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4800 papers:

POPLPOPL-2020-BeckettGMW #abstract interpretation #distributed
Abstract interpretation of distributed network control planes (RB, AG, RM, DW), p. 27.
ASPLOSASPLOS-2020-TorkMS #architecture #named
Lynx: A SmartNIC-driven Accelerator-centric Architecture for Network Servers (MT, LM, MS), pp. 117–131.
CCCC-2020-KimLKS #robust
Robust quantization of deep neural networks (YK, JL, YK, JS), pp. 74–84.
CSLCSL-2020-BielousK #game studies
Coverage and Vacuity in Network Formation Games (GB, OK), p. 18.
EDMEDM-2019-HuR #estimation #graph #performance
Academic Performance Estimation with Attention-based Graph Convolutional Networks (QH, HR).
EDMEDM-2019-KaserS #classification #interactive #modelling #student
Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments (TK, DLS).
EDMEDM-2019-TatoND #hybrid #predict #reasoning
Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills (AANT, RN, AD).
ICSMEICSME-2019-BraiekK #approach #named #search-based #testing
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks (HBB, FK), pp. 454–458.
ICSMEICSME-2019-PalacioMMBPS #identification #learning #using
Learning to Identify Security-Related Issues Using Convolutional Neural Networks (DNP, DM, KM, CBC, DP, CS), pp. 140–144.
MSRMSR-2019-GoteSS #git #mining #named #repository #scalability
git2net: mining time-stamped co-editing networks from large git repositories (CG, IS, FS), pp. 433–444.
MSRMSR-2019-LiuLZFDQ #commit #generative #using
Generating commit messages from diffs using pointer-generator network (QL, ZL, HZ, HF, BD, YQ), pp. 299–309.
SANERSANER-2019-NghiYJ #algorithm #classification #dependence
Bilateral Dependency Neural Networks for Cross-Language Algorithm Classification (BDQN, YY, LJ), pp. 422–433.
SANERSANER-2019-ZhangLML #approach #effectiveness #fault #named #using
CNN-FL: An Effective Approach for Localizing Faults using Convolutional Neural Networks (ZZ0, YL, XM, PL), pp. 445–455.
FMFM-2019-SuP0 #scalability
Controlling Large Boolean Networks with Temporary and Permanent Perturbations (CS, SP, JP0), pp. 707–724.
FMFM-2019-TranLMYNXJ #analysis #reachability
Star-Based Reachability Analysis of Deep Neural Networks (HDT, DML, PM, XY, LVN, WX, TTJ), pp. 670–686.
AIIDEAIIDE-2019-BontragerKASST #game studies #learning
“Superstition” in the Network: Deep Reinforcement Learning Plays Deceptive Games (PB, AK, DA, MS, CS, JT), pp. 10–16.
CoGCoG-2019-GiacomelloLL #generative
Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels (EG, PLL, DL), pp. 1–8.
CoGCoG-2019-ParakhCS #approach #design #game studies #problem #towards
An Approach Towards Designing Problem Networks in Serious Games (AP, PC, MS), pp. 1–8.
CoGCoG-2019-ParkMMBWL #education #game studies #generative #multi
Generating Educational Game Levels with Multistep Deep Convolutional Generative Adversarial Networks (KP, BWM, WM, KEB, ENW, JCL), pp. 1–8.
CoGCoG-2019-Sovrano #experience #random
Combining Experience Replay with Exploration by Random Network Distillation (FS), pp. 1–8.
CoGCoG-2019-TongLL #evolution #policy
Enhancing Rolling Horizon Evolution with Policy and Value Networks (XT, WL, BL0), pp. 1–8.
FDGFDG-2019-HoC #community #visualisation
Roguelike ancestry network visualisation: insights from the roguelike community (XH, MC), p. 9.
FDGFDG-2019-LuoGR #parsing #using #video
Making CNNs for video parsing accessible: event extraction from DOTA2 gameplay video using transfer, zero-shot, and network pruning (ZL, MG, MR), p. 10.
FDGFDG-2019-MillerWK #evolution
Evolving unsupervised neural networks for Slither.io (MM, MW, FK), p. 5.
FDGFDG-2019-SongW #evolution #generative #named
TownSim: agent-based city evolution for naturalistic road network generation (AS, JW), p. 9.
CoGVS-Games-2019-BakalosRDDPV #identification #using
Choreographic Pose Identification using Convolutional Neural Networks (NB, IR, ND, AD, EP, AV), pp. 1–7.
CIKMCIKM-2019-ArianAAKSS #feature model #predict
Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native (MA, EA, MA, YK, OS, RS), pp. 2557–2565.
CIKMCIKM-2019-BaiYK0LY #graph #predict
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction (LB, LY, SSK, XW0, WL0, ZY), pp. 2293–2296.
CIKMCIKM-2019-BonchiGGOR #community
Discovering Polarized Communities in Signed Networks (FB, EG, AG, BO, GR), pp. 961–970.
CIKMCIKM-2019-CaiYZR
Adversarial Structured Neural Network Pruning (XC, JY, FZ, SR), pp. 2433–2436.
CIKMCIKM-2019-CaoCL0
Nested Relation Extraction with Iterative Neural Network (YC, DC0, HL0, PL0), pp. 1001–1010.
CIKMCIKM-2019-CaoDGMT #named #query
BeLink: Querying Networks of Facts, Statements and Beliefs (TDC, LD, FG, IM, XT), pp. 2941–2944.
CIKMCIKM-2019-CaoZSX #modelling #named #sequence
HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling (YC, WZ, BS, CX), pp. 1723–1732.
CIKMCIKM-2019-ChenCCR #recommendation
A Dynamic Co-attention Network for Session-based Recommendation (WC, FC, HC, MdR), pp. 1461–1470.
CIKMCIKM-2019-ChenLX0 #classification #sentiment
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification (SC, XL, YX, LH0), pp. 1021–1030.
CIKMCIKM-2019-ChenLYZS #graph
Knowledge-aware Textual Entailment with Graph Attention Network (DC, YL, MY0, HTZ, YS), pp. 2145–2148.
CIKMCIKM-2019-ChenSHG #detection
Attention-Residual Network with CNN for Rumor Detection (YC, JS, LH, WG), pp. 1121–1130.
CIKMCIKM-2019-ChenSTCS #performance #random
Fast and Accurate Network Embeddings via Very Sparse Random Projection (HC, SFS, YT, MC, SS), pp. 399–408.
CIKMCIKM-2019-DerrJCT
Balance in Signed Bipartite Networks (TD, CJ, YC, JT), pp. 1221–1230.
CIKMCIKM-2019-DongZHSL #detection #graph #multi
Multiple Rumor Source Detection with Graph Convolutional Networks (MD, BZ, NQVH, HS, GL), pp. 569–578.
CIKMCIKM-2019-FanBSL #classification #fine-grained #prototype #scalability
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features (MF, YB, MS, PL0), pp. 2353–2356.
CIKMCIKM-2019-FanZDCSL #approach #graph #identification #learning #novel
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach (CF, LZ, YD, MC, YS, ZL), pp. 559–568.
CIKMCIKM-2019-FuL #estimation #named
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation (TYF, WCL), pp. 69–78.
CIKMCIKM-2019-Gao0WL #bidirectional #interactive #recognition
Gate-based Bidirectional Interactive Decoding Network for Scene Text Recognition (YG, YC0, JW, HL), pp. 2273–2276.
CIKMCIKM-2019-GuLL #interactive #multi
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots (JCG, ZHL, QL), pp. 2321–2324.
CIKMCIKM-2019-HeSLJPP #named #random
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding (YH, YS, JL, CJ, JP, HP), pp. 639–648.
CIKMCIKM-2019-HuangCLCHLZZW #approach #classification #multi
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach (WH, EC, QL0, YC, ZH, YL, ZZ, DZ, SW), pp. 1051–1060.
CIKMCIKM-2019-HuangSZWC #learning #self
Similarity-Aware Network Embedding with Self-Paced Learning (CH0, BS, XZ, XW, NVC), pp. 2113–2116.
CIKMCIKM-2019-HuangWWT #multi #named #self
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting (SH, DW, XW, AT), pp. 2129–2132.
CIKMCIKM-2019-HuangWZLC #classification #prototype
Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity (CH0, XW, XZ, SL, NVC), pp. 2141–2144.
CIKMCIKM-2019-HuangZDB
Deep Dynamic Fusion Network for Traffic Accident Forecasting (CH, CZ, PD, LB), pp. 2673–2681.
CIKMCIKM-2019-IslamMR #graph #named #predict #social #using
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network (MRI, SM, NR), pp. 1793–1802.
CIKMCIKM-2019-JiaoXZZ #graph #predict
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention (YJ, YX, JZ, YZ), pp. 419–428.
CIKMCIKM-2019-KangT #mining #named
N2N: Network Derivative Mining (JK, HT), pp. 861–870.
CIKMCIKM-2019-Lakhotia0 #algorithm #approximate #coordination #social
Approximation Algorithms for Coordinating Ad Campaigns on Social Networks (KL, DK0), pp. 339–348.
CIKMCIKM-2019-LeePY #named
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network (SL, CP, HY), pp. 619–628.
CIKMCIKM-2019-LeeRKKKR #graph
Graph Convolutional Networks with Motif-based Attention (JBL, RAR, XK, SK, EK, AR), pp. 499–508.
CIKMCIKM-2019-LiCWZW #feature model #graph #interactive #modelling #named #predict
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction (ZL, ZC, SW, XZ, LW0), pp. 539–548.
CIKMCIKM-2019-LiECL #clustering #identification #mobile #multi
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks (LL, SME, CAC, CL), pp. 2253–2256.
CIKMCIKM-2019-LiGLCYN #graph #hashtag #recommendation
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network (ML, TG, ML, ZC, JY, LN), pp. 509–518.
CIKMCIKM-2019-LiHLDZ #detection #named
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks (YL, XH, JL, MD, NZ), pp. 2233–2236.
CIKMCIKM-2019-LiLWXZHKCLL #multi #recommendation
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (CL, ZL, MW, YX, HZ, PH, GK, QC, WL, DLL), pp. 2615–2623.
CIKMCIKM-2019-LinPLO #recognition #using
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals (JL, SP, CSL, SLO), pp. 2069–2072.
CIKMCIKM-2019-LinWXLB #estimation #hybrid #using
Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network (XL, YW, XX, ZL, SSB), pp. 1973–1982.
CIKMCIKM-2019-LiQLYL #detection #graph #overview
Spam Review Detection with Graph Convolutional Networks (AL, ZQ, RL, YY, DL), pp. 2703–2711.
CIKMCIKM-2019-LiuZH #graph #representation #towards
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks (ZL, DZ, JH), pp. 2137–2140.
CIKMCIKM-2019-LiY0X #component
Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations (KL, FY, CF0, TX), pp. 2285–2288.
CIKMCIKM-2019-LiZWHYL #multi
Multi-Hot Compact Network Embedding (CL, LZ, SW, FH, PSY, ZL), pp. 459–468.
CIKMCIKM-2019-LongWDSJL #approach #community
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach (QL, YW, LD, GS, YJ, WL), pp. 409–418.
CIKMCIKM-2019-LuoCXQ #community
Best Co-Located Community Search in Attributed Networks (JL, XC, XX, QQ), pp. 2453–2456.
CIKMCIKM-2019-LuWSYY
Temporal Network Embedding with Micro- and Macro-dynamics (YL, XW0, CS, PSY, YY), pp. 469–478.
CIKMCIKM-2019-MauryaLM #approximate #graph #performance
Fast Approximations of Betweenness Centrality with Graph Neural Networks (SKM, XL0, TM), pp. 2149–2152.
CIKMCIKM-2019-PangWZG0 #design #generative #named
NAD: Neural Network Aided Design for Textile Pattern Generation (ZP, SW, DZ, YG, GC0), pp. 2081–2084.
CIKMCIKM-2019-PanWWYZZ #matrix #predict
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction (ZP, ZW, WW, YY, JZ, YZ), pp. 2683–2691.
CIKMCIKM-2019-ParkKZ0Y
Task-Guided Pair Embedding in Heterogeneous Network (CP, DK, QZ, JH0, HY), pp. 489–498.
CIKMCIKM-2019-PratamaZAO0 #automation #multi #streaming
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples (MP, CZ, AA, YSO, WD0), pp. 1171–1180.
CIKMCIKM-2019-QiuLHY #graph #order #recommendation
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks (RQ, JL, ZH, HY), pp. 579–588.
CIKMCIKM-2019-QiuWCZHCZB #e-commerce
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search (MQ, BW, CC, XZ, JH0, DC, JZ, FSB), pp. 2509–2515.
CIKMCIKM-2019-ShiLLP #multi
A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management (SS, JL, GL, PP), pp. 1613–1622.
CIKMCIKM-2019-ShiSLZHLZW00
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity (YS, JS, YL, NZ, XH, ZL, QZ, MW, MK0, JH0), pp. 599–608.
CIKMCIKM-2019-ShiY #analysis
Recent Developments of Deep Heterogeneous Information Network Analysis (CS, PSY), pp. 2973–2974.
CIKMCIKM-2019-ShiYZ #analysis
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications (CS, YY, JZ), pp. 2991–2992.
CIKMCIKM-2019-SongCZX #memory management #recommendation
Session-based Recommendation with Hierarchical Memory Networks (BS, YC, WZ, CX), pp. 2181–2184.
CIKMCIKM-2019-SongS0DX0T #automation #feature model #interactive #learning #named #self
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks (WS, CS, ZX0, ZD, YX, MZ0, JT), pp. 1161–1170.
CIKMCIKM-2019-TanMYYDWTYWCCY #named #predict #risk management
UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction (QT, AJM, MY, BY, HD, VWSW, YKT, TCFY, GLHW, JYLC, FKLC, PCY), pp. 109–118.
CIKMCIKM-2019-Wang0T00
Discerning Edge Influence for Network Embedding (YW, YY0, HT, FX0, JL0), pp. 429–438.
CIKMCIKM-2019-WangJLHMD #community #mining #sentiment #social
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities (XW, DJ, ML, DH, KM, JD), pp. 1763–1772.
CIKMCIKM-2019-WangL #behaviour #learning
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding (PCW, CTL), pp. 2097–2100.
CIKMCIKM-2019-WangLL #interactive #predict
Neighborhood Interaction Attention Network for Link Prediction (ZW, YL, WL), pp. 2153–2156.
CIKMCIKM-2019-WangLZHG #e-commerce #interactive #named #recommendation
QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation (PW, ZL, YZ, YH, LG), pp. 2329–2332.
CIKMCIKM-2019-WangWC #multi
Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network (HW, ZW, JC), pp. 1081–1090.
CIKMCIKM-2019-WangWLL #named
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks (HW, GW, GL, LL), pp. 1141–1149.
CIKMCIKM-2019-WuH #scalability
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy (JW, JH), pp. 2101–2104.
CIKMCIKM-2019-WuPDTZD #distance #graph #learning
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning (MW, SP, LD, IWT, XZ, BD), pp. 2157–2160.
CIKMCIKM-2019-XiaoZZXBZY #3d #multi #recognition
Multi-view Moments Embedding Network for 3D Shape Recognition (JX, YZ, PZ, KX, KB, CZ, WY), pp. 2257–2260.
CIKMCIKM-2019-XuHY #graph #learning #scalability
Scalable Causal Graph Learning through a Deep Neural Network (CX, HH, SY), pp. 1853–1862.
CIKMCIKM-2019-XuLHLX0 #e-commerce #graph #recommendation #social
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation (FX, JL, ZH, YL0, YX, XX0), pp. 529–538.
CIKMCIKM-2019-YanCKWM #2d #named #recommendation
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (AY, SC, WCK, MW, JJM), pp. 2173–2176.
CIKMCIKM-2019-YangGWSX0 #summary
Query-Specific Knowledge Summarization with Entity Evolutionary Networks (CY, LG, ZW, JS, JX, JH0), pp. 2121–2124.
CIKMCIKM-2019-YangWCW #graph #predict #using
Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks (YY, ZW, QC, LW), pp. 2161–2164.
CIKMCIKM-2019-YaoHGH #low level
Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method (SY, YH, LG, ZH), pp. 1111–1120.
CIKMCIKM-2019-YeWYJZXY #behaviour #graph #representation
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks (YY, XW, JY, KJ, JZ, YX, HY), pp. 679–688.
CIKMCIKM-2019-YouVLL #multi #recommendation
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation (DY, NV, KL, QL), pp. 1471–1480.
CIKMCIKM-2019-ZhangFYZS #framework #identification
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework (YZ, YF, YY, LZ, CS), pp. 549–558.
CIKMCIKM-2019-ZhangRZYZ #named
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network (YZ, WR, KZ, MY, JZ), pp. 1933–1942.
CIKMCIKM-2019-ZhaoZSL #recommendation
Motif Enhanced Recommendation over Heterogeneous Information Network (HZ, YZ, YS, DLL), pp. 2189–2192.
ECIRECIR-p1-2019-FardBW #predict
Relationship Prediction in Dynamic Heterogeneous Information Networks (AMF, EB, KW0), pp. 19–34.
ECIRECIR-p1-2019-Sanz-CruzadoC #information retrieval #modelling #recommendation #social
Information Retrieval Models for Contact Recommendation in Social Networks (JSC, PC), pp. 148–163.
ECIRECIR-p1-2019-VoB
Extracting Temporal Event Relations Based on Event Networks (DTV, EB), pp. 844–851.
ECIRECIR-p1-2019-ZhangJ #image #predict #twitter
Image Tweet Popularity Prediction with Convolutional Neural Network (YZ0, AJ), pp. 803–809.
ECIRECIR-p2-2019-ImaniVMS19a #query #using #word
Deep Neural Networks for Query Expansion Using Word Embeddings (AI, AV, AM, AS), pp. 203–210.
ICMLICML-2019-0002LA #multi
Exploring interpretable LSTM neural networks over multi-variable data (TG0, TL, NAF), pp. 2494–2504.
ICMLICML-2019-AlbuquerqueMDCF #generative #multi
Multi-objective training of Generative Adversarial Networks with multiple discriminators (IA, JM, TD, BC, THF, IM), pp. 202–211.
ICMLICML-2019-AletJVRLK #adaptation #graph #memory management
Graph Element Networks: adaptive, structured computation and memory (FA, AKJ, MBV, AR, TLP, LPK), pp. 212–222.
ICMLICML-2019-AnconaOG #algorithm #approximate #polynomial
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation (MA, , MHG), pp. 272–281.
ICMLICML-2019-AroraDHLW #analysis #fine-grained #optimisation
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks (SA, SSD, WH, ZL0, RW), pp. 322–332.
ICMLICML-2019-BeckerPGZTN
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces (PB, HP, GHWG, CZ, CJT, GN), pp. 544–552.
ICMLICML-2019-BehrmannGCDJ
Invertible Residual Networks (JB, WG, RTQC, DD, JHJ), pp. 573–582.
ICMLICML-2019-BiePC #probability
Stochastic Deep Networks (GdB, GP, MC), pp. 1556–1565.
ICMLICML-2019-BiettiMCM #kernel
A Kernel Perspective for Regularizing Deep Neural Networks (AB, GM, DC, JM), pp. 664–674.
ICMLICML-2019-CasadoM #constraints #orthogonal
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group (MLC, DMR), pp. 3794–3803.
ICMLICML-2019-ChattopadhyayMS #perspective
Neural Network Attributions: A Causal Perspective (AC, PM, AS, VNB), pp. 981–990.
ICMLICML-2019-ChenLCZ #comprehension
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels (PC, BL, GC, SZ), pp. 1062–1070.
ICMLICML-2019-ChenTZB00 #approach #generative
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization (YC, MT, CZ, BB, DH0, JP0), pp. 1071–1080.
ICMLICML-2019-ChiquetRM #re-engineering
Variational Inference for sparse network reconstruction from count data (JC, SR, MM), pp. 1162–1171.
ICMLICML-2019-CohenWKW
Gauge Equivariant Convolutional Networks and the Icosahedral CNN (TC, MW, BK, MW), pp. 1321–1330.
ICMLICML-2019-DuH #linear #matter #optimisation
Width Provably Matters in Optimization for Deep Linear Neural Networks (SSD, WH), pp. 1655–1664.
ICMLICML-2019-DuLL0Z
Gradient Descent Finds Global Minima of Deep Neural Networks (SSD, JDL, HL, LW0, XZ), pp. 1675–1685.
ICMLICML-2019-DziedzicPKEF
Band-limited Training and Inference for Convolutional Neural Networks (AD, JP, SK, AJE, MJF), pp. 1745–1754.
ICMLICML-2019-FischerBDGZV #logic #named #query
DL2: Training and Querying Neural Networks with Logic (MF, MB, DDC, TG, CZ, MTV), pp. 1931–1941.
ICMLICML-2019-FranceschiNPH #graph #learning
Learning Discrete Structures for Graph Neural Networks (LF, MN, MP, XH), pp. 1972–1982.
ICMLICML-2019-FuLTL #black box #generative #metric #named #optimisation #speech
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (SWF, CFL, YT0, SDL), pp. 2031–2041.
ICMLICML-2019-GeifmanE #named
SelectiveNet: A Deep Neural Network with an Integrated Reject Option (YG, REY), pp. 2151–2159.
ICMLICML-2019-GhaffariLM #algorithm #clustering #parallel
Improved Parallel Algorithms for Density-Based Network Clustering (MG, SL, SM), pp. 2201–2210.
ICMLICML-2019-GoldfeldBGMNKP #data flow
Estimating Information Flow in Deep Neural Networks (ZG, EvdB, KHG, IM, NN, BK, YP), pp. 2299–2308.
ICMLICML-2019-HaberLTR
IMEXnet A Forward Stable Deep Neural Network (EH, KL, ET, LR), pp. 2525–2534.
ICMLICML-2019-HacohenW #education #learning #on the #power of
On The Power of Curriculum Learning in Training Deep Networks (GH, DW), pp. 2535–2544.
ICMLICML-2019-HaninR #complexity #linear
Complexity of Linear Regions in Deep Networks (BH, DR), pp. 2596–2604.
ICMLICML-2019-HavivRB #comprehension #memory management
Understanding and Controlling Memory in Recurrent Neural Networks (DH, AR, OB), pp. 2663–2671.
ICMLICML-2019-HayouDR #on the
On the Impact of the Activation function on Deep Neural Networks Training (SH, AD, JR), pp. 2672–2680.
ICMLICML-2019-HsiehLC #generative #nash
Finding Mixed Nash Equilibria of Generative Adversarial Networks (YPH, CL, VC), pp. 2810–2819.
ICMLICML-2019-JeongKKN #graph #modelling #music #performance
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance (DJ, TK, YK, JN), pp. 3060–3070.
ICMLICML-2019-JeongLK
Ladder Capsule Network (TJ, YL, HK), pp. 3071–3079.
ICMLICML-2019-KayaHD #comprehension
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking (YK, SH, TD), pp. 3301–3310.
ICMLICML-2019-KenterWCCV #named #speech #synthesis
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network (TK, VW, CaC, RC, JV), pp. 3331–3340.
ICMLICML-2019-KoLWDWL #named #robust
POPQORN: Quantifying Robustness of Recurrent Neural Networks (CYK, ZL, LW, LD, NW, DL), pp. 3468–3477.
ICMLICML-2019-Kornblith0LH #revisited #similarity
Similarity of Neural Network Representations Revisited (SK, MN0, HL, GEH), pp. 3519–3529.
ICMLICML-2019-Labatie
Characterizing Well-Behaved vs. Pathological Deep Neural Networks (AL), pp. 3611–3621.
ICMLICML-2019-LambBGSMBM #modelling
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations (AL, JB, AG, SS, IM, YB, MM), pp. 3622–3631.
ICMLICML-2019-LeeLKKCT #framework #invariant #set
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks (JL, YL, JK, ARK, SC, YWT), pp. 3744–3753.
ICMLICML-2019-LiDMMHH #learning #named
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning (HYL, WD, XM, CM, FH, BGH), pp. 3825–3834.
ICMLICML-2019-LiGDVK #graph #learning #similarity
Graph Matching Networks for Learning the Similarity of Graph Structured Objects (YL, CG, TD, OV, PK), pp. 3835–3845.
ICMLICML-2019-LiLWZG #black box #learning #named
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks (YL, LL, LW, TZ, BG), pp. 3866–3876.
ICMLICML-2019-LiYZH
Feature-Critic Networks for Heterogeneous Domain Generalization (YL, YY, WZ, TMH), pp. 3915–3924.
ICMLICML-2019-Ma0KW0 #graph
Disentangled Graph Convolutional Networks (JM, PC0, KK, XW0, WZ0), pp. 4212–4221.
ICMLICML-2019-MahoneyM #modelling
Traditional and Heavy Tailed Self Regularization in Neural Network Models (MWM, CM), pp. 4284–4293.
ICMLICML-2019-MaronFSL #invariant #on the
On the Universality of Invariant Networks (HM, EF, NS, YL), pp. 4363–4371.
ICMLICML-2019-MehtaCR #graph #probability
Stochastic Blockmodels meet Graph Neural Networks (NM, LC, PR), pp. 4466–4474.
ICMLICML-2019-MellerFAG #fault
Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization (EM, AF, UA, MG), pp. 4486–4495.
ICMLICML-2019-MendisRAC #estimation #named #performance #throughput #using
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks (CM, AR, SPA, MC), pp. 4505–4515.
ICMLICML-2019-MostafaW #parametricity #performance
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization (HM, XW), pp. 4646–4655.
ICMLICML-2019-NayakMSRC
Zero-Shot Knowledge Distillation in Deep Networks (GKN, KRM, VS, VBR, AC), pp. 4743–4751.
ICMLICML-2019-NoklandE #fault
Training Neural Networks with Local Error Signals (AN, LHE), pp. 4839–4850.
ICMLICML-2019-OdenaOAG #debugging #fuzzing #named
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing (AO, CO, DA, IJG), pp. 4901–4911.
ICMLICML-2019-OonoS #approximate #estimation #parametricity
Approximation and non-parametric estimation of ResNet-type convolutional neural networks (KO, TS), pp. 4922–4931.
ICMLICML-2019-PanousisCT #contest #parametricity
Nonparametric Bayesian Deep Networks with Local Competition (KPP, SC, ST), pp. 4980–4988.
ICMLICML-2019-ParkSLS #empirical #probability
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study (DSP, JSD, QVL, SLS), pp. 5042–5051.
ICMLICML-2019-PengWCH #collaboration
Collaborative Channel Pruning for Deep Networks (HP, JW, SC, JH), pp. 5113–5122.
ICMLICML-2019-QuBT #graph #markov #named
GMNN: Graph Markov Neural Networks (MQ, YB, JT0), pp. 5241–5250.
ICMLICML-2019-RahamanBADLHBC #bias #on the
On the Spectral Bias of Neural Networks (NR, AB, DA, FD, ML, FAH, YB, ACC), pp. 5301–5310.
ICMLICML-2019-RahmanJG #compilation
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation (TR, SJ, VG), pp. 5311–5320.
ICMLICML-2019-RatzlaffL #generative #named
HyperGAN: A Generative Model for Diverse, Performant Neural Networks (NR, FL), pp. 5361–5369.
ICMLICML-2019-ShenHCD #independence #testing
Conditional Independence in Testing Bayesian Networks (YS, HH, AC, AD), pp. 5701–5709.
ICMLICML-2019-ShiK0 #modelling #scalability
Scalable Training of Inference Networks for Gaussian-Process Models (JS, MEK, JZ0), pp. 5758–5768.
ICMLICML-2019-Simon-GabrielOB #first-order
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension (CJSG, YO, LB, BS, DLP), pp. 5809–5817.
ICMLICML-2019-SimsekliSG #analysis #probability
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks (US, LS, MG), pp. 5827–5837.
ICMLICML-2019-SinghTJGB #generative #parametricity
Non-Parametric Priors For Generative Adversarial Networks (RS, PKT, SJ, RG, MWB), pp. 5838–5847.
ICMLICML-2019-TaiBV
Equivariant Transformer Networks (KST, PB, GV), pp. 6086–6095.
ICMLICML-2019-TanL #named #scalability
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (MT, QVL), pp. 6105–6114.
ICMLICML-2019-TranKSK #named #using
DeepNose: Using artificial neural networks to represent the space of odorants (NBT, DRK, SS, AAK), pp. 6305–6314.
ICMLICML-2019-TurnerHFSY #generative
Metropolis-Hastings Generative Adversarial Networks (RDT, JH, EF, YS, JY), pp. 6345–6353.
ICMLICML-2019-VladimirovaVMA #comprehension
Understanding Priors in Bayesian Neural Networks at the Unit Level (MV, JV, PM, JA), pp. 6458–6467.
ICMLICML-2019-Wang0XZ
Convolutional Poisson Gamma Belief Network (CW, BC0, SX, MZ), pp. 6515–6525.
ICMLICML-2019-WangN
State-Regularized Recurrent Neural Networks (CW, MN), pp. 6596–6606.
ICMLICML-2019-WangZB #bias #matter
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation (SW, TZ, JAB), pp. 6659–6667.
ICMLICML-2019-WangZB19a
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs (SW, TZ, JAB), pp. 6668–6676.
ICMLICML-2019-WengCNSBOD #approach #named #probability #robust #verification
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach (LW, PYC, LMN, MSS, AB, IVO, LD), pp. 6727–6736.
ICMLICML-2019-WiqvistMPF #approximate #architecture #learning #statistics #summary
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation (SW, PAM, UP, JF), pp. 6798–6807.
ICMLICML-2019-WuSZFYW #graph
Simplifying Graph Convolutional Networks (FW, AHSJ, TZ, CF, TY, KQW), pp. 6861–6871.
ICMLICML-2019-YangWLCXS0X #named #performance
LegoNet: Efficient Convolutional Neural Networks with Lego Filters (ZY, YW, CL, HC, CX, BS, CX0, CX0), pp. 7005–7014.
ICMLICML-2019-YoonSM #adaptation #learning #named
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning (SWY, JS, JM), pp. 7115–7123.
ICMLICML-2019-YouYL #graph
Position-aware Graph Neural Networks (JY, RY, JL), pp. 7134–7143.
ICMLICML-2019-YuCGY #graph #learning #named
DAG-GNN: DAG Structure Learning with Graph Neural Networks (YY, JC, TG, MY), pp. 7154–7163.
ICMLICML-2019-YurochkinAGGHK #learning #parametricity
Bayesian Nonparametric Federated Learning of Neural Networks (MY, MA, SG, KHG, TNH, YK), pp. 7252–7261.
ICMLICML-2019-YuTRKSAZL #distributed #learning
Distributed Learning over Unreliable Networks (CY, HT, CR, SK, AS, DA, CZ, JL0), pp. 7202–7212.
ICMLICML-2019-Zhang #invariant
Making Convolutional Networks Shift-Invariant Again (RZ), pp. 7324–7334.
ICMLICML-2019-ZhangGMO #generative #self
Self-Attention Generative Adversarial Networks (HZ0, IJG, DNM, AO), pp. 7354–7363.
ICMLICML-2019-ZhangHK #design #distributed #graph #named
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design (GZ, HH, DK), pp. 7364–7373.
ICMLICML-2019-ZhangS #learning
Co-Representation Network for Generalized Zero-Shot Learning (FZ, GS), pp. 7434–7443.
ICMLICML-2019-ZhangZ
Interpreting Adversarially Trained Convolutional Neural Networks (TZ, ZZ), pp. 7502–7511.
ICMLICML-2019-ZhaoHDSZ #using
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting (RZ, YH, JD, CDS, ZZ), pp. 7543–7552.
ICMLICML-2019-ZhouLLLZZ #comprehension #towards
Toward Understanding the Importance of Noise in Training Neural Networks (MZ, TL, YL, DL, EZ, TZ), pp. 7594–7602.
KDDKDD-2019-0001WAT #graph
Graph Convolutional Networks with EigenPooling (YM0, SW, CCA, JT), pp. 723–731.
KDDKDD-2019-AmelkinS #recommendation #social
Fighting Opinion Control in Social Networks via Link Recommendation (VA, AKS), pp. 677–685.
KDDKDD-2019-CenZZYZ0 #learning #multi #representation
Representation Learning for Attributed Multiplex Heterogeneous Network (YC, XZ, JZ, HY, JZ, JT0), pp. 1358–1368.
KDDKDD-2019-ChenBF #modelling #on the
On Dynamic Network Models and Application to Causal Impact (YCC, ASB, JLF), pp. 1194–1204.
KDDKDD-2019-ChiangLSLBH #algorithm #clustering #graph #named #performance #scalability
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (WLC, XL, SS, YL0, SB, CJH), pp. 257–266.
KDDKDD-2019-Do0V #graph transformation #policy #predict
Graph Transformation Policy Network for Chemical Reaction Prediction (KD, TT0, SV), pp. 750–760.
KDDKDD-2019-DongBB
Network Density of States (KD, ARB, DB), pp. 1152–1161.
KDDKDD-2019-Eliassi-RadCL #bias
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions (TER, RSC, TL), pp. 3217–3218.
KDDKDD-2019-FanZHSHML #graph #recommendation
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation (SF, JZ, XH, CS, LH, BM, YL), pp. 2478–2486.
KDDKDD-2019-FawazKPSM #quantum
Training and Meta-Training Binary Neural Networks with Quantum Computing (AF, PK, SP, SS, PM), pp. 1674–1681.
KDDKDD-2019-GaoJ #graph #learning #representation
Graph Representation Learning via Hard and Channel-Wise Attention Networks (HG, SJ), pp. 741–749.
KDDKDD-2019-GaoPH #graph #random
Conditional Random Field Enhanced Graph Convolutional Neural Networks (HG, JP, HH), pp. 276–284.
KDDKDD-2019-GaoPH19a #generative #named #proximity
ProGAN: Network Embedding via Proximity Generative Adversarial Network (HG, JP, HH), pp. 1308–1316.
KDDKDD-2019-GengLLJXZYLZ #named #predict
LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction (YaG, QL, TL, LJ, LX, DZ, WY, WL, YZ), pp. 2439–2447.
KDDKDD-2019-GrislainPT #probability #realtime
Recurrent Neural Networks for Stochastic Control in Real-Time Bidding (NG, NP0, AT), pp. 2801–2809.
KDDKDD-2019-GuoHJZW0 #behaviour #multi #predict #realtime #using
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior (LG, LH, RJ, BZ, XW, BC0), pp. 1984–1992.
KDDKDD-2019-HanYZSLZ0K #graph #identification #matrix #named
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (PH, PY, PZ, SS, YL0, JZ, XG0, PK), pp. 705–713.
KDDKDD-2019-HartvigsenSKR #adaptation #classification #policy
Adaptive-Halting Policy Network for Early Classification (TH, CS, XK, EAR), pp. 101–110.
KDDKDD-2019-HeLLH #learning
Learning Network-to-Network Model for Content-rich Network Embedding (ZH, JL0, NL, YH), pp. 1037–1045.
KDDKDD-2019-Huang0DLLPST0Y0 #algorithm #learning #theory and practice
Learning From Networks: Algorithms, Theory, and Applications (XH, PC0, YD, JL, HL0, JP, LS, JT0, FW0, HY, WZ0), pp. 3221–3222.
KDDKDD-2019-HuangSLH #graph #random
Graph Recurrent Networks With Attributed Random Walks (XH, QS, YL, XH), pp. 732–740.
KDDKDD-2019-HuFS #learning
Adversarial Learning on Heterogeneous Information Networks (BH, YF0, CS), pp. 120–129.
KDDKDD-2019-HuH #learning #named #set
Sets2Sets: Learning from Sequential Sets with Neural Networks (HH, XH0), pp. 1491–1499.
KDDKDD-2019-JinHSWLSK #email
Smart Roles: Inferring Professional Roles in Email Networks (DJ, MH, TS, MW, WL, LS, DK), pp. 2923–2933.
KDDKDD-2019-JinRKKRK #summary
Latent Network Summarization: Bridging Network Embedding and Summarization (DJ, RAR, EK, SK, AR, DK), pp. 987–997.
KDDKDD-2019-KitadaIS #effectiveness #multi #predict #using
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives (SK, HI, YS), pp. 2069–2077.
KDDKDD-2019-KumarZL #interactive #predict
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks (SK, XZ, JL), pp. 1269–1278.
KDDKDD-2019-LiGL0 #adaptation #feature model
Adaptive Unsupervised Feature Selection on Attributed Networks (JL, RG, CL, HL0), pp. 92–100.
KDDKDD-2019-LiQWM #ranking
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (PL0, ZQ, XW, DM), pp. 2032–2040.
KDDKDD-2019-LiST #classification #higher-order #markov #multi #predict #random
Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification (CL, DS, DT), pp. 1141–1151.
KDDKDD-2019-LiuTLYZH
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding (NL, QT, YL, HY, JZ, XH), pp. 932–940.
KDDKDD-2019-MaKL #recommendation
Hierarchical Gating Networks for Sequential Recommendation (CM, PK, XL), pp. 825–833.
KDDKDD-2019-MartinM #quality #statistics
Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks (CHM, MWM), pp. 3239–3240.
KDDKDD-2019-MengZXZX #predict
A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction (QM, HZ, KX, LZ, HX), pp. 14–24.
KDDKDD-2019-OuyangZLZXLD #predict
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction (WO, XZ, LL, HZ, XX, ZL, YD), pp. 2078–2086.
KDDKDD-2019-PangSH #detection
Deep Anomaly Detection with Deviation Networks (GP, CS, AvdH), pp. 353–362.
KDDKDD-2019-ParkKDZF #graph #using
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks (NP, AK, XLD, TZ, CF), pp. 596–606.
KDDKDD-2019-RozenshteinG #mining
Mining Temporal Networks (PR, AG), pp. 3225–3226.
KDDKDD-2019-ShangSL0 #mining
Constructing and Mining Heterogeneous Information Networks from Massive Text (JS, JS, LL, JH0), pp. 3191–3192.
KDDKDD-2019-SunZZSHX #approach
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach (YS, FZ, HZ, XS, QH, HX), pp. 1625–1633.
KDDKDD-2019-SuZNLSP #detection #multi #probability #robust
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (YS, YZ, CN, RL, WS, DP), pp. 2828–2837.
KDDKDD-2019-TaoLZZWFC #detection #game studies #multi #named #online
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games (JT, JL, SZ, SZ, RW, CF, PC), pp. 2536–2546.
KDDKDD-2019-TuM0P0 #named #optimisation
AutoNE: Hyperparameter Optimization for Massive Network Embedding (KT, JM, PC0, JP, WZ0), pp. 216–225.
KDDKDD-2019-VermaZ #graph
Stability and Generalization of Graph Convolutional Neural Networks (SV, ZLZ), pp. 1539–1548.
KDDKDD-2019-Wang00LC #graph #named #recommendation
KGAT: Knowledge Graph Attention Network for Recommendation (XW, XH0, YC0, ML0, TSC), pp. 950–958.
KDDKDD-2019-WangWZPL #algorithm #personalisation #recommendation
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation (JW, NW, WXZ, FP, XL), pp. 539–547.
KDDKDD-2019-WangXLLCDWS #framework #learning #multi #named #social
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network (HW, TX, QL0, DL, EC, DD, HW, WS), pp. 1064–1072.
KDDKDD-2019-WangZTWX #named #using
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks (JW, YZ0, KT, JW, ZX), pp. 1900–1908.
KDDKDD-2019-WangZZLZLW #graph #recommendation
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (HW, FZ, MZ, JL, MZ, WL, ZW), pp. 968–977.
KDDKDD-2019-WeiCZWGXL #coordination #learning #named
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (HW, CC, GZ, KW, VVG, KX, ZL), pp. 1290–1298.
KDDKDD-2019-WuHX #classification #graph #named
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification (JW, JH, JX), pp. 406–415.
KDDKDD-2019-XiaLGLCS #case study #detection #mobile #privacy #social
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study (ZX, CL, NZG, QL0, YC0, DS), pp. 2012–2022.
KDDKDD-2019-XuH0D #predict #social
Link Prediction with Signed Latent Factors in Signed Social Networks (PX, WH, JW0, BD), pp. 1046–1054.
KDDKDD-2019-Yang #framework #graph #named #platform
AliGraph: A Comprehensive Graph Neural Network Platform (HY), pp. 3165–3166.
KDDKDD-2019-YanZDSSK #classification #named
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data (YY, JZ, MD, ES, CSS, DK), pp. 772–782.
KDDKDD-2019-YeSDFTX #multi #predict
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network (JY, LS, BD, YF, XT, HX), pp. 305–313.
KDDKDD-2019-ZhangSHSC #graph
Heterogeneous Graph Neural Network (CZ, DS, CH0, AS, NVC), pp. 793–803.
KDDKDD-2019-ZhaoDSZLX #learning #multi #relational
Multiple Relational Attention Network for Multi-task Learning (JZ, BD, LS, FZ, WL, HX), pp. 1123–1131.
KDDKDD-2019-ZheSX #community #detection #scalability
Community Detection on Large Complex Attribute Network (CZ, AS, XX), pp. 2041–2049.
KDDKDD-2019-ZhouMGBB #comprehension #using
Understanding Consumer Journey using Attention based Recurrent Neural Networks (YZ, SM, JG, TB, NB), pp. 3102–3111.
KDDKDD-2019-ZhouMZ #memory management #personalisation #recommendation #topic
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (XZ, CM, ZZ), pp. 3018–3028.
KDDKDD-2019-ZhuZ00 #graph #robust
Robust Graph Convolutional Networks Against Adversarial Attacks (DZ, ZZ, PC0, WZ0), pp. 1399–1407.
KDDKDD-2019-ZugnerG #graph #robust
Certifiable Robustness and Robust Training for Graph Convolutional Networks (DZ, SG), pp. 246–256.
MoDELSMoDELS-2019-BurguenoCG #architecture #model transformation
An LSTM-Based Neural Network Architecture for Model Transformations (LB, JC, SG), pp. 294–299.
OOPSLAOOPSLA-2019-LiWNN #debugging #detection #learning #representation
Improving bug detection via context-based code representation learning and attention-based neural networks (YL, SW0, TNN, SVN), p. 30.
PLATEAUPLATEAU-2019-ZhaoF0I #learning #live programming #programming #visualisation
Live Programming Environment for Deep Learning with Instant and Editable Neural Network Visualization (CZ, TF, JK0, TI), p. 5.
PEPMPEPM-2019-XuZWCGX
Method name suggestion with hierarchical attention networks (SX, SZ, WW, XC, CG, JX0), pp. 10–21.
PLDIPLDI-2019-AndersonPDC #abstraction #approach #optimisation #robust
Optimization and abstraction: a synergistic approach for analyzing neural network robustness (GA, SP, ID, SC), pp. 731–744.
PLDIPLDI-2019-SmolkaKKFHK0 #probability #scalability #verification
Scalable verification of probabilistic networks (SS, PK0, DMK, NF, JH, DK, AS0), pp. 190–203.
POPLPOPL-2019-SinghGPV #abstract domain
An abstract domain for certifying neural networks (GS, TG, MP, MTV), p. 30.
SASSAS-2019-LiLYCHZ #performance #precise #towards #verification
Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification (JL, JL, PY, LC, XH0, LZ0), pp. 296–319.
ASEASE-2019-BaoLWF #automation #generative #named
ACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks (LB, XL, FW, BF), pp. 465–476.
ASEASE-2019-BuiYJ #named
AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation (NDQB, YY, LJ), pp. 38–41.
ASEASE-2019-ChenPSAZ #cyber-physical #fuzzing #testing
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences (YC, CMP, JS, SA, FZ), pp. 962–973.
ASEASE-2019-DuX000Z #analysis #framework
A Quantitative Analysis Framework for Recurrent Neural Network (XD, XX, YL0, LM0, YL0, JZ), pp. 1062–1065.
ASEASE-2019-GopinathCPT
Property Inference for Deep Neural Networks (DG, HC, CSP, AT), pp. 797–809.
ASEASE-2019-WanSSXZ0Y #learning #multi #retrieval #semantics #source code
Multi-modal Attention Network Learning for Semantic Source Code Retrieval (YW, JS, YS, GX, ZZ, JW0, PSY), pp. 13–25.
ASEASE-2019-XieCLM0Z #fuzzing
Coverage-Guided Fuzzing for Feedforward Neural Networks (XX, HC, YL0, LM0, YL0, JZ), pp. 1162–1165.
ESEC-FSEESEC-FSE-2019-Golzadeh #congruence #dependence
Analysing socio-technical congruence in the package dependency network of Cargo (MG), pp. 1226–1228.
ESEC-FSEESEC-FSE-2019-Pan #analysis #robust
Static deep neural network analysis for robustness (RP), pp. 1238–1240.
ICSE-2019-HaZ #configuration management #named #performance #predict
DeepPerf: performance prediction for configurable software with deep sparse neural network (HH, HZ0), pp. 1095–1106.
ICSE-2019-WangD00Z #detection #mutation testing #testing
Adversarial sample detection for deep neural network through model mutation testing (JW, GD, JS0, XW0, PZ), pp. 1245–1256.
ASPLOSASPLOS-2019-JinH #memory management #named #optimisation
Split-CNN: Splitting Window-based Operations in Convolutional Neural Networks for Memory System Optimization (TJ, SH), pp. 835–847.
ASPLOSASPLOS-2019-KungMZ #array #implementation #optimisation #performance
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization (HTK, BM, SQZ), pp. 821–834.
ASPLOSASPLOS-2019-LascorzJSPMSNSM #approach #hardware #named
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks (ADL, PJ, DMS, ZP, MM, SS, MN, KS, AM), pp. 749–763.
ASPLOSASPLOS-2019-RouhaniCK #framework #named
DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks (BDR, HC, FK), pp. 485–497.
CASECASE-2019-ChangLH #coordination #detection #realtime #using
Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks (YMC, CHGL, YFH), pp. 1347–1352.
CASECASE-2019-JiangL #bound #game studies
Bayesian Stackelberg Game Model for Water Supply Networks against Bounded Rational Interdictors (JJ, XL), pp. 842–847.
CASECASE-2019-KebriaKJN19a #fuzzy #nondeterminism
Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties (PMK, AK, SMJJ, SN), pp. 1625–1630.
CASECASE-2019-LiuZHZWW #estimation #learning #using
sEMG-Based Continuous Estimation of Knee Joint Angle Using Deep Learning with Convolutional Neural Network (GL, LZ, BH, TZ, ZW, PW), pp. 140–145.
CASECASE-2019-MaoDSK #optimisation
Optimizing a UAV-based Emergency Medical Service Network for Trauma Injury Patients (RM, BD, DS, NK), pp. 721–726.
CASECASE-2019-Martinez-SeisLW #community #quality #social
Measure community quality by attribute importance and density in social networks (BMS, XL, XW), pp. 628–633.
CASECASE-2019-NguyenLLGL #self #using
Visual-Guided Robot Arm Using Self-Supervised Deep Convolutional Neural Networks (VTN, CL, CHGL, SMG, JJJL), pp. 1415–1420.
CASECASE-2019-NiuLNLW #detection #fault #generative #named #using
DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network (SN, HL, TN, BL, XW), pp. 127–132.
CASECASE-2019-PriggemeyerGR
Passive Device Synchronization for the External Control of Robotic Applications in Ethernet Networks based on a Phase-Locked Loop (MP, KG, JR), pp. 1643–1650.
CASECASE-2019-SubramanianC #automation #embedded #normalisation
Mean Spectral Normalization of Deep Neural Networks for Embedded Automation (AKS, NYC), pp. 249–256.
CASECASE-2019-SunLY #detection #using
Railway Joint Detection Using Deep Convolutional Neural Networks (YS, YL, CY), pp. 235–240.
CASECASE-2019-SunW #algorithm #assembly #design #hybrid
Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing (BqS, LW), pp. 885–890.
CASECASE-2019-TsayL #automation #multi #visual notation
Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks (CT, ZL), pp. 1802–1807.
CASECASE-2019-WuPZ #algorithm #fault tolerance #heuristic
A heuristic pathfinding algorithm for dynamic fault tolerance in manufacturing networks (YW, GP, HZ), pp. 1580–1585.
CASECASE-2019-ZhangDWLL #estimation
Remaining Useful Life Estimation Based on a New Convolutional and Recurrent Neural Network (XZ, YD, LW, FL, WL), pp. 317–322.
CASECASE-2019-ZhangLWGG #fault #learning #using
Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network (ZZ, XL, LW, LG0, YG), pp. 305–310.
CASECASE-2019-ZhangXZW #algorithm #distributed #estimation
A Decentralized State Estimation Algorithm for Building Electrical Distribution Network Based on ADMM (YZ, JX, QZ, SW), pp. 756–761.
CASECASE-2019-ZhaoXSLSW #3d #predict
Nonlinear Deformation Prediction and Compensation for 3D Printing Based on CAE Neural Networks (MZ, GX, XS, CL, ZS, HW), pp. 667–672.
FASEFASE-2019-EniserGS #fault #locality #named
DeepFault: Fault Localization for Deep Neural Networks (HFE, SG, AS0), pp. 171–191.
CAVCAV-2019-CeskaK #abstraction #analysis
Semi-quantitative Abstraction and Analysis of Chemical Reaction Networks (MC0, JK), pp. 475–496.
CAVCAV-2019-KatzHIJLLSTWZDK #analysis #framework #verification
The Marabou Framework for Verification and Analysis of Deep Neural Networks (GK, DAH, DI, KJ, CL, RL, PS, ST, HW0, AZ, DLD, MJK, CWB), pp. 443–452.
CAVCAV-2019-BackesBCDGHKKKK #analysis #reachability
Reachability Analysis for AWS-Based Networks (JB, SB, BC, CD, AG, AJH, TK, BK, EK, JK, SM, JR0, NR, JS, MAS, PS, PS, CV, BW), pp. 231–241.
CAVCAV-2019-GiannarakisBMW #fault tolerance #performance #refinement #verification
Efficient Verification of Network Fault Tolerance via Counterexample-Guided Refinement (NG, RB, RM, DW), pp. 305–323.
ICSTICST-2019-LeeHYKKY #integration #static analysis #using
Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks (SL, SH, JY, TK, CJK, SY), pp. 391–401.
ICSAICSA-2018-TenbergenDOB #cyber-physical #modelling
View-Centric Context Modeling to Foster the Engineering of Cyber-Physical System Networks (BT, MD, PAO, JB), pp. 206–216.
JCDLJCDL-2018-DengTF #case study #interactive #library #social
Interaction on An Academic Social Networking Sites: A Study of ResearchGate Q&A on Library and Information Science (SD, JT, SF), pp. 25–28.
JCDLJCDL-2018-SiegelLPA
Extracting Scientific Figures with Distantly Supervised Neural Networks (NS, NL, RP, WA), pp. 223–232.
JCDLJCDL-2018-ZhangW #ranking
Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement (FZ, SW), pp. 127–130.
EDMEDM-2018-PytlarzPPP #predict #student #transaction #what
What can we learn from college students' network transactions? Constructing useful features for student success prediction (IP, SP, MP, RP).
ICPCICPC-2018-OttAHBAFL #learning #programming language #using
Learning lexical features of programming languages from imagery using convolutional neural networks (JO, AA, PH, NB, HA, CF, EL), pp. 336–339.
ICSMEICSME-2018-DecanMC #dependence #evolution #on the
On the Evolution of Technical Lag in the npm Package Dependency Network (AD, TM, EC), pp. 404–414.
ICSMEICSME-2018-JansenHT #case study #detection #energy #evolution #predict #spreadsheet
Detecting and Predicting Evolution in Spreadsheets - A Case Study in an Energy Network Company (BJ, FH, ET), pp. 645–654.
MSRMSR-2018-DecanMC #dependence #on the #security
On the impact of security vulnerabilities in the npm package dependency network (AD, TM, EC), pp. 181–191.
SANERSANER-2018-KatzRS #decompiler #using
Using recurrent neural networks for decompilation (DSK, JR, ES), pp. 346–356.
SANERSANER-2018-LiSS #automation #requirements
Extracting features from requirements: Achieving accuracy and automation with neural networks (YL0, SS, GS), pp. 477–481.
SANERSANER-2018-NguyenNPN #source code
A deep neural network language model with contexts for source code (ATN0, TDN, HDP, TNN), pp. 323–334.
CIAACIAA-2018-Condon #algorithm #analysis #design #on the
On Design and Analysis of Chemical Reaction Network Algorithms (AC), pp. 1–3.
FMFM-2018-PardoSS #knowledge base #social
Timed Epistemic Knowledge Bases for Social Networks (RP, CS, GS), pp. 185–202.
IFM-2018-Galpin #formal method #modelling
Formal Modelling of Software Defined Networking (VG), pp. 172–193.
AIIDEAIIDE-2018-NeufeldMB #approach #behaviour #execution #hybrid
A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees (XN, SM, SB), pp. 201–207.
CHI-PLAYCHI-PLAY-2018-RoohiTKH #analysis
Neural Network Based Facial Expression Analysis of GameEvents: A Cautionary Tale (SR, JT, JMK, PH), pp. 429–437.
CoGCIG-2018-WanK #evaluation
Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks (SW, TK), pp. 1–8.
CoGCIG-2018-WoofC #game studies #learning
Learning to Play General Video-Games via an Object Embedding Network (WW, KC), pp. 1–8.
FDGFDG-2018-PlumbKS #clustering #game studies #hybrid #multi #online #using
Hybrid network clusters using common gameplay for massively multiplayer online games (JNP, SKK, RS), p. 10.
CIKMCIKM-2018-0001CWCLJSZ #named #social
MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks (JZ0, BC, XW, HC0, CL, FJ, GS, YZ), pp. 327–336.
CIKMCIKM-2018-AdigaCKMRRS #modelling #probability #query #using
Inferring Probabilistic Contagion Models Over Networks Using Active Queries (AA, VCM, CJK, MVM, SSR, DJR, RES), pp. 377–386.
CIKMCIKM-2018-CaoCCTLL #assessment #behaviour #community #detection #enterprise
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks (CC, ZC, JC, LAT, CL, ZL), pp. 1977–1985.
CIKMCIKM-2018-ChaeKKL #collaboration #framework #generative #named
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks (DKC, JSK, SWK, JTL), pp. 137–146.
CIKMCIKM-2018-ChenQLS #quote
“Bridge”: Enhanced Signed Directed Network Embedding (YC, TQ, HL, KS), pp. 773–782.
CIKMCIKM-2018-ChenSTPCS
Enhanced Network Embeddings via Exploiting Edge Labels (HC, XS, YT, BP, MC, SS), pp. 1579–1582.
CIKMCIKM-2018-ChenWH #graph #predict
Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (YC, ZW, XH), pp. 1655–1658.
CIKMCIKM-2018-CirsteaMMG0 #correlation #multi #using
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks (RGC, DVM, GMM, CG, BY0), pp. 1527–1530.
CIKMCIKM-2018-DerrAT #modelling
Signed Network Modeling Based on Structural Balance Theory (TD, CCA, JT), pp. 557–566.
CIKMCIKM-2018-EsuliF0 #quantifier #sentiment
A Recurrent Neural Network for Sentiment Quantification (AE, AMF, FS0), pp. 1775–1778.
CIKMCIKM-2018-FanLFSL #identification #semantics
A Globalization-Semantic Matching Neural Network for Paraphrase Identification (MF, WL, YF, MS, PL0), pp. 2067–2075.
CIKMCIKM-2018-FanSW #detection
Abnormal Event Detection via Heterogeneous Information Network Embedding (SF, CS, XW0), pp. 1483–1486.
CIKMCIKM-2018-GalimbertiBBCG #mining
Mining (maximal) Span-cores from Temporal Networks (EG, AB, FB, CC, FG), pp. 107–116.
CIKMCIKM-2018-GaoJLD0 #identification #social
User Identification with Spatio-Temporal Awareness across Social Networks (XG, WJ, YL0, YD, WD0), pp. 1831–1834.
CIKMCIKM-2018-GuanJWC #graph
Shared Embedding Based Neural Networks for Knowledge Graph Completion (SG, XJ, YW, XC), pp. 247–256.
CIKMCIKM-2018-GuoCZGL #detection #social
Rumor Detection with Hierarchical Social Attention Network (HG, JC, YZ, JG, JL), pp. 943–951.
CIKMCIKM-2018-HidasiK #recommendation
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations (BH, AK), pp. 843–852.
CIKMCIKM-2018-HosseiniCWSS #named
HeteroMed: Heterogeneous Information Network for Medical Diagnosis (AH, TC0, WW, YS, MS), pp. 763–772.
CIKMCIKM-2018-HuangZZC #named #predict
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction (CH0, JZ, YZ, NVC), pp. 1423–1432.
CIKMCIKM-2018-HuSZY #recommendation
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network (BH, CS, WXZ, TY), pp. 1683–1686.
CIKMCIKM-2018-HuZY #collaboration #named #recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation (GH, YZ, QY), pp. 667–676.
CIKMCIKM-2018-JiangW #named #query
RIN: Reformulation Inference Network for Context-Aware Query Suggestion (JYJ, WW0), pp. 197–206.
CIKMCIKM-2018-KangFYXCT #multi #named #ranking
X-Rank: Explainable Ranking in Complex Multi-Layered Networks (JK, SF, HY, YX, NC, HT), pp. 1959–1962.
CIKMCIKM-2018-KhattarKV018a #3d #recommendation #word
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation (DK, VK, VV, MG0), pp. 1855–1858.
CIKMCIKM-2018-LiGC #named
VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems (YL, TG, CXC), pp. 577–586.
CIKMCIKM-2018-Liu0SZ #predict
Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News (QL, XC0, SS, SZ), pp. 1603–1606.
CIKMCIKM-2018-LiuCYZLS #detection #graph
Heterogeneous Graph Neural Networks for Malicious Account Detection (ZL, CC, XY, JZ, XL, LS), pp. 2077–2085.
CIKMCIKM-2018-LvZCXYL #predict
Homepage Augmentation by Predicting Links in Heterogenous Networks (JL, JZ, WC, QX, ZY, QL0), pp. 1611–1614.
CIKMCIKM-2018-MeiRCNMN #interactive #recommendation
An Attentive Interaction Network for Context-aware Recommendations (LM, PR, ZC, LN, JM0, JYN), pp. 157–166.
CIKMCIKM-2018-PalC
Label Propagation with Neural Networks (AP, DC), pp. 1671–1674.
CIKMCIKM-2018-SarkarB0 #on the
On Rich Clubs of Path-Based Centralities in Networks (SS, SB, AM0), pp. 567–576.
CIKMCIKM-2018-ShuaiLYLLY #behaviour #social
Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions (HHS, YCL, DNY, YFL, WCL, PSY), pp. 597–606.
CIKMCIKM-2018-SunJSPOW #multi #pointer #summary
Multi-Source Pointer Network for Product Title Summarization (FS, PJ, HS, CP, WO, XW), pp. 7–16.
CIKMCIKM-2018-Tang #probability #social
Stochastic Coupon Probing in Social Networks (ST), pp. 1023–1031.
CIKMCIKM-2018-Yu0LYL #adaptation #identification #recommendation #social
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation (JY, MG0, JL, HY, HL0), pp. 357–366.
CIKMCIKM-2018-ZhangLNLX #graph #multi
Multiresolution Graph Attention Networks for Relevance Matching (TZ, BL, DN, KL, YX), pp. 933–942.
CIKMCIKM-2018-ZhangLS
Improve Network Embeddings with Regularization (YZ0, JL, OS), pp. 1643–1646.
CIKMCIKM-2018-ZhouYWBEYZW #named #personalisation #ranking
PRRE: Personalized Relation Ranking Embedding for Attributed Networks (SZ, HY, XW0, JB, ME, PY, JZ, CW0), pp. 823–832.
ECIRECIR-2018-DeyKGS #community #lifecycle #semantics #social #topic
Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities (KD, SK, KG, RS), pp. 29–42.
ECIRECIR-2018-GalkoE #retrieval
Biomedical Question Answering via Weighted Neural Network Passage Retrieval (FG, CE), pp. 523–528.
ECIRECIR-2018-RepkeK #email
Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks (TR, RK), pp. 114–126.
ICMLICML-2018-AroraCH #on the #optimisation
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization (SA, NC, EH), pp. 244–253.
ICMLICML-2018-Baity-JesiSGSAC
Comparing Dynamics: Deep Neural Networks versus Glassy Systems (MBJ, LS, MG, SS, GBA, CC, YL, MW, GB), pp. 324–333.
ICMLICML-2018-BalestrieroB
A Spline Theory of Deep Networks (RB, RGB), pp. 383–392.
ICMLICML-2018-BangS #generative #using
Improved Training of Generative Adversarial Networks using Representative Features (DB, HS), pp. 442–451.
ICMLICML-2018-BinkowskiMD
Autoregressive Convolutional Neural Networks for Asynchronous Time Series (MB, GM, PD), pp. 579–588.
ICMLICML-2018-BojanowskiJLS #generative #optimisation
Optimizing the Latent Space of Generative Networks (PB, AJ, DLP, AS), pp. 599–608.
ICMLICML-2018-CaiYZHY #architecture #performance
Path-Level Network Transformation for Efficient Architecture Search (HC, JY, WZ0, SH, YY0), pp. 677–686.
ICMLICML-2018-ChenBLR #adaptation #multi #named #normalisation
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks (ZC0, VB, CYL, AR), pp. 793–802.
ICMLICML-2018-ChenPS
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks (MC, JP, SSS), pp. 872–881.
ICMLICML-2018-ChenZS #graph #probability #reduction
Stochastic Training of Graph Convolutional Networks with Variance Reduction (JC, JZ0, LS), pp. 941–949.
ICMLICML-2018-DabneyOSM #learning
Implicit Quantile Networks for Distributional Reinforcement Learning (WD, GO, DS, RM), pp. 1104–1113.
ICMLICML-2018-DaiZGW #using
Compressing Neural Networks using the Variational Information Bottleneck (BD, CZ, BG, DPW), pp. 1143–1152.
ICMLICML-2018-DezfouliBN
Variational Network Inference: Strong and Stable with Concrete Support (AD, EVB, RN), pp. 1212–1221.
ICMLICML-2018-DiengRAB #named
Noisin: Unbiased Regularization for Recurrent Neural Networks (ABD, RR, JA, DMB), pp. 1251–1260.
ICMLICML-2018-DraxlerVSH #energy
Essentially No Barriers in Neural Network Energy Landscape (FD, KV, MS, FAH), pp. 1308–1317.
ICMLICML-2018-DuL #on the #polynomial #power of
On the Power of Over-parametrization in Neural Networks with Quadratic Activation (SSD, JDL), pp. 1328–1337.
ICMLICML-2018-FengWCS #learning #multi #parametricity #using
Nonparametric variable importance using an augmented neural network with multi-task learning (JF, BDW, MC, NS), pp. 1495–1504.
ICMLICML-2018-FurlanelloLTIA
Born-Again Neural Networks (TF, ZCL, MT, LI, AA), pp. 1602–1611.
ICMLICML-2018-GaoCL #named #optimisation
Spotlight: Optimizing Device Placement for Training Deep Neural Networks (YG, LC0, BL), pp. 1662–1670.
ICMLICML-2018-GaoW #learning #parallel
Parallel Bayesian Network Structure Learning (TG, DW), pp. 1671–1680.
ICMLICML-2018-GhoshYD #learning
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors (SG, JY, FDV), pp. 1739–1748.
ICMLICML-2018-GilraG #learning
Non-Linear Motor Control by Local Learning in Spiking Neural Networks (AG, WG), pp. 1768–1777.
ICMLICML-2018-HefnyM0SG #policy #predict
Recurrent Predictive State Policy Networks (AH, ZM, WS0, SSS, GJG), pp. 1954–1963.
ICMLICML-2018-HelfrichWY #orthogonal
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform (KH, DW, QY0), pp. 1974–1983.
ICMLICML-2018-HongRL #algorithm #distributed #higher-order #optimisation
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks (MH, MR, JDL), pp. 2014–2023.
ICMLICML-2018-JiaLQA
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks (ZJ, SL, CRQ, AA), pp. 2279–2288.
ICMLICML-2018-JiangZLLF #data-driven #education #learning #named
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels (LJ0, ZZ, TL, LJL, LFF0), pp. 2309–2318.
ICMLICML-2018-JinKL #testing
Network Global Testing by Counting Graphlets (JJ, ZTK, SL), pp. 2338–2346.
ICMLICML-2018-JinYXYJFY #named #performance
WSNet: Compact and Efficient Networks Through Weight Sampling (XJ, YY, NX0, JY, NJ, JF, SY), pp. 2357–2366.
ICMLICML-2018-KhrulkovO #generative #geometry
Geometry Score: A Method For Comparing Generative Adversarial Networks (VK, IVO), pp. 2626–2634.
ICMLICML-2018-KondorT #on the
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups (RK, ST), pp. 2752–2760.
ICMLICML-2018-KumarSJ #kernel #metric
Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings (AK, SS, UJ), pp. 2810–2819.
ICMLICML-2018-LakeB #composition
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks (BML, MB), pp. 2879–2888.
ICMLICML-2018-LaurentB #linear
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global (TL0, JvB), pp. 2908–2913.
ICMLICML-2018-LaurentB18a #multi
The Multilinear Structure of ReLU Networks (TL0, JvB), pp. 2914–2922.
ICMLICML-2018-LeePCXS
Gated Path Planning Networks (LL, EP, DSC, EPX, RS), pp. 2953–2961.
ICMLICML-2018-LiangSLS #classification #comprehension
Understanding the Loss Surface of Neural Networks for Binary Classification (SL, RS, YL, RS), pp. 2840–2849.
ICMLICML-2018-LiGD #bias #induction #learning
Explicit Inductive Bias for Transfer Learning with Convolutional Networks (XL0, YG, FD), pp. 2830–2839.
ICMLICML-2018-LiH #approach #learning
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks (QL, SH), pp. 2991–3000.
ICMLICML-2018-LuZLD #architecture #difference #equation #finite
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations (YL, AZ, QL, BD0), pp. 3282–3291.
ICMLICML-2018-MartinLV #approximate #clustering #performance
Fast Approximate Spectral Clustering for Dynamic Networks (LM, AL, PV), pp. 3420–3429.
ICMLICML-2018-MehrabiTY #approximate #bound #power of
Bounds on the Approximation Power of Feedforward Neural Networks (MM, AT, MIY), pp. 3450–3458.
ICMLICML-2018-MetzlerSVB #flexibility #named #retrieval #robust
prDeep: Robust Phase Retrieval with a Flexible Deep Network (CAM, PS, AV, RGB), pp. 3498–3507.
ICMLICML-2018-MiconiSC
Differentiable plasticity: training plastic neural networks with backpropagation (TM, KOS, JC), pp. 3556–3565.
ICMLICML-2018-MirmanGV #abstract interpretation #robust
Differentiable Abstract Interpretation for Provably Robust Neural Networks (MM, TG, MTV), pp. 3575–3583.
ICMLICML-2018-NguyenM0
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions (QN0, MCM, MH0), pp. 3737–3746.
ICMLICML-2018-NitandaS #functional
Functional Gradient Boosting based on Residual Network Perception (AN, TS), pp. 3816–3825.
ICMLICML-2018-OkunoHS #framework #learning #multi #probability
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks (AO, TH, HS), pp. 3885–3894.
ICMLICML-2018-OlivaDZPSXS
Transformation Autoregressive Networks (JBO, AD, MZ, BP, RS, EPX, JS), pp. 3895–3904.
ICMLICML-2018-OstrovskiDM #generative #modelling
Autoregressive Quantile Networks for Generative Modeling (GO, WD, RM), pp. 3933–3942.
ICMLICML-2018-Oymak #learning
Learning Compact Neural Networks with Regularization (SO), pp. 3963–3972.
ICMLICML-2018-PangDZ #analysis #linear
Max-Mahalanobis Linear Discriminant Analysis Networks (TP, CD, JZ0), pp. 4013–4022.
ICMLICML-2018-QiaoZ0WY #image #recognition #scalability
Gradually Updated Neural Networks for Large-Scale Image Recognition (SQ, ZZ, WS0, BW0, ALY), pp. 4185–4194.
ICMLICML-2018-QiuCCS #named
DCFNet: Deep Neural Network with Decomposed Convolutional Filters (QQ, XC, ARC, GS), pp. 4195–4204.
ICMLICML-2018-ReagenGAMRWB #encoding #named
Weightless: Lossy weight encoding for deep neural network compression (BR, UG, BA, MM, AMR, GYW, DB0), pp. 4321–4330.
ICMLICML-2018-SafranS
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks (IS, OS), pp. 4430–4438.
ICMLICML-2018-SajjadiPMS
Tempered Adversarial Networks (MSMS, GP, AM, BS), pp. 4448–4456.
ICMLICML-2018-Sanchez-Gonzalez #graph #physics
Graph Networks as Learnable Physics Engines for Inference and Control (ASG, NH, JTS, JM, MAR, RH, PWB), pp. 4467–4476.
ICMLICML-2018-SantoroHBML #reasoning
Measuring abstract reasoning in neural networks (AS, FH, DGTB, ASM, TPL), pp. 4477–4486.
ICMLICML-2018-SerraTR #bound #linear
Bounding and Counting Linear Regions of Deep Neural Networks (TS, CT, SR), pp. 4565–4573.
ICMLICML-2018-SewardUBJH #first-order #generative
First Order Generative Adversarial Networks (CS, TU, UB, NJ, SH), pp. 4574–4583.
ICMLICML-2018-SrinivasJALF #learning
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control (AS, AJ, PA, SL, CF), pp. 4739–4748.
ICMLICML-2018-SunYDB #matrix
Convolutional Imputation of Matrix Networks (QS, MY, DLD, SPB), pp. 4825–4834.
ICMLICML-2018-TaoCHFC #generative
Chi-square Generative Adversarial Network (CT, LC, RH, JF, LC), pp. 4894–4903.
ICMLICML-2018-TeyeAS #estimation #nondeterminism #normalisation
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks (MT, HA, KS0), pp. 4914–4923.
ICMLICML-2018-WangVLGGZ
Adversarial Distillation of Bayesian Neural Network Posteriors (KCW, PV, JL, LG, RBG, RSZ), pp. 5177–5186.
ICMLICML-2018-WehrmannCB #classification #multi
Hierarchical Multi-Label Classification Networks (JW, RC, RCB), pp. 5225–5234.
ICMLICML-2018-WeinshallCA #education #learning
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks (DW, GC, DA), pp. 5235–5243.
ICMLICML-2018-WeissGY #automaton #query #using
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples (GW, YG, EY), pp. 5244–5253.
ICMLICML-2018-WengZCSHDBD #performance #robust #towards
Towards Fast Computation of Certified Robustness for ReLU Networks (TWW, HZ0, HC, ZS, CJH, LD, DSB, ISD), pp. 5273–5282.
ICMLICML-2018-WenHSZCL #predict #recognition
Deep Predictive Coding Network for Object Recognition (HW, KH, JS, YZ, EC, ZL), pp. 5263–5272.
ICMLICML-2018-XiaoBSSP #how
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks (LX, YB, JSD, SSS, JP), pp. 5389–5398.
ICMLICML-2018-XuLTSKJ #graph #learning #representation
Representation Learning on Graphs with Jumping Knowledge Networks (KX, CL, YT, TS, KiK, SJ), pp. 5449–5458.
ICMLICML-2018-YangK #modelling #process #relational
Dependent Relational Gamma Process Models for Longitudinal Networks (SY, HK), pp. 5547–5556.
ICMLICML-2018-YeS #approach
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach (MY, YS), pp. 5616–5625.
ICMLICML-2018-YoonJS18a #dataset #generative #modelling #multi #named #predict #using
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks (JY, JJ, MvdS), pp. 5685–5693.
ICMLICML-2018-ZhangLD #performance
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization (JZ, QL, ISD), pp. 5801–5809.
ICMLICML-2018-ZhangNL #geometry
Tropical Geometry of Deep Neural Networks (LZ, GN, LHL), pp. 5819–5827.
ICPRICPR-2018-0001D #recognition
Deep Emotion Transfer Network for Cross-database Facial Expression Recognition (SL0, WD), pp. 3092–3099.
ICPRICPR-2018-0005GHL #feature model #image #segmentation
Feature Extraction and Grain Segmentation of Sandstone Images Based on Convolutional Neural Networks (FJ0, QG, HH, NL), pp. 2636–2641.
ICPRICPR-2018-Aldana-LopezCZG #approach #learning
Dynamic Learning Rate for Neural Networks: A Fixed-Time Stability Approach (RAL, LECM, JZ, DGG, AC), pp. 1378–1383.
ICPRICPR-2018-BallottaBVC #detection #image
Fully Convolutional Network for Head Detection with Depth Images (DB, GB, RV, RC), pp. 752–757.
ICPRICPR-2018-BandyopadhyayNM #axiom #social
A Generic Axiomatic Characterization for Measuring Influence in Social Networks (SB, RN, MNM), pp. 2606–2611.
ICPRICPR-2018-BhuniaBBKB0P #using
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network (AKB, AB, AKB, AK, PB, PPR0, UP0), pp. 3639–3644.
ICPRICPR-2018-BhuniaBBKB0P18a #generative #image #using #word
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks (AKB, AKB, PB, AK, AB, PPR0, UP0), pp. 3645–3650.
ICPRICPR-2018-BiciciKA
Conditional Information Gain Networks (UCB, CK, LA), pp. 1390–1395.
ICPRICPR-2018-CaiLWY #estimation #multi
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment (ZC, QL, SW, BY), pp. 495–500.
ICPRICPR-2018-CaoFM #multi #recognition
An End-to-End Neural Network for Multi-line License Plate Recognition (YC, HF, HM), pp. 3698–3703.
ICPRICPR-2018-CaoLZSLS #detection #named #performance
ThinNet: An Efficient Convolutional Neural Network for Object Detection (SC, YL, CZ, QSS, PL, SS), pp. 836–841.
ICPRICPR-2018-ChangWZ #linear #performance #self
Piecewise Linear Units for Fast Self-Normalizing Neural Networks (YC, XW, SZ), pp. 429–434.
ICPRICPR-2018-ChengLYT #image #named #recursion
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks (XC, XL0, JY0, YT), pp. 147–152.
ICPRICPR-2018-ChenYY #classification #image
Semi-supervised convolutional neural networks with label propagation for image classification (LC, SY, MY0), pp. 1319–1324.
ICPRICPR-2018-CheQ #estimation #segmentation
Dynamic Projected Segmentation Networks For Hand Pose Estimation (YC, YQ), pp. 477–482.
ICPRICPR-2018-ChoiCT #authentication #mobile #probability #random
One-class Random Maxout Probabilistic Network for Mobile Touchstroke Authentication (SC, IC, ABJT), pp. 3359–3364.
ICPRICPR-2018-ChooSJC #classification #multi
Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification (SKC, WS, DjJ, NIC), pp. 103–108.
ICPRICPR-2018-CombinidoMA #approach #image #using
A Convolutional Neural Network Approach for Estimating Tropical Cyclone Intensity Using Satellite-based Infrared Images (JSC, JRM, JA), pp. 1474–1480.
ICPRICPR-2018-CuiB00JH #graph #hybrid #kernel #learning
A Deep Hybrid Graph Kernel Through Deep Learning Networks (LC, LB0, LR0, YW0, YJ0, ERH), pp. 1030–1035.
ICPRICPR-2018-CuiLZLXGJZ #classification
Classification Guided Deep Convolutional Network for Compressed Sensing (WC, SL, SZ, YL0, HX, XG, FJ0, DZ), pp. 2905–2910.
ICPRICPR-2018-CuiZZH #learning #multi #recognition #using
Multi-source Learning for Skeleton -based Action Recognition Using Deep LSTM Networks (RC, AZ, SZ, GH0), pp. 547–552.
ICPRICPR-2018-DaiHGX0GQ #detection #multi #segmentation
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection (YD, ZH, YG, YX, KC0, JG, WQ), pp. 3604–3609.
ICPRICPR-2018-DasRBP #classification #documentation #image #learning
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks (AD, SR, UB, SKP), pp. 3180–3185.
ICPRICPR-2018-DehzangiT #detection #representation #using
Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks (OD, MT), pp. 1481–1486.
ICPRICPR-2018-DingLXKS #generative #recognition #robust #speech #towards
Mutual-optimization Towards Generative Adversarial Networks For Robust Speech Recognition (KD, NL, YX, DK, KS), pp. 2699–2704.
ICPRICPR-2018-DongZL #recognition
Dynamic Facial Expression Recognition Based on Convolutional Neural Networks with Dense Connections (JD, HZ, LL), pp. 3433–3438.
ICPRICPR-2018-Dou0 #2d #3d #predict
2D and 3D Convolutional Neural Network Fusion for Predicting the Histological Grade of Hepatocellular Carcinoma (TD, WZ0), pp. 3832–3837.
ICPRICPR-2018-Du0CHW #adaptation #visual notation
Object-Adaptive LSTM Network for Visual Tracking (YD, YY0, SC, YH, HW), pp. 1719–1724.
ICPRICPR-2018-DuSZ #contest #identification #multi
Which Part is Better: Multi-Part Competition Network for person Re-Identification (PD, YS, YZ0), pp. 1634–1639.
ICPRICPR-2018-EleziTVP #learning
Transductive Label Augmentation for Improved Deep Network Learning (IE, AT, SV, MP), pp. 1432–1437.
ICPRICPR-2018-ElmogyZEE #3d #automation #classification #framework
An Automated Classification Framework for Pressure Ulcer Tissues Based on 3D Convolutional Neural Network (ME, BGZ, ASE, AEB), pp. 2356–2361.
ICPRICPR-2018-Fan
Deep Epitome for Unravelling Generalized Hamming Network (LF), pp. 409–416.
ICPRICPR-2018-FangYZZ
Diversified Dual Domain-Adversarial Neural Networks (YF, QY, WZ, ZZ), pp. 615–620.
ICPRICPR-2018-GaoCZLL #3d
Background Subtraction via 3D Convolutional Neural Networks (YG, HC, XZ0, LL, ZL), pp. 1271–1276.
ICPRICPR-2018-GarrettR #3d #performance #using
Fast Descriptor Extraction for Contextless 3D Registration Using a Fully Convolutional Network (TG, RR), pp. 1211–1216.
ICPRICPR-2018-GasparettoRBPCB
Cross-Dataset Data Augmentation for Convolutional Neural Networks Training (AG, DR, FB, MP, LC, MB, EU, AA), pp. 910–915.
ICPRICPR-2018-GrelssonF #exponential #learning #linear
Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs) (BG, MF), pp. 517–522.
ICPRICPR-2018-HanXW #generative #learning #multi #representation
Learning Multi-view Generator Network for Shared Representation (TH0, XX, YNW), pp. 2062–2068.
ICPRICPR-2018-HanXZL #composition #image #learning
Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss (GH, XX, WSZ, JL), pp. 91–96.
ICPRICPR-2018-HanZG #classification #composition #multi
Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification (YH, SZ, ZG), pp. 284–289.
ICPRICPR-2018-HeGG #learning
Structure Learning of Bayesian Networks by Finding the Optimal Ordering (CCH, XGG, ZgG), pp. 177–182.
ICPRICPR-2018-HouCLWX #predict
Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations (JH, JC, SL, JW, QX), pp. 1487–1492.
ICPRICPR-2018-HuiWG #image
Two-Stage Convolutional Network for Image Super-Resolution (ZH, XW, XG), pp. 2670–2675.
ICPRICPR-2018-JeongJLCY0 #estimation
Selective Ensemble Network for Accurate Crowd Density Estimation (JJ, HJ, JL, JC, SY, JYC0), pp. 320–325.
ICPRICPR-2018-JiangWYSLGFZ #recursion
Recursive Inception Network for Super-Resolution (TJ, XW, ZY, WS, GL, SG, HF, QZ), pp. 2759–2764.
ICPRICPR-2018-JiQYKZ #automation #image #segmentation #using
Automatic Prostate Segmentation on MR Images Using Enhanced Holistically-Nested Networks (DJ, JQ, JY, TK, SZ), pp. 3820–3825.
ICPRICPR-2018-JiuSQ #image
Deep Context Networks for Image Annotation (MJ, HS, LQ), pp. 2422–2427.
ICPRICPR-2018-JollyIKU #design #how #question
How do Convolutional Neural Networks Learn Design? (SJ, BKI, RK, SU), pp. 1085–1090.
ICPRICPR-2018-JyotiD #automation #estimation #geometry #using
Automatic Eye Gaze Estimation using Geometric & Texture-based Networks (SJ, AD), pp. 2474–2479.
ICPRICPR-2018-KasemHJ #image #towards
Revised Spatial Transformer Network towards Improved Image Super-resolutions (HMK, KWH, JJ), pp. 2688–2692.
ICPRICPR-2018-KhalidY #multi #recognition
Multi-Modal Three-Stream Network for Action Recognition (MUK, JY), pp. 3210–3215.
ICPRICPR-2018-KonwerBBBB0P #generative #using
Staff line Removal using Generative Adversarial Networks (AK, AKB, AB, AKB, PB, PPR0, UP0), pp. 1103–1108.
ICPRICPR-2018-KungMZ #adaptation #array
Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks (HTK, BM, SQZ), pp. 1006–1011.
ICPRICPR-2018-LengK
Confidence-Driven Network for Point-to-Set Matching (ML, IAK), pp. 3414–3420.
ICPRICPR-2018-LiaoZWN #detection #named #recognition
Uniface: A Unified Network for Face Detection and Recognition (ZL, PZ, QW, BN), pp. 3531–3536.
ICPRICPR-2018-LiciottiPPFZ #segmentation #semantics #using
Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment (DL, MP, RP, EF, PZ), pp. 1384–1389.
ICPRICPR-2018-LiCQWW #adaptation #learning #semantics
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks (RL, WmC0, SQ, HSW, SW), pp. 37–42.
ICPRICPR-2018-LiCZC #detection
Mammographic mass detection based on convolution neural network (YL, HC, LZ, LC), pp. 3850–3855.
ICPRICPR-2018-LiHLHS #consistency #generative
Global and Local Consistent Age Generative Adversarial Networks (PL, YH, QL0, RH, ZS), pp. 1073–1078.
ICPRICPR-2018-LiHY0CHWL #segmentation
Skin Lesion Segmentation via Dense Connected Deconvolutional Network (HL, XH, ZY, FZ0, JZC, LH, TW, BL), pp. 671–675.
ICPRICPR-2018-LingLZG #classification #image #learning
Semi-Supervised Learning via Convolutional Neural Network for Hyperspectral Image Classification (ZL, XL, WZ, SG), pp. 1–6.
ICPRICPR-2018-LingLZL #estimation #image #performance
Joint Haze-relevant Features Selection and Transmission Estimation via Deep Belief Network for Efficient Single Image Dehazing (ZL, XL, WZ, ML), pp. 133–139.
ICPRICPR-2018-LiuDJQ #classification #image #visual notation
Visual Tree Convolutional Neural Network in Image Classification (YL, YD, RJ, PQ), pp. 758–763.
ICPRICPR-2018-LiuGCL #generative
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation (YL0, YG, WC, MSL), pp. 219–224.
ICPRICPR-2018-LiuHH #classification
Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification (XL, BH, CH), pp. 688–693.
ICPRICPR-2018-LiuMHWLB
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting (XL, MM, LH, JvdW, AML0, ADB), pp. 2262–2268.
ICPRICPR-2018-LiuMXP #image #semantics #synthesis
Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks (XL, GM, SX, CP), pp. 988–993.
ICPRICPR-2018-LiuRYXCY #graph #image
Fully convolutional network and graph-based method for co-segmentation of retinal layer on macular OCT images (YL, GR, GY, XX, XC, YY), pp. 3081–3085.
ICPRICPR-2018-LiW #estimation #image
Local Regression Based Hourglass Network for Hand Pose Estimation from a Single Depth Image (JL, ZW), pp. 1767–1772.
ICPRICPR-2018-LiZXGX18a #recognition #speech
Recurrent Neural Network Based Small-footprint Wake-up-word Speech Recognition System with a Score Calibration Method (CL, LZ, SX, PG, BX0), pp. 3222–3227.
ICPRICPR-2018-LocBO #documentation #image #security #using
Document Images Watermarking for Security Issue using Fully Convolutional Networks (CVL, JCB, JMO), pp. 1091–1096.
ICPRICPR-2018-LuoKW #generative #image #synthesis
Traffic Sign Image Synthesis with Generative Adversarial Networks (HL, QK, FW), pp. 2540–2545.
ICPRICPR-2018-LuoY #architecture #performance #segmentation
Fast Skin Lesion Segmentation via Fully Convolutional Network with Residual Architecture and CRF (WL, MY), pp. 1438–1443.
ICPRICPR-2018-MaGLLZ #3d #multi #named #segmentation #semantics
3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation (YM, YG, YL, ML, JZ), pp. 1560–1566.
ICPRICPR-2018-MaH #generative #using
Perceptual Face Completion using a Local-Global Generative Adversarial Network (RM, HH0), pp. 1670–1675.
ICPRICPR-2018-MaierSSWSCF #learning #precise #towards #using
Precision Learning: Towards Use of Known Operators in Neural Networks (AKM, FS, CS, TW, SS, JHC, RF), pp. 183–188.
ICPRICPR-2018-MaLHY #estimation #hybrid #using
Image-based Air Pollution Estimation Using Hybrid Convolutional Neural Network (JM, KL, YH, JY), pp. 471–476.
ICPRICPR-2018-ManessiRBNS #automation
Automated Pruning for Deep Neural Network Compression (FM, AR, SB, PN, RS), pp. 657–664.
ICPRICPR-2018-MaWWW #detection #multi #named #performance
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection (WM, YW, ZW, GW), pp. 2510–2515.
ICPRICPR-2018-MingCLVB #detection #interactive #liveness #named #verification
FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection (ZM, JC, MML, MV, JCB), pp. 3507–3512.
ICPRICPR-2018-MohantyDG18a #detection #robust
Robust Scene Text Detection with Deep Feature Pyramid Network and CNN based NMS Model (SM, TD, HPG), pp. 3741–3746.
ICPRICPR-2018-NabilIMSQS #detection #random
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters (MN, MI0, MMEAM, MS, KAQ, ES), pp. 740–745.
ICPRICPR-2018-OGormanW #video
Balancing Video Analytics Processing and Bandwidth for Edge-Cloud Networks (LO, XW), pp. 2618–2623.
ICPRICPR-2018-ParkAMLCP0PK #generative #named
MMGAN: Manifold-Matching Generative Adversarial Networks (NP, AA, JRAM, KL, JC, DKP, TC0, HP, YK), pp. 1343–1348.
ICPRICPR-2018-PassalisT #information management #similarity #using
Neural Network Knowledge Transfer using Unsupervised Similarity Matching (NP, AT), pp. 716–721.
ICPRICPR-2018-PereraAP #generative #multi #named #using
In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks (PP, MA, VMP), pp. 140–146.
ICPRICPR-2018-Pham0V #graph #memory management #predict #process
Graph Memory Networks for Molecular Activity Prediction (TP, TT0, SV), pp. 639–644.
ICPRICPR-2018-PiantadosiSS #segmentation
Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks (GP, MS, CS), pp. 3917–3922.
ICPRICPR-2018-PramerdorferKL #3d #bound #classification #multi
Multi-View Classification and 3D Bounding Box Regression Networks (CP, MK, MVL), pp. 734–739.
ICPRICPR-2018-QiuXC #flexibility #linear #named
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks (SQ, XX, BC), pp. 1223–1228.
ICPRICPR-2018-RhifWF #3d #recognition #sequence #using
Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features (MR, HW, IRF), pp. 3427–3432.
ICPRICPR-2018-RibaFLF #graph #learning #message passing
Learning Graph Distances with Message Passing Neural Networks (PR, AF0, JL0, AF), pp. 2239–2244.
ICPRICPR-2018-Robles-KellyW #image
A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images (ARK, RW), pp. 109–114.
ICPRICPR-2018-ShiLLLM #recognition
Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks (YS, YL, JL, XL, YLM), pp. 2438–2443.
ICPRICPR-2018-ShiWDYL #generative
Data Augmentation with Improved Generative Adversarial Networks (HS, LW, GD, FY, XL), pp. 73–78.
ICPRICPR-2018-ShiZWTYZ #lens #modelling
Radial Lens Distortion Correction by Adding a Weight Layer with Inverted Foveal Models to Convolutional Neural Networks (YS, DZ, JW, XT, XY, HZ), pp. 1–6.
ICPRICPR-2018-ShuiWYHGLZ #3d #multi #segmentation
3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features (PS, PW, FY, BH, YG, KL, YZ0), pp. 1056–1061.
ICPRICPR-2018-SinhaNGG #analysis #hybrid #navigation #performance
Hybrid Path Planner for Efficient Navigation in Urban Road Networks through Analysis of Trajectory Traces (SS, MKN, SG, SKG), pp. 3250–3255.
ICPRICPR-2018-SoleymaniDKDN #abstraction #identification #multimodal
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification (SS, AD, HK, JMD, NMN), pp. 3469–3476.
ICPRICPR-2018-SongZR #bound
UAV Target Tracking with A Boundary-Decision Network (KS, WZ0, XR), pp. 2576–2581.
ICPRICPR-2018-SunZY #automation #embedded #generative
Pyramid Embedded Generative Adversarial Network for Automated Font Generation (DS, QZ, JY), pp. 976–981.
ICPRICPR-2018-SwamiD #image #named
CANDY: Conditional Adversarial Networks based End-to-End System for Single Image Haze Removal (KS, SKD), pp. 3061–3067.
ICPRICPR-2018-TongT #image #recognition
Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition (ZT, GT), pp. 1289–1294.
ICPRICPR-2018-TsangDX #modelling
Recurrent Neural Networks for Financial Time-Series Modelling (GT, JD, XX), pp. 892–897.
ICPRICPR-2018-Wang #named
ReNN: Rule-embedded Neural Networks (HW), pp. 824–829.
ICPRICPR-2018-WangBZZ #generative
Generating Facial Line-drawing with Convolutional Neural Networks (YW, XB, LZ, SZ), pp. 513–516.
ICPRICPR-2018-WangCYX #self
Self-Attention Based Network for Punctuation Restoration (FW0, WC0, ZY0, BX0), pp. 2803–2808.
ICPRICPR-2018-WangGZXH #correlation #named #visual notation
SPCNet: Scale Position Correlation Network for End-to-End Visual Tracking (QW, JG, MZ, JX, WH), pp. 1803–1808.
ICPRICPR-2018-WangLLL #detection #multi
Anchor Free Network for Multi-Scale Face Detection (CW, ZL, SL, SL), pp. 1554–1559.
ICPRICPR-2018-WangXLTXX #detection #multi
Multi-scale Fusion with Context-aware Network for Object Detection (HW, JX, LL, YT, DX, SX), pp. 2486–2491.
ICPRICPR-2018-WangZGW #detection #image #multi #parametricity #using
Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation (YW, BZ, DG, JW), pp. 3814–3819.
ICPRICPR-2018-WangZL #detection #generative
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks (CW, YMZ, CLL), pp. 1121–1126.
ICPRICPR-2018-WuLXFPL #predict
Context-Aware Attention LSTM Network for Flood Prediction (YW, ZL, WX, JF, SP, TL), pp. 1301–1306.
ICPRICPR-2018-WuXFPL #predict
Local and Global Bayesian Network based Model for Flood Prediction (YW, WX, JF, SP, TL), pp. 225–230.
ICPRICPR-2018-WuZ #generative
Deep Generative Adversarial Networks for the Sparse Signal Denoising (KW, CZ), pp. 1127–1132.
ICPRICPR-2018-XiaoLLLK #algorithm
Single-image Dehazing Algorithm Based on Convolutional Neural Networks (JX, LL, EL, JL, RK), pp. 1259–1264.
ICPRICPR-2018-XiaoW #animation #speech
Dense Convolutional Recurrent Neural Network for Generalized Speech Animation (LX, ZW), pp. 633–638.
ICPRICPR-2018-XieHLHYL #classification
Deeply Supervised Residual Network for HEp-2 Cell Classification (HX, YH, HL, TH, ZY, BL), pp. 699–703.
ICPRICPR-2018-XuPYL #process #recognition
Human Activity Recognition Based On Convolutional Neural Network (WX, YP, YY, YL), pp. 165–170.
ICPRICPR-2018-XuTY #recognition
Beyond Two-stream: Skeleton-based Three-stream Networks for Action Recognition in Videos (JX, KT, HY), pp. 1567–1573.
ICPRICPR-2018-XuW
Target Group Distribution Pattern Discovery via Convolutional Neural Network (XX, WW), pp. 266–271.
ICPRICPR-2018-XuWJW #visual notation
Visual Tracking by Combining the Structure-Aware Network and Spatial-Temporal Regression (DX, LW, MJ, QW), pp. 1912–1917.
ICPRICPR-2018-XuWZWZR0CH
Depth-based Subgraph Convolutional Neural Networks (CX, DW, ZZ, BW, DZ, GR, LB0, LC, ERH), pp. 1024–1029.
ICPRICPR-2018-XuZZ #image #recognition #using
Screen-rendered text images recognition using a deep residual network based segmentation-free method (XX0, JZ, HZ), pp. 2741–2746.
ICPRICPR-2018-YamadaIYK #segmentation #using
Texture Segmentation using Siamese Network and Hierarchical Region Merging (RY, HI, NY, TK), pp. 2735–2740.
ICPRICPR-2018-Yang0K #generative #multi
Multi-scale Generative Adversarial Networks for Crowd Counting (JY, YZ0, SYK), pp. 3244–3249.
ICPRICPR-2018-YangLPKWSLDCTZ #3d #automation #image #segmentation
Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module (GY, GL, TP, YK, JW, HS, LL, JLD, JLC, LT, XZ), pp. 3790–3795.
ICPRICPR-2018-YangY
Enhanced Network Embedding with Text Information (SY, BY), pp. 326–331.
ICPRICPR-2018-YanJY #3d #detection #generative
3D Convolutional Generative Adversarial Networks for Detecting Temporal Irregularities in Videos (MY, XJ, JY), pp. 2522–2527.
ICPRICPR-2018-YanWSLZ #image #learning #using
Image Captioning using Adversarial Networks and Reinforcement Learning (SY, FW, JSS, WL, BZ), pp. 248–253.
ICPRICPR-2018-YuLH #comparison
Curvature-based Comparison of Two Neural Networks (TY, HL, JEH), pp. 441–447.
ICPRICPR-2018-ZhangCSZWHJL #assessment #named #performance #quality
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks (TZ, JC, DFS, KZ, AW, PH, AJ, BCL), pp. 2314–2319.
ICPRICPR-2018-ZhangCZ #architecture #recognition
Temporal Inception Architecture for Action Recognition with Convolutional Neural Networks (WZ, JC, HZ), pp. 3216–3221.
ICPRICPR-2018-ZhangDKQL #detection #multi
Global Contrast Enhancement Detection via Deep Multi-Path Network (CZ, DD, LK, HQ, SL), pp. 2815–2820.
ICPRICPR-2018-ZhangFQS #generative #image
Wasserstein Generative Recurrent Adversarial Networks for Image Generating (CZ, YF, BQ, JS), pp. 242–247.
ICPRICPR-2018-ZhangHLZ #detection
Attention-based Neural Network for Traffic Sign Detection (JZ, LH, JL, YZ), pp. 1839–1844.
ICPRICPR-2018-ZhangJCXP #approach #graph #kernel #learning
Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting (QZ, QJ, JC, SX, CP), pp. 1018–1023.
ICPRICPR-2018-ZhangLXQ #named
LHONE: Label Homophily Oriented Network Embedding (LZ, XL, JX, YQ), pp. 665–670.
ICPRICPR-2018-ZhangLZXSL #classification
Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification (GZ, YL, DZ, YX, YS, JL), pp. 3911–3916.
ICPRICPR-2018-ZhangSOS #identification #using
Person Re-identification Using Two-Stage Convolutional Neural Network (YZ, JS, DO, HTS), pp. 3341–3346.
ICPRICPR-2018-ZhangSW #linear #problem
Cascade Deep Networks for Sparse Linear Inverse Problems (HZ, HS, WW), pp. 812–817.
ICPRICPR-2018-ZhangWGWXL #detection #effectiveness #learning
An Effective Deep Learning Based Scheme for Network Intrusion Detection (HZ, CQW, SG, ZW, YX, YL), pp. 682–687.
ICPRICPR-2018-ZhangYLQZC #detection
Single Shot Feature Aggregation Network for Underwater Object Detection (LZ, XY0, ZL, LQ, HZ, CC), pp. 1906–1911.
ICPRICPR-2018-ZhangZDD #analysis #online #recognition
Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition (JZ, YZ, JD, LD), pp. 3681–3686.
ICPRICPR-2018-ZhangZDW #classification #image
Image Exploration Procedure Classification with Spike-timing Neural Network for the Blind (TZ, TZ, BSD, JPW), pp. 3256–3261.
ICPRICPR-2018-ZhangZW #classification #lightweight #named
LD-CNN: A Lightweight Dilated Convolutional Neural Network for Environmental Sound Classification (XZ, YZ, WW), pp. 373–378.
ICPRICPR-2018-ZhanLL #recognition #string #using
Handwritten Digit String Recognition using Convolutional Neural Network (HZ, SL, YL), pp. 3729–3734.
ICPRICPR-2018-ZhaoMS #classification #image #named
Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification (KZ, TM, ES), pp. 860–867.
ICPRICPR-2018-ZhaoYT #order #predict #using
Pen Tip Motion Prediction for Handwriting Drawing Order Recovery using Deep Neural Network (BZ, MY, JT), pp. 704–709.
ICPRICPR-2018-ZhengZ #approach #classification
Accelerating the Classification of Very Deep Convolutional Network by A Cascading Approach (WZ, ZZ), pp. 355–360.
ICPRICPR-2018-ZhongJ0JX #fine-grained #image #multi #recognition
A Multi-part Convolutional Attention Network for Fine-Grained Image Recognition (WZ, LJ, TZ0, JJ, HX), pp. 1857–1862.
ICPRICPR-2018-ZhongYZ
Merging Neurons for Structure Compression of Deep Networks (GZ0, HY, HZ0), pp. 1462–1467.
ICPRICPR-2018-ZhuZ #detection
A Comprehensive Study on Upper-Body Detection with Deep Neural Networks (YZ, LZ), pp. 171–176.
ICPRICPR-2018-ZhuZLLZC #identification
A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification (JZ, HZ, ZL, SL, LZ, CC), pp. 3285–3290.
KDDKDD-2018-0022PYT #algorithm #effectiveness #optimisation
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms (CC0, RP, LY, HT), pp. 1167–1176.
KDDKDD-2018-ChenGCSSJ #3d #image
Voxel Deconvolutional Networks for 3D Brain Image Labeling (YC, HG, LC, MS, DS, SJ), pp. 1226–1234.
KDDKDD-2018-ChenLB #social
Quantifying and Minimizing Risk of Conflict in Social Networks (XC, JL, TDB), pp. 1197–1205.
KDDKDD-2018-ChenYWWNL #metric #named #predict
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction (HC, HY, WW0, HW0, QVHN, XL), pp. 1177–1186.
KDDKDD-2018-ChuHHWP #consistency #linear
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution (LC, XH, JH, LW, JP), pp. 1244–1253.
KDDKDD-2018-ConteFGMSU #similarity
Node Similarity with q -Grams for Real-World Labeled Networks (AC, GF, RG, AM, KS, TU), pp. 1282–1291.
KDDKDD-2018-ConteMSGMV #community #detection #named #scalability
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes (AC, TDM, DDS, RG, AM, LV), pp. 1272–1281.
KDDKDD-2018-DizajiWH #generative
Semi-Supervised Generative Adversarial Network for Gene Expression Inference (KGD, XW, HH), pp. 1435–1444.
KDDKDD-2018-GaoH #self
Self-Paced Network Embedding (HG, HH), pp. 1406–1415.
KDDKDD-2018-GaoWJ #graph #scalability
Large-Scale Learnable Graph Convolutional Networks (HG, ZW, SJ), pp. 1416–1424.
KDDKDD-2018-GongW #analysis #behaviour #modelling #sentiment #social
When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data (LG, HW), pp. 1455–1464.
KDDKDD-2018-HarelR #prototype #using
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks (SH, KR), pp. 331–339.
KDDKDD-2018-LeeGZ #generative #query
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising (MCL, BG, RZ), pp. 500–508.
KDDKDD-2018-Lian0ZGCT0 #higher-order #proximity
High-order Proximity Preserving Information Network Hashing (DL, KZ0, VWZ, YG, LC, IWT, XX0), pp. 1744–1753.
KDDKDD-2018-LiuHLH #induction #on the #taxonomy
On Interpretation of Network Embedding via Taxonomy Induction (NL, XH, JL, XH), pp. 1812–1820.
KDDKDD-2018-LiuHWH #self
Content to Node: Self-Translation Network Embedding (JL0, ZH, LW, YH), pp. 1794–1802.
KDDKDD-2018-LiuKY #social
Active Opinion Maximization in Social Networks (XL, XK, PSY), pp. 1840–1849.
KDDKDD-2018-LiY #classification #learning #policy
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient (YL, JY), pp. 1715–1723.
KDDKDD-2018-LuoCTSLCY #information management #invariant #learning #named
TINET: Learning Invariant Networks via Knowledge Transfer (CL, ZC, LAT, AS, ZL, HC, JY), pp. 1890–1899.
KDDKDD-2018-MaCW0 #taxonomy
Hierarchical Taxonomy Aware Network Embedding (JM, PC0, XW0, WZ0), pp. 1920–1929.
KDDKDD-2018-MolinoZW #named #ranking
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks (PM, HZ, YCW), pp. 586–595.
KDDKDD-2018-RaoTL #comprehension #framework #learning #multi #platform #query
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform (JR, FT, JL), pp. 636–645.
KDDKDD-2018-Sanei-MehriST
Butterfly Counting in Bipartite Networks (SVSM, AES, ST), pp. 2150–2159.
KDDKDD-2018-ShashikumarSCN #bidirectional #detection #using
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks (SPS, AJS, GDC, SN), pp. 715–723.
KDDKDD-2018-ShenLOLZC #framework #named #novel #predict
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network (BS, XL, YO, ML, WZ, KMC), pp. 724–733.
KDDKDD-2018-ShiZGZ0 #learning
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks (YS, QZ, FG, CZ0, JH0), pp. 2190–2199.
KDDKDD-2018-SunBZWZ #modelling #multi
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases (MS, IMB, LZ, ZW, JZ), pp. 2259–2268.
KDDKDD-2018-TayLH #multi #recommendation
Multi-Pointer Co-Attention Networks for Recommendation (YT, ATL, SCH), pp. 2309–2318.
KDDKDD-2018-TayTH #multi
Multi-Cast Attention Networks (YT, LAT, SCH), pp. 2299–2308.
KDDKDD-2018-TomasiTSV
Latent Variable Time-varying Network Inference (FT, VT, SS, AV), pp. 2338–2346.
KDDKDD-2018-TuCWY0 #equivalence #recursion
Deep Recursive Network Embedding with Regular Equivalence (KT, PC0, XW0, PSY, WZ0), pp. 2357–2366.
KDDKDD-2018-WangMJYXJSG #detection #multi #named
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection (YW, FM, ZJ, YY0, GX, KJ, LS, JG0), pp. 849–857.
KDDKDD-2018-WangWLW #analysis #composition #multi
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis (JW, ZW, JL, JW), pp. 2437–2446.
KDDKDD-2018-WangWW
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention (JW, XW, JW), pp. 830–838.
KDDKDD-2018-WangYHLWH #memory management #recommendation #streaming
Neural Memory Streaming Recommender Networks with Adversarial Training (QW, HY, ZH, DL, HW, ZH), pp. 2467–2475.
KDDKDD-2018-WangZHZ #learning #recommendation
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation (LW, WZ0, XH, HZ), pp. 2447–2456.
KDDKDD-2018-WongPKFJ #biology #community #named #performance
SDREGION: Fast Spotting of Changing Communities in Biological Networks (SWHW, CP, MK, CF, IJ), pp. 867–875.
KDDKDD-2018-YangWZL0 #classification #multi
Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport (YY, YFW, DCZ, ZBL, YJ0), pp. 2594–2603.
KDDKDD-2018-YasarC
An Iterative Global Structure-Assisted Labeled Network Aligner (AY, ÜVÇ), pp. 2614–2623.
KDDKDD-2018-YingHCEHL #graph #recommendation
Graph Convolutional Neural Networks for Web-Scale Recommender Systems (RY, RH, KC, PE, WLH, JL), pp. 974–983.
KDDKDD-2018-YiZWLZ #distributed #predict #quality
Deep Distributed Fusion Network for Air Quality Prediction (XY, JZ, ZW, TL, YZ0), pp. 965–973.
KDDKDD-2018-YuCAZCW #approach #detection #flexibility #named
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks (WY, WC, CCA, KZ0, HC, WW0), pp. 2672–2681.
KDDKDD-2018-YuZCASZCW #learning
Learning Deep Network Representations with Adversarially Regularized Autoencoders (WY, CZ, WC, CCA, DS, BZ, HC, WW0), pp. 2663–2671.
KDDKDD-2018-ZhangCWPY0 #proximity
Arbitrary-Order Proximity Preserved Network Embedding (ZZ, PC0, XW0, JP, XY, WZ0), pp. 2778–2786.
KDDKDD-2018-ZhouHYF #named #representation #self
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization (DZ, JH, HY, WF), pp. 2807–2816.
KDDKDD-2018-ZhouZSFZMYJLG #predict
Deep Interest Network for Click-Through Rate Prediction (GZ, XZ, CS, YF, HZ, XM, YY, JJ, HL, KG), pp. 1059–1068.
KDDKDD-2018-ZhuCW0
Deep Variational Network Embedding in Wasserstein Space (DZ, PC0, DW, WZ0), pp. 2827–2836.
KDDKDD-2018-ZugnerAG #graph
Adversarial Attacks on Neural Networks for Graph Data (DZ, AA, SG), pp. 2847–2856.
KDDKDD-2018-ZuoLLGHW
Embedding Temporal Network via Neighborhood Formation (YZ, GL, HL, JG, XH, JW), pp. 2857–2866.
ICMTICMT-2018-TomaszekLWS #model transformation
Virtual Network Embedding: Reducing the Search Space by Model Transformation Techniques (ST, EL, LW, AS), pp. 59–75.
OnwardOnward-2018-BasmanLC #design
The open authorial principle: supporting networks of authors in creating externalisable designs (AB, CHL, CBDC), pp. 29–43.
PLDIPLDI-2018-GehrMTVWV #named #probability
Bayonet: probabilistic inference for networks (TG, SM, PT, LV, PW, MTV), pp. 586–602.
PLDIPLDI-2018-LinWCLDW #architecture #manycore
Mapping spiking neural networks onto a manycore neuromorphic architecture (CKL, AW, GNC, THL, MD, HW), pp. 78–89.
SASSAS-2018-AlpernasMPSSSV #abstract interpretation
Abstract Interpretation of Stateful Networks (KA, RM, AP, MS, SS, SS, YV), pp. 86–106.
ASEASE-2018-QuLCJCHZ #2d #fault #named #predict #using
node2defect: using network embedding to improve software defect prediction (YQ, TL0, JC, YJ, DC, AH, QZ), pp. 844–849.
ASEASE-2018-SunWRHKK #testing
Concolic testing for deep neural networks (YS, MW, WR, XH0, MK, DK), pp. 109–119.
ESEC-FSEESEC-FSE-2018-Gusmanov #modelling #on the #reliability
On the adoption of neural networks in modeling software reliability (KG), pp. 962–964.
ESEC-FSEESEC-FSE-2018-LeB0 #mining #named #specification #using
DSM: a specification mining tool using recurrent neural network based language model (TDBL, LB, DL0), pp. 896–899.
ESEC-FSEESEC-FSE-2018-MaLLZG #analysis #automation #debugging #difference #named
MODE: automated neural network model debugging via state differential analysis and input selection (SM, YL, WCL, XZ, AG), pp. 175–186.
ASPLOSASPLOS-2018-BestaHYAMH #energy #performance #scalability
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability (MB, SMH, SY, RA, OM, TH), pp. 43–55.
ASPLOSASPLOS-2018-CaiRLDWQPW #hardware #named
VIBNN: Hardware Acceleration of Bayesian Neural Networks (RC, AR, NL0, CD, LW, XQ, MP, YW), pp. 476–488.
ASPLOSASPLOS-2018-JiZC0 #compilation #hardware
Bridge the Gap between Neural Networks and Neuromorphic Hardware with a Neural Network Compiler (YJ0, YZ, WC, YX0), pp. 448–460.
ASPLOSASPLOS-2018-MarkuzeSMT #named
DAMN: Overhead-Free IOMMU Protection for Networking (AM, IS, AM0, DT), pp. 301–315.
CASECASE-2018-CaoWLG #fault #generative
Application of Generative Adversarial Networks for Intelligent Fault Diagnosis (SC, LW, XL, LG0), pp. 711–715.
CASECASE-2018-KebriaKNNH #adaptation #nondeterminism
Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay (PMK, AK, SN, ZN, SJH), pp. 252–257.
CASECASE-2018-OriveABM #architecture #industrial #monitoring #resource management
Passive Network State Monitoring for Dynamic Resource Management in Industry 4.0 Fog Architectures (AO, AA, JB, MM), pp. 1414–1419.
CASECASE-2018-PetittiPCMSCN #approach #distributed #mobile
A Distributed Map Building Approach for Mobile Robotic Networks (AP, DDP, RC, AM, ES, AC, DN), pp. 116–121.
CASECASE-2018-SpenrathP #heuristic #random #using
Using Neural Networks for Heuristic Grasp Planning in Random Bin Picking (FS, AP), pp. 258–263.
CASECASE-2018-YangGWD #cyber-physical #distributed #energy #multi
A Multi-layered Distributed Cloud Network for Cyber-Physical Energy System (LY, XG, JW, SD), pp. 402–407.
CASECASE-2018-ZhangSRF #distributed #navigation
An autonomous robotic system for intralogistics assisted by distributed smart camera network for navigation (XZ, MS, SR, JF), pp. 1224–1229.
ESOPESOP-2018-BatzKKM #how #program analysis
How long, O Bayesian network, will I sample thee? - A program analysis perspective on expected sampling times (KB, BLK, JPK, CM), pp. 186–213.
FASEFASE-2018-GioulekasPKBP #parallel #process #streaming
A Process Network Model for Reactive Streaming Software with Deterministic Task Parallelism (FG, PP, PK, SB, PP), pp. 94–110.
ICSTICST-2018-JiLCPZ0YL #behaviour #nondeterminism #search-based #testing
Uncovering Unknown System Behaviors in Uncertain Networks with Model and Search-Based Testing (RJ, ZL, SC, MP, TZ0, SA0, TY0, XL), pp. 204–214.
ICTSSICTSS-2018-PrasetyaT #specification
Neural Networks as Artificial Specifications (ISWBP, MAT), pp. 135–141.
JCDLJCDL-2017-SikdarMGM #case study #energy #interactive #physics
Influence of Reviewer Interaction Network on Long-Term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics (SS, MM, NG, AM0), pp. 179–188.
EDMEDM-2017-CaiEDPGS #analysis #chat #collaboration #learning #modelling #topic
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment (ZC, BRE, ND, JWP, ACG, DWS).
EDMEDM-2017-GuoCC #approach #student
A Neural Network Approach to Estimate Student Skill Mastery in Cognitive Diagnostic Assessments (QG, MC, YC).
EDMEDM-2017-KuangCHN #analysis #framework #platform #social #topic
A Topic Model and Social Network Analysis of a School Blogging Platform (XK, HSC, BH, GN).
EDMEDM-2017-MichalenkoLB #feedback #memory management #personalisation #using
Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks (JJM, ASL, RGB).
EDMEDM-2017-TatoND #automation #detection #reasoning
Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level (AANT, RN, AD).
EDMEDM-2017-YasudaNKKH #automation #using
Automatic Scoring Method for Descriptive Test Using Recurrent Neural Network (KY, IN, HK, HK, MH).
EDMEDM-2017-ZhangS #interactive #modelling #scalability
Modeling Network Dynamics of MOOC Discussion Interactions at Scale (JZ, MS).
EDMEDM-2017-ZhaoH #education
Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks (SZ, NTH).
ICPCICPC-2017-MostafaRW #android #behaviour #maintenance #named
NetDroid: summarizing network behavior of Android apps for network code maintenance (SM, RR, XW), pp. 165–175.
ICSMEICSME-2017-HanS #distance #evaluation #metric
Mean Average Distance to Resolver: An Evaluation Metric for Ticket Routing in Expert Network (JH, AS), pp. 594–602.
MSRMSR-2017-KikasGDP #dependence #evolution
Structure and evolution of package dependency networks (RK, GG, MD, DP), pp. 102–112.
IFM-2017-KovalovLGL #smt #using
Task-Node Mapping in an Arbitrary Computer Network Using SMT Solver (AK, EL, AG, DL), pp. 177–191.
SEFMSEFM-2017-WiikB #automation #data flow #specification #verification
Specification and Automated Verification of Dynamic Dataflow Networks (JW, PB), pp. 136–151.
HaskellHaskell-2017-DawsonGG #composition #monad
Composable network stacks and remote monads (JD, MG, AG), pp. 86–97.
CoGCIG-2017-AckerLB #automaton #simulation
Cellular automata simulation on FPGA for training neural networks with virtual world imagery (OVA, OL, GB), pp. 304–305.
CoGCIG-2017-HorsleyL #automation #generative
Building an automatic sprite generator with deep convolutional generative adversarial networks (LH, DPL), pp. 134–141.
CoGCIG-2017-NguyenRGM #automation #learning
Automated learning of hierarchical task networks for controlling minecraft agents (CN, NR, SG, HMA), pp. 226–231.
CoGCIG-2017-YoonK #game studies #visual notation
Deep Q networks for visual fighting game AI (SY, KJK), pp. 306–308.
FDGFDG-2017-TengB #approach #generative #semantics
A semantic approach to patch-based procedural generation of urban road networks (ET, RB), p. 10.
ICGJICGJ-2017-PirkerKG #analysis #game studies #social
Social network analysis of the global game jam network (JP, FK, CG), pp. 10–14.
CIKMCIKM-2017-ChavaryEL #mining #using
Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining (EAC, SME, CL), pp. 2015–2018.
CIKMCIKM-2017-ChengZZKZW #classification #sentiment
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network (JC, SZ, JZ, IK, XZ0, HW0), pp. 97–106.
CIKMCIKM-2017-ChenXLDTCP #framework #named
HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks (LC, XX, SL, SD, AGT, SC, BAP), pp. 1599–1607.
CIKMCIKM-2017-ChenYSGHY #scalability
Community-Based Network Alignment for Large Attributed Network (ZC0, XY, BS, JG, XH, WSY), pp. 587–596.
CIKMCIKM-2017-CuiLZZ #analysis
Text Coherence Analysis Based on Deep Neural Network (BC, YL, YZ, ZZ), pp. 2027–2030.
CIKMCIKM-2017-DingZLTCZ #named #personalisation #ranking #recommendation
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network (DD, MZ0, SYL, JT0, XC, ZHZ), pp. 1479–1488.
CIKMCIKM-2017-FangYMG #scheduling
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks (ZF, TY, OJM, RKG0), pp. 2067–2070.
CIKMCIKM-2017-FreitasTCX #agile #analysis
Rapid Analysis of Network Connectivity (SF, HT, NC, YX), pp. 2463–2466.
CIKMCIKM-2017-FuLL #learning #named #representation
HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning (TYF, WCL, ZL), pp. 1797–1806.
CIKMCIKM-2017-GalimbertiBG #composition #multi
Core Decomposition and Densest Subgraph in Multilayer Networks (EG, FB, FG), pp. 1807–1816.
CIKMCIKM-2017-GarciaM #energy #using
Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks (FCCG, EQBM), pp. 2075–2078.
CIKMCIKM-2017-Gupta0M #personalisation #ranking
Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking (MG, PK0, RM), pp. 2087–2090.
CIKMCIKM-2017-HoangL #clustering #mining #performance
Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks (TAH, EPL), pp. 869–878.
CIKMCIKM-2017-HuPJL #classification #graph
Graph Ladder Networks for Network Classification (RH, SP, JJ0, GL), pp. 2103–2106.
CIKMCIKM-2017-JinZ #modelling #social
Emotions in Social Networks: Distributions, Patterns, and Models (SJ, RZ), pp. 1907–1916.
CIKMCIKM-2017-KhuranaASVS #hybrid
Hybrid BiLSTM-Siamese network for FAQ Assistance (PK, PA, GMS, LV, AS0), pp. 537–545.
CIKMCIKM-2017-LiDHTCL #learning
Attributed Network Embedding for Learning in a Dynamic Environment (JL, HD, XH, JT, YC, HL0), pp. 387–396.
CIKMCIKM-2017-LyuZZ #quality #similarity
Enhancing the Network Embedding Quality with Structural Similarity (TL, YZ, YZ), pp. 147–156.
CIKMCIKM-2017-MalmiGT #approach
Active Network Alignment: A Matching-Based Approach (EM, AG, ET), pp. 1687–1696.
CIKMCIKM-2017-MumtazW #identification
Identifying Top-K Influential Nodes in Networks (SM, XW), pp. 2219–2222.
CIKMCIKM-2017-NicosiaM #hybrid
Accurate Sentence Matching with Hybrid Siamese Networks (MN, AM), pp. 2235–2238.
CIKMCIKM-2017-ParkLC #recommendation
Deep Neural Networks for News Recommendations (KP, JL, JC), pp. 2255–2258.
CIKMCIKM-2017-PeiYSZBT #recommendation
Interacting Attention-gated Recurrent Networks for Recommendation (WP, JY0, ZS, JZ0, AB, DMJT), pp. 1459–1468.
CIKMCIKM-2017-QuTSR00 #collaboration #framework #learning #multi #representation
An Attention-based Collaboration Framework for Multi-View Network Representation Learning (MQ, JT0, JS, XR, MZ0, JH0), pp. 1767–1776.
CIKMCIKM-2017-RaoTHJL
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks (JR, FT, HH, OJ, JL), pp. 557–566.
CIKMCIKM-2017-Saleem0CXP #named #social
IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks (MAS, RK0, TC, XX, TBP), pp. 2523–2526.
CIKMCIKM-2017-SaravanouKVKG
Revealing the Hidden Links in Content Networks: An Application to Event Discovery (AS, IK, GV, VK, DG), pp. 2283–2286.
CIKMCIKM-2017-SathanurCJP #graph #simulation
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes (AVS, SC, CAJ, SP), pp. 2287–2290.
CIKMCIKM-2017-TayTH #analysis #memory management #sentiment
Dyadic Memory Networks for Aspect-based Sentiment Analysis (YT, LAT, SCH), pp. 107–116.
CIKMCIKM-2017-TayTPH #graph #multi #predict
Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs (YT, LAT, MCP, SCH), pp. 1029–1038.
CIKMCIKM-2017-TengLW #detection #learning #multi #using
Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning (XT, YRL, XW), pp. 827–836.
CIKMCIKM-2017-ThonetCBP #modelling #social #topic
Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks (TT, GC, MB, KPS), pp. 87–96.
CIKMCIKM-2017-TianC #interactive #visualisation
Visualizing Deep Neural Networks with Interaction of Super-pixels (ST, YC), pp. 2327–2330.
CIKMCIKM-2017-WangATL
Attributed Signed Network Embedding (SW, CCA, JT, HL0), pp. 137–146.
CIKMCIKM-2017-WangDYT #comprehension #mobile #predict #social
Understanding and Predicting Weight Loss with Mobile Social Networking Data (ZW, TD, DY, JT), pp. 1269–1278.
CIKMCIKM-2017-WangSLSZ0
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks (CW, YS, HL, YS, MZ0, JH0), pp. 1629–1638.
CIKMCIKM-2017-WuUBG #detection
Conflict of Interest Declaration and Detection System in Heterogeneous Networks (SW, LHU, SSB, WG), pp. 2383–2386.
CIKMCIKM-2017-XiangJ #learning #multimodal
Common-Specific Multimodal Learning for Deep Belief Network (CX, XJ), pp. 2387–2390.
CIKMCIKM-2017-XuM #analysis #multimodal #named #semantics #sentiment
MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis (NX, WM), pp. 2399–2402.
CIKMCIKM-2017-XuWXQ #classification #graph #recursion
Attentive Graph-based Recursive Neural Network for Collective Vertex Classification (QX, QW, CX, LQ), pp. 2403–2406.
CIKMCIKM-2017-YangWLZL #graph
From Properties to Links: Deep Network Embedding on Incomplete Graphs (DY, SW, CL, XZ0, ZL), pp. 367–376.
CIKMCIKM-2017-YuanWLL #detection
Spectrum-based Deep Neural Networks for Fraud Detection (SY, XW, JL, AL), pp. 2419–2422.
CIKMCIKM-2017-ZhangH #ambiguity #graph #using
Name Disambiguation in Anonymized Graphs using Network Embedding (BZ, MAH), pp. 1239–1248.
ECIRECIR-2017-AletrasM #image #topic #using
Labeling Topics with Images Using a Neural Network (NA, AM), pp. 500–505.
ECIRECIR-2017-Anand0P #detection #exclamation #what
We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! (AA, TC0, NP), pp. 541–547.
ECIRECIR-2017-ClosBWC #predict #social
Predicting Emotional Reaction in Social Networks (JC, AB, NW, GC), pp. 527–533.
ECIRECIR-2017-HuangHC #detection
Irony Detection with Attentive Recurrent Neural Networks (YHH, HHH, HHC), pp. 534–540.
ECIRECIR-2017-ManotumruksaMO #matrix #predict #rating #social #word
Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks (JM, CM, IO), pp. 647–654.
ICMLICML-2017-AmosK #named #optimisation
OptNet: Differentiable Optimization as a Layer in Neural Networks (BA, JZK), pp. 136–145.
ICMLICML-2017-AmosXK
Input Convex Neural Networks (BA, LX, JZK), pp. 146–155.
ICMLICML-2017-ArjovskyCB #generative
Wasserstein Generative Adversarial Networks (MA, SC, LB), pp. 214–223.
ICMLICML-2017-ArpitJBKBKMFCBL
A Closer Look at Memorization in Deep Networks (DA, SJ, NB, DK, EB, MSK, TM, AF, ACC, YB, SLJ), pp. 233–242.
ICMLICML-2017-BalduzziMB #approximate #convergence
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks (DB, BM, TBY), pp. 351–360.
ICMLICML-2017-BelangerYM #energy #learning #predict
End-to-End Learning for Structured Prediction Energy Networks (DB, BY, AM), pp. 429–439.
ICMLICML-2017-BolukbasiWDS #adaptation #performance
Adaptive Neural Networks for Efficient Inference (TB, JW0, OD, VS), pp. 527–536.
ICMLICML-2017-ChoB #named
MEC: Memory-efficient Convolution for Deep Neural Network (MC, DB), pp. 815–824.
ICMLICML-2017-CisseBGDU #robust
Parseval Networks: Improving Robustness to Adversarial Examples (MC, PB, EG, YND, NU), pp. 854–863.
ICMLICML-2017-CortesGKMY #adaptation #learning #named
AdaNet: Adaptive Structural Learning of Artificial Neural Networks (CC, XG, VK, MM, SY), pp. 874–883.
ICMLICML-2017-DauphinFAG #modelling
Language Modeling with Gated Convolutional Networks (YND, AF, MA, DG), pp. 933–941.
ICMLICML-2017-FeldmanOR #graph #summary
Coresets for Vector Summarization with Applications to Network Graphs (DF, SO, DR), pp. 1117–1125.
ICMLICML-2017-FinnAL #adaptation #performance
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (CF, PA, SL), pp. 1126–1135.
ICMLICML-2017-FoersterGSCS #architecture
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability (JNF, JG, JSD, JC, DS), pp. 1136–1145.
ICMLICML-2017-GaoFC #learning
Local-to-Global Bayesian Network Structure Learning (TG, KPF, MC), pp. 1193–1202.
ICMLICML-2017-GravesBMMK #automation #education #learning
Automated Curriculum Learning for Neural Networks (AG, MGB, JM, RM, KK), pp. 1311–1320.
ICMLICML-2017-GuoPSW #on the
On Calibration of Modern Neural Networks (CG, GP, YS0, KQW), pp. 1321–1330.
ICMLICML-2017-GygliNA
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs (MG, MN0, AA), pp. 1341–1351.
ICMLICML-2017-HongHZ #algorithm #distributed #learning #named #optimisation #performance
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks (MH, DH, MMZ), pp. 1529–1538.
ICMLICML-2017-HuQ #memory management
State-Frequency Memory Recurrent Neural Networks (HH, GJQ), pp. 1568–1577.
ICMLICML-2017-JingSDPSLTS #performance
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs (LJ, YS, TD, JP, SAS, YL, MT, MS), pp. 1733–1741.
ICMLICML-2017-KalchbrennerOSD #video
Video Pixel Networks (NK, AvdO, KS, ID, OV, AG, KK), pp. 1771–1779.
ICMLICML-2017-KanskySMELLDSPG #generative #physics
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics (KK, TS, DAM, ME, MLG, XL, ND, SS, DSP, DG), pp. 1809–1818.
ICMLICML-2017-KimCKLK #generative #learning
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (TK, MC, HK, JKL, JK), pp. 1857–1865.
ICMLICML-2017-KimPKH #learning #named #parallel #parametricity #reduction #semantics
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization (JK, YP, GK, SJH), pp. 1866–1874.
ICMLICML-2017-LiG
Dropout Inference in Bayesian Neural Networks with Alpha-divergences (YL, YG), pp. 2052–2061.
ICMLICML-2017-LivniCG #infinity #kernel #learning
Learning Infinite Layer Networks Without the Kernel Trick (RL, DC, AG), pp. 2198–2207.
ICMLICML-2017-LongZ0J #adaptation #learning
Deep Transfer Learning with Joint Adaptation Networks (ML, HZ, JW0, MIJ), pp. 2208–2217.
ICMLICML-2017-LouizosW #multi #normalisation
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks (CL, MW), pp. 2218–2227.
ICMLICML-2017-Luo #architecture #learning
Learning Deep Architectures via Generalized Whitened Neural Networks (PL0), pp. 2238–2246.
ICMLICML-2017-MaystreG17a #identification #named
ChoiceRank: Identifying Preferences from Node Traffic in Networks (LM, MG), pp. 2354–2362.
ICMLICML-2017-McGillP #how
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks (MM, PP), pp. 2363–2372.
ICMLICML-2017-MeschederNG #generative
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks (LMM, SN, AG), pp. 2391–2400.
ICMLICML-2017-MhammediHRB #orthogonal #performance #using
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections (ZM, ADH, AR, JB0), pp. 2401–2409.
ICMLICML-2017-MolchanovAV
Variational Dropout Sparsifies Deep Neural Networks (DM, AA, DPV), pp. 2498–2507.
ICMLICML-2017-MunkhdalaiY
Meta Networks (TM, HY0), pp. 2554–2563.
ICMLICML-2017-NeilLDL
Delta Networks for Optimized Recurrent Network Computation (DN, JL, TD, SCL), pp. 2584–2593.
ICMLICML-2017-NguyenH
The Loss Surface of Deep and Wide Neural Networks (QN0, MH0), pp. 2603–2612.
ICMLICML-2017-PenningtonB #geometry #matrix #random
Geometry of Neural Network Loss Surfaces via Random Matrix Theory (JP, YB), pp. 2798–2806.
ICMLICML-2017-RaghuPKGS #on the #power of
On the Expressive Power of Deep Neural Networks (MR, BP, JMK, SG, JSD), pp. 2847–2854.
ICMLICML-2017-RitterBSB #bias #case study
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study (SR, DGTB, AS, MMB), pp. 2940–2949.
ICMLICML-2017-SafranS #approximate #trade-off
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks (IS, OS), pp. 2979–2987.
ICMLICML-2017-SakrKS #precise
Analytical Guarantees on Numerical Precision of Deep Neural Networks (CS, YK0, NRS), pp. 3007–3016.
ICMLICML-2017-ScamanBBLM #algorithm #distributed #optimisation
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks (KS, FRB, SB, YTL, LM), pp. 3027–3036.
ICMLICML-2017-SundararajanTY #axiom
Axiomatic Attribution for Deep Networks (MS, AT, QY), pp. 3319–3328.
ICMLICML-2017-Telgarsky
Neural Networks and Rational Functions (MT), pp. 3387–3393.
ICMLICML-2017-Tian #analysis #convergence
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis (YT), pp. 3404–3413.
ICMLICML-2017-TompsonSSP #simulation
Accelerating Eulerian Fluid Simulation With Convolutional Networks (JT, KS, PS, KP), pp. 3424–3433.
ICMLICML-2017-VezhnevetsOSHJS #learning
FeUdal Networks for Hierarchical Reinforcement Learning (ASV, SO, TS, NH, MJ, DS, KK), pp. 3540–3549.
ICMLICML-2017-VorontsovTKP #dependence #learning #on the #orthogonal
On orthogonality and learning recurrent networks with long term dependencies (EV, CT, SK, CP), pp. 3570–3578.
ICMLICML-2017-YangKT #classification #video
Tensor-Train Recurrent Neural Networks for Video Classification (YY, DK, VT), pp. 3891–3900.
ICMLICML-2017-YoonH
Combined Group and Exclusive Sparsity for Deep Neural Networks (JY, SJH), pp. 3958–3966.
ICMLICML-2017-ZhangLW
Convexified Convolutional Neural Networks (YZ0, PL, MJW), pp. 4044–4053.
ICMLICML-2017-ZhangZZHZ #distributed #learning #online
Projection-free Distributed Online Learning in Networks (WZ0, PZ, WZ0, SCHH, TZ), pp. 4054–4062.
ICMLICML-2017-ZhaoLW0TY #matrix #rank
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank (LZ, SL, YW, ZL0, JT0, BY0), pp. 4082–4090.
ICMLICML-2017-ZhongS0BD
Recovery Guarantees for One-hidden-layer Neural Networks (KZ, ZS, PJ0, PLB, ISD), pp. 4140–4149.
ICMLICML-2017-ZillySKS
Recurrent Highway Networks (JGZ, RKS, JK, JS), pp. 4189–4198.
KDDKDD-2017-AlbertKG #identification #scalability #using
Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale (AA, JK, MCG), pp. 1357–1366.
KDDKDD-2017-AvinLNP #bound
Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment Networks (CA, ZL, YN, DP), pp. 45–53.
KDDKDD-2017-BaiWT0D
Unsupervised Network Discovery for Brain Imaging Data (ZB, PBW, AET, FW0, ID), pp. 55–64.
KDDKDD-2017-BaytasXZWJZ #type system
Patient Subtyping via Time-Aware LSTM Networks (IMB, CX, XZ, FW0, AKJ0, JZ), pp. 65–74.
KDDKDD-2017-ChengLL #feature model #social
Unsupervised Feature Selection in Signed Social Networks (KC, JL, HL0), pp. 777–786.
KDDKDD-2017-DadkhahiM #detection #embedded #learning
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices (HD, BMM), pp. 1773–1781.
KDDKDD-2017-DebGIPVYY #automation #learning #named #policy #predict
AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments (SD, ZG, SI, SCP, SV, HY, JY), pp. 1783–1792.
KDDKDD-2017-DongCS #learning #named #representation #scalability
metapath2vec: Scalable Representation Learning for Heterogeneous Networks (YD, NVC, AS), pp. 135–144.
KDDKDD-2017-DongJXC #case study
Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks (YD, RAJ, JX, NVC), pp. 807–816.
KDDKDD-2017-EikmeierG
Revisiting Power-law Distributions in Spectra of Real World Networks (NE, DFG), pp. 817–826.
KDDKDD-2017-GuSG #co-evolution #evolution #migration #social
The Co-Evolution Model for Social Network Evolving and Opinion Migration (YG, YS, JG), pp. 175–184.
KDDKDD-2017-HallacPBL #visual notation
Network Inference via the Time-Varying Graphical Lasso (DH, YP, SPB, JL), pp. 205–213.
KDDKDD-2017-HouYSA #android #detection #named
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network (SH, YY, YS, MA), pp. 1507–1515.
KDDKDD-2017-LiMGK #interactive
A Context-aware Attention Network for Interactive Question Answering (HL, MRM, YG, AK), pp. 927–935.
KDDKDD-2017-MaCZYSG #bidirectional #named #predict
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks (FM, RC, JZ, QY, TS, JG0), pp. 1903–1911.
KDDKDD-2017-MottiniA #pointer #predict #using
Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction (AM, RAA), pp. 1575–1583.
KDDKDD-2017-PanZLCHHZ #scalability
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis (LP, JZ, PPCL, HC, CH, CH, KZ), pp. 1951–1959.
KDDKDD-2017-SaveskiPSDGXA #detection #random
Detecting Network Effects: Randomizing Over Randomized Experiments (MS, JPA, GSJ, WD, SG, YX, EMA), pp. 1027–1035.
KDDKDD-2017-Scholtes #multi #visual notation
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks (IS), pp. 1037–1046.
KDDKDD-2017-ShenHYSLC #on the #online #social
On Finding Socially Tenuous Groups for Online Social Networks (CYS, LHH, DNY, HHS, WCL, MSC), pp. 415–424.
KDDKDD-2017-ShiCZG0 #named #probability
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks (YS, PWC, HZ, HG, JH0), pp. 425–434.
KDDKDD-2017-SinghSGMC #evolution #modelling
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks (MS0, RS, PG, AM0, SC), pp. 1077–1086.
KDDKDD-2017-WangGZOXLG #detection
Adversary Resistant Deep Neural Networks with an Application to Malware Detection (QW, WG, KZ, AGOI, XX, XL, CLG), pp. 1145–1153.
KDDKDD-2017-WangHCLYR #mining
Structural Deep Brain Network Mining (SW, LH0, BC, CTL, PSY, ABR), pp. 475–484.
KDDKDD-2017-YeZMPB #learning
Learning from Labeled and Unlabeled Vertices in Networks (WY0, LZ, DM, CP, CB), pp. 1265–1274.
KDDKDD-2017-YinCZ #comprehension #design #named #sequence
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks (ZY, KhC, RZ), pp. 2131–2139.
KDDKDD-2017-YouX0T #education #learning #multi
Learning from Multiple Teacher Networks (SY, CX0, CX0, DT), pp. 1285–1294.
KDDKDD-2017-ZhaoYLSL #recommendation
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (HZ, QY, JL, YS, DLL), pp. 635–644.
ECMFAECMFA-2017-KlugeSGSM #c #embedded #generative #modelling #named
cMoflon: Model-Driven Generation of Embedded C Code for Wireless Sensor Networks (RK, MS, DG, AS, MM), pp. 109–125.
PLDIPLDI-2017-BeckettMMPW #synthesis
Network configuration synthesis with abstract topologies (RB, RM, TDM, JP, DW), pp. 437–451.
POPLPOPL-2017-SmolkaKFK0 #probability #semantics
Cantor meets scott: semantic foundations for probabilistic networks (SS, PK0, NF, DK, AS0), pp. 557–571.
POPLPOPL-2017-SubramanianDA #multitenancy #named #overview
Genesis: synthesizing forwarding tables in multi-tenant networks (KS, LD, AA), pp. 572–585.
ASEASE-2017-Perez-SolerGLJ #modelling #social #towards
The rise of the (modelling) bots: towards assisted modelling via social networks (SPS, EG, JdL, FJ0), pp. 723–728.
ASEASE-2017-RafiqDRBYSLCPN #adaptation #learning #online #re-engineering #social
Learning to share: engineering adaptive decision-support for online social networks (YR, LD, AR, AKB, MY, AS, ML, GC, BAP, BN), pp. 280–285.
ESEC-FSEESEC-FSE-2017-DijkCHB #modelling #privacy #re-engineering
Model-driven software engineering in practice: privacy-enhanced filtering of network traffic (RvD, CC, JvdH, JvdB), pp. 860–865.
ESEC-FSEESEC-FSE-2017-HellendoornD #modelling #question #source code
Are deep neural networks the best choice for modeling source code? (VJH, PTD), pp. 763–773.
ICSE-2017-JoblinAHM #developer #empirical #metric
Classifying developers into core and peripheral: an empirical study on count and network metrics (MJ, SA, CH, WM), pp. 164–174.
ASPLOSASPLOS-2017-GaoPYHK #3d #memory management #named #performance #scalability
TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory (MG, JP, XY, MH, CK), pp. 751–764.
ASPLOSASPLOS-2017-HuSL #towards
Towards “Full Containerization” in Containerized Network Function Virtualization (YH0, MS, TL0), pp. 467–481.
ASPLOSASPLOS-2017-LesokhinERSGLBA #fault
Page Fault Support for Network Controllers (IL, HE, SR, GS, SG, LL, MBY, NA, DT), pp. 449–466.
ASPLOSASPLOS-2017-RenLDQWLQY #named #probability #using
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing (AR, ZL0, CD, QQ, YW, JL0, XQ, BY0), pp. 405–418.
CASECASE-2017-AskinH #automation #estimation
Automated lead time estimation for manufacturing networks with dynamic demand (RGA, GJH), pp. 994–999.
CASECASE-2017-CuiHD #collaboration #problem
4PL collaborative routing customization problem on the dynamic networks (YC, MH0, QD), pp. 1345–1349.
CASECASE-2017-CuiVZBB #adaptation #architecture #self
A software architecture supporting self-adaptation of wireless control networks (YC, RMV, XZ, JB, ESB), pp. 346–351.
CASECASE-2017-DingWL #approach #feedback #logic #matrix
Output feedback disturbance decoupling of boolean control networks: A logical matrix factorization approach (XD, SW, HL0), pp. 181–186.
CASECASE-2017-HuZY #evaluation #process #quality #research
Research on quality fluctuation evaluation based on state information network entropy in intelligent manufacturing process (SH, LZ0, YY), pp. 446–450.
CASECASE-2017-LiLPS #capacity #distributed #energy
Optimal placement and capacity allocation of distributed energy storage devices in distribution networks (WL, CL, XP, JS0), pp. 1403–1407.
CASECASE-2017-LiuJZ #metric #optimisation
An evacuation guider location optimization method based on road network centrality measures (ZL, QSJ, HZ), pp. 838–843.
CASECASE-2017-LiuLQLD #estimation
State estimation for BAM neural networks with mixed time delays (GL, CL, JQ, XL, JD), pp. 1506–1509.
CASECASE-2017-TianJW #sequence #social
Opinion containment in social networks over issue sequences (YT, GJ, LW0), pp. 1374–1379.
CASECASE-2017-Wang
Regulation by competing: A hidden layer of gene regulatory networks (XW), p. 96.
CASECASE-2017-WangWQL #constraints #metaprogramming #social
From micro to macro: Propagated constraints in social networks (CW, YW, TQ, HL), pp. 1534–1539.
CASECASE-2017-WuXS #protocol #trust
Trust-based protocol for securing routing in opportunistic networks (XW, JX, JS), pp. 434–439.
CASECASE-2017-YangLXC #algebra #logic
Controllability of dynamic-algebraic mix-valued logical control networks (LY, BL, RX, JC), pp. 171–176.
CASECASE-2017-ZhangJ #bias #distributed #metric
Target tracking over distributed sensor networks by polar measurements with time-varying bias (CZ, YJ), pp. 429–433.
CAVCAV-2017-HuangKWW #safety #verification
Safety Verification of Deep Neural Networks (XH0, MK, SW, MW), pp. 3–29.
CAVCAV-2017-KatzBDJK #named #performance #smt #verification
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks (GK, CWB, DLD, KJ, MJK), pp. 97–117.
CAVCAV-2017-CardelliCFKLPW #synthesis
Syntax-Guided Optimal Synthesis for Chemical Reaction Networks (LC, MC0, MF, MZK, LL, NP, MW), pp. 375–395.
CAVCAV-2017-McClurgHC #source code #synthesis
Synchronization Synthesis for Network Programs (JM, HH, PC), pp. 301–321.
QoSAQoSA-2016-PagliariMPT #adaptation #energy #information management #peer-to-peer
Energy-Aware Adaptive Techniques for Information Diffusion in Ungoverned Peer-to-Peer Networks (LP, RM, DPP, CT), pp. 96–105.
EDMEDM-2016-SharmaBGPD16a #education #multimodal #named #predict
LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos (AS, AB, AG, SP, OD), pp. 215–222.
EDMEDM-2016-SharmaBGPD16a_ #education #multimodal #named #predict
LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos (AS, AB, AG, SP, OD), pp. 215–222.
EDMEDM-2016-WilsonKHE #estimation
Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation (KHW, YK, BH, CE), pp. 539–544.
FMFM-2016-CimattiMS #automaton #hybrid
From Electrical Switched Networks to Hybrid Automata (AC, SM, MS), pp. 164–181.
AIIDEAIIDE-2016-SinghDHJPM #using
Recognizing Actions in Motion Trajectories Using Deep Neural Networks (KYS, NMD, CPH, MJ, KP, BM), pp. 211–217.
CHI-PLAYCHI-PLAY-2016-CollinsCL #exclamation #game studies #student
Say Cheese!: Games for Successful Academic and Student Networking (EIMC, ALC, FJL), pp. 105–115.
CHI-PLAYCHI-PLAY-2016-WellsCLMGS #data mining #mining
Mining for Gold (and Platinum): PlayStation Network Data Mining (LW, AJCS, IJL, LM, BG, KdS), pp. 304–312.
CoGCIG-2016-SoemersW #game studies #reuse #video
Hierarchical Task Network Plan Reuse for video games (DJNJS, MHMW), pp. 1–8.
CoGCIG-2016-StanescuBHB #game studies #realtime #using
Evaluating real-time strategy game states using convolutional neural networks (MS, NAB, AH, MB), pp. 1–7.
DiGRADiGRA-FDG-2016-PaavilainenAK #game studies #overview #social
Review of Social Features in Social Network Games (JP, KA, HK).
CIKMCIKM-2016-0002AK #distance #query
Fully Dynamic Shortest-Path Distance Query Acceleration on Massive Networks (TH0, TA, KiK), pp. 1533–1542.
CIKMCIKM-2016-AnwarLV0 #evolution
Tracking the Evolution of Congestion in Dynamic Urban Road Networks (TA, CL, HLV, MSI0), pp. 2323–2328.
CIKMCIKM-2016-CaoY #benchmark #dataset #metric #modelling #named #platform #social
ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling (XC, YY0), pp. 1881–1884.
CIKMCIKM-2016-ChenWPT #community #performance #using
Efficient Computation of Importance Based Communities in Web-Scale Networks Using a Single Machine (SC, RW, DP, AT), pp. 1553–1562.
CIKMCIKM-2016-ChenZH
Incorporate Group Information to Enhance Network Embedding (JC, QZ0, XH), pp. 1901–1904.
CIKMCIKM-2016-FanWL #analysis #metric #mobile #on the #optimisation
On Backup Battery Data in Base Stations of Mobile Networks: Measurement, Analysis, and Optimization (XF, FW0, JL), pp. 1513–1522.
CIKMCIKM-2016-JiangL
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network (JYJ, CTL), pp. 2033–2036.
CIKMCIKM-2016-JiangYCZY #privacy #query #reachability
Privacy-Preserving Reachability Query Services for Massive Networks (JJ, PY, BC, ZZ, XY0), pp. 145–154.
CIKMCIKM-2016-KasneciG #linear #named
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks (GK, TG), pp. 45–54.
CIKMCIKM-2016-LiKZH #classification #on the
On Transductive Classification in Heterogeneous Information Networks (XL, BK, YZ, ZH0), pp. 811–820.
CIKMCIKM-2016-LiTCELB #interactive #named #optimisation
TEAMOPT: Interactive Team Optimization in Big Networks (LL, HT, NC, KE, YRL, NB), pp. 2485–2487.
CIKMCIKM-2016-LuQZHG #approach #recommendation #social
Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach (YL, ZQ, CZ0, YH0, LG0), pp. 1957–1960.
CIKMCIKM-2016-ManshaKKA #identification #self #speech
A Self-Organizing Map for Identifying InfluentialCommunities in Speech-based Networks (SM, FK, AK, AA), pp. 1965–1968.
CIKMCIKM-2016-MaSCYKV #distributed #performance #query
Query Answering Efficiency in Expert Networks Under Decentralized Search (LM0, MS, DC, XY, SK, MV), pp. 2119–2124.
CIKMCIKM-2016-NegiC #predict #social
Link Prediction in Heterogeneous Social Networks (SN, SC), pp. 609–617.
CIKMCIKM-2016-RaoHL #estimation
Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks (JR, HH, JJL), pp. 1913–1916.
CIKMCIKM-2016-RongZC #approach
A Model-Free Approach to Infer the Diffusion Network from Event Cascade (YR, QZ, HC), pp. 1653–1662.
CIKMCIKM-2016-RossiZ #multi #scalability
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks (RAR, RZ0), pp. 1783–1792.
CIKMCIKM-2016-RuanSXTFLZ #using
Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model (WR, QZS, PX, NKT0, NJGF, XL0, WEZ), pp. 2021–2024.
CIKMCIKM-2016-SatyaLLTZ #online #social
Uncovering Fake Likers in Online Social Networks (PRBS, KL, DL0, TT, J(Z), pp. 2365–2370.
CIKMCIKM-2016-SongHL #social
Targeted Influence Maximization in Social Networks (CS, WH, MLL), pp. 1683–1692.
CIKMCIKM-2016-TangCSTV0
BigNet 2016: First Workshop on Big Network Analytics (JT0, KC, ZS, HT, MV, YY0), pp. 2505–2506.
CIKMCIKM-2016-TanWX #approach #recommendation
A Neural Network Approach to Quote Recommendation in Writings (JT, XW0, JX), pp. 65–74.
CIKMCIKM-2016-UfimtsevSMB #comprehension #metric
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections (VU, SS, AM0, SB), pp. 2347–2352.
CIKMCIKM-2016-ZengZMZW #clustering #predict
Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks (JZ, KZ0, XM, FZ, HW), pp. 1905–1908.
CIKMCIKM-2016-ZhangGWHH #predict #twitter
Retweet Prediction with Attention-based Deep Neural Network (QZ0, YG, JW, HH, XH), pp. 75–84.
CIKMCIKM-2016-ZhangTL #clustering #multi
Clustering Speed in Multi-lane Traffic Networks (BZ, GT, FL), pp. 2045–2048.
CIKMCIKM-2016-ZhangYZZ #classification #matrix
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks (DZ, JY, XZ, CZ), pp. 1563–1572.
ICMLICML-2016-AllamanisPS #source code #summary
A Convolutional Attention Network for Extreme Summarization of Source Code (MA, HP, CAS), pp. 2091–2100.
ICMLICML-2016-AlmahairiBCZLC #capacity
Dynamic Capacity Networks (AA, NB, TC, YZ, HL, ACC), pp. 2549–2558.
ICMLICML-2016-ArjovskySB #evolution
Unitary Evolution Recurrent Neural Networks (MA, AS, YB), pp. 1120–1128.
ICMLICML-2016-ArpitZKG #normalisation #parametricity
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks (DA, YZ, BUK, VG), pp. 1168–1176.
ICMLICML-2016-BalduzziG
Strongly-Typed Recurrent Neural Networks (DB, MG), pp. 1292–1300.
ICMLICML-2016-BelangerM #energy #predict
Structured Prediction Energy Networks (DB, AM), pp. 983–992.
ICMLICML-2016-BlondelIFU #algorithm #performance #polynomial
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms (MB, MI, AF, NU), pp. 850–858.
ICMLICML-2016-CohenS
Convolutional Rectifier Networks as Generalized Tensor Decompositions (NC, AS), pp. 955–963.
ICMLICML-2016-CohenW
Group Equivariant Convolutional Networks (TC, MW), pp. 2990–2999.
ICMLICML-2016-CouilletWAS #approach #matrix #random
A Random Matrix Approach to Echo-State Neural Networks (RC, GW, HTA, HS), pp. 517–525.
ICMLICML-2016-DielemanFK #symmetry
Exploiting Cyclic Symmetry in Convolutional Neural Networks (SD, JDF, KK), pp. 1889–1898.
ICMLICML-2016-Gilad-BachrachD #named #throughput
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy (RGB, ND, KL, KEL, MN, JW), pp. 201–210.
ICMLICML-2016-HenaffSL #orthogonal
Recurrent Orthogonal Networks and Long-Memory Tasks (MH, AS, YL), pp. 2034–2042.
ICMLICML-2016-KordaSL #clustering #distributed #linear
Distributed Clustering of Linear Bandits in Peer to Peer Networks (NK, BS, SL), pp. 1301–1309.
ICMLICML-2016-KumarIOIBGZPS #memory management #natural language
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (AK, OI, PO, MI, JB0, IG, VZ, RP, RS), pp. 1378–1387.
ICMLICML-2016-LinTA #fixpoint
Fixed Point Quantization of Deep Convolutional Networks (DDL, SST, VSA), pp. 2849–2858.
ICMLICML-2016-LiOW #multi
Multi-Bias Non-linear Activation in Deep Neural Networks (HL, WO, XW0), pp. 221–229.
ICMLICML-2016-LiuSSF #learning #markov
Structure Learning of Partitioned Markov Networks (SL0, TS, MS, KF), pp. 439–448.
ICMLICML-2016-LiuWYY
Large-Margin Softmax Loss for Convolutional Neural Networks (WL, YW, ZY, MY0), pp. 507–516.
ICMLICML-2016-NiepertAK #graph #learning
Learning Convolutional Neural Networks for Graphs (MN, MA, KK), pp. 2014–2023.
ICMLICML-2016-OordKK
Pixel Recurrent Neural Networks (AvdO, NK, KK), pp. 1747–1756.
ICMLICML-2016-OswalCRRN #learning #similarity
Representational Similarity Learning with Application to Brain Networks (UO, CRC, MALR, TTR, RDN), pp. 1041–1049.
ICMLICML-2016-PaigeW #modelling #monte carlo #visual notation
Inference Networks for Sequential Monte Carlo in Graphical Models (BP, FDW), pp. 3040–3049.
ICMLICML-2016-PanS
Expressiveness of Rectifier Networks (XP, VS), pp. 2427–2435.
ICMLICML-2016-PezeshkiFBCB #architecture
Deconstructing the Ladder Network Architecture (MP, LF, PB, ACC, YB), pp. 2368–2376.
ICMLICML-2016-SafranS #on the #quality
On the Quality of the Initial Basin in Overspecified Neural Networks (IS, OS), pp. 774–782.
ICMLICML-2016-SantoroBBWL
Meta-Learning with Memory-Augmented Neural Networks (AS, SB, MB, DW, TPL), pp. 1842–1850.
ICMLICML-2016-ShangSAL #comprehension #linear
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units (WS, KS, DA, HL), pp. 2217–2225.
ICMLICML-2016-SongGC #learning #sequence
Factored Temporal Sigmoid Belief Networks for Sequence Learning (JS, ZG, LC), pp. 1272–1281.
ICMLICML-2016-SongSZU
Training Deep Neural Networks via Direct Loss Minimization (YS, AGS, RSZ, RU), pp. 2169–2177.
ICMLICML-2016-TaylorBXSPG #approach #scalability
Training Neural Networks Without Gradients: A Scalable ADMM Approach (GT, RB, ZX0, BS, ABP, TG), pp. 2722–2731.
ICMLICML-2016-UlyanovLVL #image #synthesis
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images (DU, VL, AV, VSL), pp. 1349–1357.
ICMLICML-2016-WangMCBPRGUA #analysis #matrix
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix (SW, ArM, RC, JAB, MP, MR, KG, GU, ÖA), pp. 718–726.
ICMLICML-2016-WangSHHLF #architecture #learning
Dueling Network Architectures for Deep Reinforcement Learning (ZW0, TS, MH, HvH, ML, NdF), pp. 1995–2003.
ICMLICML-2016-WeiWRC #morphism
Network Morphism (TW, CW, YR, CWC), pp. 564–572.
ICMLICML-2016-XiongMS #memory management #visual notation
Dynamic Memory Networks for Visual and Textual Question Answering (CX, SM, RS), pp. 2397–2406.
ICMLICML-2016-ZhangLJ #polynomial
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time (YZ0, JDL, MIJ), pp. 993–1001.
ICMLICML-2016-ZhangLL #classification #image #scalability
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification (YZ, KL, HL), pp. 612–621.
ICMLICML-2016-ZhaoAGA
Collapsed Variational Inference for Sum-Product Networks (HZ0, TA, GJG, BA), pp. 1310–1318.
ICPRICPR-2016-AntonyMOM #using
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks (JA, KM, NEO, KM), pp. 1195–1200.
ICPRICPR-2016-BSSH #approach #classification #using
HEp-2 cell classification using artificial neural network approach (DB, KS, NH), pp. 84–89.
ICPRICPR-2016-CamgozHKB #3d #gesture #independence #recognition #using
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition (NCC, SH, OK, RB), pp. 49–54.
ICPRICPR-2016-CapuaNP #detection #social
Unsupervised cyber bullying detection in social networks (MDC, EDN, AP), pp. 432–437.
ICPRICPR-2016-ChaiLYLC #gesture #recognition #scalability
Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition (XC, ZL, FY, ZL, XC), pp. 31–36.
ICPRICPR-2016-ChenQYJ #bidirectional
Face alignment with Cascaded Bidirectional LSTM Neural Networks (YC, JQ, JY0, ZJ), pp. 313–318.
ICPRICPR-2016-ChenZW #approach #learning #summary #video
Wireless capsule endoscopy video summarization: A learning approach based on Siamese neural network and support vector machine (JC, YZ, YW0), pp. 1303–1308.
ICPRICPR-2016-ChoiKPS #detection #multi
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks (HC, SK, KP, KS), pp. 621–626.
ICPRICPR-2016-ChowdhuryBMKS #image #performance #retrieval #using
An efficient radiographic Image Retrieval system using Convolutional Neural Network (MC, SRB, RM, MKK, ÖS), pp. 3134–3139.
ICPRICPR-2016-CorniaBSC #multi #predict
A deep multi-level network for saliency prediction (MC, LB, GS0, RC), pp. 3488–3493.
ICPRICPR-2016-DuWZH #markov #recognition
Deep neural network based hidden Markov model for offline handwritten Chinese text recognition (JD, ZRW, JFZ, JSH), pp. 3428–3433.
ICPRICPR-2016-FengLXYM #traversal
Face hallucination by deep traversal network (ZXF, JHL, XX, DY, LM), pp. 3276–3281.
ICPRICPR-2016-GaoYGC #approach #constraints #using
Bayesian approach to learn Bayesian networks using data and constraints (XGG, YY, ZgG, DQC0), pp. 3667–3672.
ICPRICPR-2016-GhaderiA #learning
Selective unsupervised feature learning with Convolutional Neural Network (S-CNN) (AG, VA), pp. 2486–2490.
ICPRICPR-2016-GrantSZG #predict #visualisation
Predicting and visualizing psychological attributions with a deep neural network (EG, SS, MZ, MvG), pp. 1–6.
ICPRICPR-2016-GwonCK
Deep Sparse-coded Network (DSN) (YG, MC, HTK), pp. 2610–2615.
ICPRICPR-2016-HajduHBLEHT #algorithm #approximate #grid #using
Measuring regularity of network patterns by grid approximations using the LLL algorithm (AH, BH, RB, IL, GE, LH, RT), pp. 1524–1529.
ICPRICPR-2016-HasegawaH #classification #image #named #using
PLSNet: A simple network using Partial Least Squares regression for image classification (RH, KH), pp. 1601–1606.
ICPRICPR-2016-HuangY #3d #using
Point cloud labeling using 3D Convolutional Neural Network (JH0, SY), pp. 2670–2675.
ICPRICPR-2016-JhuangLT #3d #using #verification
Face verification with three-dimensional point cloud by using deep belief networks (DHJ, DTL, CHT), pp. 1430–1435.
ICPRICPR-2016-JiaSZY #classification
Deep convolutional neural network based HEp-2 cell classification (XJ, LS, XZ, SY), pp. 77–80.
ICPRICPR-2016-KabkabHC #on the #performance
On the size of Convolutional Neural Networks and generalization performance (MK, EMH, RC), pp. 3572–3577.
ICPRICPR-2016-KalraSRT #learning #using
Learning opposites using neural networks (SK, AS, SR, HRT), pp. 1213–1218.
ICPRICPR-2016-KimP #approach #detection #using
A shape preserving approach for salient object detection using convolutional neural networks (JK, VP), pp. 609–614.
ICPRICPR-2016-KimP16a #using
Discovering characteristic landmarks on ancient coins using convolutional networks (JK, VP), pp. 1595–1600.
ICPRICPR-2016-LiaoLL #classification #multi #robust #using
Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks (HL, YL, JL), pp. 355–360.
ICPRICPR-2016-LiSZY #classification
HEp-2 specimen classification with fully convolutional network (YL, LS, XZ, SY), pp. 96–100.
ICPRICPR-2016-LittwinW #complexity #multi
Complexity of multiverse networks and their multilayer generalization (EL, LW), pp. 372–377.
ICPRICPR-2016-Liu16a #classification #learning #multi #scalability
Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPRICPR-2016-LiuGX #constraints #synthesis
Texture synthesis through convolutional neural networks and spectrum constraints (GL0, YG, GSX), pp. 3234–3239.
ICPRICPR-2016-Lobato-RiosHCT #comparison #linear #quality
Linear model optimizer vs Neural Networks: A comparison for improving the quality and saving of LED-Lighting control systems (VLR, VdRHC, JACO, JFMT), pp. 2664–2669.
ICPRICPR-2016-LyuSZB #image #multi
Distinguishing text/non-text natural images with Multi-Dimensional Recurrent Neural Networks (PL, BS, CZ, XB), pp. 3981–3986.
ICPRICPR-2016-McCaneS #performance
Deep networks are efficient for circular manifolds (BM, LS), pp. 3464–3469.
ICPRICPR-2016-MeiDSB #identification
Scene text script identification with Convolutional Recurrent Neural Networks (JM, LD, BS, XB), pp. 4053–4058.
ICPRICPR-2016-MelekhovKR #image
Siamese network features for image matching (IM, JK, ER), pp. 378–383.
ICPRICPR-2016-MinelloTH #evolution #quantum
Quantum thermodynamics of time evolving networks (GM, AT, ERH), pp. 1536–1541.
ICPRICPR-2016-MurguiaRA #adaptation #architecture #dataset #evaluation #modelling #parallel
Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset (MICM, JARQ, GRA), pp. 137–142.
ICPRICPR-2016-NairKNG #documentation #segmentation #using
Segmentation of highly unstructured handwritten documents using a neural network technique (RRN, BUK, IN, VG), pp. 1291–1296.
ICPRICPR-2016-NieZJ #data transformation #representation
Latent regression Bayesian network for data representation (SN, YZ, QJ), pp. 3494–3499.
ICPRICPR-2016-NookaCVSP #adaptation #classification
Adaptive hierarchical classification networks (SPN, SC, KV, SS, RWP), pp. 3578–3583.
ICPRICPR-2016-PandaDR #multi #summary #video
Video summarization in a multi-view camera network (RP, AD, AKRC), pp. 2971–2976.
ICPRICPR-2016-PangN #3d #detection #multi
3D point cloud object detection with multi-view convolutional neural network (GP, UN), pp. 585–590.
ICPRICPR-2016-PengRP #learning #recognition #using
Learning face recognition from limited training data using deep neural networks (XP, NKR, SP), pp. 1442–1447.
ICPRICPR-2016-PengZ
Mutual information-based RBM neural networks (KHP, HZ), pp. 2458–2463.
ICPRICPR-2016-Pham0PV #performance
Faster training of very deep networks via p-norm gates (TP, TT0, DQP, SV), pp. 3542–3547.
ICPRICPR-2016-PuZZ #multi
Structure and appearance preserving network flow for multi-object tracking (SP, HZ, KZ), pp. 1804–1808.
ICPRICPR-2016-RoyDB #classification #documentation #image
Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification (SR, AD, UB), pp. 1273–1278.
ICPRICPR-2016-RoyTL #learning
Context-regularized learning of fully convolutional networks for scene labeling (AR, ST, LJL), pp. 3751–3756.
ICPRICPR-2016-ShankarDG #learning
Reinforcement Learning via Recurrent Convolutional Neural Networks (TS, SKD, PG), pp. 2592–2597.
ICPRICPR-2016-StunerCP #recognition #word
Cascading BLSTM networks for handwritten word recognition (BS, CC0, TP), pp. 3416–3421.
ICPRICPR-2016-SuJWSW #novel #recognition #segmentation
Novel character segmentation method for overlapped Chinese handwriting recognition based on LSTM neural networks (TS, SJ, QW, LS, RW), pp. 1141–1146.
ICPRICPR-2016-SunHLK #learning #multi #recognition
Multiple Instance Learning Convolutional Neural Networks for object recognition (MS, TXH, MCL, AKR), pp. 3270–3275.
ICPRICPR-2016-TabernikKWL #composition #towards
Towards deep compositional networks (DT, MK, JLW, AL), pp. 3470–3475.
ICPRICPR-2016-Teerapittayanon #named #performance
BranchyNet: Fast inference via early exiting from deep neural networks (ST, BM, HTK), pp. 2464–2469.
ICPRICPR-2016-TobiasDRMF #case study #mobile #recognition
Convolutional Neural Networks for object recognition on mobile devices: A case study (LT, AD, FR0, GM, RF), pp. 3530–3535.
ICPRICPR-2016-Triantafyllidou #detection #incremental #learning
Face detection based on deep convolutional neural networks exploiting incremental facial part learning (DT, AT), pp. 3560–3565.
ICPRICPR-2016-Uchida0O
Coupled convolution layer for convolutional neural network (KU, MT0, MO), pp. 3548–3553.
ICPRICPR-2016-Valverde-Rebaza #predict #social
Exploiting social and mobility patterns for friendship prediction in location-based social networks (JCVR, MR, PP, AdAL), pp. 2526–2531.
ICPRICPR-2016-VargaS #automation #image
Fully automatic image colorization based on Convolutional Neural Network (DV, TS), pp. 3691–3696.
ICPRICPR-2016-WangB #predict
Link prediction via Supervised Dynamic Network Formation (YW0, LB0), pp. 4160–4165.
ICPRICPR-2016-WangLLGTO #gesture #recognition #scalability #using
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks (PW, WL, SL, ZG, CT, PO), pp. 7–12.
ICPRICPR-2016-WangLLZGO #gesture #recognition #scalability #using
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks (PW, WL, SL, YZ, ZG, PO), pp. 13–18.
ICPRICPR-2016-WangLP #visual notation
Finetuning Convolutional Neural Networks for visual aesthetics (YW, YL, FP), pp. 3554–3559.
ICPRICPR-2016-WangWH #analysis #using
Network entropy analysis using the Maxwell-Boltzmann partition function (JW, RCW0, ERH), pp. 1321–1326.
ICPRICPR-2016-Williams #classification #using
Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks (DPW), pp. 2497–2502.
ICPRICPR-2016-XieSJFZ #recognition
Fully convolutional recurrent network for handwritten Chinese text recognition (ZX, ZS, LJ, ZF, SZ), pp. 4011–4016.
ICPRICPR-2016-XuT #3d #learning
Beam search for learning a deep Convolutional Neural Network of 3D shapes (XX, ST), pp. 3506–3511.
ICPRICPR-2016-Yamada #detection
Pedestrian detection with a resolution-aware convolutional network (KY), pp. 591–596.
ICPRICPR-2016-YamashitaFYF #detection #multi #using
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network (TY, HF, YY, HF), pp. 3500–3505.
ICPRICPR-2016-YangJNL #normalisation #online #recognition #using
Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network (WY, LJ, HN, TL), pp. 4083–4088.
ICPRICPR-2016-YangN #detection #multi
A multi-scale cascade fully convolutional network face detector (ZY, RN), pp. 633–638.
ICPRICPR-2016-YangSZ #detection
A joint facial point detection method of deep convolutional network and shape regression (TY, CS, NZ), pp. 543–548.
ICPRICPR-2016-Ye0L #3d #retrieval #sketching
3D sketch-based 3D model retrieval with convolutional neural network (YY, BL0, YL), pp. 2936–2941.
ICPRICPR-2016-YeZL #classification #documentation #online #random
Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents (JYY, YMZ, CLL), pp. 3264–3269.
ICPRICPR-2016-ZhangGST #recognition
Application of pronunciation knowledge on phoneme recognition by LSTM neural network (BZ, YG, YS, BT), pp. 2906–2911.
ICPRICPR-2016-ZhangLQ #using
Wake-up-word spotting using end-to-end deep neural network system (SZ, WL, YQ0), pp. 2878–2883.
ICPRICPR-2016-ZhangQ #adaptation #agile #modelling
Rapid feature space MLLR speaker adaptation for deep neural network acoustic modeling (SZ, YQ0), pp. 2889–2894.
ICPRICPR-2016-ZhengCZZL #independence #using
Text-independent voice conversion using deep neural network based phonetic level features (HZ, WC, TZ, SZ, ML0), pp. 2872–2877.
ICPRICPR-2016-ZhongZYL #recognition
Handwritten Chinese character recognition with spatial transformer and deep residual networks (ZZ, XYZ, FY, CLL), pp. 3440–3445.
ICPRICPR-2016-ZhuWLZ #gender #learning #lightweight #recognition
Learning a lightweight deep convolutional network for joint age and gender recognition (LZ, KW, LL, LZ0), pp. 3282–3287.
ICPRICPR-2016-ZhuZMSSS #3d #gesture #recognition #scalability #using
Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (GZ, LZ0, LM, JS, JS, PS), pp. 19–24.
KDDKDD-2016-ArbourGJ
Inferring Network Effects from Observational Data (DTA, DG, DDJ), pp. 715–724.
KDDKDD-2016-BaoWL #approach #data-driven #predict #resource management
From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation (YB, HW, XL0), pp. 1425–1434.
KDDKDD-2016-ChangZTYCHH #learning #streaming
Positive-Unlabeled Learning in Streaming Networks (SC, YZ0, JT, DY, YC, MAHJ, TSH), pp. 755–764.
KDDKDD-2016-Chayes #estimation #machine learning #modelling
Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks (JTC), p. 1.
KDDKDD-2016-ChenTXYH #dependence #multi #named #performance
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks (CC0, HT, LX, LY, QH), pp. 765–774.
KDDKDD-2016-ChenWTWC
Compressing Convolutional Neural Networks in the Frequency Domain (WC, JTW, ST, KQW, YC), pp. 1475–1484.
KDDKDD-2016-ChuWPWZC
Finding Gangs in War from Signed Networks (LC, ZW, JP, JW, ZZ, EC), pp. 1505–1514.
KDDKDD-2016-CoskunGK #performance #proximity #query
Efficient Processing of Network Proximity Queries via Chebyshev Acceleration (MC, AG, MK), pp. 1515–1524.
KDDKDD-2016-DengSDZYL #predict
Latent Space Model for Road Networks to Predict Time-Varying Traffic (DD, CS, UD, LZ, RY, YL0), pp. 1525–1534.
KDDKDD-2016-Freitas #composition #learning
Learning to Learn and Compositionality with Deep Recurrent Neural Networks: Learning to Learn and Compositionality (NdF), p. 3.
KDDKDD-2016-GroverL #learning #named #scalability
node2vec: Scalable Feature Learning for Networks (AG, JL), pp. 855–864.
KDDKDD-2016-GuoLI #approximate
Convolutional Neural Networks for Steady Flow Approximation (XG, WL, FI), pp. 481–490.
KDDKDD-2016-HaPK #categorisation #e-commerce #multi #scalability #using
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks (JH, HP, JK), pp. 107–115.
KDDKDD-2016-HuangZCSML #scalability
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks (ZH0, YZ, RC, YS, NM, XL), pp. 1595–1604.
KDDKDD-2016-Li0TFT #named
QUINT: On Query-Specific Optimal Networks (LL, YY0, JT0, WF0, HT), pp. 985–994.
KDDKDD-2016-LiuPLTCL #online #social
Audience Expansion for Online Social Network Advertising (HL, DP, KL, MT, FC, CL), pp. 165–174.
KDDKDD-2016-NandanwarM #classification
Structural Neighborhood Based Classification of Nodes in a Network (SN, MNM), pp. 1085–1094.
KDDKDD-2016-PerozziSST #recommendation
When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks (BP, MS, JS, MT), pp. 569–578.
KDDKDD-2016-Robles-GrandaMN #generative #modelling
Sampling of Attributed Networks from Hierarchical Generative Models (PRG, SM, JN), pp. 1155–1164.
KDDKDD-2016-Shi0CTGR #multi #scalability #social
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay (YS, MK0, SC, MT, SG, RR), pp. 1855–1864.
KDDKDD-2016-WangC0
Structural Deep Network Embedding (DW, PC0, WZ0), pp. 1225–1234.
KDDKDD-2016-XuYYXZ #detection
Talent Circle Detection in Job Transition Networks (HX, ZY0, JY, HX, HZ), pp. 655–664.
KDDKDD-2016-XuZZLZCX #analysis #behaviour #perspective #social
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective (TX, HZ, XZ, QL0, HZ, EC, HX), pp. 1285–1294.
KDDKDD-2016-YuCG #identification #social
Identifying Decision Makers from Professional Social Networks (SY, EC, AG), pp. 333–342.
KDDKDD-2016-ZangCF #social
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications (CZ, PC0, CF), pp. 2015–2024.
KDDKDD-2016-ZhaiCZZ #learning #named #online
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks (SZ, KhC, RZ, Z(Z), pp. 1295–1304.
KDDKDD-2016-ZhangT #named #performance
FINAL: Fast Attributed Network Alignment (SZ, HT), pp. 1345–1354.
KDDKDD-2016-ZhangXKZ #evolution #named
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks (YZ, YX, XK, YZ), pp. 1365–1374.
PLDIPLDI-2016-El-HassanyMBVV #analysis #concurrent #named
SDNRacer: concurrency analysis for software-defined networks (AEH, JM, PB, LV, MTV), pp. 402–415.
PLDIPLDI-2016-McClurgHFC #programming
Event-driven network programming (JM, HH, NF, PC), pp. 369–385.
PLDIPLDI-2016-TruongBTLMFS #compilation #named #performance #runtime
Latte: a language, compiler, and runtime for elegant and efficient deep neural networks (LT, RB, ET, HL, CM, AF, TS), pp. 209–223.
POPLPOPL-2016-PlotkinBLRV #scalability #symmetry #using #verification
Scaling network verification using symmetry and surgery (GDP, NB, NPL, AR, GV), pp. 69–83.
ASEASE-2016-AbdessalemNBS #multi #testing #using
Testing advanced driver assistance systems using multi-objective search and neural networks (RBA, SN, LCB, TS), pp. 63–74.
ASEASE-2016-XuYXXCL #developer #online #predict #semantics
Predicting semantically linkable knowledge in developer online forums via convolutional neural network (BX, DY, ZX, XX, GC, SL), pp. 51–62.
FSEFSE-2016-Alexandru #synthesis #using
Guided code synthesis using deep neural networks (CVA), pp. 1068–1070.
CASECASE-2016-GaddouriBD #hybrid #modelling #petri net
Controlled Triangular Batches Petri Nets for hybrid mesoscopic modeling of traffic road networks under VSL control (RG, LB, ID), pp. 427–432.
CASECASE-2016-LiuT #distributed #hybrid #multi #using
Distributed vision network for multiple target tracking using a dynamic hybrid consensus filter (GL, GT), pp. 805–808.
CASECASE-2016-ZouFP #estimation #metric #using
Psychoacoustic impacts estimation in manufacturing based on accelerometer measurement using artificial neural networks (MZ, LF, JP), pp. 1203–1208.
ESOPESOP-2016-BresGH #algebra #process
A Timed Process Algebra for Wireless Networks with an Application in Routing - (Extended Abstract) (EB, RJvG, PH), pp. 95–122.
ICTSSICTSS-2016-SuzukiPKT #analysis #behaviour #visualisation
Distribution Visualization for User Behavior Analysis on LTE Network (MS, QP, TK, MT), pp. 249–255.
CBSECBSE-2015-RamachandranDPM
Hitch Hiker: A Remote Binding Model with Priority Based Data Aggregation for Wireless Sensor Networks (GSR, WD, JP, SM, WJ, DH, BP), pp. 43–48.
ECSAECSA-2015-WangC #architecture #performance #social
A Specialised Social Network Software Architecture for Efficient Household Water Use Management (ZW, AC), pp. 146–153.
DRRDRR-2015-MiouletBCPB #architecture #multi #recognition
Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition (LM, GB, CC, TP, SB).
HTHT-2015-AhlersM #challenge #collaboration #concept #semantics
Everything is Filed under “File”: Conceptual Challenges in Applying Semantic Search to Network Shares for Collaborative Work (DA, MM), pp. 327–328.
HTHT-2015-HeimbachSSH #empirical #facebook #online #social #twitter
Content Virality on Online Social Networks: Empirical Evidence from Twitter, Facebook, and Google+ on German News Websites (IH, BS, TS, OH), pp. 39–47.
HTHT-2015-JainKJ #online #social
Other Times, Other Values: Leveraging Attribute History to Link User Profiles across Online Social Networks (PJ, PK, AJ), pp. 247–255.
HTHT-2015-KershawRS #online #social
Language Innovation and Change in On-line Social Networks (DK, MR, PS), pp. 311–314.
SIGMODSIGMOD-2015-ErlingALCGPPB #benchmark #interactive #metric #social
The LDBC Social Network Benchmark: Interactive Workload (OE, AA, JLLP, HC, AG, APP, MDP, PAB), pp. 619–630.
SIGMODSIGMOD-2015-GurukarRR #approach #commit #communication #mining #named #scalability
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SG, SR, BR), pp. 475–489.
SIGMODSIGMOD-2015-JiangFW #keyword #scalability
Exact Top-k Nearest Keyword Search in Large Networks (MJ, AWCF, RCWW), pp. 393–404.
SIGMODSIGMOD-2015-LiBCGM #named #towards
GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks (HL, SSB, JC, YG, JM), pp. 1525–1537.
SIGMODSIGMOD-2015-MytilinisGKDTTG #distributed #framework #named #platform #social
MoDisSENSE: A Distributed Spatio-Temporal and Textual Processing Platform for Social Networking Services (IM, IG, IK, KD, DT, MT, LG, NK), pp. 895–900.
SIGMODSIGMOD-2015-WangLYXZ #approach #performance
Efficient Route Planning on Public Transportation Networks: A Labelling Approach (SW, WL, YY, XX, SZ), pp. 967–982.
VLDBVLDB-2015-LiQYM #community #scalability
Influential Community Search in Large Networks (RHL, LQ, JXY, RM), pp. 509–520.
VLDBVLDB-2015-NaziZT0D #online #performance #social
Walk, Not Wait: Faster Sampling Over Online Social Networks (AN, ZZ, ST, NZ, GD), pp. 678–689.
VLDBVLDB-2015-WangWYZ #benchmark #community #detection #framework #metric #social
Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework (MW, CW, JXY, JZ), pp. 998–1009.
VLDBVLDB-2015-YuM #performance #scalability
Efficient Partial-Pairs SimRank Search for Large Networks (WY, JAM), pp. 569–580.
VLDBVLDB-2015-Zhou0D #online #performance #social
Leveraging History for Faster Sampling of Online Social Networks (ZZ, NZ, GD), pp. 1034–1045.
EDMEDM-2015-AnayaGLH #analysis #approach #collaboration #diagrams #social #using
An Approach of Collaboration Analytics in MOOCs Using Social Network Analysis and Influence Diagram (ARA, JGB, EL, FHdO), pp. 492–495.
EDMEDM-2015-Eagle #interactive
Estimating the Local Size and Coverage of Interaction Network Regions (ME), pp. 671–673.
EDMEDM-2015-EagleHB #estimation #interactive #predict #problem
Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments (ME, AH, TB), pp. 342–349.
EDMEDM-2015-Hayashi #analysis #feedback #online #process
Psychological Effects of In-Group Activity Feedback in an Online Explanation Task: Lexical Network Analysis (YH), pp. 484–487.
EDMEDM-2015-JiangZLL #analysis #question #what
Influence Analysis by Heterogeneous Network in MOOC Forums: What can We Discover? (ZJ, YZ, CL, XL), pp. 242–249.
SIGITESIGITE-2015-ChouH #research
Theoretical Research Project vs. Hands-on Project in a Network Management Course (TSC, EH), pp. 145–148.
SIGITESIGITE-2015-FeasterZH
Serious Toys: Introducing Sensors and Sensor Networks in Pre-collegiate Classrooms (YF, JZ, JOH), pp. 3–8.
SIGITESIGITE-2015-StrongGS #performance
Work in Progress: Improving the Performance of the Radial Basis Function Network (AS, TG, LS), p. 103.
ICALPICALP-v2-2015-AminofRZS #liveness
Liveness of Parameterized Timed Networks (BA, SR, FZ, FS), pp. 375–387.
ICALPICALP-v2-2015-AvinLNP
Core Size and Densification in Preferential Attachment Networks (CA, ZL, YN, DP), pp. 492–503.
ICALPICALP-v2-2015-BringmannFHRS
Ultra-Fast Load Balancing on Scale-Free Networks (KB, TF, MH, RR, TS), pp. 516–527.
ICALPICALP-v2-2015-Charron-BostFN #algorithm #approximate
Approximate Consensus in Highly Dynamic Networks: The Role of Averaging Algorithms (BCB, MF, TN), pp. 528–539.
ICALPICALP-v2-2015-KarbasiLS #normalisation
Normalization Phenomena in Asynchronous Networks (AK, JL, AS), pp. 688–700.
LATALATA-2015-CodishCS #game studies #sorting
Sorting Networks: The End Game (MC, LCF, PSK), pp. 664–675.
LATALATA-2015-LiH #algebra #automaton #on the
On Observability of Automata Networks via Computational Algebra (RL, YH), pp. 249–262.
FMFM-2015-NelsonFK #difference #program analysis
Static Differential Program Analysis for Software-Defined Networks (TN, ADF, SK), pp. 395–413.
RTARTA-2015-Hellstrom #algebra
Network Rewriting II: Bi- and Hopf Algebras (LH), pp. 194–208.
CHI-PLAYCHI-PLAY-2015-EagleRHBBAE #interactive #learning
Measuring Implicit Science Learning with Networks of Player-Game Interactions (ME, ER, DH, RB, TB, JAC, TE), pp. 499–504.
CHI-PLAYCHI-PLAY-2015-Samper-Martinez #game studies #quote #social
“After All the Time I Put Into This”: Co-Creation and the End-of-life of Social Network Games (ASM, KMG, EGA, BK, SWL), pp. 135–140.
CHI-PLAYCHI-PLAY-2015-TondelloWSLKN #game studies
CHI PLAYGUE: A Networking Game of Emergent Sociality (GFT, RRW, SNS, AL, RK, LEN), pp. 791–794.
CoGCIG-2015-Miikkulainen #evolution #tutorial
Tutorial III: Evolving neural networks (RM), p. 22.
CoGCIG-2015-ZhuangLPZ #monte carlo #novel #representation
Improving Monte-Carlo tree search for dots-and-boxes with a novel board representation and artificial neural networks (YZ, SL, TVP, CZ), pp. 314–321.
DiGRADiGRA-2015-PaavilainenKKA #case study #experience #game studies #social
Exploring Playful Experiences in Social Network Games (JP, EK, HK, KA).
FDGFDG-2015-Vrajitoru #game studies
A Pattern-Based Bayesian Network for the Game of Nine Men's Morris (DV).
GaMGaM-2015-ValletKPM #approach #modelling #social #visual notation
A Visual Analytics Approach to Compare Propagation Models in Social Networks (JV, HK, BP, GM), pp. 65–79.
CSCWCSCW-2015-Borge-Holthoefer #twitter
Content and Network Dynamics Behind Egyptian Political Polarization on Twitter (JBH, WM, KD, IW), pp. 700–711.
CSCWCSCW-2015-Ferro #social
The Importance of Publicly Available Social Networking Sites (SNSs) to Entrepreneurs (TF), pp. 917–928.
CSCWCSCW-2015-GuhaW #social
Do Birds of a Feather Watch Each Other?: Homophily and Social Surveillance in Location Based Social Networks (SG, SBW), pp. 1010–1020.
CSCWCSCW-2015-IkkalaL
Monetizing Network Hospitality: Hospitality and Sociability in the Context of Airbnb (TI, AL), pp. 1033–1044.
CSCWCSCW-2015-IslamP #social
Engagement and Well-being on Social Network Sites (AKMNI, SP), pp. 375–382.
CSCWCSCW-2015-Medhi-ThiesFGOC #named #social
KrishiPustak: A Social Networking System for Low-Literate Farmers (IMT, PF, NG, JO, EC), pp. 1670–1681.
CSCWCSCW-2015-ParkKLYJC #case study #facebook #social
Manifestation of Depression and Loneliness on Social Networks: A Case Study of Young Adults on Facebook (SP, IK, SWL, JY, BJ, MC), pp. 557–570.
CSCWCSCW-2015-SleeperACKMS #behaviour #social
I Would Like To..., I Shouldn’t..., I Wish I...: Exploring Behavior-Change Goals for Social Networking Sites (MS, AA, LFC, PGK, SAM, NMS), pp. 1058–1069.
CSCWCSCW-2015-WisniewskiIKP #privacy #social
Give Social Network Users the Privacy They Want (PJW, AKMNI, BPK, SP), pp. 1427–1441.
HCIDUXU-DD-2015-Frankjaer #smarttech #social
Soft Computation in the Public Sphere: Enhancing Social Dynamics with Wearable Networks (TRF), pp. 447–457.
HCIDUXU-IXD-2015-CandelloBC #design #process #social
Design Process of a Social Network System for Storage and Share Files in the Workplace (HC, SB, LC), pp. 13–24.
HCIDUXU-IXD-2015-GuYWD #behaviour #design #interactive #social #visualisation
Visualizing Group User Behaviors for Social Network Interaction Design Iteration (ZG, JMY, ZW, ZD), pp. 36–45.
HCIHCI-IT-2015-FioriniLEMMBCD #case study #interactive #interface #social
Enhancing Human Robot Interaction Through Social Network Interfaces: A Case Study (LF, RL, RE, AM, AM, MB, FC, PD), pp. 729–740.
HCIHCI-IT-2015-MullerLBSKSW #data-driven #overview #predict #using
Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques (MM, DL, LB, MS, KK, SS, AW), pp. 329–340.
HCIHIMI-IKD-2015-NoseLBK #approach
Centralized Approach for a Unified Wireless Network Access (JDN, JL, CB, AK), pp. 547–559.
HCILCT-2015-Garcia-PenalvoC #evolution #information management #social
Evolution of the Conversation and Knowledge Acquisition in Social Networks Related to a MOOC Course (FJGP, JCB, OBG, ÁFB), pp. 470–481.
HCISCSM-2015-AhnL #social
An Analytic Study on Private SNS for Bonding Social Networking (HA, SL), pp. 107–117.
HCISCSM-2015-Kanawati #community #detection
Ensemble Selection for Community Detection in Complex Networks (RK), pp. 138–147.
HCISCSM-2015-KastratiIYD #analysis #online #social #using
Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON (ZK, ASI, SYY, FD), pp. 148–157.
HCISCSM-2015-ManssourSSFS #image #social #using #visualisation
Using Information Visualization Techniques to Improve the Perception of the Organizations’ Image on Social Networks (IHM, MSS, CQS, AJF, FTS), pp. 55–66.
HCISCSM-2015-VillelaXP #collaboration #identification
Identifying Collaboration Strategies in Scientific Collaboration Networks (MLBV, SX, ROP), pp. 253–264.
CAiSECAiSE-2015-SenderovichWGMK #process #validation
Discovery and Validation of Queueing Networks in Scheduled Processes (AS, MW, AG, AM, SK, CAB), pp. 417–433.
ICEISICEIS-v1-2015-CerqueiraOG #community #framework #scalability #social
A Framework for Analysing Dynamic Communities in Large-scale Social Networks (VC, MDBO, JG), pp. 235–242.
ICEISICEIS-v1-2015-CoelhoC
Radial Basis Function Neural Network Receiver for Wireless Channels (PHGC, FMC), pp. 658–663.
ICEISICEIS-v1-2015-SarmentoCG #streaming #using
Streaming Networks Sampling using top-K Networks (RS, MC, JG), pp. 228–234.
ICEISICEIS-v1-2015-ShamsuzzohaEAH #case study
Tracking and Tracing of Global Supply Chain Network — Case Study from a Finnish Company (AS, ME, RAT, PTH), pp. 46–53.
ICEISICEIS-v1-2015-YanguiNG #concept #design #multi #social #towards
Towards Data Warehouse Schema Design from Social Networks — Dynamic Discovery of Multidimensional Concepts (RY, AN, FG), pp. 338–345.
ICEISICEIS-v2-2015-MikhaylovFSZFT #locality #process
System of Localisation of the Network Activity Source in APCS Data Lines (DM, SDF, YYS, AZ, ASF, AT), pp. 245–251.
ICEISICEIS-v2-2015-PieroniP #configuration management #domain-specific language
A DSL for Configuration Management of Integrated Network Management System (RP, RADP), pp. 355–364.
ICEISICEIS-v2-2015-SmirnovP #architecture #hybrid #peer-to-peer #privacy #recommendation
Privacy-preserving Hybrid Peer-to-Peer Recommendation System Architecture — Locality-Sensitive Hashing in Structured Overlay Network (AVS, AP), pp. 532–542.
ICEISICEIS-v3-2015-BagheriKT #information management #social
Business-IT Alignment in PSS Value Networks — Linking Customer Knowledge Management to Social Customer Relationship Management (SB, RJK, JJMT), pp. 249–257.
ICEISICEIS-v3-2015-KypriotakiZG #distributed #peer-to-peer
From Bitcoin to Decentralized Autonomous Corporations — Extending the Application Scope of Decentralized Peer-to-Peer Networks and Blockchains (KNK, EDZ, GMG), pp. 284–290.
ICEISICEIS-v3-2015-RosaZ #mobile #privacy #social
Location-sharing Model in Mobile Social Networks with Privacy Guarantee (TAR, SDZ), pp. 44–54.
CIKMCIKM-2015-AnwarLV0 #estimation #named
RoadRank: Traffic Diffusion and Influence Estimation in Dynamic Urban Road Networks (TA, CL, HLV, MSI0), pp. 1671–1674.
CIKMCIKM-2015-DingSGHYH #predict #sentiment #video
Video Popularity Prediction by Sentiment Propagation via Implicit Network (WD, YS, LG, XH, RY, TH), pp. 1621–1630.
CIKMCIKM-2015-GuoWWT #social #topic
Social-Relational Topic Model for Social Networks (WG, SW, LW0, TT), pp. 1731–1734.
CIKMCIKM-2015-HeLHTD #social
Extracting Interest Tags for Non-famous Users in Social Network (WH, HL, JH0, ST, XD0), pp. 861–870.
CIKMCIKM-2015-HeWJ #canonical #correlation #documentation #topic
Discovering Canonical Correlations between Topical and Topological Information in Document Networks (YH0, CW0, CJ), pp. 1281–1290.
CIKMCIKM-2015-JoKB #analysis #gpu #matrix #multi #performance #scalability #social
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis (YYJ, SWK, DHB), pp. 1261–1270.
CIKMCIKM-2015-KangGWM #algorithm #clustering #scalability
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks (YK, XG, WW0, DM), pp. 33–42.
CIKMCIKM-2015-LiP #multi #named #privacy
ReverseCloak: Protecting Multi-level Location Privacy over Road Networks (CL0, BP), pp. 673–682.
CIKMCIKM-2015-MaoLF #approach #recognition #transaction
Fraud Transaction Recognition: A Money Flow Network Approach (RM, ZL, JF), pp. 1871–1874.
CIKMCIKM-2015-MiyauchiK #algorithm #community #detection #novel #quality #what
What Is a Network Community?: A Novel Quality Function and Detection Algorithms (AM0, YK), pp. 1471–1480.
CIKMCIKM-2015-RezvaniLXL #identification #scalability #social
Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks (MR, WL, WX, CL), pp. 263–272.
CIKMCIKM-2015-ShiZLYYW #personalisation #recommendation #semantics
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks (CS, ZZ, PL, PSY, YY, BW0), pp. 453–462.
CIKMCIKM-2015-SiersdorferKAZ #how #scalability #social #using
Who With Whom And How?: Extracting Large Social Networks Using Search Engines (SS, PK, HA, SZ), pp. 1491–1500.
CIKMCIKM-2015-SongHL #mining #social
Mining Brokers in Dynamic Social Networks (CS, WH, MLL), pp. 523–532.
CIKMCIKM-2015-TuarobTSR #modelling #social #using
Modeling Individual-Level Infection Dynamics Using Social Network Information (ST, CST, MS, NR), pp. 1501–1510.
CIKMCIKM-2015-WanLKYGCH #classification #learning
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks (CW, XL, BK, XY, QG, DWLC, JH0), pp. 443–452.
CIKMCIKM-2015-Wei0LQST #knowledge base #scalability
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances (ZW, JZ0, KL0, ZQ, ZS, GT), pp. 1331–1340.
CIKMCIKM-2015-YeL #constraints #logic #markov #multi
Structural Constraints for Multipartite Entity Resolution with Markov Logic Network (TY, HWL), pp. 1691–1694.
CIKMCIKM-2015-ZhaoZK #analysis #game studies #recommendation #social
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks (TZ, HVZ, IK), pp. 851–860.
CIKMCIKM-2015-ZhouCLXZL #social
Location-Based Influence Maximization in Social Networks (TZ, JC, BL0, SX, ZZ, JL), pp. 1211–1220.
ECIRECIR-2015-LiTWLR #automation #quality #wiki
Automatically Assessing Wikipedia Article Quality by Exploiting Article-Editor Networks (XL, JT, TW, ZL, MdR), pp. 574–580.
ECIRECIR-2015-WangHS0W0 #problem #recommendation #social #towards
Toward the New Item Problem: Context-Enhanced Event Recommendation in Event-Based Social Networks (ZW, PH, LS, KC, SW, GC), pp. 333–338.
ICMLICML-2015-AnBB #how #linear #question
How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? (SA, FB, MB), pp. 514–523.
ICMLICML-2015-BachmanP #collaboration #generative #probability
Variational Generative Stochastic Networks with Collaborative Shaping (PB, DP), pp. 1964–1972.
ICMLICML-2015-BlundellCKW #nondeterminism
Weight Uncertainty in Neural Network (CB, JC, KK, DW), pp. 1613–1622.
ICMLICML-2015-ChenWTWC
Compressing Neural Networks with the Hashing Trick (WC, JTW, ST, KQW, YC), pp. 2285–2294.
ICMLICML-2015-ChungGCB #feedback
Gated Feedback Recurrent Neural Networks (JC, ÇG, KC, YB), pp. 2067–2075.
ICMLICML-2015-ClarkS #game studies
Training Deep Convolutional Neural Networks to Play Go (CC, AJS), pp. 1766–1774.
ICMLICML-2015-FouldsKG #framework #modelling #probability #programming #topic
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (JRF, SHK, LG), pp. 777–786.
ICMLICML-2015-GregorDGRW #generative #image #named
DRAW: A Recurrent Neural Network For Image Generation (KG, ID, AG, DJR, DW), pp. 1462–1471.
ICMLICML-2015-HeRFGL #modelling #named #topic
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades (XH, TR, JRF, LG, YL), pp. 871–880.
ICMLICML-2015-Hernandez-Lobato15b #learning #probability #scalability
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.
ICMLICML-2015-HongYKH #learning #online
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network (SH, TY, SK, BH), pp. 597–606.
ICMLICML-2015-IoffeS #normalisation
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (SI, CS), pp. 448–456.
ICMLICML-2015-JozefowiczZS #architecture #empirical
An Empirical Exploration of Recurrent Network Architectures (RJ, WZ, IS), pp. 2342–2350.
ICMLICML-2015-LiSZ #generative
Generative Moment Matching Networks (YL, KS, RSZ), pp. 1718–1727.
ICMLICML-2015-LongC0J #adaptation #learning
Learning Transferable Features with Deep Adaptation Networks (ML, YC, JW, MJ), pp. 97–105.
ICMLICML-2015-MartensG #approximate #optimisation
Optimizing Neural Networks with Kronecker-factored Approximate Curvature (JM, RBG), pp. 2408–2417.
ICMLICML-2015-SnoekRSKSSPPA #optimisation #scalability #using
Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
ICMLICML-2015-SunWKM #geometry
Information Geometry and Minimum Description Length Networks (KS, JW, AK, SMM), pp. 49–58.
ICMLICML-2015-TangSX #learning
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior (QT, SS, JX), pp. 2247–2255.
ICMLICML-2015-ZhaoMP #on the
On the Relationship between Sum-Product Networks and Bayesian Networks (HZ, MM, PP), pp. 116–124.
KDDKDD-2015-0002PGM #on the
On the Formation of Circles in Co-authorship Networks (TC, SP, PG, AM), pp. 109–118.
KDDKDD-2015-AgrawalGP #question #social #web
Whither Social Networks for Web Search? (RA, BG, EEP), pp. 1661–1670.
KDDKDD-2015-ChangHTQAH #architecture
Heterogeneous Network Embedding via Deep Architectures (SC, WH, JT, GJQ, CCA, TSH), pp. 119–128.
KDDKDD-2015-ChierichettiEKL #algorithm #performance #social
Efficient Algorithms for Public-Private Social Networks (FC, AE, RK, SL, VSM), pp. 139–148.
KDDKDD-2015-DongZTCW #named #predict
CoupledLP: Link Prediction in Coupled Networks (YD, JZ, JT, NVC, BW), pp. 199–208.
KDDKDD-2015-FakhraeiFSG #detection #evolution #multi #social
Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
KDDKDD-2015-GogaLSTG #on the #online #reliability #scalability #social
On the Reliability of Profile Matching Across Large Online Social Networks (OG, PL, RS, RT, KPG), pp. 1799–1808.
KDDKDD-2015-Gomez-Rodriguez #machine learning #modelling #probability #problem #research #social
Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods (MGR, LS), pp. 2315–2316.
KDDKDD-2015-HallacLB #clustering #graph #optimisation #scalability
Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDDKDD-2015-HanT #community #probability #social
Probabilistic Community and Role Model for Social Networks (YH, JT), pp. 407–416.
KDDKDD-2015-JiangZT #capacity #constraints #social
Reciprocity in Social Networks with Capacity Constraints (BJ, ZLZ, DT), pp. 457–466.
KDDKDD-2015-LinLC #framework #multi #social
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks (SCL, SDL, MSC), pp. 695–704.
KDDKDD-2015-LucierOS #distributed #scalability
Influence at Scale: Distributed Computation of Complex Contagion in Networks (BL, JO, YS), pp. 735–744.
KDDKDD-2015-McAuleyPL
Inferring Networks of Substitutable and Complementary Products (JJM, RP, JL), pp. 785–794.
KDDKDD-2015-MitzenmacherPPT #clique #detection #scalability
Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling (MM, JP, RP, CET, SCX), pp. 815–824.
KDDKDD-2015-OhsakaMK #evolution #performance #rank
Efficient PageRank Tracking in Evolving Networks (NO, TM, KiK), pp. 875–884.
KDDKDD-2015-RaptiSTT #multi
Virus Propagation in Multiple Profile Networks (AR, SS, KT, GT), pp. 975–984.
KDDKDD-2015-RayanaA #detection #metadata #overview
Collective Opinion Spam Detection: Bridging Review Networks and Metadata (SR, LA), pp. 985–994.
KDDKDD-2015-RenEWH #approach #automation #corpus #mining #recognition #type system
Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach (XR, AEK, CW, JH), pp. 2319–2320.
KDDKDD-2015-SongMT #performance #recommendation
Efficient Latent Link Recommendation in Signed Networks (DS, DAM, DT), pp. 1105–1114.
KDDKDD-2015-SpasojevicLRB #social
When-To-Post on Social Networks (NS, ZL, AR, PB), pp. 2127–2136.
KDDKDD-2015-TangQM #named #predict #scalability
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks (JT, MQ, QM), pp. 1165–1174.
KDDKDD-2015-WangSERZH #clustering #documentation
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDDKDD-2015-XuCFSB #challenge #framework #scalability #social #testing
From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks (YX, NC, AF, OS, AB), pp. 2227–2236.
KDDKDD-2015-ZhangTMTJL #named #performance #scalability #similarity
Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
KDDKDD-2015-ZhangTYPY #consistency #named #social
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency (YZ, JT, ZY, JP, PSY), pp. 1485–1494.
KDDKDD-2015-ZhuPCZZ #modelling #social
Modeling User Mobility for Location Promotion in Location-based Social Networks (WYZ, WCP, LJC, KZ, XZ), pp. 1573–1582.
RecSysRecSys-2015-ChaneyBE #personalisation #probability #recommendation #social #using
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation (AJBC, DMB, TER), pp. 43–50.
RecSysRecSys-2015-MacedoMS #recommendation #social
Context-Aware Event Recommendation in Event-based Social Networks (AQdM, LBM, RLTS), pp. 123–130.
RecSysRecSys-2015-Salehi-AbariB #recommendation #social
Preference-oriented Social Networks: Group Recommendation and Inference (ASA, CB), pp. 35–42.
RecSysRecSys-2015-SousaDBM #analysis #named #recommendation
CNARe: Co-authorship Networks Analysis and Recommendations (GAdS, MAD, MAB, MMM), pp. 329–330.
SEKESEKE-2015-AssuncaoFLSV #automaton #generative #markov #modelling #named #predict #probability
SANGE — Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models (JA, PF, LL, AS, JMV), pp. 581–584.
SEKESEKE-2015-GokhaleE #analysis #social
Social Analysis of the SEKE Co-Author Network (SSG, REK), pp. 237–243.
SEKESEKE-2015-NetoSZD #using
Using implications from FCA to represent a two mode network data (SMN, MAJS, LEZ, SMD), pp. 256–259.
SIGIRSIGIR-2015-HsiehLY #social
I See You: Person-of-Interest Search in Social Networks (HPH, CTL, RY), pp. 839–842.
SIGIRSIGIR-2015-SeverynM #learning #rank
Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks (AS, AM), pp. 373–382.
SIGIRSIGIR-2015-SeverynM15a #analysis #sentiment #twitter
Twitter Sentiment Analysis with Deep Convolutional Neural Networks (AS, AM), pp. 959–962.
SIGIRSIGIR-2015-SongNZAC #learning #multi #predict #social #volunteer
Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction (XS, LN, LZ, MA, TSC), pp. 213–222.
MoDELSMoDELS-2015-LuddeckeSSS #modelling #using
Modeling user intentions for in-car infotainment systems using Bayesian networks (DL, CS, JS, IS), pp. 378–385.
LOPSTRLOPSTR-2015-CodishCNS #library #sorting
Applying Sorting Networks to Synthesize Optimized Sorting Libraries (MC, LCF, MN, PSK), pp. 127–142.
LOPSTRLOPSTR-2015-MantelMPW #analysis #automaton #composition #data flow #using
Using Dynamic Pushdown Networks to Automate a Modular Information-Flow Analysis (HM, MMO, MP, AW), pp. 201–217.
PLDIPLDI-2015-McClurgHCF #performance #synthesis
Efficient synthesis of network updates (JM, HH, PC, NF), pp. 196–207.
POPLPOPL-2015-Chlipala15a #case study #composition #interface #parallel #thread #verification #web
From Network Interface to Multithreaded Web Applications: A Case Study in Modular Program Verification (AC), pp. 609–622.
PPDPPPDP-2015-ChenLJZL #automation #declarative #safety #source code #verification
Automated verification of safety properties of declarative networking programs (CC, LKL, LJ, WZ, BTL), pp. 79–90.
ESEC-FSEESEC-FSE-2015-ArcuriFG #automation #generative #testing
Generating TCP/UDP network data for automated unit test generation (AA, GF, JPG), pp. 155–165.
ICSEICSE-v1-2015-JoblinMASR #approach #community #developer #fine-grained
From Developer Networks to Verified Communities: A Fine-Grained Approach (MJ, WM, SA, JS, DR), pp. 563–573.
SACSAC-2015-ArbizaBSGT #internet #middleware #refactoring
Refactoring internet of things middleware through software-defined network (LMRA, LMB, CRPdS, LZG, LMRT), pp. 640–645.
SACSAC-2015-BoukAK #challenge #overview #research
Vehicular content centric network (VCCN): a survey and research challenges (SHB, SHA, DK), pp. 695–700.
SACSAC-2015-ChaudhuriMG #predict #using
QoS prediction for network data traffic using hierarchical modified regularized least squares rough support vector regression (AC, SM, SKG), pp. 659–661.
SACSAC-2015-ChoobdarRS
Discovering weighted motifs in gene co-expression networks (SC, PMPR, FMAS), pp. 10–17.
SACSAC-2015-DuanZHX #analysis #delivery #framework #performance #platform
Performance analysis for a service delivery platform in software defined network (QD, MZ, JH, CCX), pp. 2257–2262.
SACSAC-2015-ErnstKR #evaluation #performance
Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints (JBE, SCK, JJPCR), pp. 680–687.
SACSAC-2015-FernandesPCRP #detection #metaheuristic #statistics
Statistical, forecasting and metaheuristic techniques for network anomaly detection (GF, EHMP, LFC, JJPCR, MLPJ), pp. 701–707.
SACSAC-2015-FontineleSSNM #physics #problem
A solution to the MCSP problem considering physical layer degradations in transparent optical networks (AF, IS, ACBS, JMN, FM), pp. 662–664.
SACSAC-2015-GkorouPE #distributed #trust
Trust-based collection of information in distributed reputation networks (DG, JAP, DHJE), pp. 2312–2319.
SACSAC-2015-GomesB #integration #mobile
Feasibility of information-centric networking integration into LTE mobile networks (AG, TB), pp. 627–633.
SACSAC-2015-GotoT #communication #detection #visual notation
Anomalous network communication detection system by visual pattern on a client computer (HG, TT), pp. 1263–1269.
SACSAC-2015-Grossl #modelling
Modeling dependable systems with continuous time Bayesian networks (MG), pp. 436–441.
SACSAC-2015-IqbalAB #design #framework #scheduling
Designing network servers within a hierarchical scheduling framework (ZI, LA, MB), pp. 653–658.
SACSAC-2015-JamhourPPSB
Interference aware channel assignment for structured wireless sensor networks (EJ, MEP, MCP, RDS, GGdOB), pp. 716–719.
SACSAC-2015-JeongYAYP #algorithm #interactive #search-based #using
Inference of disease-specific gene interaction network using a Bayesian network learned by genetic algorithm (DJ, YY, JA, YY, SP), pp. 47–53.
SACSAC-2015-KatsalisSPKT
Content placement in heterogeneous end-to-end virtual networks (KK, VS, TP, TK, LT), pp. 602–608.
SACSAC-2015-Khan #multi
Multi-criteria based vertical handover decision in heterogeneous wireless network (MK), pp. 720–721.
SACSAC-2015-LagoMM #estimation #power management
High speed network impacts and power consumption estimation for cloud data centers (DGdL, ERMM, DM), pp. 615–620.
SACSAC-2015-LevoratoDFF #algorithm #social
An ILS algorithm to evaluate structural balance in signed social networks (ML, LMdAD, YF, RMVdF), pp. 1117–1122.
SACSAC-2015-LiZL #mobile #personalisation #social
Integrating mobile sensing and social network for personalized health-care application (HL, QZ, KL), pp. 527–534.
SACSAC-2015-LopesFBM #communication #named #smarttech
SMARTFlow: a solution for autonomic management and control of communication networks for smart grids (YL, NCF, CAMB, DCMS), pp. 2212–2217.
SACSAC-2015-Lopez-CasadoPCM #named #novel
GlSch: a novel scheduler for a heterogeneous telescope network (MCLC, CJPdP, JCC, VFM, GOL, AJCT, JS, EM, JM, SK, FMS), pp. 2263–2270.
SACSAC-2015-MarquesRPSM #coordination #named
NVL: a coordination language for unmanned vehicle networks (ERBM, MR, JP, JBS, FM), pp. 331–334.
SACSAC-2015-MatlCD #effectiveness
Effective manycast messaging for Kademlia network (LM, TC, MJD), pp. 646–652.
SACSAC-2015-PerkusichMSGAP #approach #metric
A Bayesian network approach to assist on the interpretation of software metrics (MP, AM, LCeS, KCG, HOdA, AP), pp. 1498–1503.
SACSAC-2015-RajtmajerGMS #behaviour #game studies #online #social
An evolutionary game model for the spread of non-cooperative behavior in online social networks (SMR, CG, DM, ACS), pp. 1154–1159.
SACSAC-2015-TroisMBF
From software defined network to network defined for software (CT, MM, LCEDB, MDDF), pp. 665–668.
SACSAC-2015-Valverde-Rebaza #modelling #naive bayes #online #predict #social
A naïve Bayes model based on ovelapping groups for link prediction in online social networks (JCVR, AV, LB, TdPF, AdAL), pp. 1136–1141.
SACSAC-2015-ZappatoreLB #composition #contract #representation
SLA composition in service networks: a tool for representing relationships between SLAs and contracts (MZ, AL, MAB), pp. 1219–1224.
ASPLOSASPLOS-2015-TanQCAP #named #using
DIABLO: A Warehouse-Scale Computer Network Simulator using FPGAs (ZT, ZQ, XC, KA, DAP), pp. 207–221.
CASECASE-2015-ButtersGS #detection
Detecting and reducing redundancy in alarm networks (TDB, SG, JLS), pp. 1224–1229.
CASECASE-2015-ChengTLCH #algorithm #modelling #optimisation
Modeling and optimizing tensile strength and yield point on steel bar by artificial neural network with evolutionary algorithm (CKC, JTT, TTL, JHC, KSH), pp. 1562–1563.
CASECASE-2015-DepariFLS #industrial
Inexpensive SDR-based longwave radio controlled clock for time dissemination in industrial wireless sensor networks (AD, AF, ML, ES), pp. 125–130.
CASECASE-2015-DobslawGZ #challenge #industrial #using
Challenges for the use of data aggregation in industrial Wireless Sensor Networks (FD, MG, TZ), pp. 138–144.
CASECASE-2015-JiYA #automation #mobile #re-engineering
Automatic calibration and trajectory reconstruction of mobile robot in camera sensor network (YJ, AY, HA), pp. 206–211.
CASECASE-2015-KanCLY #automation #health #internet #mobile #towards
Mobile sensing and network analytics for realizing smart automated systems towards health Internet of Things (CK, YC, FL, HY), pp. 1072–1077.
CASECASE-2015-KanY #image #modelling #monitoring
Network models for monitoring high-dimensional image profiles (CK, HY), pp. 1078–1083.
CASECASE-2015-SrinivasanBSSR #automation #machine learning #modelling #using
Modelling time-varying delays in networked automation systems with heterogeneous networks using machine learning techniques (SS, FB, GS, BS, SR), pp. 362–368.
CASECASE-2015-UrgilesAC #design #development #web
Lighting control actuator design and development for a ZigBee network with a Web server mounted on Raspberry Pi (MVU, PEA, DPCT), pp. 714–719.
CASECASE-2015-YuAGB #industrial #metric
Realization and measurements of industrial wireless sensor and actuator networks (KY, , MG, MB), pp. 131–137.
DACDAC-2015-CavigelliMB #embedded #realtime
Accelerating real-time embedded scene labeling with convolutional networks (LC, MM, LB), p. 6.
DACDAC-2015-CongGHRY #architecture
On-chip interconnection network for accelerator-rich architectures (JC, MG, YH, GR, BY), p. 6.
DACDAC-2015-LiuKDK #data access #reduction
Network footprint reduction through data access and computation placement in NoC-based manycores (JL, JK, WD, MTK), p. 6.
DACDAC-2015-NishimiyaSS #evaluation #functional #interface #mockup #modelling
Evaluation of functional mock-up interface for vehicle power network modeling (KN, TS, SS), p. 6.
DACDAC-2015-ShreejithF #embedded #generative #security
Security aware network controllers for next generation automotive embedded systems (SS, SAF), p. 6.
DACDAC-2015-ZhanOGZ0 #approach #named #power management #towards
DimNoC: a dim silicon approach towards power-efficient on-chip network (JZ, JO, FG, JZ, YX), p. 6.
DATEDATE-2015-BalboniFB #configuration management #distributed #latency #multi #scalability #using
Synergistic use of multiple on-chip networks for ultra-low latency and scalable distributed routing reconfiguration (MB, JF, DB), pp. 806–811.
DATEDATE-2015-DengFDWLTINLCW #fault #hardware
Retraining-based timing error mitigation for hardware neural networks (JD, YF, ZD, YW, HL, OT, PI, DN, XL, YC, CW), pp. 593–596.
DATEDATE-2015-JiRML #hardware #implementation #logic #probability #using
A hardware implementation of a radial basis function neural network using stochastic logic (YJ, FR, CM, DJL), pp. 880–883.
DATEDATE-2015-MirhosseiniSFMS #energy
An energy-efficient virtual channel power-gating mechanism for on-chip networks (AM, MS, AF, MM, HSA), pp. 1527–1532.
DATEDATE-2015-MundhenkSLFC #authentication #lightweight
Lightweight authentication for secure automotive networks (PM, SS, ML, SAF, SC), pp. 285–288.
DATEDATE-2015-PsarrasSND #named #performance #scheduling
PhaseNoC: TDM scheduling at the virtual-channel level for efficient network traffic isolation (AP, IS, CN, GD), pp. 1090–1095.
DATEDATE-2015-TangXLLCWY #question
Spiking neural network with RRAM: can we use it for real-world application? (TT, LX, BL, RL, YC, YW, HY), pp. 860–865.
DATEDATE-2015-ThangamuthuCCL #analysis
Analysis of ethernet-switch traffic shapers for in-vehicle networking applications (ST, NC, PJLC, JJL), pp. 55–60.
DATEDATE-2015-ZhangWTYX #approximate #framework #named
ApproxANN: an approximate computing framework for artificial neural network (QZ, TW, YT, FY, QX), pp. 701–706.
HPCAHPCA-2015-ChrysosMRBV #named
SCOC: High-radix switches made of bufferless clos networks (NC, CM, MR, CB, BV), pp. 402–414.
HPCAHPCA-2015-FujiwaraKOMC
Augmenting low-latency HPC network with free-space optical links (IF, MK, TO, HM, HC), pp. 390–401.
HPCAHPCA-2015-WonKKJPS #scalability
Overcoming far-end congestion in large-scale networks (JW, GK, JK, TJ, MP, SS), pp. 415–427.
HPDCHPDC-2015-PokeH #named #replication #state machine
DARE: High-Performance State Machine Replication on RDMA Networks (MP, TH), pp. 107–118.
PDPPDP-2015-BlaskiewiczZBD #gpu #parallel
An Application of GPU Parallel Computing to Power Flow Calculation in HVDC Networks (PB, MZ, PB, PD), pp. 635–641.
PDPPDP-2015-FedorchenkoKC #analysis #database #design #security
Design of Integrated Vulnerabilities Database for Computer Networks Security Analysis (AF, IVK, AC), pp. 559–566.
PDPPDP-2015-HenrioMM #named #process
pNets: An Expressive Model for Parameterised Networks of Processes (LH, EM, MM), pp. 492–496.
PDPPDP-2015-LundKETLHF #data flow #execution #platform #process
Execution of Dataflow Process Networks on OpenCL Platforms (WL, SK, JE, LT, JL, JH, UF), pp. 618–625.
PDPPDP-2015-NgyenJDHDPT #framework #named
FIST: A Framework to Interleave Spiking Neural Networks on CGRAs (TN, SMAHJ, MD, AH, SD, JP, HT), pp. 751–758.
STOCSTOC-2015-Czumaj #permutation #random #using
Random Permutations using Switching Networks (AC), pp. 703–712.
TACASTACAS-2015-GiacobbeGGHPP #model checking
Model Checking Gene Regulatory Networks (MG, CCG, AG, TAH, TP, TP), pp. 469–483.
TACASTACAS-2015-NamjoshiT #analysis #process
Analysis of Dynamic Process Networks (KSN, RJT), pp. 164–178.
CAVCAV-2015-AbateBCK #adaptation #analysis #markov
Adaptive Aggregation of Markov Chains: Quantitative Analysis of Chemical Reaction Networks (AA, LB, MC, MZK), pp. 195–213.
CAVCAV-2015-FisherKPW #execution
Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data (JF, ASK, NP, SW), pp. 544–560.
ICTSSICTSS-2015-KitaharaNSFA #capacity #evaluation
A Practical Evaluation Method of Network Traffic Load for Capacity Planning (TK, SN, MS, NF, SA), pp. 263–268.
ECSAECSA-2014-BerardinelliMP #analysis #design #performance
fUML-Driven Design and Performance Analysis of Software Agents for Wireless Sensor Network (LB, ADM, SP), pp. 324–339.
HTHT-2014-AbbasiZTL #social
Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks (MAA, RZ, JT, HL), pp. 200–205.
HTHT-2014-ChelaruHNS #communication
Recognizing skill networks and their specific communication and connection practices (SC, EH, KDN, PS), pp. 13–23.
HTHT-2014-Hidalgo #big data #comprehension #development #social #visualisation
Big data visualization engines for understanding the development of countries, social networks, culture and cities (CAH), p. 3.
HTHT-2014-WenLTP #twitter
Twitter in academic conferences: usage, networking and participation over time (XW, YRL, CT, DP), pp. 285–290.
HTHT-2014-ZhangBR #analysis #empirical #social #social media
Empirical analysis of implicit brand networks on social media (KZ, SB, SR), pp. 190–199.
JCDLJCDL-2014-AkbarSFF #deduction #education #library #recommendation #social
Recommendation based on Deduced Social Networks in an educational digital library (MA, CAS, WF, EAF), pp. 29–38.
JCDLJCDL-2014-BarkerBM #library
Vector-Borne Disease Network digital library (MB, DB, NM), pp. 435–436.
JCDLJCDL-2014-CostaQW #repository #research
Research networks in data repositories (MRC, JQ, JW), pp. 403–406.
JCDLJCDL-2014-LarsonPT #named #social #towards
SNAC: The Social Networks and Archival Context project — Towards an archival authority cooperative (RRL, DP, AT), pp. 427–428.
JCDLJCDL-2014-LiuYGSG #approach #mining #recommendation
Full-text based context-rich heterogeneous network mining approach for citation recommendation (XL, YY, CG, YS, LG), pp. 361–370.
PODSPODS-2014-AmelootKNZ #declarative #fine-grained
Weaker forms of monotonicity for declarative networking: a more fine-grained answer to the calm-conjecture (TJA, BK, FN, DZ), pp. 64–75.
SIGMODSIGMOD-2014-ChenLWXML #algorithm #performance #query
Efficient algorithms for optimal location queries in road networks (ZC, YL, RCWW, JX, GM, CL), pp. 123–134.
SIGMODSIGMOD-2014-Dev #algorithm #community #detection #interactive #online #social
A user interaction based community detection algorithm for online social networks (HD), pp. 1607–1608.
SIGMODSIGMOD-2014-FengCBM #online #social
In search of influential event organizers in online social networks (KF, GC, SSB, SM), pp. 63–74.
SIGMODSIGMOD-2014-LevinK #pipes and filters #social #using
Stratified-sampling over social networks using mapreduce (RL, YK), pp. 863–874.
SIGMODSIGMOD-2014-PolychroniouSR #distributed
Track join: distributed joins with minimal network traffic (OP, RS, KAR), pp. 1483–1494.
SIGMODSIGMOD-2014-ShenHW #probability #web
A probabilistic model for linking named entities in web text with heterogeneous information networks (WS, JH, JW), pp. 1199–1210.
SIGMODSIGMOD-2014-ShiMWC #clustering
Density-based place clustering in geo-social networks (JS, NM, DW, DWC), pp. 99–110.
SIGMODSIGMOD-2014-TaoBHJWNELRS #automation #named
NewsNetExplorer: automatic construction and exploration of news information networks (FT, GB, JH, HJ, CW, BN, AEK, JL, XR, YS), pp. 1091–1094.
SIGMODSIGMOD-2014-XiongHN #approach #distributed #performance #query
A software-defined networking based approach for performance management of analytical queries on distributed data stores (PX, HH, JFN), pp. 955–966.
SIGMODSIGMOD-2014-ZhangCPSX #named
PrivBayes: private data release via bayesian networks (JZ, GC, CMP, DS, XX), pp. 1423–1434.
VLDBVLDB-2014-HuangBJW #realtime #scalability
Large Scale Real-time Ridesharing with Service Guarantee on Road Networks (YH, FB, RJ, XSW), pp. 2017–2028.
VLDBVLDB-2014-JiangFWX #distance #query
Hop Doubling Label Indexing for Point-to-Point Distance Querying on Scale-Free Networks (MJ, AWCF, RCWW, YX), pp. 1203–1214.
VLDBVLDB-2014-KongLH #named #social #social media
SPOT: Locating Social Media Users Based on Social Network Context (LK, ZL, YH), pp. 1681–1684.
VLDBVLDB-2014-KorulaL #algorithm #performance #social
An efficient reconciliation algorithm for social networks (NK, SL), pp. 377–388.
VLDBVLDB-2014-SongSZZ #framework #named #novel
PRESS: A Novel Framework of Trajectory Compression in Road Networks (RS, WS, BZ, YZ), pp. 661–672.
VLDBVLDB-2014-XiongH #distributed #named #performance #query
Pronto: A Software-Defined Networking based System for Performance Management of Analytical Queries on Distributed Data Stores (PX, HH), pp. 1661–1664.
SIGITESIGITE-2014-SchmidtHM #education #physics
A virtualized testbed with physical outlets for hands-on computer networking education (MS, FH, MM), pp. 3–8.
SIGITESIGITE-2014-Suthaharan #education #experience #named #question
FLaSKU — a classroom experience with teaching computer networking: is it useful to others in the field? (SS), pp. 15–20.
SIGITESIGITE-2014-Trabelsi #approach #comprehension #education #security #using
Enhancing the comprehension of network sniffing attack in information security education using a hands-on lab approach (ZT), pp. 39–44.
SIGITESIGITE-2014-WangBM #design #education #lessons learnt
Teaching a networking class for freshmen: course design and lessons learned (YW, TB, MM), pp. 9–14.
ICPCICPC-2014-ThungLOC #classification #design #diagrams #metric #using
Condensing class diagrams by analyzing design and network metrics using optimistic classification (FT, DL, MHO, MRVC), pp. 110–121.
ICALPICALP-v1-2014-KontogiannisZ #distance
Distance Oracles for Time-Dependent Networks (SCK, CDZ), pp. 713–725.
ICALPICALP-v1-2014-MertziosNRS #interactive #memory management
Determining Majority in Networks with Local Interactions and Very Small Local Memory (GBM, SEN, CR, PGS), pp. 871–882.
ICALPICALP-v2-2014-AschnerK #bound #constraints #modelling
Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints (RA, MJK), pp. 387–398.
ICALPICALP-v2-2014-AvinBLP #axiom #design #distributed
Distributed Computing on Core-Periphery Networks: Axiom-Based Design (CA, MB, ZL, DP), pp. 399–410.
ICALPICALP-v2-2014-ChalopinDLP #fault tolerance
Fault-Tolerant Rendezvous in Networks (JC, YD, AL, AP), pp. 411–422.
ICALPICALP-v2-2014-DamsHK #learning
Jamming-Resistant Learning in Wireless Networks (JD, MH, TK), pp. 447–458.
ICALPICALP-v2-2014-EmekSW
Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs (YE, JS, RW), pp. 183–195.
LATALATA-2014-ArroyoCMP
Networks of Polarized Evolutionary Processors Are Computationally Complete (FA, SGC, VM, SP), pp. 101–112.
LATALATA-2014-BreveglieriCM #parsing
Shift-Reduce Parsers for Transition Networks (LB, SCR, AM), pp. 222–235.
LATALATA-2014-BundalaZ #sorting
Optimal Sorting Networks (DB, JZ), pp. 236–247.
LATALATA-2014-Martos-SalgadoR #petri net
Expressiveness of Dynamic Networks of Timed Petri Nets (MMS, FRV), pp. 516–527.
FMFM-2014-AntoninoSW #analysis #concurrent #csp #process #refinement
A Refinement Based Strategy for Local Deadlock Analysis of Networks of CSP Processes (PRGA, AS, JW), pp. 62–77.
SEFMSEFM-2014-PardoS #framework #policy #privacy #social
A Formal Privacy Policy Framework for Social Networks (RP, GS), pp. 378–392.
CoGCIG-2014-AsensioDC #evolution
Evolving Artificial Neural Networks applied to generate virtual characters (JMLA, JPD, PC0), pp. 1–5.
CoGCIG-2014-SzubertJ #difference #game studies #learning
Temporal difference learning of N-tuple networks for the game 2048 (MGS, WJ), pp. 1–8.
GT-VMTGT-VMT-2014-HusseinHDS #adaptation #modelling
Modelling Adaptive Networks: The Case of the Petrified Voters (MH, RH, VD, PS).
CHICHI-2014-BachPF #matrix #visualisation
Visualizing dynamic networks with matrix cubes (BB, EP, JDF), pp. 877–886.
CHICHI-2014-BurkeK #facebook #social
Growing closer on facebook: changes in tie strength through social network site use (MB, REK), pp. 4187–4196.
CHICHI-2014-DaviesLCEFKS #personalisation #pervasive #privacy
Personalisation and privacy in future pervasive display networks (ND, ML, SC, IE, AF, TK, BS), pp. 2357–2366.
CHICHI-2014-ForlinesMGB #crowdsourcing #predict #social
Crowdsourcing the future: predictions made with a social network (CF, SM, LG, RB), pp. 3655–3664.
CHICHI-2014-Hale #multi #twitter
Global connectivity and multilinguals in the Twitter network (SAH), pp. 833–842.
CHICHI-2014-LaureyssensCCMCM #approach #component #composition #game studies #named
ZWERM: a modular component network approach for an urban participation game (TL, TC, LC, PM, JC, AVM), pp. 3259–3268.
CHICHI-2014-McGookinBC #social
Studying digital graffiti as a location-based social network (DKM, SAB, GC), pp. 3269–3278.
CHICHI-2014-NorvalAH #recommendation #social #what
What’s on your mind?: investigating recommendations for inclusive social networking and older adults (CN, JLA, VLH), pp. 3923–3932.
CHICHI-2014-Smith-ClarkeMC #communication #mobile #using
Poverty on the cheap: estimating poverty maps using aggregated mobile communication networks (CSC, AJM, LC), pp. 511–520.
CHICHI-2014-WuA #online #social #visual notation
Visually impaired users on an online social network (SW, LAA), pp. 3133–3142.
CSCWCSCW-2014-BackstromK #analysis #facebook #social
Romantic partnerships and the dispersion of social ties: a network analysis of relationship status on facebook (LB, JMK), pp. 831–841.
CSCWCSCW-2014-ForteDMA #online #social #student #what
What do teens ask their online social networks?: social search practices among high school students (AF, MD, RMM, DEA), pp. 28–37.
CSCWCSCW-2014-GanglbauerFSG #case study #community #social
Think globally, act locally: a case study of a free food sharing community and social networking (EG, GF, ÖS, FG), pp. 911–921.
CSCWCSCW-2014-LingelNB #online
City, self, network: transnational migrants and online identity work (JL, MN, DB), pp. 1502–1510.
CSCWCSCW-2014-MarlowD #design #development #social
From rookie to all-star: professional development in a graphic design social networking site (JM, LD), pp. 922–933.
CSCWCSCW-2014-Morris #social #women
Social networking site use by mothers of young children (MRM), pp. 1272–1282.
CSCWCSCW-2014-Oeldorf-HirschHMTG #social
To search or to ask: the routing of information needs between traditional search engines and social networks (AOH, BH, MRM, JT, DG), pp. 16–27.
CSCWCSCW-2014-ZhangCG #evolution #social
Creepy but inevitable?: the evolution of social networking (HZ, MDC, JG), pp. 368–378.
HCIDHM-2014-ZhangGBD #industrial
Application of Bayesian Networks in Consumer Service Industry and Healthcare (LZ, YG, BB, VGD), pp. 484–495.
HCIDUXU-DI-2014-ArfaaW14a #social #usability
A Usability Study on Elder Adults Utilizing Social Networking Sites (JA, Y(W), pp. 50–61.
HCIDUXU-DI-2014-FrankjaerG #hybrid #smarttech
Wearable Networks, Creating Hybrid Spaces with Soft Circuits (TRF, DG), pp. 435–445.
HCIDUXU-ELAS-2014-Abdullah #monitoring #simulation
Simulation of Wireless Sensor Network for Flood Monitoring System (MA), pp. 255–264.
HCIDUXU-ELAS-2014-EmilianoSFBP
Traffic Management in Rural Networks (RE, FS, LF, JB, AP), pp. 452–461.
HCIHCI-AS-2014-Moallem
Home Networking: Smart but Complicated (AM), pp. 731–741.
HCIHIMI-AS-2014-JiangLLC #identification #sequence
Neural Networks for Identifying Civil Pilot’s Operation Sequences (ZJ, QL, YL, BC), pp. 241–252.
HCIHIMI-AS-2014-MaeshiroM #process
Polyhedron Network Model to Describe Creative Processes (TM, MM), pp. 535–545.
HCIHIMI-DE-2014-MatsunagaY #documentation
Digital Document Network System for Organizing Individual Knowledge (KM, KY), pp. 396–403.
HCIHIMI-DE-2014-PinheiroCM #social
Increasing Information Auditability for Social Network Users (AP, CC, CM), pp. 536–547.
HCIHIMI-DE-2014-ValdezSZH #clustering #platform #research #scalability #social #visualisation
Enhancing Interdisciplinary Cooperation by Social Platforms — Assessing the Usefulness of Bibliometric Social Network Visualization in Large-Scale Research Clusters (ACV, AKS, MZ, AH), pp. 298–309.
HCILCT-TRE-2014-BaldiniKLT #social #trust
European Citizens and Their Trust in Social Networks (GB, IK, JL, MT), pp. 363–374.
HCILCT-TRE-2014-OliveiraM #learning #research
Digital Identity of Researchers and Their Personal Learning Network (NRO, LM), pp. 467–477.
HCISCSM-2014-AbdallaY #online #overview #process #social #using
A Review of Using Online Social Networks for Investigative Activities (AA, SYY), pp. 3–12.
HCISCSM-2014-AhnMHNHPM #analysis #representation #semantics #social #twitter
Social Network Representation and Dissemination of Pre-Exposure Prophylaxis (PrEP): A Semantic Network Analysis of HIV Prevention Drug on Twitter (ZA, MM, JH, YN, CWH, MP, JM), pp. 160–169.
HCISCSM-2014-AlvesMA #gamification #guidelines #mobile #social
Guidelines for the Gamification in Mobile Social Networks (FPA, CM, JCA), pp. 559–570.
HCISCSM-2014-FardounAC #education #representation #social #student
Representing Students Curriculum in Social Networks (HMF, AA, APC), pp. 48–58.
HCISCSM-2014-FawziS #gender #online #social
An Investigation into Gender Role Conformity in an Online Social Networking Environment (AF, AS), pp. 322–330.
HCISCSM-2014-Fu #microblog #social
Can Network Help Chinese Microblogs Diffuse? Analyzing 118 Networks of Reposts About Social Issues in China (KwF), pp. 331–341.
HCISCSM-2014-HuangG #empirical #health #social #using
Exploring Health Care Professionals’ Attitudes of Using Social Networking Sites for Health Care: An Empirical Study (ZH, NG), pp. 365–372.
HCISCSM-2014-Kanawati #community #detection
Seed-Centric Approaches for Community Detection in Complex Networks (RK), pp. 197–208.
HCISCSM-2014-LeeLS #approach #social
A New Approach to Exploring Spatiotemporal Space in the Context of Social Network Services (JGL, KCL, DHS), pp. 221–228.
HCISCSM-2014-PensasVGKKCV #communication #social #using
Using Ambient Communication and Social Networking Technologies to Reduce Loneliness of Elders (HP, AMV, MG, TK, SK, SC, JV), pp. 91–102.
HCISCSM-2014-SchaarVZELJ #motivation #social #using
Reasons for Using Social Networks Professionally — The Influence of User Diversity on Usage Motivation (AKS, ACV, MZ, DE, AKL, EMJ), pp. 385–396.
HCISCSM-2014-ShiLYLC #development #social #validation
The Development and Validation of the Social Network Sites (SNSs) Usage Questionnaire (YS, YLLL, ZY, YL, HC), pp. 113–124.
HCISCSM-2014-TurnerH #social #what
What Does Your Profile Picture Say About You? The Accuracy of Thin-Slice Personality Judgments from Social Networking Sites Made at Zero-Acquaintance (MT, NH), pp. 506–516.
CAiSECAiSE-2014-BennacerJPQ #social
Matching User Profiles Across Social Networks (NB, CNJ, AP, GQ), pp. 424–438.
CAiSECAiSE-2014-StulpnagelOS #logic #markov #risk management
IT Risk Management with Markov Logic Networks (JvS, JO, JS), pp. 301–315.
CAiSECAiSE-2014-VergneS #community #markov #open source #using
Expert Finding Using Markov Networks in Open Source Communities (MV, AS), pp. 196–210.
ICEISICEIS-v1-2014-CoelhoAABB #using
Router Nodes Positioning for Wireless Networks Using Artificial Immune Systems (PHGC, JLMdA, JFMdA, LFdAB, AVdB), pp. 415–421.
ICEISICEIS-v1-2014-SilvaSMMS #branch #design #heuristic #problem
A Heuristic Procedure with Local Branching for the Fixed Charge Network Design Problem with User-optimal Flow (PHGS, LGS, CAdJM, PYPM, ES), pp. 384–394.
ICEISICEIS-v1-2014-TimoteoVF #analysis #case study #dataset #project management
Evaluating Artificial Neural Networks and Traditional Approaches for Risk Analysis in Software Project Management — A Case Study with PERIL Dataset (CT, MV, SF), pp. 472–479.
ICEISICEIS-v2-2014-AlanneKN #development #enterprise
Networks of Pain in ERP Development (AA, TK, EN), pp. 257–266.
ICEISICEIS-v2-2014-KaramtiTG #image #process #retrieval #using
Vectorization of Content-based Image Retrieval Process Using Neural Network (HK, MT, FG), pp. 435–439.
ICEISICEIS-v2-2014-LiuDT #reliability
Auditing Data Reliability in International Logistics — An Application of Bayesian Networks (LL, HAMD, RT), pp. 707–712.
ICEISICEIS-v2-2014-VieiraJF #analysis
A Risk Analysis Method for Selecting Service Providers in P2P Service Overlay Networks (RGV, OCAJ, AF), pp. 477–488.
CIKMCIKM-2014-DahimeneCM #named #recommendation #social
RecLand: A Recommender System for Social Networks (RD, CC, CdM), pp. 2063–2065.
CIKMCIKM-2014-FangZTSFSDZL #behaviour #game studies #modelling #social
Modeling Paying Behavior in Game Social Networks (ZF, XZ, JT, WS, ACMF, LS, YD, LZ, JL), pp. 411–420.
CIKMCIKM-2014-GuiSHB #modelling #multi #topic
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
CIKMCIKM-2014-JiaDGZ #analysis #community
Analysis on Community Variational Trend in Dynamic Networks (XJ, ND, JG, AZ), pp. 151–160.
CIKMCIKM-2014-LiuXCXTY #approach #bound #linear #scalability #social
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach (QL, BX, EC, HX, FT, JXY), pp. 171–180.
CIKMCIKM-2014-LiuXD #mining #predict
Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining (YL, SX, LD), pp. 1649–1658.
CIKMCIKM-2014-LuciaF #classification #knowledge-based #named
EgoCentric: Ego Networks for Knowledge-based Short Text Classification (WL, EF), pp. 1079–1088.
CIKMCIKM-2014-LuSY #identification #social
Identifying Your Customers in Social Networks (CTL, HHS, PSY), pp. 391–400.
CIKMCIKM-2014-MahdabiC #mining #recommendation #retrieval
Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation (PM, FC), pp. 1659–1668.
CIKMCIKM-2014-PfeifferNB #learning #probability #using
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference (JJPI, JN, PNB), pp. 639–648.
CIKMCIKM-2014-PhanDXPK #analysis #health #physics #process #social
Analysis of Physical Activity Propagation in a Health Social Network (NP, DD, XX, BP, DK), pp. 1329–1338.
CIKMCIKM-2014-RahmanH #strict #using
Sampling Triples from Restricted Networks using MCMC Strategy (MR, MAH), pp. 1519–1528.
CIKMCIKM-2014-ShaoKTG #case study #complexity #distance #navigation #query
Travel distance versus navigation complexity: a study on different spatial queries on road networks (JS, LK, ET, LG), pp. 1791–1794.
CIKMCIKM-2014-ShenJ #information management #multi #online #social
Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks (YS, HJ), pp. 381–390.
CIKMCIKM-2014-ShihKRCGSP #component #detection
Component Detection in Directed Networks (YKS, SK, YR, JC, AG, TS, SP), pp. 1729–1738.
CIKMCIKM-2014-ShiWLYW #clustering
Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection (CS, RW, YL, PSY, BW), pp. 699–708.
CIKMCIKM-2014-SpirinHDKB #analysis #facebook #graph #online #people #query #scalability #social
People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs (NVS, JH, MD, KGK, MB), pp. 1009–1018.
CIKMCIKM-2014-WangWC #community #detection #named #social
CoDEM: An Ingenious Tool of Insight into Community Detection in Social Networks (MW, CW, JC), pp. 2006–2008.
CIKMCIKM-2014-YuX #interactive #learning #predict #scalability #social
Learning Interactions for Social Prediction in Large-scale Networks (XY, JX), pp. 161–170.
ECIRECIR-2014-LiakosPS #locality #on the #social
On the Effect of Locality in Compressing Social Networks (PL, KP, MS), pp. 650–655.
ECIRECIR-2014-LuoGWL #algorithm #classification #named #novel
HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks (CL, RG, ZW, CL), pp. 210–221.
ECIRECIR-2014-ZhangZWS #recommendation
Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks (CZ, XZ, KW, JS), pp. 39–50.
ICMLICML-c1-2014-PinheiroC
Recurrent Convolutional Neural Networks for Scene Labeling (PHOP, RC), pp. 82–90.
ICMLICML-c1-2014-RooshenasL #interactive #learning
Learning Sum-Product Networks with Direct and Indirect Variable Interactions (AR, DL), pp. 710–718.
ICMLICML-c1-2014-ZhouT #generative #predict #probability
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction (JZ, OGT), pp. 745–753.
ICMLICML-c2-2014-AndoniPV0 #learning
Learning Polynomials with Neural Networks (AA, RP, GV, LZ), pp. 1908–1916.
ICMLICML-c2-2014-AziziAG #composition #learning
Learning Modular Structures from Network Data and Node Variables (EA, EA, JEG), pp. 1440–1448.
ICMLICML-c2-2014-BengioLAY #generative #probability
Deep Generative Stochastic Networks Trainable by Backprop (YB, EL, GA, JY), pp. 226–234.
ICMLICML-c2-2014-CarlssonMRS #clustering #symmetry
Hierarchical Quasi-Clustering Methods for Asymmetric Networks (GEC, FM, AR, SS), pp. 352–360.
ICMLICML-c2-2014-CelikLL #estimation #performance #reduction
Efficient Dimensionality Reduction for High-Dimensional Network Estimation (SC, BAL, SIL), pp. 1953–1961.
ICMLICML-c2-2014-ChakrabartiFCM #multi #scalability
Joint Inference of Multiple Label Types in Large Networks (DC, SF, JC, SAM), pp. 874–882.
ICMLICML-c2-2014-DaneshmandGSS #algorithm #complexity
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm (HD, MGR, LS, BS), pp. 793–801.
ICMLICML-c2-2014-DuLBS #information management #learning
Influence Function Learning in Information Diffusion Networks (ND, YL, MFB, LS), pp. 2016–2024.
ICMLICML-c2-2014-GravesJ #recognition #speech #towards
Towards End-To-End Speech Recognition with Recurrent Neural Networks (AG, NJ), pp. 1764–1772.
ICMLICML-c2-2014-GregorDMBW
Deep AutoRegressive Networks (KG, ID, AM, CB, DW), pp. 1242–1250.
ICMLICML-c2-2014-LevineK #learning #optimisation #policy
Learning Complex Neural Network Policies with Trajectory Optimization (SL, VK), pp. 829–837.
ICMLICML-c2-2014-LindermanA #process
Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.
ICMLICML-c2-2014-MnihG #learning
Neural Variational Inference and Learning in Belief Networks (AM, KG), pp. 1791–1799.
ICMLICML-c2-2014-PandeyD #learning
Learning by Stretching Deep Networks (GP, AD), pp. 1719–1727.
ICMLICML-c2-2014-SuGR #predict
Structured Prediction of Network Response (HS, AG, JR), pp. 442–450.
ICMLICML-c2-2014-WuCLY #behaviour #consistency #learning #predict #social
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks (SHW, HHC, KHL, PSY), pp. 298–306.
ICPRICPR-2014-AlvaroSB
Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks (FA, JAS, JMB), pp. 2944–2949.
ICPRICPR-2014-ByeonLB #2d #classification #using
Texture Classification Using 2D LSTM Networks (WB, ML, TMB), pp. 1144–1149.
ICPRICPR-2014-ChenWCN #detection #fault #modelling
Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection (JC, YW, HC, PN), pp. 1266–1271.
ICPRICPR-2014-DongPHLDJ #classification #using
Vehicle Type Classification Using Unsupervised Convolutional Neural Network (ZD, MP, YH, TL, YD, YJ), pp. 172–177.
ICPRICPR-2014-DuHZWD #case study #classification #design #online #recognition #using
A Study of Designing Compact Classifiers Using Deep Neural Networks for Online Handwritten Chinese Character Recognition (JD, JSH, BZ, SW, LRD), pp. 2950–2955.
ICPRICPR-2014-FuscoEM #data analysis #locality
Bad Data Analysis with Sparse Sensors for Leak Localisation in Water Distribution Networks (FF, BE, SM), pp. 3642–3647.
ICPRICPR-2014-GoldhammerDBGS
Pedestrian’s Trajectory Forecast in Public Traffic with Artificial Neural Networks (MG, KD, UB, AG, BS), pp. 4110–4115.
ICPRICPR-2014-HafemannOC #recognition #using
Forest Species Recognition Using Deep Convolutional Neural Networks (LGH, LSO, PRC), pp. 1103–1107.
ICPRICPR-2014-HuangHWW #clustering
Deep Embedding Network for Clustering (PH, YH, WW, LW), pp. 1532–1537.
ICPRICPR-2014-HuangW0T #framework
A General Nonlinear Embedding Framework Based on Deep Neural Network (YH, WW, LW, TT), pp. 732–737.
ICPRICPR-2014-IosifidisTP #classification
Semi-supervised Classification of Human Actions Based on Neural Networks (AI, AT, IP), pp. 1336–1341.
ICPRICPR-2014-IwahoriFWB #image
Neural Network Based Image Modification for Shape from Observed SEM Images (YI, KF, RJW, MKB), pp. 2131–2136.
ICPRICPR-2014-KangKYLD #classification #documentation #image
Convolutional Neural Networks for Document Image Classification (LK, JK, PY, YL, DSD), pp. 3168–3172.
ICPRICPR-2014-KunwarPB #online #recognition
Semi-supervised Online Bayesian Network Learner for Handwritten Characters Recognition (RK, UP, MB), pp. 3104–3109.
ICPRICPR-2014-OGormanLY #multi #process
Creating a Unified, Wide-Area Activity Map for Multi-camera Networks (LO, DL, GY), pp. 4588–4593.
ICPRICPR-2014-RosaCJPFT #clustering #on the #using
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering (GHR, KAPC, LAPJ, JPP, AXF, JMRST), pp. 1472–1477.
ICPRICPR-2014-SunHJC #detection #image #robust
Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks (LS, QH, WJ, KC), pp. 2715–2720.
ICPRICPR-2014-TsuchiyaMT
Exemplar Network: A Generalized Mixture Model (CT, TM, AT), pp. 598–603.
ICPRICPR-2014-Wilson #graph #modelling
Graph Signatures for Evaluating Network Models (RCW), pp. 100–105.
ICPRICPR-2014-WuHYWT #image #segmentation
Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation (ZW, YH, YY, LW, TT), pp. 1538–1543.
ICPRICPR-2014-XuS #learning #using
Bayesian Network Structure Learning Using Causality (ZX, SNS), pp. 3546–3551.
KDDKDD-2014-00020GMB #community #on the
On the permanence of vertices in network communities (TC, SS, NG, AM, SB), pp. 1396–1405.
KDDKDD-2014-AkibaMK #analysis
Network structural analysis via core-tree-decomposition Publication of this article pending inquiry (TA, TM, KiK), pp. 1476–1485.
KDDKDD-2014-BensonRS #learning #multi #scalability
Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDDKDD-2014-DongYTYC #mobile #social
Inferring user demographics and social strategies in mobile social networks (YD, YY, JT, YY, NVC), pp. 15–24.
KDDKDD-2014-EmbarPB #framework
A bayesian framework for estimating properties of network diffusions (VRE, RKP, IB), pp. 1216–1225.
KDDKDD-2014-GhoshTLY #community #difference
The interplay between dynamics and networks: centrality, communities, and cheeger inequality (RG, SHT, KL, XY), pp. 1406–1415.
KDDKDD-2014-GuSJWC #estimation #topic
Topic-factorized ideal point estimation model for legislative voting network (YG, YS, NJ, BW, TC), pp. 183–192.
KDDKDD-2014-HerodotouDBOF #locality #realtime #scalability
Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDDKDD-2014-JinKSDGCPR #community #geometry #modelling #social #using
Modeling mass protest adoption in social network communities using geometric brownian motion (FJ, RPK, NS, ERD, SG, FC, BAP, NR), pp. 1660–1669.
KDDKDD-2014-KhalilDS #optimisation #scalability
Scalable diffusion-aware optimization of network topology (EBK, BND, LS), pp. 1226–1235.
KDDKDD-2014-KurashimaITS #probability #visualisation
Probabilistic latent network visualization: inferring and embedding diffusion networks (TK, TI, NT, HS), pp. 1236–1245.
KDDKDD-2014-NiTFZ #ranking
Inside the atoms: ranking on a network of networks (JN, HT, WF, XZ), pp. 1356–1365.
KDDKDD-2014-PurohitPKZS #performance #scalability
Fast influence-based coarsening for large networks (MP, BAP, CK, YZ, VSS), pp. 1296–1305.
KDDKDD-2014-RozenshteinAGT #detection #process
Event detection in activity networks (PR, AA, AG, NT), pp. 1176–1185.
KDDKDD-2014-ShakarianSPB #social #source code
Reducing gang violence through network influence based targeting of social programs (PS, JS, WP, JB), pp. 1829–1836.
KDDKDD-2014-SintosT #social #using
Using strong triadic closure to characterize ties in social networks (SS, PT), pp. 1466–1475.
KDDKDD-2014-SpasojevicYRB #multi #named #scalability #social #topic
LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDDKDD-2014-SunSTLKTY #behaviour #collaboration
Analyzing expert behaviors in collaborative networks (HS, MS, ST, YL, LMK, ST, XY), pp. 1486–1495.
KDDKDD-2014-WangHYL #multi #named
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
KDDKDD-2014-XiaoCT
Differentially private network data release via structural inference (QX, RC, KLT), pp. 911–920.
KDDKDD-2014-XuWCGSKDL #data mining #delivery #mining #social
Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good (JX, TLW, NVC, EKG, KS, RPK, JMD, DML), pp. 1699–1708.
KDDKDD-2014-ZhangCSWZ #probability #set #social
Minimizing seed set selection with probabilistic coverage guarantee in a social network (PZ, WC, XS, YW, JZ), pp. 1306–1315.
KDDKDD-2014-ZhangTMF #learning
Supervised deep learning with auxiliary networks (JZ, GT, YM, WF), pp. 353–361.
KDDKDD-2014-ZhouL #classification #mining #multi
Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.
KDDKDD-2014-ZhuSY #analysis #mining #social
Network mining and analysis for social applications (FZ, HS, XY), p. 1974.
KDIRKDIR-2014-JohnsonC #clustering #identification
Mathematical Foundations of Networks Supporting Cluster Identification (JEJ, JWC), pp. 277–285.
KMISKMIS-2014-GuerrucciDAB #approach #information management
Phased Approach to a Knowledge Management Network (DG, RMD, RCA, DB), pp. 101–108.
KMISKMIS-2014-LambriniA14a #challenge #information management #ontology
Challenges and Directions for Knowledge Management in Networks of Aligned Ontologies (SL, KA), pp. 146–152.
KMISKMIS-2014-UrwinPCCPPY #ontology
Reference Ontologies for Global Production Networks (ENU, CP, AFCD, FSC, JMPS, SPG, RIMY), pp. 133–139.
KRKR-2014-BenferhatT #nondeterminism #reasoning
Reasoning with Uncertain Inputs in Possibilistic Networks (SB, KT).
MLDMMLDM-2014-FuMD #classification #multi #performance #towards
Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier (SF, SM, MCD), pp. 16–30.
MLDMMLDM-2014-JavedA #classification #dataset #social #using
Creation of Bi-lingual Social Network Dataset Using Classifiers (IJ, HA), pp. 523–533.
MLDMMLDM-2014-OtteLK #memory management #pattern matching #pattern recognition #problem #recognition
Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems (SO, ML, DK), pp. 484–497.
MLDMMLDM-2014-SandovalH #learning #using
Learning of Natural Trading Strategies on Foreign Exchange High-Frequency Market Data Using Dynamic Bayesian Networks (JS, GH), pp. 408–421.
RecSysRecSys-2014-BhattacharyaZGGG #social #twitter
Inferring user interests in the Twitter social network (PB, MBZ, NG, SG, KPG), pp. 357–360.
RecSysRecSys-2014-GaoTL #personalisation #recommendation #social
Personalized location recommendation on location-based social networks (HG, JT, HL), pp. 399–400.
RecSysRecSys-2014-Vahedian #hybrid #recommendation
Weighted hybrid recommendation for heterogeneous networks (FV), pp. 429–432.
RecSysRecSys-2014-ZhangOFL #modelling #scalability #social
Scalable audience targeted models for brand advertising on social networks (KZ, AMO, SF, HL), pp. 341–344.
SEKESEKE-2014-CheMLC #online #protocol #runtime #testing
Testing Network Protocols: formally, at runtime and online (XC, SM, JL, ARC), pp. 90–93.
SEKESEKE-2014-JiangWZD #online #social
Forwarding Links without Browsing Links in Online Social Networks (JJ, XW, LZ, YD), pp. 636–641.
SEKESEKE-2014-WangGZ #predict #using
Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (YW, JG, ZZ), pp. 501–506.
SIGIRSIGIR-2014-AnilSS #evolution #kernel #modelling #social #using
Modeling evolution of a social network using temporalgraph kernels (AA, NS, SRS), pp. 1051–1054.
SIGIRSIGIR-2014-BianYC #microblog #predict
Predicting trending messages and diffusion participants in microblogging network (JB, YY, TSC), pp. 537–546.
SIGIRSIGIR-2014-HuangTK #distance #people
The role of network distance in linkedin people search (SWH, DT, KK), pp. 867–870.
SIGIRSIGIR-2014-NguyenL #microblog #on the #predict
On predicting religion labels in microblogging networks (MTN, EPL), pp. 1211–1214.
SIGIRSIGIR-2014-Song #enterprise #multi #online #social #volunteer
Enrichment of user profiles across multiple online social networks for volunteerism matching for social enterprise (XS), p. 1282.
SKYSKY-2014-ExmanN #performance #recommendation #social
Location-based Fast Recommendation Social Network (IE, EN), pp. 55–62.
HILTHILT-2014-RathjeR #framework #java #model checking #source code
A framework for model checking UDP network programs with Java pathfinder (WR, BR), pp. 81–86.
PLDIPLDI-2014-BallBGIKSSV #named #source code #towards #verification
VeriCon: towards verifying controller programs in software-defined networks (TB, NB, AG, SI, AK, MS, MS, AV), p. 31.
POPLPOPL-2014-AndersonFGJKSW #named #semantics
NetkAT: semantic foundations for networks (CJA, NF, AG, JBJ, DK, CS, DW), pp. 113–126.
FSEFSE-2014-Lam #named #social
Omlet: a revolution against big-brother social networks (MSL), p. 1.
FSEFSE-2014-Yang #analysis #open source #overview #perspective #social
Social network analysis in open source software peer review (XY), pp. 820–822.
SACSAC-2014-A #authentication #health #mobile #privacy #research #student
Student research abstract: a privacy-preserving profile matching based authentication system for mobile health networks (DHA), pp. 196–197.
SACSAC-2014-BaeLKWP #privacy #social
Analyzing network privacy preserving methods: a perspective of social network characteristics (DHB, JML, SWK, YW, YP), pp. 331–332.
SACSAC-2014-BarddalGE #classification #concept #named #social
SFNClassifier: a scale-free social network method to handle concept drift (JPB, HMG, FE), pp. 786–791.
SACSAC-2014-ChoiKKLK
A new device discovery scheme in lighting control networks (SIC, SJK, IK, SKL, TGK), pp. 1743–1744.
SACSAC-2014-DhanjalC #learning
Learning reputation in an authorship network (CD, SC), pp. 1724–1726.
SACSAC-2014-FanC #approximate #framework #scalability #social
An approximate framework for scaling social influence computation in large networks (YCF, HC), pp. 610–615.
SACSAC-2014-GomesBM #similarity
A similarity model for virtual networks negotiation (RLG, LFB, ERMM), pp. 489–494.
SACSAC-2014-HuangLD #analysis #delivery #modelling #multi #performance
Modeling and analysis on network performance for cloud service delivery with multiple paths (JH, JL, QD), pp. 667–673.
SACSAC-2014-KimK #community #detection #mobile #social
A detection of overlapping community in mobile social network (PK, SK), pp. 175–179.
SACSAC-2014-KimKYP #online #social
Sampling in online social networks (SWK, KNK, SHY, SP), pp. 845–849.
SACSAC-2014-LiuCM #ad hoc #approach #composition #mobile
A low-latency service composition approach in mobile ad hoc networks (CL, JC, FLM), pp. 509–511.
SACSAC-2014-MazelFF #comparison #detection #diagrams #visual notation
Visual comparison of network anomaly detectors with chord diagrams (JM, RF, KF), pp. 473–480.
SACSAC-2014-ParkH #analysis #performance
Performance analysis of the golden-SM in the V2V network (MCP, DSH), pp. 1739–1740.
SACSAC-2014-ParkY #multi #simulation #smarttech
Encountering smartphones in network simulation: a preliminary result on multi-radio multicast (YP, WY), pp. 1727–1728.
SACSAC-2014-PengST #case study #development #mobile #social
Success factors in mobile social networking application development: case study of instagram (RP, DS, WTT), pp. 1072–1079.
SACSAC-2014-PessinOUWMV #evolution #learning #self
Self-localisation in indoor environments combining learning and evolution with wireless networks (GP, FSO, JU, DFW, RCM, PAV), pp. 661–666.
SACSAC-2014-RossiLR #algorithm #classification #using
A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification (RGR, AAL, SOR), pp. 79–84.
SACSAC-2014-SeffrinRJ #algebra
A dynamic bayesian network for inference of learners’ algebraic knowledge (HMS, GLR, PAJ), pp. 235–240.
SACSAC-2014-SeoKTC #analysis #framework #social
A structural analysis of literary fictions with social network framework (JS, SHK, HT, HGC), pp. 634–640.
SACSAC-2014-TesfayHBO #architecture #communication
Cyber-secure communication architecture for active power distribution networks (TTT, JPH, JYLB, PO), pp. 545–552.
SACSAC-2014-WangW
Wavelength resources based lightpath-level active rerouting in all-optical WDM networks (SWW, CYW), pp. 495–500.
SACSAC-2014-WangWPSC #collaboration #process
A collaborative processes synchronization method with regards to system crashes and network failures (LW, AW, LFP, MvS, CC), pp. 1393–1398.
SACSAC-2014-WangZC #composition #energy #framework
An energy-aware service composition framework for service-oriented wireless sensor networks (TW, KZ, LC), pp. 408–410.
SACSAC-2014-YoonY #authentication #using
A biometric-based authenticated key agreement scheme using ECC for wireless sensor networks (EJY, KYY), pp. 699–705.
SACSAC-2014-ZeilemakerSP #scalability
Large-scale message synchronization in challenged networks (NZ, BS, JAP), pp. 481–488.
CASECASE-2014-ChenLY #distributed #modelling
Sparse particle filtering for modeling space-time dynamics in distributed sensor networks (YC, GL, HY), pp. 626–631.
CASECASE-2014-HaoLGC #effectiveness #flexibility #markov #nondeterminism #problem #scheduling
An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty (XCH, LL, MG, CFC), pp. 131–136.
CASECASE-2014-LinHC #gesture #recognition #using
Human hand gesture recognition using a convolution neural network (HIL, MHH, WKC), pp. 1038–1043.
CASECASE-2014-YenLLKWH #in the cloud #industrial
Advanced manufacturing solution to industry 4.0 trend through sensing network and Cloud Computing technologies (CTY, YCL, CCL, CCK, WBW, YRH), pp. 1150–1152.
DACDAC-2014-AdirGGS #generative #testing #using
Using a High-Level Test Generation Expert System for Testing In-Car Networks (AA, AG, LG, TS), p. 6.
DACDAC-2014-AxerTED #bound #performance
Exploiting Shaper Context to Improve Performance Bounds of Ethernet AVB Networks (PA, DT, RE, JD), p. 6.
DACDAC-2014-HuangYST #assessment #grid #power management
Physics-based Electromigration Assessment for Power Grid Networks (XH, TY, VS, SXDT), p. 6.
DACDAC-2014-HuWTT #hardware #monitoring #security
System-Level Security for Network Processors with Hardware Monitors (KH, TW, TT, RT), p. 6.
DACDAC-2014-LiangC #analysis #clustering #named #probability #reduction #scalability #smarttech
ClusRed: Clustering and Network Reduction Based Probabilistic Optimal Power Flow Analysis for Large-Scale Smart Grids (YL, DC), p. 6.
DACDAC-2014-QuintonBHNNE #analysis #design
Typical Worst Case Response-Time Analysis and its Use in Automotive Network Design (SQ, TTB, JH, MN, MN, RE), p. 6.
DACDAC-2014-RenMRZ #fault tolerance #using
Fault-tolerant Routing for On-chip Network Without Using Virtual Channels (PR, QM, XR, NZ), p. 6.
DACDAC-2014-ZhuangWLC #distributed #framework #named #simulation
MATEX: A Distributed Framework for Transient Simulation of Power Distribution Networks (HZ, SHW, JHL, CKC), p. 6.
DATEDATE-2014-0002LLCXY #big data #data analysis #energy #performance
Energy efficient neural networks for big data analytics (YW, BL, RL, YC, NX, HY), pp. 1–2.
DATEDATE-2014-BahrebarS #approach
Improving hamiltonian-based routing methods for on-chip networks: A turn model approach (PB, DS), pp. 1–4.
DATEDATE-2014-BaiS
Isochronous networks by construction (YB, KS), pp. 1–6.
DATEDATE-2014-BanagaayaAST #order #reduction
Implicit index-aware model order reduction for RLC/RC networks (NB, GA, WHAS, CT), pp. 1–6.
DATEDATE-2014-CasamassimaFB #power management
Context aware power management for motion-sensing body area network nodes (FC, EF, LB), pp. 1–6.
DATEDATE-2014-Huang14a #manycore #performance #predict
Leveraging on-chip networks for efficient prediction on multicore coherence (LH), pp. 1–4.
DATEDATE-2014-KordesVDW #detection #fault #hybrid #robust
Startup error detection and containment to improve the robustness of hybrid FlexRay networks (AK, BV, AKD, MGW), pp. 1–6.
DATEDATE-2014-MaliukM #framework #prototype
An analog non-volatile neural network platform for prototyping RF BIST solutions (DM, YM), pp. 1–6.
DATEDATE-2014-MottaghiRD #framework #named #performance
RETLab: A fast design-automation framework for arbitrary RET networks (MDM, AR, CD), pp. 1–6.
DATEDATE-2014-SarmaD #estimation #runtime
Minimal sparse observability of complex networks: Application to MPSoC sensor placement and run-time thermal estimation & tracking (SS, ND), pp. 1–6.
DATEDATE-2014-SeylerSWSGT #self
A self-propagating wakeup mechanism for point-to-point networks with partial network support (JRS, TS, JW, MS, MG, JT), pp. 1–6.
DATEDATE-2014-VillenaS #analysis #performance #variability
Efficient analysis of variability impact on interconnect lines and resistor networks (JFV, LMS), pp. 1–6.
DATEDATE-2014-WettinMKYPH #evaluation #performance
Performance evaluation of wireless NoCs in presence of irregular network routing strategies (PW, JM, RK, XY, PPP, DHH), pp. 1–6.
DATEDATE-2014-ZhangAJC #manycore
Thermal management of manycore systems with silicon-photonic networks (TZ, JLA, AJ, AKC), pp. 1–6.
DATEDATE-2014-ZygmontowiczDCP
Making it harder to unlock an LSIB: Honeytraps and misdirection in a P1687 network (AZ, JD, AC, JCP), pp. 1–6.
HPCAHPCA-2014-AnsariMXT #energy #named
Tangle: Route-oriented dynamic voltage minimization for variation-afflicted, energy-efficient on-chip networks (AA, AKM, JX, JT), pp. 440–451.
HPCAHPCA-2014-WonCGHS #learning #online #power management
Up by their bootstraps: Online learning in Artificial Neural Networks for CMP uncore power management (JYW, XC, PG, JH, VS), pp. 308–319.
HPDCHPDC-2014-ChenZJ #community #locality #named #online #performance #social
CBL: exploiting community based locality for efficient content search in online social networks (HC, FZ, HJ), pp. 299–304.
HPDCHPDC-2014-MuCWZ #replication #state machine
When paxos meets erasure code: reduce network and storage cost in state machine replication (SM, KC, YW, WZ), pp. 61–72.
HPDCHPDC-2014-PrisacariRHCMH #nearest neighbour #performance
Efficient task placement and routing of nearest neighbor exchanges in dragonfly networks (BP, GR, PH, DC, CM, TH), pp. 129–140.
OSDIOSDI-2014-KimHZHWWS #abstraction #gpu #named #source code
GPUnet: Networking Abstractions for GPU Programs (SK, SH, XZ, YH, AW, EW, MS), pp. 201–216.
PDPPDP-2014-BenzaidSB #protocol
An Enhanced Secure Pairwise Broadcast Time Synchronization Protocol in Wireless Sensor Networks (CB, AS, NB), pp. 569–573.
PDPPDP-2014-DamP #independence #process
Location Independent Routing in Process Network Overlays (MD, KP), pp. 715–724.
PDPPDP-2014-GhazelS #novel
A Novel QoS-Aware Method Based on Resource Control and Management in NGN Networks (CG, LAS), pp. 288–291.
PDPPDP-2014-GogolevM #classification #random
Density Classification in Asynchronous Random Networks with Faulty Nodes (AG, LM), pp. 256–261.
PDPPDP-2014-Hadim #communication #concurrent #multi #performance
The Multi-level Communication: Minimal Deadlock-Free and Storage Efficient Routing for Torus Networks (MBH), pp. 44–51.
PDPPDP-2014-MinarolliF #distributed #resource management #virtual machine
Distributed Resource Allocation to Virtual Machines via Artificial Neural Networks (DM, BF), pp. 490–499.
PDPPDP-2014-ShalabyRGFK #communication
Hierarchical Network Coding for Collective Communication on HPC Interconnects (AS, MESR, VG, IF, MK), pp. 98–102.
PDPPDP-2014-ZlydarevaMMOO #clustering
Event-Oriented Focal Weight-Based Clustering for Environmental Wireless Sensor Networks (OZ, BFM, WGM, JJO, GMPO), pp. 170–173.
ESOPESOP-2014-Garnock-JonesTF
The Network as a Language Construct (TGJ, STH, MF), pp. 473–492.
FASEFASE-2014-FiadeiroL
Heterogeneous and Asynchronous Networks of Timed Systems (JLF, AL), pp. 79–93.
FoSSaCSFoSSaCS-2014-BertrandFS #configuration management #game studies
Playing with Probabilities in Reconfigurable Broadcast Networks (NB, PF, AS), pp. 134–148.
STOCSTOC-2014-EneV #algorithm #approximate #bound #design #problem #requirements
Improved approximation algorithms for degree-bounded network design problems with node connectivity requirements (AE, AV), pp. 754–763.
STOCSTOC-2014-KrishnaswamyNPS #approximate #clustering #design #energy #performance
Cluster before you hallucinate: approximating node-capacitated network design and energy efficient routing (RK, VN, KP, CS), pp. 734–743.
TACASTACAS-2014-HerreraWP #query #reduction
Quasi-Equal Clock Reduction: More Networks, More Queries (CH, BW, AP), pp. 295–309.
WRLAWRLA-2014-LiuOM #ad hoc #framework #maude #mobile #realtime
A Framework for Mobile Ad hoc Networks in Real-Time Maude (SL, PCÖ, JM), pp. 162–177.
CAVCAV-2014-HuangFMMK #automaton #hybrid #invariant #verification
Invariant Verification of Nonlinear Hybrid Automata Networks of Cardiac Cells (ZH, CF, AM, SM, MZK), pp. 373–390.
ISSTAISSTA-2014-GotliebM #named #reduction #testing
FLOWER: optimal test suite reduction as a network maximum flow (AG, DM), pp. 171–180.
VMCAIVMCAI-2014-AcunaAMS #approach #complexity #heuristic #modelling
Modeling Parsimonious Putative Regulatory Networks: Complexity and Heuristic Approach (VA, AA, AM, AS), pp. 322–336.
HTHT-2013-HelicSGS #distributed #modelling #navigation
Models of human navigation in information networks based on decentralized search (DH, MS, MG, RS), pp. 89–98.
HTHT-2013-JarukasemratanaML #algorithm #community #detection #distance
Community detection algorithm based on centrality and node distance in scale-free networks (SJ, TM, XL), pp. 258–262.
HTHT-2013-KangL #information management #social
Structural and cognitive bottlenecks to information access in social networks (JHK, KL), pp. 51–59.
ICDARICDAR-2013-AlvaroSB #classification #hybrid #online
Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks (FA, JAS, JMB), pp. 1012–1016.
ICDARICDAR-2013-BlucheNK #feature model #recognition #word
Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition (TB, HN, CK), pp. 285–289.
ICDARICDAR-2013-BreuelUAS #using
High-Performance OCR for Printed English and Fraktur Using LSTM Networks (TMB, AUH, MIAAA, FS), pp. 683–687.
ICDARICDAR-2013-NalisnickB #sentiment
Extracting Sentiment Networks from Shakespeare’s Plays (ETN, HSB), pp. 758–762.
ICDARICDAR-2013-PuriST #learning
Bayesian Network Structure Learning and Inference Methods for Handwriting (MP, SNS, YT), pp. 1320–1324.
ICDARICDAR-2013-SchambachR #learning #sequence
Stabilize Sequence Learning with Recurrent Neural Networks by Forced Alignment (MPS, SFR), pp. 1270–1274.
ICDARICDAR-2013-Ul-HasanARSB #bidirectional #recognition
Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks (AUH, SBA, SFR, FS, TMB), pp. 1061–1065.
JCDLJCDL-2013-SuboticRS #distributed
A distributed archival network for process-oriented autonomic long-term digital preservation (IS, LR, HS), pp. 29–38.
SIGMODSIGMOD-2013-AkibaIY #distance #performance #query #scalability
Fast exact shortest-path distance queries on large networks by pruned landmark labeling (TA, YI, YY), pp. 349–360.
SIGMODSIGMOD-2013-HungBTCZ #named #query #scalability #visual notation
QUBLE: blending visual subgraph query formulation with query processing on large networks (HHH, SSB, BQT, BC, SZ), pp. 1097–1100.
SIGMODSIGMOD-2013-KhuranaD #named #scalability
HiNGE: enabling temporal network analytics at scale (UK, AD), pp. 1089–1092.
SIGMODSIGMOD-2013-MoustafaMDG #analysis #declarative #interactive #named
GRDB: a system for declarative and interactive analysis of noisy information networks (WEM, HM, AD, LG), pp. 1085–1088.
SIGMODSIGMOD-2013-TaoYLBCHKSWWW #analysis #named #research
Research-insight: providing insight on research by publication network analysis (FT, XY, KHL, GB, XC, JH, RK, YS, CW, LW, TW), pp. 1093–1096.
SIGMODSIGMOD-2013-VianaM #named #realtime #social
FriendRouter: real-time path finder in social networks (WV, MMM), pp. 1281–1282.
SIGMODSIGMOD-2013-ZhuMXLTZ #distance #query #theory and practice #towards
Shortest path and distance queries on road networks: towards bridging theory and practice (ADZ, HM, XX, SL, YT, SZ), pp. 857–868.
TPDLTPDL-2013-ReinandaUSR
Entity Network Extraction Based on Association Finding and Relation Extraction (RR, MU, FS, MdR), pp. 156–167.
VLDBVLDB-2013-GionisJLSW #social
Piggybacking on Social Networks (AG, FJ, VL, MS, IW), pp. 409–420.
VLDBVLDB-2013-HendawiBM #framework #named #predict #query #scalability
iRoad: A Framework For Scalable Predictive Query Processing On Road Networks (AMH, JB, MFM), pp. 1262–1265.
VLDBVLDB-2013-HuangCLQY #scalability
Top-K Structural Diversity Search in Large Networks (XH, HC, RHL, LQ, JXY), pp. 1618–1629.
VLDBVLDB-2013-MokbelS #data transformation #perspective #social
Mobility and Social Networking: A Data Management Perspective (MFM, MS), pp. 1196–1197.
VLDBVLDB-2014-BudakGAA13 #detection #named #online #roadmap #social
GeoScope: Online Detection of Geo-Correlated Information Trends in Social Networks (CB, TG, DA, AEA), pp. 229–240.
ITiCSEITiCSE-2013-FeasterAZH #algorithm #education #protocol
Serious toys II: teaching networks, protocols, and algorithms (YF, FA, JZ, JOH), pp. 273–278.
ITiCSEITiCSE-2013-QianYGBT #authentication #learning #mobile #security
Mobile device based authentic learning for computer network and security (KQ, MY, MG, PB, LT), p. 335.
ITiCSEITiCSE-2013-TrabelsiA #education #generative #using
Using network packet generators and snort rules for teaching denial of service attacks (ZT, LA), pp. 285–290.
CSMRCSMR-2013-BorgPR
Analyzing Networks of Issue Reports (MB, DP, PR), pp. 79–88.
CSMRCSMR-2013-SurianTLCL #predict
Predicting Project Outcome Leveraging Socio-Technical Network Patterns (DS, YT, DL, HC, EPL), pp. 47–56.
CSMRCSMR-2013-ThungBLJ #git #social
Network Structure of Social Coding in GitHub (FT, TFB, DL, LJ), pp. 323–326.
MSRMSR-2013-MacLeanK #commit #dataset #social
Apache commits: social network dataset (ACM, CDK), pp. 135–138.
MSRMSR-2013-WagstromJS #dataset #graph #ruby
A network of rails: a graph dataset of ruby on rails and associated projects (PW, CJ, AS), pp. 229–232.
ICALPICALP-v2-2013-HenzingerKN #maintenance
Sublinear-Time Maintenance of Breadth-First Spanning Tree in Partially Dynamic Networks (MH, SK, DN), pp. 607–619.
ICALPICALP-v2-2013-JurdzinskiKS #distributed
Distributed Deterministic Broadcasting in Wireless Networks of Weak Devices (TJ, DRK, GS), pp. 632–644.
ICALPICALP-v2-2013-Kleinberg #algorithm #social
Algorithms, Networks, and Social Phenomena (JMK), pp. 1–3.
ICALPICALP-v2-2013-MertziosMCS #constraints #optimisation
Temporal Network Optimization Subject to Connectivity Constraints (GBM, OM, IC, PGS), pp. 657–668.
ICALPICALP-v2-2013-MertziosS #bound #evolution
Strong Bounds for Evolution in Networks (GBM, PGS), pp. 669–680.
LATALATA-2013-DelzannoT #complexity #decidability #verification
Decidability and Complexity Results for Verification of Asynchronous Broadcast Networks (GD, RT), pp. 238–249.
CoGCIG-2013-Brown #graph #multi #search-based
Examination of graphs in Multiple Agent Genetic Networks for Iterated Prisoner's Dilemma (JAB), pp. 1–8.
CoGCIG-2013-Harrell #case study #modelling #social #using
Modeling player preferences in avatar customization using social network data: A case-study using virtual items in Team Fortress 2 (CUL, DFH), pp. 1–8.
DiGRADiGRA-2013-StokesWFW #collaboration #game studies
A Reality Game to Cross Disciplines: Fostering Networks and Collaboration (BS, JW, TF, SW).
FDGFDG-2013-KoutnikCSG #evolution #scalability
Evolving large-scale neural networks for vision-based TORCS (JK, GC, JS, FJG), pp. 206–212.
FDGFDG-2013-RyanSVC #education #game studies #security #using
Network Nightmares: Using games to teach networks and security (WR, JS, DV, JC), pp. 413–416.
CHICHI-2013-BernsteinBBK #social
Quantifying the invisible audience in social networks (MSB, EB, MB, BK), pp. 21–30.
CHICHI-2013-BrownMR #interactive #multi #named
MultiNet: reducing interaction overhead in domestic wireless networks (AB, RM, TR), pp. 1569–1578.
CHICHI-2013-CurmiFSW13a #named #social
HeartLink: open broadcast of live biometric data to social networks (FC, MAF, JS, JW), pp. 1749–1758.
CHICHI-2013-DunneS #clique #readability #visualisation
Motif simplification: improving network visualization readability with fan, connector, and clique glyphs (CD, BS), pp. 3247–3256.
CHICHI-2013-HillmanNPO #quote #social
“Shared joy is double joy”: the social practices of user networks within group shopping sites (SH, CN, CP, EO), pp. 2417–2426.
CHICHI-2013-HongYKAA #independence #social #using
Investigating the use of circles in social networks to support independence of individuals with autism (HH, SY, JGK, GDA, RIA), pp. 3207–3216.
CHICHI-2013-HowleyN #community
Factors impacting community response in an interest-sharing network (IH, TN), pp. 2283–2286.
CHICHI-2013-ShiXC #bound #social #using
Using contextual integrity to examine interpersonal information boundary on social network sites (PS, HX, YC), pp. 35–38.
CHICHI-2013-SpiliotopoulosO #comprehension #facebook #metric #privacy
Understanding motivations for facebook use: usage metrics, network structure, and privacy (TS, IO), pp. 3287–3296.
CSCWCSCW-2013-BradyZMB #social
Investigating the appropriateness of social network question asking as a resource for blind users (ELB, YZ, MRM, JPB), pp. 1225–1236.
CSCWCSCW-2013-BurtMB
Path dependent network advantage (RSB, JLM, JGB), pp. 1–2.
CSCWCSCW-2013-GaoHZ #how #social
Closure vs. structural holes: how social network information and culture affect choice of collaborators (GG, PJH, CZ), pp. 5–18.
CSCWCSCW-2013-GopalakrishnanHB #distributed #similarity
Voluntary turnover in a distributed work setting: an examination of the role of spatial propinquity and role similarity in project affiliation networks (GMG, DSH, SPB), pp. 329–340.
CSCWCSCW-2013-Heck #social
Combining social information for academic networking (TH), pp. 1387–1398.
CSCWCSCW-2013-LinF #learning
Opportunities via extended networks for teens’ informal learning (PL, SDF), pp. 1341–1352.
CSCWCSCW-2013-RobsonHKP #social #using
Comparing the use of social networking and traditional media channels for promoting citizen science (CR, MAH, CK, JSP), pp. 1463–1468.
HCIDUXU-CXC-2013-Said #social #using
Young Egyptians Use of Social Networks and the January 2011 Revolution (GRES), pp. 38–43.
HCIDUXU-NTE-2013-Gyoda #ad hoc #analysis #communication #evaluation #performance
Analysis and Evaluation of Wireless Ad Hoc Network Performance for a Disaster Communication Model and Scenarios (KG), pp. 65–74.
HCIDUXU-PMT-2013-ChiuT #design #effectiveness #idea #process #social
User Involvement in Idea Brainstorming of Design Process: Finding the Effective Strategy in Social Network Service (SCC, KT), pp. 593–598.
HCIDUXU-PMT-2013-KarahasanovicF #2d #approach #behaviour #experience #modelling
Modelling User Behaviour and Experience — The R2D2 Networks Approach (AK, AF), pp. 506–515.
HCIDUXU-PMT-2013-Moallem
Location, Location, Location: About Home Networking Devices Location and Features (AM), pp. 107–114.
HCIDUXU-WM-2013-Gould
Dot, Line, Network: Helping Individuals Make Sense of “New Data” (EWG), pp. 496–505.
HCIDUXU-WM-2013-Velez-RojasMRGK #enterprise #visualisation
Looking beyond the Single Pane of Glass: Visualization and Perspective in Enterprise Network (MCVR, SM, MR, SG, EK), pp. 581–590.
HCIHCI-AS-2013-FrajhofACLLM #collaboration #framework #learning #platform #social #student #usability
Usability of a Social Network as a Collaborative Learning Platform Tool for Medical Students (LF, ACCA, ATdSC, CJPdL, CAPdL, CRM), pp. 370–375.
HCIHCI-AS-2013-TavaresMFM #case study #experience
Experiences with Arthron for Live Surgery Transmission in Brazilian Telemedicine University Network (TAT, GHMBM, GLdSF, EM), pp. 197–206.
HCIHCI-III-2013-FernandesFMPB #framework
RFID Mesh Network as an Infrastructure for Location Based Services for the Blind (HF, JF, PM, HP, JB), pp. 39–45.
HCIHCI-IMT-2013-HenschenL #design #interface
A Web-Based Interface for a System That Designs Sensor Networks (LJH, JCL), pp. 688–697.
HCIHCI-UC-2013-BelliniBNP #recommendation
A Static and Dynamic Recommendations System for Best Practice Networks (PB, IB, PN, MP), pp. 259–268.
HCIHCI-UC-2013-GuercioMBL #education #experience #named #social
SOCIETY: A Social Reading Application to Join Education and Social Network Experience (EG, FLM, MB, LL), pp. 277–284.
HCIHCI-UC-2013-HayashiKO #empirical #social #trust
An Empirical Investigation of Similarity-Driven Trust Dynamics in a Social Network (YH, VVK, HO), pp. 20–28.
HCIHCI-UC-2013-HermannSTKS #concept #distributed #multi #social #user interface
The di.me User Interface: Concepts for Sharing Personal Information via Multiple Identities in a Decentralized Social Network (FH, AS, ST, CK, SS), pp. 29–38.
HCIHCI-UC-2013-KuramochiOTHN #analysis #community #graph #semantics #twitter #using
Applying to Twitter Networks of a Community Extraction Method Using Intersection Graph and Semantic Analysis (TK, NO, KT, YH, SN), pp. 314–323.
HCIHCI-UC-2013-TsaiHCL #communication #named #online #product line #social #using
Memotree: Using Online Social Networking to Strengthen Family Communication (THT, YLH, HTC, YWL), pp. 359–367.
HCIHIMI-D-2013-Maeshiro #multi
A Model of Living Organisms to Integrate Multiple Relationship Network Descriptions (TM), pp. 475–483.
HCIHIMI-D-2013-YanagimotoSY #classification #estimation #sentiment #using #word
Word Classification for Sentiment Polarity Estimation Using Neural Network (HY, MS, AY), pp. 669–677.
HCIHIMI-HSM-2013-ByerD #mobile
BARMOTIN- A Voice Controlled Mobile Tourism Information Network for Barbados (DB, CD), pp. 347–354.
HCIHIMI-HSM-2013-ChenHCK #design #social #usability
Usability Study of Icon Designs with Social Network Functions (CHC, WHH, SCC, YYK), pp. 355–362.
HCIHIMI-LCCB-2013-BoltonS #collaboration #design #education #social #tool support
Social Networking and Culturally Situated Design Teaching Tools: Providing a Collaborative Environment for K-12 (ATB, CDS), pp. 3–8.
HCIOCSC-2013-AdlerA #social
The Influence of Social Networking Sites on Participation in the 2012 Presidential Election (RFA, WDA), pp. 233–239.
HCIOCSC-2013-AdnanHAT #analysis #behaviour #eye tracking #online #social
Eye Tracking Analysis of User Behavior in Online Social Networks (WAWA, WNHH, NA, JT), pp. 113–119.
HCIOCSC-2013-BramanVDWRT #education #perspective #social
Teaching about the Impacts of Social Networks: An End of Life Perspective (JB, GV, AD, YW, KR, UT), pp. 240–249.
HCIOCSC-2013-Eustace #learning
Building and Sustaining a Lifelong Adult Learning Network (KE), pp. 260–268.
HCIOCSC-2013-FardounAC #community #education #online #social #student
Improvement of Students Curricula in Educational Environments by Means of Online Communities and Social Networks (HMF, AHA, APC), pp. 147–155.
HCIOCSC-2013-JiangB #approach #case study #multi #social
A Three-Level Approach to the Study of Multi-cultural Social Networking (YJ, OdB), pp. 365–374.
HCIOCSC-2013-LambropoulosTKM #community #framework #platform #semantics
Composites Ideas in COMPOOL Immersion: A Semantics Engineering Innovation Network Community Platform (NL, PT, IK, IM), pp. 385–394.
HCIOCSC-2013-LeeKCC #case study #facebook #online #social
Exploratory Study on Online Social Networks User from SASANG Constitution-Focused on Korean Facebook Users (JYL, HSK, EJC, SJC), pp. 58–66.
HCIOCSC-2013-Meiselwitz #assessment #policy #readability #social
Readability Assessment of Policies and Procedures of Social Networking Sites (GM), pp. 67–75.
HCIOCSC-2013-ShiYH #comprehension #matter #motivation #social
Understanding Social Network Sites (SNSs) Preferences: Personality, Motivation, and Happiness Matters (YS, XY, JH), pp. 94–103.
HCIOCSC-2013-WangA #social #using
Adult Learners and Their Use of Social Networking Sites (Y(W, JA), pp. 222–229.
HCIOCSC-2013-YueSC #social
Who Are Seeking Friends? The Portrait of Stranger-Seeker in Social Network Sites (XY, YS, HC), pp. 120–125.
CAiSECAiSE-2013-AgtK #automation #modelling #scalability #semantics
Automated Construction of a Large Semantic Network of Related Terms for Domain-Specific Modeling (HA, RDK), pp. 610–625.
EDOCEDOC-2013-BraunE #concept #online #overview #risk management #social #towards
Towards a Conceptualization of Corporate Risks in Online Social Networks: A Literature Based Overview of Risks (RB, WE), pp. 267–274.
ICEISICEIS-v1-2013-BarbosaCRM #estimation
Average Speed Estimation for Road Networks based on GPS Raw Trajectories (IB, MAC, CR, JAFdM), pp. 490–497.
ICEISICEIS-v1-2013-CoelhoAABB #industrial
Deploying Nodes for Industrial Wireless Networks by Artificial Immune Systems Techniques (PHGC, JLMdA, JFMdA, LFdAB, AVdB), pp. 536–540.
ICEISICEIS-v1-2013-Santibanez-GonzalezM #novel
A Novel Mathematical Formulation for the Strategic Planning of a Reverse Supply Chain Network — Theoretical and Computational Results (EDRSG, NM), pp. 570–577.
ICEISICEIS-v2-2013-LiL #agile #object-oriented #predict #process #using
Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network (LL, HL), pp. 5–16.
ICEISICEIS-v2-2013-NascimentoVCS #ontology #social
Agent-based Electronic Commerce with Ontology Services and Social Network based Support (VN, MJV, AC, NS), pp. 497–504.
ICEISICEIS-v2-2013-ZhangWSP #linked data #open data #recommendation #social
Event Recommendation in Social Networks with Linked Data Enablement (YZ, HW, VSS, VKP), pp. 371–379.
ICEISICEIS-v3-2013-MalekanA #collaboration #modelling #process
Business Process Modeling Languages Supporting Collaborative Networks (HSM, HA), pp. 258–266.
ICEISICEIS-v3-2013-SzirbikB #architecture
Discovering the EIS Architecture that Supports Hub-and-Spoke Freight Transportation Networks Operating in a Cross Dock Mode (NBS, PB), pp. 388–395.
CIKMCIKM-2013-AkibaIY #linear #random #scalability
Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction (TA, YI, YY), pp. 909–918.
CIKMCIKM-2013-ArifuzzamanKM #algorithm #named #parallel
PATRIC: a parallel algorithm for counting triangles in massive networks (SA, MK, MVM), pp. 529–538.
CIKMCIKM-2013-BarahmandGY #comparison #design #interactive #physics #social
A comparison of two physical data designs for interactive social networking actions (SB, SG, JY), pp. 949–958.
CIKMCIKM-2013-BogdanovS #effectiveness #nearest neighbour #scalability
Accurate and scalable nearest neighbors in large networks based on effective importance (PB, AKS), pp. 1009–1018.
CIKMCIKM-2013-ChenCC #query
Spatial-temporal query homogeneity for KNN object search on road networks (YJC, KTC, MSC), pp. 1019–1028.
CIKMCIKM-2013-FerenceYL #recommendation #social
Location recommendation for out-of-town users in location-based social networks (GF, MY, WCL), pp. 721–726.
CIKMCIKM-2013-GuoZZCG #personalisation #social
Personalized influence maximization on social networks (JG, PZ, CZ, YC, LG), pp. 199–208.
CIKMCIKM-2013-HashemiNB #approach #learning #retrieval #topic
Expertise retrieval in bibliographic network: a topic dominance learning approach (SHH, MN, HB), pp. 1117–1126.
CIKMCIKM-2013-KongZY #multi #social
Inferring anchor links across multiple heterogeneous social networks (XK, JZ, PSY), pp. 179–188.
CIKMCIKM-2013-LiMWLX #on the #online #predict #social
On popularity prediction of videos shared in online social networks (HL, XM, FW, JL, KX), pp. 169–178.
CIKMCIKM-2013-McDowellA #classification
Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks (LM, DWA), pp. 847–852.
CIKMCIKM-2013-MengK
Discovering influential authors in heterogeneous academic networks by a co-ranking method (QM, PJK), pp. 1029–1036.
CIKMCIKM-2013-MirylenkaP #navigation #topic #wiki
Navigating the topical structure of academic search results via the Wikipedia category network (DM, AP), pp. 891–896.
CIKMCIKM-2013-MishraRT #predict #process
Estimating the relative utility of networks for predicting user activities (NM, DMR, PT), pp. 1047–1056.
CIKMCIKM-2013-RongM #social
Diffusion of innovations revisited: from social network to innovation network (XR, QM), pp. 499–508.
CIKMCIKM-2013-TanGC0Z #detection #named #social
UNIK: unsupervised social network spam detection (ET, LG, SC, XZ, YEZ), pp. 479–488.
CIKMCIKM-2013-WangYLZH #summary #topic #word
Content coverage maximization on word networks for hierarchical topic summarization (CW, XY, YL, CZ, JH), pp. 249–258.
CIKMCIKM-2013-ZhangDDC #probability #social
Probabilistic solutions of influence propagation on social networks (MZ, CD, CHQD, EC), pp. 429–438.
CIKMCIKM-2013-ZhaoLHCH #recommendation #social
Community-based user recommendation in uni-directional social networks (GZ, MLL, WH, WC, HH), pp. 189–198.
CIKMCIKM-2013-ZhongLTZ #named #performance
G-tree: an efficient index for KNN search on road networks (RZ, GL, KLT, LZ), pp. 39–48.
CIKMCIKM-2013-ZhuZPWZY #predict #process #social
Predicting user activity level in social networks (YZ, EZ, SJP, XW, MZ, QY), pp. 159–168.
ECIRECIR-2013-ChenC #analysis #multi #topic #using
A Topic Person Multi-polarization Method Using Friendship Network Analysis (ZYC, CCC), pp. 688–692.
ECIRECIR-2013-Franco-SalvadorGR #detection #multi #semantics #using
Cross-Language Plagiarism Detection Using a Multilingual Semantic Network (MFS, PG, PR), pp. 710–713.
ECIRECIR-2013-HegdePH #online #semantics #social
Semantic Tagging of Places Based on User Interest Profiles from Online Social Networks (VH, JXP, MH), pp. 218–229.
ECIRECIR-2013-LagnierDGG #information management #predict #social #using
Predicting Information Diffusion in Social Networks Using Content and User’s Profiles (CL, LD, ÉG, PG), pp. 74–85.
ECIRECIR-2013-NeshatiAHB #classification #social
A Joint Classification Method to Integrate Scientific and Social Networks (MN, EA, DH, HB), pp. 122–133.
ICMLICML-c1-2013-AnandkumarHJK #learning #linear
Learning Linear Bayesian Networks with Latent Variables (AA, DH, AJ, SK), pp. 249–257.
ICMLICML-c1-2013-HeaukulaniG #modelling #probability #social
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks (CH, ZG), pp. 275–283.
ICMLICML-c3-2013-GensD #learning
Learning the Structure of Sum-Product Networks (RG, PMD), pp. 873–880.
ICMLICML-c3-2013-GoodfellowWMCB
Maxout Networks (IJG, DWF, MM, ACC, YB), pp. 1319–1327.
ICMLICML-c3-2013-HerlauMS #evolution #modelling #multi
Modeling Temporal Evolution and Multiscale Structure in Networks (TH, MM, MNS), pp. 960–968.
ICMLICML-c3-2013-KolarLX #estimation #markov #multi
Markov Network Estimation From Multi-attribute Data (MK, HL, EPX), pp. 73–81.
ICMLICML-c3-2013-PascanuMB #on the
On the difficulty of training recurrent neural networks (RP, TM, YB), pp. 1310–1318.
ICMLICML-c3-2013-PeharzTP #generative
The Most Generative Maximum Margin Bayesian Networks (RP, ST, FP), pp. 235–243.
ICMLICML-c3-2013-WanZZLF #using
Regularization of Neural Networks using DropConnect (LW, MDZ, SZ, YL, RF), pp. 1058–1066.
KDDKDD-2013-AbrahaoCKP #complexity
Trace complexity of network inference (BDA, FC, RK, AP), pp. 491–499.
KDDKDD-2013-BeiCDHQ #fault #social
Trial and error in influential social networks (XB, NC, LD, XH, RQ), pp. 1016–1024.
KDDKDD-2013-CiglanLN #community #detection #on the
On community detection in real-world networks and the importance of degree assortativity (MC, ML, KN), pp. 1007–1015.
KDDKDD-2013-CuiJYWZY #approach #data-driven #predict
Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDDKDD-2013-DavidsonGCW #analysis
Network discovery via constrained tensor analysis of fMRI data (IND, SG, OTC, PBW), pp. 194–202.
KDDKDD-2013-ErdosIBT
Repetition-aware content placement in navigational networks (DE, VI, AB, ET), pp. 820–828.
KDDKDD-2013-GetoorM13a
Network sampling (LG, AM), p. 1528.
KDDKDD-2013-KongCY #classification #correlation #mining #multi
Multi-label classification by mining label and instance correlations from heterogeneous information networks (XK, BC, PSY), pp. 614–622.
KDDKDD-2013-KuoYHKL #predict #social #statistics #using
Unsupervised link prediction using aggregative statistics on heterogeneous social networks (TTK, RY, YYH, PHK, SDL), pp. 775–783.
KDDKDD-2013-RanuHS #mining
Mining discriminative subgraphs from global-state networks (SR, MXH, AKS), pp. 509–517.
KDDKDD-2013-ShakarianRCK #community #composition #distance #mining #social
Mining for geographically disperse communities in social networks by leveraging distance modularity (PS, PR, DC, CK), pp. 1402–1409.
KDDKDD-2013-StitelmanPDHRP #detection #online #scalability #using
Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDDKDD-2013-TangWS #confluence #named #scalability #social
Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
KDDKDD-2013-UganderKBK #clustering #graph #multi
Graph cluster randomization: network exposure to multiple universes (JU, BK, LB, JMK), pp. 329–337.
KDDKDD-2013-WengRPGCBSMF #evolution #information management #social
The role of information diffusion in the evolution of social networks (LW, JR, NP, BG, CC, FB, RS, FM, AF), pp. 356–364.
KDDKDD-2013-YangHLC #online #probability #social
Maximizing acceptance probability for active friending in online social networks (DNY, HJH, WCL, WC), pp. 713–721.
KDDKDD-2013-YangWZCZZYMFWLLT #named #scalability #social
SAE: social analytic engine for large networks (YY, JW, YZ, WC, JZ, HZ, ZY, BM, ZF, SW, XL, DL, JT), pp. 1502–1505.
KDDKDD-2013-ZhangWNLWY #how #named #predict #social #visualisation
LAFT-Explorer: inferring, visualizing and predicting how your social network expands (JZ, CW, YN, YL, JW, PSY), pp. 1510–1513.
KDDKDD-2013-ZhaoWYLZ #social
Inferring social roles and statuses in social networks (YZ, GW, PSY, SL, SZ), pp. 695–703.
KDDKDD-2013-ZhongFZY #modelling #social
Modeling the dynamics of composite social networks (EZ, WF, YZ, QY), pp. 937–945.
KDDKDD-2013-ZhouL #clustering #social
Social influence based clustering of heterogeneous information networks (YZ, LL), pp. 338–346.
KDIRKDIR-KMIS-2013-PapulaVH #analysis #enterprise #process
Knowledge Networks as a Source of Knowledge Initiatives and Innovation Activity in Small and Medium Enterprises — Regression Analysis for EU 27 Countries (JP, JV, JH), pp. 389–396.
KEODKEOD-2013-CholewaACR #integration #modelling #multimodal
Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration (WC, MA, PC, TR), pp. 140–147.
MLDMMLDM-2013-HuSAD #performance #statistics
Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data (KH, AS, DA, CD), pp. 601–615.
MLDMMLDM-2013-LiM #community #mining #topic
Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
MLDMMLDM-2013-Suthaharan #big data #classification
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion (SS), pp. 296–310.
RecSysRecSys-2013-BartelD #evolution #social
Evolving friend lists in social networks (JWB, PD), pp. 435–438.
RecSysRecSys-2013-BugaychenkoD #personalisation #recommendation #social
Musical recommendations and personalization in a social network (DB, AD), pp. 367–370.
RecSysRecSys-2013-Ester #recommendation #social
Recommendation in social networks (ME), pp. 491–492.
RecSysRecSys-2013-GaoTHL #recommendation #social
Exploring temporal effects for location recommendation on location-based social networks (HG, JT, XH, HL), pp. 93–100.
RecSysRecSys-2013-PizzatoB #people #recommendation #social
Beyond friendship: the art, science and applications of recommending people to people in social networks (LAP, AB), pp. 495–496.
RecSysRecSys-2013-TiroshiBKCK #predict #social
Cross social networks interests predictions based ongraph features (AT, SB, MAK, TC, TK), pp. 319–322.
RecSysRecSys-2013-YuRSSKGNH #feedback #recommendation
Recommendation in heterogeneous information networks with implicit user feedback (XY, XR, YS, BS, UK, QG, BN, JH), pp. 347–350.
SEKESEKE-2013-GomesPMFNO #comprehension #education #profiling #social
Group Profiling for Understanding Educational Social Networking (JG, RBCP, LM, AAF, ACAN, HO), pp. 101–106.
SEKESEKE-2013-HansenM #analysis #ecosystem #towards
Towards a Network Ecology of Software Ecosystems: an Analysis of two OSGi Ecosystems (KMH, KM), pp. 326–331.
SEKESEKE-2013-ShamsHK #estimation #using
Software Effort Estimation using Regularized Radial Basis Function Neural Networks (KMS, HSH, AK), pp. 473–478.
SEKESEKE-2013-ThommazoOORWF #detection #traceability
Detecting traceability links through neural networks (ADT, TRdO, GO, RR, VW, SF), pp. 36–41.
SEKESEKE-2013-WangWTZ #evaluation #named #recommendation #trust
STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (YW, JW, YT, JZ), pp. 322–325.
SIGIRSIGIR-2013-AslayOAJ
Competition-based networks for expert finding (ÇA, NO, LMA, AJ), pp. 1033–1036.
SIGIRSIGIR-2013-ChaBHC #analysis #modelling #social #topic
Incorporating popularity in topic models for social network analysis (YC, BB, CCH, JC), pp. 223–232.
SIGIRSIGIR-2013-ZhangWYW #learning #predict
Learning latent friendship propagation networks with interest awareness for link prediction (JZ, CW, PSY, JW), pp. 63–72.
SKYSKY-2013-ExmanK #anti #recommendation #social
An Anti-Turing Test: Social Network Friends’ Recommendations (IE, AK), pp. 55–61.
ECMFAECMFA-2013-Ritter
A Network-Centric BPMN Model for Business Network Management (DR), pp. 152–164.
ICMTICMT-2013-VarroD #algorithm #incremental #pattern matching
A Rete Network Construction Algorithm for Incremental Pattern Matching (GV, FD), pp. 125–140.
MODELSMoDELS-2013-PerezGCCC #analysis #modelling #policy #security
Model-Driven Extraction and Analysis of Network Security Policies (SMP, JGA, FC, NCB, JC), pp. 52–68.
SPLCSPLC-2013-KatoKMOHH #case study #development
Case study of applying SPLE to development of network switch products (TK, MK, TM, HO, KH, TH), pp. 198–207.
PLDIPLDI-2013-GuhaRF
Machine-verified network controllers (AG, MR, NF), pp. 483–494.
SASSAS-2013-LammichMSW #automaton
Contextual Locking for Dynamic Pushdown Networks (PL, MMO, HS, AW), pp. 477–498.
RERE-2013-WangLWYZL #debugging #dependence #integration #question #requirements
Can requirements dependency network be used as early indicator of software integration bugs? (JW, JL, QW, DY, HZ, ML), pp. 185–194.
REFSQREFSQ-2013-BencomoB #adaptation #modelling #self
Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks (NB, AB), pp. 221–236.
ICSEICSE-2013-Ell #developer #identification
Identifying failure inducing developer pairs within developer networks (JE), pp. 1471–1473.
ICSEICSE-2013-TamburriLV #community #development
Service networks for development communities (DAT, PL, HvV), pp. 1253–1256.
ICSEICSE-2013-ZanettiSTS #case study #categorisation #community #debugging #open source #social
Categorizing bugs with social networks: a case study on four open source software communities (MSZ, IS, CJT, FS), pp. 1032–1041.
SACSAC-2013-AhmedE #trust
Discovering influential nodes from trust network (SA, CIE), pp. 121–128.
SACSAC-2013-BraunMS
Service-centric networking extensions (TB, AM, VAS), pp. 583–590.
SACSAC-2013-CataldiMA #social
Estimating domain-based user influence in social networks (MC, NM, MAA), pp. 1957–1962.
SACSAC-2013-ChoCC #ad hoc #mobile #trust
Composite trust-based public key management in mobile ad hoc networks (JHC, KSC, IRC), pp. 1949–1956.
SACSAC-2013-CostaBM #detection #social
Detecting tip spam in location-based social networks (HC, FB, LHdCM), pp. 724–729.
SACSAC-2013-FazioR #comparison
Spatial interpolation: an analytical comparison between kriging and RBF networks (VSF, MR), pp. 2–7.
SACSAC-2013-FlushingC #optimisation
A flow-based optimization model for throughput-oriented relay node placement in wireless sensor networks (EFF, GADC), pp. 632–639.
SACSAC-2013-FurtadoC #hybrid #middleware
Sensor streams middleware for easy configuration and processing in hybrid sensor network (PF, JC), pp. 1499–1504.
SACSAC-2013-GoncalvesEPSKS #distributed #on the
On the load balancing of virtual networks in distributed clouds (GEG, PTE, AVdAP, MAS, JK, DS), pp. 625–631.
SACSAC-2013-HoangLCMC #protocol
A backward-compatible protocol for inter-routing over heterogeneous overlay networks (GNH, LL, VC, PM, HNC), pp. 649–651.
SACSAC-2013-HongJ #named #object-oriented #programming language
Meso: an object-oriented programming language for building strongly-typed internet-based network applications (SH, YJJ), pp. 1579–1586.
SACSAC-2013-KimPK #evaluation #grid #performance #smarttech #towards
Towards cosimulating network and electrical systems for performance evaluation in smart grid (HK, WP, HK), pp. 686–687.
SACSAC-2013-KuptsovNGL #metric #novel
A novel demand-aware fairness metric for IEEE 802.11 wireless networks (DK, BN, AG, AL), pp. 603–610.
SACSAC-2013-LyleNIF #web
Extending the web to support personal network services (JL, CN, AI, SF), pp. 711–716.
SACSAC-2013-MaiaB #modelling #performance #predict #query
Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks (JEBM, AB), pp. 554–559.
SACSAC-2013-MeilingSSW #communication #framework #grid #multi #scalability #smarttech #using
A scalable communication infrastructure for smart grid applications using multicast over public networks (SM, TS, TCS, MW), pp. 690–694.
SACSAC-2013-MouraMNS #named #novel
ABOI: a novel strategy to mitigate the blocking due to outdated information in OCS/OBS network (IM, FM, JMN, ACBS), pp. 640–645.
SACSAC-2013-OliveiraBMNBGB #multi
DoS-resilient virtual networks through multipath embedding and opportunistic recovery (RRO, LRB, DSM, MCN, LSB, LPG, MPB), pp. 597–602.
SACSAC-2013-RieckerBH #detection #energy #lightweight
Lightweight energy consumption based intrusion detection system for wireless sensor networks (MR, SB, MH), pp. 1784–1791.
SACSAC-2013-StevensonYDPMV #reasoning #resource management #self #semantics
Combining self-organisation, context-awareness and semantic reasoning: the case of resource discovery in opportunistic networks (GS, JY, SD, DP, SM, MV), pp. 1369–1376.
GPCEGPCE-2013-ChapinSSW #named #programming #staged
Scalaness/nesT: type specialized staged programming for sensor networks (PCC, CS, SFS, MW), pp. 135–144.
CASECASE-2013-DotoliEFPST #realtime
A real time traffic management model for regional railway networks under disturbances (MD, NE, MF, AP, FS, BT), pp. 892–897.
CASECASE-2013-GrosbardKTR #composition #using
A queuing network model for wafer fabrication using decomposition without aggregation (DG, AK, IT, GR), pp. 717–722.
CASECASE-2013-LaSC #mobile
Cooperative and active sensing in mobile sensor networks for scalar field mapping (HML, WS, JC), pp. 831–836.
CASECASE-2013-LinG #detection #framework #optimisation #synthesis
Synthesis and optimization of a Bayesian belief network based observation platform for anomaly detection under partial and unreliable observations (WCL, HEG), pp. 51–58.
CASECASE-2013-MaHS #grid #smarttech
Transmission power allocation for cooperative relay-based neighborhood area networks for smart grid (KM, GH, CJS), pp. 599–604.
CASECASE-2013-VallamSNNN #locality
Topologies of stable strategic networks with localized payoffs (RDV, CAS, YN, RN, SN), pp. 844–849.
CASECASE-2013-YeWZML #approach #optimisation #predict #scalability
A signal split optimization approach based on model predictive control for large-scale urban traffic networks (BLY, WW, XZ, WJM, JL), pp. 904–909.
DACDAC-2013-ChandrikakuttyUTW #hardware #monitoring
High-performance hardware monitors to protect network processors from data plane attacks (HC, DU, RT, TW), p. 6.
DACDAC-2013-Miskov-ZivanovMF #analysis #automation #behaviour #design
Dynamic behavior of cell signaling networks: model design and analysis automation (NMZ, DM, JRF), p. 6.
DACDAC-2013-OnizawaG #clustering #power management #scalability
Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks (NO, WJG), p. 6.
DACDAC-2013-RaiSST #algorithm #analysis #distributed #process
Distributed stable states for process networks: algorithm, analysis, and experiments on intel SCC (DR, LS, NS, LT), p. 10.
DACDAC-2013-ZhangRJ #towards
Towards trustworthy medical devices and body area networks (MZ, AR, NKJ), p. 6.
DATEDATE-2013-AkhlaghiKAP #architecture #performance
An efficient network on-chip architecture based on isolating local and non-local communications (VA, MK, AAK, MP), pp. 350–353.
DATEDATE-2013-DaloukasMETS #approach #delivery #parallel #performance #power management
A parallel fast transform-based preconditioning approach for electrical-thermal co-simulation of power delivery networks (KD, AM, NEE, PT, GIS), pp. 1689–1694.
DATEDATE-2013-DaneshtalabEPT #interface #manycore #named
CARS: congestion-aware request scheduler for network interfaces in NoC-based manycore systems (MD, ME, JP, HT), pp. 1048–1051.
DATEDATE-2013-DiazSSR #analysis #performance #security #simulation
Wireless sensor network simulation for security and performance analysis (AD, PS, JS, JR), pp. 432–435.
DATEDATE-2013-HankMVK
Automotive ethernet: in-vehicle networking and smart mobility (PH, SM, OV, JVdK), pp. 1735–1739.
DATEDATE-2013-HsiehWH #configuration management #distributed #named
DANCE: distributed application-aware node configuration engine in shared reconfigurable sensor networks (CMH, ZW, JH), pp. 839–842.
DATEDATE-2013-LiuLHCLL #clustering #effectiveness #linear #programming #prototype #statistics
Effective power network prototyping via statistical-based clustering and sequential linear programming (SYSL, CJL, CCH, HMC, CTL, CHL), pp. 1701–1706.
DATEDATE-2013-MuradoreQF #predict
Model predictive control over delay-based differentiated services control networks (RM, DQ, PF), pp. 1117–1122.
DATEDATE-2013-RethyDSDG #interface #power management
A low-power and low-voltage BBPLL-based sensor interface in 130nm CMOS for wireless sensor networks (JVR, HD, VDS, WD, GGEG), pp. 1431–1435.
DATEDATE-2013-ShreejithVFL #approach #configuration management #using
An approach for redundancy in FlexRay networks using FPGA partial reconfiguration (SS, KV, SAF, ML), pp. 721–724.
DATEDATE-2013-SparsoKS #interface
An area-efficient network interface for a TDM-based network-on-chip (JS, EK, MS), pp. 1044–1047.
DATEDATE-2013-WangYWZ #3d #configuration management #manycore
3D reconfigurable power switch network for demand-supply matching between multi-output power converters and many-core microprocessors (KW, HY, BW, CZ), pp. 1643–1648.
DATEDATE-2013-YaoKLMK #named #physics
ClockPUF: physical unclonable functions based on clock networks (YY, MK, JL, ILM, FK), pp. 422–427.
DATEDATE-2013-ZhouZY #design #energy #memory management #using
The design of sustainable wireless sensor network node using solar energy and phase change memory (PZ, YZ, JY), pp. 869–872.
HPCAHPCA-2013-ChangHPNXK #named
TS-Router: On maximizing the Quality-of-Allocation in the On-Chip Network (YYC, YSCH, MP, VN, YX, CTK), pp. 390–399.
HPDCHPDC-2013-CostaDOR #3d #clustering #named #stack
CamCubeOS: a key-based network stack for 3D torus cluster topologies (PC, AD, GO, AITR), pp. 73–84.
PDPPDP-2013-DziurzanskiM #automation #case study #recognition #speech
Core Mapping into an Irregular Network on Chip — Features Extraction System for Automatic Speech Recognition Case Study (PD, TM), pp. 494–498.
PDPPDP-2013-EittenbergerSK #analysis #peer-to-peer #streaming
Location-Aware Traffic Analysis of a Peer-to-Peer Streaming Application in a HSPA Network (PME, KMS, URK), pp. 444–448.
PDPPDP-2013-FurnoZ #composition #performance
Efficient Cooperative Discovery of Service Compositions in Unstructured P2P Networks (AF, EZ), pp. 58–67.
PDPPDP-2013-GarbadeWSFU #detection #fault
Impact of Message Based Fault Detectors on Applications Messages in a Network on Chip (AG, SW, SS, BF, TU), pp. 470–477.
PDPPDP-2013-KotenkoSN #framework #simulation
Simulation of Protection Mechanisms Based on “Nervous Network System” against Infrastructure Attacks (IVK, AS, EN), pp. 526–533.
PDPPDP-2013-MoosaviRLPT #3d #communication #multi #performance #protocol #using
Enhancing Performance of 3D Interconnection Networks using Efficient Multicast Communication Protocol (SRM, AMR, PL, JP, HT), pp. 294–301.
PDPPDP-2013-StrakovaG #distributed
A Distributed Eigensolver for Loosely Coupled Networks (HS, WNG), pp. 51–57.
PDPPDP-2013-YebenesEGQ #modelling #towards
Towards Modeling Interconnection Networks of Exascale Systems with OMNet++ (PY, JES, PJG, FJQ), pp. 203–207.
CAVCAV-2013-ClaessenFIPW #model checking #reachability #set
Model-Checking Signal Transduction Networks through Decreasing Reachability Sets (KC, JF, SI, NP, QW), pp. 85–100.
CAVCAV-2013-PauleveAK #approximate #automaton #reachability #scalability #set
Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks (LP, GA, HK), pp. 69–84.
CAVCAV-2013-SosnovichGN #protocol #security #using
Finding Security Vulnerabilities in a Network Protocol Using Parameterized Systems (AS, OG, GN), pp. 724–739.
ICLPICLP-J-2013-KaminskiSSV #logic
Minimal intervention strategies in logical signaling networks with ASP (RK, TS, AS, SV), pp. 675–690.
VMCAIVMCAI-2013-JohnNN #predict
Knockout Prediction for Reaction Networks with Partial Kinetic Information (MJ, MN, JN), pp. 355–374.
VMCAIVMCAI-2013-NamjoshiT #process #symmetry
Uncovering Symmetries in Irregular Process Networks (KSN, RJT), pp. 496–514.
VMCAIVMCAI-2013-ZhengS0LD0 #partial order #reduction #using
State Space Reduction for Sensor Networks Using Two-Level Partial Order Reduction (MZ, DS, JS, YL, JSD, YG), pp. 515–535.
CBSECBSE-2012-PopPOMB #co-evolution #component
Property networks allowing oracle-based mode-change propagation in hierarchical components (TP, FP, MO, MM, TB), pp. 93–102.
HTHT-2012-ChairunnandaFD #graph #modelling #online #social
Graph data partition models for online social networks (PC, SF, KD), pp. 175–180.
HTHT-2012-CravinoDF #clustering #community #using
Using the overlapping community structure of a network of tags to improve text clustering (NC, JLD, ÁF), pp. 239–244.
HTHT-2012-DinhNT #effectiveness #question #social
Cheap, easy, and massively effective viral marketing in social networks: truth or fiction? (TND, DTN, MTT), pp. 165–174.
HTHT-2012-FahlHMS #named #social
TrustSplit: usable confidentiality for social network messaging (SF, MH, TM, MS), pp. 145–154.
HTHT-2012-KlienS #analysis
Short links under attack: geographical analysis of spam in a URL shortener network (FK, MS), pp. 83–88.
HTHT-2012-KunegisSSF #online
Diversity dynamics in online networks (JK, SS, FS, DF), pp. 255–264.
HTHT-2012-Leskovec #navigation
Human navigation in networks (JL), pp. 143–144.
HTHT-2012-LipczakSJ #comprehension #online #social
Understanding and leveraging tag-based relations in on-line social networks (ML, BS, AJ), pp. 229–238.
HTHT-2012-ShenSNT #online #social #trust
Maximizing circle of trust in online social networks (YS, YSS, DTN, MTT), pp. 155–164.
HTHT-2012-SofeanS #architecture #design #detection #evaluation #implementation #realtime #social #using
A real-time architecture for detection of diseases using social networks: design, implementation and evaluation (MS, MS), pp. 309–310.
JCDLJCDL-2012-AkbarSF #deduction #education #library #social
Deduced social networks for an educational digital library (MA, CAS, EAF), pp. 43–46.
JCDLJCDL-2012-DengHLK #modelling #ranking
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking (HD, JH, MRL, IK), pp. 71–80.
JCDLJCDL-2012-SoulierJTB #named
BibRank: a language-based model for co-ranking entities in bibliographic networks (LS, LBJ, LT, WB), pp. 61–70.
JCDLJCDL-2012-TuarobMG #algorithm #using
Improving algorithm search using the algorithm co-citation network (ST, PM, CLG), pp. 277–280.
SIGMODSIGMOD-2012-BarbosaMLO #named #recommendation #visualisation #web
VRRC: web based tool for visualization and recommendation on co-authorship network (EMB, MMM, GRL, JPMdO), p. 865.
SIGMODSIGMOD-2012-ManiuC #collaboration #named #performance #personalisation
Taagle: efficient, personalized search in collaborative tagging networks (SM, BC), pp. 661–664.
SIGMODSIGMOD-2012-MongioviBRSPF #mining #named
SigSpot: mining significant anomalous regions from time-evolving networks (MM, PB, RR, AKS, EEP, CF), p. 865.
SIGMODSIGMOD-2012-SarwatBELMM #named #social
Sindbad: a location-based social networking system (MS, JB, AE, JJL, AM, MFM), pp. 649–652.
SIGMODSIGMOD-2012-Vahdat #data transformation
Symbiosis in scale out networking and data management (AV), pp. 579–580.
VLDBVLDB-2012-AbbadiM #in the cloud #social
Social Networks and Mobility in the Cloud (AEA, MFM), pp. 2034–2035.
VLDBVLDB-2012-LiWC #multi #profiling #social
Multiple Location Profiling for Users and Relationships from Social Network and Content (RL, SW, KCCC), pp. 1603–1614.
VLDBVLDB-2012-LuoLZCG #distributed #keyword #named
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks (SL, YL, SZ, GC, JG), pp. 1966–1969.
VLDBVLDB-2012-SunAH #clustering
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (YS, CCA, JH), pp. 394–405.
VLDBVLDB-2012-SunHYY #analysis #approach #mining
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.
VLDBVLDB-2012-WangC #composition
Truss Decomposition in Massive Networks (JW, JC), pp. 812–823.
VLDBVLDB-2012-WuXDCZZ #distance #evaluation #query
Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation (LW, XX, DD, GC, ADZ, SZ), pp. 406–417.
VLDBVLDB-2013-ZhaoT12 #analysis #scalability #social #visual notation
Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis (FZ, AKHT), pp. 85–96.
ITiCSEITiCSE-2012-MehtaKP #algorithm #learning
Forming project groups while learning about matching and network flows in algorithms (DPM, TMK, IP), pp. 40–45.
ITiCSEITiCSE-2012-XuHT #framework #named #platform
V-lab: a cloud-based virtual laboratory platform for hands-on networking courses (LX, DH, WTT), pp. 256–261.
ICSMEICSM-2012-ChaikalisMC #analysis #evolution #named
SEANets: Software evolution analysis with networks (TC, GM, AC), pp. 634–637.
WCREWCRE-2012-SteidlHJ #analysis #recommendation #using
Using Network Analysis for Recommendation of Central Software Classes (DS, BH, EJ), pp. 93–102.
DLTDLT-J-2011-ChenYSLL12 #multi #set
Minimum Local Disk Cover Sets for Broadcasting in Heterogeneous Multihop Wireless Networks (GC, CWY, MTS, FCL, WCL), pp. 1147–1172.
ICALPICALP-v1-2012-ChekuriEV #design #graph #product line
Node-Weighted Network Design in Planar and Minor-Closed Families of Graphs (CC, AE, AV), pp. 206–217.
ICALPICALP-v2-2012-BhawalkarKLRS #problem #social
Preventing Unraveling in Social Networks: The Anchored k-Core Problem (KB, JMK, KL, TR, AS), pp. 440–451.
ICALPICALP-v2-2012-ChandranGO #fault tolerance
Edge Fault Tolerance on Sparse Networks (NC, JAG, RO), pp. 452–463.
ICALPICALP-v2-2012-DieudonneP
Deterministic Network Exploration by Anonymous Silent Agents with Local Traffic Reports (YD, AP), pp. 500–512.
ICALPICALP-v2-2012-JainMNS #migration #virtual machine
Topology-Aware VM Migration in Bandwidth Oversubscribed Datacenter Networks (NJ, IM, JN, FBS), pp. 586–597.
ICALPICALP-v2-2012-OchelRV #capacity #online
Online Packing with Gradually Improving Capacity Estimations and Applications to Network Lifetime Maximization (MO, KR, BV), pp. 648–659.
ICALPICALP-v2-2012-PelegRT #algorithm #distributed
Distributed Algorithms for Network Diameter and Girth (DP, LR, ET), pp. 660–672.
IFMIFM-2012-CalderS #algebra #case study #process #runtime #verification
Process Algebra for Event-Driven Runtime Verification: A Case Study of Wireless Network Management (MC, MS), pp. 21–23.
IFMIFM-2012-KazemeyniJOB #analysis #modelling #probability
MULE-Based Wireless Sensor Networks: Probabilistic Modeling and Quantitative Analysis (FK, EBJ, OO, IB), pp. 143–157.
IFMIFM-2012-WoehrleBM #anti
Mechanized Extraction of Topology Anti-patterns in Wireless Networks (MW, RB, MRM), pp. 158–173.
CoGCIG-2012-AthanasiadisGT
Progressive neural network training for the Open Racing Car Simulator (CA, DG, AT), pp. 116–123.
CoGCIG-2012-Cussat-BlancSD
Controlling cooperative and conflicting continuous actions with a Gene Regulatory Network (SCB, SS, YD), pp. 187–194.
FDGFDG-2012-MathiasW #evaluation #framework #hybrid #multi #peer-to-peer
Network bandwidth evaluation of a hybrid peer-to-peer massively multiplayer framework (JDM, DW), pp. 65–72.
CoGVS-Games-2012-CarrozzinoEBLB #education #game studies #novel #social #tool support
Social Networks and Web-based Serious Games as Novel Educational Tools (MC, CE, RB, CL, MB), pp. 303–306.
CHICHI-2012-AmershiFW #interactive #machine learning #named #on-demand #social
Regroup: interactive machine learning for on-demand group creation in social networks (SA, JF, DSW), pp. 21–30.
CHICHI-2012-BrechtEBG #analysis #social
Corporate career presences on social network sites: an analysis of hedonic and utilitarian value (FB, AE, CB, OG), pp. 2441–2450.
CHICHI-2012-DunneRLMR #multi #named #scalability
GraphTrail: analyzing large multivariate, heterogeneous networks while supporting exploration history (CD, NHR, BL, RAM, GGR), pp. 1663–1672.
CHICHI-2012-Gilbert #design #social
Designing social translucence over social networks (EG), pp. 2731–2740.
CHICHI-2012-WoelferH #people #social
Homeless young people on social network sites (JPW, DGH), pp. 2825–2834.
CSCWCSCW-2012-GogginsMM #coordination #online
Relief work after the 2010 Haiti earthquake: leadership in an online resource coordination network (SPG, CMM, SM), pp. 57–66.
CSCWCSCW-2012-HongKAA12a #design #independence #social
Designing a social network to support the independence of young adults with autism (HH, JGK, GDA, RIA), pp. 627–636.
CSCWCSCW-2012-KeeganGC #analysis #collaboration #editing #multi #statistics #wiki
Do editors or articles drive collaboration?: multilevel statistical network analysis of wikipedia coauthorship (BK, DG, NSC), pp. 427–436.
CSCWCSCW-2012-NicholsK #social
Asking questions of targeted strangers on social networks (JN, JHK), pp. 999–1002.
CSCWCSCW-2012-PanovichMK #social
Tie strength in question & answer on social network sites (KP, RM, DRK), pp. 1057–1066.
CSCWCSCW-2012-StollEF
Between us and them: building connectedness within civic networks (JS, WKE, KAF), pp. 237–240.
CAiSECAiSE-2012-Razo-ZapataLGA #fuzzy #verification
Fuzzy Verification of Service Value Networks (ISRZ, PDL, JG, HA), pp. 95–110.
CAiSECAiSE-2012-ZawawyKMM #analysis #logic #markov #using
Requirements-Driven Root Cause Analysis Using Markov Logic Networks (HZ, KK, JM, SM), pp. 350–365.
EDOCEDOC-2012-ZhouXDL #difference
Complicated Logistics Network Redesign Considering Service Differentiation (LZ, XX, SD, XL), pp. 93–102.
ICEISICEIS-v1-2012-CoelhoAA #industrial
Node Positioning — Application for Wireless Networks Industrial Plants (PHGC, JLMdA, JFMdA), pp. 291–294.
ICEISICEIS-v1-2012-KlinkmullerMLF #automation #comparison #towards
Towards Automated Logistics Service Comparison — Decision Support for Logistics Network Management (CK, SM, AL, BF), pp. 259–264.
ICEISICEIS-v1-2012-NikovskiEYST #automation #composition
Bayesian Networks for Matcher Composition in Automatic Schema Matching (DN, AE, XY, MS, ST), pp. 48–55.
ICEISICEIS-v3-2012-CarvalhoRACJDM #energy #performance #policy #towards
Towards Sustainable Networks — Energy Efficiency Policy from Business to Device Instance Levels (TCMBC, ACR, MA, CHAC, GCJ, CKD, CM), pp. 238–243.
CIKMCIKM-2012-Baeza-YatesL #exclamation #matter
User engagement: the network effect matters! (RABY, ML), pp. 1–2.
CIKMCIKM-2012-ChiangWD #clustering #normalisation #scalability #using
Scalable clustering of signed networks using balance normalized cut (KYC, JJW, ISD), pp. 615–624.
CIKMCIKM-2012-DhiaAS #named #privacy #social
Primates: a privacy management system for social networks (IBD, TA, MS), pp. 2746–2748.
CIKMCIKM-2012-DinhST #online #privacy #social
The walls have ears: optimize sharing for visibility and privacy in online social networks (TND, YS, MTT), pp. 1452–1461.
CIKMCIKM-2012-DurakPKS #graph #modelling
Degree relations of triangles in real-world networks and graph models (ND, AP, TGK, CS), pp. 1712–1716.
CIKMCIKM-2012-GaoTL #correlation #modelling #named #social
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks (HG, JT, HL), pp. 1582–1586.
CIKMCIKM-2012-GargKL #rating #social
Information propagation in social rating networks (PG, IK, MRL), pp. 2279–2282.
CIKMCIKM-2012-HuangNHT #predict #social #trust
Trust prediction via aggregating heterogeneous social networks (JH, FN, HH, YCT), pp. 1774–1778.
CIKMCIKM-2012-JiaZH #simulation
Non-stationary bayesian networks based on perfect simulation (YJ, WZ, JH), pp. 1095–1104.
CIKMCIKM-2012-KashyapAH #named #personalisation #social
SonetRank: leveraging social networks to personalize search (AK, RA, VH), pp. 2045–2049.
CIKMCIKM-2012-KongYDW #classification
Meta path-based collective classification in heterogeneous information networks (XK, PSY, YD, DJW), pp. 1567–1571.
CIKMCIKM-2012-KootiMGC #online #predict #social
Predicting emerging social conventions in online social networks (FK, WAM, PKG, MC), pp. 445–454.
CIKMCIKM-2012-LiS #process #social
Composing activity groups in social networks (CTL, MKS), pp. 2375–2378.
CIKMCIKM-2012-LiSG #exclamation #online #social
Collective intelligence in the online social network of yahoo!answers and its implications (ZL, HS, JEG), pp. 455–464.
CIKMCIKM-2012-LiWXCS #query #social
Spatial-aware interest group queries in location-based social networks (YL, DW, JX, BC, WS), pp. 2643–2646.
CIKMCIKM-2012-LiYHCS #mvc #robust
Measuring robustness of complex networks under MVC attack (RHL, JXY, XH, HC, ZS), pp. 1512–1516.
CIKMCIKM-2012-LuWZR
Unsupervised discovery of opposing opinion networks from forum discussions (YL, HW, CZ, DR), pp. 1642–1646.
CIKMCIKM-2012-MoroN #named #semantics
WiSeNet: building a wikipedia-based semantic network with ontologized relations (AM, RN), pp. 1672–1676.
CIKMCIKM-2012-ShenDZT #multi #online #social
Interest-matching information propagation in multiple online social networks (YS, TND, HZ, MTT), pp. 1824–1828.
CIKMCIKM-2012-SongKNCXB #social
Discretionary social network data revelation with a user-centric utility guarantee (YS, PK, SN, GC, MX, SB), pp. 1572–1576.
CIKMCIKM-2012-WangHTH #topic
Author-conference topic-connection model for academic network search (JW, XH, XT, TH), pp. 2179–2183.
CIKMCIKM-2012-WangHY #similarity
Influence and similarity on heterogeneous networks (GW, QH, PSY), pp. 1462–1466.
CIKMCIKM-2012-WangZCM #retrieval #using
Top-k retrieval using conditional preference networks (HW, XZ, WC, PM), pp. 2075–2079.
CIKMCIKM-2012-XueKRKP #random #social
Delineating social network data anonymization via random edge perturbation (MX, PK, CR, PK, HKP), pp. 475–484.
CIKMCIKM-2012-YangLCYH #on the #social
On bundle configuration for viral marketing in social networks (DNY, WCL, NHC, MY, HJH), pp. 2234–2238.
CIKMCIKM-2012-YangTKZLDLW #learning #mining
Mining competitive relationships by learning across heterogeneous networks (YY, JT, JK, YZ, JL, YD, TL, LW), pp. 1432–1441.
CIKMCIKM-2012-YuSNMH #similarity #using
User guided entity similarity search using meta-path selection in heterogeneous information networks (XY, YS, BN, TM, JH), pp. 2025–2029.
CIKMCIKM-2012-ZhangS0CB #social
Evaluating geo-social influence in location-based social networks (CZ, LS, KC, GC, YB), pp. 1442–1451.
ECIRECIR-2012-BosmaMW #detection #framework #social
A Framework for Unsupervised Spam Detection in Social Networking Sites (MB, EM, WW), pp. 364–375.
ECIRECIR-2012-DevezasCNR
Studying a Personality Coreference Network in a News Stories Photo Collection (JLD, FC, SN, CR), pp. 485–488.
ICMLICML-2012-BorboudakisT #constraints #graph #information management
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs (GB, IT), p. 59.
ICMLICML-2012-Gomez-RodriguezS
Influence Maximization in Continuous Time Diffusion Networks (MGR, BS), p. 78.
ICMLICML-2012-Gomez-RodriguezS12a #multi
Submodular Inference of Diffusion Networks from Multiple Trees (MGR, BS), p. 206.
ICMLICML-2012-McAfeeO #code generation #static analysis
Utilizing Static Analysis and Code Generation to Accelerate Neural Networks (LCM, KO), p. 192.
ICMLICML-2012-PallaKG #infinity
An Infinite Latent Attribute Model for Network Data (KP, DAK, ZG), p. 55.
ICMLICML-2012-PeharzP #learning
Exact Maximum Margin Structure Learning of Bayesian Networks (RP, FP), p. 102.
ICMLICML-2012-SarkarCJ #parametricity #predict
Nonparametric Link Prediction in Dynamic Networks (PS, DC, MIJ), p. 246.
ICMLICML-2012-TangSH12a
Deep Lambertian Networks (YT, RS, GEH), p. 184.
ICMLICML-2012-WilsonKG #process
Gaussian Process Regression Networks (AGW, DAK, ZG), p. 149.
ICMLICML-2012-YuSL #speech #using
Conversational Speech Transcription Using Context-Dependent Deep Neural Networks (DY, FS, GL), p. 1.
ICPRICPR-2012-AntoniukFH #learning #markov
Learning Markov Networks by Analytic Center Cutting Plane Method (KA, VF, VH), pp. 2250–2253.
ICPRICPR-2012-BurgessKA #locality
Node localization in unsynchronized time of arrival sensor networks (SB, YK, ), pp. 2042–2046.
ICPRICPR-2012-ChenYZZ #bound #detection
Detecting occlusion boundaries via saliency network (DC, ZY, GZ, NZ), pp. 2569–2572.
ICPRICPR-2012-FrinkenZBBFB #memory management #modelling #recognition
Long-short term memory neural networks language modeling for handwriting recognition (VF, FZM, SEB, MJCB, AF, HB), pp. 701–704.
ICPRICPR-2012-GlodekSPS #classification #markov #multi #using
Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks (MG, MS, GP, FS), pp. 1084–1087.
ICPRICPR-2012-KafaiBA #classification #clustering #estimation
Cluster-Classification Bayesian Networks for head pose estimation (MK, BB, LA), pp. 2869–2872.
ICPRICPR-2012-PorwalZG #recognition #using
Handwritten Arabic text recognition using Deep Belief Networks (UP, YZ, VG), pp. 302–305.
ICPRICPR-2012-RaymondMOH #markov
Map matching with Hidden Markov Model on sampled road network (RR, TM, TO, NH), pp. 2242–2245.
ICPRICPR-2012-SankaranJ #recognition #using
Recognition of printed Devanagari text using BLSTM Neural Network (NS, CVJ), pp. 322–325.
ICPRICPR-2012-SermanetCL #classification
Convolutional neural networks applied to house numbers digit classification (PS, SC, YL), pp. 3288–3291.
ICPRICPR-2012-TakalaP #dataset #identification #named #people
CMV100: A dataset for people tracking and re-identification in sparse camera networks (VT, MP), pp. 1387–1390.
ICPRICPR-2012-TangS #independence #learning #performance #testing #using
Efficient and accurate learning of Bayesian networks using chi-squared independence tests (YT, SNS), pp. 2723–2726.
ICPRICPR-2012-WangJ #recognition
Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition (XW, QJ), pp. 3378–3381.
ICPRICPR-2012-WangJ12b #learning #process #recognition
Learning dynamic Bayesian network discriminatively for human activity recognition (XW, QJ), pp. 3553–3556.
ICPRICPR-2012-WangWCN #recognition
End-to-end text recognition with convolutional neural networks (TW, DJW, AC, AYN), pp. 3304–3308.
ICPRICPR-2012-WuFH0N #recognition
Cascaded heterogeneous convolutional neural networks for handwritten digit recognition (CW, WF, YH, JS, SN), pp. 657–660.
ICPRICPR-2012-YilmazYK #multimodal #process
Non-linear weighted averaging for multimodal information fusion by employing Analytical Network Process (TY, AY, MK), pp. 234–237.
ICPRICPR-2012-ZhaoXY #learning #speech
Unsupervised Tibetan speech features Learning based on Dynamic Bayesian Networks (YZ, XX, GY), pp. 2319–2322.
KDDKDD-2012-BeutelPRF #question
Interacting viruses in networks: can both survive? (AB, BAP, RR, CF), pp. 426–434.
KDDKDD-2012-Chen #information management #social
Information processing in social networks (MSC), p. 1403.
KDDKDD-2012-ChenCL #game studies #multi #social
Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks (HHC, YBC, SDL), pp. 1524–1527.
KDDKDD-2012-GiatsidisBTV #collaboration #graph #visual notation
Visual exploration of collaboration networks based on graph degeneracy (CG, KB, DMT, MV), pp. 1512–1515.
KDDKDD-2012-Han #mining
Mining heterogeneous information networks: the next frontier (JH), pp. 2–3.
KDDKDD-2012-HossainBBR
Storytelling in entity networks to support intelligence analysts (MSH, PB, APB, NR), pp. 1375–1383.
KDDKDD-2012-HsiehCD #modelling #rank
Low rank modeling of signed networks (CJH, KYC, ISD), pp. 507–515.
KDDKDD-2012-Li12c #similarity
Similarity search in real world networks (CL), p. 1405.
KDDKDD-2012-LiuHTLMH #online #social
Event-based social networks: linking the online and offline social worlds (XL, QH, YT, WCL, JM, JH), pp. 1032–1040.
KDDKDD-2012-MajumderDN #problem #social
Capacitated team formation problem on social networks (AM, SD, KVMN), pp. 1005–1013.
KDDKDD-2012-MyersZL #information management
Information diffusion and external influence in networks (SAM, CZ, JL), pp. 33–41.
KDDKDD-2012-OhKPY #realtime #semantics
PubMed search and exploration with real-time semantic network construction (JO, TK, SP, HY), pp. 1572–1575.
KDDKDD-2012-OlteanuS #clustering #correlation #energy #named #nondeterminism #predict
DAGger: clustering correlated uncertain data (to predict asset failure in energy networks) (DO, SJvS), pp. 1504–1507.
KDDKDD-2012-PatroDSWFK #approach #data-driven #how #learning #modelling
The missing models: a data-driven approach for learning how networks grow (RP, GD, ES, HW, DF, CK), pp. 42–50.
KDDKDD-2012-Posse #lessons learnt #recommendation #scalability #social
Key lessons learned building recommender systems for large-scale social networks (CP), p. 587.
KDDKDD-2012-Saez-TrumperCABB
Finding trendsetters in information networks (DST, GC, VAFA, RABY, FB), pp. 1014–1022.
KDDKDD-2012-ShiZKYLW #named #recommendation #semantics
HeteRecom: a semantic-based recommendation systemin heterogeneous networks (CS, CZ, XK, PSY, GL, BW), pp. 1552–1555.
KDDKDD-2012-SunNHYYY #clustering
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (YS, BN, JH, XY, PSY, XY), pp. 1348–1356.
KDDKDD-2012-WangZSY #community #identification #social
Magnet community identification on social networks (GW, YZ, XS, PSY), pp. 588–596.
KDDKDD-2012-YangSL #online #recommendation #social
Circle-based recommendation in online social networks (XY, HS, YL), pp. 1267–1275.
KDDKDD-2012-YangSLC #on the #query #social
On socio-spatial group query for location-based social networks (DNY, CYS, WCL, MSC), pp. 949–957.
KDDKDD-2012-YuSZH #semantics
Query-driven discovery of semantically similar substructures in heterogeneous networks (XY, YS, PZ, JH), pp. 1500–1503.
KDDKDD-2012-YuZSWWQZ #analysis #data mining #in the cloud #mining #named #social
BC-PDM: data mining, social network analysis and text mining system based on cloud computing (LY, JZ, WCS, BW, BW, LQ, BRZ), pp. 1496–1499.
KDDKDD-2012-ZhongFWXL #adaptation #behaviour #named #social
ComSoc: adaptive transfer of user behaviors over composite social network (EZ, WF, JW, LX, YL), pp. 696–704.
KDIRKDIR-2012-AlkouzA #approach #semantics #social
An Interests Discovery Approach in Social Networks based on a Semantically Enriched Bayesian Network Model (AA, SA), pp. 300–305.
KDIRKDIR-2012-BhattacharjeeBG #data mining #mining #optimisation #using
Product Assortment Decisions for a Network of Retail Stores using Data Mining with Optimization (SB, FB, RDG), pp. 319–323.
KDIRKDIR-2012-CheungZZ #approach
A Bayesian Approach for Constructing Ensemble Neural Network (SHC, YZ, ZZ), pp. 374–377.
KDIRKDIR-2012-DevezasF #information management #interactive #research #visualisation
Interactive Visualization of a News Clips Network — A Journalistic Research and Knowledge Discovery Tool (JLD, ÁF), pp. 157–162.
KDIRKDIR-2012-HavaSK #classification #documentation #semantics
Contextual Latent Semantic Networks used for Document Classification (OH, MS, PK), pp. 425–430.
KDIRKDIR-2012-LemnaruTCP #case study #classification #detection #hybrid #problem
A Hybrid Solution for Imbalanced Classification Problems — Case Study on Network Intrusion Detection (CL, ATV, AC, RP), pp. 348–352.
KDIRKDIR-2012-LuongHGH #recommendation #social
Exploiting Social Networks for Publication Venue Recommendations (HPL, TH, SG, KH), pp. 239–245.
KDIRKDIR-2012-Potuzak #algorithm #optimisation #search-based #using
Issues of Optimization of a Genetic Algorithm for Traffic Network Division using a Genetic Algorithm (TP), pp. 340–343.
KDIRKDIR-2012-SorkhiAHH #framework #game studies #identification #social
A Game-Theoretic Framework to Identify Top-K Teams in Social Networks (MS, HA, SH, AH), pp. 252–257.
KDIRKDIR-2012-TakesK #traversal
The Difficulty of Path Traversal in Information Networks (FWT, WAK), pp. 138–144.
KDIRKDIR-2012-UddinAH #analysis #social
New Directions in the Analysis of Social Network Dynamics (MSU, SRA, LH), pp. 269–274.
KDIRKDIR-2012-Zamora-MartinezRPT #empirical
Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment (FZM, PR, JP, DT), pp. 206–211.
KEODKEOD-2012-TserpesPKPASV #ontology #social
An Ontology for Social Networking Sites Interoperability (KT, GP, MK, AP, FA, ES, TAV), pp. 245–250.
KMISKMIS-2012-HubwieserM #collaboration #education #learning #ontology #social
A Social Network for Learning — Supporting Collaborative Learning based on the Ontology for Educational Knowledge (PH, AM), pp. 298–301.
KMISKMIS-2012-KataokaTKH #information management
An Information Sharing Method for Skilled Management Operations based on Bayesian Network Inference (TK, KT, MK, MH), pp. 257–260.
KMISKMIS-2012-LageA #coordination #information management #perspective
Factors Influencing Information Sharing in Four SME Networks in Portugal — A Coordination Perspective (EL, BA), pp. 178–183.
MLDMMLDM-2012-BouhamedMLR #heuristic #learning
A New Learning Structure Heuristic of Bayesian Networks from Data (HB, AM, TL, AR), pp. 183–197.
MLDMMLDM-2012-Herrera-YagueZ #predict
Prediction of Telephone User Attributes Based on Network Neighborhood Information (CHY, PJZ), pp. 645–659.
MLDMMLDM-2012-MacchiaCM #mining #modelling #ranking
Mining Ranking Models from Dynamic Network Data (LM, MC, DM), pp. 566–577.
MLDMMLDM-2012-Thombre #classification
Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques (AT), pp. 132–140.
RecSysRecSys-2012-AminYSBP #delivery #recommendation #social
Social referral: leveraging network connections to deliver recommendations (MSA, BY, SS, AB, CP), pp. 273–276.
RecSysRecSys-2012-StrickrothP #community #quality #recommendation
High quality recommendations for small communities: the case of a regional parent network (SS, NP), pp. 107–114.
RecSysRecSys-2012-YangSGL #on the #recommendation #social #using
On top-k recommendation using social networks (XY, HS, YG, YL), pp. 67–74.
SEKESEKE-2012-DoranCG #api #how #privacy #social
How Social Network APIs Have Ended the Age of Privacy (DD, SC, SSG), pp. 400–405.
SEKESEKE-2012-El-SherifFE #concept #learning #multi #social #using
Using Social Networks for Learning New Concepts in Multi-Agent Systems (SMES, BHF, AE), pp. 261–266.
SEKESEKE-2012-LiRPY #fuzzy #modelling #multi #optimisation
Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling (KL, MR, WP, JY), pp. 106–111.
SEKESEKE-2012-PittoliSN #monitoring #using
Investigating the Use of Bayesian Networks as a Support Tool for Monitoring Software Projects (FP, ALRdS, DJN), pp. 570–573.
SEKESEKE-2012-RadulovicG #process #recommendation #semantics
Semantic Technology Recommendation Based on the Analytic Network Process (FR, RGC), pp. 611–616.
SEKESEKE-2012-WangXC #linear #mining #social
Sparse Linear Influence Model for Hot User Selection on Mining a Social Network (YW, GX, SKC), pp. 1–6.
SIGIRSIGIR-2012-ChenLYYN #social #web
Finding web appearances of social network users via latent factor model (KC, ZL, XY, YY, ZN), pp. 1077–1078.
SIGIRSIGIR-2012-Gao #social
Opinion influence and diffusion in social network (DG), p. 997.
SIGIRSIGIR-2012-YangSLZC #predict #social
Friend or frenemy?: predicting signed ties in social networks (SHY, AJS, BL, HZ, YC), pp. 555–564.
SIGIRSIGIR-2012-YuLZZL #estimation #performance #scalability #towards
SimFusion+: extending simfusion towards efficient estimation on large and dynamic networks (WY, XL, WZ, YZ, JL), pp. 365–374.
OOPSLAOOPSLA-2012-BocqD #monad #named #process #streaming #using #virtual machine
Molecule: using monadic and streaming I/O to compose process networks on the JVM (SB, KD), pp. 315–334.
TOOLSTOOLS-EUROPE-2012-CatanoHR #formal method #named #policy #privacy #social
Poporo: A Formal Methods Tool for Fast-Checking of Social Network Privacy Policies (NC, SH, CR), pp. 9–16.
PADLPADL-2012-LooGLMMSWZ #declarative
Recent Advances in Declarative Networking (BTL, HG, CL, YM, WRM, MS, AW, WZ), pp. 1–16.
POPLPOPL-2012-MonsantoFHW #compilation #programming language #runtime
A compiler and run-time system for network programming languages (CM, NF, RH, DW), pp. 217–230.
POPLPOPL-2012-Rexford #programmable #programming language
Programming languages for programmable networks (JR), pp. 215–216.
QAPLQAPL-2012-BortolussiGH #hybrid #modelling #performance
Hybrid performance modelling of opportunistic networks (LB, VG, JH), pp. 106–121.
ICSEICSE-2012-CasatiDDEFKMMOPQRSTV #enterprise #physics #process #towards
Towards business processes orchestrating the physical enterprise with wireless sensor networks (FC, FD, GD, JE, NF, SK, PMM, LM, FJO, GPP, AQ, KR, PS, ST, TV), pp. 1357–1360.
ICSEICSE-2012-ChatzigeorgiouM #evolution #object-oriented #roadmap
Trends in object-oriented software evolution: Investigating network properties (AC, GM), pp. 1309–1312.
ICSEICSE-2012-Kukreja #collaboration #elicitation #framework #named #requirements #social
Winbook: A social networking based framework for collaborative requirements elicitation and WinWin negotiations (NK), pp. 1610–1612.
ICSEICSE-2012-Tamburri #agile
Going global with agile service networks (DAT), pp. 1475–1478.
SACSAC-2012-AnwarF #data access #policy #social #visualisation
A visualization tool for evaluating access control policies in facebook-style social network systems (MMA, PWLF), pp. 1443–1450.
SACSAC-2012-ChenGZG #metric #similarity #using
Discovering missing links in networks using vertex similarity measures (HHC, LG, X(Z, CLG), pp. 138–143.
SACSAC-2012-DayehH #biology #using
Analyzing incomplete biological pathways using network motifs (MED, MH), pp. 1355–1360.
SACSAC-2012-GuccioneCAMM #clustering
Trend cluster based interpolation everywhere in a sensor network (PG, AC, AA, DM, AM), pp. 827–828.
SACSAC-2012-HuangHYY #algorithm #approximate #correlation
An in-network approximate data gathering algorithm exploiting spatial correlation in wireless sensor networks (CCH, JLH, JAY, LYY), pp. 550–555.
SACSAC-2012-HuH
A density-aware routing scheme in delay tolerant networks (CLH, BJH), pp. 563–568.
SACSAC-2012-JabeurTB #microblog #retrieval #twitter
Uprising microblogs: a bayesian network retrieval model for tweet search (LBJ, LT, MB), pp. 943–948.
SACSAC-2012-MoraisC #ad hoc #detection #distributed
A distributed intrusion detection scheme for wireless ad hoc networks (ANPM, ARC), pp. 556–562.
SACSAC-2012-NunesCM #learning #similarity #social
Resolving user identities over social networks through supervised learning and rich similarity features (AN, PC, BM), pp. 728–729.
SACSAC-2012-RahmanA #authentication #named #protocol #robust
DRAP: a Robust Authentication protocol to ensure survivability of computational RFID networks (FR, SIA), pp. 498–503.
SACSAC-2012-SioutasPKT #named #probability #query
SART: dynamic P2P query processing in sensor networks with probabilistic guarantees (SS, AP, IK, DT), pp. 847–852.
SACSAC-2012-SouzaPEMOW #navigation #using
Vision and GPS-based autonomous vehicle navigation using templates and artificial neural networks (JRS, GP, GBE, CCTM, FSO, DFW), pp. 280–285.
SACSAC-2012-TeymooriKY #fault tolerance #realtime
A real-time data aggregation method for fault-tolerant wireless sensor networks (PT, MK, NY), pp. 605–612.
CASECASE-2012-HN #approach #multi #social
Influence limitation in multi-campaign social networks: A Shapley value based approach (PRH, YN), pp. 735–740.
CASECASE-2012-PehlivanAXC #approach #capacity #multi #optimisation
Multi-period capacity planning for maternity facilities in a perinatal network: A queuing and optimization approach (CP, VA, XX, CCH), pp. 137–142.
CASECASE-2012-SuhYO #algorithm #locality #mobile
A cooperative localization algorithm for mobile sensor networks (JS, SY, SO), pp. 1126–1131.
CASECASE-2012-TataraLOC #adaptation #framework #interactive #mobile #self
Locally communicative interaction framework for adaptively self-organizing mobile sensor networks (KT, GL, HO, NYC), pp. 1138–1143.
CASECASE-2012-YamaguchiIS #data-driven #database #fault
Data based construction of Bayesian Network for fault diagnosis of event-driven systems (TY, SI, TS), pp. 508–514.
DACDAC-2012-BerettaRKGRA #design #energy #trade-off
Design exploration of energy-performance trade-offs for wireless sensor networks (IB, FJR, NK, PRG, VR, DA), pp. 1043–1048.
DACDAC-2012-EberlGTA #automation #design
Considering diagnosis functionality during automatic system-level design of automotive networks (ME, MG, JT, UA), pp. 205–213.
DACDAC-2012-KuangBK #manycore #optimisation
Traffic-aware power optimization for network applications on multicore servers (JK, LNB, RK), pp. 1006–1011.
DACDAC-2012-LiuH #scalability #simulation
Dynamic river network simulation at large scale (FL, BRH), pp. 723–728.
DACDAC-2012-MeirR #analysis #biology #named #performance #using
BLAST: efficient computation of nonlinear delay sensitivities in electronic and biological networks using barycentric Lagrange enabled transient adjoint analysis (AM, JSR), pp. 301–310.
DACDAC-2012-SharadAPR
Cognitive computing with spin-based neural networks (MS, CA, GP, KR), pp. 1262–1263.
DACDAC-2012-ZuluagaMP #generative #sorting #streaming
Computer generation of streaming sorting networks (MZ, PAM, MP), pp. 1245–1253.
DATEDATE-2012-AksanliRM #energy
Benefits of green energy and proportionality in high speed wide area networks connecting data centers (BA, TSR, IM), pp. 175–180.
DATEDATE-2012-DimitrakopoulosK #metaprogramming #multi
Dynamic-priority arbiter and multiplexer soft macros for on-chip networks switches (GD, EK), pp. 542–545.
DATEDATE-2012-EbrahimiDLPT #algorithm
CATRA- congestion aware trapezoid-based routing algorithm for on-chip networks (ME, MD, PL, JP, HT), pp. 320–325.
DATEDATE-2012-HammamiLB #named #verification
NOCEVE: Network on chip emulation and verification environment (OH, XL, JMB), pp. 163–164.
DATEDATE-2012-MagnoMBPOB #power management
Smart power unit with ultra low power radio trigger capabilities for wireless sensor networks (MM, SJM, DB, EMP, BO, LB), pp. 75–80.
DATEDATE-2012-MiryalaCMP #analysis
IR-drop analysis of graphene-based power distribution networks (SM, AC, EM, MP), pp. 81–86.
DATEDATE-2012-MuradoreQF #predict
Predictive control of networked control systems over differentiated services lossy networks (RM, DQ, PF), pp. 1245–1250.
DATEDATE-2012-PattiAAOCJJM #energy #middleware #performance
Middleware services for network interoperability in smart energy efficient buildings (EP, AA, FA, AO, AC, MJ, MJ, EM), pp. 338–339.
DATEDATE-2012-RoxEG #analysis #design #using
Using timing analysis for the design of future switched based Ethernet automotive networks (JR, RE, PG), pp. 57–62.
DATEDATE-2012-SassoneCMMPGMBR #dependence
Investigating the effects of Inverted Temperature Dependence (ITD) on clock distribution networks (AS, AC, AM, EM, MP, RG, VM, EB, SR), pp. 165–166.
HPCAHPCA-2012-AhnCK #approach #architecture #scalability
Network within a network approach to create a scalable high-radix router microarchitecture (JHA, SC, JK), pp. 455–466.
HPCAHPCA-2012-JiangBMD
Network congestion avoidance through Speculative Reservation (NJ, DUB, GM, WJD), pp. 443–454.
HPDCHPDC-2012-XiaCLTDB #named #performance
VNET/P: bridging the cloud and high performance computing through fast overlay networking (LX, ZC, JRL, YT, PAD, PGB), pp. 259–270.
OSDIOSDI-2012-HanMCR #interface #named #programming #scalability
MegaPipe: A New Programming Interface for Scalable Network I/O (SH, SM, BGC, SR), pp. 135–148.
PDPPDP-2012-BaumannS #analysis #markov #modelling #security
Markovian Modeling and Security Measure Analysis for Networks under Flooding DoS Attacks (HB, WS), pp. 298–302.
PDPPDP-2012-DumitrescuA #clustering
Clustering Superpeers in P2P Networks by Growing Neural Gas (MD, RA), pp. 311–318.
PDPPDP-2012-EbrahimiDLPT #adaptation #named
LEAR — A Low-Weight and Highly Adaptive Routing Method for Distributing Congestions in On-chip Networks (ME, MD, PL, JP, HT), pp. 520–524.
PDPPDP-2012-GoncalvesVASNC
Characterizing Dynamic Properties of the SopCast Overlay Network (KCG, ABV, JMA, APCdS, HTMN, SVAC), pp. 319–326.
PDPPDP-2012-HamedaniHSJ #3d #constraints
Exploration of Temperature Constraints for Thermal Aware Mapping of 3D Networks on Chip (PKH, SH, HSA, NDEJ), pp. 499–506.
PDPPDP-2012-KamelY #distributed
A Distributed E2E Recovery Mechanism for MPLS Networks (AEK, HY), pp. 245–249.
PDPPDP-2012-ZhangZXW #persistent
An Optimized Degree Strategy for Persistent Sensor Network Data Distribution (WZ, QZ, XX, JW), pp. 130–137.
PPoPPPPoPP-2012-GongHZ #in the cloud #overview #performance
An overview of CMPI: network performance aware MPI in the cloud (YG, BH, JZ), pp. 297–298.
ESOPESOP-2012-FehnkerGHMPT #algebra #process
A Process Algebra for Wireless Mesh Networks (AF, RJvG, PH, AM, MP, WLT), pp. 295–315.
STOCSTOC-2012-ChakrabartiFW #multi #problem
When the cut condition is enough: a complete characterization for multiflow problems in series-parallel networks (AC, LF, CW), pp. 19–26.
STOCSTOC-2012-ChanP #analysis #bound #fourier
Tight bounds for monotone switching networks via fourier analysis (SMC, AP), pp. 495–504.
STOCSTOC-2012-GoyalK
Competitive contagion in networks (SG, MK), pp. 759–774.
TACASTACAS-2012-LangM #equation #lts #model checking #using
Partial Model Checking Using Networks of Labelled Transition Systems and Boolean Equation Systems (FL, RM), pp. 141–156.
CAVCAV-2012-BenqueBCCFIPTV #biology #modelling #named #visual notation
Bma: Visual Tool for Modeling and Analyzing Biological Networks (DB, SB, CC, BC, JF, SI, NP, AST, MYV), pp. 686–692.
ICSTICST-2012-Woehrle #protocol #search-based #testing
Search-Based Stress Testing of Wireless Network Protocol Stacks (MW), pp. 794–803.
ECSAECSA-2011-TamburriL #agile #communication #development
Supporting Communication and Cooperation in Global Software Development with Agile Service Networks (DAT, PL), pp. 236–243.
DocEngDocEng-2011-BalinskyBS #automation #summary
Automatic text summarization and small-world networks (HB, AB, SJS), pp. 175–184.
DocEngDocEng-2011-ChidlovskiiB #learning #metric #recommendation #social
Local metric learning for tag recommendation in social networks (BC, AB), pp. 205–208.
DocEngDocEng-2011-Pimentel #social
Documenting social networks (MdGCP), pp. 277–280.
HTHT-2011-Contractor #multi #using #web
From disasters to WOW: using web science to understand and enable 21st century multidimensional networks (NSC), pp. 1–2.
HTHT-2011-GoedeMNW #social #summary #using
Succinct summaries of narrative events using social networks (BdG, MM, AN, JvW), pp. 299–304.
HTHT-2011-Massa #social #wiki
Social networks of Wikipedia (PM), pp. 221–230.
HTHT-2011-SimkoTB #game studies
Little search game: term network acquisition via a human computation game (JS, MT, MB), pp. 57–62.
ICDARICDAR-2011-CiresanMGS #classification
Convolutional Neural Network Committees for Handwritten Character Classification (DCC, UM, LMG, JS), pp. 1135–1139.
ICDARICDAR-2011-EmilieBA #constraints #physics #recognition #semantics #using
Use of Semantic and Physical Constraints in Bayesian Networks for Form Recognition (EP, YB, AB), pp. 946–950.
ICDARICDAR-2011-HaddadHKA #adaptation #online #recognition #using
Improvement of On-line Recognition Systems Using a RBF-Neural Network Based Writer Adaptation Module (LH, TMH, MK, AMA), pp. 284–288.
ICDARICDAR-2011-IndermuhleFFB #documentation #keyword #online #using
Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks (EI, VF, AF, HB), pp. 73–77.
ICDARICDAR-2011-JainFJM #documentation #retrieval #word
BLSTM Neural Network Based Word Retrieval for Hindi Documents (RJ, VF, CVJ, RM), pp. 83–87.
ICDARICDAR-2011-SaldarriagaC #online #using #word
Indexing On-line Handwritten Texts Using Word Confusion Networks (SPS, MC), pp. 197–201.
JCDLJCDL-2011-SanchezCRNLB #collaboration #library #using #visualisation
Visualizing collaboration networks implicit in digital libraries using OntoStarFish (JAS, OC, AR, MAMN, JCL, EB), pp. 213–222.
JCDLJCDL-2011-VeldenHL
Resolving author name homonymy to improve resolution of structures in co-author networks (TV, AuH, CL), pp. 241–250.
PODSPODS-2011-AmelootNB #declarative #relational #transducer
Relational transducers for declarative networking (TJA, FN, JVdB), pp. 283–292.
SIGMODSIGMOD-2011-HayLMPT #data transformation #privacy
Privacy-aware data management in information networks (MH, KL, GM, JP, ET), pp. 1201–1204.
SIGMODSIGMOD-2011-HuangWYL #algorithm
Sampling based algorithms for quantile computation in sensor networks (ZH, LW, KY, YL), pp. 745–756.
SIGMODSIGMOD-2011-KhanLYGCT #graph #performance #scalability
Neighborhood based fast graph search in large networks (AK, NL, XY, ZG, SC, ST), pp. 901–912.
SIGMODSIGMOD-2011-WeningerDFHHJKKLMSTWY #analysis #named
WINACS: construction and analysis of web-based computer science information networks (TW, MD, FF, JMH, JH, TJJ, SK, HK, ZL, DM, YS, NET, CW, XY), pp. 1255–1258.
SIGMODSIGMOD-2011-ZhaoLXH #graph #multi
Graph cube: on warehousing and OLAP multidimensional networks (PZ, XL, DX, JH), pp. 853–864.
TPDLTPDL-2011-LarsonJ #social
Connecting Archival Collections: The Social Networks and Archival Context Project (RRL, KJ), pp. 3–14.
VLDBVLDB-2011-AgrawalBA #information management #social
Information Diffusion In Social Networks: Observing and Influencing Societal Interests (DA, CB, AEA), pp. 1512–1513.
VLDBVLDB-2011-BudakAA #analysis #online #social
Structural Trend Analysis for Online Social Networks (CB, DA, AEA), pp. 646–656.
VLDBVLDB-2011-JinLLH #data mining #detection #named #social #social media
SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks (XJ, CXL, JL, JH), pp. 1458–1461.
VLDBVLDB-2011-NiuRDS #logic #markov #named #scalability #statistics #using
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (FN, CR, AD, JWS), pp. 373–384.
VLDBVLDB-2011-SunHYYW #named #similarity
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks (YS, JH, XY, PSY, TW), pp. 992–1003.
VLDBVLDB-2011-YanZN #algorithm #performance
Efficient Algorithms for Finding Optimal Meeting Point on Road Networks (DY, ZZ, WN), pp. 968–979.
VLDBVLDB-2011-ZhuQLYHY #mining #scalability
Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.
ITiCSEITiCSE-2011-CarruthersMPS #social
Draw a social network (SC, TM, TP, US), pp. 178–182.
ITiCSEITiCSE-2011-WahbaFH #student
A technology-assisted scavenger hunt for introducing K-12 students to sensor networks (SKW, YF, JOH), pp. 73–77.
SIGITESIGITE-2011-BassiouniG #development #education #research #security
Enhancing network security education with research and development content (MAB, RG), pp. 293–298.
SIGITESIGITE-2011-Cosgrove #learning #low cost
Bringing together a low-cost networking learning environment (SRC), pp. 101–106.
SIGITESIGITE-2011-WangHCP #design #education #in the cloud
Introducing cloud computing with a senior design project in undergraduate education of computer system and network administration (XW, GCH, ABC, BWP), pp. 177–182.
ICSMEICSM-2011-HongKCB #comprehension #developer #evolution #social
Understanding a developer social network and its evolution (QH, SK, SCC, CB), pp. 323–332.
WCREWCRE-2011-AntunesNV #protocol #reverse engineering
Reverse Engineering of Protocols from Network Traces (JA, NFN, PV), pp. 169–178.
WCREWCRE-2011-SurianLLTLF #collaboration #developer #people #recommendation
Recommending People in Developers’ Collaboration Network (DS, NL, DL, HT, EPL, CF), pp. 379–388.
CIAACIAA-J-2010-CzumajCGJLZ11 #algorithm #approximate #design #geometry
Approximation Algorithms for Buy-at-Bulk Geometric Network Design (AC, JC, LG, JJ, AL, PZ), pp. 1949–1969.
AFLAFL-2011-ManeaT
Accepting Networks of Evolutionary Processors with Subregular Filters (FM, BT), pp. 300–314.
DLTDLT-2011-Manea
Deciding Networks of Evolutionary Processors (FM), pp. 337–349.
ICALPICALP-v1-2011-AdamaszekCLW #approximate #design #geometry
Approximation Schemes for Capacitated Geometric Network Design (AA, AC, AL, JOW), pp. 25–36.
ICALPICALP-v2-2011-ChanN #convergence #performance
Fast Convergence for Consensus in Dynamic Networks (THHC, LN), pp. 514–525.
ICALPICALP-v2-2011-ChlebusKPR #ad hoc #communication #distributed #performance
Efficient Distributed Communication in Ad-Hoc Radio Networks (BSC, DRK, AP, MAR), pp. 613–624.
ICALPICALP-v2-2011-Hoefer #social
Local Matching Dynamics in Social Networks (MH), pp. 113–124.
LATALATA-2011-DassowMT
Networks of Evolutionary Processors with Subregular Filters (JD, FM, BT), pp. 262–273.
ICFPICFP-2011-FosterHFMRSW #named #programming language
Frenetic: a network programming language (NF, RH, MJF, CM, JR, AS, DW), pp. 279–291.
AIIDEAIIDE-2011-FujitaIM #detection #using
Detecting Real Money Traders in MMORPG by Using Trading Network (AF, HI, HM).
AIIDEAIIDE-2011-HaRML #adaptation #game studies #logic #markov #recognition
Goal Recognition with Markov Logic Networks for Player-Adaptive Games (EH, JPR, BWM, JCL).
CoGCIG-2011-SchrumM #evolution #game studies #multimodal
Evolving multimodal networks for multitask games (JS, RM), pp. 102–109.
DiGRADiGRA-2011-KrogerDQ #analysis #game studies #industrial
The game boy's network. A network analysis of the German digital games industry (SK, ED, TQ).
DiGRADiGRA-2011-Meurs #game studies #social
And Then You Wait: The Issue of Dead Time in Social Network Games (RvM).
CoGVS-Games-2011-RosendoBGSF #3d #development #game studies #maintenance #towards
Towards the Development of a 3D Serious Game for Training in Power Network Maintenance (MR, TB, KdG, SS, CF), pp. 16–23.
CHICHI-2011-AmershiLKMC #named #performance
CueT: human-guided fast and accurate network alarm triage (SA, BL, AK, RM, BC), pp. 157–166.
CHICHI-2011-ChauKHF #interactive #machine learning #named #scalability
Apolo: making sense of large network data by combining rich user interaction and machine learning (DHC, AK, JIH, CF), pp. 167–176.
CHICHI-2011-ChettyHBOSG #internet #why
Why is my internet slow?: making network speeds visible (MC, DH, AB, UO, BS, REG), pp. 1889–1898.
CHICHI-2011-Kivran-SwaineGN #online #social #twitter
The impact of network structure on breaking ties in online social networks: unfollowing on twitter (FKS, PG, MN), pp. 1101–1104.
CHICHI-2011-LampinenLLT #social
We’re in it together: interpersonal management of disclosure in social network services (AL, VL, AL, ST), pp. 3217–3226.
CHICHI-2011-ZhaoJ #difference #image #self #social #visual notation
Cultural differences on visual self-presentation through social networking site profile images (CZ, GJ), pp. 1129–1132.
CSCWCSCW-2011-GutwinLG #performance #realtime #testing
Real-time groupware in the browser: testing the performance of web-based networking (CG, ML, TCNG), pp. 167–176.
CSCWCSCW-2011-Kivran-SwaineN #social
Network properties and social sharing of emotions in social awareness streams (FKS, MN), pp. 379–382.
CSCWCSCW-2011-NewmanLMRM #challenge #facebook #health #online #problem #social #using
It’s not that I don’t have problems, I’m just not putting them on facebook: challenges and opportunities in using online social networks for health (MWN, DL, SAM, PR, MEM), pp. 341–350.
CSCWCSCW-2011-SilfverbergLL #game studies #ll #quote #social
“I’ll press play, but I won’t listen”: profile work in a music-focused social network service (SS, LAL, AL), pp. 207–216.
CSCWCSCW-2011-Thom-SantelliMG #social
Organizational acculturation and social networking (JTS, DRM, DG), pp. 313–316.
HCIDUXU-v1-2011-OzturkR #experience #how #mobile #social #user interface
How to Improve User Experience in Mobile Social Networking: A User-Centered Study with Turkish Mobile Social Network Site Users (ÖÖ, KR), pp. 521–530.
HCIHCD-2011-AhramK #behaviour #design #modelling #social
Social Networking Applications: Smarter Product Design for Complex Human Behaviour Modeling (TZA, WK), pp. 471–480.
HCIHCD-2011-KlineQ #scalability
Attribute Description Service for Large-Scale Networks (DK, JQ), pp. 519–528.
HCIHCI-DDA-2011-CharfiEKM #analysis #automation #evaluation #human-computer #interactive #towards
Towards an Automatic Analysis of Interaction Data for HCI Evaluation Application to a Transport Network Supervision System (SC, HE, CK, FM), pp. 175–184.
HCIHCI-DDA-2011-LuoY #algorithm #clustering #framework #novel #parallel #using
A Novel Parallel Clustering Algorithm Based on Artificial Immune Network Using nVidia CUDA Framework (RL, QY), pp. 598–607.
HCIHCI-MIIE-2011-ChiangT11a #behaviour #mobile #smarttech #social #twitter
The Effort of Social Networking on Social Behavior — Integrating Twitter, Mobile Devices, and Wearable Clothing as an Example (CWC, KT), pp. 30–37.
HCIHCI-UA-2011-Wang11a #interactive #learning #student #tool support #using
Interactions between Human and Computer Networks: EFL College Students Using Computer Learning Tools in Remedial English Classes (ALW), pp. 107–112.
HCIHIMI-v1-2011-Ibrahim #online #perspective #privacy #social
Exploring Informational Privacy Perceptions in the Context of Online Social Networks: A Phenomenology Perspective (ENMI), pp. 330–338.
HCIHIMI-v1-2011-TogawaKY #communication #detection #peer-to-peer #using #visualisation
Peer-to-Peer File Sharing Communication Detection Using Spherical SOM Visualization for Network Management (ST, KK, YY), pp. 259–267.
HCIHIMI-v2-2011-FagerstromG #empirical #facebook #social #using
Co-Creation of Value through Social Network Marketing: A Field Experiment Using a Facebook Campaign to Increase Conversion Rate (AF, GG), pp. 229–235.
HCIHIMI-v2-2011-RanasingheFC #case study #experience #named #social
Petimo: Sharing Experiences through Physically Extended Social Networking (NR, ONNF, ADC), pp. 66–74.
HCIIDGD-2011-BrandND #embedded #interactive #social #using
Using Embedded Technology Badges to Derive Social Networks, Patterns of Interaction and Space Utilization in a Corporate Headquarters (JLB, GN, HD), pp. 353–360.
HCIIDGD-2011-DingR #performance
An Investigation on the Relationship between Informal Networks and Organizational Performance (HD, JR), pp. 490–493.
HCIIDGD-2011-GongMC #collaboration #ubiquitous
Mobilized Collaborative Services in Ubiquitous Network (MG, EM, FC), pp. 504–513.
HCIIDGD-2011-OzturkRPKB #case study #interactive #smarttech #social
The Impact of “Device” in Social Networking: An Explorative Study with Turkish Social Network Site Users on the Nature of Interactions through Personal Computers and Smartphones (ÖÖ, KR, SP, FK, OB), pp. 473–482.
HCIIDGD-2011-RigbyD #analysis #design #on the
On the Design of Organizational Network Analysis Software (JR, HD), pp. 550–555.
HCIIDGD-2011-WangG #development #experience #mobile #research #user interface
The User’s Emotional Elements Research of Mobile Network Products Development Guided by User Experience (YW, QG), pp. 332–340.
HCIIDGD-2011-ZhouZL #database #evaluation #research #usability
Usability Evaluation Factors Research in Network Database System (EgZ, JZ, BL), pp. 283–290.
HCIOCSC-2011-CarstensG #interface #privacy #question #social
Is Your Social Networking Privacy Reliant on Intuitive Interfaces? (DSC, VG), pp. 309–318.
HCIOCSC-2011-ConnollyM #education #social
Third Agers and Social Networking in Higher Education (CMC, GM), pp. 30–39.
HCIOCSC-2011-DamianosCD #case study #enterprise #named
Handshake: A Case Study for Exploring Business Networking for the Enterprise, Inside and Out (LED, DLC, SD), pp. 162–171.
HCIOCSC-2011-GamberiniMSBF #feedback #process #quote #social
“Your Team Cohesion is Low”: A Systematic Study of the Effects of Social Network Feedback on Mediated Activity (LG, FM, AS, RB, MF), pp. 172–181.
HCIOCSC-2011-HanCJ #case study #social #visualisation
A Study on Social Network Services Visualization Based on User Needs (YSH, JKC, YGJ), pp. 319–325.
HCIOCSC-2011-HoltzblattD #community #enterprise #online
Measuring the Success of On-line Communities in an Enterprise Networking Tool (LJH, LED), pp. 188–196.
HCIOCSC-2011-ReisBB #personalisation #semantics #social
Beyond the Social Search: Personalizing the Semantic Search in Social Networks (JCdR, RB, MCCB), pp. 345–354.
HCIOCSC-2011-TsaiHT #social
An Investigation into the Social Network between Three Generations in a Household: Bridging the Interrogational Gaps between the Senior and the Youth (THT, YLH, KCT), pp. 277–286.
ICEISICEIS-v1-2011-ChengL #anti
An Anti-phishing Model for Ecommerce under a Network Environment (YC, GL), pp. 400–404.
ICEISICEIS-v1-2011-Kim #communication #using
CRL Distribution using an Alternative Communication Media for Vehicular Networks (HK), pp. 217–222.
ICEISICEIS-v1-2011-LiZS #predict
A New Network Traffic Prediction Model in Cognitive Networks (DL, RZ, XS), pp. 427–435.
ICEISICEIS-v1-2011-LuoS #novel
A Novel Service Routing Method in a Service-oriented Network (XL, JS), pp. 560–563.
ICEISICEIS-v1-2011-RafeaSA #clustering #social
Label Oriented Clustering for Social Network Discussion Groups (AR, AEKS, SGA), pp. 205–210.
ICEISICEIS-v1-2011-SchrodlGLT #assessment #framework #hybrid #risk management
Risk Management in Supply Networks for Hybrid Value Bundles — A Risk Assessment Framework (HS, MG, LL, KT), pp. 157–162.
ICEISICEIS-v1-2011-ShanZ #convergence
Mixed Convergence Pattern for Intelligence Negotiation Support Systems of High-tech Network Organization (ZdS, JlZ), pp. 396–399.
ICEISICEIS-v1-2011-TongSSX
Discipline and Infrastructures of Constructing Service Overlay Network (JT, MS, JS, KX), pp. 571–575.
ICEISICEIS-v1-2011-XiaoZTZC
A New Chinese Public Welfare Operation Mode based on Value Network Model (DX, ZZ, ZT, JZ, FC), pp. 510–514.
ICEISICEIS-v1-2011-ZdravkovicTP #ontology #semantics
Local Ontologies for Semantic Interoperability in Supply Chain Networks (MZ, MT, HP), pp. 22–31.
ICEISICEIS-v1-2011-ZhaoLY #information management
Saturation Model of Network Information Diffusion (JZ, ZL, JY), pp. 412–417.
ICEISICEIS-v2-2011-LiOAK #fault #identification #modelling #using
Patterns Identification for Hitting Adjacent Key Errors Correction using Neural Network Models (JL, KO, MSA, HBK), pp. 5–12.
ICEISICEIS-v2-2011-TarsauliyaTS #search-based #using
Financial Time Series Forecast using Simulated Annealing and Threshold Acceptance Genetic BPA Neural Network (AT, RT, AS), pp. 172–177.
ICEISICEIS-v2-2011-TianZX #analysis #case study #social #using
Study on the Knowledge -Sharing Network of Innovation Teams using Social Network Analysis (ZT, ZZ, DX), pp. 438–443.
ICEISICEIS-v2-2011-WuRWS #optimisation #research
The Research of Paper Reverse Logistic Network Optimization on the Low-carbon Economy (RW, YR, SW, CS), pp. 336–340.
ICEISICEIS-v2-2011-ZhuXM #assessment #risk management #using
Operational Hazard Risk Assessment using Bayesian Networks (ZJZ, YX, EM), pp. 135–139.
ICEISICEIS-v3-2011-GongZPJ #information management #integration #research
Research on Issues Related to Copyright Information Service Integration in Network Environment (XG, ZZ, JP, DJ), pp. 459–466.
ICEISICEIS-v3-2011-LiuT #case study #evolution
Study on the Evolution Mechanisms of the Network Public Opinion (HL, ZT), pp. 444–448.
ICEISICEIS-v3-2011-TangX #analysis #communication #modelling
Modeling and Analysis of a Power Line Communication Network Subject to Channel Failure (ST, YX), pp. 184–189.
ICEISICEIS-v4-2011-AlmeidaHRCBM #social
Augmenting Accessibility in Social Networks — A Virtual Presenter (LDAA, ECSH, JCdR, PDPC, MCCB, JMDM), pp. 225–234.
ICEISICEIS-v4-2011-HuGK #evaluation #modelling #trust
Supply Chain Trust Evaluation Model based on Bayesian Network (XH, FG, YK), pp. 712–715.
ICEISICEIS-v4-2011-LiL #optimisation
The Optimization of Road Network in Logistics Hub based on Low-carbon Aspect (YL, ML), pp. 666–670.
ICEISICEIS-v4-2011-LuCGD #algorithm #multi #optimisation #quality #using
Quality of Service Optimization of Wireless Sensor Networks using a Multi-objective Immune Co-evolutionary Algorithm (XL, ZRC, LG, YD), pp. 160–164.
ICEISICEIS-v4-2011-NgosiHCW #architecture #design #development #enterprise #process
Design Science and Actor Network Theory Nexus — A Perspective of Content Development of a Critical Process for Enterprise Architecture Management (TN, MH, MC, EW), pp. 449–456.
ICEISICEIS-v4-2011-ShailaVPTVP #named
KCSR: Keymatches Constrained Secure Routing in Heterogeneous Wireless Sensor Networks (KS, GHV, CRP, VT, KRV, LMP), pp. 13–22.
ICEISICEIS-v4-2011-SivasankariMKVP #energy #mobile #multi #performance
Multiple Mobile Synchronised Sinks (MMSS) for Energy Efficiency and Lifetime Maximization in Wireless Sensor Networks (HS, VM, KS, KRV, LMP), pp. 76–85.
ICEISICEIS-v4-2011-YangLH #multi #performance #scheduling
QPF Scheduling Scheme for Performance Improvements of Integrated Multimedia Applications over 3.5G Network (SJY, LCL, YMH), pp. 5–12.
CIKMCIKM-2011-AgrawalBA #information management #social #what
Information diffusion in social networks: observing and affecting what society cares about (DA, CB, AEA), pp. 2609–2610.
CIKMCIKM-2011-AwadallahRW #comprehension #named #topic
OpinioNetIt: understanding the opinions-people network for politically controversial topics (RA, MR, GW), pp. 2481–2484.
CIKMCIKM-2011-BerlingerioCG #community #multi
Finding redundant and complementary communities in multidimensional networks (MB, MC, FG), pp. 2181–2184.
CIKMCIKM-2011-BjorklundGGG #keyword #social
Workload-aware indexing for keyword search in social networks (TAB, MG, JG, NG), pp. 535–544.
CIKMCIKM-2011-ChangYQZW #scalability
Finding information nebula over large networks (LC, JXY, LQ, YZ, HW), pp. 1465–1474.
CIKMCIKM-2011-ChenCC #framework #hybrid #query
Coupling or decoupling for KNN search on road networks?: a hybrid framework on user query patterns (YJC, KTC, MSC), pp. 795–804.
CIKMCIKM-2011-ChiangNTD #predict
Exploiting longer cycles for link prediction in signed networks (KYC, NN, AT, ISD), pp. 1157–1162.
CIKMCIKM-2011-GamperBCI #multimodal
Defining isochrones in multimodal spatial networks (JG, MHB, WC, MI), pp. 2381–2384.
CIKMCIKM-2011-GuH #feature model #towards
Towards feature selection in network (QG, JH), pp. 1175–1184.
CIKMCIKM-2011-KargarA #social
Discovering top-k teams of experts with/without a leader in social networks (MK, AA), pp. 985–994.
CIKMCIKM-2011-KarwegHB #evolution #social
Evolving social search based on bookmarks and status messages from social networks (BK, CH, KB), pp. 1825–1834.
CIKMCIKM-2011-LiBS #analysis #named #online #social #towards
CASINO: towards conformity-aware social influence analysis in online social networks (HL, SSB, AS), pp. 1007–1012.
CIKMCIKM-2011-LiBY #ad hoc #architecture #clustering #mobile
A cluster based mobile peer to peer architecture in wireless ad hoc networks (HL, KB, JY), pp. 2393–2396.
CIKMCIKM-2011-LiSL #people #social
Context-based people search in labeled social networks (CTL, MKS, SDL), pp. 1607–1612.
CIKMCIKM-2011-LiuLZD #classification #sentiment
Sentiment classification via l2-norm deep belief network (TL, ML, SZ, XD), pp. 2489–2492.
CIKMCIKM-2011-LoSZL #community #mining #trust
Mining direct antagonistic communities in explicit trust networks (DL, DS, KZ, EPL), pp. 1013–1018.
CIKMCIKM-2011-SachanCFS #community #probability #social #topic
Probabilistic model for discovering topic based communities in social networks (MS, DC, TAF, LVS), pp. 2349–2352.
CIKMCIKM-2011-TakesK
Determining the diameter of small world networks (FWT, WAK), pp. 1191–1196.
CIKMCIKM-2011-TangWLMP #privacy
Privacy preserving indexing for eHealth information networks (YT, TW, LL, SM, BP), pp. 905–914.
CIKMCIKM-2011-VliegendhartLKP #peer-to-peer
A peer’s-eye view: network term clouds in a peer-to-peer system (RV, ML, CK, JAP), pp. 1909–1912.
CIKMCIKM-2011-WangLF
Connecting users with similar interests via tag network inference (XW, HL, WF), pp. 1019–1024.
ICMLICML-2011-BazzaniFLMT #learning #policy #recognition #video
Learning attentional policies for tracking and recognition in video with deep networks (LB, NdF, HL, VM, JAT), pp. 937–944.
ICMLICML-2011-DoshiWTR #infinity
Infinite Dynamic Bayesian Networks (FD, DW, JBT, NR), pp. 913–920.
ICMLICML-2011-Gomez-RodriguezBS
Uncovering the Temporal Dynamics of Diffusion Networks (MGR, DB, BS), pp. 561–568.
ICMLICML-2011-MartensS #learning #optimisation
Learning Recurrent Neural Networks with Hessian-Free Optimization (JM, IS), pp. 1033–1040.
ICMLICML-2011-SocherLNM #natural language #parsing #recursion
Parsing Natural Scenes and Natural Language with Recursive Neural Networks (RS, CCYL, AYN, CDM), pp. 129–136.
ICMLICML-2011-SutskeverMH #generative
Generating Text with Recurrent Neural Networks (IS, JM, GEH), pp. 1017–1024.
ICMLICML-2011-VuAHS #modelling
Dynamic Egocentric Models for Citation Networks (DQV, AUA, DRH, PS), pp. 857–864.
KDDKDD-2011-AlqadahB #clustering #framework #game studies
A game theoretic framework for heterogenous information network clustering (FA, RB), pp. 795–804.
KDDKDD-2011-ChoML #social
Friendship and mobility: user movement in location-based social networks (EC, SAM, JL), pp. 1082–1090.
KDDKDD-2011-ChuC
Triangle listing in massive networks and its applications (SC, JC), pp. 672–680.
KDDKDD-2011-DengHZYL #modelling #probability #topic
Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.
KDDKDD-2011-GundechaBL #privacy #social
Exploiting vulnerability to secure user privacy on a social networking site (PG, GB, HL), pp. 511–519.
KDDKDD-2011-HuangLYFCWR #effectiveness #modelling
Brain effective connectivity modeling for alzheimer’s disease by sparse gaussian bayesian network (SH, JL, JY, AF, KC, TW, ER), pp. 931–939.
KDDKDD-2011-JiangFH #data type #graph #locality
Anomaly localization for network data streams with graph joint sparse PCA (RJ, HF, JH), pp. 886–894.
KDDKDD-2011-JiHD #classification
Ranking-based classification of heterogeneous information networks (MJ, JH, MD), pp. 1298–1306.
KDDKDD-2011-JinLH #axiom #ranking #similarity
Axiomatic ranking of network role similarity (RJ, VEL, HH), pp. 922–930.
KDDKDD-2011-JinWLYH #mining #named #power of #social #social media
LikeMiner: a system for mining the power of “like” in social media networks (XJ, CW, JL, XY, JH), pp. 753–756.
KDDKDD-2011-LiL #behaviour #community #detection #framework #generative #modelling #simulation #social
Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling (CTL, SDL), pp. 765–768.
KDDKDD-2011-MaiyaB #bias #towards
Benefits of bias: towards better characterization of network sampling (ASM, TYBW), pp. 105–113.
KDDKDD-2011-MathioudakisBCGU
Sparsification of influence networks (MM, FB, CC, AG, AU), pp. 529–537.
KDDKDD-2011-MooreYZRL #classification #learning
Active learning for node classification in assortative and disassortative networks (CM, XY, YZ, JBR, TL), pp. 841–849.
KDDKDD-2011-PedarsaniG #on the #privacy
On the privacy of anonymized networks (PP, MG), pp. 1235–1243.
KDDKDD-2011-SatpalBSRS #information management #logic #markov #using #web
Web information extraction using markov logic networks (SS, SB, SS, RR, PS), pp. 1406–1414.
KDDKDD-2011-ScellatoNM #predict #social
Exploiting place features in link prediction on location-based social networks (SS, AN, CM), pp. 1046–1054.
KDDKDD-2011-TaiYYC #privacy #social
Privacy-preserving social network publication against friendship attacks (CHT, PSY, DNY, MSC), pp. 1262–1270.
KDDKDD-2011-TangWGW #social #topic
Topic-level social network search (JT, SW, BG, YW), pp. 769–772.
KDDKDD-2011-TanLTJZL #analysis #sentiment #social
User-level sentiment analysis incorporating social networks (CT, LL, JT, LJ, MZ, PL), pp. 1397–1405.
KDDKDD-2011-YeSLYJ #on the #semantics #social
On the semantic annotation of places in location-based social networks (MY, DS, WCL, PY, KJ), pp. 520–528.
KDIRKDIR-2011-FangWLG #metric #statistics #wiki
Wikipedia as Domain Knowledge Networks — Domain Extraction and Statistical Measurement (ZF, JW, BL, WG), pp. 159–165.
KDIRKDIR-2011-Ibrahim #algorithm #clustering
Enhancing Clustering Network Planning Algorithm in the Presence of Obstacles (LFI), pp. 480–486.
KDIRKDIR-2011-Potuzak #algorithm #search-based
Suitability of a Genetic Algorithm for Road Traffic Network Division (TP), pp. 448–451.
KDIRKDIR-2011-ZalikZ #algorithm #clustering
Network Clustering by Advanced Label Propagation Algorithm (KRZ, BZ), pp. 444–447.
KEODKEOD-2011-KincelerMT #ontology
An Ontology for a Hydro-meteorological Observation Network (LMK, AMM, JLT), pp. 145–151.
KEODKEOD-2011-PileggiFT #ecosystem #semantics
Enabling Semantic Ecosystems among Heterogeneous Cognitive Networks (SFP, CFL, VT), pp. 487–492.
KMISKMIS-2011-DeparisALM #social
Knowledge Capitalization in an Organization Social Network (ÉD, MHA, GL, JM), pp. 217–222.
KMISKMIS-2011-Grim-YefsahRT11a #process #robust #using
Using Information of an Informal Network to Evaluate Business Process Robustness (MGY, CRS, VTG), pp. 430–435.
KMISKMIS-2011-SaharkhizS #multi #privacy #social
A Method for Preserving Privacy in Published Multi-relational Social Networks (AS, HRS), pp. 341–346.
MLDMMLDM-2011-SahaDR #community #detection
Detection of Communities and Bridges in Weighted Networks (TS, CD, HR), pp. 584–598.
RecSysRecSys-2011-JamaliHE #probability #rating #recommendation #social
A generalized stochastic block model for recommendation in social rating networks (MJ, TH, ME), pp. 53–60.
RecSysRecSys-2011-LopsGSNM #social
Leveraging the linkedin social network data for extracting content-based user profiles (PL, MdG, GS, FN, CM), pp. 293–296.
RecSysRecSys-2011-SymeonidisTM #multi #predict #rating #recommendation #social
Product recommendation and rating prediction based on multi-modal social networks (PS, ET, YM), pp. 61–68.
SEKESEKE-2011-AtitallahKSM #generative #information management
Knowledge management in next generation networks (SA, OAK, MS, EM), pp. 363–368.
SEKESEKE-2011-ColaceS #case study
Slow Intelligence System and Network Management: a case study (FC, MDS), pp. 17–24.
SEKESEKE-2011-GuntherNGD #process
Causal Networks Based Process Improvement (DG, RN, KG, RRD), pp. 462–465.
SEKESEKE-2011-SunWG #design #semantics
Semantic Enabled Sensor Network Design (JS, HHW, HG), pp. 179–184.
SIGIRSIGIR-2011-BelloginCC #analysis #hybrid #recommendation #self #social
Self-adjusting hybrid recommenders based on social network analysis (AB, PC, IC), pp. 1147–1148.
SIGIRSIGIR-2011-CetintasRSF #identification #modelling #people #probability #social
Identifying similar people in professional social networks with discriminative probabilistic models (SC, MR, LS, YF), pp. 1209–1210.
SIGIRSIGIR-2011-DengZH #modelling #topic
Collective topic modeling for heterogeneous networks (HD, BZ, JH), pp. 1109–1110.
SIGIRSIGIR-2011-DuGC
Decayed DivRank: capturing relevance, diversity and prestige in information networks (PD, JG, XC), pp. 1239–1240.
SIGIRSIGIR-2011-LappasPS #mining #social #using
Mining tags using social endorsement networks (TL, KP, TS), pp. 195–204.
SIGIRSIGIR-2011-ShiYGN #machine learning #recommendation #scalability #social
A large scale machine learning system for recommending heterogeneous content in social networks (YS, DY, AG, SN), pp. 1337–1338.
SIGIRSIGIR-2011-Smirnova #social
A model for expert finding in social networks (ES), pp. 1191–1192.
SIGIRSIGIR-2011-SunDLC #query #semantics #social #visualisation
Visualizing and querying semantic social networks (AS, AD, EPL, KC), pp. 1271–1272.
SIGIRSIGIR-2011-TangLWWL #ambiguity #graph #social
A bipartite graph based social network splicing method for person name disambiguation (JT, QL, TW, JW, WL), pp. 1233–1234.
SIGIRSIGIR-2011-WangRFZHB #learning #online #social
Learning relevance from heterogeneous social network and its application in online targeting (CW, RR, DF, DZ, JH, GJB), pp. 655–664.
SIGIRSIGIR-2011-YangYD #analysis #predict
Award prediction with temporal citation network analysis (ZY, DY, BDD), pp. 1203–1204.
SPLCSPLC-2011-Pohjalainen #agile #bottom-up #case study #experience #mobile #modelling #product line
Bottom-up Modeling for a Software Product Line: An Experience Report on Agile Modeling of Governmental Mobile Networks (PP), pp. 323–332.
PADLPADL-2011-MantadelisPJVB #ad hoc #mobile
Analysing a Publish/Subscribe System for Mobile Ad Hoc Networks with ProbLog (TM, KP, GJ, YV, YB), pp. 34–37.
PADLPADL-2011-VoellmyH #named #programming
Nettle: Taking the Sting Out of Programming Network Routers (AV, PH), pp. 235–249.
PPDPPPDP-2011-BourdierC #analysis #policy #security #term rewriting #using
Symbolic analysis of network security policies using rewrite systems (TB, HC), pp. 77–88.
ICSEICSE-2011-LimDF #identification #requirements #social #using
StakeSource2.0: using social networks of stakeholders to identify and prioritise requirements (SLL, DD, AF), pp. 1022–1024.
ICSEICSE-2011-MeneelyW #developer #metric #question #trust
Socio-technical developer networks: should we trust our measurements? (AM, LW), pp. 281–290.
SACSAC-2011-AhnLK #development #embedded #energy
Development of the wireless embedded sensor network for energy-efficient flooding (SA, YL, SK), pp. 621–622.
SACSAC-2011-BaoCCC #trust
Hierarchical trust management for wireless sensor networks and its application to trust-based routing (FB, IRC, MC, JHC), pp. 1732–1738.
SACSAC-2011-BoixCSCMD #interactive #mobile #named #social
Flocks: enabling dynamic group interactions in mobile social networking applications (EGB, ALC, CS, TVC, WDM, TD), pp. 425–432.
SACSAC-2011-FilhoSM #case study #simulation
Policy-driven network simulation: a resilience case study (AESF, PS, AM), pp. 492–497.
SACSAC-2011-HaBKBJ #analysis #perspective #social
Analyzing a Korean blogosphere: a social network analysis perspective (JH, DHB, SWK, SCB, BSJ), pp. 773–777.
SACSAC-2011-KanjilalS #database #modelling
Spatial network modeling for databases (VK, MS), pp. 827–832.
SACSAC-2011-KimPHC #adaptation #peer-to-peer
Adaptive link recovery scheme for structured peer-to-peer networks under churn (SK, GP, JH, YC), pp. 611–615.
SACSAC-2011-LimKKP #information management
Construction of a blog network based on information diffusion (SHL, SWK, SK, SP), pp. 937–941.
SACSAC-2011-LiuCC #query
Voronoi-based range query for trajectory data in spatial networks (SL, LC, GC), pp. 1022–1026.
SACSAC-2011-RahmanHA #named #reliability
REBIVE: a reliable private data aggregation scheme for wireless sensor networks (FR, MEH, SIA), pp. 439–444.
SACSAC-2011-SreekumariC #multi
A new TCP mechanism for reducing retransmission timeouts over multi-hop wireless networks (PS, SHC), pp. 498–505.
SACSAC-2011-SteigerHS #constraints #performance
An efficient generic network flow constraint (RS, WJvH, RS), pp. 893–900.
SACSAC-2011-TeranishiTH #named
HDOV: an overlay network for wide area spatial data collection (YT, ST, KH), pp. 506–513.
SACSAC-2011-WangZG #classification #identification
Traffic classification beyond application level: identifying content types from network traces (YW, ZZ, LG), pp. 540–541.
SACSAC-2011-YeHL #approach #query
A Bayesian network approach to context sensitive query expansion (ZY, XH, HL), pp. 1138–1142.
CASECASE-2011-CostantinoDFFMSU #approach #design #fuzzy #programming
A fuzzy programming approach for the strategic design of distribution networks (NC, MD, MF, MPF, AMM, FS, WU), pp. 66–71.
CASECASE-2011-FalconiPB #modelling
Potential field-based microscopic modeling of road networks with heterogeneous vehicular traffic (RF, AP, CB), pp. 226–231.
CASECASE-2011-KurzKP #maintenance #using
Dynamic Maintenance in semiconductor manufacturing using Bayesian networks (DK, JK, JP), pp. 238–243.
CASECASE-2011-SchererCC #distributed #linear #modelling
Transfer function modeling of linear dynamic networks for distributed MPC (HFS, EC, AC), pp. 613–618.
DACDAC-2011-Jandhyala #automation #design #social #tool support #web
Physics-based field-theoretic design automation tools for social networks and web search (VJ), pp. 280–281.
DACDAC-2011-KernZSNT
Accuracy of ethernet AVB time synchronization under varying temperature conditions for automotive networks (AK, HZ, TS, JN, JT), pp. 597–602.
DACDAC-2011-KimKY #named #power management
FlexiBuffer: reducing leakage power in on-chip network routers (GK, JK, SY), pp. 936–941.
DACDAC-2011-LiMCMS #modelling #performance #reliability #simulation
Device modeling and system simulation of nanophotonic on-chip networks for reliability, power and performance (ZL, MM, XC, ARM, LS), pp. 735–740.
DACDAC-2011-LimVH #challenge #realtime
Challenges in a future IP/ethernet-based in-car network for real-time applications (HTL, LV, DH), pp. 7–12.
DACDAC-2011-LungSHSC #3d #fault tolerance
Fault-tolerant 3D clock network (CLL, YSS, SHH, YS, SCC), pp. 645–651.
DACDAC-2011-Stergiou #diagrams #order #permutation
Implicit permutation enumeration networks and binary decision diagrams reordering (SS), pp. 615–620.
DACDAC-2011-ZhaiNS #adaptation #modelling #process #streaming
Modeling adaptive streaming applications with parameterized polyhedral process networks (JTZ, HN, TS), pp. 116–121.
DACDAC-2011-ZinnerNGSW
Application and realization of gateways between conventional automotive and IP/ethernet-based networks (HZ, JN, TG, JS, TW), pp. 1–6.
DATEDATE-2011-Al-DujailyMXYP #concurrent #detection #runtime #transitive #using
Run-time deadlock detection in networks-on-chip using coupled transitive closure networks (RAD, TSTM, FX, AY, MP), pp. 497–502.
DATEDATE-2011-BaiDCD #automation #modelling #performance
Automated construction of fast and accurate system-level models for wireless sensor networks (LSB, RPD, PHC, PAD), pp. 1083–1088.
DATEDATE-2011-BaiDDC #program transformation #programming #runtime
Simplified programming of faulty sensor networks via code transformation and run-time interval computation (LSB, RPD, PAD, PHC), pp. 88–93.
DATEDATE-2011-BeserraMSC #modelling
System-level modeling of a mixed-signal System on Chip for Wireless Sensor Networks (GSB, JEGdM, AMS, JCdC), pp. 1500–1504.
DATEDATE-2011-ButtrickK #3d #on the #testing #using
On testing prebond dies with incomplete clock networks in a 3D IC using DLLs (MB, SK), pp. 1418–1423.
DATEDATE-2011-ChenLWH #3d #architecture
A new architecture for power network in 3D IC (HTC, HLL, ZCW, TH), pp. 401–406.
DATEDATE-2011-DOrazioVD #challenge #state of the art
Sensor networks on the car: State of the art and future challenges (LD, FV, MD), pp. 1030–1035.
DATEDATE-2011-HealyL #3d #novel
A novel TSV topology for many-tier 3D power-delivery networks (MBH, SKL), pp. 261–264.
DATEDATE-2011-HendryCCB #design #named #specification
VANDAL: A tool for the design specification of nanophotonic networks (GH, JC, LPC, KB), pp. 782–787.
DATEDATE-2011-KakoeeBB #communication #named #reliability
ReliNoC: A reliable network for priority-based on-chip communication (MRK, VB, LB), pp. 667–672.
DATEDATE-2011-KlobedanzK0 #approach #configuration management #fault tolerance
A reconfiguration approach for fault-tolerant FlexRay networks (KK, AK, WM), pp. 82–87.
DATEDATE-2011-LukasiewyczCM #concept #scheduling
FlexRay switch scheduling — A networking concept for electric vehicles (ML, SC, PM), pp. 76–81.
DATEDATE-2011-RahimiLKB #clustering
A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters (AR, IL, MRK, LB), pp. 491–496.
DATEDATE-2011-SchenkelaarsVG #scheduling
Optimal scheduling of switched FlexRay networks (TS, BV, KG), pp. 926–931.
DATEDATE-2011-SommerKHSS #automation #design #generative
A new method for automated generation of compensation networks — The EDA Designer Finger (RS, DK, EH, ES, CS), pp. 1666–1672.
DATEDATE-2011-SunYW #co-evolution #design #framework #uml
A UML 2-based hardware-software co-design framework for body sensor network applications (ZS, CTY, WFW), pp. 1505–1508.
DATEDATE-2011-ZhangHCW #grid #power management #reduction
A block-diagonal structured model reduction scheme for power grid networks (ZZ, XH, CKC, NW), pp. 44–49.
DATEDATE-2011-ZhangT #detection #hardware #named
RON: An on-chip ring oscillator network for hardware Trojan detection (XZ, MT), pp. 1638–1643.
HPCAHPCA-2011-LiaoZB #architecture
A new server I/O architecture for high speed networks (GL, XZ, LNB), pp. 255–265.
HPCAHPCA-2011-LiHL0DTW
Power shifting in Thrifty Interconnection Network (JL, WH, CL, LZ, WED, RRT, KW), pp. 156–167.
HPCAHPCA-2011-NittaFA
Addressing system-level trimming issues in on-chip nanophotonic networks (CN, MKF, VA), pp. 122–131.
LCTESLCTES-2011-WangLLFBL #debugging #dependence #multi
Dependence-based multi-level tracing and replay for wireless sensor networks debugging (MW, ZL, FL, XF, SB, YHL), pp. 91–100.
PDPPDP-2011-HabibiAS #algorithm #multi
Multicast-Aware Mapping Algorithm for On-chip Networks (AH, MA, HSA), pp. 455–462.
PDPPDP-2011-Kraxberger #scalability
Scalable Secure Routing for Heterogeneous Unstructured P2P Networks (SK), pp. 619–626.
PDPPDP-2011-MillerW #optimisation #peer-to-peer
Transport Optimization in Peer-to-Peer Networks (KM, AW), pp. 567–573.
PDPPDP-2011-OrtizODP #interface #web
Improving Dynamic Web Servers by Affinity-Based Network Interfaces (AO, JO, AFD, AP), pp. 478–482.
PDPPDP-2011-VerbeekS #algorithm #concurrent #performance #proving
A Fast and Verified Algorithm for Proving Store-and-Forward Networks Deadlock-Free (FV, JS), pp. 3–10.
SOSPSOSP-2011-LenersWHAW #detection #distributed
Detecting failures in distributed systems with the Falcon spy network (JBL, HW, WLH, MKA, MW), pp. 279–294.
SOSPSOSP-2011-ZhouFNHLS
Secure network provenance (WZ, QF, AN, AH, BTL, MS), pp. 295–310.
FoSSaCSFoSSaCS-2011-DelzannoSZ #ad hoc #clique #on the #power of #verification
On the Power of Cliques in the Parameterized Verification of Ad Hoc Networks (GD, AS, GZ), pp. 441–455.
STOCSTOC-2011-DoerrFF #social
Social networks spread rumors in sublogarithmic time (BD, MF, TF), pp. 21–30.
STOCSTOC-2011-Haeupler
Analyzing network coding gossip made easy (BH), pp. 293–302.
CAVCAV-2011-GrosuBFGGSB #search-based
From Cardiac Cells to Genetic Regulatory Networks (RG, GB, FHF, JG, CLG, SAS, EB), pp. 396–411.
CSLCSL-2011-BeauxisM #semantics #standard
A Non-Standard Semantics for Kahn Networks in Continuous Time (RB, SM), pp. 35–50.
ICLPICLP-2011-ChristiansenHLP #analysis #sequence
Bayesian Annotation Networks for Complex Sequence Analysis (HC, CTH, OTL, MP), pp. 220–230.
ICLPICLP-J-2011-CattafiGNAF
Optimal placement of valves in a water distribution network with CLP(FD) (MC, MG, MN, SA, MF), pp. 731–747.
ICLPICLP-J-2011-DurzinskyMOSW #automation #re-engineering #using
Automatic network reconstruction using ASP (MD, WM, MO, TS, AW), pp. 749–766.
TAPTAP-2011-TroyaBLV #communication #lightweight #testing
Lightweight Testing of Communication Networks with e-Motions (JT, JMB, FLR, AV), pp. 187–204.
HTHT-2010-CorletteS #online #predict #scalability #social
Link prediction applied to an open large-scale online social network (DC, FMSI), pp. 135–140.
HTHT-2010-LeeB #similarity #social
Social networks and interest similarity: the case of CiteULike (DHL, PB), pp. 151–156.
HTHT-2010-MitzlaffBSH #analysis
Visit me, click me, be my friend: an analysis of evidence networks of user relationships in BibSonomy (FM, DB, GS, AH), pp. 265–270.
HTHT-2010-Murata #composition
Modularity for heterogeneous networks (TM), pp. 129–134.
JCDLJCDL-2010-GouZCKG #documentation #ranking #social
Social network document ranking (LG, XZ, HHC, JHK, CLG), pp. 313–322.
SIGMODSIGMOD-2010-ChengFL #morphism #named #privacy
K-isomorphism: privacy preserving network publication against structural attacks (JC, AWCF, JL), pp. 459–470.
SIGMODSIGMOD-2010-ChengKFYZ #clique
Finding maximal cliques in massive networks by H*-graph (JC, YK, AWCF, JXY, LZ), pp. 447–458.
SIGMODSIGMOD-2010-GiatrakosKDVT #approximate #named
TACO: tunable approximate computation of outliers in wireless sensor networks (NG, YK, AD, VV, YT), pp. 279–290.
SIGMODSIGMOD-2010-HanSYY #analysis #approach #database #mining
Mining knowledge from databases: an information network analysis approach (JH, YS, XY, PSY), pp. 1251–1252.
SIGMODSIGMOD-2010-Kleinberg #online
The flow of on-line information in global networks (JMK), pp. 1–2.
SIGMODSIGMOD-2010-SternBB #approach #query
Processing continuous join queries in sensor networks: a filtering approach (MS, KB, EB), pp. 267–278.
SIGMODSIGMOD-2010-XuJ #proximity
Processing proximity relations in road networks (ZX, HAJ), pp. 243–254.
SIGMODSIGMOD-2010-ZhouSTLLM #maintenance #performance #query
Efficient querying and maintenance of network provenance at internet-scale (WZ, MS, TT, XL, BTL, YM), pp. 615–626.
VLDBVLDB-2010-FuscoSV #named #on the fly #streaming
Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic (FF, MPS, MV), pp. 1382–1393.
VLDBVLDB-2010-MihaylovJIG #multi #optimisation
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks (SRM, MJ, ZGI, SG), pp. 1279–1290.
VLDBVLDB-2010-PestiLBIW #mobile #named #query #scalability
RoadTrack: Scaling Location Updates for Mobile Clients on Road Networks with Query Awareness (PP, LL, BB, AI, MW), pp. 1493–1504.
VLDBVLDB-2010-ZhaoH #graph #on the #optimisation #query #scalability
On Graph Query Optimization in Large Networks (PZ, JH), pp. 340–351.
VLDBVLDB-2011-RiceT10 #graph #query #strict
Graph Indexing of Road Networks for Shortest Path Queries with Label Restrictions (MNR, VJT), pp. 69–80.
VLDBVLDB-2011-YuanCY10 #personalisation #privacy #social
Personalized Privacy Protection in Social Networks (MY, LC, PSY), pp. 141–150.
EDMEDM-2010-KhodeirWDH #abduction #difference #probability #student #using
Inferring the Differential Student Model in a Probabilistic Domain Using Abduction inference in Bayesian networks (NK, NMW, NMD, NH), pp. 299–300.
EDMEDM-2010-RuppSC #analysis #game studies #learning #modelling #novel
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic Games (AAR, SJS, YC), pp. 319–320.
EDMEDM-2010-XuR #analysis #learning #online #social
Peer Production of Online Learning Resources: A Social Network Analysis (BX, MR), pp. 315–316.
ITiCSEITiCSE-2010-FinkelsteinPHDCB #game studies #named #social #student #using
SNAG: using social networking games to increase student retention in computer science (SLF, EP, AH, KD, SRC, TB), pp. 142–146.
ITiCSEITiCSE-2010-ForsterJ #approach #education
Hands-on approach to teaching wireless sensor networks at the undergraduate level (AF, MJ), pp. 284–288.
SIGITESIGITE-2010-KulgachevJ #evaluation #performance #using
802.11 networks performance evaluation using OPNET (VK, HJ), pp. 149–152.
SIGITESIGITE-2010-Lau
Redesigning and revitalizing two networking courses in an undergraduate information technology degree program (KFL), pp. 165–170.
SIGITESIGITE-2010-LewisL #education #security
TLS man-in-the-middle laboratory exercise for network security education (JL, PL), pp. 117–120.
SIGITESIGITE-2010-StockmanN #education
A teaching pedagogy for networking/system administration courses: freshman through senior years (MS, JN), pp. 15–20.
SIGITESIGITE-2010-WangHY #education #security #using
Using VMware VCenter lab manager in undergraduate education for system administration and network security (XW, GCH, RY), pp. 43–52.
SIGITESIGITE-2010-YuanZ #design #education #recommendation #taxonomy
Design and implement a networking curriculum in light of ACM IT curriculum recommendations and bloom’s taxonomy (DY, JZ), pp. 155–156.
ICPCICPC-2010-FalleriHLNPD #automation #identifier
Automatic Extraction of a WordNet-Like Identifier Network from Software (JRF, MH, ML, CN, VP, MD), pp. 4–13.
ICSMEICSM-2010-NguyenAH #dependence #metric #quality
Studying the impact of dependency network measures on software quality (THDN, BA, AEH), pp. 1–10.
MSRMSR-2010-NiaBDF #analysis #open source
Validity of network analyses in Open Source Projects (RN, CB, PTD, VF), pp. 201–209.
WCREWCRE-2010-SurianLL #collaboration #developer #mining #scalability
Mining Collaboration Patterns from a Large Developer Network (DS, DL, EPL), pp. 269–273.
ICALPICALP-v1-2010-AnagnostopoulosGLS #design #online
Online Network Design with Outliers (AA, FG, SL, PS), pp. 114–126.
ICALPICALP-v1-2010-BateniHIM #game studies
The Cooperative Game Theory Foundations of Network Bargaining Games (MB, MH, NI, HM), pp. 67–78.
ICALPICALP-v1-2010-GrandoniR #design #problem
Network Design via Core Detouring for Problems without a Core (FG, TR), pp. 490–502.
ICALPICALP-v2-2010-BlasiakK
The Serializability of Network Codes (AB, RDK), pp. 100–114.
ICALPICALP-v2-2010-BunnO
Asynchronous Throughput-Optimal Routing in Malicious Networks (PB, RO), pp. 236–248.
ICALPICALP-v2-2010-ChandranGO #fault tolerance
Improved Fault Tolerance and Secure Computation on Sparse Networks (NC, JAG, RO), pp. 249–260.
ICALPICALP-v2-2010-MertziosSSZ #multi #set
Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests (GBM, IS, MS, SZ), pp. 333–344.
LATALATA-2010-CabessaV #classification #first-order
A Hierarchical Classification of First-Order Recurrent Neural Networks (JC, AEPV), pp. 142–153.
LATALATA-2010-HemmerlingSK #difference #equation #process #programming language #specification
A Programming Language Tailored to the Specification and Solution of Differential Equations Describing Processes on Networks (RH, KS, WK), pp. 297–308.
SEFMSEFM-2010-BenettiMV #ad hoc #model checking #protocol
Model Checking Ad Hoc Network Routing Protocols: ARAN vs. endairA (DB, MM, LV), pp. 191–202.
SEFMSEFM-2010-GothelG #automation #invariant #realtime #towards #using #verification
Towards the Semi-Automatic Verification of Parameterized Real-Time Systems Using Network Invariants (TG, SG), pp. 310–314.
AIIDEAIIDE-2010-RoweL #interactive #modelling
Modeling User Knowledge with Dynamic Bayesian Networks in Interactive Narrative Environments (JPR, JCL).
CoGCIG-2010-ArinbjarnarK #interactive #realtime
Bayesian networks: Real-time applicable decision mechanisms for intelligent agents in interactive drama (MA, DK), pp. 427–434.
CoGCIG-2010-JohanssonD #behaviour
Introducing time in emotional behavior networks (AJ, PD), pp. 297–304.
CHICHI-2010-BurkeML #process #social
Social network activity and social well-being (MB, CM, TML), pp. 1909–1912.
CHICHI-2010-CostanzaPZNFHH #interface #mobile #named
SensorTune: a mobile auditory interface for DIY wireless sensor networks (EC, JP, GZ, JN, JF, JH, JPH), pp. 2317–2326.
CHICHI-2010-FreirePSG #analysis #interface #multi #named #visualisation
ManyNets: an interface for multiple network analysis and visualization (MF, CP, BS, JG), pp. 213–222.
CHICHI-2010-Lackaff
Propitious aggregation: reducing participant burden in ego-centric network data collection (DL), pp. 1467–1470.
CHICHI-2010-LeskovecHK #social #social media
Signed networks in social media (JL, DPH, JMK), pp. 1361–1370.
CHICHI-2010-MorrisTP #behaviour #overview #people #social #what #why
What do people ask their social networks, and why?: a survey study of status message q&a behavior (MRM, JT, KP), pp. 1739–1748.
CHICHI-2010-NakatsumaS #2d #communication #detection
High accuracy position and orientation detection in two-dimensional communication network (KN, HS), pp. 2297–2306.
CHICHI-2010-StollEM #interactive
Informal interactions in nonprofit networks (JS, WKE, EDM), pp. 533–536.
CHICHI-2010-Toma #online #social
Affirming the self through online profiles: beneficial effects of social networking sites (CLT), pp. 1749–1752.
CHICHI-2010-WuDM #detection #enterprise #social #using
Detecting professional versus personal closeness using an enterprise social network site (AW, JMD, DRM), pp. 1955–1964.
CSCWCSCW-2010-AmesGKS #product line
Making love in the network closet: the benefits and work of family videochat (MGA, JG, JK, MS), pp. 145–154.
CSCWCSCW-2010-ScholandTP #analysis #social
Social language network analysis (AJS, YRT, JWP), pp. 23–26.
ICEISICEIS-AIDSS-2010-AhdabG #learning #performance
Efficient Learning of Dynamic Bayesian Networks from Timed Data (AA, MLG), pp. 226–231.
ICEISICEIS-AIDSS-2010-SilvaCRN #assessment #fault #identification
Assessment of the Change in the Number of Neurons in Hidden Layers of Neural Networks for Fault Identification in Electrical Systems (DTdS, PHGC, JAPR, LBN), pp. 309–313.
ICEISICEIS-DISI-2010-KolellG #enterprise #workflow
Workflow Management Issues in Virtual Enterprise Networks (AK, JAG), pp. 23–31.
ICEISICEIS-DISI-2010-ObermeierB #ad hoc #constraints #mobile #transaction
Constraint Checking for Non-blocking Transaction Processing in Mobile Ad-hoc Networks (SO, SB), pp. 166–175.
ICEISICEIS-DISI-2010-Zhang #internet
Wireless Sensor Networks (WSN) and Internet of Things (IOT) (RZ), p. 7.
ICEISICEIS-HCI-2010-ReisBB #challenge #social
New Perspectives for Search in Social Networks — A Challenge for Inclusion (JCdR, RB, MCCB), pp. 53–62.
ICEISICEIS-ISAS-2010-GradlMWK #enterprise #modelling #process #using
Modeling ERP Business Processes using Layered Queueing Networks (SG, MM, HW, HK), pp. 255–260.
ICEISICEIS-J-2010-KolellG10a #enterprise #workflow
Workflow Management Issues in Virtual Enterprise Networks (AK, JAG), pp. 48–59.
ICEISICEIS-J-2010-ReisBB10a #social
Prospecting an Inclusive Search Mechanism for Social Network Services (JCdR, RB, MCCB), pp. 555–570.
ICEISICEIS-SAIC-2010-MatCS #approach #collaboration
Selecting Partners for Collaborative Networks — Mixed Methods Approach (NACM, YC, HS), pp. 122–128.
CIKMCIKM-2010-BhattCP #predict #scalability #social
Predicting product adoption in large-scale social networks (RB, VC, RP), pp. 1039–1048.
CIKMCIKM-2010-ChenLZY #energy #query
Energy-efficient top-k query processing in wireless sensor networks (BC, WL, RZ, JXY), pp. 329–338.
CIKMCIKM-2010-ChrysakisCP #algorithm #evaluation #peer-to-peer #query #using
Evaluation of top-k queries in peer-to-peer networks using threshold algorithms (IC, CC, DP), pp. 1305–1308.
CIKMCIKM-2010-ComarTJ #learning #multi
Multi task learning on multiple related networks (PMC, PNT, AKJ), pp. 1737–1740.
CIKMCIKM-2010-FreniVMBJ #privacy
Preserving location and absence privacy in geo-social networks (DF, CRV, SM, CB, CSJ), pp. 309–318.
CIKMCIKM-2010-GanevGSBS #social #visualisation
Exploring and visualizing academic social networks (VG, ZG, DS, DB, ES), pp. 1963–1964.
CIKMCIKM-2010-HuangSHDSL #algorithm #clustering #community #detection #named
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks (JH, HS, JH, HD, YS, YL), pp. 219–228.
CIKMCIKM-2010-KameshwaranPMVD #interactive #ranking
Outcome aware ranking in interaction networks (SK, VP, SM, NV, KD), pp. 229–238.
CIKMCIKM-2010-KotaN #behaviour #social
Threshold behavior of incentives in social networks (NK, YN), pp. 1461–1464.
CIKMCIKM-2010-KunegisFB #evolution
Network growth and the spectral evolution model (JK, DF, CB), pp. 739–748.
CIKMCIKM-2010-LeungLLW #mining #social
Mining interesting link formation rules in social networks (CWkL, EPL, DL, JW), pp. 209–218.
CIKMCIKM-2010-LiuTHJY #mining #topic
Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
CIKMCIKM-2010-MaiyaB
Expansion and search in networks (ASM, TYBW), pp. 239–248.
CIKMCIKM-2010-ParkSYRY #performance #query
An efficient data-centric storage scheme considering storage and query hot-spots in sensor networks (YP, DS, JY, CTR, JY), pp. 1325–1328.
CIKMCIKM-2010-RonenS #automation #datalog #interactive #social
Automated interaction in social networks with datalog (RR, OS), pp. 1273–1276.
CIKMCIKM-2010-RonenS10a #concurrent #protocol #social
Concurrent atomic protocols for making and changing decisions in social networks (RR, OS), pp. 1337–1340.
CIKMCIKM-2010-SeseSF #mining
Mining networks with shared items (JS, MS, MF), pp. 1681–1684.
CIKMCIKM-2010-SzumlanskiG #automation #concept #semantics
Automatically acquiring a semantic network of related concepts (SRS, FG), pp. 19–28.
CIKMCIKM-2010-TianHZLL #social
Boosting social network connectivity with link revival (YT, QH, QZ, XL, WCL), pp. 589–598.
CIKMCIKM-2010-TripathyBM #case study #social
A study of rumor control strategies on social networks (RMT, AB, SM), pp. 1817–1820.
CIKMCIKM-2010-YangGCTLZS #behaviour #comprehension #social #twitter
Understanding retweeting behaviors in social networks (ZY, JG, KC, JT, JL, LZ, ZS), pp. 1633–1636.
ECIRECIR-2010-PapapetrouSF #clustering #peer-to-peer #probability
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees (OP, WS, NF), pp. 293–305.
ICMLICML-2010-DavisD #bottom-up #learning #markov
Bottom-Up Learning of Markov Network Structure (JD, PMD), pp. 271–278.
ICMLICML-2010-DondelingerLH #flexibility #information management
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing (FD, SL, DH), pp. 303–310.
ICMLICML-2010-GrubbB #composition #learning
Boosted Backpropagation Learning for Training Deep Modular Networks (AG, JAB), pp. 407–414.
ICMLICML-2010-JiXYY #3d #recognition
3D Convolutional Neural Networks for Human Action Recognition (SJ, WX, MY, KY), pp. 495–502.
ICMLICML-2010-KokD #learning #logic #markov #using
Learning Markov Logic Networks Using Structural Motifs (SK, PMD), pp. 551–558.
ICMLICML-2010-TangE #recognition #robust #visual notation
Deep networks for robust visual recognition (YT, CE), pp. 1055–1062.
ICPRICPR-2010-AhmadNSNN #distributed #estimation #on the
On Clock Offset Estimation in Wireless Sensor Networks with Weibull Distributed Network Delays (AA, AN, ES, HNN, MNN), pp. 2322–2325.
ICPRICPR-2010-AzarM #automation #image #sequence #using
Automated Tracking of the Carotid Artery in Ultrasound Image Sequences Using a Self Organizing Neural Network (JCA, HHM), pp. 2544–2547.
ICPRICPR-2010-Bouchaffra
Topological Dynamic Bayesian Networks (DB), pp. 898–901.
ICPRICPR-2010-DengSS #detection #pattern matching #pattern recognition #recognition
Applying Error-Correcting Output Coding to Enhance Convolutional Neural Network for Target Detection and Pattern Recognition (HD, GS, CYS), pp. 4291–4294.
ICPRICPR-2010-EscolanoLH #complexity
Heat Flow-Thermodynamic Depth Complexity in Networks (FE, MAL, ERH), pp. 1578–1581.
ICPRICPR-2010-FaselB #realtime #speech
Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech (IF, JB), pp. 1493–1496.
ICPRICPR-2010-GargiuloS #classification #performance
Improving Performance of Network Traffic Classification Systems by Cleaning Training Data (FG, CS), pp. 2768–2771.
ICPRICPR-2010-GuptaD #communication #detection #social
Detection and Characterization of Anomalous Entities in Social Communication Networks (NG, LD), pp. 738–741.
ICPRICPR-2010-LawalAM #abduction #classification #recognition #using
Recognition of Handwritten Arabic (Indian) Numerals Using Freeman’s Chain Codes and Abductive Network Classifiers (IAL, REAA, SAM), pp. 1884–1887.
ICPRICPR-2010-LiBN #on the #performance
On the Performance of Handoff and Tracking in a Camera Network (YL, BB, VN), pp. 3645–3648.
ICPRICPR-2010-MezghaniPMLG #order
A Computer-Aided Method for Scoliosis Fusion Level Selection by a Topologicaly Ordered Self Organizing Kohonen Network (NM, PP, AM, HL, JAdG), pp. 4012–4015.
ICPRICPR-2010-ParkY #analysis #approach #game studies #social
Social Network Approach to Analysis of Soccer Game (KJP, AY), pp. 3935–3938.
ICPRICPR-2010-Perez-CarrascoSASL #realtime
Spike-Based Convolutional Network for Real-Time Processing (JAPC, CS, BA, TSG, BLB), pp. 3085–3088.
ICPRICPR-2010-PhilippotBB #algorithm #classification #learning #online
Bayesian Networks Learning Algorithms for Online Form Classification (EP, YB, AB), pp. 1981–1984.
ICPRICPR-2010-PrasadKBRMN #recognition
Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition (RP, MK, DB, AVIR, SM, PN), pp. 2861–2864.
ICPRICPR-2010-SeyedhosseiniPT #classification #image #parsing
Image Parsing with a Three-State Series Neural Network Classifier (MS, ARCP, TT), pp. 4508–4511.
ICPRICPR-2010-SirmacekU #detection #using
Road Network Extraction Using Edge Detection and Spatial Voting (BS, ), pp. 3113–3116.
ICPRICPR-2010-TakalaCP #clustering #sequence
Boosting Clusters of Samples for Sequence Matching in Camera Networks (VT, YC, MP), pp. 400–403.
ICPRICPR-2010-TurkerKG #classification #image #using
Classification of Polarimetric SAR Images Using Evolutionary RBF Networks (TI, SK, MG), pp. 4324–4327.
ICPRICPR-2010-UyarBCB #development #predict
Bayesian Networks for Predicting IVF Blastocyst Development (AU, ABB, HNC, MB), pp. 2772–2775.
ICPRICPR-2010-VajdaF #performance
Exploring Pattern Selection Strategies for Fast Neural Network Training (SV, GAF), pp. 2913–2916.
ICPRICPR-2010-Vazquez-SantacruzB #geometry
A Geometric Radial Basis Function Network for Robot Perception and Action (EVS, EBC), pp. 2961–2964.
ICPRICPR-2010-ZhouCW #classification #quantum
Deep Quantum Networks for Classification (SZ, QC, XW), pp. 2885–2888.
KDDKDD-2010-ChenWW #scalability #social
Scalable influence maximization for prevalent viral marketing in large-scale social networks (WC, CW, YW), pp. 1029–1038.
KDDKDD-2010-ChuaL #generative #modelling #online #rating #trust #using
Trust network inference for online rating data using generative models (FCTC, EPL), pp. 889–898.
KDDKDD-2010-GaoLFWSH #community #detection #on the #performance
On community outliers and their efficient detection in information networks (JG, FL, WF, CW, YS, JH), pp. 813–822.
KDDKDD-2010-Gomez-RodriguezLK
Inferring networks of diffusion and influence (MGR, JL, AK), pp. 1019–1028.
KDDKDD-2010-LappasTGM #social
Finding effectors in social networks (TL, ET, DG, HM), pp. 1059–1068.
KDDKDD-2010-MaserratP #query #social
Neighbor query friendly compression of social networks (HM, JP), pp. 533–542.
KDDKDD-2010-MeiGR #named
DivRank: the interplay of prestige and diversity in information networks (QM, JG, DRR), pp. 1009–1018.
KDDKDD-2010-MiaoMYTCA #generative #modelling
Generative models for ticket resolution in expert networks (GM, LEM, XY, ST, YC, NA), pp. 733–742.
KDDKDD-2010-WangCSX #algorithm #mining #mobile #social
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks (YW, GC, GS, KX), pp. 1039–1048.
KDDKDD-2010-WangHJTZYG #mining #research
Mining advisor-advisee relationships from research publication networks (CW, JH, YJ, JT, DZ, YY, JG), pp. 203–212.
KDDKDD-2010-ZhengSTLLCH #data mining #mining #using
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks (LZ, CS, LT, TL, SL, SCC, VH), pp. 125–134.
KDIRKDIR-2010-EjbaliZA #approach #recognition #word
Intelligent Approach to Train Wavelet Networks for Recognition System of Arabic Words (RE, MZ, CBA), pp. 518–522.
KDIRKDIR-2010-KaiserSB #approach #fuzzy #online #social
Discovering Critical Situations in Online Social Networks — A Neuro Fuzzy Approach to Alert Marketing Managers (CK, SS, FB), pp. 56–64.
KDIRKDIR-2010-MautnerM #categorisation #comparison #documentation
Comparison of Neural Networks used for Processing and Categorization of Czech Written Documents (PM, RM), pp. 510–513.
KDIRKDIR-2010-Onem #behaviour #classification #detection
Unwanted Behaviour Detection and Classification in Network Traffic (IMÖ), pp. 122–128.
KDIRKDIR-2010-OzekiKT #analysis #multi
Multi-modal Analysis of Complex Network — Point Stimulus Response Depending on Its Location in the Network (TO, TK, YT), pp. 226–231.
KDIRKDIR-2010-ParviainenRML #approximate #infinity #learning
Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network (EP, JR, YM, AL), pp. 65–73.
KEODKEOD-2010-ChatterjeeB #documentation #random #summary #using
Single Document Text Summarization using Random Indexing and Neural Networks (NC, AB), pp. 171–176.
KEODKEOD-2010-NairM #multi #using
Informledge System — A Modified Knowledge Network with Autonomous Nodes using Multi-lateral Links (TRGN, MM), pp. 351–354.
KMISKMIS-2010-GubbinsD #information management #social
The Influence of Social Networks on Knowledge Management for Innovation in Life-science Discovery Networks (CG, LD), pp. 182–188.
KMISKMIS-2010-HoH #effectiveness #library #social
Effectiveness of Social Networking in a University Library Environment (HIH, JH), pp. 307–310.
KMISKMIS-2010-WiilGM #analysis #information management
CrimeFighter Assistant — A Knowledge Management Tool for Terrorist Network Analysis (UKW, JG, NM), pp. 15–24.
KMISKMIS-2010-ZyglarskiB #keyword #markov #natural language
Keywords Extraction — Selecting Keywords in Natural Language Texts with Markov Chains and Neural Networks (BZ, PB), pp. 315–321.
KRKR-2010-CondottaL #constraints
A Class of df-Consistencies for Qualitative Constraint Networks (JFC, CL).
KRKR-2010-GebserGISSTV #biology #consistency #nondeterminism #predict #programming #scalability #set
Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming (MG, CG, MI, TS, AS, ST, PV).
RecSysRecSys-2010-DalyGM #recommendation #social
The network effects of recommending social connections (EMD, WG, DRM), pp. 301–304.
RecSysRecSys-2010-FreyneBDG #recommendation #social
Social networking feeds: recommending items of interest (JF, SB, EMD, WG), pp. 277–280.
RecSysRecSys-2010-JamaliE #matrix #recommendation #social #trust
A matrix factorization technique with trust propagation for recommendation in social networks (MJ, ME), pp. 135–142.
RecSysRecSys-2010-LappasG #interactive #recommendation #social
Interactive recommendations in social endorsement networks (TL, DG), pp. 127–134.
RecSysRecSys-2010-SymeonidisTM #predict #similarity #social #transitive
Transitive node similarity for link prediction in social networks with positive and negative links (PS, ET, YM), pp. 183–190.
RecSysRecSys-2010-VasukiNLD #recommendation #using
Affiliation recommendation using auxiliary networks (VV, NN, ZL, ISD), pp. 103–110.
SEKESEKE-2010-AlhassanCB #analysis #fault #people #social
Do More People Make the Code More Defect Prone?: Social Network Analysis in OSS Projects (SA, BC, ABB), pp. 93–98.
SEKESEKE-2010-BackerM #algorithm
Evaluating the Weighted Sum Algorithm for Estimating Conditional Probabilities in Bayesian Networks (SB, EM), pp. 319–324.
SEKESEKE-2010-ChangH #multi
A Multi-Agent Model for a Business Continuity Information Network (LC, XH), pp. 657–663.
SEKESEKE-2010-GoelXS #multi #online #verification
A Multi-State Bayesian Network for Shill Verification in Online Auctions (AG, HX, SMS), pp. 279–285.
SEKESEKE-2010-Pelaez #convergence #forensics #modelling
A Pattern Methodology for Modeling Network Forensic Investigations in Converged Tactical Environments (JCP), pp. 777–782.
SEKESEKE-2010-ThovexT #analysis #approach #modelling #multi #semantics #social
Dynamic and semantic social networks analysis: a new model based on a multidisciplinary approach (CT, FT), pp. 548–552.
SIGIRSIGIR-2010-Fang #information management
Entity information management in complex networks (YF), p. 917.
SIGIRSIGIR-2010-KeM #effectiveness #information retrieval #performance #scalability
Scalability of findability: effective and efficient IR operations in large information networks (WK, JM), pp. 74–81.
ECMFAECMFA-2010-JohannesF #abstraction #composition #framework #modelling #reuse #using
Adding Abstraction and Reuse to a Network Modelling Tool Using the Reuseware Composition Framework (JJ, MAF), pp. 132–143.
TOOLSTOOLS-EUROPE-2010-CarretonMCM #ad hoc #distributed #mobile #programming
Loosely-Coupled Distributed Reactive Programming in Mobile Ad Hoc Networks (ALC, SM, TVC, WDM), pp. 41–60.
ICSEICSE-2010-EsfahaniM #adaptation #paradigm #pervasive #self #social
Social computing networks: a new paradigm for engineering self-adaptive pervasive software systems (NE, SM), pp. 159–162.
ICSEICSE-2010-LimQF #named #scalability #social #using
StakeNet: using social networks to analyse the stakeholders of large-scale software projects (SLL, DQ, AF), pp. 295–304.
ICSEICSE-2010-LimQF10a #analysis #crowdsourcing #named #power of #social
StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis (SLL, DQ, AF), pp. 239–242.
SACSAC-2010-AquinoOW #algorithm
A wavelet-based sampling algorithm for wireless sensor networks applications (ALLdA, RARO, EFW), pp. 1604–1608.
SACSAC-2010-AyyappanWN #algorithm #constraints #learning #named #scalability
MICHO: a scalable constraint-based algorithm for learning Bayesian networks (MA, YKW, WKN), pp. 985–989.
SACSAC-2010-BraynerCS #approach #detection #energy #quality #query #requirements
Dealing with application requirements and energy consumption in wireless sensor networks: a novelty detection approach for quality of query services (AB, ALVC, KMdS), pp. 786–790.
SACSAC-2010-CaoWWH #approach #composition #named #social
OASNET: an optimal allocation approach to influence maximization in modular social networks (TC, XW, SW, XH), pp. 1088–1094.
SACSAC-2010-ClaycombLSK #policy #security
A group-based security policy for wireless sensor networks (WC, RL, DS, BK), pp. 778–785.
SACSAC-2010-Coen-PorisiniCS
Dealing with anonymity in wireless sensor networks (ACP, PC, SS), pp. 2216–2223.
SACSAC-2010-DomanPD #fuzzy #query
Leveraging fuzzy query processing to support applications in wireless sensor networks (MD, JP, TD), pp. 764–771.
SACSAC-2010-ElliottMCOO #database #interface #query
Advanced querying interface for biochemical network databases (BE, SM, AC, , ZMÖ), pp. 1526–1533.
SACSAC-2010-GaberS #classification #data type #distributed
Distributed data stream classification for wireless sensor networks (MMG, AMS), pp. 1629–1630.
SACSAC-2010-GrossklagsRCC #named #security
Nudge: intermediaries’ role in interdependent network security (JG, SR, AAC, JC), pp. 1879–1880.
SACSAC-2010-GuoQL #configuration management #energy #optimisation #using
A general energy optimization model for wireless networks using configurable antennas (SG, ZQ, SL), pp. 246–250.
SACSAC-2010-HarshCN #generative #towards
Gray networking: a step towards next generation computer networks (PH, RC, REN), pp. 1323–1328.
SACSAC-2010-HarshN #approach #architecture #independence #multi
Mode independent session directory service architecture: a unified approach for ASM and SSM multicast networks (PH, REN), pp. 647–654.
SACSAC-2010-HautakorpiM #algorithm #using
Load balancing for structured P2P networks using the advanced finger selection algorithm (AFSA) (JH, JM), pp. 655–662.
SACSAC-2010-HedgecockVLKAST #mobile #monitoring
Mobile air pollution monitoring network (WH, PV, ÁL, XDK, AA, ASS, AT), pp. 795–796.
SACSAC-2010-JungCKCGK #interface #multi #protocol #stack
Virtual protocol stack interface for multiple wireless sensor network simulators (JJ, YC, YK, YC, BG, JK), pp. 240–241.
SACSAC-2010-KimKMY #multi #predict #probability #using
Probabilistic context prediction using time-inferred multiple pattern networks (YHK, WK, KM, YY), pp. 1015–1019.
SACSAC-2010-LeeKL #personalisation #taxonomy
Applying taxonomic knowledge to Bayesian belief network for personalized search (JwL, HjK, SgL), pp. 1796–1801.
SACSAC-2010-LeePKKS #hybrid #policy #retrieval
A hybrid prefetch policy for the retrieval of link-associated information on vehicular networks (JL, GLP, SWK, HJK, SYS), pp. 189–193.
SACSAC-2010-LenzLS #named #streaming #video
SeRViSO: a selective retransmission scheme for video streaming in overlay networks (CEL, LCL, FAS), pp. 694–698.
SACSAC-2010-LiuHLW #consistency #migration #virtual machine
Network state consistency of virtual machine in live migration (XL, JH, QL, TW), pp. 727–728.
SACSAC-2010-MatosBM #predict #towards
Towards in-network data prediction in wireless sensor networks (TBM, AB, JEBM), pp. 592–596.
SACSAC-2010-MatthysAHMJH #data access #fine-grained #towards
Towards fine-grained and application-centric access control for wireless sensor networks (NM, SRA, CH, SM, WJ, DH), pp. 793–794.
SACSAC-2010-MelchiorsSMSPGT #distributed
A network polling solution through a P2P-based distributed management environment (CM, AHdS, DM, CRPdS, AP, LZG, LMRT), pp. 729–730.
SACSAC-2010-MiaoOWS #distributed #using
Coverage-hole trap model in target tracking using distributed relay-robot network (HM, CCO, XW, CS), pp. 1299–1304.
SACSAC-2010-MohamedA #ad hoc #framework #novel
Novel immune-based framework for securing ad hoc networks (YAM, ABA), pp. 1950–1957.
SACSAC-2010-MulasACFQF #adaptation #energy
Network-adaptive management of computation energy in wireless sensor networks (FM, AA, SC, GF, DQ, FF), pp. 756–763.
SACSAC-2010-NaceraHAM #ad hoc #clustering
A new two level hierarchy structuring for node partitioning in ad hoc networks (BN, HG, HA, MM), pp. 719–726.
SACSAC-2010-NinagawaE #modelling #predict #probability #using
Link prediction using probabilistic group models of network structure (AN, KE), pp. 1115–1116.
SACSAC-2010-OliverSF #abstraction #operating system
An operating system abstraction layer for portable applications in wireless sensor networks (RSO, IS, GF), pp. 742–748.
SACSAC-2010-RibeiroS #data type #named #performance
g-tries: an efficient data structure for discovering network motifs (PMPR, FMAS), pp. 1559–1566.
SACSAC-2010-SardanaJ
Dual-level defense for networks under DDoS attacks (AS, RCJ), pp. 733–734.
SACSAC-2010-SatzgerBKU #lightweight #self #towards
Towards lightweight self-configuration in wireless sensor networks (BS, FB, FK, TU), pp. 791–792.
SACSAC-2010-SchutzC #approach #fault tolerance #hybrid #multi #optimisation
A multi-objective optimization approach for fault-tolerance provisioning in multi-radio hybrid wireless-optical broadband access networks (GS, NSCC), pp. 635–640.
SACSAC-2010-SenguptaMS #multi #named #protocol
MMSRP: multi-wavelength Markov-based split reservation protocol for DWDM optical networks (MS, SKM, DS), pp. 689–693.
SACSAC-2010-ShinLKLI #database #nearest neighbour #performance
Efficient shortest path finding of k-nearest neighbor objects in road network databases (SHS, SCL, SWK, JL, EGI), pp. 1661–1665.
SACSAC-2010-Sobernig #feature model #interactive
Feature interaction networks (SS), pp. 2360–2364.
SACSAC-2010-SorniottiM #facebook #implementation #social
Secret interest groups (SIGs) in social networks with an implementation on Facebook (AS, RM), pp. 621–628.
SACSAC-2010-TeixeiraG #algorithm #scheduling
Uplink scheduling algorithm with dynamic polling management in IEEE 802.16 broadband wireless networks (MAT, PRG), pp. 601–602.
SACSAC-2010-WibisonoLZ #ad hoc #collaboration #framework #mobile
Collaborative context management framework for mobile ad hoc network environments (WW, SL, ABZ), pp. 558–562.
SACSAC-2010-YadavS #framework #named #trust
iTrust: an integrated trust framework for wireless sensor networks (KY, AS), pp. 1466–1471.
SACSAC-2010-YasarMPLCB #information management #interactive #people #scalability #social
Where people and cars meet: social interactions to improve information sharing in large scale vehicular networks (AUHY, NM, DP, KL, KC, YB), pp. 1188–1194.
SACSAC-2010-ZhouS #ad hoc #energy #performance #throughput #towards
Towards higher throughput and energy efficiency in dense wireless ad hoc and sensor networks (WZ, RS), pp. 749–755.
CASECASE-2010-AnandFLM #distributed #implementation #using
A practical implementation of distributed system control over an asynchronous Ethernet network using time stamped data (DMA, JGF, YSLB, JRM), pp. 515–520.
CASECASE-2010-CoppBHTVR #automation #monitoring #quality #towards
Towards the automation of water quality monitoring networks (JBC, EB, CH, MT, PAV, LR), pp. 491–496.
CASECASE-2010-CostantinoDFFMSU #design
A model for the strategic design of Distribution Networks (NC, MD, MF, MPF, AMM, FS, WU), pp. 406–411.
CASECASE-2010-SouzaPC #analysis #distributed #implementation #predict
Distributed model predictive control applied to urban traffic networks: Implementation, experimentation, and analysis (FAdS, VBP, EC), pp. 399–405.
DACDAC-2010-Ababei #design #modelling #optimisation #using
Network on chip design and optimization using specialized influence models (CA), pp. 625–626.
DACDAC-2010-ChoRXP #using
History-based VLSI legalization using network flow (MC, HR, HX, RP), pp. 286–291.
DACDAC-2010-DeOrioB #automation #design #social
Electronic design automation for social networks (AD, VB), pp. 621–622.
DACDAC-2010-GoossensH #evolution
The aethereal network on chip after ten years: goals, evolution, lessons, and future (KG, AH), pp. 306–311.
DACDAC-2010-HuangCKT #named #predict
NTPT: on the end-to-end traffic prediction in the on-chip networks (YSCH, KCKC, CTK, SYT), pp. 449–452.
DACDAC-2010-Koushanfar #hybrid #power management
Hierarchical hybrid power supply networks (FK), pp. 629–630.
DACDAC-2010-MicheliSMBAP #research
Networks on Chips: from research to products (GDM, CS, SM, LB, FA, AP), pp. 300–305.
DACDAC-2010-ModarressiST #architecture #configuration management #performance
An efficient dynamically reconfigurable on-chip network architecture (MM, HSA, AT), pp. 166–169.
DACDAC-2010-YoonCPC #analysis #comparative #multi #physics
Virtual channels vs. multiple physical networks: a comparative analysis (YJY, NC, MP, LPC), pp. 162–165.
DACDAC-2010-ZengYFL #analysis #delivery #optimisation #power management #trade-off
Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation (ZZ, XY, ZF, PL), pp. 831–836.
DACDAC-2010-ZhangL #manycore
A multilayer nanophotonic interconnection network for on-chip many-core communications (XZ, AL), pp. 156–161.
DATEDATE-2010-Barker #aspect-oriented #security
Security aspects in 6lowPan networks (RB), p. 660.
DATEDATE-2010-BauerSF #analysis #worst-case
Worst-case end-to-end delay analysis of an avionics AFDX network (HB, JLS, CF), pp. 1220–1224.
DATEDATE-2010-ChanHBBC #analysis #named
PhoenixSim: A simulator for physical-layer analysis of chip-scale photonic interconnection networks (JC, GH, AB, KB, LPC), pp. 691–696.
DATEDATE-2010-DammMHG #modelling #simulation #transaction #using
Using Transaction Level Modeling techniques for wireless sensor network simulation (MD, JM, JH, CG), pp. 1047–1052.
DATEDATE-2010-FerentSGD #approach #embedded #linear #programming
Linear programming approach for performance-driven data aggregation in networks of embedded sensors (CF, VS, MG, AD), pp. 1456–1461.
DATEDATE-2010-JungP #nondeterminism #optimisation #power management
Optimizing the power delivery network in dynamically voltage scaled systems with uncertain power mode transition times (HJ, MP), pp. 351–356.
DATEDATE-2010-JunYC #library #multi #synthesis
Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network (MJ, SY, EYC), pp. 1390–1395.
DATEDATE-2010-KarnerASW #runtime #simulation #using
Holistic simulation of FlexRay networks by using run-time model switching (MK, EA, CS, RW), pp. 544–549.
DATEDATE-2010-KiladaS #design #generative #latency
Control network generator for latency insensitive designs (EK, KSS), pp. 1773–1778.
DATEDATE-2010-LeeM #named #optimisation
Contango: Integrated optimization of SoC clock networks (DL, ILM), pp. 1468–1473.
DATEDATE-2010-LongM #bias #monitoring #optimisation
Optimization of the bias current network for accurate on-chip thermal monitoring (JL, SOM), pp. 1365–1368.
DATEDATE-2010-MeijerNS #modelling #process #throughput
Throughput modeling to evaluate process merging transformations in polyhedral process networks (SM, HN, TS), pp. 747–752.
DATEDATE-2010-ProssGMJLHKS #configuration management
Demonstration of an in-band reconfiguration data distribution and network node reconfiguration (UP, SG, EM, MJ, JL, UH, JK, AS), pp. 614–617.
DATEDATE-2010-TraubSKB
Scenario extraction for a refined timing-analysis of automotive network topologies (MT, TS, OK, JB), pp. 81–86.
DATEDATE-2010-ZebeleinFHTD #modelling #performance
Efficient High-Level modeling in the networking domain (CZ, JF, CH, JT, RD), pp. 1189–1194.
HPCAHPCA-2010-DongYLLTG #performance
High performance network virtualization with SR-IOV (YD, XY, XL, JL, KT, HG), pp. 1–10.
HPCAHPCA-2010-UdipiMB #energy #scalability #towards
Towards scalable, energy-efficient, bus-based on-chip networks (ANU, NM, RB), pp. 1–12.
HPDCHPDC-2010-AppavooWSURHSWS #framework
Providing a cloud network infrastructure on a supercomputer (JA, AW, DDS, VU, BSR, EVH, JS, RWW, US), pp. 385–394.
HPDCHPDC-2010-JardakROM #parallel #scalability
Parallel processing of data from very large-scale wireless sensor networks (CJ, JR, FO, PM), pp. 787–794.
HPDCHPDC-2010-JongCLPS #ad hoc
Storage deduplication for Virtual Ad Hoc Network testbed by File-level Block Sharing (CHJ, CYJC, TL, AP, CS), pp. 699–706.
HPDCHPDC-2010-KettimuthuSGABBCCDFHHLLLMNPRRWWW #grid #lessons learnt #set
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network (RK, AS, DG, BA, PTB, JB, AC, LC, ED, ITF, KH, JH, JL, ML, JL, KM, VN, VP, KR, DR, DNW, LW, LW), pp. 316–319.
HPDCHPDC-2010-RajannaSJLG #clustering #coordination #in the cloud #named #platform
XCo: explicit coordination to prevent network fabric congestion in cloud computing cluster platforms (VSR, SS, AJ, CL, KG), pp. 252–263.
HPDCHPDC-2010-StoutFMG #clustering #scalability #using
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system (LS, MF, MAM, SG), pp. 692–698.
HPDCHPDC-2010-WojciechowskiCPI #named #towards
BTWorld: towards observing the global BitTorrent file-sharing network (MW, MC, JAP, AI), pp. 581–588.
LCTESLCTES-2010-ViskicLG #automation #design #framework #generative #platform #process
Design exploration and automatic generation of MPSoC platform TLMs from Kahn Process Network applications (IV, LY, DG), pp. 77–84.
OSDIOSDI-2010-KoponenCGSPZRIIHS #distributed #framework #named #platform #scalability
Onix: A Distributed Control Platform for Large-scale Production Networks (TK, MC, NG, JS, LP, MZ, RR, YI, HI, TH, SS), pp. 351–364.
OSDIOSDI-2010-PopaERS #rule-based
Building Extensible Networks with Rule-Based Forwarding (LP, NE, SR, IS), pp. 379–392.
OSDIOSDI-2010-SherwoodGYACMP #question
Can the Production Network Be the Testbed? (RS, GG, KKY, GA, MC, NM, GMP), pp. 365–378.
PDPPDP-2010-EbrahimiDLPT #architecture #interface #using
A High-Performance Network Interface Architecture for NoCs Using Reorder Buffer Sharing (ME, MD, PL, JP, HT), pp. 546–550.
PDPPDP-2010-MasonGC #architecture #evaluation #parallel #security
Evaluation of a Massively Parallel Architecture for Network Security Applications (BCM, DG, CLC), pp. 85–91.
PDPPDP-2010-SkopikSD #enterprise #interactive #scalability
Trusted Interaction Patterns in Large-scale Enterprise Service Networks (FS, DS, SD), pp. 367–374.
PDPPDP-2010-StriglKP #performance #scalability
Performance and Scalability of GPU-Based Convolutional Neural Networks (DS, KK, SP), pp. 317–324.
PDPPDP-2010-SunWC #approach #clustering #coordination #graph
A Graph Clustering Approach to Computing Network Coordinates (YS, BW, KC), pp. 129–136.
PDPPDP-2010-TaktakED #algorithm #polynomial
A Polynomial Algorithm to Prove Deadlock-Freeness of Wormhole Networks (ST, EE, JLD), pp. 121–128.
PDPPDP-2010-ZarzaLFL #fault #named #performance
FT-DRB: A Method for Tolerating Dynamic Faults in High-Speed Interconnection Networks (GZ, DL, DF, EL), pp. 77–84.
PDPPDP-2010-ZarzaLFL10a #concurrent #fault #multi
Deadlock Avoidance for Interconnection Networks with Multiple Dynamic Faults (GZ, DL, DF, EL), pp. 276–280.
PPoPPPPoPP-2010-RadojkovicCVPCNV #concurrent #parallel #thread
Thread to strand binding of parallel network applications in massive multi-threaded systems (PR, VC, JV, AP, FJC, MN, MV), pp. 191–202.
ESOPESOP-2010-Wenner #automaton
Weighted Dynamic Pushdown Networks (AW), pp. 590–609.
STOCSTOC-2010-FraigniaudG #on the
On the searchability of small-world networks with arbitrary underlying structure (PF, GG), pp. 389–398.
STOCSTOC-2010-KuhnLO #distributed
Distributed computation in dynamic networks (FK, NAL, RO), pp. 513–522.
CAVCAV-2010-MeyerS #named
Petruchio: From Dynamic Networks to Nets (RM, TS), pp. 175–179.
CAVCAV-2010-PulinaT #abstraction #approach #verification
An Abstraction-Refinement Approach to Verification of Artificial Neural Networks (LP, AT), pp. 243–257.
ICLPICLP-2010-ShakarianSS10 #optimisation #problem #social #source code #using
Using Generalized Annotated Programs to Solve Social Network Optimization Problems (PS, VSS, MLS), pp. 182–191.
ICTSSICTSS-2010-ShinboTAHS #performance #testing
Practical End-to-End Performance Testing Tool for High Speed 3G-Based Networks (HS, AT, SA, TH, KS), pp. 205–220.
WICSA-ECSAWICSA-ECSA-2009-NavarroCP #architecture #weaving
Weaving a network of architectural knowledge (EN, CEC, DEP), pp. 241–244.
DRRDRR-2009-Likforman-SulemS #classification #recognition
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters (LLS, MS), pp. 1–10.
TPDLECDL-2009-BuccioMM #effectiveness #information retrieval #peer-to-peer #query
Improving Information Retrieval Effectiveness in Peer-to-Peer Networks through Query Piggybacking (EDB, IM, MM), pp. 420–424.
TPDLECDL-2009-PalmerWWKRH #library #personalisation
Digital Libraries, Personalisation, and Network Effects — Unpicking the Paradoxes (JP, CW, PW, DK, DR, BHD), p. 377.
HTHT-2009-Ammann #community
Jorn barger, the newspage network and the emergence of the weblog community (RA), pp. 279–288.
HTHT-2009-BoellaTV #metric #social
Four measures for the dynamics of coalitions in social networks (GB, LWNvdT, SV), pp. 361–362.
HTHT-2009-CarmagnolaLB #facebook #similarity #social
Vcast on facebook: bridging social and similarity networks (FC, AL, GB), pp. 329–330.
HTHT-2009-Murata
Modularities for bipartite networks (TM), pp. 245–250.
HTHT-2009-NeubauerO #component
Hyperincident connected components of tagging networks (NN, KO), pp. 229–238.
HTHT-2009-RafelsbergerS #game studies #platform #social
Games with a purpose for social networking platforms (WR, AS), pp. 193–198.
HTHT-2009-RosenC #analysis #social
Social network analysis in virtual environments (DR, MC), pp. 317–322.
HTHT-2009-StewartDNMNS #personalisation #social
Cross-tagging for personalized open social networking (AS, EDA, WN, LBM, AN, LST), pp. 271–278.
ICDARICDAR-2009-BarratT #image #modelling #using
Modeling, Classifying and Annotating Weakly Annotated Images Using Bayesian Network (SB, ST), pp. 1201–1205.
ICDARICDAR-2009-DengSS #recognition
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition (HD, GS, CYS), pp. 581–585.
ICDARICDAR-2009-FrinkenB #learning #recognition #word
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition (VF, HB), pp. 31–35.
ICDARICDAR-2009-LuqmanBR #classification #graph #recognition #using
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier (MML, TB, JYR), pp. 1325–1329.
ICDARICDAR-2009-StefanoFFM #classification #evolution #learning
Learning Bayesian Networks by Evolution for Classifier Combination (CDS, FF, ASdF, AM), pp. 966–970.
JCDLJCDL-2009-CartledgeN
Unsupervised creation of small world networks for the preservation of digital objects (CLC, MLN), pp. 349–352.
SIGMODSIGMOD-2009-ChenSZY #monitoring #nearest neighbour
Monitoring path nearest neighbor in road networks (ZC, HTS, XZ, JXY), pp. 591–602.
SIGMODSIGMOD-2009-FrankeG #detection #named
ORDEN: outlier region detection and exploration in sensor networks (CF, MG), pp. 1075–1078.
VLDBVLDB-2009-BorisovBURS #database #named #problem
DIADS: A Problem Diagnosis Tool for Databases and Storage Area Networks (NB, SB, SU, RR, AS), pp. 1546–1549.
VLDBVLDB-2009-CormodeSBK #graph #social
Class-based graph anonymization for social network data (GC, DS, SB, BK), pp. 766–777.
VLDBVLDB-2009-KimH #clustering
A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
VLDBVLDB-2009-LiuDDLZ #monitoring #named #realtime #scalability
MOIR/MT: Monitoring Large-Scale Road Network Traffic in Real-Time (KL, KD, ZD, ML, XZ), pp. 1538–1541.
VLDBVLDB-2009-LiuLGF #approximate #query
Enabling epsilon-Approximate Querying in Sensor Networks (YL, JL, HG, XF), pp. 169–180.
VLDBVLDB-2009-SankaranarayananSA
Path Oracles for Spatial Networks (JS, HS, HA), pp. 1210–1221.
VLDBVLDB-2009-SarigolRSA #ad hoc #mobile #social
Enabling social networking in ad hoc networks of mobile phones (ES, OR, PS, GA), pp. 1634–1637.
VLDBVLDB-2009-WangL #mobile #privacy
Privacy-Aware Mobile Services over Road Networks (TW, LL), pp. 1042–1053.
VLDBVLDB-2009-ZouCO09a #framework #morphism #named #privacy
K-Automorphism: A General Framework For Privacy Preserving Network Publication (LZ, LC, MTÖ), pp. 946–957.
ITiCSEITiCSE-2009-ErkanNO #replication #research
Exposure to research through replication of research: a case in complex networks (AE, SN, NO), pp. 114–118.
SIGITESIGITE-2009-CaoWCW #education #multi #research
Developing a multifunctional network laboratory for teaching and research (XC, YW, AC, YW), pp. 155–160.
SIGITESIGITE-2009-Hartpence #case study #experience #security #source code
Qos content and experiences for IT, networking and security programs (BH), pp. 60–64.
SIGITESIGITE-2009-Stanley #architecture #education #hardware #logic #operating system #simulation #using
Using digital logic simulation as a teaching aid in discrete mathematics, hardware and operating systems, networking, computer organization and computer architecture: a workshop outline (TDS), pp. 1–2.
SIGITESIGITE-2009-YuanZ #design #education #open source
An instructional design of open source networking laboratory and curriculum (DY, JZ), pp. 37–42.
ICPCICPC-J-2008-DaltonWDH09 #behaviour #embedded #runtime #tool support #visualisation
Visualizing the runtime behavior of embedded network systems: A toolkit for TinyOS (ARD, SKW, SD, JOH), pp. 446–469.
CSMRCSMR-2009-FrankeJLUHEK #assessment #metric #using
A Method for Choosing Software Assessment Measures Using Bayesian Networks and Diagnosis (UF, PJ, RL, JU, DH, ME, JK), pp. 241–246.
ICSMEICSM-2009-WangWYZY #evolution #kernel #linux #novel
Linux kernels as complex networks: A novel method to study evolution (LW, ZW, CY, LZ, QY), pp. 41–50.
CIAACIAA-2009-Sastre-Martinez #parsing #performance #recursion #using
Efficient Parsing Using Filtered-Popping Recursive Transition Networks (JMSM), pp. 241–244.
ICALPICALP-v1-2009-KobayashiGNR #communication #quantum
General Scheme for Perfect Quantum Network Coding with Free Classical Communication (HK, FLG, HN, MR), pp. 622–633.
ICALPICALP-v2-2009-AzarMMPS #adaptation
Maximum Bipartite Flow in Networks with Adaptive Channel Width (YA, AM, TM, DP, AS), pp. 351–362.
ICALPICALP-v2-2009-ChierichettiLP #social
Rumor Spreading in Social Networks (FC, SL, AP), pp. 375–386.
ICALPICALP-v2-2009-DaskalakisP #on the #theorem
On a Network Generalization of the Minmax Theorem (CD, CHP), pp. 423–434.
ICALPICALP-v2-2009-FanghanelKV #algorithm #latency
Improved Algorithms for Latency Minimization in Wireless Networks (AF, TK, BV), pp. 447–458.
ICALPICALP-v2-2009-FotakisKS #design #performance
Efficient Methods for Selfish Network Design (DF, ACK, PGS), pp. 459–471.
ICALPICALP-v2-2009-FriedrichSV #analysis
Smoothed Analysis of Balancing Networks (TF, TS, DV), pp. 472–483.
ICALPICALP-v2-2009-KowalskiP #ad hoc
Leader Election in Ad Hoc Radio Networks: A Keen Ear Helps (DRK, AP), pp. 521–533.
LATALATA-2009-MitranaT #on the
On Accepting Networks of Evolutionary Processors with at Most Two Types of Nodes (VM, BT), pp. 588–600.
FMFM-2009-HeidarianSV #analysis #protocol
Analysis of a Clock Synchronization Protocol for Wireless Sensor Networks (FH, JS, FWV), pp. 516–531.
IFMIFM-2009-VossSE #scheduling
SAL-Based Symbolic Scheduling in Time-Triggered Networks (SV, MS, KE), pp. 200–214.
CoGCIG-2009-MandziukM #problem
Neural networks compete with expert human players in solving the Double Dummy Bridge Problem (JM, KM), pp. 117–124.
CoGCIG-2009-NicolaiH
No-Limit Texas Hold'em Poker agents created with evolutionary neural networks (GN, RJH), pp. 125–131.
CoGCIG-2009-Stanley #evolution #game studies #video
Practical issues in evolving neural network controllers for video game agents (KOS).
CoGCIG-2009-WestraD
Evolutionary neural networks for Non-Player Characters in Quake III (JW, FD), pp. 302–309.
DiGRADiGRA-2009-Rossi #game studies #social
Playing your network: gaming in social network sites (LR).
CHICHI-2009-BinderHS #problem #social
The problem of conflicting social spheres: effects of network structure on experienced tension in social network sites (JB, AH, AGS), pp. 965–974.
CHICHI-2009-BurkeML #social
Feed me: motivating newcomer contribution in social network sites (MB, CM, TML), pp. 945–954.
CHICHI-2009-ChenGDMG #people #recommendation #social
Make new friends, but keep the old: recommending people on social networking sites (JC, WG, CD, MJM, IG), pp. 201–210.
CHICHI-2009-MoscovichCHPF #navigation #scalability
Topology-aware navigation in large networks (TM, FC, NH, EP, JDF), pp. 2319–2328.
HCIHIMI-DIE-2009-UgaiA #analysis #social #tool support
Organization Diagnosis Tools Based on Social Network Analysis (TU, KA), pp. 181–189.
HCIHIMI-II-2009-GaoMT #multi #social #visualisation
A Multiple-Aspects Visualization Tool for Exploring Social Networks (JG, KM, JT), pp. 277–286.
HCIHIMI-II-2009-KimMC #clustering #protocol #using
A Hierarchical Data Dissemination Protocol Using Probability-Based Clustering for Wireless Sensor Networks (MK, MWM, HC), pp. 149–158.
HCIHIMI-II-2009-NordinNZ #community #design #process #semantics #visualisation
Batik KR Semantic Network: Visualizations of Creative Process and Design Knowledge for the Malaysian Batik Designers’ Community (AN, NLMN, AZ), pp. 334–341.
HCIHIMI-II-2009-ParkLKC #performance
Freeze TCPv2: An Enhancement of Freeze TCP for Efficient Handoff in Heterogeneous Networks (MP, JL, JK, HC), pp. 448–457.
HCIHIMI-II-2009-TakahashiKY #development #information management
A Development of Information System for Disaster Victims with Autonomous Wireless Network (YT, DK, SY), pp. 855–864.
HCIIDGD-2009-MarcusK #analysis #social
Cross-Cultural Analysis of Social Network Services in Japan, Korea, and the USA (AM, NK), pp. 59–68.
HCIOCSC-2009-AlmeidaNMHB #approach #design #social
Designing Inclusive Social Networks: A Participatory Approach (LDAA, VPdAN, LCdM, ECSH, MCCB), pp. 653–662.
HCIOCSC-2009-BarberioL #community
Weighting Structures: Evolutionary Dynamics of Innovation Networks in Virtual Communities (VB, AL), pp. 295–304.
HCIOCSC-2009-BrandtzaegH #people #social #why
Why People Use Social Networking Sites (PBB, JH), pp. 143–152.
HCIOCSC-2009-Cotton #online #social
Innovation Networks: A Report on Creating a Specialist Professional Social Network, Offline and Online, to Foster Innovation in the New Media Sector (BC), pp. 312–321.
HCIOCSC-2009-GhafourianKR #navigation #social
Universal Navigation through Social Networking (MG, HAK, LvR), pp. 13–22.
HCIOCSC-2009-LambropoulosKB #challenge #research
User Innovation Networks and Research Challenges (NL, PK, AB), pp. 364–373.
HCIOCSC-2009-MeiselwitzL #social
Accessibility of Registration Mechanisms in Social Networking Sites (GM, JL), pp. 82–90.
HCIOCSC-2009-PetersonS #analysis #social
Analysis of Information Disclosure on a Social Networking Site (KP, KAS), pp. 256–264.
HCIOCSC-2009-WangWLWC #case study #concept #design #social #user study
Ethnographic User Study and Concept Design for Chinese Migrant Workers’ Social Networks (JW, WW, YL, XW, QC), pp. 710–718.
HCIOCSC-2009-WentzL #email #social
Email Accessibility and Social Networking (BW, JL), pp. 134–140.
EDOCEDOC-2009-GovernatoriI #modelling #policy #reasoning #social
Modelling and Reasoning Languages for Social Networks Policies (GG, RI), pp. 193–200.
ICEISICEIS-AIDSS-2009-KhashmanD #image #using
Optimum DCT Compression of Medical Images using Neural Networks (AK, KD), pp. 90–95.
ICEISICEIS-AIDSS-2009-KuoWHH #clustering #optimisation #order #using
An Order Clustering System using ART2 Neural Network and Particle Swarm Optimization Methodn (RJK, MJW, TWH, TLH), pp. 54–59.
ICEISICEIS-AIDSS-2009-ZanchettinL #design #hybrid #optimisation
Hybrid Optimization Technique for Artificial Neural Networks Design (CZ, TBL), pp. 242–247.
ICEISICEIS-DISI-2009-CastilloCGPPV #quality #trust
Establishing Trust Networks based on Data Quality Criteria for Selecting Data Suppliers (RPC, IC, IGRdG, MP, MP, EV), pp. 37–42.
ICEISICEIS-DISI-2009-StempliucFAB #concept #modelling
Extending the UML-GeoFrame Data Model for Conceptual Modeling of Network Applications (SMS, JLF, MVAA, KAVB), pp. 164–170.
ICEISICEIS-HCI-2009-FeczakH #coordination #open source #social
Measuring Coordination Gaps of Open Source Groups through Social Networks (SF, LH), pp. 84–90.
ICEISICEIS-J-2009-MohebiS #ambiguity #analysis #clustering #detection #hybrid #using
An Optimized Hybrid Kohonen Neural Network for Ambiguity Detection in Cluster Analysis Using Simulated Annealing (EM, MNMS), pp. 389–401.
ICEISICEIS-J-2009-NachevHS #fuzzy #predict #using
Insolvency Prediction of Irish Companies Using Backpropagation and Fuzzy ARTMAP Neural Networks (AN, SH, BS), pp. 287–298.
ICEISICEIS-J-2009-Sun #using
Stereo Matching Using Synchronous Hopfield Neural Network (THS), pp. 336–347.
CIKMCIKM-2009-BoldiBCV #social
Voting in social networks (PB, FB, CC, SV), pp. 777–786.
CIKMCIKM-2009-CarmelZGOHRUYC #personalisation #social
Personalized social search based on the user’s social network (DC, NZ, IG, SOK, NH, IR, EU, SY, SC), pp. 1227–1236.
CIKMCIKM-2009-ChenCSLZ #information retrieval #mobile #peer-to-peer #performance
Efficient information retrieval in mobile peer-to-peer networks (LC, BC, HTS, WL, XZ), pp. 967–976.
CIKMCIKM-2009-ChenLY #evaluation #maintenance #query
Progressive skyline query evaluation and maintenance in wireless sensor networks (BC, WL, JXY), pp. 1445–1448.
CIKMCIKM-2009-ChokG #framework #mining #realtime
Spatio-temporal association rule mining framework for real-time sensor network applications (HC, LG), pp. 1761–1764.
CIKMCIKM-2009-DriesNR #query
A query language for analyzing networks (AD, SN, LDR), pp. 485–494.
CIKMCIKM-2009-HungP #clustering #predict
Clustering object moving patterns for prediction-based object tracking sensor networks (CCH, WCP), pp. 1633–1636.
CIKMCIKM-2009-LuCP #clustering #social #web
Exploit the tripartite network of social tagging for web clustering (CL, XC, EKP), pp. 1545–1548.
CIKMCIKM-2009-MassSS #effectiveness #scalability
A scalable and effective full-text search in P2P networks (YM, YS, MSS), pp. 1979–1982.
CIKMCIKM-2009-PotamiasBCG #distance #estimation #performance #scalability
Fast shortest path distance estimation in large networks (MP, FB, CC, AG), pp. 867–876.
CIKMCIKM-2009-WangZZ09a #information management
Bridging the gap: complex networks meet information and knowledge management (JW, SZ, DZ), pp. 2113–2114.
CIKMCIKM-2009-ZhaoHS #named #similarity
P-Rank: a comprehensive structural similarity measure over information networks (PZ, JH, YS), pp. 553–562.
ICMLICML-2009-CamposZJ #constraints #learning #using
Structure learning of Bayesian networks using constraints (CPdC, ZZ, QJ), pp. 113–120.
ICMLICML-2009-FuSX #evolution
Dynamic mixed membership blockmodel for evolving networks (WF, LS, EPX), pp. 329–336.
ICMLICML-2009-KokD #learning #logic #markov
Learning Markov logic network structure via hypergraph lifting (SK, PMD), pp. 505–512.
ICMLICML-2009-LeeGRN #learning #scalability
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (HL, RBG, RR, AYN), pp. 609–616.
ICMLICML-2009-Leskovec #ml #scalability #social #summary #tutorial
Tutorial summary: Large social and information networks: opportunities for ML (JL), p. 19.
ICMLICML-2009-Makino #predict #representation
Proto-predictive representation of states with simple recurrent temporal-difference networks (TM), pp. 697–704.
ICMLICML-2009-ZhuX #markov #on the
On primal and dual sparsity of Markov networks (JZ, EPX), pp. 1265–1272.
KDDKDD-2009-ChangBB #social
Connections between the lines: augmenting social networks with text (JC, JLBG, DMB), pp. 169–178.
KDDKDD-2009-ChenWY #performance #social
Efficient influence maximization in social networks (WC, YW, SY), pp. 199–208.
KDDKDD-2009-ChierichettiKLMPR #on the #social
On compressing social networks (FC, RK, SL, MM, AP, PR), pp. 219–228.
KDDKDD-2009-DuFWA #communication #generative #scalability
Large human communication networks: patterns and a utility-driven generator (ND, CF, BW, LA), pp. 269–278.
KDDKDD-2009-GuoTCZZ #generative #online #social
Analyzing patterns of user content generation in online social networks (LG, ET, SC, XZ, YEZ), pp. 369–378.
KDDKDD-2009-HiroseYNF #detection #equation
Network anomaly detection based on Eigen equation compression (SH, KY, TN, RF), pp. 1185–1194.
KDDKDD-2009-LappasLT #social
Finding a team of experts in social networks (TL, KL, ET), pp. 467–476.
KDDKDD-2009-ProvostDHZM #online #privacy #social
Audience selection for on-line brand advertising: privacy-friendly social network targeting (FJP, BD, RH, XZ, AM), pp. 707–716.
KDDKDD-2009-ScrippsTE #analysis #preprocessor
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis (JS, PNT, AHE), pp. 747–756.
KDDKDD-2009-SunYH #clustering
Ranking-based clustering of heterogeneous information networks with star network schema (YS, YY, JH), pp. 797–806.
KDDKDD-2009-TangSWY #analysis #scalability #social
Social influence analysis in large-scale networks (JT, JS, CW, ZY), pp. 807–816.
KDDKDD-2009-WangSAL #fault #learning
Learning, indexing, and diagnosing network faults (TW, MS, DA, LL), pp. 857–866.
KDDKDD-2009-Wasserman #statistics
Network science: an introduction to recent statistical approaches (SW), pp. 9–10.
KDDKDD-2009-YooYLM #email #mining #personalisation #social
Mining social networks for personalized email prioritization (SY, YY, FL, ICM), pp. 967–976.
KDDKDD-2009-YouHC #biology #learning
Learning patterns in the dynamics of biological networks (CHY, LBH, DJC), pp. 977–986.
KDDKDD-2009-ZhangWWZ #community #detection #parallel #scalability
Parallel community detection on large networks with propinquity dynamics (YZ, JW, YW, LZ), pp. 997–1006.
KDDKDD-2009-ZhelevaSG #co-evolution #social
Co-evolution of social and affiliation networks (EZ, HS, LG), pp. 1007–1016.
KDDKDD-2009-ZhuXZ #markov
Primal sparse Max-margin Markov networks (JZ, EPX, BZ), pp. 1047–1056.
KMISKMIS-2009-ZyglarskiB #documentation #keyword
Scientific Documents Management System — Application of Kohonens Neural Networks with Reinforcement in Keywords Extraction (BZ, PB), pp. 55–62.
MLDMMLDM-2009-GaagRFGEBF #classification
Aligning Bayesian Network Classifiers with Medical Contexts (LCvdG, SR, AF, AdG, MJCE, FJB, BCJMF), pp. 787–801.
RecSysRecSys-2009-BroccoG #recommendation
Team recommendation in open innovation networks (MB, GG), pp. 365–368.
RecSysRecSys-2009-JamaliE #recommendation #trust #using
Using a trust network to improve top-N recommendation (MJ, ME), pp. 181–188.
RecSysRecSys-2009-WalterBS #personalisation #social #trust
Personalised and dynamic trust in social networks (FEW, SB, FS), pp. 197–204.
SEKESEKE-2009-Kung
Wireless Computing, Networking and Sensing (HTK), p. 1.
SEKESEKE-2009-LiaoHPWCLWCH #architecture #implementation #research
Research and Implementation of Service-oriented Architecture Supporting Locationbased Services on Sensor Networks (BYL, WSH, JSP, HCW, YMC, JKL, BSW, ELC, MFH), pp. 334–337.
SEKESEKE-2009-MomeniRSR #approach #graph transformation
A Graph Transformation-based Approach to Task Allocation in Wireless Sensor Actor Networks (HM, VR, MS, ATR), pp. 609–612.
SEKESEKE-2009-XuZW #predict
Long-term Prediction of Wireless Network Traffic (ZX, ZZ, WW), pp. 473–479.
SIGIRSIGIR-2009-Barabasi #behaviour
From networks to human behavior (ALB), p. 435.
SIGIRSIGIR-2009-BenevenutoRAAG #detection #online #social #video
Detecting spammers and content promoters in online video social networks (FB, TR, VAFA, JMA, MAG), pp. 620–627.
SIGIRSIGIR-2009-KonstasSJ #collaboration #on the #recommendation #social
On social networks and collaborative recommendation (IK, VS, JMJ), pp. 195–202.
SIGIRSIGIR-2009-NohPYLP #automation #folksonomy #multi #using
An automatic translation of tags for multimedia contents using folksonomy networks (TGN, SBP, HGY, SJL, SYP), pp. 492–499.
SIGIRSIGIR-2009-RonenSUUYZCGHO #enterprise #social
Social networks and discovery in the enterprise (SaND) (IR, ES, SU, EU, SY, NZ, DC, IG, NH, SOK), p. 836.
ECMFAECMDA-FA-2009-EvansFM #case study #eclipse #experience #modelling #using
Experiences of Developing a Network Modeling Tool Using the Eclipse Environment (AE, MAF, PM), pp. 301–312.
TOOLSTOOLS-EUROPE-2009-BoixCVMD #ad hoc #mobile
A Leasing Model to Deal with Partial Failures in Mobile Ad Hoc Networks (EGB, TVC, JV, WDM, TD), pp. 231–251.
PADLPADL-2009-NavarroR #declarative #semantics
Operational Semantics for Declarative Networking (JANP, AR), pp. 76–90.
PADLPADL-2009-WangBLS #declarative #verification
Declarative Network Verification (AW, PB, BTL, OS), pp. 61–75.
PEPMPEPM-2009-EversK #automation
Partially evaluated sensor networks: automatic specialization for heterogeneous wireless sensor & actuator networks (LE, JK), pp. 73–80.
ESEC-FSEESEC-FSE-2009-PathakG #named #tool support #visual notation
Srijan: a graphical toolkit for sensor network macroprogramming (AP, MKG), pp. 301–302.
ICSEICSE-2009-WolfSDN #analysis #communication #developer #predict #social #using
Predicting build failures using social network analysis on developer communication (TW, AS, DD, THDN), pp. 1–11.
SACSAC-2009-AhulloLAA #simulation
An extensible simulation tool for overlay networks and services (JPA, PGL, MSA, MAA), pp. 2072–2076.
SACSAC-2009-BatistaDF #grid #robust
Robust scheduler for grid networks (DMB, ACD, NLSdF), pp. 35–39.
SACSAC-2009-BatistaR #ad hoc #framework #middleware #mobile #specification
High-level specification of a middleware framework for mobile ad hoc networks: spontaneousware case (VdFB, NSR), pp. 221–222.
SACSAC-2009-CaiCFTCH #peer-to-peer
A holistic mechanism against file pollution in peer-to-peer networks (ZC, RC, JF, CT, ZC, JbH), pp. 28–34.
SACSAC-2009-EirakuSPKK #performance #virtual machine
Fast networking with socket-outsourcing in hosted virtual machine environments (HE, YS, CP, YK, KK), pp. 310–317.
SACSAC-2009-EstevesAS #grid #quality
Quality of service management in GMPLS-based grid OBS networks (RPE, AJGA, MAS), pp. 74–78.
SACSAC-2009-FortS #distance
GPU-based computation of distance functions on road networks with applications (MF, JAS), pp. 1320–1324.
SACSAC-2009-FreitasT #ubiquitous
Ubiquitous services in home networks offered through digital TV (GBdF, CACT), pp. 1834–1838.
SACSAC-2009-HeYAL #named
BPR: a bit-level packet recovery in wireless sensor networks (JH, JY, CA, XL), pp. 59–65.
SACSAC-2009-KimHJJY #data flow #scalability #social #visualisation
Visualization of information flows in a very large social network (SGK, HH, KJ, HJ, HYY), pp. 1841–1842.
SACSAC-2009-KimR #multi #realtime
Opportunistic real-time routing in multi-hop wireless sensor networks (JK, BR), pp. 2197–2201.
SACSAC-2009-KingLS #taxonomy
A taxonomy and adversarial model for attacks against network log anonymization (JK, KL, AJS), pp. 1286–1293.
SACSAC-2009-KokashCRI #flexibility #protocol
A flexible QoS-aware routing protocol for infrastructure-less B3G networks (NK, RSC, PGR, VI), pp. 212–216.
SACSAC-2009-KontosB #modelling #visual notation
An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models (KK, GB), pp. 793–798.
SACSAC-2009-LeccaPPS #generative #parametricity #probability
A new probabilistic generative model of parameter inference in biochemical networks (PL, AP, CP, GS), pp. 758–765.
SACSAC-2009-LeeKLY #approximate #database
Approximate indexing in road network databases (SCL, SWK, JL, JSY), pp. 1568–1572.
SACSAC-2009-LeePR #ad hoc #mobile #realtime
A real-time message scheduler support for dual-sink mobile ad-hoc sensor networks (JL, GLP, SuR), pp. 305–309.
SACSAC-2009-LiCC #correlation
Construct anticancer drug-drug correlation network (JL, PC, JYC), pp. 771–775.
SACSAC-2009-LindvallFKCJ #semantics #using
Searching for relevant software change artifacts using semantic networks (ML, RLF, GK, ZC, VPJ), pp. 496–500.
SACSAC-2009-OGormanB #correlation
Improving stream correlation attacks on anonymous networks (GO, SB), pp. 2024–2028.
SACSAC-2009-PaganoCRLSAST #implementation #realtime
ERIKA and open-ZB: an implementation for real-time wireless networking (PP, MC, AR, GL, RS, MA, PGS, ET), pp. 1687–1688.
SACSAC-2009-ParkKLKK #realtime #using
A mobility management scheme using SCTP-SIP for real-time services across heterogeneous networks (HP, MK, SL, SK, YK), pp. 196–200.
SACSAC-2009-PassitoMM #analysis #protocol #using
Analysis of the secure RTP protocol on voice over wireless networks using extended MedQoS (AP, EdSM, EM), pp. 86–87.
SACSAC-2009-PereiraTLP
Preservation of ordering in a network of brokers (CMMP, CACT, DCL, MdGCP), pp. 88–89.
SACSAC-2009-PhilipA #ad hoc #maintenance
Mobility aware path maintenance in ad hoc networks (SJP, VA), pp. 201–206.
SACSAC-2009-RajgurePBH #clustering #self #transaction
Geographical data collection in sensor networks with self-organizing transaction cluster-heads (NR, EP, CB, SH), pp. 1214–1218.
SACSAC-2009-ReinkeHNGLL #protocol #standard #transaction
Integrating standardized transaction protocols in service-oriented wireless sensor networks (CR, NH, JN, SG, VL, ML), pp. 2202–2203.
SACSAC-2009-ShangLL #biology #functional #mining
Mining functional associated patterns from biological network data (XS, ZL, WL), pp. 1488–1489.
SACSAC-2009-SherminO #using
Using dynamic bayesian networks to infer gene regulatory networks from expression profiles (AS, MAO), pp. 799–803.
SACSAC-2009-TangCCXHTC #peer-to-peer
Securing key issuing in peer-to-peer networks (CT, RC, ZC, AX, JbH, LT, ZC), pp. 84–85.
SACSAC-2009-ThirunarayanP #semantics
Semantic information and sensor networks (KT, JP), pp. 1273–1274.
SACSAC-2009-WanMKJ #communication #detection #email
Link-based event detection in email communication networks (XW, EEM, NK, JJ), pp. 1506–1510.
SACSAC-2009-YiMCKJ #named
Arbiter-Recall: a new function update scheme by arbitration between a remote call and a dynamic update for wireless sensor networks (SY, HM, YC, YK, IJ), pp. 339–340.
SACSAC-2009-ZaidiBC #protocol #testing
Network protocol interoperability testing based on contextual signatures and passive testing (FZ, EB, ARC), pp. 2–7.
ASPLOSASPLOS-2009-MenonSZ #automation #named #performance
TwinDrivers: semi-automatic derivation of fast and safe hypervisor network drivers from guest OS drivers (AM, SS, WZ), pp. 301–312.
CASECASE-2009-AnandMT #automation #evaluation #performance
Performance evaluation of wireless networks for factory automation applications (DMA, JRM, DMT), pp. 340–346.
CASECASE-2009-FranceschelliGS #distributed #fault
Decentralized fault diagnosis for sensor networks (MF, AG, CS), pp. 334–339.
CASECASE-2009-GhoshR #design
Sensor network design for smart highways (SG, SR), pp. 353–360.
CASECASE-2009-HeraguCKM #analysis #retrieval
Analysis of autonomous vehicle storage and retrieval system by open queueing network (SSH, XC, AK, CJM), pp. 455–459.
CASECASE-2009-NaveenRR #algorithm #difference #evolution #search-based #using
Rule extraction from differential evolution trained radial basis function network using genetic algorithms (NN, VR, CRR), pp. 152–157.
CASECASE-2009-PintoKX #embedded #synthesis
Synthesis of wireless time-triggered embedded networks for networked control systems (AP, RK, SX), pp. 397–402.
CASECASE-2009-ViswanadhamK #process
Orchestrating a network of activities in the value chain (NV, SK), pp. 501–506.
CASECASE-2009-ViswanadhamR
Globally integrated manufacturing service networks (NV, NR), pp. 54–58.
DACDAC-2009-EllithorpeTK #architecture #named #using
Internet-in-a-Box: emulating datacenter network architectures using FPGAs (JDE, ZT, RHK), pp. 880–883.
DACDAC-2009-FickDHBBS #named #reliability
Vicis: a reliable network for unreliable silicon (DF, AD, JH, VB, DB, DS), pp. 812–817.
DACDAC-2009-GlassLTBC #analysis #architecture #design #encoding #hybrid
Designing heterogeneous ECU networks via compact architecture encoding and hybrid timing analysis (MG, ML, JT, UDB, SC), pp. 43–46.
DACDAC-2009-LiFMSVFPS #hybrid #named
Spectrum: a hybrid nanophotonic-electric on-chip network (ZL, DF, ARM, LS, MV, DF, WP, YS), pp. 575–580.
DACDAC-2009-ShiCHMTHW #analysis #gpu #grid #performance #power management
GPU friendly fast Poisson solver for structured power grid network analysis (JS, YC, WH, LM, SXDT, PHH, XW), pp. 178–183.
DACDAC-2009-WangCL #satisfiability #scalability #simulation
Simulation and SAT-based Boolean matching for large Boolean networks (KHW, CMC, JCL), pp. 396–401.
DACDAC-2009-YanW
A correct network flow model for escape routing (TY, MDFW), pp. 332–335.
DATEDATE-2009-0001BW #case study #fault
Error correction in single-hop wireless sensor networks — A case study (DS, MB, NW), pp. 1296–1301.
DATEDATE-2009-ArmengaudS #metric
Remote measurement of local oscillator drifts in FlexRay networks (EA, AS), pp. 1082–1087.
DATEDATE-2009-ConcerIB #algorithm #named #novel
aEqualized: A novel routing algorithm for the Spidergon Network On Chip (NC, SI, LB), pp. 749–754.
DATEDATE-2009-FummiPQA #energy #flexibility #simulation
Flexible energy-aware simulation of heterogenous wireless sensor networks (FF, GP, DQ, AA), pp. 1638–1643.
DATEDATE-2009-GhasemzadehJSJ #communication
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique (HG, NJ, MS, RJ), pp. 358–363.
DATEDATE-2009-HaastregtK #automation #c #hardware #process #streaming #synthesis
Automated synthesis of streaming C applications to process networks in hardware (SvH, BK), pp. 890–893.
DATEDATE-2009-HanssonSG #composition #named #predict
Aelite: A flit-synchronous Network on Chip with composable and predictable services (AH, MS, KG), pp. 250–255.
DATEDATE-2009-LeeKHBJFL #3d #co-evolution #design
Co-design of signal, power, and thermal distribution networks for 3D ICs (YJL, YJK, GH, MSB, YKJ, AGF, SKL), pp. 610–615.
DATEDATE-2009-LeonardiPC #case study #deployment #distributed #embedded
A case study in distributed deployment of embedded software for camera networks (FL, AP, LPC), pp. 1006–1011.
DATEDATE-2009-LoiAB #configuration management #interface #synthesis
Synthesis of low-overhead configurable source routing tables for network interfaces (IL, FA, LB), pp. 262–267.
DATEDATE-2009-LongLFDY #adaptation #clustering #energy
Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks (HL, YL, XF, RPD, HY), pp. 1267–1272.
DATEDATE-2009-ModarressiSA #hybrid
A hybrid packet-circuit switched on-chip network based on SDM (MM, HSA, MA), pp. 566–569.
DATEDATE-2009-MohammadZadehMJZ #multi
Multi-domain clock skew scheduling-aware register placement to optimize clock distribution network (NM, MM, AJ, MSZ), pp. 833–838.
DATEDATE-2009-SeiculescuMBM #3d #synthesis
SunFloor 3D: A tool for Networks On Chip topology synthesis for 3D systems on chips (CS, SM, LB, GDM), pp. 9–14.
DATEDATE-2009-SubramanianGD #adaptation #configuration management #design #embedded #grid #online #policy
Online adaptation policy design for grid sensor networks with reconfigurable embedded nodes (VS, MG, AD), pp. 1273–1278.
DATEDATE-2009-WilleGFDD #debugging
Debugging of Toffoli networks (RW, DG, SF, GWD, RD), pp. 1284–1289.
DATEDATE-2009-ZiermannWT #protocol
CAN+: A new backward-compatible Controller Area Network (CAN) protocol with up to 16× higher data rates (TZ, SW, JT), pp. 1088–1093.
HPCAHPCA-2009-FidalgoVM #adaptation #multi #named
MRR: Enabling fully adaptive multicast routing for CMP interconnection networks (PAF, VP, JÁG), pp. 355–366.
HPCAHPCA-2009-MichelogiannakisBD
Elastic-buffer flow control for on-chip networks (GM, JDB, WJD), pp. 151–162.
HPCAHPCA-2009-XuDZZZY #3d #design
A low-radix and low-diameter 3D interconnection network design (YX, YD, BZ, XZ, YZ, JY), pp. 30–42.
PDPPDP-2009-CasconOHDR #concurrent #interface #multi #thread #using
A Multi-Threaded Network Interface Using Network Processors (PC, JO, WMH, AFD, IR), pp. 196–200.
PDPPDP-2009-HatahetCB #detection
BitTorrent Worm Sensor Network : P2P Worms Detection and Containment (SH, YC, AB), pp. 293–300.
PDPPDP-2009-Kotenko #detection #framework
Framework for Integrated Proactive Network Worm Detection and Response (IVK), pp. 379–386.
PDPPDP-2009-MoravejiSZ
A General Methodology for Routing in Irregular Networks (RM, HSA, AYZ), pp. 155–160.
PDPPDP-2009-OrtizODP #communication #interface #performance
A New Offloaded/Onloaded Network Interface for High Performance Communication (AO, JO, AFD, AP), pp. 143–150.
PDPPDP-2009-PatooghyM #algorithm #fault tolerance #named #performance
XYX: A Power & Performance Efficient Fault-Tolerant Routing Algorithm for Network on Chip (AP, SGM), pp. 245–251.
SOSPSOSP-2009-ChenGKLR #fault
Surviving sensor network software faults (YC, OG, MAK, PL, JR), pp. 235–246.
FASEFASE-2009-HermannEE #graph #inheritance #security
Transformation of Type Graphs with Inheritance for Ensuring Security in E-Government Networks (FH, HE, CE), pp. 325–339.
FASEFASE-2009-RajamaniJPR #mobile #nondeterminism #query
Inquiry and Introspection for Non-deterministic Queries in Mobile Networks (VR, CJ, JP, GCR), pp. 401–416.
STOCSTOC-2009-GuptaKR #design #online #probability
Online and stochastic survivable network design (AG, RK, RR), pp. 685–694.
STOCSTOC-2009-LattanziS
Affiliation networks (SL, DS), pp. 427–434.
CAVCAV-2009-LammichMW #automaton #constraints #set
Predecessor Sets of Dynamic Pushdown Networks with Tree-Regular Constraints (PL, MMO, AW), pp. 525–539.
CAVCAV-2009-PerezRS #abstraction #declarative
Cardinality Abstraction for Declarative Networking Applications (JANP, AR, AS), pp. 584–598.
ICLPICLP-2009-SchaubT #programming #set
Metabolic Network Expansion with Answer Set Programming (TS, ST), pp. 312–326.
ICSTSAT-2009-AsinNOR
Cardinality Networks and Their Applications (RA, RN, AO, ERC), pp. 167–180.
FATESTestCom-FATES-2009-WangYXZGWLGZL #consistency #mobile #testing
TTCN-3 Based Conformance Testing of Mobile Broadcast Business Management System in 3G Networks (ZW, XY, YX, RZ, SG, XW, SL, SG, LZ, PL), pp. 163–178.
WICSAWICSA-2008-ChoiPN #adaptation #architecture
A Software Architecture for Cross-Layer Wireless Network Adaptations (SHC, DEP, SN), pp. 281–284.
TPDLECDL-2008-TarrantCP #metadata #power of #scalability
Releasing the Power of Digital Metadata: Examining Large Networks of Co-related Publications (DT, LC, TRP), pp. 172–184.
HTHT-2008-Golder #social
Measuring social networks with digital photograph collections (SAG), pp. 43–48.
HTHT-2008-MarkinesRM #assembly #performance #semantics #social
Efficient assembly of social semantic networks (BM, HR, FM), pp. 149–156.
JCDLJCDL-2008-HalbertSW #distributed
Metaarchive/lockss distributed preservation networks (MH, KS, TOW), p. 438.
PODSPODS-2008-SozioNW #peer-to-peer #replication
Near-optimal dynamic replication in unstructured peer-to-peer networks (MS, TN, GW), pp. 281–290.
SIGMODSIGMOD-2008-ChowMH #monitoring #named #privacy
Tinycasper: a privacy-preserving aggregate location monitoring system in wireless sensor networks (CYC, MFM, TH), pp. 1307–1310.
SIGMODSIGMOD-2008-JohnsonMSS #clustering #data type #monitoring
Query-aware partitioning for monitoring massive network data streams (TJ, SMM, VS, OS), pp. 1135–1146.
SIGMODSIGMOD-2008-NakamuraL
Information fusion in wireless sensor networks (EFN, AAFL), pp. 1365–1372.
SIGMODSIGMOD-2008-SametSA #database #distance #scalability
Scalable network distance browsing in spatial databases (HS, JS, HA), pp. 43–54.
SIGMODSIGMOD-2008-SunWYCHYZ #mining #named
BibNetMiner: mining bibliographic information networks (YS, TW, ZY, HC, JH, XY, PZ), pp. 1341–1344.
VLDBVLDB-2008-Amer-YahiaBLS #collaboration #performance
Efficient network aware search in collaborative tagging sites (SAY, MB, LVSL, JS), pp. 710–721.
VLDBVLDB-2008-AvanesF #adaptation #constraints #resource management #scheduling #workflow
Adaptive workflow scheduling under resource allocation constraints and network dynamics (AA, JCF), pp. 1631–1637.
VLDBVLDB-2008-CondieCHM #declarative
Evita raced: metacompilation for declarative networks (TC, DC, JMH, PM), pp. 1153–1165.
VLDBVLDB-2008-HayMJTW #identification #social
Resisting structural re-identification in anonymized social networks (MH, GM, DJ, DFT, PW), pp. 102–114.
VLDBVLDB-2008-LuuSKPZRA #named #peer-to-peer #retrieval #scalability
AlvisP2P: scalable peer-to-peer text retrieval in a structured P2P network (TL, GS, FK, MP, IPZ, MR, KA), pp. 1424–1427.
ITiCSEITiCSE-2008-CatuognoS #internet #security
An internet role-game for the laboratory of network security course (LC, ADS), pp. 240–244.
ITiCSEITiCSE-2008-GoldweberD #named
VDE: an emulation environment for supporting computer networking courses (MG, RD), pp. 138–142.
SIGITESIGITE-2008-Abbott-McCuneNGG #configuration management
Developing a reconfigurable network lab (SAM, AJN, JG, BSG), pp. 255–258.
SIGITESIGITE-2008-HelpsE #evaluation
Evaluation of a computer networking class in information technology (CRGH, JJE), pp. 259–268.
SIGITESIGITE-2008-HeSRHS #education #interactive #student #web
Information technology education for k-12 students and teachers: from sensor network to comprehensive and customized web interaction (LH, AS, JR, PH, ES), pp. 65–70.
SIGITESIGITE-2008-JovanovicM #assessment
Teachning network storage technology: assessment outcomes and directions (VMJ, TM), pp. 147–152.
WCREWCRE-2008-ZhouWGGL #approach #predict
A Bayesian Network Based Approach for Change Coupling Prediction (YZ, MW, EG, HG, JL), pp. 27–36.
ICALPICALP-A-2008-BorradaileK #graph #problem
The Two-Edge Connectivity Survivable Network Problem in Planar Graphs (GB, PNK), pp. 485–501.
ICALPICALP-A-2008-ChaintreauFL
Networks Become Navigable as Nodes Move and Forget (AC, PF, EL), pp. 133–144.
ICALPICALP-A-2008-IwamaNPRY #linear #polynomial
Polynomial-Time Construction of Linear Network Coding (KI, HN, MP, RR, SY), pp. 271–282.
ICALPICALP-C-2008-KatzKK #complexity
Improving the Round Complexity of VSS in Point-to-Point Networks (JK, CYK, RK), pp. 499–510.
LATALATA-2008-AlhazovCMR #hybrid
About Universal Hybrid Networks of Evolutionary Processors of Small Size (AA, ECV, CMV, YR), pp. 28–39.
FMFM-2008-RidgeNS #approach #implementation #protocol
A Rigorous Approach to Networking: TCP, from Implementation to Protocol to Service (TR, MN, PS), pp. 294–309.
ICFPICFP-2008-MainlandMW #functional #named #programming #staged
Flask: staged functional programming for sensor networks (GM, GM, MW), pp. 335–346.
AIIDEAIIDE-2008-KellyBK #game studies #video
Offline Planning with Hierarchical Task Networks in Video Games (JPK, AB, SK).
CoGCIG-2008-Blair #evaluation #learning #symmetry
Learning position evaluation for Go with Internal Symmetry Networks (AB), pp. 199–204.
CoGCIG-2008-ReederMSGA #composition #game studies
Interactively evolved modular neural networks for game agent control (JR, RM, JS, MG, GCA), pp. 167–174.
CoGCIG-2008-SchaulS #architecture #game studies #scalability
A scalable neural network architecture for board games (TS, JS), pp. 357–364.
CoGCIG-2008-ThompsonL #behaviour
Scaling-up behaviours in EvoTanks: Applying subsumption principles to artificial neural networks (TT, JL), pp. 159–166.
GT-VMTGT-VMT-2008-Gruner #graph transformation #mobile
Graph Transformation Model of a Triangulated Network of Mobile Units (SG).
ICGTICGT-2008-CenciarelliGT #bisimulation #graph
Network Applications of Graph Bisimulation (PC, DG, ET), pp. 131–146.
ICGTICGT-2008-Hammoudeh #clustering #modelling
Modelling Clustering of Sensor Networks with Synchronised Hyperedge Replacement (MH), pp. 490–492.
ICGTICGT-2008-Khan #analysis #configuration management #graph transformation #modelling #using
Model-Based Analysis of Network Reconfigurations Using Graph Transformation Systems (AK), pp. 502–504.
CHICHI-2008-BrzozowskiHS #social
Friends and foes: ideological social networking (MJB, TH, GS), pp. 817–820.
CHICHI-2008-GilbertKS #analysis #empirical #social #social media
The network in the garden: an empirical analysis of social media in rural life (EG, KK, CS), pp. 1603–1612.
CHICHI-2008-GuyJSMSF #social
Harvesting with SONAR: the value of aggregating social network information (IG, MJ, ES, NM, VS, SF), pp. 1017–1026.
CSCWCSCW-2008-BrownHIPB #social
Social networks and context-aware spam (GB, TH, MI, AP, KB), pp. 403–412.
CSCWCSCW-2008-CataldoH #communication #development #distributed
Communication networks in geographically distributed software development (MC, JDH), pp. 579–588.
CSCWCSCW-2008-ChungH #distributed
Network structure, position, ties and ICT use in distributed knowledge-intensive work (KSKC, LH), pp. 545–554.
CSCWCSCW-2008-DiMiccoMGDBM #social
Motivations for social networking at work (JMD, DRM, WG, CD, BB, MJM), pp. 711–720.
CSCWCSCW-2008-GuyJMRS #email #social
Public vs. private: comparing public social network information with email (IG, MJ, NM, IR, ES), pp. 393–402.
CSCWCSCW-2008-KimKPA #social
Are you sleeping?: sharing portrayed sleeping status within a social network (SK, JAK, SNP, GDA), pp. 619–628.
CSCWCSCW-2008-LiaoL #design #effectiveness #user interface
Network patterns: designing effective user interfaces for connections management at work (QL, QL), pp. 707–710.
CSCWCSCW-2008-PlodererHT #online #social
Being online, living offline: the influence of social ties over the appropriation of social network sites (BP, SH, PT), pp. 333–342.
ICEISICEIS-AIDSS-2008-AjroudOBY #algorithm #approximate
An Approximate Propagation Algorithm for Product-Based Possibilistic Networks (AA, MNO, SB, HY), pp. 321–326.
ICEISICEIS-AIDSS-2008-ErmilovaA #collaboration
Managing Characteristic Organization Knowledge in Collaborative Networks (EE, HA), pp. 313–320.
ICEISICEIS-AIDSS-2008-Nachev #using
Forecasting with ARTMAP-IC Neural Networks — An Application Using Corporate Bankruptcy Data (AN), pp. 167–172.
ICEISICEIS-AIDSS-2008-ZimbresBO #automaton #evolution #modelling #social
Cellular Automata Based Modeling of the Formation and Evolution of Social Networks: A Case in Dentistry (RAZ, EPZB, PPBdO), pp. 333–339.
ICEISICEIS-DISI-2008-Cardoso
Service Engineering for Future Business Value Networks (JC), pp. 15–20.
ICEISICEIS-DISI-2008-PetersTW #enterprise #research #resource management #roadmap
Network Externalities for Enterprise Resource Planning Software — A Research Roadmap (GP, FT, RW), pp. 97–104.
ICEISICEIS-HCI-2008-GeczyIAH #behaviour #enterprise #information management
Complex User Behavioral Networks at Enterprise Information Systems (PG, NI, SA, KH), pp. 233–239.
ICEISICEIS-ISAS2-2008-NgoWL #authentication
A Group Authentication Model for Wireless Network Services Based on Group Key Management (HHN, XW, PDL), pp. 182–188.
ICEISICEIS-J-2008-PapatheocharousA08a #algorithm #approach #hybrid #modelling #predict #search-based #using
Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networks and Genetic Algorithms (EP, ASA), pp. 87–100.
ICEISICEIS-SAIC-2008-DoshiP #process
Trusted Information Processes in B2B Networks (CD, LP), pp. 37–44.
ICEISICEIS-SAIC-2008-ThimmTR
Partner Selection for Virtual Organization — Supporting the Moderator in Business Networks (HT, KT, KBR), pp. 119–126.
CIKMCIKM-2008-ChoudhurySJS #multi #social
Multi-scale characterization of social network dynamics in the blogosphere (MDC, HS, AJ, DDS), pp. 1515–1516.
CIKMCIKM-2008-DuWW #community #detection
Overlapping community structure detection in networks (ND, BW, BW), pp. 1371–1372.
CIKMCIKM-2008-KorolovaMNX #privacy #social
Link privacy in social networks (AK, RM, SUN, YX), pp. 289–298.
CIKMCIKM-2008-LeeLZ #framework #named #performance #query
ROAD: an efficient framework for location dependent spatial queries on road networks (KCKL, WCL, BZ), pp. 1327–1328.
CIKMCIKM-2008-LiangCY #energy #maintenance #query
Energy-efficient skyline query processing and maintenance in sensor networks (WL, BC, JXY), pp. 1471–1472.
CIKMCIKM-2008-LinSK #concept #people #process #social #summary
Summarization of social activity over time: people, actions and concepts in dynamic networks (YRL, HS, AK), pp. 1379–1380.
CIKMCIKM-2008-MaYLK #mining #process #social #using
Mining social networks using heat diffusion processes for marketing candidates selection (HM, HY, MRL, IK), pp. 233–242.
CIKMCIKM-2008-NguyenYF #adaptation #distributed #peer-to-peer
Adaptive distributed indexing for structured peer-to-peer networks (LTN, WGY, OF), pp. 1241–1250.
CIKMCIKM-2008-QuMG #semantics #using
Using tag semantic network for keyphrase extraction in blogs (LQ, CM, IG), pp. 1381–1382.
CIKMCIKM-2008-WangLCLO #semantics
Speed up semantic search in p2p networks (QW, RL, LC, JL, MTÖ), pp. 1341–1342.
CIKMCIKM-2008-ZhaoBZY #community #predict
Characterizing and predicting community members from evolutionary and heterogeneous networks (QZ, SSB, XZ, KY), pp. 309–318.
ECIRECIR-2008-HuangBCQ #image #retrieval #using #web
Improving Web Image Retrieval Using Image Annotations and Inference Network (PH, JB, CC, GQ), pp. 617–621.
ECIRECIR-2008-LinC #category theory #evolution #social
Labeling Categories and Relationships in an Evolving Social Network (MSL, HHC), pp. 77–88.
ECIRECIR-2008-RaftopoulouP #clustering #information retrieval #named #self
iCluster: A Self-organizing Overlay Network for P2P Information Retrieval (PR, EGMP), pp. 65–76.
ICMLICML-2008-CollobertW #architecture #learning #multi #natural language
A unified architecture for natural language processing: deep neural networks with multitask learning (RC, JW), pp. 160–167.
ICMLICML-2008-HuynhM #learning #logic #markov #parametricity
Discriminative structure and parameter learning for Markov logic networks (TNH, RJM), pp. 416–423.
ICMLICML-2008-MakinoT #online
On-line discovery of temporal-difference networks (TM, TT), pp. 632–639.
ICMLICML-2008-RanzatoS #documentation #learning
Semi-supervised learning of compact document representations with deep networks (MR, MS), pp. 792–799.
ICMLICML-2008-SalakhutdinovM #analysis #on the
On the quantitative analysis of deep belief networks (RS, IM), pp. 872–879.
ICMLICML-2008-SuZLM #learning #parametricity
Discriminative parameter learning for Bayesian networks (JS, HZ, CXL, SM), pp. 1016–1023.
ICMLICML-2008-ZhuXZ #markov
Laplace maximum margin Markov networks (JZ, EPX, BZ), pp. 1256–1263.
ICPRICPR-2008-BarratT #effectiveness #image #retrieval #semantics #using #visual notation
Visual features with semantic combination using Bayesian network for a more effective image retrieval (SB, ST), pp. 1–4.
ICPRICPR-2008-CamposJ #constraints #learning #parametricity #using
Improving Bayesian Network parameter learning using constraints (CPdC, QJ), pp. 1–4.
ICPRICPR-2008-ChangIB
Shapes to synchronize camera networks (RC, SHI, RB), pp. 1–4.
ICPRICPR-2008-KiranyazTYG #design #multi #optimisation
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization (SK, TI, EAY, MG), pp. 1–4.
ICPRICPR-2008-LiaoJ #learning #parametricity #semistructured data
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data (WL, QJ), pp. 1–4.
ICPRICPR-2008-OkadaH #incremental #recognition #self
Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network (SO, OH), pp. 1–4.
ICPRICPR-2008-ParkL #modelling
Face modeling and tracking with Gabor Wavelet Network prior (MP, SL), pp. 1–4.
ICPRICPR-2008-SrihariNNL #clique #detection
Detecting hubs and quasi cliques in scale-free networks (SS, HKN, KN, HWL), pp. 1–4.
ICPRICPR-2008-SukSL #gesture #modelling #recognition #robust
Robust modeling and recognition of hand gestures with dynamic Bayesian network (HIS, BKS, SWL), pp. 1–4.
ICPRICPR-2008-SunQ #classification
Dynamic target classification in wireless sensor networks (YS, HQ), pp. 1–4.
ICPRICPR-2008-SuzukiSZ #using
Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD) (KS, ZS, JZ), pp. 1–4.
ICPRICPR-2008-TagawaKNO #3d #image #multi #sequence
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network (NT, JK, SN, KO), pp. 1–4.
ICPRICPR-2008-TranTJ #anti #linear #probability
An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering (TPT, PT, TJ), pp. 1–4.
ICPRICPR-2008-YangQ #analysis #component #detection #independence #using
A network intrusion detection method using independent component analysis (DY, HQ), pp. 1–4.
KDDKDD-2008-AnagnostopoulosKM #correlation #social
Influence and correlation in social networks (AA, RK, MM), pp. 7–15.
KDDKDD-2008-ChoRC #data mining #identification #mining
Reconstructing chemical reaction networks: data mining meets system identification (YJC, NR, YC), pp. 142–150.
KDDKDD-2008-GallagherTEF #classification #using
Using ghost edges for classification in sparsely labeled networks (BG, HT, TER, CF), pp. 256–264.
KDDKDD-2008-KossinetsKW #communication #social
The structure of information pathways in a social communication network (GK, JMK, DJW), pp. 435–443.
KDDKDD-2008-KumarTFJKLT #social
Social networks: looking ahead (RK, AT, CF, DJ, GK, JL, AT), p. 1060.
KDDKDD-2008-LeskovecBKT #evolution #social
Microscopic evolution of social networks (JL, LB, RK, AT), pp. 462–470.
KDDKDD-2008-MeloAL #behaviour #metric #predict #question
Can complex network metrics predict the behavior of NBA teams? (POSVdM, VAFA, AAFL), pp. 695–703.
KDDKDD-2008-TangLZN #community #evolution #multi
Community evolution in dynamic multi-mode networks (LT, HL, JZ, ZN), pp. 677–685.
KDDKDD-2008-TangZYLZS #mining #named #social
ArnetMiner: extraction and mining of academic social networks (JT, JZ, LY, JL, LZ, ZS), pp. 990–998.
RecSysRecSys-2008-LathiaHC #social
kNN CF: a temporal social network (NL, SH, LC), pp. 227–234.
RecSysRecSys-2008-Sampaio #internet #performance #process #recommendation
A network performance recommendation process for advanced internet applications users (LNS), pp. 315–318.
RecSysRecSys-2008-SchifanellaPGR #ad hoc #collaboration #mobile #named #self
MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks (RS, AP, CG, GR), pp. 27–34.
SEKESEKE-2008-CemerlicYK #detection
Network Intrusion Detection Based on Bayesian Networks (AC, LY, JMK), pp. 791–794.
SEKESEKE-2008-XuSW #adaptation #fault #predict
An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction (ZX, NS, WW), pp. 79–84.
SIGIRSIGIR-2008-SchenkelCKMNPW #performance #query
Efficient top-k querying over social-tagging networks (RS, TC, MK, SM, TN, JXP, GW), pp. 523–530.
MODELSMoDELS-2008-SaadKS #framework #modelling #testing #visual notation
Visual ScatterUnit: A Visual Model-Driven Testing Framework of Wireless Sensor Networks Applications (MAS, NK, JHS), pp. 751–765.
MODELSMoDELS-2008-SaadKS #framework #modelling #testing #visual notation
Visual ScatterUnit: A Visual Model-Driven Testing Framework of Wireless Sensor Networks Applications (MAS, NK, JHS), pp. 751–765.
PLDIPLDI-2008-McCamantE #capacity #data flow
Quantitative information flow as network flow capacity (SM, MDE), pp. 193–205.
RERE-2008-MarczakDSS #social
Information Brokers in Requirement-Dependency Social Networks (SM, DD, US, AS), pp. 53–62.
ASEASE-2008-ShevertalovM #automation #case study #composition
A Case Study on the Automatic Composition of Network Application Mashups (MS, SM), pp. 359–362.
FSEFSE-2008-KulturTB #estimation #memory management #named #using
ENNA: software effort estimation using ensemble of neural networks with associative memory (YK, BT, ABB), pp. 330–338.
FSEFSE-2008-MeneelyWSO #analysis #developer #predict #social
Predicting failures with developer networks and social network analysis (AM, LW, WS, JAO), pp. 13–23.
FSEFSE-2008-PinzgerNM #developer #predict #question
Can developer-module networks predict failures? (MP, NN, BM), pp. 2–12.
ICSEICSE-2008-ReichertKSMH #analysis #protocol
A language for advanced protocol analysis in automotive networks (TR, EK, WS, AM, DH), pp. 593–602.
ICSEICSE-2008-SiebraCSS #concept #process #testing
Improving the handsets network test process via DMAIC concepts (CdS, PHRC, ALMS, FQBdS), pp. 733–740.
ICSEICSE-2008-ZimmermannN #analysis #dependence #fault #graph #predict #using
Predicting defects using network analysis on dependency graphs (TZ, NN), pp. 531–540.
SACSAC-2008-AquinoFNFLF #clustering #reduction
Sensor stream reduction for clustered wireless sensor networks (ALLdA, CMSF, EFN, ACF, AAFL, AOF), pp. 2052–2056.
SACSAC-2008-BartakC #recognition
Nested temporal networks with alternatives: recognition and tractability (RB, OC), pp. 156–157.
SACSAC-2008-BistarelliS #multi #trust
Propagating multitrust within trust networks (SB, FS), pp. 1990–1994.
SACSAC-2008-CardenasG #architecture #comparison #performance
Performance comparison of Flow Aware Networking (FAN) architectures under GridFTP traffic (CC, MG), pp. 2079–2084.
SACSAC-2008-CastroS #image #multi
Restoring images with a multiscale neural network based technique (APAdC, JDSdS), pp. 1693–1697.
SACSAC-2008-ChidlovskiiL #dependence #documentation #layout
Stacked dependency networks for layout document structuring (BC, LL), pp. 424–428.
SACSAC-2008-ChongKLG #energy #using
Using association rules for energy conservation in wireless sensor networks (SKC, SK, SWL, MMG), pp. 971–975.
SACSAC-2008-CorreaLSM #composition #learning
Neural network based systems for computer-aided musical composition: supervised x unsupervised learning (DCC, ALML, JHS, JFM), pp. 1738–1742.
SACSAC-2008-FlhoME #development #mobile
Supporting the development of context-aware agent-based systems for mobile networks (JVF, MAdGM, ME), pp. 1872–1873.
SACSAC-2008-FreireVMP
Track on Computer Networks: editorial message (MMF, TV, EM, MP), p. 2040.
SACSAC-2008-FreryRNN #estimation #fault
Error estimation in wireless sensor networks (ACF, HSR, JAN, EFN), pp. 1923–1928.
SACSAC-2008-GennaroMOR #peer-to-peer #query #similarity
Processing complex similarity queries in peer-to-peer networks (CG, MM, SO, FR), pp. 473–478.
SACSAC-2008-KimKL #framework #middleware #named #platform
COSMOS: a middleware platform for sensor networks and a u-healthcare service (YBK, MK, YJL), pp. 512–513.
SACSAC-2008-LeoneS #clustering #process #scalability
Interacting urns processes: for clustering of large-scale networks of tiny artifacts (PL, EMS), pp. 2046–2051.
SACSAC-2008-LiG #detection #optimisation #using
TCM-KNN scheme for network anomaly detection using feature-based optimizations (YL, LG), pp. 2103–2109.
SACSAC-2008-LoTP #detection #hardware #implementation #regular expression
Hardware implementation for network intrusion detection rules with regular expression support (CTDL, YGT, KP), pp. 1535–1539.
SACSAC-2008-MartinottoJCGDP #generative #random
Generation of continuous random networks by simulated annealing (ALM, FJ, LAC, VG, RVD, CAP), pp. 48–49.
SACSAC-2008-MowatSSC #approximate #peer-to-peer
Extending peer-to-peer networks for approximate search (AM, RS, MS, IC), pp. 455–459.
SACSAC-2008-ReitbauerKEMA #process
Redesigning business networks: reference process, network and service map (SR, FK, CE, KM, RA), pp. 540–547.
SACSAC-2008-RezendeRL #ad hoc #architecture #mobile
Publish/subscribe architecture for mobile ad hoc networks (CGR, BPSR, AAFL), pp. 1913–1917.
SACSAC-2008-Rodriguez-PerezEM #framework #named
Surework: a super-peer reputation framework for p2p networks (MRP, OE, JLM), pp. 2019–2023.
SACSAC-2008-SalesAP #on the #performance
On the performance of TCP, UDP and DCCP over 802.11 g networks (LMdS, HOdA, AP), pp. 2074–2078.
SACSAC-2008-SantanaGSADGP #mobile #peer-to-peer
Improving network management with mobile agents in peer-to-peer networks (RLS, DGG, JNdS, RMCA, EPDJ, LZG, LP), pp. 1874–1875.
SACSAC-2008-SantosCGAT #on the #performance
On the performance of employing presence services in P2P-based network management systems (CRPdS, SLC, LZG, MJBA, LMRT), pp. 2090–2094.
SACSAC-2008-SantosSMCSGAT #design #evaluation #on the #performance
On the design and performance evaluation of notification support for P2P-based network management (CRPdS, LFDS, CCM, SLC, EMS, LZG, MJBA, LMRT), pp. 2057–2062.
SACSAC-2008-ShiguemoriVS #approach #retrieval
Atmospheric temperature retrieval from satellite data: new non-extensive artificial neural network approach (EHS, HFdCV, JDSdS), pp. 1688–1692.
SACSAC-2008-SpinosaCG #clustering #concept #data type #detection #novel
Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks (EJS, ACPLFdC, JG), pp. 976–980.
SACSAC-2008-SridharanBRA #architecture #fault tolerance #implementation
Implementing an autonomic architecture for fault-tolerance in a wireless sensor network testbed for at-scale experimentation (MS, SB, RR, AA), pp. 1670–1676.
SACSAC-2008-TiakasPNM #estimation
Selectivity estimation in spatial networks (ET, ANP, AN, YM), pp. 852–856.
SACSAC-2008-WeiMZL #realtime
A bandwidth management scheme support for real-time applications in wireless mesh networks (YW, RM, TZ, XL), pp. 2063–2068.
SACSAC-2008-YeLC #adaptation #mobile
Adaptive caching with heterogeneous devices in mobile peer to peer network (FY, QL, EC), pp. 1897–1901.
SACSAC-2008-ZhangNLH #approach #enterprise #modelling #security
A model-based semi-quantitative approach for evaluating security of enterprise networks (ZZ, FNA, XL, PHH), pp. 1069–1074.
CASECASE-2008-AsarUAH #generative
Traffic responsive signal timing plan generation based on neural network (AuA, MSU, JA, RuH), pp. 833–838.
CASECASE-2008-BiasiSLI #process #simulation
Simulation of process control with WirelessHART networks subject to packet losses (MDB, CS, KL, AJI), pp. 548–553.
CASECASE-2008-HanX #identification #multi #using
Nonlinear systems identification using dynamic multi-time scales neural networks (XH, WFX), pp. 448–453.
CASECASE-2008-HoshinoFS #pipes and filters #scheduling
Integrated scheduling for gasoline blending considering storage tanks and pipe network (SH, NF, HS), pp. 784–789.
CASECASE-2008-LiMAM #multi #scheduling
Low-complexity Channel-Aware Scheduling for multichannel wireless local area networks (YL, SM, PA, SFM), pp. 133–138.
CASECASE-2008-LiuWZ #detection #multi
Cooperative multipath routing and relay based on noncoherent detection in wireless sensor networks (LL, ZW, MZ), pp. 128–132.
CASECASE-2008-LiYB #multi
Neural network based path planning for a multi-robot system with moving obstacles (HL, SXY, YB), pp. 163–168.
CASECASE-2008-NixonCBM #performance
Meeting control performance over a wireless mesh network (MN, DC, TB, AKM), pp. 540–547.
CASECASE-2008-PanMI
Electrostatic torsional micromirror: Its active control and applications in optical network (YJP, YM, SI), pp. 151–156.
CASECASE-2008-ParkDB #collaboration #energy #performance #reduction
Collaborative data reduction for energy efficient sensor networks (CP, YD, EB), pp. 442–447.
CASECASE-2008-PonnambalamPMS #using
Modified ART1 neural networks for cell formation using production data (SGP, RSP, SSM, SS), pp. 603–608.
CASECASE-2008-SchiffKBDASG #mobile #navigation
Actuator networks for navigating an unmonitored mobile robot (JS, APK, DB, VD, RA, DS, KG), pp. 53–60.
CASECASE-2008-StabelliniZ #approach #learning #self
Interference aware self-organization for wireless sensor networks: A reinforcement learning approach (LS, JZ), pp. 560–565.
DACDAC-2008-BalkanQV #hybrid #parallel
An area-efficient high-throughput hybrid interconnection network for single-chip parallel processing (AOB, GQ, UV), pp. 435–440.
DACDAC-2008-HsuW #algorithm #memory management #power management
A generalized network flow based algorithm for power-aware FPGA memory mapping (TYH, TCW), pp. 30–33.
DACDAC-2008-LukasiewyczGHTRL #concurrent #integration #optimisation
Concurrent topology and routing optimization in automotive network integration (ML, MG, CH, JT, RR, BL), pp. 626–629.
DACDAC-2008-MoussaBJ #flexibility #multi
Binary de Bruijn on-chip network for a flexible multiprocessor LDPC decoder (HM, AB, MJ), pp. 429–434.
DACDAC-2008-NieuwoudtKM #automation #configuration management #design
Automated design of tunable impedance matching networks for reconfigurable wireless applications (AN, JK, YM), pp. 498–503.
DACDAC-2008-YanZTCM #distributed #linear #named #order #reduction
DeMOR: decentralized model order reduction of linear networks with massive ports (BY, LZ, SXDT, JC, BM), pp. 409–414.
DATEDATE-2008-AsianVR #implementation
Practical Implementation of a Network Analyzer for Analog BIST Applications (MJBA, DV, AR), pp. 80–85.
DATEDATE-2008-BuboltzK
Front End Device for Content Networking (JB, TK), pp. 1456–1461.
DATEDATE-2008-CongX
Simultaneous FU and Register Binding Based on Network Flow Method (JC, JX), pp. 1057–1062.
DATEDATE-2008-DasMJZMC #analysis #component #detection #implementation #performance
An Efficient FPGA Implementation of Principle Component Analysis based Network Intrusion Detection System (AD, SM, SJ, JZ, GM, ANC), pp. 1160–1165.
DATEDATE-2008-EberleG #architecture #automation #communication #design #power management #scalability
A scalable low-power digital communication network architecture and an automated design path for controlling the analog/RF part of SDR transceivers (WE, MG), pp. 710–715.
DATEDATE-2008-FarahaniFS #architecture #scalability #using
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence (AFF, SMF, SS), pp. 1340–1345.
DATEDATE-2008-GlassLRHT #analysis #optimisation #reliability
Symbolic Reliability Analysis and Optimization of ECU Networks (MG, ML, FR, CH, JT), pp. 158–163.
DATEDATE-2008-HooverB
Synthesizing Synchronous Elastic Flow Networks (GH, FB), pp. 306–311.
DATEDATE-2008-LiTM #analysis #grid #named #power management
ETBR: Extended Truncated Balanced Realization Method for On-Chip Power Grid Network Analysis (DL, SXDT, BM), pp. 432–437.
DATEDATE-2008-RinconPRZSAPM #energy #estimation #framework #platform
OS-Based Sensor Node Platform and Energy Estimation Model for Health-Care Wireless Sensor Networks (FJR, MP, JR, QZ, MSE, DA, JP, GDM), pp. 1027–1032.
DATEDATE-2008-ZhangZYZSPZCMSIC #multi
Finding the Worst Voltage Violation in Multi-Domain Clock Gated Power Network (WZ, YZ, WY, LZ, RS, HP, ZZ, LCE, RM, TS, NI, CKC), pp. 537–540.
HPDCHPDC-2008-FigueiredoBJW #ad hoc #deployment #social
Facilitating the deployment of ad-hoc virtual organizations with integrated social and overlay networks (RJOF, POB, PSJ, DW), pp. 201–204.
HPDCHPDC-2008-KhannaCKSSKF #data transfer #multi #optimisation #using
Multi-hop path splitting and multi-pathing optimizations for data transfers over shared wide-area networks using gridFTP (GK, ÜVÇ, TMK, PS, JHS, RK, ITF), pp. 225–226.
HPDCHPDC-2008-ShafaatSMHGR #consistency
Key-based consistency and availability in structured overlay networks (TMS, TS, MM, SH, AG, AR), pp. 235–236.
HPDCHPDC-2008-WangWG #named #performance
XenLoop: a transparent high performance inter-vm network loopback (JW, KLW, KG), pp. 109–118.
OSDIOSDI-2008-ChenZMB #automation #case study #dependence #experience
Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions (XC, MZ, ZMM, PB), pp. 117–130.
OSDIOSDI-2008-JainMKYDZ #consistency #metric #monitoring #scalability
Network Imprecision: A New Consistency Metric for Scalable Monitoring (NJ, PM, DK, PY, MD, YZ), pp. 87–102.
PDPPDP-2008-CasaleCT #estimation #modelling #performance #robust
Robust Workload Estimation in Queueing Network Performance Models (GC, PC, RT), pp. 183–187.
PDPPDP-2008-Chaves-GonzalezDRPS #problem
Parallelizing PBIL for Solving a Real-World Frequency Assignment Problem in GSM Networks (JMCG, DDG, MÁVR, JAGP, JMSP), pp. 391–398.
PDPPDP-2008-DinhLTM #distributed #scalability #simulation
Large Scale Distributed Simulation of p2p Networks (TTAD, ML, GKT, RM), pp. 499–507.
PDPPDP-2008-LeiZGZ #architecture #named #thread
MEANS: A Micro-thrEad Architecture for Network Server (YL, WZ, YG, HZ), pp. 38–42.
PDPPDP-2008-LouatiZ #using
Personal Overlay Networks Management Using a P2P-based Publish/Subscribe Naming System (WL, DZ), pp. 95–99.
PDPPDP-2008-Martinez-YelmoCGM #performance
Routing Performance in a Hierarchical DHT-based Overlay Network (IMY, RCR, CG, AM), pp. 508–515.
PDPPDP-2008-MerzPW #coordination #distributed #framework #simulation #using
A Simulation Framework for Distributed Super-Peer Topology Construction Using Network Coordinates (PM, MP, SW), pp. 491–498.
PDPPDP-2008-OrtizODP #comparison #interface
Comparison of Onloading and Offloading Strategies to Improve Network Interfaces (AO, JO, AFD, AP), pp. 253–260.
PDPPDP-2008-PerezCG
Building and Managing Policy-Based Secure Overlay Networks (GMP, FJGC, AFGS), pp. 597–603.
PDPPDP-2008-RequenaGLD
Exploiting Wiring Resources on Interconnection Network: Increasing Path Diversity (CGR, MEG, PL, JD), pp. 20–29.
STOCSTOC-2008-BansalKN #bound #design
Additive guarantees for degree bounded directed network design (NB, RK, VN), pp. 769–778.
STOCSTOC-2008-ChakrabortyCK #design
Network design for vertex connectivity (TC, JC, SK), pp. 167–176.
STOCSTOC-2008-KleinbergT #social
Balanced outcomes in social exchange networks (JMK, ÉT), pp. 295–304.
STOCSTOC-2008-LauS #approximate #bound #design
Additive approximation for bounded degree survivable network design (LCL, MS), pp. 759–768.
STOCSTOC-2008-Racke
Optimal hierarchical decompositions for congestion minimization in networks (HR), pp. 255–264.
ICLPICLP-2008-GebserSTUV #biology #consistency #detection #nondeterminism #programming #scalability #set
Detecting Inconsistencies in Large Biological Networks with Answer Set Programming (MG, TS, ST, BU, PV), pp. 130–144.
FATESTestCom-FATES-2008-ShuCLLSL #framework #named #paradigm #security #testing
VCSTC: Virtual Cyber Security Testing Capability — An Application Oriented Paradigm for Network Infrastructure Protection (GS, DC, ZL, NL, LS, DL), pp. 119–134.
FATESTestCom-FATES-2008-Yasuda #development
All-IP Based Ultra 3G Network/Service Development in a Competitive Market (YY), pp. 1–4.
VMCAIVMCAI-2008-DanosFFK #abstract interpretation
Abstract Interpretation of Cellular Signalling Networks (VD, JF, WF, JK), pp. 83–97.
ECSAECSA-2007-LosillaVAIS #approach #architecture #development
Wireless Sensor Network Application Development: An Architecture-Centric MDE Approach (FL, CVC, , AI, PS), pp. 179–194.
DRRDRR-2007-Likforman-SulemS #recognition #using
Recognition of degraded handwritten digits using dynamic Bayesian networks (LLS, MS).
TPDLECDL-2007-BernareggiD #named #speech
aScience: A Thematic Network on Speech and Tactile Accessibility to Scientific Digital Resources (CB, GCD), pp. 515–517.
TPDLECDL-2007-HessR #documentation #nondeterminism
A Model of Uncertainty for Near-Duplicates in Document Reference Networks (CH, MdR), pp. 449–453.
TPDLECDL-2007-MezSG #library #named
EOD — European Network of Libraries for eBooks on Demand (ZM, SS, SG), pp. 570–572.
HTHT-2007-MasonT #case study #social #using
Tags, networks, narrative: exploring the use of social software for the study of narrative in digital contexts (BLM, ST), pp. 39–40.
ICDARICDAR-2007-CheikhK #recognition
Neural Network for the Recognition of Handwritten Tunisian City Names (IBC, AK), pp. 1108–1112.
ICDARICDAR-2007-Likforman-SulemS #recognition #using
Recognition of Broken Characters from Historical Printed Books Using Dynamic Bayesian Networks (LLS, MS), pp. 173–177.
ICDARICDAR-2007-QuiniouA #detection #fault #online #recognition #using
Use of a Confusion Network to Detect and Correct Errors in an On-Line Handwritten Sentence Recognition System (SQ, ÉA), pp. 382–386.
ICDARICDAR-2007-WillemsV #approach #detection #interactive
A Bayesian Network Approach to Mode Detection for Interactive Maps (DW, LV), pp. 869–873.
JCDLJCDL-2007-BorgmanWMP #architecture #embedded #library #using
Drowning in data: digital library architecture to support scientific use of embedded sensor networks (CLB, JCW, MSM, AP), pp. 269–277.
JCDLJCDL-2007-LiCZL #automation #case study #classification #using
Automatic patent classification using citation network information: an experimental study in nanotechnology (XL, HC, ZZ, JL), pp. 419–427.
JCDLJCDL-2007-ShevadeSX #image #modelling #social
Modeling personal and social network context for event annotation in images (BS, HS, LX), pp. 127–134.
SIGMODSIGMOD-2007-MullerRDAK #flexibility #framework #platform
A dynamic and flexible sensor network platform (RM, JSR, MD, GA, DK), pp. 1085–1087.
SIGMODSIGMOD-2007-YangLOT #execution #monitoring #query
In-network execution of monitoring queries in sensor networks (XY, HBL, MTÖ, KLT), pp. 521–532.
VLDBVLDB-2007-BhattacharyaMS #distributed #modelling #named #query #statistics #using
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models (AB, AM, AKS), pp. 854–865.
VLDBVLDB-2007-GonzalezHLMS #adaptation #approach #mining #performance
Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach (HG, JH, XL, MM, JPS), pp. 794–805.
ITiCSEITiCSE-2007-AlstesL #learning #named #online #programming
VERKKOKE: learning routing and network programming online (AA, JL), pp. 91–95.
ITiCSEITiCSE-2007-GoldwasserL #programming
Introducing network programming into a CS1 course (MHG, DL), pp. 19–22.
ITiCSEITiCSE-2007-Pullen
Network educationware demonstration (JMP), p. 355.
SIGITESIGITE-2007-AlbeeCMTW #student
A student-managed networking laboratory (PBA, LAC, MAM, CMT, JLW), pp. 67–74.
SIGITESIGITE-2007-ArmitageGR
Remotely accessible sandboxed environment with application to a laboratory course in networking (WDA, AG, MR), pp. 83–90.
SIGITESIGITE-2007-Frye #education #learning
Wireless sensor networks: learning and teaching (LMF), pp. 269–270.
SIGITESIGITE-2007-GerdesT #concept #overview
A conceptual overview of the virtual networking laboratory (JGJ, SRT), pp. 75–82.
SIGITESIGITE-2007-WagnerRB #multi #peer-to-peer
A multi-part lab exercise for analyzing the effect of peer-to-peer software on a university network (BW, SR, KB), pp. 233–238.
ICPCICPC-2007-MirarabHT #co-evolution #predict #using
Using Bayesian Belief Networks to Predict Change Propagation in Software Systems (SM, AH, LT), pp. 177–188.
ICALPICALP-2007-CaragiannisFM #ad hoc #energy #exponential #heuristic
An Exponential Improvement on the MST Heuristic for Minimum Energy Broadcasting in Ad Hoc Wireless Networks (IC, MF, LM), pp. 447–458.
LATALATA-2007-AlhazovMR #predict
Networks of Evolutionary Processors with Two Nodes Are Unpredictable (AA, CMV, YR), pp. 521–528.
LATALATA-2007-Domosi #automaton
Automata Networks without any Letichevsky Criteria (PD), pp. 237–248.
LATALATA-2007-Komendantskaya #deduction #first-order
First-order deduction in neural networks (EK), pp. 307–318.
IFMIFM-2007-FehnkerHM #modelling #protocol #verification
Modelling and Verification of the LMAC Protocol for Wireless Sensor Networks (AF, LvH, AM), pp. 253–272.
IFMIFM-2007-SalaunKLM #automaton
Translating FSP into LOTOS and Networks of Automata (GS, JK, FL, JM), pp. 558–578.
SFMSFM-2007-BalsamoM
Queueing Networks (SB, AM), pp. 34–82.
LISPILC-2007-AkashiTFHS #framework #lisp #platform
Lisp-based agent platform and applications for inter-domain network management (OA, AT, KF, TH, TS), p. 14.
LISPILC-2007-GencerGT #analysis #lisp #named #social
CL-SNA: social network analysis with Lisp (MG, CG, VST), p. 17.
CoGCIG-2007-Manning #difference #evaluation #learning
Temporal Difference Learning of an Othello Evaluation Function for a Small Neural Network with Shared Weights (EPM), pp. 216–223.
CoGCIG-2007-ParkerP #evolution #multi
The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents (MP, GBP), pp. 232–237.
CoGCIG-2007-SeredynskiBK #ad hoc #behaviour #evolution #game studies #modelling #using
Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model (MS, PB, MAK), pp. 96–103.
DiGRADiGRA-2007-StromE #bound #case study #industrial #interactive
The unbound network of product and service interaction of the MMOG industry: with a case study of China (PS, ME).
CHICHI-2007-LampeES #online #social
A familiar face(book): profile elements as signals in an online social network (CL, NBE, CS), pp. 435–444.
CHICHI-2007-ShehanE #human-computer #question #what
Home networking and HCI: what hath god wrought? (ES, WKE), pp. 547–556.
HCIHCI-AS-2007-LeeNB #monitoring #reliability #using
Personal Life Logger and Belonging Monitor Using Reliable ZigBee Networks (KL, KN, CB), pp. 961–970.
HCIHCI-AS-2007-LiYG #classification #realtime #towards
Traffic Classification — Towards Accurate Real Time Network Applications (ZL, RY, XG), pp. 67–76.
HCIHCI-IPT-2007-ChoiY #multi #named
MKPS: A Multi-level Key Pre-distribution Scheme for Secure Wireless Sensor Networks (SJC, HYY), pp. 808–817.
HCIHCI-IPT-2007-UedaMCSKMK #interactive #ubiquitous
Human-Robot Interaction in the Home Ubiquitous Network Environment (HU, MM, MC, JS, AK, KM, MK), pp. 990–997.
HCIHCI-MIE-2007-DerakhshiK #bound #fuzzy #predict #sequence #using #word
Using Recurrent Fuzzy Neural Networks for Predicting Word Boundaries in a Phoneme Sequence in Persian Language (MRFD, MRK), pp. 50–59.
HCIHCI-MIE-2007-KimLRHH #analysis #design #performance #quality #speech
Performance Analysis of Perceptual Speech Quality and Modules Design for Management over IP Network (JK, HWL, WR, SHH, MH), pp. 84–93.
HCIHCI-MIE-2007-KimSK #using
Emotion-Based Textile Indexing Using Neural Networks (NYK, YS, EYK), pp. 349–357.
HCIHIMI-IIE-2007-Kim07a #internet #mobile #social #ubiquitous #web #web service
Mobile Social Networking Based on Mobile Internet and Ubiquitous Web Services (YBK), pp. 536–545.
HCIHIMI-IIE-2007-ShinPCC #ad hoc #energy #human-computer #mobile #performance
Energy Efficient Route Discovery for Mobile HCI in Ad-Hoc Networks (KS, KP, MYC, HC), pp. 635–644.
HCIHIMI-IIE-2007-ZimolongK #workflow
A Workflow Based Management System for Virtual Teams in Production Networks (BZ, BK), pp. 1004–1009.
HCIHIMI-MTT-2007-AblassmeierPRR #using
Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks (MA, TP, SR, GR), pp. 561–570.
HCIHIMI-MTT-2007-KimK #ad hoc #mobile #performance
Distance-Based Bloom Filter for an Efficient Search in Mobile Ad Hoc Networks (BK, KK), pp. 471–479.
HCIHIMI-MTT-2007-ParkPLC #adaptation #framework #human-computer #mobile #power management
A Network Framework on Adaptive Power Management in HCI Mobile Terminals (HP, KP, TJL, HC), pp. 728–737.
HCIHIMI-MTT-2007-TogawaKY #communication #detection #mining #peer-to-peer #using
Peer-to-Peer File Sharing Communication Detection System Using Network Traffic Mining (ST, KK, YY), pp. 769–778.
HCIOCSC-2007-DayF #analysis #community #concept #named #research
CNA2 — Communications and Community; Neighborhoods and Networks; Action and Analysis: Concepts and Methods for Community Technology Research (PD, CF), pp. 301–314.
HCIOCSC-2007-KanawatiM #approach #information management #social
Computing Social Networks for Information Sharing: A Case-Based Approach (RK, MM), pp. 86–95.
HCIOCSC-2007-MorrisonG #interactive #named #social #visualisation
ConnectDots: Visualizing Social Network Interaction for Improved Social Decision Making (DM, BG), pp. 134–140.
HCIOCSC-2007-SagaT #ranking #social
Ranking Method for Mediators in Social Network (RS, HT), pp. 151–159.
HCIOCSC-2007-ZhangYAQ #named #social #tool support
SISN: A Toolkit for Augmenting Expertise Sharing Via Social Networks (JZ, YY, MSA, YQ), pp. 491–500.
EDOCEDOC-2007-ChenAQH #security #self
Self-Configuration of Network Security (HC, YBAN, GQ, SH), pp. 97–110.
ICEISICEIS-AIDSS-2007-CuellarDP #algorithm #hybrid #problem
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks (MPC, MD, MdCPJ), pp. 204–211.
ICEISICEIS-AIDSS-2007-MartinLGM
Applying Integrated Expert System in Network Management (AM, CL, JIG, FJM), pp. 101–106.
ICEISICEIS-AIDSS-2007-SkaruzSB #approach #detection #sql
Recurrent Neural Networks Approach to The Detection of SQL Attacks (JS, FS, PB), pp. 191–197.
ICEISICEIS-DISI-2007-PapatheocharousA #estimation #using
Software cost estimation using artificial neural networks with inputs selection (EP, ASA), pp. 398–407.
ICEISICEIS-EIS-2007-KarnouskosS #enterprise #towards #using
Towards Enterprise Applications Using Wireless Sensor Networks (SK, PS), pp. 230–236.
ICEISICEIS-EIS-2007-SilvaMA #collaboration #enterprise
Conflict Resolution in Collaborative Network Enterprises (SAdS, PM, PA), pp. 329–333.
ICEISICEIS-HCI-2007-ChungH #performance #social
The Effect of ICT Enabled Social Networks on Performance (KSKC, LH), pp. 105–110.
CIKMCIKM-2007-FortunaRM #analysis #classification #social
Improving the classification of newsgroup messages through social network analysis (BF, EMR, NMF), pp. 877–880.
CIKMCIKM-2007-FuPL #optimisation #parallel #query
Optimizing parallel itineraries for knn query processing in wireless sensor networks (TYF, WCP, WCL), pp. 391–400.
CIKMCIKM-2007-LiuTZ #learning
Ensembling Bayesian network structure learning on limited data (FL, FT, QZ), pp. 927–930.
CIKMCIKM-2007-NamataSGS #approach #interactive #visualisation
A dual-view approach to interactive network visualization (GN, BS, LG, BS), pp. 939–942.
CIKMCIKM-2007-RaoCFB #analysis #peer-to-peer
Optimal proactive caching in peer-to-peer network: analysis and application (WR, LC, AWCF, YB), pp. 663–672.
CIKMCIKM-2007-VieiraFDGRR #performance #ranking #social
Efficient search ranking in social networks (MVV, BMF, RD, PBG, DdCR, BARN), pp. 563–572.
ECIRECIR-2007-KongL #documentation #modelling #multi #xml
Combining Multiple Sources of Evidence in XML Multimedia Documents: An Inference Network Incorporating Element Language Models (ZK, ML), pp. 716–719.
ECIRECIR-2007-MelucciP #case study #information retrieval #peer-to-peer
A Study of a Weighting Scheme for Information Retrieval in Hierarchical Peer-to-Peer Networks (MM, AP), pp. 136–147.
ECIRECIR-2007-NottelmannF #distributed #formal method #peer-to-peer #query
A Decision-Theoretic Model for Decentralised Query Routing in Hierarchical Peer-to-Peer Networks (HN, NF), pp. 148–159.
ICMLICML-2007-GuoHFX #approach #modelling
Recovering temporally rewiring networks: a model-based approach (FG, SH, WF, EPX), pp. 321–328.
ICMLICML-2007-Jaeger #learning #parametricity #relational
Parameter learning for relational Bayesian networks (MJ), pp. 369–376.
ICMLICML-2007-MihalkovaM #bottom-up #learning #logic #markov
Bottom-up learning of Markov logic network structure (LM, RJM), pp. 625–632.
ICMLICML-2007-RattiganMJ #clustering #graph
Graph clustering with network structure indices (MJR, MEM, DJ), pp. 783–790.
ICMLICML-2007-TitovH #incremental #predict
Incremental Bayesian networks for structure prediction (IT, JH), pp. 887–894.
KDDKDD-2007-Kleinberg #challenge #mining #privacy #process #social
Challenges in mining social network data: processes, privacy, and paradoxes (JMK), pp. 4–5.
KDDKDD-2007-LeskovecKGFVG #detection #effectiveness
Cost-effective outbreak detection in networks (JL, AK, CG, CF, JMV, NSG), pp. 420–429.
KDDKDD-2007-LuoXLS #classification #distributed #peer-to-peer
Distributed classification in peer-to-peer networks (PL, HX, KL, ZS), pp. 968–976.
KDDKDD-2007-PandeySGGK #case study #interactive #predict
Association analysis-based transformations for protein interaction networks: a function prediction case study (GP, MS, RG, TG, VK), pp. 540–549.
KDDKDD-2007-PanZZPSPY #mining #modelling
Domain-constrained semi-supervised mining of tracking models in sensor networks (RP, JZ, VWZ, JJP, DS, SJP, QY), pp. 1023–1027.
KDDKDD-2007-ShigaTM #approach #clustering #composition
A spectral clustering approach to optimally combining numericalvectors with a modular network (MS, IT, HM), pp. 647–656.
KDDKDD-2007-TandonC #detection #validation
Weighting versus pruning in rule validation for detecting network and host anomalies (GT, PKC), pp. 697–706.
KDDKDD-2007-TantipathananandhBK #community #framework #identification #social
A framework for community identification in dynamic social networks (CT, TYBW, DK), pp. 717–726.
KDDKDD-2007-XuYFS #algorithm #clustering #named
SCAN: a structural clustering algorithm for networks (XX, NY, ZF, TAJS), pp. 824–833.
KDDKDD-2007-ZhaoDZ #mining
Mining complex power networks for blackout prevention (JHZ, ZYD, PZ), pp. 986–994.
MLDMMLDM-2007-AriuGP #markov #modelling
Sensing Attacks in Computers Networks with Hidden Markov Models (DA, GG, RP), pp. 449–463.
MLDMMLDM-2007-Holness
A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data (GH), pp. 601–615.
SEKESEKE-2007-AmouiST #predict #using
Temporal Software Change Prediction Using Neural Networks (MA, MS, LT), pp. 380–385.
SEKESEKE-2007-WeiAZ #effectiveness #framework #validation
Validating A Layered Decision Framework for Cost-Effective Network Defense (HW, JAF, DZ), pp. 105–110.
SEKESEKE-2007-WongZQCD #effectiveness #fault #locality #using
Effective Fault Localization using BP Neural Networks (WEW, LZ, YQ, KYC, JD), pp. 374–379.
SIGIRSIGIR-2007-MizzaroR #analysis #evaluation #information retrieval
Hits hits TREC: exploring IR evaluation results with network analysis (SM, SR), pp. 479–486.
SIGIRSIGIR-2007-TurunenK #documentation #retrieval
Indexing confusion networks for morph-based spoken document retrieval (VTT, MK), pp. 631–638.
AdaEuropeAdaEurope-2007-ChanCCTZ #power management #testing #towards
Towards the Testing of Power-Aware Software Applications for Wireless Sensor Networks (WKC, TYC, SCC, THT, ZZ), pp. 84–99.
PLDIPLDI-2007-KothariGMG #abstraction #performance #programming #reliability
Reliable and efficient programming abstractions for wireless sensor networks (NK, RG, TDM, RG), pp. 200–210.
PLDIPLDI-2007-LiZ #concurrent #evaluation #implementation #monad #scalability #thread
Combining events and threads for scalable network services implementation and evaluation of monadic, application-level concurrency primitives (PL, SZ), pp. 189–199.
PLDIPLDI-2007-LiZYZ #compilation #energy #named #performance
UCC: update-conscious compilation for energy efficiency in wireless sensor networks (WL, YZ, JY, JZ), pp. 383–393.
QAPLQAPL-2007-Argent-KatwalaB #behaviour
PEPA Queues: Capturing Customer Behaviour in Queueing Networks (AAK, JTB), pp. 3–25.
AdaSIGAda-2007-CarlisleB #ada #c
Timing neural networks in C and ada (MCC, LCBI), pp. 71–74.
RERE-2007-DamianMK #collaboration #distance #social
Collaboration Patterns and the Impact of Distance on Awareness in Requirements-Centred Social Networks (DD, SM, IK), pp. 59–68.
RERE-2007-Fricker #social #using
Explaining Stakeholder Negotiation Using Social Goal Networks (SF), pp. 387–388.
ESEC-FSEESEC-FSE-2007-Hanna #implementation #lightweight #named #protocol #security #verification
SLEDE: lightweight verification of sensor network security protocol implementations (YH), pp. 591–594.
SACSAC-2007-AlbertiniM #detection #self
A self-organizing neural network for detecting novelties (MKA, RFdM), pp. 462–466.
SACSAC-2007-BatistaFM #grid #set
A set of schedulers for grid networks (DMB, NLSdF, FKM), pp. 209–213.
SACSAC-2007-CheliusFF #development #framework #named #performance
Worldsens: a fast and accurate development framework for sensor network applications (GC, AF, EF), pp. 222–226.
SACSAC-2007-CostaSAA #peer-to-peer
Fighting pollution dissemination in peer-to-peer networks (CPC, VS, JMA, VA), pp. 1586–1590.
SACSAC-2007-FurtadoMCM #modelling #simulation #social
A crime simulation model based on social networks and swarm intelligence (VF, AM, ALVC, RM), pp. 56–57.
SACSAC-2007-HuangHYCK #named #operating system
LA-TinyOS: a locality-aware operating system for wireless sensor networks (TYH, KYH, HYY, ETHC, CTK), pp. 1151–1158.
SACSAC-2007-JinM #scheduling
An analytical model for generalized processor sharing scheduling with heterogeneous network traffic (XJ, GM), pp. 198–202.
SACSAC-2007-JunJ #ad hoc #automation #mobile #protocol
Automated routing protocol selection in mobile ad hoc networks (TJ, CJ), pp. 906–913.
SACSAC-2007-KanzakiHN #ad hoc #mobile #performance #protocol
An efficient TDMA slot assignment protocol in mobile ad hoc networks (AK, TH, SN), pp. 891–895.
SACSAC-2007-KimVH #coordination #scalability
Scalable coordination for sensor networks in challenging environments (SK, VV, KH), pp. 214–221.
SACSAC-2007-LeeKS #scheduling
A fair scheduling scheme for a time-sensitive traffic over the dual-channel wireless network (JL, MK, AS), pp. 1131–1135.
SACSAC-2007-LimaC #ad hoc #corba #framework
A framework for CORBA interoperability in ad hoc networks (LAPLJ, AC), pp. 930–934.
SACSAC-2007-LimaSC #estimation #metric #multi
Enhancing QoS metrics estimation in multiclass networks (SRL, PNMdS, PC), pp. 227–231.
SACSAC-2007-LiYAZ #metric
Finding hierarchical heavy hitters in network measurement system (YL, JY, CA, HZ), pp. 232–236.
SACSAC-2007-MichalariasB #ad hoc #multi #query
Multidimensional querying in wireless ad hoc networks (IM, CB), pp. 529–530.
SACSAC-2007-PetterssonSK #approach
A CP-LP approach to network management in OSPF routing (MPP, RS, KK), pp. 311–315.
SACSAC-2007-SausenSLP #bound #multi
Bounded-distance multi-coverage backbones in wireless sensor networks (PSS, MAS, AMNdL, AP), pp. 203–208.
SACSAC-2007-SawaiSKHN #ad hoc #consistency
Quorum-based consistency management among replicas in ad hoc networks with data update (YS, MS, AK, TH, SN), pp. 955–956.
SACSAC-2007-TetsuyaAHN #ad hoc #generative #using
Topology information generation methods using a routing table in ad hoc network applications (TT, AK, TH, SN), pp. 896–900.
SACSAC-2007-TreeprapinKHN #mobile
A mobile sensor control method for sparse sensor networks (KT, AK, TH, SN), pp. 886–890.
SACSAC-2007-YanWZ #ad hoc #mobile #protocol
Dual agreement virtual subnet protocol for mobile ad-hoc networks (KQY, SCW, GYZ), pp. 953–954.
SACSAC-2007-ZhangMMB #locality #performance #problem #self #using
Performance problem localization in self-healing, service-oriented systems using Bayesian networks (RZ, SM, SM, AB), pp. 104–109.
CASECASE-2007-ChandrashekarN #analysis #coordination
A Shapley Value Analysis to Coordinate the Formation of Procurement Networks (TSC, YN), pp. 664–669.
CASECASE-2007-ChoDCT #clustering #locality #robust
Robust Calibration for Localization in Clustered Wireless Sensor Networks (JJC, YD, YC, JT), pp. 919–924.
CASECASE-2007-LuHF #process #robust #smarttech #using
Creating Robust Activity Maps Using Wireless Sensor Network in a Smart Home (CHL, YcH, LCF), pp. 741–746.
CASECASE-2007-MoralesGM #effectiveness #fault #petri net
Diagnosis and Treatment of Faults in Productive Systems based on Bayesian Networks and Petri Net (RAGM, JIG, PEM), pp. 357–362.
CASECASE-2007-OkMLK #adaptation #distributed #energy
Distributed Energy-Adaptive Routing for Wireless Sensor Networks (CO, PM, SL, SRTK), pp. 905–910.
CASECASE-2007-OkTRKKZB #monitoring #pipes and filters #self
Optimal Transmission Power in Self-sustainable Sensor Networks for Pipeline Monitoring (CO, HPT, UNR, SRTK, SGK, XZ, STSB), pp. 591–596.
CASECASE-2007-TanonkouBX #design #multi #random
Design of multi-commodity distribution network with random demands and supply lead-times (GAT, LB, XX), pp. 698–703.
CASECASE-2007-YooG #analysis #process
Intruder Activity Analysis under Unreliable Sensor Networks (TSY, HEG), pp. 578–584.
CGOCGO-2007-DaiLH #execution #pipes and filters #using
Pipelined Execution of Critical Sections Using Software-Controlled Caching in Network Processors (JD, LL, BH), pp. 312–324.
DACDAC-2007-AmelifardP #delivery #power management
Optimal Selection of Voltage Regulator Modules in a Power Delivery Network (BA, MP), pp. 168–173.
DACDAC-2007-HagiescuBCSGR #analysis #performance
Performance Analysis of FlexRay-based ECU Networks (AH, UDB, SC, PS, PVVG, SR), pp. 284–289.
DACDAC-2007-LuLJ
Layered Switching for Networks on Chip (ZL, ML, AJ), pp. 122–127.
DACDAC-2007-OstlerC #algorithm #approximate #architecture #concurrent #multi #thread
Approximation Algorithm for Data Mapping on Block Multi-threaded Network Processor Architectures (CO, KSC), pp. 801–804.
DACDAC-2007-ShachamBC #power management
The Case for Low-Power Photonic Networks on Chip (AS, KB, LPC), pp. 132–135.
DACDAC-2007-YuYBY #clustering #recursion
Program Mapping onto Network Processors by Recursive Bipartitioning and Refining (JY, JY, LNB, JY), pp. 805–810.
DATEDATE-2007-EjlaliARM #energy #fault tolerance #performance
Joint consideration of fault-tolerance, energy-efficiency and performance in on-chip networks (AE, BMAH, PMR, SGM), pp. 1647–1652.
DATEDATE-2007-GburzynskiKO #ad hoc #low cost #performance #protocol
A tiny and efficient wireless ad-hoc protocol for low-cost sensor networks (PG, BK, WO), pp. 1557–1562.
DATEDATE-2007-GuptaOJWB #comprehension #distributed #multi #using
Understanding voltage variations in chip multiprocessors using a distributed power-delivery network (MSG, JLO, RJ, GYW, DMB), pp. 624–629.
DATEDATE-2007-HanssonCG #configuration management #multi
Undisrupted quality-of-service during reconfiguration of multiple applications in networks on chip (AH, MC, KG), pp. 954–959.
DATEDATE-2007-LaouamriA #framework #testing #using
Remote testing and diagnosis of System-on-Chips using network management frameworks (OL, CA), pp. 373–378.
DATEDATE-2007-LinXZ #design
Design closure driven delay relaxation based on convex cost network flow (CL, AX, HZ), pp. 63–68.
DATEDATE-2007-MeijerKTK #interactive #process
Interactive presentation: A process splitting transformation for Kahn process networks (SM, BK, AT, EAdK), pp. 1355–1360.
DATEDATE-2007-MoussaMBJ #communication #multi
Butterfly and benes-based on-chip communication networks for multiprocessor turbo decoding (HM, OM, AB, MJ), pp. 654–659.
DATEDATE-2007-NahapetianLABS #configuration management #energy
Dynamic reconfiguration in sensor networks with regenerative energy sources (AN, PL, AA, LB, MS), pp. 1054–1059.
DATEDATE-2007-OstlerC #architecture
An ILP formulation for system-level application mapping on network processor architectures (CO, KSC), pp. 99–104.
DATEDATE-2007-SaponaraPTCF #reliability
FPGA-based networking systems for high data-rate and reliable in-vehicle communications (SS, EP, MT, IDC, LF), pp. 480–485.
DATEDATE-2007-SheibanyradPG #architecture #comparison #implementation #multi
Systematic comparison between the asynchronous and the multi-synchronous implementations of a network on chip architecture (AS, IMP, AG), pp. 1090–1095.
DATEDATE-2007-VillanuevaVMBRL #lightweight #middleware
Lightweight middleware for seamless HW-SW interoperability, with application to wireless sensor networks (FJV, DV, FM, JB, FR, JCL), pp. 1042–1047.
DATEDATE-2007-ZamoraKM #distributed #video
Distributed power-management techniques for wireless network video systems (NHZ, JCK, RM), pp. 564–569.
HPCAHPCA-2007-JinKY #design #scalability
A Domain-Specific On-Chip Network Design for Large Scale Cache Systems (YJ, EJK, KHY), pp. 318–327.
HPCAHPCA-2007-ShaferCMRCZW #concurrent #monitoring #virtual machine
Concurrent Direct Network Access for Virtual Machine Monitors (JS, DC, AM, SR, ALC, WZ, PW), pp. 306–317.
HPDCHPDC-2007-KimKMBS #using
Using content-addressable networks for load balancing in desktop grids (JSK, PJK, MAM, BB, AS), pp. 189–198.
HPDCHPDC-2007-LangeD #virtual machine
Transparent network services via a virtual traffic layer for virtual machines (JRL, PAD), pp. 23–32.
HPDCHPDC-2007-TaesombutC #modelling
Evaluating the impacts of network information models on applications and network service providers (NT, AAC), pp. 215–216.
HPDCHPDC-2007-WeigleC #performance
Partial content distribution on high performance networks (EW, AAC), pp. 137–146.
PDPPDP-2007-AielloACSU #approach #distributed #information management #named
DNK-WSD: A Distributed Approach for Knowledge Discovery in Peer to Peer Networks (GA, MA, MC, PS, AU), pp. 325–332.
PDPPDP-2007-Behnel #modelling
SLOSL--A Modelling Language for Topologies and Routing in Overlay Networks (SB), pp. 498–508.
PDPPDP-2007-BinzenhoferHKE #data type #performance #scalability #simulation
Efficient Simulation of Large-Scale P2P Networks: Compact Data Structures (AB, TH, GK, KE), pp. 467–474.
PDPPDP-2007-CastilloFCV #algorithm
A Modified O(n) Leader Election Algorithm for Complete Networks (MC, FF, AC, JEV), pp. 189–198.
PDPPDP-2007-GoyenecheVAPC #algorithm #architecture #distributed
A Distributed Data Gathering Algorithm for Wireless Sensor Networks with Uniform Architecture (MG, JEV, JJA, MP, AC), pp. 373–380.
PDPPDP-2007-JakabKOTHB #integration #metadata
Metadata Integration and Media Transcoding in Universal-Plug-and-Play (UPnP) Enabled Networks (MJ, MK, MO, RT, HH, LB), pp. 363–372.
PDPPDP-2007-KunzmannNHBE #modelling #performance #scalability #simulation
Efficient Simulation of Large-Scale P2P Networks: Modeling Network Transmission Times (GK, RN, TH, AB, KE), pp. 475–481.
PDPPDP-2007-PlazaVBP #detection #image #parallel #using
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations (AP, DV, SB, JP), pp. 333–340.
PDPPDP-2007-ShaikhKS #modelling #on the #reliability
On Modeling the Reliability of Data Transport in Wireless Sensor Networks (FKS, AK, NS), pp. 395–402.
PDPPDP-2007-YangZH #peer-to-peer #scalability
Scalable Content-Based Publish/Subscribe Services over Structured Peer-to-Peer Networks (XY, YZ, YH), pp. 171–178.
PPoPPPPoPP-2007-GuoDLLC #latency #multi #thread
Latency hiding through multithreading on a network processor (XG, JD, LL, ZL, PRC), pp. 130–131.
PPoPPPPoPP-2007-IancuS #communication #optimisation #performance
Optimizing communication overlap for high-speed networks (CI, ES), pp. 35–45.
PPoPPPPoPP-2007-SchuffCP #detection #parallel
Conservative vs. optimistic parallelization of stateful network intrusion detection (DLS, YRC, VSP), pp. 138–139.
PPoPPPPoPP-2007-WenWM #distributed #named #scalability #simulation
Disens: scalable distributed sensor network simulation (YW, RW, GM), pp. 24–34.
WRLAWRLA-2006-Rodriguez07 #maude #modelling #on the
On Modelling Sensor Networks in Maude (DER), pp. 199–213.
FASEFASE-2007-MirarabT #approach #testing
A Prioritization Approach for Software Test Cases Based on Bayesian Networks (SM, LT), pp. 276–290.
FASEFASE-2007-PadbergHEMBE #ad hoc #architecture #consistency #maintenance #mobile
Maintaining Consistency in Layered Architectures of Mobile Ad-Hoc Networks (JP, KH, HE, TM, EB, CE), pp. 383–397.
STOCSTOC-2007-AndrewsJS #protocol #scheduling
Stability of the max-weight routing and scheduling protocol in dynamic networks and at critical loads (MA, KJ, ALS), pp. 145–154.
STOCSTOC-2007-DonovanSVW
Degree-constrained network flows (PD, FBS, AV, GTW), pp. 681–688.
STOCSTOC-2007-LauNSS #constraints #design #order
Survivable network design with degree or order constraints (LCL, JN, MRS, MS), pp. 651–660.
STOCSTOC-2007-MosselR #on the #social
On the submodularity of influence in social networks (EM, SR), pp. 128–134.
TACASTACAS-2007-BattBW #liveness #model checking #search-based
Model Checking Liveness Properties of Genetic Regulatory Networks (GB, CB, RW), pp. 323–338.
TACASTACAS-2007-BouajjaniJS #framework #infinity #process #reasoning
A Generic Framework for Reasoning About Dynamic Networks of Infinite-State Processes (AB, YJ, MS), pp. 690–705.
TPDLECDL-2006-Butterworth #bound #design #library #social
Designing Digital Library Resources for Users in Sparse, Unbounded Social Networks (RB), pp. 184–195.
TPDLECDL-2006-MazurekPW #distributed #framework #library #platform
Distributed Digital Libraries Platform in the PIONIER Network (CM, TP, MW), pp. 488–491.
JCDLJCDL-2006-CampbellTL #problem
The NDIIPP preservation network: progress, problems, and promise (LEC, HRT, PL), p. 189.
SIGMODSIGMOD-2006-ChandramouliXY #database #interface #on the #scalability
On the database/network interface in large-scale publish/subscribe systems (BC, JX, JY), pp. 587–598.
SIGMODSIGMOD-2006-JagadishOTVZ #multi #peer-to-peer
Speeding up search in peer-to-peer networks with a multi-way tree structure (HVJ, BCO, KLT, QHV, RZ), pp. 1–12.
SIGMODSIGMOD-2006-LooCGGHMRRS #declarative #execution #optimisation
Declarative networking: language, execution and optimization (BTL, TC, MNG, DEG, JMH, PM, RR, TR, IS), pp. 97–108.
SIGMODSIGMOD-2006-SilbersteinBY #constraints #energy #monitoring
Constraint chaining: on energy-efficient continuous monitoring in sensor networks (AS, RB, JY), pp. 157–168.
SIGMODSIGMOD-2006-SilbersteinMY #energy #monitoring
Energy-efficient monitoring of extreme values in sensor networks (AS, KM, JY), pp. 169–180.
SIGMODSIGMOD-2006-XueLCL #detection
Contour map matching for event detection in sensor networks (WX, QL, LC, YL), pp. 145–156.
VLDBVLDB-2006-AbererHS #deployment #flexibility #middleware #performance
A Middleware for Fast and Flexible Sensor Network Deployment (KA, MH, AS), pp. 1199–1202.
VLDBVLDB-2006-ChuT0H #declarative
Entirely Declarative Sensor Network Systems (DC, AT, LP, JMH), pp. 1203–1206.
VLDBVLDB-2006-HuLL #distance
Distance Indexing on Road Networks (HH, DLL, VCSL), pp. 894–905.
VLDBVLDB-2006-MouratidisYPM #monitoring #nearest neighbour
Continuous Nearest Neighbor Monitoring in Road Networks (KM, MLY, DP, NM), pp. 43–54.
VLDBVLDB-2006-ParreiraDMW #approximate #distributed #peer-to-peer #performance #rank #web
Efficient and Decentralized PageRank Approximation in a Peer-to-Peer Web Search Network (JXP, DD, SM, GW), pp. 415–426.
VLDBVLDB-2006-Ryu #ubiquitous
Home Network: Road to Ubiquitous World (IR), p. 1104.
ITiCSEITiCSE-2006-DairaineEJCTL #named #protocol
IREEL: remote experimentation with real protocols and applications over emulated network (LD, EE, GJ, PC, FT, EL), p. 314.
ITiCSEITiCSE-2006-Erlinger
Lab exercises for computer networking courses (ME), p. 305.
ITiCSEITiCSE-2006-TjadenT #student
Training students to administer and defend computer networks and systems (BT, BCT), pp. 245–249.
SIGITESIGITE-2006-LawsonS #question #student
Does a virtual networking laboratory result in similar student achievement and satisfaction? (EAL, WS), pp. 105–114.
ICSMEICSM-2006-JansenR
Reducing Customers’ Total Cost of OwnershipWithin a Software Supply Network (SJ, WR), pp. 269–271.
MSRMSR-2006-BirdGDGS #email #mining #social
Mining email social networks (CB, AG, PTD, MG, AS), pp. 137–143.
MSRMSR-2006-BirdGDGS06a #email #mining #social
Mining email social networks in Postgres (CB, AG, PTD, MG, AS), pp. 185–186.
ICALPICALP-v1-2006-CominettiCM #game studies
Network Games with Atomic Players (RC, JRC, NESM), pp. 525–536.
ICALPICALP-v1-2006-FiatKLOS #design #on the
On the Price of Stability for Designing Undirected Networks with Fair Cost Allocations (AF, HK, ML, SO, RS), pp. 608–618.
FMFM-2006-Zave #composition
Compositional Binding in Network Domains (PZ), pp. 332–347.
AIIDEAIIDE-2006-Knight #lightweight #simulation #using
Lightweight Simulation of Air Traffic Control Using Simple Temporal Networks (RK), pp. 48–53.
AIIDEAIIDE-2006-PriceG #re-engineering #using
Plausible Environment Reconstruction Using Bayesian Networks (RGP, SDG), pp. 130–132.
CoGCIG-2006-Looney #game studies
Intelligent Battle Gaming Pragmatics with Belief Network Trees (CGL), pp. 243–248.
CoGCIG-2006-MillerMC #detection #using
Anomaly Detection in Magnetic Motion Capture using a 2-Layer SOM network (IM, SM, BC), pp. 236–242.
CHICHI-2006-MedynskiyDF #analysis #community #development #hybrid #online #using
Using hybrid networks for the analysis of online software development communities (YEM, ND, AF), pp. 513–516.
CSCWCSCW-2006-GutwinFWDB #performance #realtime
Improving network efficiency in real-time groupware with general message compression (CG, CF, MW, JD, TB), pp. 119–128.
SOFTVISSOFTVIS-2006-BaloukasP #algorithm #visualisation
A visualization software for the network simplex algorithm (TB, KP), pp. 153–154.
SOFTVISSOFTVIS-2006-WendlandtCTM #visual notation #visualisation
The Clack graphical router: visualizing network software (DW, MC, PT, NM), pp. 7–15.
CAiSECAiSE-2006-KartsevaGT
Inter-organisational Controls as Value Objects in Network Organisations (VK, JG, YHT), pp. 336–350.
EDOCEDOC-2006-Ejiri #generative #paradigm
Paradigm Shift of Telecommunications Services and Management for NGN (Next Generation Networks) (ME).
EDOCEDOC-2006-Gilart-IglesiasMGM #embedded
Services and Networks management through embedded devices and SOA (VGI, FMP, JAGMA, DMJ), pp. 395–398.
EDOCEDOC-2006-Hashemzadeh #navigation #performance
A Fast and Efficient Route Finding Method for Car Navigation Systems with Neural Networks (MH), pp. 423–426.
ICEISICEIS-DISI-2006-CoelhoN
Neural Networks and Business Applications: Business Intelligence (PHGC, LBN), pp. 39–40.
ICEISICEIS-DISI-2006-StojanovicDPN #mobile #query
Continuous Range Query Processing for Network Constrained Mobile Objects (DS, SDK, ANP, AN), pp. 63–70.
ICEISICEIS-ISAS-2006-Weghorn #internet
Technology for Least-Cost Network Routing via Bluetooth and its Practical Application — Replacing Internet Access through Wireless Phone Networks by BT Data Links (HW), pp. 394–402.
CIKMCIKM-2006-AlyPC #named
KDDCS: a load-balanced in-network data-centric storage scheme for sensor networks (MA, KP, PKC), pp. 317–326.
ECIRECIR-2006-NottelmannF #architecture #peer-to-peer #query
Comparing Different Architectures for Query Routing in Peer-to-Peer Networks (HN, NF), pp. 253–264.
ICMLICML-2006-GravesFGS #classification #sequence
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (AG, SF, FJG, JS), pp. 369–376.
ICMLICML-2006-NejatiLK #learning
Learning hierarchical task networks by observation (NN, PL, TK), pp. 665–672.
ICMLICML-2006-SenG #learning #markov
Cost-sensitive learning with conditional Markov networks (PS, LG), pp. 801–808.
ICMLICML-2006-SuZ #classification
Full Bayesian network classifiers (JS, HZ), pp. 897–904.
ICPRICPR-v1-2006-CantoniLL #challenge #data mining #distributed #mining
Challenges for Data Mining in Distributed Sensor Networks (VC, LL, PL), pp. 1000–1007.
ICPRICPR-v1-2006-DuCXL #interactive #process #using
Recognizing Interaction Activities using Dynamic Bayesian Network (YD, FC, WX, YL), pp. 618–621.
ICPRICPR-v1-2006-ZhouH #visual notation
Weighted Bayesian Network for Visual Tracking (YZ, TSH), pp. 523–526.
ICPRICPR-v2-2006-GonzalezSRP #image #retrieval
Wavelet transforms and neural networks applied to image retrieval (ACG, JHSA, EMFR, OBP), pp. 909–912.
ICPRICPR-v2-2006-GranaCPS #detection
Line Detection and Texture Characterization of Network Patterns (CG, RC, GP, SS), pp. 275–278.
ICPRICPR-v2-2006-LernerM #classification #image #learning
Learning Bayesian Networks for Cytogenetic Image Classification (BL, RM), pp. 772–775.
ICPRICPR-v2-2006-NandedkarB #classification #fuzzy
A Reflex Fuzzy Min Max Neural Network for Granular Data Classification (AVN, PKB), pp. 650–653.
ICPRICPR-v2-2006-RobertsMHVB #estimation #multi
Part-Based Multi-Frame Registration for Estimation of the Growth Of Cellular Networks in Plant Roots (TJR, SJM, JH, TAV, AGB), pp. 378–381.
ICPRICPR-v3-2006-BaigBK #distributed #pattern matching #pattern recognition #recognition
A Pattern Recognition Scheme for Distributed Denial of Service (DDoS) Attacks in Wireless Sensor Networks (ZAB, MB, AIK), pp. 1050–1054.
ICPRICPR-v3-2006-BianchiniMS #locality #recursion #using
Object Localization Using Input/Output Recursive Neural Networks (MB, MM, LS), pp. 95–98.
ICPRICPR-v3-2006-ChenHWJF #detection
The Application of a Convolution Neural Network on Face and License Plate Detection (YNC, CCH, CTW, BSJ, KCF), pp. 552–555.
ICPRICPR-v3-2006-MatosC #classification
Combining global and local classifiers with Bayesian network (LNM, JMdC), pp. 1212–1215.
ICPRICPR-v3-2006-NieuwenhuisY #image #knowledge base #using
Knowledge Based Image Enhancement Using Neural Networks (CN, MY), pp. 814–817.
ICPRICPR-v3-2006-PalenichkaZ #image #using
Perceptual Knowledge Extraction Using Bayesian Networks of Salient Image Objects (RMP, MBZ), pp. 1216–1219.
ICPRICPR-v3-2006-Xu #approach #artificial reality #gesture #recognition
A Neural Network Approach for Hand Gesture Recognition in Virtual Reality Driving Training System of SPG (DX), pp. 519–522.
ICPRICPR-v4-2006-AlbuLCOHZPBMDDMJTGL #monitoring #named
MONNET: Monitoring Pedestrians with a Network of Loosely-Coupled Cameras (ABA, DL, SC, DO, PH, AZ, MP, RB, XM, RD, SD, NMB, FJ, HT, LG, FL), pp. 924–928.
ICPRICPR-v4-2006-LinO #recognition #speech
Switching Auxiliary Chains for Speech Recognition based on Dynamic Bayesian Networks (HL, ZO), pp. 258–261.
ICPRICPR-v4-2006-MatosC06a #classification
Combining global and local classifiers with Bayesian network (LNM, JMdC), p. 952.
ICPRICPR-v4-2006-NiuG #using
Recovering Non-overlapping Network Topology Using Far-field Vehicle Tracking Data (CN, EG), pp. 944–949.
ICPRICPR-v4-2006-PalenichkaZ06a #image #using
Perceptual Knowledge Extraction Using Bayesian Networks of Salient Image Objects (RMP, MBZ), p. 953.
ICPRICPR-v4-2006-TiviveB #classification #gender
A Shunting Inhibitory Convolutional Neural Network for Gender Classification (FHCT, AB), pp. 421–424.
ICPRICPR-v4-2006-ZhangMH #feature model #multi
Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network (ZZ, SM, XH), pp. 145–148.
ICPRICPR-v4-2006-ZhengLL #learning
Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network (YZ, SL, ZL), pp. 639–642.
KDDKDD-2006-BackstromHKL #evolution #scalability #social
Group formation in large social networks: membership, growth, and evolution (LB, DPH, JMK, XL), pp. 44–54.
KDDKDD-2006-Berger-WolfS #analysis #framework #social
A framework for analysis of dynamic social networks (TYBW, JS), pp. 523–528.
KDDKDD-2006-ChenHLN #interactive #named
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs (JC, WH, MLL, SKN), pp. 106–115.
KDDKDD-2006-KorenNV #proximity
Measuring and extracting proximity in networks (YK, SCN, CV), pp. 245–255.
KDDKDD-2006-KumarNT #evolution #online #social
Structure and evolution of online social networks (RK, JN, AT), pp. 611–617.
KDDKDD-2006-RattiganMJ #approximate #performance #using
Using structure indices for efficient approximation of network properties (MJR, MEM, DJ), pp. 357–366.
KDDKDD-2006-Stankovic #self
Self-Organizing wireless sensor networks in action (JAS), p. 1.
SIGIRSIGIR-2006-Kleinberg #social
Social networks, incentives, and search (JMK), pp. 210–211.
SIGIRSIGIR-2006-LuC #modelling #peer-to-peer
User modeling for full-text federated search in peer-to-peer networks (JL, JPC), pp. 332–339.
MODELSMoDELS-2006-BertolinoBAS #estimation #modelling #performance
Modeling and Early Performance Estimation for Network Processor Applications (AB, AB, GDA, ALSV), pp. 753–767.
MODELSMoDELS-2006-BertolinoBAS #estimation #modelling #performance
Modeling and Early Performance Estimation for Network Processor Applications (AB, AB, GDA, ALSV), pp. 753–767.
ECOOPECOOP-2006-Abiteboul #database #xml
Turning the Network into a Database with Active XML (SA), pp. 203–205.
POPLPOPL-2006-ChenLK
Compiler-directed channel allocation for saving power in on-chip networks (GC, FL, MTK), pp. 194–205.
POPLPOPL-2006-CohenDEPPP #realtime
N-synchronous Kahn networks: a relaxed model of synchrony for real-time systems (AC, MD, CE, CP, FP, MP), pp. 180–193.
SACSAC-2006-AhmedKL #algorithm #design #implementation
Design and implementation of a context-aware decision algorithm for heterogeneous networks (TA, KK, ML), pp. 1134–1138.
SACSAC-2006-AlmeidaG #algorithm #database #incremental #nearest neighbour #using
Using Dijkstra’s algorithm to incrementally find the k-Nearest Neighbors in spatial network databases (VTdA, RHG), pp. 58–62.
SACSAC-2006-BonnetEV #ad hoc #mobile #using
Quiescent consensus in mobile ad-hoc networks using eventually storage-free broadcasts (FB, PDE, EV), pp. 670–674.
SACSAC-2006-ItoOMK #adaptation #peer-to-peer #reliability #retrieval
An adaptive index allocation scheme for reliable data retrieval and provision in peer-to-peer networks (AI, TO, KM, YK), pp. 697–704.
SACSAC-2006-LeeYKKK #ad hoc #distributed #mobile
Distributed IPv6 addressing technique for mobile ad-hoc networks (DL, JY, HK, KK, KK), pp. 1156–1160.
SACSAC-2006-LinsR #image
Comparisons of file formats for image transmission through networks (RDL, CR), pp. 863–864.
SACSAC-2006-MaC #algorithm #array #data mining #mining #novel
A novel data mining algorithm for reconstructing gene regulatory networks from microarray data (PCHM, KCCC), pp. 202–203.
SACSAC-2006-MussigmannA #rating
Supplier network management: evaluating and rating of strategic supply networks (NM, AA), pp. 1511–1515.
SACSAC-2006-PanAHSY #named
FCAN: Flash Crowds Alleviation Network (CP, MA, MBH, TS, NY), pp. 759–765.
SACSAC-2006-PisupatiB #file system #framework
File system framework for organizing sensor networks (BP, GB), pp. 935–936.
SACSAC-2006-PuppinS #java #social
The social network of Java classes (DP, FS), pp. 1409–1413.
SACSAC-2006-WuH #interactive #mining
Mining and analyzing the topological structure of protein-protein interaction networks (DDW, XH), pp. 185–189.
ASPLOSASPLOS-2006-BinkertSR #interface
Integrated network interfaces for high-bandwidth TCP/IP (NLB, AGS, SKR), pp. 315–324.
CASECASE-2006-LiZYC #algorithm #analysis #locality #novel
A Novel Algorithm for Node Localization and Motion Analysis in Wireless Sensor Networks (SL, DZ, ZY, NC), pp. 574–579.
CASECASE-2006-SchiffG #automation #using
Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
CASECASE-2006-TanonkouBX #design #random
Distribution network design with random demand and unreliable suppliers (GAT, LB, XX), pp. 15–20.
CASECASE-2006-WuD #analysis #multi #performance
Performance analysis of complex supply chain networks with multi-product (YW, MD), pp. 630–635.
CASECASE-2006-WuN #constraints #evaluation #reliability
Evaluation of the Reliability of Emergency Networks under Time Constraints (WwW, XxN), pp. 259–263.
CASECASE-2006-ZhouYZJDP #design #fault
Design of Dynamic Systems Based on Dynamic Fault Trees and Neural Networks (ZZ, ZY, JZ, GJ, DD, ZP), pp. 124–128.
DACDAC-2006-HuLHL
Steiner network construction for timing critical nets (SH, QL, JH, PL), pp. 379–384.
DACDAC-2006-KansalHSR #power management
Harvesting aware power management for sensor networks (AK, JH, MBS, VR), pp. 651–656.
DACDAC-2006-LiS #linear #order #reduction
Model order reduction of linear networks with massive ports via frequency-dependent port packing (PL, WS), pp. 267–272.
DACDAC-2006-LiZJ #concurrent #named #proximity
DyXY: a proximity congestion-aware deadlock-free dynamic routing method for network on chip (ML, QAZ, WBJ), pp. 849–852.
DACDAC-2006-MuraliABM #delivery #fault tolerance #multi
A multi-path routing strategy with guaranteed in-order packet delivery and fault-tolerance for networks on chip (SM, DA, LB, GDM), pp. 845–848.
DACDAC-2006-OzturkCK #approach #constraints #optimisation #parallel
Optimizing code parallelization through a constraint network based approach (ÖÖ, GC, MTK), pp. 863–688.
DACDAC-2006-WangLLYHWH #design #framework #platform #security
A network security processor design based on an integrated SOC design and test platform (CHW, CYL, MSL, JCY, CTH, CWW, SYH), pp. 490–495.
DATEDATE-2006-BartzasMPACST #data type #design #energy #refinement
Dynamic data type refinement methodology for systematic performance-energy design exploration of network applications (AB, SM, GP, DA, FC, DS, AT), pp. 740–745.
DATEDATE-2006-BernasconiCDV #performance
Efficient minimization of fully testable 2-SPP networks (AB, VC, RD, TV), pp. 1300–1305.
DATEDATE-2006-BoniventoCS #design #industrial #platform
Platform-based design of wireless sensor networks for industrial applications (AB, LPC, ALSV), pp. 1103–1107.
DATEDATE-2006-BonnetLM #framework #monitoring #named #towards
Hogthrob: towards a sensor network infrastructure for sow monitoring (wireless sensor network special day) (PB, ML, KM), p. 1109.
DATEDATE-2006-BudnikR #distributed #novel #power management #using
Minimizing ohmic loss and supply voltage variation using a novel distributed power supply network (MMB, KR), pp. 1116–1121.
DATEDATE-2006-HandziskiKWW
An environment for controlled experiments with in-house sensor networks (VH, AK, AW, AW), p. 1108.
DATEDATE-2006-Havinga
Wireless sensor networks and beyond (PJMH), p. 970.
DATEDATE-2006-MarculescuRS #design #idea #question
Is “Network” the next “Big Idea” in design? (RM, JMR, ALSV), pp. 254–256.
DATEDATE-2006-MuraliCRGM #multi
A methodology for mapping multiple use-cases onto networks on chips (SM, MC, AR, KG, GDM), pp. 118–123.
DATEDATE-2006-ScharwachterHLAM #hardware #interprocedural #multi #optimisation #thread #using
An interprocedural code optimization technique for network processors using hardware multi-threading support (HS, MH, RL, GA, HM), pp. 919–924.
DATEDATE-2006-Weber #communication
Management of complex automotive communication networks (TW), pp. 554–555.
DATEDATE-DF-2006-BononiC #2d #analysis #architecture #simulation
Simulation and analysis of network on chip architectures: ring, spidergon and 2D mesh (LB, NC), pp. 154–159.
DATEDATE-DF-2006-CampobelloCCM
GALS networks on chip: a new solution for asynchronous delay-insensitive links (GC, MC, CC, DM), pp. 160–165.
DATEDATE-DF-2006-FummiQRT #mobile #modelling #simulation
Modeling and simulation of mobile gateways interacting with wireless sensor networks (FF, DQ, FR, MT), pp. 106–111.
DATEDATE-DF-2006-RichterE #challenge #how #integration
How OEMs and suppliers can face the network integration challenges (KR, RE), pp. 183–188.
DATEDATE-DF-2006-SteenhofDNGL #architecture
Networks on chips for high-end consumer-electronics TV system architectures (FS, HD, BN, KG, RPL), pp. 148–153.
HPCAHPCA-2006-Recio #evolution #industrial
Industrial Perspectives: System IO Network Evolution — Closing Requirement Gaps (RR), p. 201.
HPDCHPDC-2006-BrunetAN #optimisation
Short Paper : Dynamic Optimization of Communications over High Speed Networks (EB, OA, RN), pp. 345–346.
HPDCHPDC-2006-CaiKS #data type #named #performance #predict
IQ-Paths: Predictably High Performance Data Streams across Dynamic Network Overlays (ZC, VK, KS), pp. 18–29.
HPDCHPDC-2006-GangulyABF #named #self
WOW: Self-Organizing Wide Area Overlay Networks of Virtual Workstations (AG, AA, POB, RJOF), pp. 30–42.
HPDCHPDC-2006-MerrerKM #case study #comparative #estimation #scalability
Peer to peer size estimation in large and dynamic networks: A comparative study (ELM, AMK, LM), pp. 7–17.
HPDCHPDC-2006-NiH #adaptation #implementation #interface #message passing #peer-to-peer
An Implementation of the Message Passing Interface over an Adaptive Peer-to-Peer Network (LN, AH), pp. 371–372.
LCTESLCTES-2006-ZhuangP #analysis #compilation #concurrent #effectiveness #thread
Effective thread management on network processors with compiler analysis (XZ, SP), pp. 72–82.
OSDIOSDI-2006-EeFKMTCSS #composition
A Modular Network Layer for Sensornets (CTE, RF, SK, DM, AT, DEC, SS, IS), pp. 249–262.
OSDIOSDI-2006-KimR #interface #policy
Connection Handoff Policies for TCP Offload Network Interfaces (HyK, SR), pp. 293–306.
OSDIOSDI-2006-Werner-AllenLJLW #monitoring
Fidelity and Yield in a Volcano Monitoring Sensor Network (GWA, KL, JJ, JL, MW), pp. 381–396.
PDPPDP-2006-AlbrechtFKM #architecture #configuration management #named
DynaCORE — A Dynamically Reconfigurable Coprocessor Architecture for Network Processors (CA, JF, RK, EM), pp. 101–108.
PDPPDP-2006-CamineroCC #algorithm #lightweight #multi
A New Lightweight CAC Algorithm for High-Performance Multimedia Networks (ACC, BC, CC), pp. 465–472.
PDPPDP-2006-GhafoorYDM06a #calculus #collaboration
Operability of p-calculus Technology in P2P Collaboration Business Network (AGM, JY, JD, MMuR), pp. 239–247.
PDPPDP-2006-HuangJC #ad hoc #approach #distributed
A Distributed Approach to Construction of Topology Mismatching Aware P2P Overlays in Wireless Ad Hoc Networks (YH, BJ, JC), pp. 340–347.
PDPPDP-2006-IzuMG #injection #throughput
Effects of Injection Pressure on Network Throughput (CI, JMA, JAG), pp. 91–98.
PDPPDP-2006-LinckMBDS #estimation #quality #streaming #video
Video Quality Estimation of DCCP Streaming over Wireless Networks (SL, EM, JB, ED, FS), pp. 405–412.
PDPPDP-2006-MarzollaO #peer-to-peer #performance #query
Tree Vector Indexes: Efficient Range Queries for Dynamic Content on Peer-to-Peer Networks (MM, MM, SO), pp. 457–464.
PDPPDP-2006-SouzaRYLC #distributed #on the #on-demand
On the Relevance of Network Topologies in Distributed Video-on-Demand Servers (LS, AR, XY, EL, FC), pp. 396–404.
PDPPDP-2006-WuCYR #ad hoc #mobile #protocol
A Hierarchical Consensus Protocol for Mobile Ad Hoc Networks (WW, JC, JY, MR), pp. 64–72.
PPoPPPPoPP-2006-HuTH #algorithm #manycore #parallel #thread
High-performance IPv6 forwarding algorithm for multi-core and multithreaded network processor (XH, XT, BH), pp. 168–177.
FATESFATES-RV-2006-FalconeFMR #calculus #framework #policy #security
A Test Calculus Framework Applied to Network Security Policies (YF, JCF, LM, JLR), pp. 55–69.
ICLPICLP-2006-GrellSS #biology #modelling #programming #set
Modelling Biological Networks by Action Languages Via Answer Set Programming (SG, TS, JS), pp. 285–299.
IJCARIJCAR-2006-GrinchteinLP #automation #invariant
Inferring Network Invariants Automatically (OG, ML, NP), pp. 483–497.
MBTMBT-2006-DjouvasGL #self #testing
Testing Self-Similar Networks (CD, NDG, NAL), pp. 67–82.
ICTSSTestCom-2006-BenharrefDGS #generative #testing #towards #web #web service
Towards the Testing of Composed Web Services in 3rd Generation Networks (AB, RD, RHG, MAS), pp. 118–133.
ICTSSTestCom-2006-DarmaillacqFGMR #generative #security #testing
Test Generation for Network Security Rules (VD, JCF, RG, LM, JLR), pp. 341–356.
WICSAWICSA-2005-TangJHN #architecture #design #impact analysis #predict
Predicting Change Impact in Architecture Design with Bayesian Belief Networks (AT, YJ, JH, AEN), pp. 67–76.
DRRDRR-2005-NamaneAGSMB #recognition
Sequential neural network combination for degraded machine-printed character recognition (AN, MA, AG, EHS, PM, MB), pp. 101–110.
ICDARICDAR-2005-CecottiB #adaptation #recognition
Rejection strategy for Convolutional Neural Network by adaptive topology applied to handwritten digits recognition (HC, AB), pp. 765–769.
ICDARICDAR-2005-HtweHLY #online #using
Transliteration of Online Handwritten Phonetic Pitman’s Shorthand with the Use of a Bayesian Network (SMH, CH, GL, MY), pp. 1090–1094.
ICDARICDAR-2005-ZhuN #online #recognition #segmentation
Segmentation of On-line Handwritten Japanese Text of Arbitrary Line Direction by a Neural Network for Improving Text Recognition (BZ, MN), pp. 157–161.
SIGMODSIGMOD-2005-ManjhiNG #performance #robust
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams (AM, SN, PBG), pp. 287–298.
VLDBVLDB-2005-AbadiML #detection #named #performance #robust
REED: Robust, Efficient Filtering and Event Detection in Sensor Networks (DJA, SM, WL), pp. 769–780.
VLDBVLDB-2005-AbererC #semantics
Semantic Overlay Networks (KA, PCM), p. 1367.
VLDBVLDB-2005-AbererDHS
Indexing Data-oriented Overlay Networks (KA, AD, MH, RS), pp. 685–696.
VLDBVLDB-2005-ChoC #approach #performance #query #scalability
An Efficient and Scalable Approach to CNN Queries in a Road Network (HJC, CWC), pp. 865–876.
VLDBVLDB-2005-JagadishOV #named #peer-to-peer
BATON: A Balanced Tree Structure for Peer-to-Peer Networks (HVJ, BCO, QHV), pp. 661–672.
VLDBVLDB-2005-MetwallyAA #detection #using #web
Using Association Rules for Fraud Detection in Web Advertising Networks (AM, DA, AEA), pp. 169–180.
VLDBVLDB-2005-ShahRR
Client Assignment in Content Dissemination Networks for Dynamic Data (SS, KR, CVR), pp. 673–684.
VLDBVLDB-2005-ZadorozhnyGRY #adaptation #distributed #framework #named
AReNA: Adaptive Distributed Catalog Infrastructure Based On Relevance Networks (VZ, AG, LR, QY), pp. 1287–1290.
ITiCSEITiCSE-2005-CasadoWM #education #hardware
Teaching networking hardware (MC, GW, NM), pp. 208–212.
ITiCSEITiCSE-2005-CrescenziGI #ide #protocol #visualisation
NetPrIDE an integrated environment for developing and visualizing computer network protocols (PC, GG, GI), pp. 306–310.
ITiCSEITiCSE-2005-PisaFJC #research
BRaiN research network (RP, VF, EJ, BC), p. 400.
SIGITESIGITE-2005-Bailey #using
Malware resistant networking using system diversity (MGB), pp. 191–197.
SIGITESIGITE-2005-Hill #safety
Equipment safety in the wireless networking laboratory environment (LWH), pp. 83–87.
SIGITESIGITE-2005-Lutz #framework #named #object-oriented #programming #research #student
NetDev: an object-oriented framework enabling network programming for students and researchers (PHL), pp. 113–119.
SIGITESIGITE-2005-Matthews #approach #education #using
Hands-on approach to teaching computer networking using packet traces (JNM), pp. 361–367.
ICSMEICSM-IT-2005-Pacione #abstraction #analysis #named #visualisation
VANESSA: Visualisation Abstraction NEtwork for Software Systems Analysis (MJP), pp. 85–88.
MSRMSR-2005-OhiraOOM #collaboration #social #using
Accelerating cross-project knowledge collaboration using collaborative filtering and social networks (MO, NO, TO, KiM), pp. 71–75.
ICALPICALP-2005-Ambuhl #algorithm #bound #energy #performance
An Optimal Bound for the MST Algorithm to Compute Energy Efficient Broadcast Trees in Wireless Networks (CA), pp. 1139–1150.
ICALPICALP-2005-ChlebusGKR #on the #problem
On the Wake-Up Problem in Radio Networks (BSC, LG, DRK, TR), pp. 347–359.
ICALPICALP-2005-EisenbrandGOS #design
New Approaches for Virtual Private Network Design (FE, FG, GO, MS), pp. 1151–1162.
ICALPICALP-2005-KempeKT #social
Influential Nodes in a Diffusion Model for Social Networks (DK, JMK, ÉT), pp. 1127–1138.
FMFM-2005-Zave #formal method
A Formal Model of Addressing for Interoperating Networks (PZ), pp. 318–333.
IFMIFM-2005-KristensenWN #ad hoc #mobile #modelling #protocol #prototype
Model-Based Prototyping of an Interoperability Protocol for Mobile Ad-Hoc Networks (LMK, MW, PCN), pp. 266–286.
SFMSFM-2005-GerlaCLZCYD #ad hoc
Dealing with Node Mobility in Ad Hoc Wireless Network (MG, LJC, YZL, BZ, JC, GY, SD), pp. 69–106.
SFMSFM-2005-LattanziAB
Network Swapping (EL, AA, AB), pp. 215–233.
CoGCIG-2005-Lucas #evolution #game studies
Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man (SML).
CoGCIG-2005-LuthiGT #evolution
Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners (LL, MG, MT).
ICEISICEIS-v1-2005-KarydisNPM #distance #retrieval
Musical Retrieval in P2P Networks under the Warping Distance (IK, AN, ANP, YM), pp. 100–107.
ICEISICEIS-v2-2005-ColaceSVF #algorithm #approach #learning #multi
A Bayesian Networks Structural Learning Algorithm Based on a Multiexpert Approach (FC, MDS, MV, PF), pp. 194–200.
ICEISICEIS-v2-2005-CuellarDJ #predict #problem #programming
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems (MPC, MD, MdCPJ), pp. 35–42.
ICEISICEIS-v2-2005-HuangK #online #recognition
A Recurrent Neural Network Recogniser for Online Recognition of Handwritten Symbols (BQH, MTK), pp. 27–34.
ICEISICEIS-v2-2005-KianmehrZNOA #approach #data mining #mining
Combining Neural Network and Support Vector Machine into Integrated Approach for Biodata Mining (KK, HZ, KN, , RA), pp. 182–187.
ICEISICEIS-v3-2005-SeehusenS #specification #visual notation
Graphical Specification of Dynamic Network Structure (FS, KS), pp. 203–210.
ICEISICEIS-v4-2005-YiZZ #ad hoc #architecture #detection #mobile #using
An Architecture for Intrusion Detection and Active Response Using Autonomous Agents in Mobile Ad Hoc Networks (PY, SZ, YZ), pp. 220–226.
CIKMCIKM-2005-AekaterinidisT #internet #string
Internet scale string attribute publish/subscribe data networks (IA, PT), pp. 44–51.
CIKMCIKM-2005-ComanNS #energy #performance #query
Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries (AC, MAN, JS), pp. 187–194.
CIKMCIKM-2005-LianCNOA #locality #query
Localized routing trees for query processing in sensor networks (JL, LC, KN, MTÖ, GBA), pp. 259–260.
CIKMCIKM-2005-MekaS #distributed #named
DIST: a distributed spatio-temporal index structure for sensor networks (AM, AKS), pp. 139–146.
CIKMCIKM-2005-MullerEH #retrieval #scalability #summary
Scalable summary based retrieval in P2P networks (WM, ME, AH), pp. 586–593.
CIKMCIKM-2005-XiongLZ #clustering #parallel
Supporting ranked search in parallel search cluster networks (FX, QL, DJZ), pp. 263–264.
CIKMCIKM-2005-YangH #ad hoc
Cooperative caching for k-NN search in ad hoc networks (BY, ARH), pp. 333–334.
ECIRECIR-2005-CachedaCPO #analysis #architecture #distributed #information retrieval
Network Analysis for Distributed Information Retrieval Architectures (FC, VC, VP, IO), pp. 527–529.
ECIRECIR-2005-LuC #library #peer-to-peer
Federated Search of Text-Based Digital Libraries in Hierarchical Peer-to-Peer Networks (JL, JC), pp. 52–66.
ICMLICML-2005-BurgeL #learning
Learning class-discriminative dynamic Bayesian networks (JB, TL), pp. 97–104.
ICMLICML-2005-CarneyCDL #predict #probability #using
Predicting probability distributions for surf height using an ensemble of mixture density networks (MC, PC, JD, CL), pp. 113–120.
ICMLICML-2005-JingPR #classification #learning #naive bayes #performance
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes (YJ, VP, JMR), pp. 369–376.
ICMLICML-2005-KokD #learning #logic #markov
Learning the structure of Markov logic networks (SK, PMD), pp. 441–448.
ICMLICML-2005-PernkopfB #classification #generative #learning #parametricity
Discriminative versus generative parameter and structure learning of Bayesian network classifiers (FP, JAB), pp. 657–664.
ICMLICML-2005-TannerS
TD(λ) networks: temporal-difference networks with eligibility traces (BT, RSS), pp. 888–895.
KDDKDD-2005-Barabasi #architecture #complexity #web
The architecture of complexity: the structure and the dynamics of networks, from the web to the cell (ALB), p. 3.
KDDKDD-2005-ChenH #analysis #classification #image
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis (RC, EH), pp. 4–12.
KDDKDD-2005-FastJL #peer-to-peer #social
Creating social networks to improve peer-to-peer networking (ASF, DJ, BNL), pp. 568–573.
KDDKDD-2005-JaroszewiczS #performance
Fast discovery of unexpected patterns in data, relative to a Bayesian network (SJ, TS), pp. 118–127.
KDDKDD-2005-Raghavan
Incentive networks (PR), p. 1.
KDDKDD-2005-SpertusSB #metric #scalability #similarity #social
Evaluating similarity measures: a large-scale study in the orkut social network (ES, MS, OB), pp. 678–684.
KDDKDD-2005-YamanishiM #mining #monitoring
Dynamic syslog mining for network failure monitoring (KY, YM), pp. 499–508.
MLDMMLDM-2005-CaoHXW #algorithm #recognition
Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network (WC, JH, GX, SW), pp. 305–313.
MLDMMLDM-2005-GhoshGYB #algorithm #analysis #comparative #search-based
Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks (RG, MG, JY, AMB), pp. 62–70.
MLDMMLDM-2005-GiacintoPR #clustering #detection
Alarm Clustering for Intrusion Detection Systems in Computer Networks (GG, RP, FR), pp. 184–193.
SEKESEKE-2005-AdorniMTL #architecture
Network Services via Reflective Architecture (MA, DM, FT, PL), pp. 761–766.
SEKESEKE-2005-JiA
Spontaneous Agent Networking (ZJ, MA), pp. 57–61.
SEKESEKE-2005-LienT #recommendation #web
A Web Pages Recommender with Bayesian Networks (CCL, HLT), pp. 82–87.
SEKESEKE-2005-TynanRO #development #multi
A Methodology for the Development of Multi-Agent Systems on Wireless Sensor Networks (RT, AGR, GMPO), pp. 68–75.
SIGIRSIGIR-2005-ChakrabartiMN #named
SPIN: searching personal information networks (SC, JM, AN), p. 674.
SIGIRSIGIR-2005-TryfonopoulosIK #information retrieval #using
Publish/subscribe functionality in IR environments using structured overlay networks (CT, SI, MK), pp. 322–329.
PLDIPLDI-2005-ChenLLLLLJ #named #performance #programming
Shangri-La: achieving high performance from compiled network applications while enabling ease of programming (MKC, XFL, RL, JHL, LL, TL, RJ), pp. 224–236.
PLDIPLDI-2005-NiKSI #ad hoc #mobile #programming
Programming ad-hoc networks of mobile and resource-constrained devices (YN, UK, AS, LI), pp. 249–260.
PPDPPPDP-2005-Mitchell #analysis #logic #protocol #security
Security analysis of network protocols: logical and computational methods (JCM), pp. 151–152.
SACSAC-2005-AnshulR #identification
A ZKP-based identification scheme for base nodes in wireless sensor networks (DA, SR), pp. 319–323.
SACSAC-2005-BarrettEKMS #ad hoc #multi #probability #protocol
Probabilistic multi-path vs. deterministic single-path protocols for dynamic ad-hoc network scenarios (CLB, SE, LK, MVM, JPS), pp. 1166–1173.
SACSAC-2005-BoninoCP #automation #concept #learning
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks (DB, FC, FP), pp. 1639–1644.
SACSAC-2005-Casale #analysis #mining #performance #web
Combining queueing networks and web usage mining techniques for web performance analysis (GC), pp. 1699–1703.
SACSAC-2005-DelicatoPRPR #middleware
Reflective middleware for wireless sensor networks (FCD, PFP, LFRdCC, LP, JFdR), pp. 1155–1159.
SACSAC-2005-DuanHW #detection
Enhancing network intrusion detection systems with interval methods (QD, CH, HCW), pp. 1444–1448.
SACSAC-2005-FaederBH #representation #rule-based #visual notation
Graphical rule-based representation of signal-transduction networks (JRF, MLB, WSH), pp. 133–140.
SACSAC-2005-FarahabadyS #multi #recursion
The recursive transpose-connected cycles (RTCC) interconnection network for multiprocessors (MHF, HSA), pp. 734–738.
SACSAC-2005-GoualardG #constraints
Controlled propagation in continuous numerical constraint networks (FG, LG), pp. 377–382.
SACSAC-2005-Hara #ad hoc #mobile
Location management of data items in mobile ad hoc networks (TH), pp. 1174–1175.
SACSAC-2005-JafariDCS #performance
Efficient placement and routing in grid-based networks (RJ, FD, BKC, MS), pp. 899–900.
SACSAC-2005-KanzakiHN #ad hoc #adaptation #protocol
An adaptive TDMA slot assignment protocol in ad hoc sensor networks (AK, TH, SN), pp. 1160–1165.
SACSAC-2005-Moloney #distributed #pervasive #recommendation #simulation
Simulation of a distributed recommendation system for pervasive networks (SM), pp. 1577–1581.
SACSAC-2005-MonemizadehS #multi #scalability
The necklace-hypercube: a well scalable hypercube-based interconnection network for multiprocessors (MM, HSA), pp. 729–733.
SACSAC-2005-NeisseAGT #policy
Policies translation for integrated management of grids and networks (RN, MJBA, LZG, LMRT), pp. 724–729.
SACSAC-2005-OcaGA #algorithm #classification #clustering
An hybridization of an ant-based clustering algorithm with growing neural gas networks for classification tasks (MAMdO, LG, JLA), pp. 9–13.
SACSAC-2005-RenJ #adaptation #distributed #forensics #realtime
Honeynet based distributed adaptive network forensics and active real time investigation (WR, HJ), pp. 302–303.
SACSAC-2005-SpohnG #problem #set #using
A solution for the location problem in arbitrary computer networks using generic dominating sets (MAS, JJGLA), pp. 739–743.
SACSAC-2005-StaakeTF #anti
Extending the EPC network: the potential of RFID in anti-counterfeiting (TS, FT, EF), pp. 1607–1612.
SACSAC-2005-ToKS #exclamation #mobile
Mobile agents for network management: when and when not! (HHT, SK, BS), pp. 47–53.
SACSAC-2005-WengW #parallel #profiling
Profiling and mapping of parallel workloads on network processors (NW, TW), pp. 890–896.
SACSAC-2005-YoonYMWD #3d #interactive #visualisation
Interactive 3D visualization of highly connected ecological networks on the WWW (IY, SY, NDM, RJW, JAD), pp. 1207–1212.
SACSAC-2005-ZhengZOMF #clustering
Node clustering based on link delay in P2P networks (WZ, SZ, YO, FM, JF), pp. 744–749.
CASECASE-2005-AbdelhameedD #debugging #logic #programmable #source code
Diagnosis and debugging of programmable logic controller control programs by neural networks (MMA, HD), pp. 313–318.
CASECASE-2005-ChangLJ #detection #fault #using
Using a two-layer competitive Hopfield neural network for semiconductor wafer defect detection (CYC, SYL, MJ), pp. 301–306.
CCCC-2005-EnnalsSM #clustering #manycore
Task Partitioning for Multi-core Network Processors (RE, RS, AM), pp. 76–90.
DACDAC-2005-Balderas-ContrerasC #encryption #performance
High performance encryption cores for 3G networks (TBC, RC), pp. 240–243.
DACDAC-2005-ChoM #pattern matching #security
A pattern matching coprocessor for network security (YHC, WHMS), pp. 234–239.
DACDAC-2005-GilbertCS
MIMO technology for advanced wireless local area networks (JMG, WJC, QS), pp. 413–415.
DACDAC-2005-KrenikB
Cognitive radio techniques for wide area networks (WK, AB), pp. 409–412.
DACDAC-2005-LuoYYB #design #power management #using
Low power network processor design using clock gating (YL, JY, JY, LNB), pp. 712–715.
DACDAC-2005-LuSHZCHH #navigation
Navigating registers in placement for clock network minimization (YL, CCNS, XH, QZ, YC, LH, JH), pp. 176–181.
DATEDATE-2005-BougardCDCD #energy #modelling #performance #standard
Energy Efficiency of the IEEE 802.15.4 Standard in Dense Wireless Microsensor Networks: Modeling and Improvement Perspectives (BB, FC, DCD, AC, WD), pp. 196–201.
DATEDATE-2005-ChenKK #approach #constraints #layout #memory management #optimisation
A Constraint Network Based Approach to Memory Layout Optimization (GC, MTK, MK), pp. 1156–1161.
DATEDATE-2005-GhoshG #distributed #locality #named #protocol #scheduling
LORD: A Localized, Reactive and Distributed Protocol for Node Scheduling in Wireless Sensor Networks (AG, TG), pp. 190–195.
DATEDATE-2005-GoossensDGPRR #design #performance #verification
A Design Flow for Application-Specific Networks on Chip with Guaranteed Performance to Accelerate SOC Design and Verification (KG, JD, OPG, SGP, AR, ER), pp. 1182–1187.
DATEDATE-2005-MahadevanASOSM #generative #performance #simulation
A Network Traffic Generator Model for Fast Network-on-Chip Simulation (SM, FA, MS, RGO, JS, JM), pp. 780–785.
DATEDATE-2005-MannionHCV #programmable #synthesis
System Synthesis for Networks of Programmable Blocks (RM, HH, SC, FV), pp. 888–893.
DATEDATE-2005-MishchenkoB #optimisation #satisfiability
SAT-Based Complete Don’t-Care Computation for Network Optimization (AM, RKB), pp. 412–417.
DATEDATE-2005-PapaefstathiouOKKMN #queue
Queue Management in Network Processors (IP, TO, GK, CK, IM, AN), pp. 112–117.
DATEDATE-2005-RaiM #modelling
Lifetime Modeling of a Sensor Network (VR, RNM), pp. 202–203.
DATEDATE-2005-StergiouACRBM #abstract syntax tree #design #library #pipes and filters #synthesis
ast pipes Lite: A Synthesis Oriented Design Library For Networks on Chips (SS, FA, SC, LR, DB, GDM), pp. 1188–1193.
DATEDATE-2005-StreichertHT #clustering #configuration management #distributed #embedded
Distributed HW/SW-Partitioning for Embedded Reconfigurable Networks (TS, CH, JT), pp. 894–895.
DATEDATE-2005-TsaiVXI
Leakage-Aware Interconnect for On-Chip Network (YFT, NV, YX, MJI), pp. 230–231.
DATEDATE-2005-WangPM #energy
A Technology-Aware and Energy-Oriented Topology Exploration for On-Chip Networks (HW, LSP, SM), pp. 1238–1243.
DATEDATE-2005-WeberCSW
A Quality-of-Service Mechanism for Interconnection Networks in System-on-Chips (WDW, JC, IS, DW), pp. 1232–1237.
DATEDATE-2005-YuWCHYB #architecture #design
Assertion-Based Design Exploration of DVS in Network Processor Architectures (JY, WW, XC, HH, JY, FB), pp. 92–97.
HPCAHPCA-2005-DuatoJFNGF #effectiveness #multi #scalability
A New Scalable and Cost-Effective Congestion Management Strategy for Lossless Multistage Interconnection Networks (JD, IJ, JF, FN, PJG, TNF), pp. 108–119.
HPCAHPCA-2005-WillmannKRP #interface #performance #programmable
An Efficient Programmable 10 Gigabit Ethernet Network Interface Card (PW, HyK, SR, VSP), pp. 96–107.
HPDCHPDC-2005-AgrawalGBF #grid #towards #virtual machine
Towards P2P-routed IF overlay networks for grid virtual machines (AA, AG, POB, RJOF), pp. 293–294.
HPDCHPDC-2005-LangeSD #automation #runtime
Automatic dynamic run-time optical network reservations (JRL, AIS, PAD), pp. 255–264.
HPDCHPDC-2005-TsugawaMZSLFF #automation #deployment
In-VIGO virtual networks and virtual application services: automated grid-enabling and deployment of applications (MOT, AMM, LZ, VS, HL, RJOF, JABF), pp. 312–313.
PDPPDP-2005-CalafateMM #ad hoc #interactive #mobile #on the #protocol
On the Interaction Between IEEE 802.11e and Routing Protocols in Mobile Ad-Hoc Networks (CMTC, PM, MPM), pp. 110–117.
PDPPDP-2005-LujanMGF #framework #java #named
DIFOJO: A Java Fork/Join Framework for Heterogeneous Networks (ML, GM, JRG, TLF), pp. 297–304.
PDPPDP-2005-MartinezSACF #design #parametricity #performance
Studying the Effect of the Design Parameters on the Interconnection Network Performance in NOWs (RM, JLS, FJA, VC, JF), pp. 102–109.
PDPPDP-2005-Ojeda-GuerraAA #ad hoc #approach
A New Approach to Merge Partitions in an Ad Hoc Wireless Network Based on an Updating of DHCP (CNOG, VAH, IGAG), pp. 144–151.
PDPPDP-2005-VilladangosCFP #performance
Efficient Leader Election in Complete Networks (JEV, AC, FF, MP), pp. 136–143.
STOCSTOC-2005-CharikarK #design #multi #on the
On non-uniform multicommodity buy-at-bulk network design (MC, AK), pp. 176–182.
STOCSTOC-2005-CheriyanV #algorithm #approximate #design #metric
Approximation algorithms for network design with metric costs (JC, AV), pp. 167–175.
ICTSSTestCom-2005-LiL05a #algorithm #detection #fault #probability #testing
Fault Detection of Hierarchical Networks with Probabilistic Testing Algorithms (KL, DL), pp. 258–274.
ICTSSTestCom-2005-MillerCLH #nondeterminism #protocol #testing
Coping with Nondeterminism in Network Protocol Testing (REM, DC, DL, RH), pp. 129–145.
WICSAWICSA-2004-BashroushSKB #architecture #realtime
A Network Architectural Style for Real-time Systems: NaSr (RB, ITAS, PK, TJB), pp. 321–324.
HTHT-2004-LarsenB #named
HyperPeer: searching for resemblance in a P2P network (RDL, NOB), pp. 268–269.
PODSPODS-2004-GreenwaldK #statistics
Power-Conserving Computation of Order-Statistics over Sensor Networks (MG, SK), pp. 275–285.
SIGMODSIGMOD-2004-BawaGGM
The Price of Validity in Dynamic Networks (MB, AG, HGM, RM), pp. 515–526.
SIGMODSIGMOD-2004-CohenK #algorithm
Spatially-decaying aggregation over a network: model and algorithms (EC, HK), pp. 707–718.
SIGMODSIGMOD-2004-DeligiannakisKR
Compressing Historical Information in Sensor Networks (AD, YK, NR), pp. 527–538.
SIGMODSIGMOD-2004-IdreosKT #ad hoc #named #query
P2P-DIET: An Extensible P2P Service that Unifies Ad-hoc and Continuous Querying in Super-Peer Networks (SI, MK, CT), pp. 933–934.
SIGMODSIGMOD-2004-Mihic #web #web service
Building Dynamic Application Networks with Web Services (MM), p. 878.
SIGMODSIGMOD-2004-YiuM #clustering
Clustering Objects on a Spatial Network (MLY, NM), pp. 443–454.
VLDBVLDB-2004-AbadiLMS #data type #framework #integration
An Integration Framework for Sensor Networks and Data Stream Management Systems (DJA, WL, SM, JS), pp. 1361–1364.
VLDBVLDB-2004-DeshpandeGMHH #modelling
Model-Driven Data Acquisition in Sensor Networks (AD, CG, SM, JMH, WH), pp. 588–599.
VLDBVLDB-2004-KolahdouzanS #database #nearest neighbour
Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases (MRK, CS), pp. 840–851.
VLDBVLDB-2004-TajimaF #query #xpath
Answering XPath Queries over Networks by Sending Minimal Views (KT, YF), pp. 48–59.
ITiCSEITiCSE-2004-Chang #education
Teaching computer networking with the help of personal computer networks (RKCC), pp. 208–212.
ITiCSEITiCSE-2004-JippingKKL #programmable #using
Investigating wired and wireless networks using a java-based programmable sniffer (MJJ, AJK, NK, KL), pp. 12–16.
ITiCSEITiCSE-WGR-2004-Bogoyavlenskaya #education
Teaching networking congestion control (OYB), pp. 35–41.
SIGITESIGITE-2004-MasonJT #approach #collaboration #security
Network and systems security, a collaborative approach (SM, DJ, LT), p. 279.
SIGITESIGITE-2004-Morneau #design #security
Designing an information security program as a core competency of network technologists (KAM), pp. 29–32.
SIGITESIGITE-2004-RomneyS #education #multi #platform #security
An isolated, multi-platform network sandbox for teaching IT security system engineers (GWR, BRS), pp. 19–23.
SIGITESIGITE-2004-StockmanCSN #implementation
An implementation of a networking track in an information technology degree program (MS, CC, HS, JN), pp. 138–143.
SIGITESIGITE-2004-SwainS #design #development #object-oriented #programming #using
Design and development of computer networking modules using virtual instruments and object oriented programming (NS, MS), p. 270.
ICALPICALP-2004-AndrewsZ #capacity
Wavelength Assignment in Optical Networks with Fixed Fiber Capacity (MA, LZ), pp. 134–145.
ICALPICALP-2004-Fleischer #algorithm #bound #linear
Linear Tolls Suffice: New Bounds and Algorithms for Tolls in Single Source Networks (LF), pp. 544–554.
ICALPICALP-2004-GasieniecKPX #multi
Deterministic M2M Multicast in Radio Networks: (LG, EK, AP, QX), pp. 670–682.
ICALPICALP-2004-JothiR #algorithm #approximate #design #problem
Approximation Algorithms for the Capacitated Minimum Spanning Tree Problem and Its Variants in Network Design (RJ, BR), pp. 805–818.
ICALPICALP-2004-LebharS #distributed
Almost Optimal Decentralized Routing in Long-Range Contact Networks (EL, NS), pp. 894–905.
SEFMSEFM-2004-BertoliniFFO #analysis #automaton #generative #probability #testing #using
Test Case Generation Using Stochastic Automata Networks: Quantitative Analysis (CB, AGF, PF, FMO), pp. 251–260.
CSCWCSCW-2004-GoecksM #information management #social
Leveraging social networks for information sharing (JG, EDM), pp. 328–331.
CSCWCSCW-2004-GoodallLK #collaboration #detection
I know my network: collaboration and expertise in intrusion detection (JRG, WGL, AK), pp. 342–345.
CSCWCSCW-2004-HornFBMJ #analysis #evolution #research #social
Six degrees of jonathan grudin: a social network analysis of the evolution and impact of CSCW research (DBH, TAF, JPB, DM, SJ), pp. 582–591.
CSCWCSCW-2004-SaltzHT #graph #online #social #student #visualisation
Student social graphs: visualizing a student’s online social network (JSS, SRH, MT), pp. 596–599.
CSCWCSCW-2004-StefanoneHGI #social
Emergent networks, locus of control, and the pursuit of social capital (MS, JTH, GG, ARI), pp. 592–595.
ICEISICEIS-v2-2004-AnavattiYP #experience
An Experience with the Neural Network for Auto-Landing System of an Aircraft (SGA, CJY, FP), pp. 393–400.
ICEISICEIS-v2-2004-BendouM #graph #learning
Learning Bayesian Networks with Largest Chain Graphs (MB, PM), pp. 184–190.
ICEISICEIS-v2-2004-CamargoFPS #tool support
Neural Network and Time Series as Tools for Sales Forecasting (MC, WPF, MP, AS), pp. 476–478.
ICEISICEIS-v2-2004-ColaceSVF04a #algorithm #comparison #learning
Bayesian Network Structural Learning from Data: An Algorithms Comparison (FC, MDS, MV, PF), pp. 527–530.
ICEISICEIS-v2-2004-CuellarFJN #adaptation #predict
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness (MPC, WF, MdCPJ, RPP, MAN), pp. 457–460.
ICEISICEIS-v2-2004-CuellarNJP #algorithm #case study #comparative #predict
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness (MPC, AN, MdCPJ, RPP), pp. 461–464.
ICEISICEIS-v2-2004-Grzeszczyk
Application of Neural Networks for Prior Appraisal of Structural Funds Project Proposals (TAG), pp. 501–504.
ICEISICEIS-v2-2004-Kabiri #approximate #comparison #learning
A Comparison Between the Proportional Keen Approximator and the Neural Networks Learning Methods (PK), pp. 159–164.
ICEISICEIS-v2-2004-MoutinhoTNC #approach #detection #using
Face Pattern Detection — an Approach Using Neural Networks (AMM, ACGT, LBN, PHGC), pp. 172–177.
ICEISICEIS-v2-2004-NetoCVMM #estimation #using
Monthly Flow Estimation Using Elman Neural Networks (LBN, PHGC, MLFV, JCCBSdM, LAM), pp. 153–158.
ICEISICEIS-v2-2004-SalemSA #clustering #documentation
Unsupervised Artificial Neural Networks for Clustering of Document Collections (ABMS, MMS, AFA), pp. 383–392.
ICEISICEIS-v2-2004-SilvaCSGN #multi #using
Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks (ÁMS, PC, MFS, LG, JN), pp. 401–408.
ICEISICEIS-v2-2004-ZaratePSSVD #clustering #optimisation #representation #set
Optimization of Neural Network’s Training Sets via Clustering: Application in Solar Collector Representation (LEZ, EMDP, DAS, JPDS, RV, ASCD), pp. 147–152.
ICEISICEIS-v4-2004-Bredin
Strategic Negotiation of Bandwidth in Cooperative Networks (JB), pp. 230–235.
ICEISICEIS-v4-2004-Carneiro #challenge #learning #process
Learning Processes and the Role of Technological Networks as an Innovative Challenge (AC), pp. 497–501.
ICEISICEIS-v4-2004-EbaraGSYWM #communication
The Project of Virtual Laboratory for Informal Communication on Gigabit Network (YE, YG, TS, SY, KW, YM), pp. 176–181.
ICEISICEIS-v4-2004-EssmannHB #architecture #collaboration #component #mobile
A Network Component Architecture for Collaboration in Mobile Settings (BE, TH, TB), pp. 337–343.
ICEISICEIS-v4-2004-FinnieB #adaptation
Adaptive Agents for Supply Networks (GRF, JB), pp. 480–483.
ICEISICEIS-v4-2004-HelaakoskiKH #architecture
An Agent Architecture for Steel Product Business Network (HH, JK, HH), pp. 467–470.
ICEISICEIS-v4-2004-TingD #peer-to-peer #simulation
Peer-to-Peer Network Simulation (NST, RD), pp. 84–91.
CIKMCIKM-2004-Banaei-KashaniS #data access #named #peer-to-peer #product line
SWAM: a family of access methods for similarity-search in peer-to-peer data networks (FBK, CS), pp. 304–313.
CIKMCIKM-2004-RendaC #robust
The robustness of content-based search in hierarchical peer to peer networks (MER, JC), pp. 562–570.
CIKMCIKM-2004-Singhal #design #web #web service
Design of a data warehouse system for network/web services (AS), pp. 473–476.
ECIRECIR-2004-HeeschR #image #retrieval
NNk Networks for Content-Based Image Retrieval (DH, SMR), pp. 253–266.
ICMLICML-2004-GrossmanD #classification #learning
Learning Bayesian network classifiers by maximizing conditional likelihood (DG, PMD).
ICMLICML-2004-TaskarCK #learning #markov
Learning associative Markov networks (BT, VC, DK).
ICPRICPR-v1-2004-KhanM #parallel #pattern matching #pattern recognition #recognition
Parallel Pattern Recognition Computations within a Wireless Sensor Network (AIK, PM), pp. 777–780.
ICPRICPR-v1-2004-MicheletGBC #estimation #multi #recursion
Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network (FM, CG, PB, JPDC), pp. 712–715.
ICPRICPR-v1-2004-SinhaP
Synchronization and Calibration of Camera Networks from Silhouettes (SNS, MP), pp. 116–119.
ICPRICPR-v2-2004-JorgeMA #architecture #estimation #sequence #video
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences (PMJ, JSM, AJA), pp. 732–735.
ICPRICPR-v2-2004-KaneS #classification #image #learning
Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification (MJK, AES), pp. 479–482.
ICPRICPR-v2-2004-SebeCHG #approach #detection
Skin Detection: A Bayesian Network Approach (NS, IC, TSH, TG), pp. 903–906.
ICPRICPR-v2-2004-WangDZSLB #approach #multi #visual notation
A Dynamic Bayesian Network Approach to Multi-cue based Visual Tracking (TW, QD, YZ, GS, CL, GRB), pp. 167–170.
ICPRICPR-v3-2004-AdeodatoVASCM #case study #comparative #scalability #set
Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set (PJLA, GCV, ALA, RAFS, RCLVC, DSMPM), pp. 355–358.
ICPRICPR-v3-2004-GurwiczL #agile #estimation #kernel
Rapid Spline-based Kernel Density Estimation for Bayesian Networks (YG, BL), pp. 700–703.
ICPRICPR-v3-2004-IwahoriWKF #artificial reality #modelling
Neural Network Based Modeling and Color Rendering for Mixed Reality (YI, RJW, HK, KF), pp. 198–201.
ICPRICPR-v3-2004-UnsalanB #detection #image #multi
A System to Detect Houses and Residential Street Networks in Multispectral Satellite Images (, KLB), pp. 49–52.
ICPRICPR-v4-2004-ChenC04a #bidirectional #dependence #learning
Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies (JC, NSC), pp. 593–596.
ICPRICPR-v4-2004-DebiollesOA #using
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks (AD, LO, PA), pp. 573–576.
ICPRICPR-v4-2004-KuzmenkoZ #self
Structure Relaxation Method for Self-Organizing Neural Networks (AK, NZ), pp. 589–592.
ICPRICPR-v4-2004-LaiY #algorithm #fault #predict
Successive-Least-Squares Error Algorithm on Minimum Description Length Neural Networks for Time Series Prediction (YNL, SYY), pp. 609–612.
ICPRICPR-v4-2004-MacDormanCA #component #generative #segmentation
Periodic Nonlinear Principal Component Neural Networks for Humanoid Motion Segmentation, Generalization, and Generation (KFM, RC, MA), pp. 537–540.
ICPRICPR-v4-2004-MizukamiWT #approximate #architecture
A Proposal of Neural Network Architecture for Non-Linear Function Approximation (YM, YW, KT), pp. 605–608.
ICPRICPR-v4-2004-NandedkarB #architecture #classification #fuzzy
A Fuzzy Min-Max Neural Network Classifier with Compensatory Neuron Architecture (AVN, PKB), pp. 553–556.
ICPRICPR-v4-2004-OuMF #classification #multi #using
Multiclass Pattern Classification Using Neural Networks (GO, YLM, LAF), pp. 585–588.
KDDKDD-2004-AiroldiF
Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.
KDDKDD-2004-JaroszewiczS #using
Interestingness of frequent itemsets using Bayesian networks as background knowledge (SJ, DAS), pp. 178–186.
KDDKDD-2004-SmithE #framework
A Bayesian network framework for reject inference (ATS, CE), pp. 286–295.
KDDKDD-2004-WrightY #distributed #privacy #semistructured data
Privacy-preserving Bayesian network structure computation on distributed heterogeneous data (RNW, ZY), pp. 713–718.
KDDKDD-2004-WuGH #clustering #mining #using
Mining scale-free networks using geodesic clustering (AYW, MG, JH), pp. 719–724.
KRKR-2004-GonzalesP #elicitation
GAI Networks for Utility Elicitation (CG, PP), pp. 224–234.
LSOLSO-2004-JohnM #collaboration
Knowledge Networks — Managing Collaborative Knowledge Spaces (MJ, RM), pp. 165–171.
SIGIRSIGIR-2004-LuC #peer-to-peer #retrieval
Merging retrieval results in hierarchical peer-to-peer networks (JL, JC), pp. 472–473.
PLDIPLDI-2004-ZhuangP #parallel #thread
Balancing register allocation across threads for a multithreaded network processor (XZ, SP), pp. 289–300.
SACSAC-2004-AntoniouVPHJ #generative #simulation
A discrete event based simulation environment for enhanced UMTS 3rd generation networks (JA, VV, AP, GH, NJ), pp. 369–370.
SACSAC-2004-BeyerKMJL #architecture #flexibility #towards
Towards a flexible, process-oriented IT architecture for an integrated healthcare network (MB, KK, CM, SJ, RL), pp. 264–271.
SACSAC-2004-BuchholzB #adaptation
Replica placement in adaptive content distribution networks (SB, TB), pp. 1705–1710.
SACSAC-2004-CarvalhoCSBF #mobile #security #using
Using mobile agents as roaming security guards to test and improve security of hosts and networks (MMC, TBC, NS, MRB, KMF), pp. 87–93.
SACSAC-2004-HatalaREW #communication #implementation #learning #repository
The eduSource Communication Language: implementing open network for learning repositories and services (MH, GR, TE, JW), pp. 957–962.
SACSAC-2004-JiangWM #thread
Protein threading with residue-environment matching by artificial neural networks (NJ, WXW, IM), pp. 209–210.
SACSAC-2004-KayssiE #named #realtime
EmuNET: a real-time network emulator (AIK, AEHM), pp. 357–362.
SACSAC-2004-KlampanosJ #architecture #information retrieval #peer-to-peer
An architecture for information retrieval over semi-collaborating Peer-to-Peer networks (IAK, JMJ), pp. 1078–1083.
SACSAC-2004-MameiZ #coordination #distributed #self #tuple
Self-maintained distributed tuples for field-based coordination in dynamic networks (MM, FZ), pp. 479–486.
SACSAC-2004-MinOAK #communication
Communication delay in hypercubic networks with LRD traffic (GM, MOK, IUA, DDK), pp. 347–351.
SACSAC-2004-PrigourisPMHM #independence
A network independent broker for obtaining the position of nomadic users (NP, GP, GFM, SH, LFM), pp. 1206–1207.
SACSAC-2004-ZhouL #classification
Regularized B-spline network and its application to heart arrhythmia classification (JZ, LL), pp. 291–295.
ASPLOSASPLOS-2004-EkanayakeKM #power management
An ultra low-power processor for sensor networks (VNE, CKI, RM), pp. 27–36.
DACDAC-2004-NolletMVMV
Operating-system controlled network on chip (VN, TM, DV, JYM, SV), pp. 256–259.
DACDAC-2004-SilveiraP #algorithm #reduction
Exploiting input information in a model reduction algorithm for massively coupled parasitic networks (LMS, JRP), pp. 385–388.
DACDAC-2004-SridharaS #framework
Coding for system-on-chip networks: a unified framework (SRS, NRS), pp. 103–106.
DACDAC-2004-WuC #analysis #design #performance
Efficient power/ground network analysis for power integrity-driven design methodology (SWW, YWC), pp. 177–180.
DATEDATE-DF-2004-ChenLHBB #design
Utilizing Formal Assertions for System Design of Network Processors (XC, YL, HH, LNB, FB), pp. 126–133.
DATEDATE-DF-2004-FerrerGFAC #implementation #logic #named #programmable
NeuroFPGA — Implementing Artificial Neural Networks on Programmable Logic Devices (DF, RG, RF, JPA, RC), pp. 218–223.
DATEDATE-DF-2004-FummiMMPP #analysis #architecture #industrial #modelling
Modeling and Analysis of Heterogeneous Industrial Networks Architectures (FF, SM, MM, GP, MP), pp. 342–344.
DATEDATE-DF-2004-LettninBBGR #case study #design #embedded #synthesis
Synthesis of Embedded SystemC Design: A Case Study of Digital Neural Networks (DL, AGB, MB, JG, WR), pp. 248–255.
DATEDATE-DF-2004-PapaefstathiouKZ #performance
Software Processing Performance in Network Processors (IP, GK, NZ), pp. 186–191.
DATEDATE-v1-2004-AtienzaMCMS #design #memory management #multi
Dynamic Memory Management Design Methodology for Reduced Memory Footprint in Multimedia and Wireless Network Applications (DA, SM, FC, JMM, DS), pp. 532–537.
DATEDATE-v1-2004-BansalGDNG #architecture #configuration management
Network Topology Exploration of Mesh-Based Coarse-Grain Reconfigurable Architectures (NB, SG, ND, AN, RG), pp. 474–479.
DATEDATE-v1-2004-JangKLCLS #architecture #case study #modelling
High-Level System Modeling and Architecture Exploration with SystemC on a Network SoC: S3C2510 Case Study (HOJ, MK, MjL, KC, KL, KS), pp. 538–543.
DATEDATE-v1-2004-QuinnLBA #configuration management #framework #platform
A System Level Exploration Platform and Methodology for Network Applications Based on Configurable Processors (DQ, BL, GB, EMA), pp. 364–371.
DATEDATE-v1-2004-StefanovZTKD #approach #design #process #using
System Design Using Kahn Process Networks: The Compaan/Laura Approach (TS, CZ, AT, BK, EFD), pp. 340–345.
DATEDATE-v2-2004-AcquavivaLB #power management
Power-Aware Network Swapping for Wireless Palmtop PCs (AA, EL, AB), pp. 858–863.
DATEDATE-v2-2004-GrunewaldNPR #multi
A Mapping Strategy for Resource-Efficient Network Processing on Multiprocessor SoC (MG, JCN, MP, UR), pp. 758–763.
DATEDATE-v2-2004-JalabertMBM
×pipesCompiler: A Tool for Instantiating Application Specific Networks on Chip (AJ, SM, LB, GDM), pp. 884–889.
DATEDATE-v2-2004-KadayifK #energy
Tuning In-Sensor Data Filtering to Reduce Energy Consumption in Wireless Sensor Networks (IK, MTK), pp. 852–857.
DATEDATE-v2-2004-LaouamriA #protocol #testing #using
Enhancing Testability of System on Chips Using Network Management Protocols (OL, CA), pp. 1370–1371.
DATEDATE-v2-2004-MillbergNTJ #using
Guaranteed Bandwidth Using Looped Containers in Temporally Disjoint Networks within the Nostrum Network on Chip (MM, EN, RT, AJ), pp. 890–895.
DATEDATE-v2-2004-PestanaRRGG #approach #trade-off
Cost-Performance Trade-Offs in Networks on Chip: A Simulation-Based Approach (SGP, ER, AR, KGWG, OPG), pp. 764–769.
DATEDATE-v2-2004-RadulescuDGRW #abstraction #flexibility #interface #performance
An Efficient On-Chip Network Interface Offering Guaranteed Services, Shared-Memory Abstraction, and Flexible Network Configuration (AR, JD, KGWG, ER, PW), pp. 878–883.
DATEDATE-v2-2004-WangTC #optimisation
Thermal and Power Integrity Based Power/Ground Networks Optimization (TYW, JLT, CCPC), pp. 830–835.
DATEDATE-v2-2004-ZhangGZJ #logic #optimisation #synthesis
Synthesis and Optimization of Threshold Logic Networks with Application to Nanotechnologies (RZ, PG, LZ, NKJ), pp. 904–909.
HPDCHPDC-2004-QiaoSD #empirical #multi #predict
An Empirical Study of the Multiscale Predictability of Network Traffic (YQ, JAS, PAD), pp. 66–76.
HPDCHPDC-2004-ZangrilliL #monitoring #using
Using Passive Traces of Application Traffic in a Network Monitoring System (MZ, BL), pp. 77–86.
LCTESLCTES-2004-WillmannBP #architecture #interface #named #programmable
Spinach: a liberty-based simulator for programmable network interface architectures (PW, MB, VSP), pp. 20–29.
OSDIOSDI-2004-GunawiAA
Deploying Safe User-Level Network Services with icTCP (HSG, ACAD, RHAD), pp. 317–332.
PDPPDP-2004-AlbrechtHD #embedded #multi #thread
Cooperative Software Multithreading to Enhance Utilization of Embedded Processors for Network Applications (CA, RH, ACD), pp. 300–307.
PDPPDP-2004-AljundiD #multi #performance
The Effect of the Degree of Multistage Interconnection Networks on their Performance: The Case of Delta and Over-Sized Delta Networks (ACA, JLD), p. 72–?.
PDPPDP-2004-ArdaizN #deployment #framework #internet #named #programmable
Xweb: A Framework for Application Network Deployment in a Programmable Internet Service Infrastructure (OA, LN), p. 398–?.
PDPPDP-2004-AvreskyVM #scalability
Dynamically Scaling System Area Networks (DRA, YV, MM), pp. 22–27.
PDPPDP-2004-CanoM #ad hoc #mobile
Group Mobility Impact over TCP and CBR Traffic in Mobile Ad Hoc Networks (JCC, PM), pp. 382–389.
PDPPDP-2004-JelasityKS #approach #distributed #peer-to-peer
An Approach to Massively Distributed Aggregate Computing on Peer-to-Peer Networks (MJ, WK, MvS), pp. 200–207.
DATEDATE-2005-MelloMCM04 #multi #named
MultiNoC: A Multiprocessing System Enabled by a Network on Chip (AM, LM, NC, FGM), pp. 234–239.
FoSSaCSFoSSaCS-2004-RamanathanMST #analysis #bisimulation #equivalence #probability #protocol #security
Probabilistic Bisimulation and Equivalence for Security Analysis of Network Protocols (AR, JCM, AS, VT), pp. 468–483.
STOCSTOC-2004-AzarR
The zero-one principle for switching networks (YA, YR), pp. 64–71.
STOCSTOC-2004-MankuNW #lookahead #power of #random
Know thy neighbor’s neighbor: the power of lookahead in randomized P2P networks (GSM, MN, UW), pp. 54–63.
STOCSTOC-2004-Tardos #game studies
Network games (ÉT), pp. 341–342.
CSLCSL-2004-Rohde
Moving in a Crumbling Network: The Balanced Case (PR), pp. 310–324.
LICSLICS-2004-AbdullaDM #multi
Multi-Clock Timed Networks (PAA, JD, PM), pp. 345–354.
TPDLECDL-2003-MeierSHS #named #social
SozioNet: Networking Social Science Resources (WM, NS, SH, RS), pp. 245–256.
ICDARICDAR-2003-ChoiCK #generative #online
Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers (HIC, SJC, JHK), p. 995–?.
ICDARICDAR-2003-ChoisyB #markov #recognition #word
Coupling of a local vision by Markov field and a global vision by Neural Network for the recognition of handwritten words (CC, AB), pp. 849–853.
ICDARICDAR-2003-ChoK #modelling #online #recognition
Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition (SJC, JHK), pp. 207–211.
ICDARICDAR-2003-ShimizuOWK #image #learning
Mirror Image Learning for Autoassociative Neural Networks (SS, WO, TW, FK), pp. 804–808.
ICDARICDAR-2003-SimardSP #analysis #documentation #visual notation
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis (PYS, DS, JCP), pp. 958–962.
ICDARICDAR-2003-YouK #approach #segmentation #string #using
An approach for locating segmentation points of handwritten digit strings using a neural network (DY, GK), p. 142–?.
SIGMODSIGMOD-2003-CranorJSS #database #named
Gigascope: A Stream Database for Network Applications (CDC, TJ, OS, VS), pp. 647–651.
SIGMODSIGMOD-2003-KornMZ #correlation #named #visual notation
IPSOFACTO: A Visual Correlation Tool for Aggregate Network Traffic Data (FK, SM, YZ), p. 677.
SIGMODSIGMOD-2003-MaddenFHH #design #query
The Design of an Acquisitional Query Processor For Sensor Networks (SM, MJF, JMH, WH), pp. 491–502.
VLDBVLDB-2003-BawaBA #documentation #privacy
Privacy-Preserving Indexing of Documents on the Network (MB, RJBJ, RA), pp. 922–933.
VLDBVLDB-2003-KornMZ #database #monitoring #problem #quality
Checks and Balances: Monitoring Data Quality Problems in Network Traffic Databases (FK, SM, YZ), pp. 536–547.
VLDBVLDB-2003-PapadiasZMT #database #query
Query Processing in Spatial Network Databases (DP, JZ, NM, YT), pp. 802–813.
VLDBVLDB-2003-Shenker
The Data-Centric Revolution in Networking (SS), p. 15.
ICSMEICSM-2003-QuahT #metric #object-oriented #predict #quality #using
Application of Neural Networks for Software Quality Prediction Using Object-Oriented Metrics (TSQ, MMTT), p. 116–?.
ICALPICALP-2003-BergerBBCR
Degree Distribution of the FKP Network Model (NB, BB, CB, JTC, OR), pp. 725–738.
ICALPICALP-2003-BugliesiCPS
Secrecy in Untrusted Networks (MB, SC, AP, VS), pp. 969–983.
ICALPICALP-2003-Fiat
Some Issues Regarding Search, Censorship, and Anonymity in Peer to Peer Networks (AF), p. 33.
SEFMSEFM-2003-CarboneNS #formal method #trust
A Formal Model for Trust in Dynamic Networks (MC, MN, VS), p. 54–?.
CHICHI-2003-McDonald #collaboration #comparative #evaluation #recommendation #social
Recommending collaboration with social networks: a comparative evaluation (DWM), pp. 593–600.
CAiSECAiSE-2003-GansJLS #modelling #simulation
Deliberation in a Modeling and Simulation Environment for Inter-organizational Networks (GG, MJ, GL, DS), pp. 242–257.
CAiSECAiSE-2003-LoserSWN #integration #peer-to-peer
Information Integration in Schema-Based Peer-To-Peer Networks (AL, WS, MW, WN), pp. 258–272.
CAiSECAiSE-2003-PapazoglouKY #peer-to-peer
Leveraging Web-Services and Peer-to-Peer Networks (MPP, BJK, JY), pp. 485–501.
ICEISICEIS-v2-2003-Abdel-WahaabBHH #3d #invariant #recognition #using
Three-Dimensional Object Recognition Using Support Vector Machine Neural Network Based on Moment Invariant Features (MSAW, SFB, ASH, DMH), pp. 583–588.
ICEISICEIS-v2-2003-AzevedoM #analysis #capacity #enterprise #requirements
Requirements of a Decision Support System for Capacity Analysis and Planning in Enterprise Networks (ALA, AM), pp. 177–184.
ICEISICEIS-v2-2003-BelgacemCR #detection
Detection of Cardiac Arrhythmias By Neural Networks (NB, MAC, FBR), pp. 414–417.
ICEISICEIS-v2-2003-BendouM #learning #semistructured data
Learning Bayesian Networks From Noisy Data (MB, PM), pp. 26–33.
ICEISICEIS-v2-2003-CamposGM #abduction #probability #using
Partial Abductive Inference in Bayesian Networks By Using Probability Trees (LMdC, JAG, SM), pp. 83–91.
ICEISICEIS-v2-2003-ColaceSFV #learning #ontology
Ontology Learning Through Bayesian Networks (FC, MDS, PF, MV), pp. 430–433.
ICEISICEIS-v2-2003-HashemGH #ad hoc #algorithm #mobile #search-based
A Quality-Of-Service-Aware Genetic Algorithm for the Source Routing in Ad-Hoc Mobile Networks (MH, SG, MH), pp. 589–599.
ICEISICEIS-v2-2003-HogoLS #clustering #using
Conventional Versus Interval Clustering Using Kohonen Networks (MH, PL, MS), pp. 250–257.
ICEISICEIS-v2-2003-IsikK #problem
Partially Connected Neural Networks for Mapping Problems (CI, SK), pp. 469–473.
ICEISICEIS-v2-2003-KeeniGS #learning #on the #performance #using
On Fast Learning of Neural Networks Using Back Propagation (KK, KG, HS), pp. 266–271.
ICEISICEIS-v2-2003-Koehler #automation #database #health #learning
Tool for Automatic Learning of Bayesian Networks From Database: An Application in the Health Area (CK), pp. 474–481.
ICEISICEIS-v2-2003-KoskivaaraB
An Artificial Neural Network Based Decision Support System for Budgeting (EK, BB), pp. 108–114.
ICEISICEIS-v2-2003-NastacM #performance
An Efficient Procedure for Artificial Neural Networks Retraining (DIN, RM), pp. 324–329.
ICEISICEIS-v2-2003-NetoCMG #analysis #simulation #using
Simulating Data Envelopment Analysis Using Neural Networks (LBN, PHGC, JCCBSdM, EGG), pp. 244–249.
ICEISICEIS-v2-2003-OuazzaneZME #database #monitoring #performance #process
The Use of Neural Network and Database Technology to Reengineer the Technical Process of Monitoring Coal Combustion Efficiency (KO, KZ, FM, KE), pp. 495–498.
ICEISICEIS-v2-2003-SolvangDS #flexibility #fuzzy #logic
Applying Fuzzy Logic and Neural Network for Quantifying Flexibility of Supply Chains (WDS, ZD, BS), pp. 557–561.
ICEISICEIS-v3-2003-HarrisonABBRTL #information management #re-engineering
Key Issues in Information Systems and Software Engineering — Views From a Joint Network of Practitioners and Academics (RH, DEA, KHB, RB, MR, DT, KL), pp. 357–363.
ICEISICEIS-v4-2003-PoggiBSC #collaboration #named
Collaborator — A Collaborative System for Heterogeneous Networks and Devices (AP, FB, MS, SC), pp. 477–480.
ICEISICEIS-v4-2003-StorBNM #enterprise #framework
It Infrastructure for Supply Chain Management in Company Networks with Small and Medium-Sized Enterprise (MS, NB, JN, GM), pp. 280–287.
CIKMCIKM-2003-GloorLDZ #analysis #collaboration #communication #visualisation
Visualization of Communication Patterns in Collaborative Innovation Networks — Analysis of Some W3C Working Groups (PAG, RL, SBCD, YZ), pp. 56–60.
CIKMCIKM-2003-LeeGO #evaluation #multi #retrieval #semantics
An evaluation of the incorporation of a semantic network into a multidimensional retrieval engine (JL, DAG, RO), pp. 572–575.
CIKMCIKM-2003-Liben-NowellK #predict #problem #social
The link prediction problem for social networks (DLN, JMK), pp. 556–559.
CIKMCIKM-2003-LuC #hybrid #peer-to-peer #retrieval
Content-based retrieval in hybrid peer-to-peer networks (JL, JPC), pp. 199–206.
ECIRECIR-2003-KlampanosBJ #information retrieval #peer-to-peer
Evaluating Peer-to-Peer Networking for Information Retrieval within the Context of Meta-searching (IAK, JJB, JMJ), pp. 528–536.
ICMLICML-2003-BrownW #ambiguity #composition #learning #using
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods (GB, JLW), pp. 67–74.
ICMLICML-2003-MooreW #learning
Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning (AWM, WKW), pp. 552–559.
ICMLICML-2003-RivestP
Combining TD-learning with Cascade-correlation Networks (FR, DP), pp. 632–639.
ICMLICML-2003-WongMCW #detection
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks (WKW, AWM, GFC, MMW), pp. 808–815.
ICMLICML-2003-YamadaSU
Cross-Entropy Directed Embedding of Network Data (TY, KS, NU), pp. 832–839.
KDDKDD-2003-HopcroftKKS #community #scalability
Natural communities in large linked networks (JEH, OK, BK, BS), pp. 541–546.
KDDKDD-2003-KempeKT #social
Maximizing the spread of influence through a social network (DK, JMK, ÉT), pp. 137–146.
KDDKDD-2003-PerngTGMH #data-driven #validation
Data-driven validation, completion and construction of event relationship networks (CSP, DT, GG, SM, JLH), pp. 729–734.
KDDKDD-2003-WhiteS #algorithm
Algorithms for estimating relative importance in networks (SW, PS), pp. 266–275.
MLDMMLDM-2003-KimJ #using
Using Bayesian Networks to Analyze Medical Data (ICK, YGJ), pp. 317–327.
MLDMMLDM-2003-MagnussonV #sequence #using #visualisation
Visualizing Sequences of Texts Using Collocational Networks (CM, HV), pp. 276–283.
SEKESEKE-2003-ThwinQ #maintenance #metric #object-oriented #using
Application of Neural Networks for Estimating Software Maintainability Using Object-Oriented Metrics (MMTT, TSQ), pp. 69–73.
SIGIRSIGIR-2003-TsaiMT #classification #hybrid #image #using
Image classification using hybrid neural networks (CFT, KM, JT), pp. 431–432.
PLDIPLDI-2003-GeorgeB
Taming the IXP network processor (LG, MB), pp. 26–37.
ASEASE-2003-GuoCS #fault #predict
Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks (LG, BC, HS), pp. 249–252.
SACSAC-2003-AdwankarV #enterprise #mobile #pervasive
Mobile Agent based Pervasive Systems Manager for Enterprise Network (SA, VV), pp. 886–892.
SACSAC-2003-BusiMMZ #coordination #data-driven #named #peer-to-peer
PeerSpaces: Data-driven Coordination in Peer-to-Peer Networks (NB, CM, AM, GZ), pp. 380–386.
SACSAC-2003-DattaS #energy #protocol
A Simple and Energy-Efficient Routing Protocol for Radio Networks (AD, SS), pp. 1014–1018.
SACSAC-2003-Mahoney #detection
Network Traffic Anomaly Detection Based on Packet Bytes (MVM), pp. 346–350.
SACSAC-2003-RaisanenW #communication #evaluation #multi #optimisation #problem
Multi-objective Optimization in the Area Coverage Problems for Cellular Communication Networks: Evaluation of an Elitist Evolutionary Strategy (LR, RMW), pp. 714–720.
SACSAC-2003-RamanCBDR #pervasive #resource management
Access-Controlled Resource Discovery for Pervasive Networks (SR, DEC, MB, SD, RLR), pp. 338–345.
SACSAC-2003-ZhuHY #using #web
Recognizing the Relations between Web Pages Using Artificial Neural Network (XZ, SH, YY), pp. 1217–1221.
DACDAC-2003-DescampsBGIP #design #using
Design of a 17-million gate network processor using a design factory (GED, SB, SG, SI, AP), pp. 844–849.
DACDAC-2003-FineZ #functional #generative #testing #using #verification
Coverage directed test generation for functional verification using bayesian networks (SF, AZ), pp. 286–291.
DACDAC-2003-LongH #distributed #reduction
Distributed sleep transistor network for power reduction (CL, LH), pp. 181–186.
DACDAC-2003-OMahonyYHW #design #using
Design of a 10GHz clock distribution network using coupled standing-wave oscillators (FO, CPY, MH, SSW), pp. 682–687.
DACDAC-2003-QianNS #random
Random walks in a supply network (HQ, SRN, SSS), pp. 93–98.
DACDAC-2003-RongP #approach #markov #mobile
Extending the lifetime of a network of battery-powered mobile devices by remote processing: a markovian decision-based approach (PR, MP), pp. 906–911.
DACDAC-2003-WangM #multi #optimisation #power management #using
On-chip power supply network optimization using multigrid-based technique (KW, MMS), pp. 113–118.
DACDAC-2003-ZhuYC #adaptation #algebra #analysis #approach #multi #using
Power network analysis using an adaptive algebraic multigrid approach (ZZ, BY, CKC), pp. 105–108.
DATEDATE-2003-AndriahantenainaG #implementation
Micro-Network for SoC: Implementation of a 32-Port SPIN network (AA, AG), pp. 11128–11129.
DATEDATE-2003-ChoiB #migration #using
Hierarchical Global Floorplacement Using Simulated Annealing and Network Flow Area Migration (WC, KB), pp. 11104–11105.
DATEDATE-2003-DoboliGD #clustering #modelling #using
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering (SD, GG, AD), pp. 11098–11099.
DATEDATE-2003-GriesKSK #case study #modelling #simulation
Comparing Analytical Modeling with Simulation for Network Processors: A Case Study (MG, CK, CS, KK), pp. 20256–20261.
DATEDATE-2003-JanDE #case study #development #embedded #encryption #migration
Porting a Network Cryptographic Service to the RMC2000: A Case Study in Embedded Software Development (SJ, PdD, SAE), pp. 20150–20157.
DATEDATE-2003-MuellerSEW #integration #tool support
Dynamic Tool Integration in Heterogeneous Computer Networks (WM, TS, HJE, JW), pp. 10946–10953.
DATEDATE-2003-NilssonMOJ #proximity
Load Distribution with the Proximity Congestion Awareness in a Network on Chip (EN, MM, , AJ), pp. 11126–11127.
DATEDATE-2003-PaulinPB #challenge #framework #platform
Network Processing Challenges and an Experimental NPU Platform (PGP, CP, EB), pp. 20064–20069.
DATEDATE-2003-RijpkemaGRDMWW #design
Trade Offs in the Design of a Router with Both Guaranteed and Best-Effort Services for Networks on Chip (ER, KGWG, AR, JD, JLvM, PW, EW), pp. 10350–10355.
DATEDATE-2003-SoniRHRV #named #performance
NPSE: A High Performance Network Packet Search Engine (NS, NR, LBH, SR, GV), pp. 20074–20081.
DATEDATE-2003-SurendraBN #reuse
Enhancing Speedup in Network Processing Applications by Exploiting Instruction Reuse with Flow Aggregation (GS, SB, SKN), pp. 10784–10789.
DATEDATE-2003-VelenisPF #nondeterminism #performance
Reduced Delay Uncertainty in High Performance Clock Distribution Networks (DV, MCP, EGF), pp. 10068–10075.
HPCAHPCA-2003-HaoH
Active I/O Switches in System Area Networks (MH, MH), pp. 365–376.
HPCAHPCA-2003-ShangPJ #optimisation #scalability
Dynamic Voltage Scaling with Links for Power Optimization of Interconnection Networks (LS, LSP, NKJ), pp. 91–102.
HPCAHPCA-2003-TaylorLAA #architecture
Scalar Operand Networks: On-Chip Interconnect for ILP in Partitioned Architecture (MBT, WL, SPA, AA), pp. 341–353.
PDPPDP-2003-Al-DubaiOM #3d #algorithm #scalability
A Scalable Plane-Based Broadcast Algorithm for 3D-Mesh Networks (AYAD, MOK, LMM), pp. 149–156.
PDPPDP-2003-BilligNES #aspect-oriented #community #education
Mecomp.net — Organizational, Sociological and Technological Aspects of a Community Network in the Field of Education and Employment (AB, LN, JWE, KS), p. 507–?.
PDPPDP-2003-ChiW
Routing Tree Construction for Interconnection Network with Irregular Topologies (HCC, WJW), pp. 157–164.
PDPPDP-2003-MartinezFRLD #adaptation
Supporting Adaptive Routing in InfiniBand Networks (JCM, JF, AR, PL, JD), pp. 165–172.
PDPPDP-2003-SethiB #ad hoc #named #security
CRESQ: Providing QoS and Security in Ad hoc Networks (PS, GB), p. 544–?.
PPoPPPPoPP-2003-KimPR #concurrent #interface #programmable
Exploiting task-level concurrency in a programmable network interface (HyK, VSP, SR), pp. 61–72.
ESOPESOP-2003-GeilenB #execution #process #requirements
Requirements on the Execution of Kahn Process Networks (MG, TB), pp. 319–334.
FASEFASE-2003-JinELJ #analysis #composition #data flow #process
Modular Analysis of Dataflow Process Networks (YJ, RE, CL, JWJ), pp. 184–199.
STOCSTOC-2003-AdlerHKV #peer-to-peer #probability #process
A stochastic process on the hypercube with applications to peer-to-peer networks (MA, EH, RMK, VVV), pp. 575–584.
STOCSTOC-2003-AnshelevichDTW #design
Near-optimal network design with selfish agents (EA, AD, ÉT, TW), pp. 511–520.
STOCSTOC-2003-AzarR #multi
Management of multi-queue switches in QoS networks (YA, YR), pp. 82–89.
STOCSTOC-2003-ColeDR
Pricing network edges for heterogeneous selfish users (RC, YD, TR), pp. 521–530.
STOCSTOC-2003-GuptaKR #algorithm #approximate #design
Simpler and better approximation algorithms for network design (AG, AK, TR), pp. 365–372.
ICLPICLP-2003-MoonMHK #ambiguity #integration #semantics #word
Integration of Semantic Networks for Corpus-Based Word Sense Disambiguation (YJM, KM, YH, PK), pp. 492–493.
SIGMODSIGMOD-2002-CranorGJSS #interface #monitoring #named #performance #sql
Gigascope: high performance network monitoring with an SQL interface (CDC, YG, TJ, VS, OS), p. 623.
SIGMODSIGMOD-2002-FungSG #database #named
COUGAR: the network is the database (WFF, DS, JG), p. 621.
SIGMODSIGMOD-2002-KalnisNOPT #adaptation #distributed #peer-to-peer
An adaptive peer-to-peer network for distributed caching of OLAP results (PK, WSN, BCO, DP, KLT), pp. 25–36.
SIGMODSIGMOD-2002-KarbhariRXD #delivery #named
ACDN: a content delivery network for applications (PK, MR, ZX, FD), p. 619.
SIGMODSIGMOD-2002-MaddenH #power management #query
Distributing queries over low-power wireless sensor networks (SM, JMH), p. 622.
VLDBVLDB-2002-HeymannTKWRMF #named #product line #visual notation
Viator — A Tool Family for Graphical Networking and Data View Creation (SH, KT, AK, GW, PR, DM, JCF), pp. 1067–1070.
ITiCSEITiCSE-2002-Cassel #learning
Very active learning of network routing (LNC), p. 195.
ITiCSEITiCSE-2002-FabregaMJM #learning
A virtual network laboratory for learning IP networking (LF, JM, TJ, DM), pp. 161–164.
ITiCSEITiCSE-2002-RichardsW #concept
Illustrating networking concepts with wireless handheld devices (BR, NW), pp. 29–33.
CSMRCSMR-2002-AkkanenKN #case study #component #editing #evolution #experience
Evolution of a Software Component — Experiences with a Network Editor Component (JA, AK, JKN), pp. 119–125.
ICALPICALP-2002-BeierSS #data type #energy #geometry #using
Energy Optimal Routing in Radio Networks Using Geometric Data Structures (RB, PS, NS), pp. 366–376.
ICALPICALP-2002-ChristerssonGL #ad hoc #bound
Gossiping with Bounded Size Messages in ad hoc Radio Networks (MC, LG, AL), pp. 377–389.
ICALPICALP-2002-CzumajLZ #approximate #design #polynomial #problem
Polynomial-Time Approximation Schemes for the Euclidean Survivable Network Design Problem (AC, AL, HZ), pp. 973–984.
ICALPICALP-2002-Radzik #bound
Improving Time Bounds on Maximum Generalised Flow Computations by Contracting the Network (TR), pp. 611–622.
CSCWCSCW-2002-MillenP #community #social
Stimulating social engagement in a community network (DRM, JFP), pp. 306–313.
CAiSECAiSE-2002-GansLJV #modelling #named #simulation
SNet: A Modeling and Simulation Environment for Agent Networks Based on i* and ConGolog (GG, GL, MJ, TV), pp. 328–343.
EDOCEDOC-2002-KrishnakumarS #adaptation #constraints #ubiquitous
Constraint Based Network Adaptation for Ubiquitous Applications (KTK, MS), p. 258–?.
ICEISICEIS-2002-AshB #enterprise #implementation #staged
Staged Implementation of E-Business Networks through ERP (CGA, JMB), pp. 877–884.
ICEISICEIS-2002-BaiL #recognition
Neural Networks and Wavelets for Face Recognition (LB, YL), pp. 334–340.
ICEISICEIS-2002-CarvalhoDCDNA #database
Medical Data Base Exploration through Artificial Neural Networks (LFdC, CASD, HJTdC, DD, SMN, FMdA), pp. 455–459.
ICEISICEIS-2002-Greene #enterprise #information management
Enterprise Information Systems and the Global Information Network: Change is Certain, Progress is Optional (TG), p. 5.
ICEISICEIS-2002-HillbrandK #approach #metamodelling #using
Using Artificial Neural Networks to Prove Hypothetic Cause-And-Effect Relations: A Metamodel-Based Approach to Support Strategic Decisions (CH, DK), pp. 367–373.
ICEISICEIS-2002-Hovanyi #component #reuse
Reusable Component Extraction from Intellingent Network Management Applications (DH), pp. 618–626.
ICEISICEIS-2002-KieltykaK #energy #predict
The Application of Artificial Neural Networks for Heat Energy Use Prediction (LK, RK), pp. 526–529.
ICEISICEIS-2002-LuzuriagaMC #communication #elicitation #enterprise #process #requirements
Managing Enterprise Communication Networks to Improve the Requirements Elicitation Process (JML, RM, AC), pp. 770–775.
ICEISICEIS-2002-Srinivas #concept #java #security
Network Security Concepts and Java (RS), p. 23.
ICEISICEIS-2002-Vellido #analysis #e-commerce
Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice (AV), pp. 439–445.
ICEISICEIS-2002-WangSHMY #health #information management
The Millennium Information System (MIS) for European Public Health and Environment Network (EPHEN) (FW, RS, NH, FM, YJY), pp. 302–306.
ICEISICEIS-2002-WeghornGW #internet #mobile
Linking Mobile Network Services to Internet Mail (HW, CG, DW), pp. 795–798.
CIKMCIKM-2002-Faloutsos #data mining #mining #self
Future directions in data mining: streams, networks, self-similarity and power laws (CF), p. 93.
CIKMCIKM-2002-KalogerakiGZ #peer-to-peer
A local search mechanism for peer-to-peer networks (VK, DG, DZY), pp. 300–307.
ECIRECIR-2002-CamposFH #documentation #retrieval
A Layered Bayesian Network Model for Document Retrieval (LMdC, JMFL, JFH), pp. 169–182.
ECIRECIR-2002-TsikrikaL #documentation #using #web
Combining Web Document Representations in a Bayesian Inference Network Model Using Link and Content-Based Evidence (TT, ML), pp. 53–72.
ICMLICML-2002-ZhangL #bound
Representational Upper Bounds of Bayesian Networks (HZ, CXL), pp. 674–681.
ICPRICPR-v1-2002-ClaudeWPB #classification #image
Contour Features for Colposcopic Image Classification by Artificial Neural Networks (IC, RW, PP, JCB), pp. 771–774.
ICPRICPR-v1-2002-FrimanBLTK #approach
Recognizing Emphysema- A Neural Network Approach (OF, MB, ML, UT, HK), pp. 512–515.
ICPRICPR-v1-2002-Souafi-BensafiPLE #classification #documentation
Bayesian Networks Classifiers Applied to Documents (SSB, MP, FL, HE), p. 483–?.
ICPRICPR-v2-2002-CardotL #graph #pattern matching #pattern recognition #recognition
Graph of Neural Networks for Pattern Recognition (HC, OL), pp. 873–876.
ICPRICPR-v2-2002-Fasel #analysis #robust #using
Robust Face Analysis using Convolutional Neural Networks (BF), pp. 40–43.
ICPRICPR-v2-2002-GargPH #classification
Bayesian Networks as Ensemble of Classifiers (AG, VP, TSH), pp. 779–784.
ICPRICPR-v2-2002-GiacintoR #classification #detection #multi
Intrusion Detection in Computer Networks by Multiple Classifier Systems (GG, FR), pp. 390–393.
ICPRICPR-v2-2002-GrimPS #probability
Boosting in Probabilistic Neural Networks (JG, PP, PS), pp. 136–139.
ICPRICPR-v2-2002-HuangSK #detection #using
Face Detection Using a Modified Radial Basis Function Neural Network (LLH, AS, HK), pp. 342–345.
ICPRICPR-v2-2002-LiWZ #algorithm
Step Acceleration Based Training Algorithm for Feedforward Neural Networks (YL, KW, DZ), pp. 84–87.
ICPRICPR-v2-2002-MurpheyL #classification #feature model #multi
Feature Extraction for a Multiple Pattern Classification Neural Network System (YLM, YL), pp. 220–223.
ICPRICPR-v2-2002-TohM #approach #learning
A Global Transformation Approach to RBF Neural Network Learning (KAT, KZM), pp. 96–99.
ICPRICPR-v3-2002-BaesensECV #classification #learning #markov #monte carlo #using
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search (BB, MEP, RC, JV), pp. 49–52.
ICPRICPR-v3-2002-BarraezGDPR #composition
Modular Neural Networks for Seismic Tomography (DB, SGS, BD, MP, ER), pp. 407–410.
ICPRICPR-v3-2002-ChartierL #image #learning
Learning and Extracting Edges from Images by a Modified Hopfield Neural Network (SC, RL), pp. 431–434.
ICPRICPR-v3-2002-ChoudhuryRPP #detection #learning
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection (TC, JMR, VP, AP), p. 789–?.
ICPRICPR-v3-2002-KuritaTI #classification #image
A Neural Network Classifier for Occluded Images (TK, TT, YI), pp. 45–48.
ICPRICPR-v3-2002-WongLC #multi #recognition #using
Handwritten Digit Recognition Using Multi-Layer Feedforward Neural Networks with Periodic and Monotonic Activation Functions (KWW, CSL, SJC), pp. 106–109.
ICPRICPR-v4-2002-IwahoriWWI #implementation #self
Self-Calibration and Neural Network Implementation of Photometric Stereo (YI, YW, RJW, AI), pp. 359–362.
ICPRICPR-v4-2002-KoB02a #feedback #image #multi #probability #retrieval
Probabilistic Neural Networks Supporting Multi-Class Relevance Feedback in Region-Based Image Retrieval (BK, HB), pp. 138–141.
ICPRICPR-v4-2002-StephensonMB #automation #recognition #speech
Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition (TAS, MMD, HB), p. 293–?.
ICPRICPR-v4-2002-YeungC #detection
Parzen-Window Network Intrusion Detectors (DYY, CC), pp. 385–388.
KDDKDD-2002-AntalGF #clustering #learning #on the
On the potential of domain literature for clustering and Bayesian network learning (PA, PG, GF), pp. 405–414.
KDDKDD-2002-Boz
Extracting decision trees from trained neural networks (OB), pp. 456–461.
KDDKDD-2002-LiangK #mining
Mining heterogeneous gene expression data with time lagged recurrent neural networks (YL, AK), pp. 415–421.
KDDKDD-2002-MahoneyC #detection #learning #modelling #novel
Learning nonstationary models of normal network traffic for detecting novel attacks (MVM, PKC), pp. 376–385.
KRKR-2002-BeygelzimerR #complexity #learning
Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks (AB, IR), pp. 558–567.
KRKR-2002-Darwiche #approach #logic
A Logical Approach to Factoring Belief Networks (AD), pp. 409–420.
SEKESEKE-2002-FarinaFO #automaton #modelling #probability #representation
Representing software usage models with stochastic automata networks (AGF, PF, FMO), pp. 401–407.
SIGIRSIGIR-2002-GravesL #retrieval #using #video
Video retrieval using an MPEG-7 based inference network (AG, ML), pp. 339–346.
SIGIRSIGIR-2002-LarsenI #documentation
The boomerang effect: retrieving scientific documents via the network of references and citations (BL, PI), pp. 397–398.
ICSEICSE-2002-RomanJH #abstraction #mobile
Network abstractions for context-aware mobile computing (GCR, CJ, QH), pp. 363–373.
SACSAC-2002-Al-DubaiOM #scalability #towards
Towards a scalable broadcast in wormhole-switched mesh networks (AYAD, MOK, LMM), pp. 840–844.
SACSAC-2002-AljarehR #collaboration #multi #security
A task-based security model to facilitate collaboration in trusted multi-agency networks (SA, BNR), pp. 744–749.
SACSAC-2002-BarrettMSR #ad hoc #communication #framework #generative #modelling #simulation
A mobility and traffic generation framework for modeling and simulating ad hoc communication networks (CLB, MVM, JPS, SSR), pp. 122–126.
SACSAC-2002-ClarkSBLFLPJ
DANA (Digital Archive Network for Anthropology): a model for digital archiving (JTC, BMS, AB, FL, RF, JEL, WP, WJ), pp. 483–487.
SACSAC-2002-ElishRF #collaboration #learning
Evaluating collaborative software in supporting organizational learning with Bayesian Networks (MOE, DCR, JEF), pp. 992–996.
SACSAC-2002-FuC #polynomial
Cycle embedding in faulty hierarchical cubic networks (JSF, GHC), pp. 860–864.
SACSAC-2002-HurleyW #approach
An agent based approach to site selection for wireless networks (SH, RMW), pp. 574–577.
SACSAC-2002-KrugelTK #detection
Service specific anomaly detection for network intrusion detection (CK, TT, EK), pp. 201–208.
SACSAC-2002-ShahrabiOM #communication
Communication delay in wormhole-routed torus networks (AS, MOK, LMM), pp. 825–829.
SACSAC-2002-WangHTN #ad hoc #using
AODV compatible routing with extensive use of cache information in ad-hoc networks (WGW, TH, MT, SN), pp. 852–859.
ASPLOSASPLOS-2002-Estrin #architecture #challenge #research
Keynote address: Sensor network research: emerging challenges for architecture, systems, and languages (DE), pp. 1–4.
ASPLOSASPLOS-2002-KimPR #interface #throughput #web
Increasing web server throughput with network interface data caching (HyK, VSP, SR), pp. 239–250.
ASPLOSASPLOS-2002-LevisC #named #virtual machine
Maté: a tiny virtual machine for sensor networks (PL, DEC), pp. 85–95.
DACDAC-2002-MemikM #flexibility
A flexible accelerator for layer 7 networking applications (GM, WHMS), pp. 646–651.
DACDAC-2002-SuHSN
Congestion-driven codesign of power and signal networks (HS, JH, SSS, SRN), pp. 64–69.
DACDAC-2002-VaratkarM #analysis #design #multi
Traffic analysis for on-chip networks design of multimedia applications (GV, RM), pp. 795–800.
DACDAC-2002-WhelihanS #memory management #optimisation
Memory optimization in single chip network switch fabrics (DW, HS), pp. 530–535.
DACDAC-2002-YeMB #analysis #power management
Analysis of power consumption on switch fabrics in network routers (TTY, GDM, LB), pp. 524–529.
DACDAC-2002-Ykman-CouvreurLVCNK #memory management #optimisation #performance
System-level performance optimization of the data queueing memory management in high-speed network processors (CYC, JL, DV, FC, AN, GEK), pp. 518–523.
DACDAC-2002-ZhengP #analysis #modelling #symmetry
Modeling and analysis of regular symmetrically structured power/ground distribution networks (HZ, LTP), pp. 395–398.
DATEDATE-2002-BrandtnerW #power management #simulation
Hierarchical Simulation of Substrate Coupling in Mixed-Signal ICs Considering the Power Supply Network (TB, RW), pp. 1028–1032.
DATEDATE-2002-GoossensWPM
Networks on Silicon: Combining Best-Effort and Guaranteed Services (KGWG, PW, AMGP, JLvM), pp. 423–425.
DATEDATE-2002-KoranneC #problem #scheduling
Formulation of SOC Test Scheduling as a Network Transportation Problem (SK, VSC), p. 1125.
DATEDATE-2002-MicheliB #design #paradigm
Networks on Chip: A New Paradigm for Systems on Chip Design (GDM, LB), pp. 418–419.
DATEDATE-2002-SauerEKJ #design
The Fraunhofer Knowledge Network (FKN) for Training in Critical Design Disciplines (AS, GE, LK, WJ), p. 1129.
DATEDATE-2002-SimunicB #power management
Managing Power Consumption in Networks on Chip (TS, SPB), pp. 110–116.
HPDCHPDC-2002-AllenWP #adaptation #using
Adaptive Timeout Discovery Using the Network Weather Service (MSA, RW, JSP), pp. 35–41.
HPDCHPDC-2002-DickensG #data transfer #evaluation #performance
An Evaluation of Object-Based Data Transfers on High Performance Networks (PMD, WG), pp. 255–264.
HPDCHPDC-2002-HeS #adaptation #coordination #named
IQ-RUDP: Coordinating Application Adaptation with Network Transport (QH, KS), pp. 369–378.
HPDCHPDC-2002-McCombsS #clustering #parallel
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters (JRM, AS), pp. 143–149.
OSDIOSDI-2002-CastroDGRW #peer-to-peer
Secure Routing for Structured Peer-to-Peer Overlay Networks (MC, PD, AJG, AITR, DSW), pp. 299–314.
OSDIOSDI-2002-ElsonGE #fine-grained #using
Fine-Grained Network Time Synchronization Using Reference Broadcasts (JE, LG, DE), pp. 147–163.
OSDIOSDI-2002-MaddenFHH #ad hoc #named
TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks (SM, MJF, JMH, WH), pp. 131–146.
OSDIOSDI-2002-VahdatYWMKCB #scalability
Scalability and Accuracy in a Large-Scale Network Emulator (AV, KY, KW, PM, DK, JSC, DB), pp. 271–284.
OSDIOSDI-2002-WhiteLSRGNHBJ #distributed
An Integrated Experimental Environment for Distributed Systems and Networks (BW, JL, LS, RR, SG, MN, MH, CB, AJ), pp. 255–270.
PDPPDP-2002-BucheggerB #ad hoc #mobile #robust #security #towards
Nodes Bearing Grudges: Towards Routing Security, Fairness, and Robustness in Mobile Ad Hoc Networks (SB, JYLB), pp. 403–410.
PDPPDP-2002-GrosspietschM #communication
Routing to Support Communication in Dependable Networks (KEG, EM), p. 71–?.
PDPPDP-2002-PorrmannWKR #configuration management #hardware #implementation
Implementation of Artificial Neural Networks on a Reconfigurable Hardware Accelerator (MP, UW, HK, UR), p. 243–?.
PDPPDP-2002-PuenteGB #framework #multi #named #performance
SICOSYS: An Integrated Framework for studying Interconnection Network Performance in Multiprocessor Systems (VP, JAG, RB), pp. 15–22.
PDPPDP-2002-SanchoRD #algorithm #performance
Performance Sensitivity of Routing Algorithms to Failures in Networks of Workstations with Regular and Irregular Topologies (JCS, AR, JD), pp. 81–90.
PDPPDP-2002-Volbert #ad hoc #simulation #using
A Simulation Environment for Ad Hoc Networks Using Sector Subdivision (KV), p. 419–?.
WRLAWRLA-J-1996-PitaM02 #maude #object-oriented #specification
A Maude specification of an object-oriented model for telecommunication networks (IP, NMO), pp. 407–439.
STOCSTOC-2002-Roughgarden #independence
The price of anarchy is independent of the network topology (TR), pp. 428–437.
WRLAWRLA-2002-EkerKLLT #biology #execution #logic #modelling
Pathway Logic: Executable Models of Biological Networks (SE, MK, KL, PL, CLT), pp. 144–161.
WRLAWRLA-2002-StehrT #maude #programming language #specification
Plan in Maude: Specifying an Active Network Programming Language (MOS, CLT), pp. 240–260.
TPDLECDL-2001-Mutschke #data flow #information retrieval #using
Enhancing Information Retrieval in Federated Bibliographic Data Sources Using Author Network Based Stratagems (PM), pp. 287–299.
ICDARICDAR-2001-BourgeoisETD #documentation #image
Networking Digital Document Images (FLB, HE, ET, JD), pp. 379–383.
ICDARICDAR-2001-ChoK #modelling #online #recognition
Bayesian Network Modeling of Strokes and their Relationships for On-line Handwriting Recognition (SJC, JHK), pp. 86–90.
ICDARICDAR-2001-EtoS #recognition #using
Mathematical Formula Recognition Using Virtual Link Network (YE, MS), pp. 762–767.
ICDARICDAR-2001-LejtmanG #online #using #verification
On-line Handwritten Signature Verification Using Wavelets and Back-propagation Neural Networks (DZL, SEG), pp. 992–996.
ICDARICDAR-2001-Souafi-BensafiPLE #logic #using
Logical Labeling Using Bayesien Networks (SSB, MP, FL, HE), pp. 832–836.
JCDLJCDL-2001-CooperG
Creating trading networks of digital archives (BFC, HGM), pp. 353–362.
VLDBVLDB-2001-Sol #database #embedded #ubiquitous
Ambient Intelligence with the Ubiquitous Network, the Embedded Computer Devices and the Hidden Databases (EJS), p. 14.
ITiCSEITiCSE-2001-CarnianiD #comprehension #education
The NetWire emulator: a tool for teaching and understanding networks (EC, RD), pp. 153–156.
ITiCSEITiCSE-2001-Fone #concept #spreadsheet #using
Using a familiar package to demonstrate a difficult concept: using an excel spreadsheet model to explain the concepts of neural networks to undergraduates (WF), pp. 165–168.
ITiCSEITiCSE-2001-McCaugheyA #community #education #learning
The learning and teaching support network promoting best practice in the information and computer science academic community (AM, SA), p. 175.
ITiCSEITiCSE-2001-RickmanMMH #education
Enhancing the computer networking curriculum (JR, MM, GM, PJH), pp. 157–160.
ICSMEICSM-2001-OtaniY #component #off the shelf
A Customization Method for Network Management Functions without Modification of Off-the-Shelf Components (TO, YY), pp. 460–469.
ICALPICALP-2001-CaragiannisFKPR
Fractional Path Coloring with Applications to WDM Networks (IC, AF, CK, SP, HR), pp. 732–743.
ICALPICALP-2001-MargaraS #decidability #graph
Decidable Properties of Graphs of All-Optical Networks (LM, JS), pp. 518–529.
CHICHI-2001-CarrollR #community
Better home shopping or new democracy? evaluating community network outcomes (JMC, MBR), pp. 372–379.
VISSOFTSVIS-2001-CrescenziI #protocol #taxonomy #tool support #towards #visualisation
Towards a Taxonomy of Network Protocol Visualization Tools (PC, GI), pp. 241–255.
ICEISICEIS-v1-2001-Smirnov #concept #constraints #information management
Ontology-Drive Virtual Production Network Configuration: A Concept and Constraint-Object-Oriented Knowledge Management (AVS), pp. 345–352.
ICEISICEIS-v1-2001-StojanovicDS #development
Exploiting Temporal GIS and Spatio-Temporal Data to Enhance Telecom Network Planning and Development (DS, SDK, ZS), pp. 88–95.
ICEISICEIS-v1-2001-ThorntonR #artificial reality #data mining #mining #using
Using Virtual Reality Data Mining for Network Management (KEBT, CR), pp. 340–344.
ICEISICEIS-v2-2001-BaumolW
Intentions Value Network (UB, RW), pp. 1075–1080.
ICEISICEIS-v2-2001-MolliSGRSV
Integrating Network Services for Virtual Teams (PM, HSM, CG, PR, RS, VV), pp. 1034–1039.
ICEISICEIS-v2-2001-Riedl #architecture #corba #distributed #tool support #xml
A CORBA/XML-Based Architecture for Distributed Network Planning Tools (AR), pp. 926–933.
ICMLICML-2001-TaoBW #approach #multi
A Multi-Agent Policy-Gradient Approach to Network Routing (NT, JB, LW), pp. 553–560.
KDDKDD-2001-DomingosR #mining
Mining the network value of customers (PMD, MR), pp. 57–66.
KDDKDD-2001-MahHL #mining
Funnel report mining for the MSN network (TM, HH, YL), pp. 450–455.
LSOLSO-2001-DeckerJ #experience
The Integrated Corporate Information Network iCoIN: A Comprehensive, Web-Based Experience Factory (BD, AJ), pp. 192–206.
MLDMMLDM-2001-Krzyzak #classification #learning #using
Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks (AK), pp. 217–225.
MLDMMLDM-2001-PhamWS #classification #detection
Face Detection by Aggregated Bayesian Network Classifiers (TVP, MW, AWMS), pp. 249–262.
POPLPOPL-2001-BhargavanCMG #automaton #monitoring #what
What packets may come: automata for network monitoring (KB, SC, PJM, CAG), pp. 206–219.
AdaSIGAda-2001-Gantsou #ada #communication #distributed #multi #simulation
Targeting Ada95/DSA for distributed simulation of multiprotocol communication networks (DG), pp. 91–96.
RERE-2001-GansJKLEFM #approach #modelling #requirements #trust
Requirements Modeling for Organization Networks: A (Dis-)Trust-Based Approach (GG, MJ, SK, GL, LE, CF, MM), pp. 154–165.
RERE-2001-Hall01a #modelling #security #specification #validation
Specification Modeling and Validation Applied to Network Security Gateways (RJH), pp. 289–291.
ASEASE-2001-Hall #modelling #product line #security #specification #validation
Specification Modeling and Validation Applied to a Family of Network Security Products (RJH), pp. 71–80.
ICSEICSE-2001-JhaW #analysis
Survivability Analysis of Network Systems (SJ, JMW), pp. 307–317.
ICSEICSE-2001-RomanHH #ad hoc #consistency
Consistent Group Membership in Ad Hoc Networks (GCR, QH, AH), pp. 381–388.
SACSAC-2001-AnwarY #database #object-oriented
Integrating OO road network database, cases and knowledge for route finding (MAA, TY), pp. 215–219.
SACSAC-2001-CiSN #performance #using
Improving performance of MAC layer by using congestion control/avoidance methods in wireless network (SC, HS, GN), pp. 420–424.
SACSAC-2001-DowellB #graph #mobile #monte carlo #random #simulation #validation
Connectivity of random graphs and mobile networks: validation of Monte Carlo simulation results (LJD, MLB), pp. 77–81.
SACSAC-2001-JangCJJ #multi #performance
Efficient schemes to scale the interconnection network bandwidth in a ring-based multiprocessor system (BSJ, SWC, STJ, CSJ), pp. 510–516.
SACSAC-2001-MinFO #adaptation #analysis
Analysis of adaptive wormhole-routed torus networks with IPP input traffic (GM, JDF, MOK), pp. 494–498.
SACSAC-2001-MinhA #communication #distributed #mobile #replication
User profile replication with caching for distributed location management in mobile communication networks (HNM, HRvA), pp. 381–386.
SACSAC-2001-SerearunoH #comparison #multi
A comparison in training time of the single and multiple-output MLP neural networks (MS, TH), pp. 32–35.
SACSAC-2001-VasilakosAP
Application of computational intelligence techniques in active networks (AVV, KGA, WP), pp. 448–455.
SACSAC-2001-WangZZ
Perfect phylogenetic networks with recombination (LW, KZ, LZ), pp. 46–50.
SACSAC-2001-XiangFY #approach #behaviour #component #fuzzy #prototype
A fuzzy neural network approach to model component behavior for virtual prototyping of hydraulic system (WX, SCF, FFY), pp. 482–483.
SACSAC-2001-ZaninGA #adaptation #low cost #named
ADAPT — a low-cost videoconference model for personal computers running on IP networks (FAZ, LZG, MJBA), pp. 446–447.
DACDAC-2001-BhanjaR #dependence #modelling #probability #process #using
Dependency Preserving Probabilistic Modeling of Switching Activity using Bayesian Networks (SB, NR), pp. 209–214.
DACDAC-2001-DallyT
Route Packets, Not Wires: On-Chip Interconnection Networks (WJD, BT), pp. 684–689.
DACDAC-2001-KarimNDR #architecture #communication
On-Chip Communication Architecture for OC-768 Network Processors (FK, AN, SD, RRR), pp. 678–683.
DACDAC-2001-TanS #modelling #optimisation #performance
Fast Power/Ground Network Optimization Based on Equivalent Circuit Modeling (SXDT, CJRS), pp. 550–554.
DATEDATE-2001-CichonB #data type
Annotated data types for addressed token passing networks (GC, WB), p. 801.
DATEDATE-2001-DoboliV #analysis #scalability
A regularity-based hierarchical symbolic analysis method for large-scale analog networks (AD, RV), p. 806.
DATEDATE-2001-HuangM #configuration management #design #using
Managing dynamic reconfiguration overhead in systems-on-a-chip design using reconfigurable datapaths and optimized interconnection networks (ZH, SM), p. 735.
DATEDATE-2001-PaulinKB #architecture #embedded #requirements #tool support
Network processors: a perspective on market requirements, processor architectures and embedded S/W tools (PGP, FK, PB), pp. 420–429.
DATEDATE-2001-SilvaSAGLSTSRNSW #design
Design methodology for PicoRadio networks (JLdSJ, JS, MJA, CG, SFL, RCS, TT, MS, JMR, BN, ALSV, PKW), pp. 314–325.
HPCAHPCA-2001-ThottethodiRM #multi #self
Self-Tuned Congestion Control for Multiprocessor Networks (MT, ARL, SSM), pp. 107–118.
HPDCHPDC-2001-JinYCA
Network Characterization Service (NCS) (GJ, GY, BRC, DAA), p. 289–?.
HPDCHPDC-2001-LopezO #evaluation
Evaluation of a Resource Selection Mechanism for Complex Network Services (JCL, DRO), pp. 171–180.
HPDCHPDC-2001-RoyoCKF #architecture #pipes and filters #resource management
Active Yellow Pages: A Pipelined Resource Management Architecture for Wide-Area Network Computing (DR, LDdC, NHK, JABF), pp. 147–157.
HPDCHPDC-2001-SanderAFR #policy
End-to-End Provision of Policy Information for Network QoS (VS, WAA, ITF, AJR), pp. 115–126.
LCTESLCTES-OM-2001-WagnerL #c #compilation #design #industrial
C Compiler Design for an Industrial Network Processor (JW, RL), pp. 155–164.
PDPPDP-2001-BaydalLD
A Congestion Control Mechanism for Wormhole Networks (EB, PL, JD), pp. 19–26.
PDPPDP-2001-BerenbrinkBS #simulation
SIMLAB-A Simulation Environment for Storage Area Networks (PB, AB, CS), pp. 227–234.
PDPPDP-2001-CourtraiMR #communication #java #performance
Java Objects Communication on a High Performance Network (LC, YM, FR), pp. 203–210.
PDPPDP-2001-DaneseLLQRT #algorithm #case study #implementation #parallel
A Parallel Neurochip for Neural Networks Implementing the Reactive Tabu Search Algorithm: Application Case Studies (GD, IDL, FL, AQ, SR, GT), p. 273.
PDPPDP-2001-MoleroSSD #on the
On the Impact of Message Packetization in Networks of Workstations with Irregular Topology (XM, FS, VS, JD), pp. 3–10.
PDPPDP-2001-Ruckert #architecture
ULSI Architectures for Artificial Neural Networks (UR0), pp. 436–442.
PPoPPPPoPP-2001-CarreraB #clustering #performance
Efficiency vs. portability in cluster-based network servers (EVC, RB), pp. 113–122.
PPoPPPPoPP-2001-RencuzogullariD #adaptation #parallel
Dynamic adaptation to available resources for parallel computing in an autonomous network of workstations (UR, SD), pp. 72–81.
SOSPSOSP-2001-AndersenBKM
Resilient Overlay Networks (DGA, HB, MFK, RM), pp. 131–145.
SOSPSOSP-2001-HeidemannSIGEG #low level #performance
Building Efficient Wireless Sensor Networks with Low-Level Naming (JSH, FS, CI, RG, DE, DG), pp. 146–159.
SOSPSOSP-2001-MuthitacharoenCM #file system
A Low-Bandwidth Network File System (AM, BC, DM), pp. 174–187.
SOSPSOSP-2001-SpalinkKPG #robust #using
Building a Robust Software-Based Router Using Network Processors (TS, SK, LLP, YG), pp. 216–229.
FASEFASE-2001-OlveczkyKMTZ #analysis #maude #protocol #realtime #specification
Specification and Analysis of the AER/NCA Active Network Protocol Suite in Real-Time Maude (PCÖ, MK, JM, CLT, SZ), pp. 333–348.
STOCSTOC-2001-GuptaKKRY #design #multi #problem
Provisioning a virtual private network: a network design problem for multicommodity flow (AG, JMK, AK, RR, BY), pp. 389–398.
CAVCAV-2001-AlurW #implementation #protocol #refinement #verification
Verifying Network Protocol Implementations by Symbolic Refinement Checking (RA, BYW), pp. 169–181.
TPDLECDL-2000-RauberDM #approach #automation #detection #documentation #topic
Automatically Detecting and Organizing Documents into Topic Hierarchies: A Neural Network Based Approach to Bookshelf Creation and Arrangement (AR, MD, DM), pp. 348–351.
VLDBVLDB-2000-SchaeferBBJ
Controlling Data Warehouses with Knowledge Networks (ES, JDB, AB, MJ), pp. 715–718.
VLDBVLDB-2000-YuV #bound #fault #performance
Efficient Numerical Error Bounding for Replicated Network Services (HY, AV), pp. 123–133.
ITiCSEITiCSE-2000-NelsonN #education #open source #using
Teaching computer networking using open source software (DN, YMN), pp. 13–16.
ICALPICALP-2000-MargaraS #problem
Wavelength Assignment Problem on All-Optical Networks with k Fibres per Link (LM, JS), pp. 768–779.
WLCWLC-2000-Csuhaj-VarjuS
Networks of Watson-Crick D0L Systems (ECV, AS), pp. 134–150.
CHICHI-2000-MakelaGTS #communication #how #image #social
Joking, storytelling, artsharing, expressing affection: a field trial of how children and their social network communicate with digital images in leisure time (AM, VG, MT, RS), pp. 548–555.
CSCWCSCW-2000-KumD #collaboration #realtime
Supporting real-time collaboration over wide area networks (HCK, PD), p. 355.
ICEISICEIS-2000-ArribiC #architecture #distributed #self
A Distributed Agents Architecture for Self-Fault Management in Corporative Networks (JA, VC), pp. 385–389.
ICEISICEIS-2000-DiazEL #communication
Expert System-Based Alarm Management in Communication Networks (SD, JIE, JL), pp. 116–120.
ICEISICEIS-2000-Emery #case study
The Use of Information Theory in the Construction of a Bayesian Belief Network: A Case Study (DEE), pp. 121–126.
ICEISICEIS-2000-KalininNSP #process
Usage of Instrument of Neural Networks in Control of Complex Chemical-Technological Processes (AK, LN, ES, SP), pp. 521–524.
ICEISICEIS-2000-MartinLMRM #integration #modelling #standard
Integration of Expert System Rules into Standardized Object Description Models for Telecommunication Network Management (SM, CL, MM, MCR, AVM), pp. 171–175.
ICEISICEIS-2000-MilhoF #development
A User-Friendly Development Tool for Medical Diagnosis Based on Bayesian Networks (IM, ALNF), pp. 176–180.
ICEISICEIS-2000-WatkinsC
Decoding BCM Codes With a New Competitive Neural Network (FJW, RAC), pp. 227–234.
ICMLICML-2000-AndersonDP #behaviour #composition #student
Behavioral Cloning of Student Pilots with Modular Neural Networks (CWA, BAD, DAP), pp. 25–32.
ICMLICML-2000-CampbellTB #polynomial #reduction
Dimension Reduction Techniques for Training Polynomial Networks (WMC, KT, SVB), pp. 119–126.
ICMLICML-2000-KimN #learning #set
Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets (ZWK, RN), pp. 479–486.
ICMLICML-2000-Stone
TPOT-RL Applied to Network Routing (PS), pp. 935–942.
ICPRICPR-v1-2000-AyersC #recognition #using #video
Scenario Recognition from Video Using a Hierarchy of Dynamic Belief Networks (DA, RC), pp. 1835–1838.
ICPRICPR-v1-2000-GagaudakisRC #database #image #using #visualisation
Using CBIR and Pathfinder Networks for Image Database Visualization (GG, PLR, CC), pp. 5052–5055.
ICPRICPR-v1-2000-HeidemannLR #classification #visual notation
A System for Various Visual Classification Tasks Based on Neural Networks (GH, DL, HJR), pp. 1009–1012.
ICPRICPR-v1-2000-KampkeES #estimation #image #using
Estimation of Superresolution Images Using Causal Networks: The One-Dimensional Case (TK, AE, CS), pp. 1584–1587.
ICPRICPR-v1-2000-KrugerHS #realtime #using
Affine Real-Time Face Tracking using Gabor Wavelet Networks (VK, AH, GS), pp. 1127–1130.
ICPRICPR-v1-2000-PiaterG #learning #recognition
Feature Learning for Recognition with Bayesian Networks (JHP, RAG), pp. 1017–1020.
ICPRICPR-v2-2000-AizenbergABF #image #multi #recognition
Image Recognition on the Neural Network Based on Multi-Valued Neurons (INA, NNA, CB, EF), pp. 2989–2992.
ICPRICPR-v2-2000-BaesensVVD #feature model #optimisation
Wrapped Feature Selection by Means of Guided Neural Network Optimization (BB, SV, JV, GD), pp. 2113–2116.
ICPRICPR-v2-2000-ChenZN
Blind Separation Based on an Evolutionary Neural Network (YWC, XYZ, ZN), pp. 2973–2976.
ICPRICPR-v2-2000-FyfeL #analysis #canonical #correlation
Canonical Correlation Analysis Neural Networks (CF, PLL), pp. 2977–2980.
ICPRICPR-v2-2000-GiacconeTJ #segmentation
Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.
ICPRICPR-v2-2000-JainJV #experience #using
Short-Term Water Demand Forecasting Using Artificial Neural Networks: IIT Kanpur Experience (AJ, UCJ, AKV), pp. 2459–2462.
ICPRICPR-v2-2000-KeglKN #classification #complexity #learning
Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification (BK, AK, HN), pp. 2081–2086.
ICPRICPR-v2-2000-KimPL #design
A New Methodology to the Design of Associative Memories Based on Cellular Neural Networks (HYK, JP, SWL), pp. 2965–2968.
ICPRICPR-v2-2000-KoprinskaK #evolution #fuzzy #recognition
Evolving Fuzzy Neural Network for Camera Operations Recognition (IK, NKK), pp. 2523–2526.
ICPRICPR-v2-2000-LiG #detection #optimisation
Combining Feature Optimization into Neural Network Based Face Detection (SZL, QG), pp. 2814–2817.
ICPRICPR-v2-2000-LiuG
Outlier Rejection with MLPs and Variants of RBF Networks (JL, PDG), pp. 2680–2683.
ICPRICPR-v2-2000-LohRW #incremental #learning #named
IFOSART: A Noise Resistant Neural Network Capable of Incremental Learning (AWKL, MCR, GAWW), pp. 2985–2988.
ICPRICPR-v2-2000-MesserK #algorithm #design #performance
Fast Unit Selection Algorithm for Neural Network Design (KM, JK), pp. 2981–2984.
ICPRICPR-v2-2000-Ruiz-PinalesL #recognition #using
Cursive Handwriting Recognition Using the Hough Transform and a Neural Network (JRP, EL), pp. 2231–2234.
ICPRICPR-v2-2000-SopenaA #named #parsing
ANNP: A Neural Network Parser for Real World Texts (JMS, MAA), pp. 2969–2972.
ICPRICPR-v2-2000-StainvasI #architecture #hybrid #recognition
Blurred Face Recognition via a Hybrid Network Architecture (IS, NI), pp. 2805–2808.
ICPRICPR-v2-2000-Theera-UmponG #fault
Training Neural Networks to Count White Blood Cells via a Minimum Counting Error Objective Function (NTU, PDG), pp. 2299–2302.
ICPRICPR-v2-2000-UgenaAA #independence #recognition #speech
Speaker-Independent Speech Recognition by Means of Functional-Link Neural Networks (AU, FdA, MEA), pp. 6018–6021.
ICPRICPR-v2-2000-VillelaA #recognition #using
Object Recognition by Indexing Using Neural Networks (PRV, JHSA), pp. 6001–6004.
ICPRICPR-v2-2000-WangXD #integration #multi #recognition
A New Integration Scheme with Multi-Layer Perceptron Networks for Handwritten Chinese Character Recognition (CHW, BX, RD), pp. 2961–2964.
ICPRICPR-v2-2000-WuZZ #classification #recognition
A Neural Network Based Classifier for Handwritten Chinese Character Recognition (MW, BZ, LZ), pp. 2561–2564.
ICPRICPR-v3-2000-KimC #image #segmentation #sequence #using
Segmentation of Image Sequences Using SOFM Networks (JK, TC), pp. 3877–3880.
ICPRICPR-v3-2000-MilanovaCC #estimation
Cellular Neural Networks for Motion Estimation (MGM, ACC, MVC), pp. 3827–3830.
ICPRICPR-v3-2000-Papamarkos #reduction #using
Using Local Features in a Neural Network Based Gray-Level Reduction Technique (NP), pp. 7037–7040.
ICPRICPR-v3-2000-Sakai
A Network Mechanism for the Determination of Apparent Orientation (KS), pp. 3967–3970.
ICPRICPR-v4-2000-BareaBMLB #using
E.O.G. Guidance of a Wheelchair Using Neural Networks (RB, LB, MM, ELG, LMB), pp. 4668–4671.
ICPRICPR-v4-2000-Egmont-PetersenFNHBVR #image #multi #segmentation #using
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features (MEP, AFF, WJN, PCWH, JLB, MAV, JHCR), pp. 4080–4083.
KDDKDD-2000-WangMSW #biology #case study #classification #data mining #mining #sequence
Application of neural networks to biological data mining: a case study in protein sequence classification (JTLW, QM, DS, CHW), pp. 305–309.
KRKR-2000-Condotta
The Augmented Interval and Rectangle Networks (JFC), pp. 571–579.
KRKR-2000-Vidal #constraints
Controllability characterization and checking in Contingent Temporal Constraint Networks (TV), pp. 559–570.
KRKR-2000-Yelland #logic
An Alternative Combination of Bayesian Networks and Description Logics (PMY), pp. 225–234.
SIGIRSIGIR-2000-ManevitzY #classification #documentation #using
Document classification on neural networks using only positive examples (LMM, MY), pp. 304–306.
SIGIRSIGIR-2000-SilvaRCMZ
Link-based and content-based evidential information in a belief network model (IS, BARN, PC, ESdM, NZ), pp. 96–103.
TOOLSTOOLS-ASIA-2000-MinyiMS #mobile
Cooperative Mobile Agents in Dynamic Network Environment (WM, ZM, YS), pp. 162–167.
TOOLSTOOLS-ASIA-2000-TaoJY #adaptation #mobile #modelling #research #security #self
The Research on Dynamic Self-Adaptive Network Security Model Based on Mobile Agent (JT, LJr, QY), pp. 134–139.
TOOLSTOOLS-EUROPE-2000-McDowellS
Connecting Non-Java Devices to a Jini Network (CEM, KS), pp. 45–56.
FSEFSE-2000-DeMillo #communication #development #generative
Software development for next generation communication networks (RAD), p. 1.
SACSAC-2000-Al-Omari
Routing in Quad Tree-Hypercube Networks (MAO), pp. 677–681.
SACSAC-2000-ChenAZ
Broadcasting Under Network Ignorance Scenario (XC, HA, SZ), pp. 615–619.
SACSAC-2000-Dowell #configuration management #constraints #performance
Optimal Configuration of a Command and Control Network: Balancing Performance and Reconfiguration Constraints (LJD), pp. 94–98.
SACSAC-2000-GhiniPS #mobile
Integrating Notification Services in Computer Network and Mobile Telephony (VG, GP, PS), pp. 549–553.
SACSAC-2000-LiSBH #process
Capturing and Indexing Computer-based Activities With Virtual Network Computing (SFL, MDS, JB, AH), pp. 601–603.
SACSAC-2000-Nezu #performance
Performance of Deflection Routing in Toroidal Networks (NN), pp. 682–684.
SACSAC-2000-OkudaAIYT #flexibility #mobile
A Dynamic Flexible Grouping over COBRA-based Network and its Application to Mobile Computing (TO, SA, TI, HY, XT), pp. 692–696.
SACSAC-2000-OzakuUMI #topic
Topic Search for Intelligent Network News Reader HISHO (HO, KU, MM, HI), pp. 28–33.
SACSAC-2000-RennieLW #database #query #web
Web Access to Environmental Databases: a Database Query and Presentation System for the UK Environmental Change Network (SCR, AMJL, MW), pp. 894–897.
SACSAC-2000-RiveroDL #detection #static analysis #strict
Static Detection of Sources of Dynamic Anomalies in a Network of Referential Integrity Restrictions (LCR, JHD, DL), pp. 333–339.
SACSAC-2000-SekiTTWS #distributed
Network Integrated Supervisory Control for Power Systems Based on Distributed Objects (TS, TT, TT, HW, TS), pp. 620–626.
SACSAC-2000-SkillicornP #source code
Building Programs in the Network of Tasks Model (DBS, SP), pp. 248–254.
SACSAC-2000-WuL #clustering #fuzzy #named
F3MCNN: A Fuzzy Minimum Mean Maximum Clustering Neural Network (LGW, HL), pp. 10–14.
SACSAC-2000-ZhangP #distributed #query #using
Distributed Query Processing Using Active Networks (ZZ, WP), pp. 374–380.
ASPLOSASPLOS-2000-BhoedjangVRBH #communication #design #performance #reliability
Evaluating Design Alternatives for Reliable Communication on High-Speed Networks (RB, KV, TR, HEB, RFHH), pp. 71–81.
DACDAC-2000-YuWK #algorithm #order #reduction
Passive model order reduction algorithm based on Chebyshev expansion of impulse response of interconnect networks (QY, JMW, ESK), pp. 520–525.
DACDAC-2000-ZhaoPSECB #analysis
Hierarchical analysis of power distribution networks (MZ, RP, SSS, TE, RC, DB), pp. 150–155.
DATEDATE-2000-Maurer #logic #simulation #state machine #using
Logic Simulation Using Networks of State Machines (PMM), pp. 674–678.
HPCAHPCA-2000-CasadoBQSD #configuration management #evaluation #performance
Performance Evaluation of Dynamic Reconfiguration in High-Speed Local Area Networks (RC, AB, FJQ, JLS, JD), pp. 85–96.
HPCAHPCA-2000-ChiuehP #design #memory management
Cache Memory Design for Network Processors (TcC, PP), pp. 409–418.
HPCAHPCA-2000-StetsDKRS #memory management #order
The Effect of Network Total Order, Broadcast, and Remote-Write Capability on Network-Based Shared Memory Computing (RS, SD, LIK, UR, MLS), pp. 265–276.
HPDCHPDC-2000-AdabalaKF #clustering
Interfacing Wide-Area Network Computing and Cluster Management Software: Condor, DQS and PBS via PUNCH (SA, NHK, JABF), pp. 306–307.
HPDCHPDC-2000-AndersonC
Failure-Atomic File Access in an Interposed Network Storage System (DCA, JSC), pp. 157–164.
HPDCHPDC-2000-Anglano #comparative #evaluation
A Comparative Evaluation of Implicit Coscheduling Strategies for Networks of Workstations (CA), pp. 221–228.
HPDCHPDC-2000-BasneyL
Managing Network Resources in Condor (JB, ML), pp. 298–299.
HPDCHPDC-2000-BianchiniC #clustering
Evaluating Cluster-based Network Servers (RB, EVC), pp. 63–70.
HPDCHPDC-2000-NishiTYKA #parallel #performance
A Local Area System Network RHinet-1: A Network for High Performance Parallel Computing (HN, KT, JY, TK, HA), pp. 296–297.
HPDCHPDC-2000-SumimotoTHHTI #clustering #communication #performance #using
High Performance Communication using a Commodity Network for Cluster Systems (SS, HT, AH, HH, TT, YI), pp. 139–146.
HPDCHPDC-2000-WolskiGT #metric
Synchronizing Network Probes to Avoid Measurement Intrusiveness with the Network Weather Service (RW, BG, BT), pp. 147–154.
HPDCHPDC-2000-XiaoZK #clustering #memory management #migration #ram
Incorporating Job Migration and Network RAM to Share Cluster Memory Resources (LX, XZ, SAK), pp. 71–78.
LCTESLCTES-2000-BelloM #scheduling
Randomization-Based Approaches for Dynamic Priority Scheduling of Aperiodic Messages on a CAN Network (LLB, OM), pp. 1–18.
OSDIOSDI-2000-AndersonCV #scalability
Interposed Request Routing for Scalable Network Storage (DCA, JSC, AV), pp. 259–272.
OSDIOSDI-2000-JannottiGJKO #multi #named #reliability
Overcast: Reliable Multicasting with an Overlay Network (JJ, DKG, KLJ, MFK, JOJ), pp. 197–212.
PDPPDP-2000-KimHKSJILPPF #distributed #framework #performance
A QoS performance measure framework for distributed heterogeneous networks (JKK, DAH, TK, HJS, DSJ, CEI, TEL, NWP, VKP, RFF), pp. 18–27.
PDPPDP-2000-PuentePIGB #case study #simulation
A case study of trace-driven simulation for analyzing interconnection networks: cc-NUMAs with ILP processors (VP, JMP, CI, JÁG, RB), pp. 174–180.
FASEFASE-2000-GruerHK #design #problem #specification #using #verification
Verification of Object-Z Specifications by Using Transition Systems: Application to the Radiomobile Network Design Problem (PG, VH, AK), pp. 222–236.
STOCSTOC-2000-KempeKK #problem
Connectivity and inference problems for temporal networks (DK, JMK, AK), pp. 504–513.
STOCSTOC-2000-RasalaW #strict
Strictly non-blocking WDM cross-connects for heterogeneous networks (AR, GTW), pp. 514–523.
TACASTACAS-2000-BaukusBLS #verification
Abstracting WS1S Systems to Verify Parameterized Networks (KB, SB, YL, KS), pp. 188–203.
WRLAWRLA-2000-MasonT #maude #protocol #simulation
Simple Network Protocol Simulation within Maude (IAM, CLT), pp. 274–291.
ISSTAISSTA-2000-BhargavanGKLOSV #analysis #formal method #named #simulation
Verisim: Formal analysis of network simulations (KB, CAG, MK, IL, DO, OS, MV), pp. 2–13.
DL-1999-RauberM #library #named
SOMLib: A Digital Library System Based on Neural Networks (AR, DM), pp. 240–241.
HTHT-1999-RizzoAF
Hypertext-Like Structures Through a SOM Network (RR, MA, GF), pp. 71–72.
HTHT-1999-Whitehead #hypermedia
Control Choices and Network Effects in Hypertext Systems (EJWJ), pp. 75–82.
ICDARICDAR-1999-ChoiO #recognition #using
A Segmentation-free Recognition of Two Touching Numerals using Neural Network (SMC, ISO), pp. 253–256.
ICDARICDAR-1999-LiuN #recognition #using
Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training (CLL, MN), pp. 257–260.
ICDARICDAR-1999-StockerRL #classification #problem #self
Self-organized Classification Problem Solving with Yprel Neural Networks (ES, AR, YL), pp. 390–393.
ICDARICDAR-1999-WuS #classification #distance #multi #recognition #using
Unconstrained Handwritten Numeral Recognition using Hausdorff Distance and Multi-Layer Neural Network Classifier (XW, PS), pp. 249–252.
SIGMODSIGMOD-1999-JagadishLMSV #query
Querying Network Directories (HVJ, LVSL, TM, DS, DV), pp. 133–144.
VLDBVLDB-1999-BrodieC
Issues in Network Management in the Next Millennium (MLB, SC), p. 198.
ITiCSEITiCSE-1999-ChiuHCL #collaboration #concept #interactive #process
Interaction processes in network supported collaborative concept mapping (CHC, CCH, WTC, THL), pp. 75–78.
ITiCSEITiCSE-1999-PutSZ #student #using
The system of checking students’ knowledge with the use of wide area networks (DP, JS, MZ), p. 192.
CHICHI-1999-ToyodaS #editing #interface #multi #navigation #perspective #predict
Hyper Mochi Sheet: A Predictive Focusing Interface for Navigating and Editing Nested Networks Through a Multi-Focus Distortion-Oriented View (MT, ES), pp. 504–511.
HCIHCI-CCAD-1999-ContractorBZ #case study #community #named
PrairieKNOW: a tool to assist the study, creation, and growth of community networks (NSC, APB, DZ), pp. 447–451.
HCIHCI-CCAD-1999-Danielsson #learning
Learning in networks (UD), pp. 407–411.
HCIHCI-CCAD-1999-KohnoMNA
A sensor network system for human support in living environments (MK, MM, HN, YA), pp. 241–245.
HCIHCI-CCAD-1999-Niemeier #web #web service
Networking Companies: from basic web services to business solutions (JN), pp. 467–471.
HCIHCI-CCAD-1999-OgiYH #named
CABINet: networking of immersive projection environment (TO, TY, MH), pp. 1025–1029.
HCIHCI-CCAD-1999-Seufert #learning #named
PLATO — “electronic cookbook” for Internet-based learning networks (SS), pp. 707–711.
HCIHCI-CCAD-1999-Tielsch #health #interface #safety
Call center — interface between companies’ practice and the competence network of safety and health at work in North-Rhine-Westfalia (RT), pp. 1332–1336.
HCIHCI-CCAD-1999-VuongN #framework #platform
Network centric computing platform — the contribution of telcos to networking companies (TAV, JN), pp. 472–476.
HCIHCI-CCAD-1999-Wirth #case study #monitoring #visualisation
Maximizing data density: a case study of visualization in network monitoring (JW), pp. 127–131.
HCIHCI-EI-1999-Biagioni #communication #distance
Asynchronous and Distance Communication Over Digital Networks (ESB), pp. 851–855.
ICEISICEIS-1999-AnwarY #database #design #implementation #object-oriented
Design and Implementation of an Object-Oriented Road Network Database (MAA, TY), pp. 7–14.
ICEISICEIS-1999-BarjisD #analysis #modelling #process #using
Business Process Modelling and Analysis Using GERT Networks (JB, JLGD), pp. 748–758.
ICEISICEIS-1999-Habrant #database #learning #predict #search-based
Structure Learning of Bayesian Networks from Databases by Genetic Algorithms-Application to Time Series Prediction in Finance (JH), pp. 225–231.
ICEISICEIS-1999-JungBP #agile #framework #implementation #protocol #prototype
Implementing Network Protocols in Java-A Framework for Rapid Prototyping (MJ, EB, AP), pp. 649–656.
ICEISICEIS-1999-JunHSKP #performance #protocol
An Efficient Protocol for Radio Packet Networks (ARJ, SJH, HSS, GHK, MSP), pp. 642–648.
ICEISICEIS-1999-LinyingSD #image #segmentation
Neural Networks for X-Ray Image Segmentation (SL, BS, DND), pp. 264–271.
ICEISICEIS-1999-LopesO
Software Agents in Network Management (RPL, JLO), pp. 674–681.
ICEISICEIS-1999-Orozco-Barbosa #implementation #performance #video
Video Communications Over IP/ATM Networks Implementation Issues and Performance (LOB), pp. 577–584.
ICEISICEIS-1999-PeixotoD #architecture #development
Base Architecture for Network Application Development (CSAP, BMD), p. 789.
ICEISICEIS-1999-Pinto #distributed #framework #overview #platform
Distributed Networking Computer Model: SUNs JINI as an Advance in the Technology-An Overview of Javas Distributed Platform (HJPBPP), p. 790.
ICEISICEIS-1999-ReisM #what
What’s in a Node?-Nodes and Agents in Logistic Networks (JR, NJM), pp. 285–291.
ICEISICEIS-1999-ShinKHJKP
Client Cache-Index Forwarding for Reducing Network Traffic over Wireless Network for the WWW (HSS, GHK, SJH, ARJ, GHK, MSP), pp. 717–724.
KDDKDD-1999-DaviesM #dataset
Bayesian Networks for Lossless Dataset Compression (SD, AWM), pp. 387–391.
KDDKDD-1999-LeeSM #data flow #detection #experience #mining
Mining in a Data-Flow Environment: Experience in Network Intrusion Detection (WL, SJS, KWM), pp. 114–124.
KDDKDD-1999-Potts
Generalized Additive Neural Networks (WJEP), pp. 194–200.
MLDMMLDM-1999-ImiyaK
A Dynamics of the Hough Transform and Artifical Neural Networks (AI, KK), pp. 36–50.
MLDMMLDM-1999-JacobsenZP #comparison
A Comparison between Neural Networks and Decision Trees (CJ, UZ, PP), pp. 144–158.
MLDMMLDM-1999-MilanovaAOS #problem
Applications of Celluar Neural Networks for Shape from Shading Problem (MGM, PEMA, JOJ, MGS), pp. 51–63.
MLDMMLDM-1999-ReczkoKMGO #estimation #image
Neural Networks in MR Image Estimation from Sparsely Sampled Scans (MR, DAK, VM, DGD, DvO), pp. 75–86.
SIGIRSIGIR-1999-LeeD
Context-Sensitive Vocabulary Mapping with a Spreading Activation Network (JL, DD), pp. 198–205.
ECOOPECOOP-1999-Waldo #object-oriented #programming
Object-Oriented Programming on the Network (JW), pp. 441–448.
TOOLSTOOLS-ASIA-1999-HuangCCP #api #java
A Java Networking API for ATM Networks (ZH, SC, KMVC, MKP), pp. 306–315.
TOOLSTOOLS-ASIA-1999-PeriorellisD #approach #modelling
Modeling Dynamic Networks: Advantages and Limitations of the O-O Approach (PP, JED), pp. 448–457.
TOOLSTOOLS-ASIA-1999-ShenLG #graph #object-oriented
An Object-Oriented Net Graph Model for Agent Group-Based Network Management (JS, JL, GG), pp. 126–132.
TOOLSTOOLS-EUROPE-1999-ZarazagaVCNM #case study #experience #information management #named #object-oriented
TRUNIS: An Object Oriented Trunking Radio Telephone Network Information System. An Experience Report (FJZ, JV, SC, JNI, PRMM), pp. 251–260.
AdaEuropeAdaEurope-1999-Tuosto #ada #coordination #implementation
An Ada95 Implementation of a Network Coordination Language with Code Mobility (ET), pp. 199–210.
ASEASE-1999-Kreuer #automation #case study #testing
Applying Test Automation to Type Acceptance Testing of Telecom Networks: A Case Study with Customer Participation (DK), pp. 216–223.
SACSAC-1999-BoudrigaHO #integration #mobile
Intelligent Services Integration in Mobile ATM Networks (NB, OH, MSO), pp. 91–97.
SACSAC-1999-CaoD #fault tolerance #multi
Fault-Tolerant Routing and Multicasting in Butterfly Networks (FC, DZD), pp. 455–460.
SACSAC-1999-CremoniniOZ #framework #interactive #mobile #modelling
Modelling Network Topology and Mobile Agent Interaction: An Integrated Framework (MC, AO, FZ), pp. 410–412.
SACSAC-1999-HarwoodS #low cost
A Method of Trading Diameter for Reduced Degree to Construct Low Cost Interconnection Networks (AH, HS), pp. 474–480.
SACSAC-1999-JonesK #algorithm #search-based #using
The Use of Genetic Algorithms and Neural Networks to Investigate the Baldwin Effect (MJ, AHK), pp. 275–279.
SACSAC-1999-NezuL #design #modelling #specification
Modeling Deflection Networks: Design and Specification (NN, HL), pp. 66–73.
SACSAC-1999-RowMAW #linux #security
Security Issues in Small Linux Networks (WMR, DJM, BLA, AHW), pp. 506–510.
DACDAC-1999-Arnold #architecture #flexibility
The Jini Architecture: Dynamic Services in a Flexible Network (KA), pp. 157–162.
DACDAC-1999-Bergamaschi #behaviour #graph #logic #synthesis
Behavioral Network Graph: Unifying the Domains of High-Level and Logic Synthesis (RAB), pp. 213–218.
DACDAC-1999-TanSLLY #linear #optimisation #sequence
Reliability-Constrained Area Optimization of VLSI Power/Ground Networks via Sequence of Linear Programmings (XDT, CJRS, DL, JCL, LPY), pp. 78–83.
HPCAHPCA-1999-RheeL #scalability
A Scalable Cache Coherent Scheme Exploiting Wormhole Routing Networks (YR, JL), pp. 223–226.
HPCAHPCA-1999-YangW #performance
Efficient All-to-All Broadcast in All-Port Mesh and Torus Networks (YY, JW), pp. 290–299.
HPDCHPDC-1999-CoadyOF #clustering #embedded #memory management #using
Using Embedded Network Processors to Implement Global Memory Management in a Workstation Cluster (YC, JSO, MJF), pp. 319–328.
HPDCHPDC-1999-CruzP #dependence #maintenance #named
DUNES: A Performance-Oriented System Support Environment for Dependency Maintenance in Workstation Networks (JC, KP), pp. 309–318.
HPDCHPDC-1999-ImaiSIK #corba #named #performance
CrispORB: High Performance CORBA for System Area Network (YI, TS, TI, MK), pp. 11–18.
HPDCHPDC-1999-LowekampOG #distributed #query
Direct Queries for Discovering Network Resource Properties in a Distributed Environment (BL, DRO, TRG), pp. 38–46.
PDPPDP-1999-AllisonBS #architecture #performance
A replicated resource architecture for high performance network service (CA, MB, JS), pp. 105–111.
PDPPDP-1999-ClematisDG #resource management
A resource management tool for heterogeneous networks (AC, GD, VG), pp. 367–373.
PDPPDP-1999-DaneseLL #parallel
A parallel processor for neural networks (GD, IDL, FL), pp. 89–96.
PDPPDP-1999-LopezADZ #design #optimisation #robust #throughput
Optimizing network throughput: optimal versus robust design (PL, RA, JD, LZ), pp. 45–52.
PPoPPPPoPP-1999-MainwaringC #challenge #communication #design #performance
Design Challenges of Virtual Networks: Fast, General-Purpose Communication (AMM, DEC), pp. 119–130.
PPoPPPPoPP-1999-SubhlokLL #automation #performance
Automatic Node Selection for High Performance Applications on Networks (JS, PL, BL), pp. 163–172.
SOSPSOSP-1999-AronD #performance
Soft timers: efficient microsecond software timer support for network processing (MA, PD), pp. 232–246.
SOSPSOSP-1999-Wetherall
Active network vision and reality: lessions form a capsule-based system (DW), pp. 64–79.
STOCSTOC-1999-DodisK #bound #design #distance
Design Networks with Bounded Pairwise Distance (YD, SK), pp. 750–759.
STOCSTOC-1999-Gamarnik #adaptation #policy
Stability of Adaptive and Non-Adaptive Packet Routing Policies in Adversarial Queueing Networks (DG), pp. 206–214.
STOCSTOC-1999-GoelHPT #data transfer #problem #scheduling #set
Scheduling Data Transfers in a Network and the Set Scheduling Problem (AG, MRH, SAP, ÉT), pp. 189–197.
STOCSTOC-1999-MuthukrishnanPSS #grid #multi
Compact Grid Layouts of Multi-Level Networks (SM, MP, SCS, TS), pp. 455–463.
DL-1998-ChungPS #automation #using
Automatic Subject Indexing Using an Associative Neural Network (YMC, WMP, BRS), pp. 59–68.
TPDLECDL-1998-LakoumentasP
Intellectual Property Right and the Global Information Network (NKL, ENP), pp. 833–838.
TPDLECDL-1998-TorakiK #library
The Technical Chamber of Greece Digital Library: The Vision of a Special Organisation to Save and Disseminate Its Information Work Through the Network (KT, SK), pp. 691–692.
SIGMODSIGMOD-1998-RamakrishnanD
The PointCast Network (SR, VD), p. 520.
VLDBVLDB-1998-LakshmiZ #approach #database #estimation
Selectivity Estimation in Extensible Databases — A Neural Network Approach (MSL, SZ), pp. 623–627.
CSEETCSEET-1998-Hislop #education #learning
Teaching Via Asynchronous Learning Networks (GWH), pp. 16–35.
ICALPICALP-1998-ChaudhuriSWZ
Computing Mimicking Networks (SC, KVS, FW, CDZ), pp. 556–567.
ICALPICALP-1998-CookFMSS
Low-Bandwidth Routing and Electrical Power Networks (DC, VF, MVM, AS, YJS), pp. 604–615.
ICALPICALP-1998-Gargano
Limited Wavelength Conversion in All-Optical Tree Networks (LG), pp. 544–555.
ICFPICFP-1998-HicksKMGN #named
PLAN: A Packet Language for Active Networks (MWH, PK, JTM, CAG, SN), pp. 86–93.
CAiSECAiSE-1998-PapazoglouM #multi
Content-Based Organization of the Information Space in Multi-Database Networks (MPP, SM), pp. 251–272.
CIKMCIKM-1998-FinanceDR #query
Querying Future Telecommunication Networks (BF, TD, AR), pp. 226–233.
ICMLICML-1998-FriedmanGL #classification #parametricity
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting (NF, MG, TJL), pp. 179–187.
ICMLICML-1998-RamachandranM #refinement
Theory Refinement of Bayesian Networks with Hidden Variables (SR, RJM), pp. 454–462.
ICMLICML-1998-Street #predict
A Neural Network Model for Prognostic Prediction (WNS), pp. 540–546.
ICPRICPR-1998-Aladjem #classification #ml #recursion #reduction
Training of a ML neural network for classification via recursive reduction of the class separation (MA), pp. 450–452.
ICPRICPR-1998-BreukelenD #classification
Neural network initialization by combined classifiers (MvB, RPWD), pp. 215–218.
ICPRICPR-1998-ChenC #performance #recursion #representation
Recursive representation and progressive display of binary objects for efficient network browsing (IPC, ZC), pp. 395–399.
ICPRICPR-1998-HanKKL #probability #segmentation
Temporal segmentation and selective attention in the stochastic oscillator neural network (SKH, WSK, HK, SWL), pp. 259–261.
ICPRICPR-1998-KeeniNS #automation #classification #estimation #generative #using
Automatic generation of initial weights and estimation of hidden units for pattern classification using neural networks (KK, KN, HS), pp. 1568–1571.
ICPRICPR-1998-KeglKN #classification #learning #parametricity
Radial basis function networks in nonparametric classification and function learning (BK, AK, HN), pp. 565–570.
ICPRICPR-1998-KimuraIWTM #recognition #using
Handwritten numeral recognition using autoassociative neural networks (FK, SI, TW, ST, YM), pp. 166–171.
ICPRICPR-1998-LimC #database #generative #multi
Neural network based feature space generation for multiple databases of handwritten numerals (KTL, SIC), pp. 375–377.
ICPRICPR-1998-MaioM98a
Neural network based minutiae filtering in fingerprints (DM, DM), pp. 1654–1658.
ICPRICPR-1998-OrnesDS #visual notation
A visual neural network that learns perceptual relationships (CO, AD, JS), pp. 873–875.
ICPRICPR-1998-ShaoF
Network vision (JS, CSF), pp. 747–750.
KRKR-1998-Jaeger #infinity #random #reasoning #relational
Reasoning About Infinite Random Structures with Relational Bayesian Networks (MJ), pp. 570–581.
TOOLSTOOLS-ASIA-1998-PeriorellisBS #dependence #enterprise #modelling #object-oriented #paradigm #using
Modeling Enterprise Dependency Networks Using an Object Oriented Paradigm (PP, AB, PS), p. 148–?.
REICRE-1998-LingerML #requirements
Requirements Definition for Survivable Network Systems (RCL, NRM, HFL), pp. 14–23.
ICSEICSE-1998-BaldiP #design #mobile #paradigm #trade-off
Evaluating the Tradeoffs of Mobile Code Design Paradigms in Network Management Applications (MB, GPP), pp. 146–155.
SACSAC-1998-Al-OmariA #algorithm
Routing algorithms for tree-hypercube networks (MAO, HAS), pp. 85–89.
SACSAC-1998-GaberT #distributed #random
Randomized load distribution of arbitrary trees in distributed networks (JG, BT), pp. 564–568.
SACSAC-1998-HashemiTTSP #approach #development
The development of profiles for children with attention deficit disorder and monkeys: a neural network approach (RRH, MST, AAT, WS, MGP), pp. 55–59.
SACSAC-1998-MurthyK #modelling #programming #tool support
Integrated network computing models, programming modes and software tools (VKM, EVK), pp. 551–557.
SACSAC-1998-NezuL #incremental
Incremental construction of torus networks (NN, HL), pp. 80–84.
SACSAC-1998-Shen #estimation
Average diameter of network structures and its estimation (ZS), pp. 593–597.
SACSAC-1998-Sibai98a #low cost #multi #scalability
The hyper-ring network: a cost-efficient topology for scalable multicomputers (FNS), pp. 607–612.
ASPLOSASPLOS-1998-ChenBDDL #interface #named
UTLB: A Mechanism for Address Translation on Network Interfaces (YC, AB, SND, CD, KL), pp. 193–204.
ASPLOSASPLOS-1998-PaiABSDZN #clustering
Locality-Aware Request Distribution in Cluster-based Network Servers (VSP, MA, GB, MS, PD, WZ, EMN), pp. 205–216.
DACDAC-1998-DharchoudhuryPBVTB #analysis #design
Design and Analysis of Power Distribution Networks in PowerPC Microprocessors (AD, RP, DB, RV, BT, DB), pp. 738–743.
DACDAC-1998-OhP #design #multi
Multi-Pad Power/Ground Network Design for Uniform Distribution of Ground Bounce (JO, MP), pp. 287–290.
DACDAC-1998-Yuan #modelling #simulation
Electromagnetic Modeling and Signal Integrity Simulation of Power/Ground Networks in High Speed Digital Packages and Printed Circuit Boards (FYY), pp. 421–426.
DATEDATE-1998-BolchiniSS #analysis #concurrent #detection #fault
Fault Analysis in Networks with Concurrent Error Detection Properties (CB, FS, DS), pp. 957–958.
DATEDATE-1998-EpplerFGM #energy #physics
High Speed Neural Network Chip for Trigger Purposes in High Energy Physics (WE, TF, HG, AM), pp. 108–115.
HPCAHPCA-1998-LangendoenHB #performance
Challenging Applications on Fast Networks (KL, RFHH, HEB), pp. 68–79.
HPCAHPCA-1998-LopezMD #concurrent #detection #distributed #performance
A Very Efficient Distributed Deadlock Detection Mechanism for Wormhole Networks (PL, JMM, JD), pp. 57–66.
HPCAHPCA-1998-MogaD #clustering #effectiveness
The Effectiveness of SRAM Network Caches in Clustered DSMs (AM, MD), pp. 103–112.
HPCAHPCA-1998-MukherjeeH #data transfer #design #interface
The Impact of Data Transfer and Buffering Alternatives on Network Interface Design (SSM, MDH), pp. 207–218.
HPCAHPCA-1998-SchoinasH #interface
Address Translation Mechanisms In Network Interfaces (IS, MDH), pp. 219–230.
HPDCHPDC-1998-McRobbieMAGPRWW #education #performance #research
Global High Performance Networking: Connecting the vNBS and the Asia-Pacific Advanced Network for Research and Education Applications (MAM, DFM, KHA, DG, DDP, RAR, SSW, JGW), pp. 252–259.
HPDCHPDC-1998-NaikTC #algorithm #distributed #named #object-oriented
NETMAN: An Object-Oriented Environment for Experimenting Distributed Algorithms on a Network of Workstations (KN, YT, ZC), pp. 350–351.
LCTESLCTES-1998-KollochF #case study #embedded #realtime #specification
Mapping an Embedded Hard Real-Time Systems SDL Specification to an Analyzable Task Network — A Case Study (TK, GF), pp. 156–165.
PDPPDP-1998-Allison #clustering
Virtual networks and QoS for cluster computing (CA), pp. 127–132.
PDPPDP-1998-CarrionIGVB #concurrent
Ghost packets: a deadlock-free solution for k-ary n-cube networks (CC, CI, JAG, FV, RB), pp. 133–139.
PDPPDP-1998-ClematisCS #algorithm #parallel
Developing non-local iterative parallel algorithms for GIS on a workstation network (AC, AC, MS), pp. 250–256.
PDPPDP-1998-Duato #adaptation #concurrent
Deadlock avoidance and adaptive routing in interconnection networks (JD), pp. 359–364.
PDPPDP-1998-FernandezA #architecture #memory management #multi #named
COMA-BC: a cache only memory architecture multicomputer for non-hierarchical common bus networks (BSF, JAIA), pp. 502–508.
PDPPDP-1998-RodriguezAM #algorithm #parallel #performance #predict #using
Prediction of parallel algorithms performance on bus-based networks using PVM (RJR, CA, DM), pp. 57–63.
PDPPDP-1998-SanchezDG #configuration management #pipes and filters #using
Using channel pipelining in reconfigurable interconnection networks (JLS, JD, JMG), pp. 120–126.
PDPPDP-1998-SandkuhlNML
Redesigning CSCW-systems for network computing-experience from the HotCon project (KS, LN, SM, PL), pp. 318–324.
FASEFASE-1998-ReedJDR #analysis #automation #formal method #modelling
Automated Formal Analysis of Networks: FDR Models of Arbitrary Topologies and Flow-Control Mechanisms (JNR, DMJ, BD, GMR), pp. 239–254.
STOCSTOC-1998-AndrewsZ
Stability Results for Networks with Input and Output Blocking (MA, LZ), pp. 369–377.
STOCSTOC-1998-Bar-NoyGNS #multi
Multicasting in Heterogeneous Networks (ABN, SG, JN, BS), pp. 448–453.
STOCSTOC-1998-ColeMHMRSSV #multi #protocol #random
Randomized Protocols for Low Congestion Circuit Routing in Multistage Interconnection Networks (RC, BMM, FMadH, MM, AWR, KS, RKS, BV), pp. 378–388.
TACASTACAS-1998-AbdullaJ #process #verification
Verifying Networks of Timed Processes (PAA, BJ), pp. 298–312.
ICTSSIWTCS-1998-GuiagoussouK #testing
TMN and Telecommunication Networks Testing (MG, MK), pp. 17–34.
LICSLICS-1998-Jaeger #convergence #relational
Convergence Results for Relational Bayesian Networks (MJ), pp. 44–55.
LICSLICS-1998-StarkS #analysis #automaton #composition #probability
Compositional Analysis of Expected Delays in Networks of Probabilistic I/O Automata (EWS, SAS), pp. 466–477.
TPDLECDL-1997-ChristophidesDF #approach #documentation #repository #semantics
A Semantic Network Approach to Semi-Structured Documents Repositories (VC, MD, IF), pp. 305–324.
HTHT-1997-ChelnokovZ #hypermedia
Collective Phenomena in Hypertext Networks (VMC, VLZ), pp. 220–221.
ICDARICDAR-1997-AminM #recognition #using
Recognition of Printed Arabic Text Using Neural Networks (AA, WM), pp. 612–615.
ICDARICDAR-1997-EigenmannN #evaluation #multi
Modification of Hard-Limiting Multilayer Neural Networks for Confidence Evaluation (RE, JAN), pp. 1087–1091.
ICDARICDAR-1997-GalindoF #diagrams #representation
Perceptually-Based Representation of Network Diagrams (DG, CF), pp. 352–356.
ICDARICDAR-1997-KeeniSN #distributed #on the #representation #using
On Distributed Representation of Output Layer for Recognizing Japanese Kana characters Using Neural Networks (KK, HS, KN), pp. 600–603.
ICDARICDAR-1997-MarianiDLM #algorithm
Algorithms for the Hydrographic Network Names Association on Geographic Maps (RM, MPD, JL, RM), p. 362.
ICDARICDAR-1997-NgC #image
Artificial Neural Network for Discrete Cosine Transform and Image Compression (KSN, LMC), pp. 675–678.
SIGMODSIGMOD-1997-Arpaci-DusseauACHP #sorting
High-Performance Sorting on Networks of Workstations (ACAD, RHAD, DEC, JMH, DAP), pp. 243–254.
VLDBVLDB-1997-KumarKA #framework #named #process #transaction
Caprera: An Activity Framework for Transaction Processing on Wide-Area Networks (SK, EKK, DA), pp. 585–589.
VLDBVLDB-1997-LockemannKKKN #challenge #database #legacy
The Network as a Global Database: Challenges of Interoperability, Proactivity, Interactiveness, Legacy (PCL, UK, AK, RK, RN, MW, HDW), pp. 567–574.
VLDBVLDB-1997-StathatosRB #adaptation #hybrid
Adaptive Data Broadcast in Hybrid Networks (KS, NR, JSB), pp. 326–335.
ITiCSEITiCSE-1997-DixonMK #education #simulation #using
Using a network simulation package to teach the client-server model (MWD, TJM, JMK), pp. 71–73.
ICSMEICSM-1997-Ghezzi #re-engineering
Software Engineering Issues for Network Computing (CG), p. 2.
ICALPICALP-1997-BartalL #online
On-Line Routing in All-Optical Networks (YB, SL), pp. 516–526.
ICALPICALP-1997-EilamFZ #layout #problem
A Complete Characterization of the Path Layout Construction Problem for ATM Networks with Given Hop Count and Load (TE, MF, SZ), pp. 527–537.
FMFME-1997-MartinJ #analysis #concurrent #performance #process #scalability
An Efficient Technique for Deadlock Analysis of Large Scale Process Networks (JMRM, SAJ), pp. 418–441.
CHICHI-1997-GentnerLR
Simplified Applications for Network Computers (DG, FL, CR), pp. 439–446.
CHICHI-1997-MynattAIO #community #design
Design for Network Communities (EDM, AA, MI, VLO), pp. 210–217.
CHICHI-1997-WoodDA #automation #integration #named
CyberDesk: Automated Integration of Desktop and Network Services (AW, AKD, GDA), pp. 552–553.
HCIHCI-CC-1997-Pejtersen #approach #communication #information retrieval #semantics
A Cognitive Engineering Approach to Cross Disciplinary Exploration of Work Domains and Semantic Information Retrieval in Communication Networks (AMP), pp. 69–72.
HCIHCI-CC-1997-SakairiS #named
Helen: A Shared Chalkboard for Low-Bandwidth Networks (TS, MS), pp. 15–18.
HCIHCI-SEC-1997-Kazemian #flexibility
Networking and Urban Forms in the Electronic Age-Towards Flexible Location Decisions in Stockholm (RK), pp. 605–608.
HCIHCI-SEC-1997-LucasMP #interface #re-engineering
Re-Engineering a Complex Network Interface (ML, JFM, CP), pp. 771–774.
HCIHCI-SEC-1997-OhtaA #overview
A Sensor Network Management System-An Overview and Example (MO, YA), pp. 197–200.
HCIHCI-SEC-1997-PattersonD #communication #industrial #multi #tool support #usability
Evaluating the Usability of Application Tools in Transferring Multimedia Information Across ATM Communication Networks Within the Fashion Industry in Europe (GP, RD), pp. 767–770.
HCIHCI-SEC-1997-ShimadaYA
A Fundamental Mechanism of Intelligent Sensor-Actuator Networks (SS, YY, YA), pp. 201–204.
HCIHCI-SEC-1997-SinghSD #community
A Model of the Informational Affordances of Media Spaces in Community Networks (DTS, PPS, JD), pp. 819–822.
CAiSECAiSE-1997-KlimathianakisL #named #repository
DELOS — A Repository Based Environment for Developing Network Centric Applications (PK, PL), pp. 375–388.
EDOCEDOC-1997-FujisakiHK #distributed #fault tolerance #scalability #using
A Scalable Fault-Tolerant Network Management System Built Using Distributed Object Technology (TF, MH, KK), pp. 140–148.
EDOCEDOC-1997-HamadaHRLKH #architecture #quality
Service quality in TINA-quality of service trading in open network architecture (TH, SH, JR, CL, LK, PFH), pp. 322–333.
ECIRACIR-1997-Marsh #community
A Community of Autonomous Agents for the Search and Distribution of Information in Networks (SM).
CIKMCIKM-1997-ChengBL #approach #learning
Learning Belief Networks from Data: An Information Theory Based Approach (JC, DAB, WL), pp. 325–331.
ICMLICML-1997-Friedman #learning
Learning Belief Networks in the Presence of Missing Values and Hidden Variables (NF), pp. 125–133.
ICMLICML-1997-Opitz #approach #component #effectiveness
The Effective Size of a Neural Network: A Principal Component Approach (DWO), pp. 263–271.
TOOLSTOOLS-ASIA-1997-HungLC #experience #using
An Experience of Using FDOOA Method to Develop a Telecommunications Network Management System (YSH, WCL, CGC), pp. 320–329.
POPLPOPL-1997-Halbwachs #automation #linear #process #verification
Automatic Verification of Parameterized Linear Networks of Processes (DL, NH, PR), pp. 346–357.
AdaTRI-Ada-1997-Gonzalez-BarahonaCQBL #ada #education #programming
Teaching Network Programming with Ada and Lower_Layer (JMGB, JCG, PdlHQ, FJBC, LLF), pp. 105–110.
AdaTRI-Ada-1997-Kienzle #ada
Network Applications in Ada 95 (JK), pp. 3–9.
SACSAC-1997-ChoiK #multi
Hierarchical multistage interconnection network for shared-memory multiprocessor system (ChC, SCK), pp. 468–472.
SACSAC-1997-GhoshGP #protocol
Fault-containing network protocols (SG, AG, SVP), pp. 431–437.
SACSAC-1997-HaraHTN
Location Management Methods of Migratory Data Resources in ATM Networks (TH, KH, MT, SN), pp. 123–130.
SACSAC-1997-KhasawnehO #evaluation #protocol
An evaluation study of protocols used in cable TV networks (RMK, MSO), pp. 52–57.
SACSAC-1997-LewisSZ #performance #retrieval #scalability
Scaling of neural network inferencing by efficient storage and retrieval of outputs (BL, AS, JZ), pp. 10–14.
SACSAC-1997-LiKI
Balanced assignment of cells in PCS networks (JL, HK, HI), pp. 297–301.
SACSAC-1997-Sibai #communication #multi
Multi-node communication in hyper-ring networks (FNS), pp. 380–383.
SACSAC-1997-Sibai97b #distributed #recursion
Distributed routing in the recursive diamond network (FNS), pp. 389–392.
DACDAC-1997-ElfadelL #modelling
Zeros and Passivity of Arnoldi-Reduced-Order Models for Interconnect Networks (IME, DDL), pp. 28–33.
DACDAC-1997-Gebotys #energy #memory management #using
Low Energy Memory and Register Allocation Using Network Flow (CHG), pp. 435–440.
DACDAC-1997-KernsY #congruence #reduction
Preservation of Passivity During RLC Network Reduction via Split Congruence Transformations (KJK, ATY), pp. 34–39.
DACDAC-1997-KuoC #approach #clustering
A Network Flow Approach for Hierarchical Tree Partitioning (MTK, CKC), pp. 512–517.
DACDAC-1997-PantDC #energy #logic #optimisation #power management #random
Device-Circuit Optimization for Minimal Energy and Power Consumption in CMOS Random Logic Networks (PP, VD, AC), pp. 403–408.
DACDAC-1997-YeR #algorithm #graph #synthesis
A Graph-Based Synthesis Algorithm for AND/XOR Networks (YY, KR), pp. 107–112.
DATEEDTC-1997-BeniniMMPS #logic #optimisation #synthesis
Symbolic synthesis of clock-gating logic for power optimization of control-oriented synchronous networks (LB, GDM, EM, MP, RS), pp. 514–520.
DATEEDTC-1997-BolchiniSS #design #novel
A novel methodology for designing TSC networks based on the parity bit code (CB, FS, DS), pp. 440–444.
DATEEDTC-1997-RiescoDMCSJ #multi #on the
On the way to the 2.5 Gbits/s ATM network ATM multiplexer demultiplexer ASIC (JR, JCD, LAM, JLC, CS, EJM), pp. 218–222.
HPCAHPCA-1997-DaoYD #architecture #communication #multi
Architectural Support for Reducing Communication Overhead in Multiprocessor Interconnection Networks (BVD, SY, JD), pp. 343–352.
HPCAHPCA-1997-KesavanBP #multi
Multicast on Irregular Switch-Based Networks with Wormhole Routing (RK, KB, DKP), pp. 48–57.
HPCAHPCA-1997-RavindranS #comparison #multi #performance
A Performance Comparison of Hierarchical Ring- and Mesh-Connected Multiprocessor Networks (GR, MS), pp. 58–69.
HPCAHPCA-1997-WelshBE #communication #interface #performance
ATM and Fast Ethernet Network Interfaces for User-Level Communication (MW, AB, TvE), pp. 332–342.
HPCAHPCA-1997-YuanMG #algorithm #distributed #multi
Distributed Path Reservation Algorithms for Multiplexed All-Optical Interconnection Networks (XY, RGM, RG), pp. 38–47.
HPDCHPDC-1997-ChalasaniR #parallel
Parallel FFT on ATM-based Networks of Workstations (SC, PR), pp. 2–11.
HPDCHPDC-1997-DasSJA #mobile
Cellular Mobile Networks (SKD, SKS, RJ, PA), pp. 254–263.
HPDCHPDC-1997-KimL #distributed #parallel
Utilizing Heterogeneous Networks in Distributed Parallel Computing Systems (JK, DJL), pp. 336–345.
HPDCHPDC-1997-RosuSF #approach #clustering #interface #parallel
Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach (MCR, KS, RF), pp. 159–168.
HPDCHPDC-1997-SiuS #design pattern #parallel #using
Design Patterns for Parallel Computing using a Network of Processors (SS, AS), pp. 293–304.
HPDCHPDC-1997-SteeleDKL #interface #multi
A Bus-Efficient Low-Latency Network Interface for the PDSS Multicomputer (CSS, JTD, JK, CL), pp. 213–222.
HPDCHPDC-1997-Wolski #performance #scheduling #using
Forecasting Network Performance to Support Dynamic Scheduling using the Network Weather Service (RW), pp. 316–325.
PDPPDP-1997-ChiolaC #low cost #named
GAMMA: A low-cost network of workstations based on active messages (GC, GC), pp. 78–83.
PDPPDP-1997-DesaiG #polynomial
Generalized cubic networks (KRD, KG), pp. 116–126.
PDPPDP-1997-Ojeda-GuerraS #equation #linear
Solving linear systems of equations overlapping communications and computations in torus networks (CNOG, ÁS), pp. 453–460.
PDPPDP-1997-Ould-KhaouaSM #multi
A traffic-balanced interconnection network for multicomputers (MOK, RS, LMM), pp. 93–99.
PDPPDP-1997-PuenteSHH #parallel #simulation
Parallel simulation for queueing networks on multiprocessor systems (FdlPA, JDSG, PHM, FH), pp. 240–245.
SOSPSOSP-1997-FoxGCB #clustering #scalability
Cluster-Based Scalable Network Services (AF, SDG, YC, EAB, PG), pp. 78–91.
SOSPSOSP-1997-StetsDHHKPS #clustering #memory management #named
Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network (RS, SD, NH, GCH, LIK, SP, MLS), pp. 170–183.
TACASTACAS-1997-EngelsFM #generative #model checking #testing #using
Test Generation for Intelligent Networks Using Model Checking (AE, LMGF, SM), pp. 384–398.
CAVCAV-1997-Sistla #automaton #invariant #linear #using #verification
Parametrized Verification of Linear Networks Using Automata as Invariants (APS), pp. 412–423.
HTHT-1996-WeissVSNSDG #clustering #hypermedia #named
HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering (RW, BV, MAS, CN, PS, AD, DKG), pp. 180–193.
VLDBVLDB-1996-Sullivan #analysis #database #named
Tribeca: A Stream Database Manager for Network Traffic Analysis (MS), p. 594.
ITiCSEITiCSE-1996-Hartley #education #hypermedia #operating system #using
A hypermedia lab manual for operating systems: using the network to teach (SJH), pp. 8–10.
ITiCSEITiCSE-1996-Jacker #documentation #monitoring #named #tool support
Tkined/scotty: tools for network documentation, monitoring and troubleshooting (KHJ), p. 233.
ITiCSEITiCSE-1996-JacksonM #algorithm #animation
Algorithm animation of neural networks (DJ, IGM), pp. 39–41.
ITiCSEITiCSE-1996-KhuriW #named
Neuralis: an artificial neural network package (SK, JW), pp. 25–27.
ITiCSEITiCSE-1996-MartiPH #education #paradigm
PACKET tracing: a new paradigm for teaching computer network courses (WFM, UWP, JAHJ), pp. 162–164.
ITiCSEITiCSE-1996-Pattinson #education
Network management teaching — managing a simulated network (CP), p. 233.
ICALPICALP-1996-BermondGPRV #communication #performance
Efficient Collective Communication in Optical Networks (JCB, LG, SP, AAR, UV), pp. 574–585.
ICALPICALP-1996-Raymond #data flow #regular expression
Recognizing Regular Expressions by Means of Dataflow Networks (PR), pp. 336–347.
ICFPICFP-1996-CaspiP
Synchronous Kahn Networks (PC, MP), pp. 226–238.
CHICHI-1996-HartsonCKN #evaluation #usability
Remote Evaluation: The Network as an Extension of the Usability Laboratory (HRH, JCC, JTK, WCN), pp. 228–235.
CSCWCSCW-1996-CarrollS #community
Community Networks (JC, CS), p. 6.
CSCWCSCW-1996-FishK #collaboration #video
Networking for Collaboration: Video Telephony and Media Conferencing (RSF, REK), p. 6.
CSCWCSCW-1996-HiltzT #collaboration #learning #online #theory and practice
Asynchronous Learning Networks: The Theory and Practice of Collaborative Learning Online (SRH, MT), p. 5.
CSCWCSCW-1996-NakanishiYNI #named
FreeWalk: Supporting Casual Meetings in a Network (HN, CY, TN, TI), pp. 308–314.
CSCWCSCW-1996-RosemanG #collaboration #named
TeamRooms: Network Places for Collaboration (MR, SG), pp. 325–333.
KDDAKDDM-1996-Heckerman #information management
Bayesian Networks for Knowledge Discovery (DH), pp. 273–305.
CIKMCIKM-1996-SyuLD #information retrieval #semantics
Incorporating Latent Semantic Indexing into a Neural Network Model for Information Retrieval (IS, SDL, ND), pp. 145–153.
ICMLICML-1996-BlanzieriK #learning #online
Learning Radial Basis Function Networks On-line (EB, PK), pp. 37–45.
ICMLICML-1996-EzawaSN #learning #risk management
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management (KJE, MS, SWN), pp. 139–147.
ICMLICML-1996-FriedmanG #learning
Discretizing Continuous Attributes While Learning Bayesian Networks (NF, MG), pp. 157–165.
ICMLICML-1996-SinghP #classification #learning #performance
Efficient Learning of Selective Bayesian Network Classifiers (MS, GMP), pp. 453–461.
ICMLICML-1996-Suzuki #algorithm #learning #performance #using
Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique (JS), pp. 462–470.
ICPRICPR-1996-AizenbergAK #image #learning #multi #pattern matching #pattern recognition #recognition
Multi-valued and universal binary neurons: mathematical model, learning, networks, application to image processing and pattern recognition (NNA, INA, GAK), pp. 185–189.
ICPRICPR-1996-Bayro-CorrochanoBS #algebra #geometry #self #using
A new self-organizing neural network using geometric algebra (EBC, SB, GS), pp. 555–559.
ICPRICPR-1996-ChenJ #behaviour #on the
On the small sample behavior of the class-sensitive neural network (CHC, AJ), pp. 209–213.
ICPRICPR-1996-Cho #recognition #self
Recognition of unconstrained handwritten numerals by doubly self-organizing neural network (SBC), pp. 426–430.
ICPRICPR-1996-DayP #generative #using
The generation of motion kinematics using a time-delay neural network (MJSD, JSP), pp. 545–549.
ICPRICPR-1996-DoeringW #classification #composition #cost analysis #set
Feedforward neural networks for Bayes-optimal classification: investigations into the influence of the composition of the training set on the cost function (AD, HW), pp. 219–223.
ICPRICPR-1996-Grim #design
Maximum-likelihood design of layered neural networks (JG), pp. 85–89.
ICPRICPR-1996-GuttaHTW #recognition #using
Face recognition using ensembles of networks (SG, JH, BT, HW), pp. 50–54.
ICPRICPR-1996-HamamotoMIHT #anti #evaluation
Evaluation of an anti-regularization technique in neural networks (YH, YM, HI, TH, ST), pp. 205–208.
ICPRICPR-1996-HamkerG
Task-relevant relaxation network for visuo-motory systems (FHH, HMG), pp. 406–410.
ICPRICPR-1996-HolmstromKLO #classification #statistics
Neural network and statistical perspectives of classification (LH, PK, JL, EO), pp. 286–290.
ICPRICPR-1996-HwangB #classification #performance #recognition
An efficient method to construct a radial basis function neural network classifier and its application to unconstrained handwritten digit recognition (YSH, SYB), pp. 640–644.
ICPRICPR-1996-KrzyzakL #classification #complexity #convergence #parametricity
Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence (AK, TL), pp. 650–653.
ICPRICPR-1996-KunchevaH
An RBF network with tunable function shape (LK, STH), pp. 645–649.
ICPRICPR-1996-LeonardisB #adaptation #complexity #optimisation
Complexity optimization of adaptive RBF networks (TL, HB), pp. 654–658.
ICPRICPR-1996-LernerGADR #classification #feature model
Feature extraction by neural network nonlinear mapping for pattern classification (BL, HG, MA, ID, YR), pp. 320–324.
ICPRICPR-1996-LilienblumAM #3d #geometry
3D-measurement of geometrical shapes by photogrammetry and neural networks (TL, PA, BM), pp. 330–334.
ICPRICPR-1996-MichaelisSSM #adaptation #using
Adaptive filtering of distorted displacement vector fields using artificial neural networks (BM, OS, US, RM), pp. 335–339.
ICPRICPR-1996-MollerGW #clustering #performance
Fast vector quantizer on neural clustering networks providing globally optimal cluster solutions (UM, MG, HW), pp. 351–355.
ICPRICPR-1996-MontesinosA #image
Perceptual organization of thin networks with active contour functions applied to medical and aerial images (PM, LA), pp. 647–651.
ICPRICPR-1996-OkamotoYSY #online #string #using
On-line handwriting character string separation method using network expression (MO, HY, KS, KY), pp. 422–425.
ICPRICPR-1996-PelilloF #learning
Autoassociative learning in relaxation labeling networks (MP, AMF), pp. 105–110.
ICPRICPR-1996-PetrouS #fuzzy #on the #reasoning
On the relationship between neural networks and fuzzy reasoning (MP, KRS), pp. 239–243.
ICPRICPR-1996-PrantlGP #multi #using
Active fusion using Bayesian networks applied to multi-temporal remote sensing imagery (MP, HG, AP), pp. 890–894.
ICPRICPR-1996-PrinetMCLM #3d #image
Thin network extraction in 3D images: application to medical angiograms (VP, OM, GC, XSL, SM), pp. 386–390.
ICPRICPR-1996-RitterS
An introduction to morphological neural networks (GXR, PS), pp. 709–717.
ICPRICPR-1996-RoliSB #classification #image #multi
Classification of multisensor remote-sensing images by multiple structured neural networks (FR, SBS, LB), pp. 180–184.
ICPRICPR-1996-SammondaNN #convergence #image #segmentation
Hopfield neural network with prespecified time convergence for the segmentation of brain MR images (RS, NN, HN), pp. 462–471.
ICPRICPR-1996-SerraS #image #using
Perceptual grouping on texture images using non-cartesian networks (JRS, JBSV), pp. 462–466.
ICPRICPR-1996-SongKL #architecture #pattern matching #pattern recognition #recognition
A new recurrent neural network architecture for pattern recognition (HHS, SMK, SWL), pp. 718–722.
ICPRICPR-1996-StockerSVSK #image
Stability study of some neural networks applied to tissue characterization of brain magnetic resonance images (ADS, OS, AV, OS, TK), pp. 472–476.
ICPRICPR-1996-Stoyanov #learning
An improved backpropagation neural network learning (IPS), pp. 586–588.
ICPRICPR-1996-SziranyiC #segmentation
Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks (TS, LC), pp. 366–370.
ICPRICPR-1996-UtschickN #adaptation
Bayesian adaptation of hidden layers in Boolean feedforward neural networks (WU, JAN), pp. 229–233.
ICPRICPR-1996-WangZJ #multi #recognition
Multiple experts recognition system based on neural network (SW, XZ, YJ), pp. 452–456.
KDDKDD-1996-Musick #learning
Rethinking the Learning of Belief Network Probabilities (RM), pp. 120–125.
KRKR-1996-Morgenstern #semantics
Inheriting Well-formed Formulae in a Formula-Agumented Semantic Network (LM), pp. 268–279.
SIGIRSIGIR-1996-Callan #documentation
Document Filtering With Inference Networks (JPC), pp. 262–269.
SIGIRSIGIR-1996-Hopper
The Network Computer (AH), p. 2.
SIGIRSIGIR-1996-RibeiroM #information retrieval
A Belief Network Model for IR (BARN, RRM), pp. 253–260.
ASEKBSE-1996-EllmanM #algebra #deduction #difference #equation #simulation #source code #synthesis
Deductive Synthesis of Numerical Simulation Programs from Networks of Algebraic and Ordinary Differential Equations (TE, TM), p. 5.
SACSAC-1996-FordHPT #repository #standard #tool support
Linking specialized network data repositories to standard access tools (RF, GH, VP, DT), pp. 219–223.
SACSAC-1996-Fritzke #automation #fuzzy #logic
Automatic construction of radial basis function networks with the growing neural gas model and its relevance for fuzzy logic (BF), pp. 624–627.
SACSAC-1996-HashemiSHT
A neural network for speedy trials (RRH, TMS, WGH, JRT), pp. 468–472.
SACSAC-1996-HoeltingSW #algorithm #search-based #using
Finding investigator tours in telecommunication networks using genetic algorithms (CJH, DAS, RLW), pp. 82–87.
SACSAC-1996-KhalilSO #protocol #simulation
A simulation study of the mechanisms to enhance TCP protocol in wide area computer networks (KMK, YSS, MSO), pp. 77–81.
SACSAC-1996-KulkarniM #clustering #fuzzy #modelling
Fuzzy neural network models for clustering (ADK, VKM), pp. 523–528.
SACSAC-1996-LeungC
A stroke-order free Chinese handwriting input system based on relative stroke positions and back-propagation networks (WnL, KsC), pp. 22–27.
SACSAC-1996-MengelA #protocol #tutorial
A network protocol analyzer with tutorial (SM, SA), pp. 115–119.
SACSAC-1996-Shim
Developing a managed system in the OSI network management (YCS), pp. 88–92.
ASPLOSASPLOS-1996-FoxGBA #adaptation #on-demand #variability
Adapting to Network and Client Variability via On-Demand Dynamic Distillation (AF, SDG, EAB, EA), pp. 160–170.
ASPLOSASPLOS-1996-JamrozikFVEKLV #latency #memory management #using
Reducing Network Latency Using Subpages in a Global Memory Environment (HAJ, MJF, GMV, JEI, ARK, HML, MKV), pp. 258–267.
DACDAC-1996-BalarinHJLS #embedded #verification
Formal Verification of Embedded Systems based on CFSM Networks (FB, HH, AJ, LL, ALSV), pp. 568–571.
DACDAC-1996-BamjiM #algorithm #optimisation
Enhanced Network Flow Algorithm for Yield Optimization (CB, EM), pp. 746–751.
DACDAC-1996-DesaiCJ #cpu #performance
Sizing of Clock Distribution Networks for High Performance CPU Chips (MPD, RC, JJ), pp. 389–394.
DACDAC-1996-FerrandiFMPS #automaton #optimisation
Symbolic Optimization of FSM Networks Based on Sequential ATPG Techniques (FF, FF, EM, MP, DS), pp. 467–470.
DACDAC-1996-KernsY #analysis #congruence #multi #performance #reduction #scalability
Stable and Efficient Reduction of Large, Multiport RC Networks by Pole Analysis via Congruence Transformations (KJK, ATY), pp. 280–285.
DACDAC-1996-KudvaGJN #multi #synthesis
Synthesis for Hazard-free Customized CMOS Complex-Gate Networks Under Multiple-Input Changes (PK, GG, HMJ, SMN), pp. 77–82.
DACDAC-1996-KuoLC #clustering
Network Partitioning into Tree Hierarchies (MTK, LTL, CKC), pp. 477–482.
DACDAC-1996-Lin #design #hardware
A System Design Methodology for Software/Hardware Co-Development of Telecommunication Network Applications (BL), pp. 672–677.
HPCAHPCA-1996-BlumrichDFL #interface
Protected, User-Level DMA for the SHRIMP Network Interface (MAB, CD, EWF, KL), pp. 154–165.
HPCAHPCA-1996-ElGindySSSS #configuration management #multi #named
RMB — A Reconfigurable Multiple Bus Network (HAE, AKS, HS, HS, AS), pp. 108–117.
HPCAHPCA-1996-KontothanassisS #distributed #interface #memory management #performance #using
Using Memory-Mapped Network Interfaces to Improve the Performance of Distributed Shared Memory (LIK, MLS), pp. 166–177.
HPCAHPCA-1996-MarkatosK #clustering #named #parallel
Telegraphos: High-Performance Networking for Parallel Processing on Workstation Clusters (EPM, MK), pp. 144–153.
HPCAHPCA-1996-QiaoM #multi #on the #permutation
On the Multiplexing Degree Required to Embed Permutations in a Class of Networks with Direct Interconnects (CQ, YM), pp. 118–129.
HPDCHPDC-1996-AgusleoS #interface #memory management
Employing Logic-Enhanced Memory for High-Performance ATM Network Interfaces (HA, NS), pp. 192–200.
HPDCHPDC-1996-BourasKMOST #hypermedia #multi #on-demand
On-Demand Hypermedia/Multimedia Service over Broadband Networks (CB, VK, DM, VO, PGS, AT), pp. 224–231.
HPDCHPDC-1996-ChanPS #architecture #prototype
Prototyping Network Architectures on a Supercomputer (MCC, GP, RS), pp. 374–382.
HPDCHPDC-1996-DharanikotaM #architecture #named #quality
QUANTA: Quality of Service Architecture for Native TCP/IP over ATM Networks (SD, KM), pp. 585–594.
HPDCHPDC-1996-KumaranQ #automation #parallel
Automatic Exploitation of Dual Level Parallelism on a Network of Multiprocessors (SK, MJQ), pp. 616–625.
HPDCHPDC-1996-LazarL #multi #programmable
Programmability and Service Creation for Multimedia Networks (AAL, KSL), pp. 217–223.
HPDCHPDC-1996-NurmiBGLP #automation #cpu #distributed
Automatic Management of CPU and I/O Bottlenecks in Distributed Applications on ATM Networks (MAN, WEB, RNG, KCL, MDP), pp. 481–489.
HPDCHPDC-1996-OguchiO #case study #distributed
A Study of Caching Proxy Mechanisms Realized on Wide Area Distributed Networks (MO, KO), pp. 443–449.
HPDCHPDC-1996-ParkHKHY #communication #message passing #parallel #thread
NYNET Communication System (NCS): A Multithreaded Message Passing Tool over ATM Network (SYP, SH, YK, JSH, RY), pp. 460–469.
HPDCHPDC-1996-Ravindran #design #multi
Design of Multicast Packet Swithches for High — speed Multi — Service Networks (KR), pp. 573–584.
HPDCHPDC-1996-ReschkeSRSBM #design #parallel
A Design Study of Alternative Network Topologies for the Beowulf Parallel Workstation (CR, TLS, DR, DS, DJB, PM), pp. 626–636.
HPDCHPDC-1996-SarkarB #clustering #interface #named
CNI: A High-Performance Network Interface for Workstation Clusters (PS, MLB), pp. 151–160.
HPDCHPDC-1996-SisalemSS #video
The Network Video Terminal (DS, HS, CS), pp. 3–10.
HPDCHPDC-1996-Vila-SallentS
Supporting HPDC Application over ATM Networks with Cell-Based Transport Mechanisms (JVS, JSP), pp. 595–604.
HPDCHPDC-1996-ZakiLP
Customized Dynamic Load Balancing for a Network of Workstations (MJZ, WL, SP), pp. 282–291.
PDPPDP-1996-AlcoverLDZ #analysis #design #interactive #statistics
Interconnection Network Design: A Statistical Analysis of Interactions between Factors (RA, PL, JD, LZ), pp. 211–218.
PDPPDP-1996-Goubareni #independence #process #simulation
Simulation of Chaotic Iterative Processes in Speed-Independent Computing Networks (NMG), pp. 27–32.
PDPPDP-1996-IazzettaSS #communication #recursion
Tree-Based Communication Model for WK-Recursive Networks (AI, CS, US), pp. 204–210.
PDPPDP-1996-KimKYMC #analysis #multi #performance
Performance Analysis of Multipath Multistage Interconnection Networks with Nonuniform Output Traffic Distribution (BK, BK, HY, SM, JWC), pp. 196–203.
PDPPDP-1996-MiguelABF #empirical #evaluation #parallel #simulation
An Empirical Evaluation of Techniques for Parallel Discrete-Event Simulation of Interconnection Networks (JMA, AA, RB, JABF), pp. 219–226.
PDPPDP-1996-SuarezO
Overlapping Computations and Communications in Torus Networks (ÁS, CNOG), pp. 162–169.
PDPPDP-1996-TheodoropoulosW #architecture #simulation
Simulating Asynchronous Architectures on Transputer Networks (GKT, JVW), pp. 274–281.
PDPPDP-1996-ZambonelliPLS #case study #experience #migration #parallel
Experiences on Porting a Parallel Objects Environment from a Transputer Network to a PVM-Based System (FZ, MP, LL, NS), pp. 367–376.
ESOPESOP-1996-Stolen #data flow
Assumption/Commitment Rules for Dataflow Networks — With an Emphasis on Completeness (KS), pp. 356–372.
WRLARWLW-1996-PitaM #database #maude #object-oriented #specification
A Maude specification of an object-oriented database model for telecommunication networks (IP, NMO), pp. 405–423.
STOCSTOC-1996-AndrewsLMZ #automation #latency
Automatic Methods for Hiding Latency in High Bandwidth Networks (MA, FTL, PTM, LZ), pp. 257–265.
STOCSTOC-1996-Ma #fault tolerance #sorting
An O(n log n)-Size Fault-Tolerant Sorting Network (YM), pp. 266–275.
STOCSTOC-1996-RabaniT #distributed
Distributed Packet Switching in Arbitrary Networks (YR, ÉT), pp. 366–375.
CAVCAV-1996-CapellmannDFGNO #abstraction #behaviour #case study #detection #interactive #verification
Verification by Behaviour Abstraction — A Case Study of Service Interaction Detection in Intelligent Telephone Networks (CC, RD, FFV, RGE, UN, PO), pp. 466–469.
ICDARICDAR-v1-1995-GillouxLL #hybrid #markov #recognition #word
A hybrid radial basis function network/hidden Markov model handwritten word recognition system (MG, BL, ML), pp. 394–397.
ICDARICDAR-v1-1995-KimD #classification #distance #recognition #using
Off-line Recognition of Korean Scripts Using Distance Matching and Neural Network Classifiers (SHK, JID), pp. 34–37.
ICDARICDAR-v1-1995-LeeK #multi #recognition #self #using
Multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network (SWL, JSK), pp. 28–33.
ICDARICDAR-v1-1995-LeeK95b #recognition
A new type of recurrent neural network for handwritten character recognition (SWL, YJK), pp. 38–41.
ICDARICDAR-v1-1995-LeeL #recognition #segmentation
Integrated segmentation and recognition of connected handwritten characters with recurrent neural network (SWL, EJL), pp. 413–416.
ICDARICDAR-v1-1995-LeeS #approach #classification #formal method
A theory of classifier combination: the neural network approach (DSL, SNS), pp. 42–45.
ICDARICDAR-v1-1995-StrathyS #classification #multi
A two-stage multi-network OCR system with a soft pre-classifier and a network selector (NWS, CYS), pp. 78–81.
ICDARICDAR-v1-1995-SuWLX
Hierarchical neural network for recognizing hand-written characters in engineering drawings (HS, WW, XL, SX), pp. 46–49.
ICDARICDAR-v1-1995-UtschickNKSN #classification #evaluation #feature model
The evaluation of feature extraction criteria applied to neural network classifiers (WU, PN, CK, AS, JAN), pp. 315–318.
ICDARICDAR-v2-1995-DrouhardSG #case study #classification #comparative #nearest neighbour #using #verification
Comparative study of the k nearest neighbour, threshold and neural network classifiers for handwritten signature verification using an enhanced directional PDF (JPD, RS, MG), pp. 807–810.
ICDARICDAR-v2-1995-LeeK95c #clustering #multi #recognition
Multiresolution recognition of handwritten numerals with wavelet transform and multilayer cluster neural network (SWL, YJK), pp. 1010–1013.
ICDARICDAR-v2-1995-MiyaoN #approach #music #using
Head and stem extraction from printed music scores using a neural network approach (HM, YN), pp. 1074–1079.
ICALPICALP-1995-CosnardC
A Characterization of the Existence of Energies for Neural Networks (MC, EGC), pp. 570–580.
ICALPICALP-1995-MaratheRSRRH #design #problem
Bicriteria Network Design Problems (MVM, RR, RS, SSR, DJR, HBHI), pp. 487–498.
RTARTA-1995-Paccanaro #reduction
Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory (AP), pp. 444–449.
CHICHI-1995-BradleyJ #interface
Replacing a Networking Interface “From Hell” (RFB, LDJ), pp. 538–545.
CHICHI-1995-MukherjeaFH #hypermedia #multi #visualisation
Visualizing Complex Hypermedia Networks through Multiple Hierarchical Views (SM, JDF, SEH), pp. 331–337.
CHICHI-1995-Perkins #information management #online
The Interchange Online Network: Simplifying Information Access (RP), pp. 558–565.
CIKMCIKM-1995-ParkHC #automation #using
Automatic Thesaurus Construction Using Bayesian Networks (YCP, YSH, KSC), pp. 212–217.
ICMLICML-1995-BlackmoreM #grid #incremental #visualisation
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network (JB, RM), pp. 55–63.
ICMLICML-1995-CrawH #refinement
Protein Folding: Symbolic Refinement Competes with Neural Networks (SC, PH), pp. 133–141.
ICMLICML-1995-Heckerman #learning
Learning With Bayesian Networks (DH), p. 588.
KDDKDD-1995-CiampiL #approach #data analysis #design #modelling #statistics
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration (AC, YL), pp. 45–50.
KDDKDD-1995-EzawaN #information management #modelling #using
Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models (KJE, SWN), pp. 100–105.
KDDKDD-1995-SpirtesM #learning
Learning Bayesian Networks with Discrete Variables from Data (PS, CM), pp. 294–299.
KDDKDD-1995-Thiesson #quantifier #semistructured data
Accelerated Quantification of Bayesian Networks with Incomplete Data (BT), pp. 306–311.
SIGIRSIGIR-1995-CallanLC #distributed
Searching Distributed Collections with Inference Networks (JPC, ZL, WBC), pp. 21–28.
OOPSLAOOPSLA-1995-HuniJE #framework #protocol
A Framework for Network Protocol Software (HH, REJ, RE), pp. 358–369.
SACSAC-1995-Arnow #email #programming #using
:-) When you grade that: using e-mail and the network in programming courses (DMA), pp. 10–13.
SACSAC-1995-ChaabouniC #database #object-oriented
Discrimination network for rule condition matching in object-oriented database rule systems (MC, SMC), pp. 51–55.
SACSAC-1995-HalgamugeGG #fuzzy #problem #prototype
A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems (SKH, CG, MG), pp. 445–449.
SACSAC-1995-HashemiTV #monitoring #quality
A neural network as a quality control monitor of an intelligent system (RRH, JRT, MV), pp. 263–266.
SACSAC-1995-KumblaJB #algorithm #fuzzy #implementation #logic #using
Implementation of fuzzy logic and neural networks control algorithm using a digital signal processing chip (KKK, MJ, JBR), pp. 524–528.
SACSAC-1995-SmithPN #analysis #performance
Performance analysis of small FDDI networks (JS, LDP, TN), pp. 401–405.
DACDAC-1995-KonukFL #fault #performance #simulation
Accurate and Efficient Fault Simulation of Realistic CMOS Network Breaks (HK, FJF, TL), pp. 345–351.
HPCAHPCA-1995-CappelloG #communication #performance #towards
Toward High Communication Performance through Compiled Communications on a Circuit Switched Interconnection Network (FC, CG), pp. 44–53.
HPCAHPCA-1995-Panda #multi #performance
Fast Barrier Synchronization in Wormhole k-ary n-cube Networks with Multidestination Worms (DKP), pp. 200–209.
HPCAHPCA-1995-SivasubramaniamSRV #locality #parallel
Abstracting Network Characteristics and Locality Properties of Parallel Systems (AS, AS, UR, HV), pp. 54–63.
HPDCHPDC-1995-DowdPCHC #clustering #configuration management #named #scalability
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering (PWD, JAP, JCC, DCH, DC), pp. 220–229.
HPDCHPDC-1995-LiebeherrW #multi
A Versatile Packet Multiplexer for Quality-of-Service Networks (JL, DEW), pp. 148–155.
HPDCHPDC-1995-RamanjuanBT #approach #clustering #memory management #parallel
Network Shared Memory: A New Approach for Clustering Workstations for Parallel Processing (RSR, JB, KJT), pp. 48–56.
HPDCHPDC-1995-SalehiKT #parallel #performance #scheduling
The Performance Impact of Scheduling for Cache Affinity in Parallel Network Processing (JDS, JFK, DFT), pp. 66–77.
HPDCHPDC-1995-Sivalingam #hybrid #protocol
Hybrid Media Access Protocols for a DSM System Based on Optical WDM Networks (KMS), pp. 40–47.
ISMMIWMM-1995-Fuchs #garbage collection
Garbage Collection on an Open Network (MF), pp. 251–265.
PDPPDP-1995-BeschP #flexibility #parallel #using
Flexible data parallel training of neural networks using MIMD-Computers (MB, HWP), pp. 27–32.
PDPPDP-1995-BoianovJ #distributed #logic #simulation
Distributed logic circuit simulation on a network of workstations (LB, IJ), pp. 304–310.
PDPPDP-1995-MiguelAIB #parallel #simulation
Parallel simulation of message routing networks (JMA, AA, CI, RB), pp. 138–147.
PDPPDP-1995-PeregoP #parallel
Minimizing network contention for mapping tasks onto massively parallel computers (RP, GDP), pp. 210–218.
PDPPDP-1995-StrohschneiderKW #communication #data flow #scalability
An associative communication network for fine and large grain dataflow (JS, BK, KW), pp. 324–331.
SOSPSOSP-1995-AndersonDNPRW #file system
Serverless Network File Systems (TEA, MD, JMN, DAP, DSR, RYW), pp. 109–126.
SOSPSOSP-1995-EickenBBV #distributed #interface #named #parallel
U-Net: A User-Level Network Interface for Parallel and Distributed Computing (TvE, AB, VB, WV), pp. 40–53.
STOCSTOC-1995-DolevKKP #adaptation #named #performance
Bubbles: adaptive routing scheme for high-speed dynamic networks (SD, EK, DK, DP), pp. 528–537.
STOCSTOC-1995-Harchol-BalterW #bound
Bounding delays in packet-routing networks (MHB, DW), pp. 248–257.
STOCSTOC-1995-KahaleLMPSS #bound #sorting
Lower bounds for sorting networks (NK, FTL, YM, CGP, TS, ES), pp. 437–446.
STOCSTOC-1995-Karger #approximate #polynomial #problem #random #reliability
A randomized fully polynomial time approximation scheme for the all terminal network reliability problem (DRK), pp. 11–17.
STOCSTOC-1995-KarpinskiM #bound #polynomial
Polynomial bounds for VC dimension of sigmoidal neural networks (MK, AM), pp. 200–208.
STOCSTOC-1995-KleinbergT #approximate #problem
Approximations for the disjoint paths problem in high-diameter planar networks (JMK, ÉT), pp. 26–35.
HTHT-ECHT-1994-Brown #hypermedia #question
Adding Networking to Hypertext: Can it be Done Transparently? (PJB), pp. 51–58.
SIGMODSIGMOD-1994-Ahn #database
Database Issues in Telecommunications Network Management (IA), pp. 37–43.
SIGMODSIGMOD-1994-Jagadish #database
Databases for Networks (HVJ), p. 522.
VLDBVLDB-1994-LiC #database #integration #semantics #semistructured data #using
Semantic Integration in Heterogeneous Databases Using Neural Networks (WSL, CC), pp. 1–12.
ICALPICALP-1994-NikolestseasPSY #graph #multi #random #reliability
Short Vertex Disjoint Paths and Multiconnectivity in Random Graphs: Reliable Network Computing (SEN, KVP, PGS, MY), pp. 508–519.
ICALPICALP-1994-PlaxtonS #bound #sorting
A Super-Logarithmic Lower Bound for Hypercubic Sorting Networks (CGP, TS), pp. 618–629.
ICALPICALP-1994-Siegelmann #on the #power of #probability
On The Computational Power of Probabilistic and Faulty Neural Networks (HTS), pp. 23–34.
ICALPICALP-1994-Upfal #formal method #on the #parallel
On the Theory of Interconnection Networks for Parallel Computers (EU), pp. 473–486.
LISPLFP-1994-BiagioniHLM #ml #protocol #stack #standard
Signatures for a Network Protocol Stack: A Systems Application of Standard ML (EB, RH, PL, BM), pp. 55–64.
CSCWCSCW-1994-Bowers
The Work to Make a Network Work: Studying CSCW in Action (JB), pp. 287–298.
CSCWCSCW-1994-EvelandBBM #tool support #using
The Role of “Help Networks” in Facilitating Use of CSCW Tools (JDE, ALB, WB, JM), pp. 265–274.
ICMLICML-1994-CravenS #query #using
Using Sampling and Queries to Extract Rules from Trained Neural Networks (MC, JWS), pp. 37–45.
ICMLICML-1994-OpitzS #knowledge-based #search-based #using
Using Genetic Search to Refine Knowledge-based Neural Networks (DWO, JWS), pp. 208–216.
KDDKDD-1994-HeckermanGC #learning #statistics
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (DH, DG, DMC), pp. 85–96.
KDDKDD-1994-SasisekharanSW #machine learning #maintenance #using
Proactive Network Maintenance Using Machine Learning (RS, VS, SMW), pp. 453–462.
SIGIRSIGIR-1994-Yang #categorisation #effectiveness #learning #performance #retrieval
Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval (YY), pp. 13–22.
AdaEuropeAdaEurope-1994-BjornfotLWA
Distribution of Tasks within a Centrally Scheduled Local Area Network (LB, KL, GW, LA), pp. 421–432.
AdaTRI-Ada-1994-DeJohn
The Tyndall Range Control System: Bringing Network Computing to C2 Systems (DD), pp. 474–485.
SACSAC-1994-AbualiSW #algorithm #design #probability #search-based #using
Designing telecommunications networks using genetic algorithms and probabilistic minimum spanning trees (FNA, DAS, RLW), pp. 242–246.
SACSAC-1994-MahoneyLW #exponential
Construction of an artificial neural network for simple exponential smoothing in forecasting (DWM, RPL, SIW), pp. 308–312.
SACSAC-1994-RosenG #using
Training hard to learn networks using advanced simulated annealing methods (BER, JMG), pp. 256–260.
SACSAC-1994-Sen94a #using
File placement over a network using simulated annealing326741 (SS), pp. 251–255.
SACSAC-1994-Tschichold-Gurman #classification #fuzzy
Fuzzy RuleNet: an artificial neural network model for fuzzy classification (NNTG), pp. 145–149.
DACDAC-1994-CongLB #clustering #multi
Acyclic Multi-Way Partitioning of Boolean Networks (JC, ZL, RB), pp. 670–675.
DACDAC-1994-DahlgrenL #modelling
Modeling of Intermediate Node States in switch-Level Networks (PD, PL), pp. 722–727.
DACDAC-1994-WangB #automaton
Permissible Observability Relations in FSM Networks (HYW, RKB), pp. 677–683.
DATEEDAC-1994-Saucier #design #recognition
Design of a Digital Neural Chip: Application to Optical Character Recognition by Neural Network (DJ, GS), pp. 256–260.
HPDCHPDC-1994-AsthanaCK
An Experimental Active-Memory-Based Network Environment (AA, MC, PK), pp. 139–146.
HPDCHPDC-1994-BlumofeP #parallel #scalability #scheduling
Scheduling Large-Scale Parallel Computations on Networks of Workstations (RDB, DSP), pp. 96–105.
HPDCHPDC-1994-BorstCS #distributed #simulation
WAVE Processing of Networks and Distributed Simulation (PMB, MC, PS), pp. 61–69.
HPDCHPDC-1994-BurrellMP #analysis #capacity #implementation #multi #performance #protocol
Performance Analysis of a New Implementation Efficient Capacity Allocation Protocol for Multimedia Traffic in ATM Networks (AB, DM, PPK), pp. 51–60.
HPDCHPDC-1994-ChangFFGHNRSW
High-Performance TCP/IP and UDP/IP Networking in DEC OSF/1 for Alpha AXP (CHC, RF, JF, HG, WRH, APN, KKR, UNS, KMW), pp. 35–42.
HPDCHPDC-1994-HeddayaP #algorithm #interactive #parallel
Mapping Parallel Interactive Algorithms onto Workstation Networks (AH, KP), pp. 211–218.
HPDCHPDC-1994-HuangM #design #implementation #reduction
Design and Implementation of Global Reduction Operations Across ATM Networks (CH, PKM), pp. 43–50.
HPDCHPDC-1994-HuiCYHA #difference #equation
Solving Partial Differential Equations on a Network of Workstations (CCH, GKKC, MMSY, MH, IA), pp. 194–201.
HPDCHPDC-1994-WeissmanG #clustering #parallel
Network Partitioning of Data Parallel Computations (JBW, ASG), pp. 149–156.
PDPPDP-1994-BekleyTG #performance
Performance Of Very High Frequencies Networks (AB, BT, GG), pp. 180–184.
PDPPDP-1994-BirdC #communication #logic programming #modelling #using
Modelling Logic Programming Using A Network Of Communicating Machines (PRB, AJC), pp. 156–161.
PDPPDP-1994-ChenK #execution #flexibility #interface #memory management #performance
Integrating Memory And Network Accesses : A Flexible Processor-network Interface For Efficient Application Execution (YYC, CTK), pp. 103–110.
PDPPDP-1994-ChenPC
A Transputer-based Neural Network To Determine Object Positions From Tri-aural Ultrasonic Sensor Data (JC, HP, JMVC), pp. 93–100.
PDPPDP-1994-Ciccarella
Session 5: Networks And Communications (GC), p. 102.
PDPPDP-1994-SmaiW #evaluation #multi
Evaluation Of A Priority Flow Control Scheme For Multicomputer Networks (AHS, HW), pp. 111–116.
PDPPDP-1994-Tsang-PingBS #adaptation #parallel #simulation
Parallel Simulation Of GaAs MESFET Semiconductor Devices With Adaptive Meshing On A Transputer Network (CSTP, DMB, CMS), pp. 190–195.
STOCSTOC-1994-AwerbuchL #algorithm #approximate #multi #problem
Improved approximation algorithms for the multi-commodity flow problem and local competitive routing in dynamic networks (BA, TL), pp. 487–496.
STOCSTOC-1994-ImpagliazzoNW #algorithm #pseudo
Pseudorandomness for network algorithms (RI, NN, AW), pp. 356–364.
STOCSTOC-1994-Karger #design #problem #random
Random sampling in cut, flow, and network design problems (DRK), pp. 648–657.
STOCSTOC-1994-RaghavanU #performance
Efficient routing in all-optical networks (PR, EU), pp. 134–143.
STOCSTOC-1994-TanakaN #complexity #on the
On the complexity of negation-limited Boolean networks (KT, TN), pp. 38–47.
CAVCAV-1994-BalarinS #automation #invariant #on the
On the Automatic Computation of Network Invariants (FB, ALSV), pp. 234–246.
ICLPICLP-1994-MudambiS #parallel
Parallel CLP on Heterogeneous Networks (SM, JS), pp. 124–141.
HTHT-1993-Noik #scalability
Exploring Large Hyperdocuments: Fisheye Views of Nested Networks (EGN), pp. 192–205.
HTHT-1993-ShibataK #hypermedia #multi
Dynamic Hypertext and Knowledge Agent Systems for Multimedia Information Networks (YS, MK), pp. 82–93.
ICDARICDAR-1993-AminW #recognition #using
Hand-printed character recognition system using artificial neural networks (AA, WHW), pp. 943–946.
ICDARICDAR-1993-AraiAN #interactive #recognition #using
Intelligent interactive map recognition using neural networks (HA, SA, MN), pp. 922–925.
ICDARICDAR-1993-DeseillignyMS #algorithm #comprehension #graph #re-engineering
Map understanding for GIS data capture: Algorithms for road network graph reconstruction (MPD, HLM, GS), pp. 676–679.
ICDARICDAR-1993-Fukushima #recognition
Connected character recognition with a neural network (KF), pp. 240–243.
ICDARICDAR-1993-ImadeTW #classification #documentation #image #segmentation #using
Segmentation and classification for mixed text/image documents using neural network (SI, ST, TW), pp. 930–934.
ICDARICDAR-1993-Lemarie #implementation #recognition
Practical implementation of a radial basis function network for handwritten digit recognition (BL), pp. 412–415.
ICDARICDAR-1993-MiyaharaY #multi #recognition
Printed Japanese character recognition based on multiple modified LVQ neural network (KM, FY), pp. 250–253.
ICDARICDAR-1993-RaafatR
A tree structured neural network (HMR, MR), pp. 939–941.
ICDARICDAR-1993-Yamada #feedback #pattern matching #pattern recognition #recognition
Feedback pattern recognition by inverse recall neural network model (KY), pp. 254–257.
SIGMODSIGMOD-1993-Tgieman #information management #research
The International Directory Network and Connected Data Information Systems for Research in the Earth and Space Sciences (JRT), pp. 475–478.
ICALPICALP-1993-ChlebusDP #performance #reliability
Sparse Networks Supporting Efficient Reliable Broadcasting (BSC, KD, AP), pp. 388–397.
HCIHCI-ACS-1993-Hinman-Sweeney #communication
Developing an Electronic International Network for Space Communication (EMHS), pp. 161–166.
HCIHCI-SHI-1993-Chau #interface #natural language
Natural Language Interfaces for Integrated Network Management (RC), pp. 368–372.
HCIHCI-SHI-1993-TakedaSKO #distributed #empirical
Preliminary Experiment with a Distributed and Networking Card-Handling Tool Named KJ-Editor (NT, AS, KK, HO), pp. 273–278.
HCIHCI-SHI-1993-UenoO #design
A Design Guideline Search Method that Uses a Neural Network (KU, KO), pp. 27–32.
CHIINTERCHI-1993-BowersR #case study #experience #interface
Exploding the interface: experiences of a CSCW network (JB, TR), pp. 255–262.
CHIINTERCHI-1993-PehrsonS #distributed #multi #research
The MultiG research programme: distributed multimedia applications on Gigabit networks (BP, YS), pp. 246–247.
CIKMCIKM-1993-Sussna #ambiguity #for free #semantics #using #word
Word Sense Disambiguation for Free-text Indexing Using a Massive Semantic Network (MS), pp. 67–74.
ICMLICML-1993-Connolly #clustering #concept
Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering (DC), pp. 65–72.
ICMLICML-1993-CravenS #learning #using
Learning Symbolic Rules Using Artificial Neural Networks (MC, JWS), pp. 73–80.
ICMLICML-1993-DanylukP #fault #learning
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network (APD, FJP), pp. 81–88.
ICMLICML-1993-GratchCD #learning #scheduling
Learning Search Control Knowledge for Deep Space Network Scheduling (JG, SAC, GD), pp. 135–142.
ICMLICML-1993-MitchellT #comparison #learning
Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches (TMM, ST), pp. 197–204.
ICMLICML-1993-Schwalb #compilation
Compiling Bayesian Networks into Neural Networks (ES), pp. 291–297.
SEKESEKE-1993-LinCH #information management
A Generic Shell-Specialized Knowledge Acquisition Tool for Developing Network Management Software (CYIL, CCC, CSH), pp. 235–238.
SIGIRSIGIR-1993-HainesC #feedback
Relevance Feedback and Inference Networks (DH, WBC), pp. 2–11.
SIGIRSIGIR-1993-TzerasH #automation
Automatic Indexing Based on Bayesian Inference Networks (KT, SH), pp. 22–34.
SIGIRSIGIR-1993-WongCY
Computation of Term Associations by a Neural Network (SKMW, YJC, YY), pp. 107–115.
TOOLSTOOLS-EUROPE-1993-OlssonW #object-oriented
Object-Oriented Computational Networks for Computer Vision Applications (LO, HW), pp. 223–233.
ESECESEC-1993-LiuC #automation #evolution #process
Automatic Replanning of Task Networks for Process Model Evolution in EPOS (CL, RC), pp. 434–450.
SACSAC-1993-BrendelB #3d #re-engineering
3-Dimensional Reconstruction by Silhouettes to Construct Training Patterns for Neural Networks (TB, JB), pp. 770–774.
SACSAC-1993-FrederickSW #algorithm #metric #problem #search-based
The Hamming Metric in Genetic Algorithms and Its Application to Two Network Problems (WGF, RLS, CMW), pp. 126–130.
SACSAC-1993-HashemiCST #monte carlo #paradigm #predict
Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm (RRH, AHC, NLS, JRT), pp. 9–13.
SACSAC-1993-HowellSW #interface #object-oriented #programming
An Object Oriented Application/Programmer Interface for Network Programming (JH, MS, RW), pp. 437–444.
SACSAC-1993-Jimenez-CedenoV #approach #communication #predict #realtime
Centralized Packet Radio Network: A Communication Approach Suited for Data Collection in a Real-Time Flash Flood Prediction System (MJC, RVE), pp. 709–713.
SACSAC-1993-JoshiRN #algorithm #performance #problem
A Fast Algorithm for Generalized Network Location Problems (DSJ, SR, CN), pp. 701–708.
SACSAC-1993-WangJ #segmentation
Segmentation of Merged Characters by Neural Networks and Shortest-Path (JW, JSNJ), pp. 762–769.
SACSAC-1993-ZhengLP
Sparse Hypercube-Like Interconnection Networks (SQZ, SL, EKP), pp. 694–700.
DACDAC-1993-HamadaCC #approach #linear #named #using
Prime: A Timing-Driven Placement Tool using A Piecewise Linear Resistive Network Approach (TH, CKC, PMC), pp. 531–536.
DACDAC-1993-LiaoDWC #metaprogramming #polynomial #using
S-Parameter Based Macro Model of Distributed-Lumped Networks Using Exponentially Decayed Polynomial Function (HL, WWMD, RW, FYC), pp. 726–731.
HPDCHPDC-1993-AgrawalAV #generative
Test Pattern Generation for Sequential Circuits on a Network of Workstations (PA, VDA, JV), pp. 114–120.
HPDCHPDC-1993-ColombetDM #modelling #using
Star Modeling on IBM RS6000 Networks Using PVM (LC, LD, FM), pp. 121–128.
HPDCHPDC-1993-CrandallQ #composition #programming
Block Data Decomposition for Data-Parallel Programming on a Heterogeneous Workstation Network (PC, MJQ), pp. 42–49.
HPDCHPDC-1993-CrutcherLFZ #3d #using
Management of Broadband Networks Using a 3D Virtual World (LAC, AAL, SF, MXZ), pp. 306–315.
HPDCHPDC-1993-DobosiewiczG #named #protocol
DSMA: A Fair Capacity-1 Protocol for Gigabit Ring Networks (WD, PG), pp. 92–100.
HPDCHPDC-1993-FletcherO #distributed #learning #parallel
Parallel and Distributed Systems for Constructive Neural Network Learning (JF, ZO), pp. 174–178.
HPDCHPDC-1993-Kung #performance
New Flow Control Methods for High-Speed Networks (HTK), p. 4.
HPDCHPDC-1993-NakamuraT #performance #protocol
Starvation-Prevented Priority-Based Total Ordering Broadcast Protocol on High-Speed Single Channel Network (AN, MT), pp. 281–288.
HPDCHPDC-1993-RichardsGSBF #adaptation #named
DARTS — A Dynamically Adaptable Transport Service Suitable for High Speed Networks (AR, TG, AS, TB, MF), pp. 68–75.
HPDCHPDC-1993-SharmaA #design #distributed #trade-off
Hierarchical Distributed System Network Design with Cost-Performance Tradeoffs (NS, DPA), pp. 336–343.
PDPPDP-1993-0001D #configuration management #multi #trade-off
Dynamic reconfiguration of multicomputer networks: limitations and tradeoffs (JMG, JD), pp. 317–323.
PDPPDP-1993-AzharF #adaptation #using
Adaptive robot control using a processor network (FA, DAF), pp. 351–358.
PDPPDP-1993-GonzalezNQ #distributed
Utilization factor of a distributed system based on an Ethernet network (JDSG, ONT, JMQG), pp. 273–277.
PDPPDP-1993-JesshopeI
The MP1 network chip (CRJ, CI), pp. 338–348.
PDPPDP-1993-KalanteryWWR #lookahead #parallel #simulation
Exploiting lookahead in parallel simulation of SS7 telecommunication networks (NK, SCW, DRW, APR), pp. 324–329.
PDPPDP-1993-MoisanDC #concurrent #distributed #memory management #object-oriented #programming #simulation
An object-oriented concurrent programming model for simulation applications on distributed memory processors network (BM, YD, RC), pp. 78–85.
PDPPDP-1993-Quinteiro-GonzalezGB #reuse
Alternative strategies with slot reuse on DQDB networks (JMQG, JDSG, JB), pp. 278–283.
PDPPDP-1993-VeglisP #multi #on the
On the bandwidth availability of multistage interconnection networks (AAV, ASP), pp. 284–290.
SOSPSOSP-1993-BirrellNOW
Network Objects (AB, GN, SSO, EW), pp. 217–230.
SOSPSOSP-1993-HartmanO #file system
The Zebra Striped Network File System (JHH, JKO), pp. 29–43.
SOSPSOSP-1993-MaedaB #composition #protocol
Protocol Service Decomposition for High-Performance Networking (CM, BNB), pp. 244–255.
STOCSTOC-1993-AielloAMR #approximate
Approximate load balancing on dynamic and asynchronous networks (WA, BA, BMM, SR), pp. 632–641.
STOCSTOC-1993-KleinPR #composition #multi
Excluded minors, network decomposition, and multicommodity flow (PNK, SAP, SR), pp. 682–690.
STOCSTOC-1993-MacintyreS
Finiteness results for sigmoidal “neural” networks (AM, EDS), pp. 325–334.
STOCSTOC-1993-Phillips #problem
The network inhibition problem (CAP), pp. 776–785.
STOCSTOC-1993-PhillipsW #online
Online load balancing and network flow (SP, JW), pp. 402–411.
STOCSTOC-1993-WilliamsonGMV #algorithm #approximate #problem
A primal-dual approximation algorithm for generalized Steiner network problems (DPW, MXG, MM, VVV), pp. 708–717.
CAVCAV-1993-RhoS #automation #generative #invariant #verification
Automatic Generation of Network Invariants for the Verification of Iterative Sequential Systems (JKR, FS), pp. 123–137.
ICTSSIWPTS-1993-WittemanW #principle #testing #using
ATM Broadband Network Testing Using the Ferry Principle (MFW, RCvW), pp. 125–138.
CSCWCSCW-1992-Borenstein #framework
Computational Mail as Network Infrastructure for Computer-Supported Cooperative Work (NSB), pp. 67–74.
CSCWCSCW-1992-Rogers #distributed
Ghosts in the Network: Distributed Troubleshooting in a Shared Working Environment (YR), pp. 346–355.
KRKR-1992-WeidaL #constraints #reasoning #recognition
Terminological Reasoning with Constraint Networks and an Application to Plan Recognition (RAW, DJL), pp. 282–293.
ICMLML-1992-OmlinG #higher-order #using
Training Second-Order Recurrent Neural Networks using Hints (CWO, CLG), pp. 361–366.
TOOLSTOOLS-EUROPE-1992-Johnson #eiffel #resource management
An Eiffel Program for Static Network Resource Allocation (PJ), pp. 335–347.
ASEKBSE-1992-PartridgeS #re-engineering
Neural Networks as a Software Engineering Technology (DP, NS), p. 35.
SOSPSOSP-WIP-1991-Jeffay92 #operating system #video
Network and Operating System Support for Digital Audio and Video (KJ), p. 16.
ASPLOSASPLOS-1992-AndersonOST #scheduling
High Speed Switch Scheduling for Local Area Networks (TEA, SSO, JBS, CPT), pp. 98–110.
DACDAC-1992-ChiproutN #analysis
Generalized Moment-Matching Methods for Transient Analysis of Interconnect Networks (EC, MSN), pp. 201–206.
DACDAC-1992-Malik #multi #optimisation #using
Optimization of Primitive Gate Networks Using Multiple Output Two-Level Minimization (AAM), pp. 449–453.
DACDAC-1992-MitsuhashiK #optimisation
Power and Ground Network Topology Optimization for Cell Based VLSIs (TM, ESK), pp. 524–529.
DACDAC-1992-SarabiP #canonical #performance
Fast Exact and Quasi-Minimal Minimization of Highly Testable Fixed-Polarity AND/XOR Canonical Networks (AS, MAP), pp. 30–35.
HPDCHPDC-1992-BerraCGL #data transformation #distributed #multi
Issues in Networking and Data Management of Distributed Multimedia Systems (PBB, CYRC, AG, TDCL), pp. 4–15.
HPDCHPDC-1992-BogineniD #comparison #performance #protocol
Performance Comparison of Reservation and Preallocation Protocols for Star-Coupled WDM Photonic Networks (KB, PWD), pp. 94–103.
HPDCHPDC-1992-MechosoMFSMDWEM
Distributing a Climate Model across Gigabit Networks (CRM, CCM, JDF, JAS, RWM, WPD, MFW, PGE, AAM), pp. 16–25.
HPDCHPDC-1992-NedeljkovicQ #programming
Data-Parallel Programming on a Network of Heterogeneous Workstations (NN, MJQ), pp. 28–36.
HPDCHPDC-1992-Oberbrunner #parallel #visualisation
Parallel Networking and Visualization on the Connection Machine CM-5 (GO), pp. 78–84.
HPDCHPDC-1992-SchmidtBS #adaptation #architecture #flexibility #lightweight #multi #named #performance #protocol
ADAPTIVE: A Flexible and Adaptive Transport System Architecture to Support Lightweight Protocols for Multimedia Applications on High-Speed Networks (DCS, DFB, TS), pp. 174–186.
HPDCHPDC-1992-Sunderam #paradigm #tool support #tutorial
Tutorial I: Paradigms and Tools for Heterogeneous Network Computing (VSS), p. 282.
HPDCHPDC-1992-VarshneyD #multi #on the
On Flow Control in Multimedia Networks (PKV, SD), pp. 197–205.
STOCSTOC-1992-AwerbuchPPS #adaptation
Adapting to Asynchronous Dynamic Networks (BA, BPS, DP, MES), pp. 557–570.
STOCSTOC-1992-KlugermanP
Small-Depth Counting Networks (MK, CGP), pp. 417–428.
STOCSTOC-1992-Lin #communication #fault tolerance
Fault Tolerant Planar Communication Networks (GL), pp. 133–139.
STOCSTOC-1992-MaggsS #algorithm #bound
Simple Algorithms for Routing on Butterfly Networks with Bounded Queues (BMM, RKS), pp. 150–161.
STOCSTOC-1992-PanconesiS #algorithm #composition #distributed #problem
Improved Distributed Algorithms for Coloring and Network Decomposition Problems (AP, AS), pp. 581–592.
STOCSTOC-1992-Plaxton #sorting
A Hypercubic Sorting Network with Nearly Logarithmic Depth (CGP), pp. 405–416.
ICTSSIWPTS-1992-KosterD #consistency #mobile #testing
ISO Conformance Testing of the GSM Mobile Network System (RK, MD), pp. 263–273.
LICSLICS-1992-Stark #calculus #data flow
A Calculus of Dataflow Networks (EWS), pp. 125–136.
CHICHI-1991-BorningT #interactive #video
Two approaches to casual interaction over computer and video networks (AB, MT), pp. 13–19.
CHICHI-1991-MurakamiT #gesture #recognition #using
Gesture recognition using recurrent neural networks (KM, HT), pp. 237–242.
CHICHI-1991-ShawG
Supporting personal networking through computer networking (MLGS, BRG), pp. 437–438.
KRKR-1991-BalkeniusG
Nonmonotonic Inferences in Neural Networks (CB, PG), pp. 32–39.
ICMLML-1991-KowalczykFG #higher-order
Discovering Production Rules with Higher Order Neural Networks (AK, HLF, KG), pp. 158–162.
ICMLML-1991-OliveiraS #concept #learning
Learning Concepts by Synthesizing Minimal Threshold Gate Networks (ALO, ALSV), pp. 193–197.
ICMLML-1991-TowellCS #induction #knowledge-based
Constructive Induction in Knowledge-Based Neural Networks (GGT, MC, JWS), pp. 213–217.
ICMLML-1991-Yeung #approach #induction
A Neural Network Approach to Constructive Induction (DYY), pp. 228–232.
SIGIRSIGIR-1991-FreiW #algorithm #effectiveness #retrieval
Retrieval Algorithm Effectiveness in a Wide Area Network Information Filter (HPF, MFW), pp. 114–122.
SIGIRSIGIR-1991-Kwok #adaptation #architecture #query
Query Modification and Expansion in a Network with Adaptive Architecture (KLK), pp. 192–201.
SIGIRSIGIR-1991-WilkinsonH #documentation #using
Using the Cosine Measure in a Neural Network for Document (RW, PH), pp. 202–210.
AdaEuropeAdaEurope-1991-GutzmannRR #development #process #testing
Software Project Activity Network for Managing the Development and Testing Process (KMG, DLR, JLR), pp. 168–192.
DACDAC-1991-ChenMMF #approach #optimisation
A Resynthesis Approach for Network Optimization (KCC, YM, SM, MF), pp. 458–463.
DACDAC-1991-LimquecoM #logic #optimisation
Logic Optimization of MOS Networks (JCL, SM), pp. 464–469.
DACDAC-1991-WilliamsUM #testing
The Interdependence Between Delay-Optimization of Synthesized Networks and Testing (TWW, BU, MRM), pp. 87–92.
PPoPPPPoPP-1991-KungSGK #performance #scalability
Parallelizing a New Class of Large Applications over High-speed Networks (HTK, PS, MG, MK), pp. 167–177.
STOCSTOC-1991-AgrawalKR #algorithm #approximate #problem
When Trees Collide: An Approximation Algorithm for the Generalized Steiner Problem on Networks (AA, PNK, RR), pp. 134–144.
STOCSTOC-1991-AspnesHS #coordination #multi
Counting Networks and Multi-Processor Coordination (JA, MH, NS), pp. 348–358.
ICTSSIWPTS-1991-GuareneM #testing #tool support
Advanced Testing Tools For Intelligent Network (EG, PM), pp. 219–230.
HTECHT-1990-BiennierGP
Browsing in Hyperdocuments with the Assistance of a Neural Network (FB, MG, JMP), pp. 288–297.
ICALPICALP-1990-KranakisKB
Computing Boolean Functions on Anonymous Networks (EK, DK, JvdB), pp. 254–267.
ICALPICALP-1990-PanangadenSS #data flow
Stability and Sequentiality in Dataflow Networks (PP, VS, EWS), pp. 308–321.
ICALPICALP-1990-Parrow #behaviour
Structural and Behavioural Equivalences of Networks (JP), pp. 540–552.
CSCWCSCW-1990-HartE #effectiveness #implementation #integration
Computer Integration: a Co-Requirement for Effective Inter-Organization Computer Network Implementation (PH, DE), pp. 131–142.
ICMLML-1990-Valtorta #complexity #knowledge base #refinement
More Results on the Complexity of Knowledge Base Refinement: Belief Networks (MV), pp. 419–426.
SIGIRSIGIR-1990-TurtleC #documentation #retrieval
Inference Networks for Document Retrieval (HRT, WBC), pp. 1–24.
POPLPOPL-1990-Russell #on the #principle
On Oraclizable Networks and Kahn’s Principle (JRR), pp. 320–328.
DACDAC-1990-ChenM #multi #optimisation
Timing Optimization for Multi-Level Combinational Networks (KCC, SM), pp. 339–344.
DACDAC-1990-McGeerB #analysis
Timing Analysis in Precharge/Unate Networks (PCM, RKB), pp. 124–129.
DACDAC-1990-SavojB #multi #using
The Use of Observability and External Don’t Cares for the Simplification of Multi-Level Networks (HS, RKB), pp. 297–301.
DACDAC-1990-Wolf #automaton #behaviour #synthesis
The FSM Network Model for Behavioral Synthesis of Control-Dominated Machines (WW), pp. 692–697.
STOCSTOC-1990-AroraLM #algorithm #online
On-line Algorithms for Path Selection in a Nonblocking Network (SA, FTL, BMM), pp. 149–158.
STOCSTOC-1990-DietzfelbingerH #how #taxonomy
How to Distribute a Dictionary in a Complete Network (MD, FMadH), pp. 117–127.
STOCSTOC-1990-EvenR #distributed #using
The Use of a Synchronizer Yields Maximum Computation Rate in Distributed Networks (SE, SR), pp. 95–105.
CAVCAV-1990-PengP #approach #communication #concurrent #detection #finite #problem #state machine
A Unified Approach to the Deadlock Detection Problem in Networks of Communicating Finite State Machines (WP, SP), pp. 243–252.
KRKR-1989-DechterMP #constraints
Temporal Constraint Networks (RD, IM, JP), pp. 83–93.
KRKR-1989-RossiM #constraints #linear #using
Exact Solution in Linear Time of Networks of Constraints Using Perfect Relaxation (FR, UM), pp. 394–399.
ICMLML-1989-Anderson #learning
Tower of Hanoi with Connectionist Networks: Learning New Features (CWA), pp. 345–349.
ICMLML-1989-Katz #learning
Integrating Learning in a Neural Network (BFK), pp. 69–71.
ICMLML-1989-ShavlikT #learning
Combining Explanation-Based Learning and Artificial Neural Networks (JWS, GGT), pp. 90–93.
SIGIRSIGIR-1989-Kwok #information retrieval #probability
A Neural Network for Probabilistic Information Retrieval (KLK), pp. 21–30.
SIGIRSIGIR-1989-Parkes #automation #image
Settings and the Setting Structure: The Description and Automated Propagation of Networks for Perusing Videodisk Image States (APP), pp. 229–238.
POPLPOPL-1989-Jonsson #data flow
A Fully Abstract Trace Model for Dataflow Networks (BJ), pp. 155–165.
ASPLOSASPLOS-1989-ArnouldBCKSS #design #multi
The Design of Nectar: A Network Backplane for Heterogeneous Multicomputers (EAA, FJB, ECC, HTK, RDS, PS), pp. 205–216.
DACDAC-1989-CahnK #clustering
Computing Signal Delay in General RC Networks by Tree/Link Partitioning (PKC, KK), pp. 485–490.
DACDAC-1989-Chowdhury #design #graph #reliability
Optimum Design of Reliable IC Power Networks Having General Graph Topologies (SC), pp. 787–790.
DACDAC-1989-DuttaM #automation
Automatic Sizing of Power/Ground (P/G) Networks in VLSI (RD, MMS), pp. 783–786.
DACDAC-1989-HoevenLDD #simulation
A New Model for the High Level Description and Simulation of VLSI Networks (AJvdH, AAdL, EFD, PD), pp. 738–741.
DACDAC-1989-Libeskind-HadasL #problem
Solutions to the Module Orientation and Rotation Problems by Neural Computation Networks (RLH, CLL), pp. 400–405.
DACDAC-1989-McGeerB89a #algorithm #performance
Efficient Algorithms for Computing the Longest Viable Path in a Combinational Network (PCM, RKB), pp. 561–567.
DACDAC-1989-StokK
From Network to Artwork (LS, GPK), pp. 686–689.
DACDAC-1989-YihM #clustering #design
A Neural Network Design for Circuit Partitioning (JSY, PM), pp. 406–411.
SOSPSOSP-1989-ChaseALLL #parallel #programming
The Amber System: Parallel Programming on a Network of Multiprocessors (JSC, FGA, EDL, HML, RJL), pp. 147–158.
STOCSTOC-1989-Feder #approach #fixpoint
A New Fixed Point Approach for Stable Networks and Stable Marriages (TF), pp. 513–522.
STOCSTOC-1989-KochLMRR
Work-Preserving Emulations of Fixed-Connection Networks (RRK, FTL, BMM, SR, ALR), pp. 227–240.
SIGMODSIGMOD-1988-OnoAF
Data Manegement of Telecommunication Networks (KO, MA, HF), p. 201.
CSCWCSCW-1988-BermannT #question
Can Networks Make an Organization? (TB, KT), pp. 153–166.
ICMLML-1988-TanE #classification #using
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains (MT, LJE), pp. 121–134.
SIGIRSIGIR-1988-Simpson #query #retrieval
Query Processing in a Heterogeneous Retrieval Network (PS), pp. 359–370.
DACDAC-1988-StarkH #power management #using
Analyzing CMOS Power Supply Networks Using Ariel (DS, MH), pp. 460–464.
PPoPPPPEALS-1988-Nicol #parallel #probability #simulation
Parallel Discrete-Event Simulation Of FCFS Stochastic Queuing Networks (DMN), pp. 124–137.
STOCSTOC-1988-BermanS #fault tolerance
Investigations of Fault-Tolerant Networks of Computers (PB, JS), pp. 66–77.
STOCSTOC-1988-BhattCHLR #simulation
Optimal Simulations by Butterfly Networks (SNB, FRKC, JWH, FTL, ALR), pp. 192–204.
ICALPICALP-1987-LeeuwenSUZ #distributed #game studies
Guessing Games and Distributed Computations in Synchronous Networks (JvL, NS, JU, SZ), pp. 347–356.
ICALPICALP-1987-ShyamasundarNP #nondeterminism #semantics
Semantics for Nondeterministic Asynchronous Broadcast Networks (RKS, KTN, TP), pp. 72–83.
POPLPOPL-1987-Stark #concurrent #process #semantics
Concurrent Transition System Semantics of Process Networks (EWS), pp. 199–210.
POPLPOPL-1987-WidomGS #proving
Completeness and Incompleteness of Trace-Based Network Proof Systems (JW, DG, FBS), pp. 27–38.
DACDAC-1987-HealeyK #generative #logic
Abstract Routing of Logic Networks for Custom Module Generation (STH, WJK), pp. 230–236.
DACDAC-1987-McDermottS #paradigm
Switch Directed Dynamic Causal Networks — a Paradigm for Electronic System Diagnosis (RMM, DS), pp. 258–264.
SOSPSOSP-1987-MogulRA #performance
The Packet Filter: An Efficient Mechanism for User-level Network Code (JCM, RFR, MJA), pp. 39–51.
SOSPSOSP-1987-NelsonWO #file system
Caching in the Sprite Network File System (MNN, BBW, JKO), pp. 3–4.
STOCSTOC-1987-BilardiP #complexity
Size-Time Complexity of Boolean Networks for Prefix Computations (GB, FPP), pp. 436–442.
VLDBVLDB-1986-Seki #database #distributed #performance
New Seat Reservation System for Japanese National Railways — Distributed Processing Network and High Efficiency Databases (ES), pp. 502–510.
ICALPICALP-1986-BrzozowskiS #analysis #simulation
Correspondence between Ternary Simulation and Binary Race Analysis in Gate Networks (JAB, CJHS), pp. 69–78.
ICGTGG-1986-HotzKM #algebra #equation #on the #recursion
On Network Algebras and Recursive Equations (GH, RK, PM), pp. 250–261.
ICGTGG-1986-MontanariR #algorithm #constraints #performance
An Efficient Algorithm for the Solution of Hierarchical Networks of Constraints (UM, FR), pp. 440–457.
CSCWCSCW-1986-EvelandB #assessment #communication #empirical #evolution
Evolving electronic communication networks: an empirical assessment (JDE, TKB), pp. 91–101.
POPLPOPL-1986-LengauerH #concurrent #sorting #theorem
A Mechanically Certified Theorem about Optimal Concurrency of Sorting Networks (CL, CHH), pp. 307–317.
DACDAC-1986-Beckett #c #modelling
MOS circuit models in Network C (WSB), pp. 171–178.
DACDAC-1986-VidigalND #analysis #integration #named
CINNAMON: coupled integration and nodal analysis of MOS networks (LMV, SRN, SWD), pp. 179–185.
STOCSTOC-1986-DworkPPU #bound #fault tolerance
Fault Tolerance in Networks of Bounded Degree (CD, DP, NP, EU), pp. 370–379.
STOCSTOC-1986-FeldmanFP
Non-Blocking Networks (PF, JF, NP), pp. 247–254.
LICSLICS-1986-JonssonMW #data flow #deduction #synthesis #towards
Towards Deductive Synthesis of Dataflow Networks (BJ, ZM, RJW), pp. 26–37.
PODSPODS-1985-PageP #distributed
Distributed Management in Local Area Networks (TWPJ, GJP), pp. 135–142.
VLDBVLDB-1985-LuC #algorithm #distributed
Some Experimental Results on Distributed Join Algorithms in a Local Network (HL, MJC), pp. 292–304.
ICALPICALP-1985-LandauYG #algorithm #distributed
Distributed Algorithms in Synchronous Broadcasting Networks (GML, MMY, ZG), pp. 363–372.
ICALPICALP-1985-ZwiersRB #composition #concurrent
Compositionality and Concurrent Networks: Soundness and Completeness of a Proofsystem (JZ, WPdR, PvEB), pp. 509–519.
POPLPOPL-1985-NguyenGO #process #proving
A Model and Temporal Proof System for Networks of Processes (VN, DG, SSO), pp. 121–131.
DACDAC-1985-Chan #analysis #development #multi
Development of a timing analysis program for multiple clocked network (EC), pp. 816–819.
DACDAC-1985-HealeyG #composition #logic
Decomposition of logic networks into silicon (STH, DDG), pp. 162–168.
STOCSTOC-1985-Feldman #fault tolerance
Fault Tolerance of Minimal Path Routings in a Network (PF), pp. 327–334.
SIGMODSIGMOD-1984-Chang #database #design #distributed #using
Simplifying Distributed Database Systems Design by Using a Broadcast Network (JMC), pp. 223–233.
SIGMODSIGMOD-1984-ChenK #relational #retrieval
Combining Relational and Network Retrieval Methods (HHC, SMK), pp. 131–142.
ICALPICALP-1984-ColbournP #concurrent
Concurrent Transmissions in Broadcast Networks (CJC, AP), pp. 128–136.
POPLPOPL-1984-ShashaPE #protocol #verification
Temporal Verification of Carrier-Sense Local Area Network Protocols (DS, AP, WE), pp. 54–65.
DACDAC-1984-TakahashiKYEF #logic #simulation
An MOS digital network model on a modified thevenin equivalent for logic simulation (TT, SK, OY, KE, HF), pp. 549–555.
DACDAC-1984-WieclawskiP #compilation #layout #optimisation
Optimization of negative gate networks realized in weinberger-LIKF layout in a boolean level silicon compiler (AW, MAP), pp. 703–704.
STOCSTOC-1984-Awerbuch #performance #protocol
An Efficient Network Synchronization Protocol (BA), pp. 522–525.
STOCSTOC-1984-BilardiP #sorting
A Minimum Area VLSI Network for O(log n) Time Sorting (GB, FPP), pp. 64–70.
STOCSTOC-1984-BroderDFS #fault tolerance #performance
Efficient Fault Tolerant Routings in Networks (AZB, DD, MJF, BS), pp. 536–541.
STOCSTOC-1984-DolevHSS #fault tolerance
A New Look at Fault Tolerant Network Routing (DD, JYH, BS, HRS), pp. 526–535.
ICLPSLP-1984-WarrenADK84 #distributed #prolog #source code
Executing Distributed Prolog Programs on a Broadcast Network (DSW, MA, SKD, LVK), pp. 12–21.
PODSPODS-1983-ChinR #clustering #termination
Optimal Termination Prococols for Network Partitioning (FYLC, KVSR), pp. 25–35.
PODSPODS-1983-MurthyKK #algorithm #approximate #problem
An Approximation Algorithm to the File Allocation Problem in Computer Networks (KM, JBK, MSK), pp. 258–266.
SIGMODSIGMOD-1983-KuckS #consistency #design
Designing Globally Consistent Network Schemas (SMK, YS), pp. 185–195.
VLDBVLDB-1983-Subieta #database #relational
High-Level Navigational Facilities for Network and Relational Databases (KS), pp. 380–386.
ICALPICALP-1983-ReifS #logic #multi
A Multiprocess Network Logic with Temporal and Spatial Modalities (JHR, APS), pp. 629–639.
SIGIRSIGIR-1983-CroftWT #documentation #retrieval
A Network Organization Used for Document Retrieval (WBC, RW, RT), pp. 178–188.
DACDAC-1983-ChiangV #detection #fault #logic #on the
On fault detection in CMOS logic networks (KWC, ZGV), pp. 50–56.
STOCSTOC-1983-AjtaiKS #sorting
An O(n log n) Sorting Network (MA, JK, ES), pp. 1–9.
STOCSTOC-1983-Gabow #performance #problem #reduction
An Efficient Reduction Technique for Degree-Constrained Subgraph and Bidirected Network Flow Problems (HNG), pp. 448–456.
STOCSTOC-1983-ReifV #linear
A Logarithmic Time Sort for Linear Size Networks (JHR, LGV), pp. 10–16.
PODSPODS-1982-KuckS #database
A Universal Relation Database System Implemented via the Network Model (SMK, YS), pp. 147–157.
SIGMODSIGMOD-1982-SchlageterRPU #query
The Network Query Language NOAH (GS, MR, UP, RU), pp. 104–110.
VLDBVLDB-1982-GangopadhyayDB #approach #object-oriented #semantics
Semantics of Network Data Manipulation Languages: An Object-Oriented Approach (DG, UD, JCB), pp. 357–369.
VLDBVLDB-1982-WhangWS #database #design #physics #using
Physical Design of Network Model Databases Using the Property of Separability (KYW, GW, DS), pp. 98–107.
DACDAC-1982-BeningLAS #analysis #logic
Developments in logic network path delay analysis (LB, TAL, CRA, JES), pp. 605–615.
DACDAC-1982-FiducciaM #heuristic #linear
A linear-time heuristic for improving network partitions (CMF, RMM), pp. 175–181.
DACDAC-1982-UlrichH #modelling #simulation
Speed and accuracy in digital network simulation based on structural modeling (EU, DH), pp. 587–593.
STOCSTOC-1982-HongS
Notes on Merging Networks (ZH, RS), pp. 296–302.
ICALPICALP-1981-PreparataV #fourier #integer #multi
Area-Time Optimal VLSI Networks for Computing Integer Multiplications and Discrete Fourier Transform (FPP, JV), pp. 29–40.
ICALPICALP-1981-Reif
Minimum S-T Cut of a Planar Undirected Network in O(n log²(n)) Time (JHR), pp. 56–67.
FMPS-1981-NielsenS #communication
Communication Network (LSN, IHS), pp. 118–136.
SIGIRSIGIR-1981-Shoval #concept #retrieval #semantics
Expert/Consultation System for a Retrieval Data-Base with Semantic Network of Concepts (PS), pp. 145–149.
DACDAC-1981-Haynie #automation #database #design #hybrid #relational
The relational/network Hybrid data model for Design Automation Databases (MNH), pp. 646–652.
DACDAC-1981-Masurkar #algorithm #development #fault #identification
An algorithmic pretest development for fault identification in analog networks (VM), pp. 204–212.
DACDAC-1981-PenfieldR
Signal delay in RC tree networks (PPJ, JR), pp. 613–617.
SOSPSOSP-1981-HerbertN
Sequencing Computation Steps in a Network (AJH, RMN), pp. 59–63.
SOSPSOSP-1981-PopekWCERT #distributed #named #reliability
LOCUS — A Network Transparent, High Reliability Distributed System (GJP, BJW, JMC, DAE, CSK, GR, GT), pp. 169–177.
SOSPSOSP-1981-RashidR #communication #kernel #named #operating system
Accent: A Communication Oriented Network Operating System Kernel (RFR, GGR), pp. 64–75.
SOSPSOSP-1981-Spector
Performing Remore Operations Efficiently on a Local Computer Network (AZS), pp. 76–77.
VLDBVLDB-1980-Navathe #approach
An Intuitive Approach to Normalize Network Structured Data (SBN), pp. 350–358.
ICALPICALP-1980-FredericksonJ #generative #set
Generating and Searching Sets Induced by Networks (GNF, DBJ), pp. 221–233.
STOCSTOC-1980-Angluin
Local and Global Properties in Networks of Processors (DA), pp. 82–93.
STOCSTOC-1980-Toueg
Deadlock- and Livelock-Free Packet Switching Networks (ST), pp. 94–99.
SIGMODSIGMOD-1979-IraniL #concurrent #database #modelling #transaction
Queuing Network Models for Concurrent Transaction Processing in a Database System (KBI, HLL), pp. 134–142.
SIGMODSIGMOD-1979-Zaniolo #design #relational
Design of Relational Views over Network Schemas (CZ), pp. 179–190.
FMFM-1979-Moriconi #design #interactive #verification
Interactive Design and Verification: A Message Switching Network Example (MM), pp. 355–388.
DACDAC-1979-Cha #fault #multi
Multiple fault diagnosis in combinational networks (CWC), pp. 149–155.
DACDAC-1979-El-Ziq #fault #generative #performance #simulation #testing
Testing of MOS combinational networks a procedure for efficient fault simulation and test generation (YMEZ), pp. 162–170.
DACDAC-1979-GiambiasiMM #named #scalability #simulation
SILOG: A practical tool for large digital network simulation (NG, AM, DM), pp. 263–271.
SOSPSOSP-1979-AimesL #behaviour #communication
The Behavior of Ethernet-Like Computer Communication Networks (GTA, EDL), pp. 66–81.
STOCSTOC-1979-GalilN
Network Flow and Generalized Path Compression (ZG, AN), pp. 13–26.
STOCSTOC-1979-TouegU #concurrent
Deadlock-Free Packet Switching Networks (ST, JDU), pp. 89–98.
VLDBVLDB-1978-SuLLLD #database #distributed #named #relational
MICRONET: A Microcomputer Network System for Managing Distributed Relational Databases (SYWS, SL, CjL, DHL, KLD), pp. 288–298.
ICALPICALP-1978-Schnorr #multi #symmetry
Multiterminal Network Flow and Connectivity in Unsymmetrical Networks (CPS), pp. 425–439.
ICALPICALP-1978-Toffoli #integration
Integration of the Phase-Difference Relations in Asynchronous Sequential Networks (TT), pp. 457–463.
ICGTGG-1978-Pfaltz #2d #graph grammar #set
A Graph Grammar that Describes the Set of Two-Dimensional Surface Networks (JLP), pp. 379–388.
SIGIRSIGIR-1978-Tharp #database #design #personalisation
Augmented Transition Networks as a Design Tool for Personalized Data Base Systems (ALT), pp. 2–13.
DACDAC-1978-El-Ziq #automation #constraints #design #logic
Logic design automation of MOS combinational networks with fan-in, fan-out constraints (YMEZ), pp. 240–249.
DACDAC-1978-Stange #logic #scalability
A test methodology for large logic networks (GHS), pp. 103–109.
SIGMODSIGMOD-1977-Swartwout #database #specification
An Access Path Specification Language for Restructuring Network Databases (DES), pp. 88–101.
VLDBVLDB-1977-NeuholdB #database #distributed #named
POREL: A Distributed Data Base on an Inhomogeneous Computer Network (EJN, HB), pp. 380–395.
DACDAC-1977-BottorffFGO #generative #logic #scalability #testing
Test generation for large logic networks (PSB, REF, NHG, EJO), pp. 479–485.
DACDAC-1977-Carley #automation #design #named
SWESS — the middle system of a design automation network (DKC), pp. 425–430.
DACDAC-1977-El-ZiqS #automation #design #logic
Logic design automation of diagnosable MOS combinational logic networks (YMEZ, SYHS), pp. 205–215.
DACDAC-1977-MorrisMG #scalability #simulation #using
Simulation of large communications networks using SPIN (ILM, JM, RG), pp. 194–204.
DACDAC-1977-Walsh #named
SPIDER — a Computer Aided Manufacturing Network (MEW), pp. 431–436.
VLDBVLDB-J-1975-MahmoudR76 #distributed
Optimal Allocation of Resources in Distributed Information Networks (SAM, JSR), pp. 66–78.
SIGMODSIGMOD-1976-DeheneffeH #database #named
NUL: A Navigational User’s Language for a Network Structured Data Base (CD, HH), pp. 135–142.
ICSEICSE-1976-Rubin #on the #reliability
On Reliable Topologies for Computer Networks (IR), pp. 263–267.
DACDAC-1976-Bernstein #approach #modelling #physics
Transmission line models, a unified physical network approach (SB), pp. 117–130.
DACDAC-1976-ChicoixPG #scalability #simulation
An accurate time delay model for large digital network simulation (CC, JP, NG), pp. 54–60.
SIGMODSIGMOD-1975-McGee #data type
File-Level Operations on Network Data Structures (WCM), pp. 32–47.
SIGMODSIGMOD-1975-Schneider #named #specification
DSCL — A Data Specification and Conversion Language for Networks (GMS), pp. 139–148.
VLDBVLDB-1975-MahmoudR #distributed
Optimal Allocation of Resources in Distributed Information Networks (SAM, JSR), p. i.
VLDBVLDB-1975-RoussopoulosM #database #semantics #using
Using Semantic Networks for Database Management (NR, JM), pp. 144–172.
VLDBVLDB-1975-Zimmerman #database #relational
Different Views of a Data Base: Coexistence between Network Model and Relational Model (KZ), pp. 535–537.
DACDAC-1975-GilliO #algebra #scalability #simulation
A new algebraic procedure for the simulation of large digital networks (LG, FO), pp. 32–41.
SOSPSOSP-1975-AkkoyunluEH #constraints #design #trade-off
Some Constraints and Tradeoffs in the Design of Network Communications (EAA, KE, RVH), pp. 67–74.
SOSPSOSP-1975-Chesson
The Network Unix System (GLC), pp. 60–66.
SIGMODSIGFIDET-1974-SuL #automation #database
A Semi-automatic Data Base Translation System for Achieving Data Sharing in a Network Environment (SYWS, HL), pp. 227–247.
SIGIRSIGIR-1973-Marcus #interactive #interface #retrieval
A Translating Computer Interface for a Network of Heterogeneous Interactive Retrieval Systems (RSM), pp. 2–12.
DACDAC-1973-UlrichB #concurrent #simulation
The concurrent simulation of nearly identical digital networks (EGU, TEB), pp. 145–150.
DACDAC-1972-ChandyKB #automation #design #evaluation #interactive #modelling
Design automation and queueing networks: An interactive system for the evaluation of computer queueing models (KMC, TWK, JCB), pp. 357–367.
DACDAC-1972-Schmidt #composition
Gate for gate modular replacement of combinational switching networks (DCS), pp. 331–340.
DACDAC-1972-Sr #automation #design
Design automation in network computers (EKBS), pp. 350–356.
DACDAC-1971-BossenOPS
Minimum test patterns for residue networks (DCB, DLO, AMP, MSS), pp. 278–284.
DACDAC-1971-TsudaKGN #analysis #named #simulation
NONLISA: Nonlinear network simulation and analysis program (TT, TK, SG, TN), pp. 347–357.
DACDAC-1970-Chace #dynamic analysis #named #prototype
DAMN — a prototype program for the Dynamic Analysis of Mechanical Networks (MAC), pp. 158–172.
DACDAC-1970-Sr70a #approach #design
Digital network design aids — an integrated approach (EKBS), pp. 220–229.
DACDAC-1967-Branin #analysis
Computer methods of network analysis (FHBJ).
DACSHARE-1964-Branin #analysis #using
D-C and transient analysis of networks using a digital computer (FHBJ).

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