BibSLEIGH — network tag

network

network

Tag #network

4800 papers:

POPL-2020-BeckettGMW #abstract interpretation #distributed: Abstract interpretation of distributed network control planes (RB, AG, RM, DW), p. 27.
ASPLOS-2020-TorkMS #architecture #named: Lynx: A SmartNIC-driven Accelerator-centric Architecture for Network Servers (MT, LM, MS), pp. 117–131.
CC-2020-KimLKS #robust: Robust quantization of deep neural networks (YK, JL, YK, JS), pp. 74–84.
CSL-2020-BielousK #game studies: Coverage and Vacuity in Network Formation Games (GB, OK), p. 18.
EDM-2019-HuR #estimation #graph #performance: Academic Performance Estimation with Attention-based Graph Convolutional Networks (QH, HR).
EDM-2019-KaserS #classification #interactive #modelling #student: Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments (TK, DLS).
EDM-2019-TatoND #hybrid #predict #reasoning: Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills (AANT, RN, AD).
ICSME-2019-BraiekK #approach #named #search-based #testing: DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks (HBB, FK), pp. 454–458.
ICSME-2019-PalacioMMBPS #identification #learning #using: Learning to Identify Security-Related Issues Using Convolutional Neural Networks (DNP, DM, KM, CBC, DP, CS), pp. 140–144.
MSR-2019-GoteSS #git #mining #named #repository #scalability: git2net: mining time-stamped co-editing networks from large git repositories (CG, IS, FS), pp. 433–444.
MSR-2019-LiuLZFDQ #commit #generative #using: Generating commit messages from diffs using pointer-generator network (QL, ZL, HZ, HF, BD, YQ), pp. 299–309.
SANER-2019-NghiYJ #algorithm #classification #dependence: Bilateral Dependency Neural Networks for Cross-Language Algorithm Classification (BDQN, YY, LJ), pp. 422–433.
SANER-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.
FM-2019-SuP0 #scalability: Controlling Large Boolean Networks with Temporary and Permanent Perturbations (CS, SP, JP0), pp. 707–724.
FM-2019-TranLMYNXJ #analysis #reachability: Star-Based Reachability Analysis of Deep Neural Networks (HDT, DML, PM, XY, LVN, WX, TTJ), pp. 670–686.
AIIDE-2019-BontragerKASST #game studies #learning: “Superstition” in the Network: Deep Reinforcement Learning Plays Deceptive Games (PB, AK, DA, MS, CS, JT), pp. 10–16.
CoG-2019-GiacomelloLL #generative: Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels (EG, PLL, DL), pp. 1–8.
CoG-2019-ParakhCS #approach #design #game studies #problem #towards: An Approach Towards Designing Problem Networks in Serious Games (AP, PC, MS), pp. 1–8.
CoG-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.
CoG-2019-Sovrano #experience #random: Combining Experience Replay with Exploration by Random Network Distillation (FS), pp. 1–8.
CoG-2019-TongLL #evolution #policy: Enhancing Rolling Horizon Evolution with Policy and Value Networks (XT, WL, BL0), pp. 1–8.
FDG-2019-HoC #community #visualisation: Roguelike ancestry network visualisation: insights from the roguelike community (XH, MC), p. 9.
FDG-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.
FDG-2019-MillerWK #evolution: Evolving unsupervised neural networks for Slither.io (MM, MW, FK), p. 5.
FDG-2019-SongW #evolution #generative #named: TownSim: agent-based city evolution for naturalistic road network generation (AS, JW), p. 9.
VS-Games-2019-BakalosRDDPV #identification #using: Choreographic Pose Identification using Convolutional Neural Networks (NB, IR, ND, AD, EP, AV), pp. 1–7.
CIKM-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.
CIKM-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.
CIKM-2019-BonchiGGOR #community: Discovering Polarized Communities in Signed Networks (FB, EG, AG, BO, GR), pp. 961–970.
CIKM-2019-CaiYZR: Adversarial Structured Neural Network Pruning (XC, JY, FZ, SR), pp. 2433–2436.
CIKM-2019-CaoCL0: Nested Relation Extraction with Iterative Neural Network (YC, DC0, HL0, PL0), pp. 1001–1010.
CIKM-2019-CaoDGMT #named #query: BeLink: Querying Networks of Facts, Statements and Beliefs (TDC, LD, FG, IM, XT), pp. 2941–2944.
CIKM-2019-CaoZSX #modelling #named #sequence: HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling (YC, WZ, BS, CX), pp. 1723–1732.
CIKM-2019-ChenCCR #recommendation: A Dynamic Co-attention Network for Session-based Recommendation (WC, FC, HC, MdR), pp. 1461–1470.
CIKM-2019-ChenLX0 #classification #sentiment: Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification (SC, XL, YX, LH0), pp. 1021–1030.
CIKM-2019-ChenLYZS #graph: Knowledge-aware Textual Entailment with Graph Attention Network (DC, YL, MY0, HTZ, YS), pp. 2145–2148.
CIKM-2019-ChenSHG #detection: Attention-Residual Network with CNN for Rumor Detection (YC, JS, LH, WG), pp. 1121–1130.
CIKM-2019-ChenSTCS #performance #random: Fast and Accurate Network Embeddings via Very Sparse Random Projection (HC, SFS, YT, MC, SS), pp. 399–408.
CIKM-2019-DerrJCT: Balance in Signed Bipartite Networks (TD, CJ, YC, JT), pp. 1221–1230.
CIKM-2019-DongZHSL #detection #graph #multi: Multiple Rumor Source Detection with Graph Convolutional Networks (MD, BZ, NQVH, HS, GL), pp. 569–578.
CIKM-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.
CIKM-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.
CIKM-2019-FuL #estimation #named: DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation (TYF, WCL), pp. 69–78.
CIKM-2019-Gao0WL #bidirectional #interactive #recognition: Gate-based Bidirectional Interactive Decoding Network for Scene Text Recognition (YG, YC0, JW, HL), pp. 2273–2276.
CIKM-2019-GuLL #interactive #multi: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots (JCG, ZHL, QL), pp. 2321–2324.
CIKM-2019-HeSLJPP #named #random: HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding (YH, YS, JL, CJ, JP, HP), pp. 639–648.
CIKM-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.
CIKM-2019-HuangSZWC #learning #self: Similarity-Aware Network Embedding with Self-Paced Learning (CH0, BS, XZ, XW, NVC), pp. 2113–2116.
CIKM-2019-HuangWWT #multi #named #self: DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting (SH, DW, XW, AT), pp. 2129–2132.
CIKM-2019-HuangWZLC #classification #prototype: Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity (CH0, XW, XZ, SL, NVC), pp. 2141–2144.
CIKM-2019-HuangZDB: Deep Dynamic Fusion Network for Traffic Accident Forecasting (CH, CZ, PD, LB), pp. 2673–2681.
CIKM-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.
CIKM-2019-JiaoXZZ #graph #predict: Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention (YJ, YX, JZ, YZ), pp. 419–428.
CIKM-2019-KangT #mining #named: N2N: Network Derivative Mining (JK, HT), pp. 861–870.
CIKM-2019-Lakhotia0 #algorithm #approximate #coordination #social: Approximation Algorithms for Coordinating Ad Campaigns on Social Networks (KL, DK0), pp. 339–348.
CIKM-2019-LeePY #named: BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network (SL, CP, HY), pp. 619–628.
CIKM-2019-LeeRKKKR #graph: Graph Convolutional Networks with Motif-based Attention (JBL, RAR, XK, SK, EK, AR), pp. 499–508.
CIKM-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.
CIKM-2019-LiECL #clustering #identification #mobile #multi: Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks (LL, SME, CAC, CL), pp. 2253–2256.
CIKM-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.
CIKM-2019-LiHLDZ #detection #named: SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks (YL, XH, JL, MD, NZ), pp. 2233–2236.
CIKM-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.
CIKM-2019-LinPLO #recognition #using: An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals (JL, SP, CSL, SLO), pp. 2069–2072.
CIKM-2019-LinWXLB #estimation #hybrid #using: Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network (XL, YW, XX, ZL, SSB), pp. 1973–1982.
CIKM-2019-LiQLYL #detection #graph #overview: Spam Review Detection with Graph Convolutional Networks (AL, ZQ, RL, YY, DL), pp. 2703–2711.
CIKM-2019-LiuZH #graph #representation #towards: Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks (ZL, DZ, JH), pp. 2137–2140.
CIKM-2019-LiY0X #component: Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations (KL, FY, CF0, TX), pp. 2285–2288.
CIKM-2019-LiZWHYL #multi: Multi-Hot Compact Network Embedding (CL, LZ, SW, FH, PSY, ZL), pp. 459–468.
CIKM-2019-LongWDSJL #approach #community: Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach (QL, YW, LD, GS, YJ, WL), pp. 409–418.
CIKM-2019-LuoCXQ #community: Best Co-Located Community Search in Attributed Networks (JL, XC, XX, QQ), pp. 2453–2456.
CIKM-2019-LuWSYY: Temporal Network Embedding with Micro- and Macro-dynamics (YL, XW0, CS, PSY, YY), pp. 469–478.
CIKM-2019-MauryaLM #approximate #graph #performance: Fast Approximations of Betweenness Centrality with Graph Neural Networks (SKM, XL0, TM), pp. 2149–2152.
CIKM-2019-PangWZG0 #design #generative #named: NAD: Neural Network Aided Design for Textile Pattern Generation (ZP, SW, DZ, YG, GC0), pp. 2081–2084.
CIKM-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.
CIKM-2019-ParkKZ0Y: Task-Guided Pair Embedding in Heterogeneous Network (CP, DK, QZ, JH0, HY), pp. 489–498.
CIKM-2019-PratamaZAO0 #automation #multi #streaming: Automatic Construction of Multi-layer Perceptron Network from Streaming Examples (MP, CZ, AA, YSO, WD0), pp. 1171–1180.
CIKM-2019-QiuLHY #graph #order #recommendation: Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks (RQ, JL, ZH, HY), pp. 579–588.
CIKM-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.
CIKM-2019-ShiLLP #multi: A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management (SS, JL, GL, PP), pp. 1613–1622.
CIKM-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.
CIKM-2019-ShiY #analysis: Recent Developments of Deep Heterogeneous Information Network Analysis (CS, PSY), pp. 2973–2974.
CIKM-2019-ShiYZ #analysis: HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications (CS, YY, JZ), pp. 2991–2992.
CIKM-2019-SongCZX #memory management #recommendation: Session-based Recommendation with Hierarchical Memory Networks (BS, YC, WZ, CX), pp. 2181–2184.
CIKM-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.
CIKM-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.
CIKM-2019-Wang0T00: Discerning Edge Influence for Network Embedding (YW, YY0, HT, FX0, JL0), pp. 429–438.
CIKM-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.
CIKM-2019-WangL #behaviour #learning: Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding (PCW, CTL), pp. 2097–2100.
CIKM-2019-WangLL #interactive #predict: Neighborhood Interaction Attention Network for Link Prediction (ZW, YL, WL), pp. 2153–2156.
CIKM-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.
CIKM-2019-WangWC #multi: Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network (HW, ZW, JC), pp. 1081–1090.
CIKM-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.
CIKM-2019-WuH #scalability: Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy (JW, JH), pp. 2101–2104.
CIKM-2019-WuPDTZD #distance #graph #learning: Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning (MW, SP, LD, IWT, XZ, BD), pp. 2157–2160.
CIKM-2019-XiaoZZXBZY #3d #multi #recognition: Multi-view Moments Embedding Network for 3D Shape Recognition (JX, YZ, PZ, KX, KB, CZ, WY), pp. 2257–2260.
CIKM-2019-XuHY #graph #learning #scalability: Scalable Causal Graph Learning through a Deep Neural Network (CX, HH, SY), pp. 1853–1862.
CIKM-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.
CIKM-2019-YanCKWM #2d #named #recommendation: CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (AY, SC, WCK, MW, JJM), pp. 2173–2176.
CIKM-2019-YangGWSX0 #summary: Query-Specific Knowledge Summarization with Entity Evolutionary Networks (CY, LG, ZW, JS, JX, JH0), pp. 2121–2124.
CIKM-2019-YangWCW #graph #predict #using: Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks (YY, ZW, QC, LW), pp. 2161–2164.
CIKM-2019-YaoHGH #low level: Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method (SY, YH, LG, ZH), pp. 1111–1120.
CIKM-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.
CIKM-2019-YouVLL #multi #recommendation: Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation (DY, NV, KL, QL), pp. 1471–1480.
CIKM-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.
CIKM-2019-ZhangRZYZ #named: PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network (YZ, WR, KZ, MY, JZ), pp. 1933–1942.
CIKM-2019-ZhaoZSL #recommendation: Motif Enhanced Recommendation over Heterogeneous Information Network (HZ, YZ, YS, DLL), pp. 2189–2192.
ECIR-p1-2019-FardBW #predict: Relationship Prediction in Dynamic Heterogeneous Information Networks (AMF, EB, KW0), pp. 19–34.
ECIR-p1-2019-Sanz-CruzadoC #information retrieval #modelling #recommendation #social: Information Retrieval Models for Contact Recommendation in Social Networks (JSC, PC), pp. 148–163.
ECIR-p1-2019-VoB: Extracting Temporal Event Relations Based on Event Networks (DTV, EB), pp. 844–851.
ECIR-p1-2019-ZhangJ #image #predict #twitter: Image Tweet Popularity Prediction with Convolutional Neural Network (YZ0, AJ), pp. 803–809.
ECIR-p2-2019-ImaniVMS19a #query #using #word: Deep Neural Networks for Query Expansion Using Word Embeddings (AI, AV, AM, AS), pp. 203–210.
ICML-2019-0002LA #multi: Exploring interpretable LSTM neural networks over multi-variable data (TG0, TL, NAF), pp. 2494–2504.
ICML-2019-AlbuquerqueMDCF #generative #multi: Multi-objective training of Generative Adversarial Networks with multiple discriminators (IA, JM, TD, BC, THF, IM), pp. 202–211.
ICML-2019-AletJVRLK #adaptation #graph #memory management: Graph Element Networks: adaptive, structured computation and memory (FA, AKJ, MBV, AR, TLP, LPK), pp. 212–222.
ICML-2019-AnconaOG #algorithm #approximate #polynomial: Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation (MA, CÖ, MHG), pp. 272–281.
ICML-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.
ICML-2019-BeckerPGZTN: Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces (PB, HP, GHWG, CZ, CJT, GN), pp. 544–552.
ICML-2019-BehrmannGCDJ: Invertible Residual Networks (JB, WG, RTQC, DD, JHJ), pp. 573–582.
ICML-2019-BiePC #probability: Stochastic Deep Networks (GdB, GP, MC), pp. 1556–1565.
ICML-2019-BiettiMCM #kernel: A Kernel Perspective for Regularizing Deep Neural Networks (AB, GM, DC, JM), pp. 664–674.
ICML-2019-CasadoM #constraints #orthogonal: Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group (MLC, DMR), pp. 3794–3803.
ICML-2019-ChattopadhyayMS #perspective: Neural Network Attributions: A Causal Perspective (AC, PM, AS, VNB), pp. 981–990.
ICML-2019-ChenLCZ #comprehension: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels (PC, BL, GC, SZ), pp. 1062–1070.
ICML-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.
ICML-2019-ChiquetRM #re-engineering: Variational Inference for sparse network reconstruction from count data (JC, SR, MM), pp. 1162–1171.
ICML-2019-CohenWKW: Gauge Equivariant Convolutional Networks and the Icosahedral CNN (TC, MW, BK, MW), pp. 1321–1330.
ICML-2019-DuH #linear #matter #optimisation: Width Provably Matters in Optimization for Deep Linear Neural Networks (SSD, WH), pp. 1655–1664.
ICML-2019-DuLL0Z: Gradient Descent Finds Global Minima of Deep Neural Networks (SSD, JDL, HL, LW0, XZ), pp. 1675–1685.
ICML-2019-DziedzicPKEF: Band-limited Training and Inference for Convolutional Neural Networks (AD, JP, SK, AJE, MJF), pp. 1745–1754.
ICML-2019-FischerBDGZV #logic #named #query: DL2: Training and Querying Neural Networks with Logic (MF, MB, DDC, TG, CZ, MTV), pp. 1931–1941.
ICML-2019-FranceschiNPH #graph #learning: Learning Discrete Structures for Graph Neural Networks (LF, MN, MP, XH), pp. 1972–1982.
ICML-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.
ICML-2019-GeifmanE #named: SelectiveNet: A Deep Neural Network with an Integrated Reject Option (YG, REY), pp. 2151–2159.
ICML-2019-GhaffariLM #algorithm #clustering #parallel: Improved Parallel Algorithms for Density-Based Network Clustering (MG, SL, SM), pp. 2201–2210.
ICML-2019-GoldfeldBGMNKP #data flow: Estimating Information Flow in Deep Neural Networks (ZG, EvdB, KHG, IM, NN, BK, YP), pp. 2299–2308.
ICML-2019-HaberLTR: IMEXnet A Forward Stable Deep Neural Network (EH, KL, ET, LR), pp. 2525–2534.
ICML-2019-HacohenW #education #learning #on the #power of: On The Power of Curriculum Learning in Training Deep Networks (GH, DW), pp. 2535–2544.
ICML-2019-HaninR #complexity #linear: Complexity of Linear Regions in Deep Networks (BH, DR), pp. 2596–2604.
ICML-2019-HavivRB #comprehension #memory management: Understanding and Controlling Memory in Recurrent Neural Networks (DH, AR, OB), pp. 2663–2671.
ICML-2019-HayouDR #on the: On the Impact of the Activation function on Deep Neural Networks Training (SH, AD, JR), pp. 2672–2680.
ICML-2019-HsiehLC #generative #nash: Finding Mixed Nash Equilibria of Generative Adversarial Networks (YPH, CL, VC), pp. 2810–2819.
ICML-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.
ICML-2019-JeongLK: Ladder Capsule Network (TJ, YL, HK), pp. 3071–3079.
ICML-2019-KayaHD #comprehension: Shallow-Deep Networks: Understanding and Mitigating Network Overthinking (YK, SH, TD), pp. 3301–3310.
ICML-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.
ICML-2019-KoLWDWL #named #robust: POPQORN: Quantifying Robustness of Recurrent Neural Networks (CYK, ZL, LW, LD, NW, DL), pp. 3468–3477.
ICML-2019-Kornblith0LH #revisited #similarity: Similarity of Neural Network Representations Revisited (SK, MN0, HL, GEH), pp. 3519–3529.
ICML-2019-Labatie: Characterizing Well-Behaved vs. Pathological Deep Neural Networks (AL), pp. 3611–3621.
ICML-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.
ICML-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.
ICML-2019-LiDMMHH #learning #named: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning (HYL, WD, XM, CM, FH, BGH), pp. 3825–3834.
ICML-2019-LiGDVK #graph #learning #similarity: Graph Matching Networks for Learning the Similarity of Graph Structured Objects (YL, CG, TD, OV, PK), pp. 3835–3845.
ICML-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.
ICML-2019-LiYZH: Feature-Critic Networks for Heterogeneous Domain Generalization (YL, YY, WZ, TMH), pp. 3915–3924.
ICML-2019-Ma0KW0 #graph: Disentangled Graph Convolutional Networks (JM, PC0, KK, XW0, WZ0), pp. 4212–4221.
ICML-2019-MahoneyM #modelling: Traditional and Heavy Tailed Self Regularization in Neural Network Models (MWM, CM), pp. 4284–4293.
ICML-2019-MaronFSL #invariant #on the: On the Universality of Invariant Networks (HM, EF, NS, YL), pp. 4363–4371.
ICML-2019-MehtaCR #graph #probability: Stochastic Blockmodels meet Graph Neural Networks (NM, LC, PR), pp. 4466–4474.
ICML-2019-MellerFAG #fault: Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization (EM, AF, UA, MG), pp. 4486–4495.
ICML-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.
ICML-2019-MostafaW #parametricity #performance: Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization (HM, XW), pp. 4646–4655.
ICML-2019-NayakMSRC: Zero-Shot Knowledge Distillation in Deep Networks (GKN, KRM, VS, VBR, AC), pp. 4743–4751.
ICML-2019-NoklandE #fault: Training Neural Networks with Local Error Signals (AN, LHE), pp. 4839–4850.
ICML-2019-OdenaOAG #debugging #fuzzing #named: TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing (AO, CO, DA, IJG), pp. 4901–4911.
ICML-2019-OonoS #approximate #estimation #parametricity: Approximation and non-parametric estimation of ResNet-type convolutional neural networks (KO, TS), pp. 4922–4931.
ICML-2019-PanousisCT #contest #parametricity: Nonparametric Bayesian Deep Networks with Local Competition (KPP, SC, ST), pp. 4980–4988.
ICML-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.
ICML-2019-PengWCH #collaboration: Collaborative Channel Pruning for Deep Networks (HP, JW, SC, JH), pp. 5113–5122.
ICML-2019-QuBT #graph #markov #named: GMNN: Graph Markov Neural Networks (MQ, YB, JT0), pp. 5241–5250.
ICML-2019-RahamanBADLHBC #bias #on the: On the Spectral Bias of Neural Networks (NR, AB, DA, FD, ML, FAH, YB, ACC), pp. 5301–5310.
ICML-2019-RahmanJG #compilation: Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation (TR, SJ, VG), pp. 5311–5320.
ICML-2019-RatzlaffL #generative #named: HyperGAN: A Generative Model for Diverse, Performant Neural Networks (NR, FL), pp. 5361–5369.
ICML-2019-ShenHCD #independence #testing: Conditional Independence in Testing Bayesian Networks (YS, HH, AC, AD), pp. 5701–5709.
ICML-2019-ShiK0 #modelling #scalability: Scalable Training of Inference Networks for Gaussian-Process Models (JS, MEK, JZ0), pp. 5758–5768.
ICML-2019-Simon-GabrielOB #first-order: First-Order Adversarial Vulnerability of Neural Networks and Input Dimension (CJSG, YO, LB, BS, DLP), pp. 5809–5817.
ICML-2019-SimsekliSG #analysis #probability: A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks (US, LS, MG), pp. 5827–5837.
ICML-2019-SinghTJGB #generative #parametricity: Non-Parametric Priors For Generative Adversarial Networks (RS, PKT, SJ, RG, MWB), pp. 5838–5847.
ICML-2019-TaiBV: Equivariant Transformer Networks (KST, PB, GV), pp. 6086–6095.
ICML-2019-TanL #named #scalability: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (MT, QVL), pp. 6105–6114.
ICML-2019-TranKSK #named #using: DeepNose: Using artificial neural networks to represent the space of odorants (NBT, DRK, SS, AAK), pp. 6305–6314.
ICML-2019-TurnerHFSY #generative: Metropolis-Hastings Generative Adversarial Networks (RDT, JH, EF, YS, JY), pp. 6345–6353.
ICML-2019-VladimirovaVMA #comprehension: Understanding Priors in Bayesian Neural Networks at the Unit Level (MV, JV, PM, JA), pp. 6458–6467.
ICML-2019-Wang0XZ: Convolutional Poisson Gamma Belief Network (CW, BC0, SX, MZ), pp. 6515–6525.
ICML-2019-WangN: State-Regularized Recurrent Neural Networks (CW, MN), pp. 6596–6606.
ICML-2019-WangZB #bias #matter: Bias Also Matters: Bias Attribution for Deep Neural Network Explanation (SW, TZ, JAB), pp. 6659–6667.
ICML-2019-WangZB19a: Jumpout : Improved Dropout for Deep Neural Networks with ReLUs (SW, TZ, JAB), pp. 6668–6676.
ICML-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.
ICML-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.
ICML-2019-WuSZFYW #graph: Simplifying Graph Convolutional Networks (FW, AHSJ, TZ, CF, TY, KQW), pp. 6861–6871.
ICML-2019-YangWLCXS0X #named #performance: LegoNet: Efficient Convolutional Neural Networks with Lego Filters (ZY, YW, CL, HC, CX, BS, CX0, CX0), pp. 7005–7014.
ICML-2019-YoonSM #adaptation #learning #named: TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning (SWY, JS, JM), pp. 7115–7123.
ICML-2019-YouYL #graph: Position-aware Graph Neural Networks (JY, RY, JL), pp. 7134–7143.
ICML-2019-YuCGY #graph #learning #named: DAG-GNN: DAG Structure Learning with Graph Neural Networks (YY, JC, TG, MY), pp. 7154–7163.
ICML-2019-YurochkinAGGHK #learning #parametricity: Bayesian Nonparametric Federated Learning of Neural Networks (MY, MA, SG, KHG, TNH, YK), pp. 7252–7261.
ICML-2019-YuTRKSAZL #distributed #learning: Distributed Learning over Unreliable Networks (CY, HT, CR, SK, AS, DA, CZ, JL0), pp. 7202–7212.
ICML-2019-Zhang #invariant: Making Convolutional Networks Shift-Invariant Again (RZ), pp. 7324–7334.
ICML-2019-ZhangGMO #generative #self: Self-Attention Generative Adversarial Networks (HZ0, IJG, DNM, AO), pp. 7354–7363.
ICML-2019-ZhangHK #design #distributed #graph #named: Circuit-GNN: Graph Neural Networks for Distributed Circuit Design (GZ, HH, DK), pp. 7364–7373.
ICML-2019-ZhangS #learning: Co-Representation Network for Generalized Zero-Shot Learning (FZ, GS), pp. 7434–7443.
ICML-2019-ZhangZ: Interpreting Adversarially Trained Convolutional Neural Networks (TZ, ZZ), pp. 7502–7511.
ICML-2019-ZhaoHDSZ #using: Improving Neural Network Quantization without Retraining using Outlier Channel Splitting (RZ, YH, JD, CDS, ZZ), pp. 7543–7552.
ICML-2019-ZhouLLLZZ #comprehension #towards: Toward Understanding the Importance of Noise in Training Neural Networks (MZ, TL, YL, DL, EZ, TZ), pp. 7594–7602.
KDD-2019-0001WAT #graph: Graph Convolutional Networks with EigenPooling (YM0, SW, CCA, JT), pp. 723–731.
KDD-2019-AmelkinS #recommendation #social: Fighting Opinion Control in Social Networks via Link Recommendation (VA, AKS), pp. 677–685.
KDD-2019-CenZZYZ0 #learning #multi #representation: Representation Learning for Attributed Multiplex Heterogeneous Network (YC, XZ, JZ, HY, JZ, JT0), pp. 1358–1368.
KDD-2019-ChenBF #modelling #on the: On Dynamic Network Models and Application to Causal Impact (YCC, ASB, JLF), pp. 1194–1204.
KDD-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.
KDD-2019-Do0V #graph transformation #policy #predict: Graph Transformation Policy Network for Chemical Reaction Prediction (KD, TT0, SV), pp. 750–760.
KDD-2019-DongBB: Network Density of States (KD, ARB, DB), pp. 1152–1161.
KDD-2019-Eliassi-RadCL #bias: Incompleteness in Networks: Biases, Skewed Results, and Some Solutions (TER, RSC, TL), pp. 3217–3218.
KDD-2019-FanZHSHML #graph #recommendation: Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation (SF, JZ, XH, CS, LH, BM, YL), pp. 2478–2486.
KDD-2019-FawazKPSM #quantum: Training and Meta-Training Binary Neural Networks with Quantum Computing (AF, PK, SP, SS, PM), pp. 1674–1681.
KDD-2019-GaoJ #graph #learning #representation: Graph Representation Learning via Hard and Channel-Wise Attention Networks (HG, SJ), pp. 741–749.
KDD-2019-GaoPH #graph #random: Conditional Random Field Enhanced Graph Convolutional Neural Networks (HG, JP, HH), pp. 276–284.
KDD-2019-GaoPH19a #generative #named #proximity: ProGAN: Network Embedding via Proximity Generative Adversarial Network (HG, JP, HH), pp. 1308–1316.
KDD-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.
KDD-2019-GrislainPT #probability #realtime: Recurrent Neural Networks for Stochastic Control in Real-Time Bidding (NG, NP0, AT), pp. 2801–2809.
KDD-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.
KDD-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.
KDD-2019-HartvigsenSKR #adaptation #classification #policy: Adaptive-Halting Policy Network for Early Classification (TH, CS, XK, EAR), pp. 101–110.
KDD-2019-HeLLH #learning: Learning Network-to-Network Model for Content-rich Network Embedding (ZH, JL0, NL, YH), pp. 1037–1045.
KDD-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.
KDD-2019-HuangSLH #graph #random: Graph Recurrent Networks With Attributed Random Walks (XH, QS, YL, XH), pp. 732–740.
KDD-2019-HuFS #learning: Adversarial Learning on Heterogeneous Information Networks (BH, YF0, CS), pp. 120–129.
KDD-2019-HuH #learning #named #set: Sets2Sets: Learning from Sequential Sets with Neural Networks (HH, XH0), pp. 1491–1499.
KDD-2019-JinHSWLSK #email: Smart Roles: Inferring Professional Roles in Email Networks (DJ, MH, TS, MW, WL, LS, DK), pp. 2923–2933.
KDD-2019-JinRKKRK #summary: Latent Network Summarization: Bridging Network Embedding and Summarization (DJ, RAR, EK, SK, AR, DK), pp. 987–997.
KDD-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.
KDD-2019-KumarZL #interactive #predict: Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks (SK, XZ, JL), pp. 1269–1278.
KDD-2019-LiGL0 #adaptation #feature model: Adaptive Unsupervised Feature Selection on Attributed Networks (JL, RG, CL, HL0), pp. 92–100.
KDD-2019-LiQWM #ranking: Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (PL0, ZQ, XW, DM), pp. 2032–2040.
KDD-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.
KDD-2019-LiuTLYZH: Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding (NL, QT, YL, HY, JZ, XH), pp. 932–940.
KDD-2019-MaKL #recommendation: Hierarchical Gating Networks for Sequential Recommendation (CM, PK, XL), pp. 825–833.
KDD-2019-MartinM #quality #statistics: Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks (CHM, MWM), pp. 3239–3240.
KDD-2019-MengZXZX #predict: A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction (QM, HZ, KX, LZ, HX), pp. 14–24.
KDD-2019-OuyangZLZXLD #predict: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction (WO, XZ, LL, HZ, XX, ZL, YD), pp. 2078–2086.
KDD-2019-PangSH #detection: Deep Anomaly Detection with Deviation Networks (GP, CS, AvdH), pp. 353–362.
KDD-2019-ParkKDZF #graph #using: Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks (NP, AK, XLD, TZ, CF), pp. 596–606.
KDD-2019-RozenshteinG #mining: Mining Temporal Networks (PR, AG), pp. 3225–3226.
KDD-2019-ShangSL0 #mining: Constructing and Mining Heterogeneous Information Networks from Massive Text (JS, JS, LL, JH0), pp. 3191–3192.
KDD-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.
KDD-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.
KDD-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.
KDD-2019-TuM0P0 #named #optimisation: AutoNE: Hyperparameter Optimization for Massive Network Embedding (KT, JM, PC0, JP, WZ0), pp. 216–225.
KDD-2019-VermaZ #graph: Stability and Generalization of Graph Convolutional Neural Networks (SV, ZLZ), pp. 1539–1548.
KDD-2019-Wang00LC #graph #named #recommendation: KGAT: Knowledge Graph Attention Network for Recommendation (XW, XH0, YC0, ML0, TSC), pp. 950–958.
KDD-2019-WangWZPL #algorithm #personalisation #recommendation: Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation (JW, NW, WXZ, FP, XL), pp. 539–547.
KDD-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.
KDD-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.
KDD-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.
KDD-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.
KDD-2019-WuHX #classification #graph #named: DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification (JW, JH, JX), pp. 406–415.
KDD-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.
KDD-2019-XuH0D #predict #social: Link Prediction with Signed Latent Factors in Signed Social Networks (PX, WH, JW0, BD), pp. 1046–1054.
KDD-2019-Yang #framework #graph #named #platform: AliGraph: A Comprehensive Graph Neural Network Platform (HY), pp. 3165–3166.
KDD-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.
KDD-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.
KDD-2019-ZhangSHSC #graph: Heterogeneous Graph Neural Network (CZ, DS, CH0, AS, NVC), pp. 793–803.
KDD-2019-ZhaoDSZLX #learning #multi #relational: Multiple Relational Attention Network for Multi-task Learning (JZ, BD, LS, FZ, WL, HX), pp. 1123–1131.
KDD-2019-ZheSX #community #detection #scalability: Community Detection on Large Complex Attribute Network (CZ, AS, XX), pp. 2041–2049.
KDD-2019-ZhouMGBB #comprehension #using: Understanding Consumer Journey using Attention based Recurrent Neural Networks (YZ, SM, JG, TB, NB), pp. 3102–3111.
KDD-2019-ZhouMZ #memory management #personalisation #recommendation #topic: Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (XZ, CM, ZZ), pp. 3018–3028.
KDD-2019-ZhuZ00 #graph #robust: Robust Graph Convolutional Networks Against Adversarial Attacks (DZ, ZZ, PC0, WZ0), pp. 1399–1407.
KDD-2019-ZugnerG #graph #robust: Certifiable Robustness and Robust Training for Graph Convolutional Networks (DZ, SG), pp. 246–256.
MoDELS-2019-BurguenoCG #architecture #model transformation: An LSTM-Based Neural Network Architecture for Model Transformations (LB, JC, SG), pp. 294–299.
OOPSLA-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.
PLATEAU-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.
PEPM-2019-XuZWCGX: Method name suggestion with hierarchical attention networks (SX, SZ, WW, XC, CG, JX0), pp. 10–21.
PLDI-2019-AndersonPDC #abstraction #approach #optimisation #robust: Optimization and abstraction: a synergistic approach for analyzing neural network robustness (GA, SP, ID, SC), pp. 731–744.
PLDI-2019-SmolkaKKFHK0 #probability #scalability #verification: Scalable verification of probabilistic networks (SS, PK0, DMK, NF, JH, DK, AS0), pp. 190–203.
POPL-2019-SinghGPV #abstract domain: An abstract domain for certifying neural networks (GS, TG, MP, MTV), p. 30.
SAS-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.
ASE-2019-BaoLWF #automation #generative #named: ACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks (LB, XL, FW, BF), pp. 465–476.
ASE-2019-BuiYJ #named: AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation (NDQB, YY, LJ), pp. 38–41.
ASE-2019-ChenPSAZ #cyber-physical #fuzzing #testing: Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences (YC, CMP, JS, SA, FZ), pp. 962–973.
ASE-2019-DuX000Z #analysis #framework: A Quantitative Analysis Framework for Recurrent Neural Network (XD, XX, YL0, LM0, YL0, JZ), pp. 1062–1065.
ASE-2019-GopinathCPT: Property Inference for Deep Neural Networks (DG, HC, CSP, AT), pp. 797–809.
ASE-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.
ASE-2019-XieCLM0Z #fuzzing: Coverage-Guided Fuzzing for Feedforward Neural Networks (XX, HC, YL0, LM0, YL0, JZ), pp. 1162–1165.
ESEC-FSE-2019-Golzadeh #congruence #dependence: Analysing socio-technical congruence in the package dependency network of Cargo (MG), pp. 1226–1228.
ESEC-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.
ASPLOS-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.
ASPLOS-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.
ASPLOS-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.
ASPLOS-2019-RouhaniCK #framework #named: DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks (BDR, HC, FK), pp. 485–497.
CASE-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.
CASE-2019-JiangL #bound #game studies: Bayesian Stackelberg Game Model for Water Supply Networks against Bounded Rational Interdictors (JJ, XL), pp. 842–847.
CASE-2019-KebriaKJN19a #fuzzy #nondeterminism: Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties (PMK, AK, SMJJ, SN), pp. 1625–1630.
CASE-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.
CASE-2019-MaoDSK #optimisation: Optimizing a UAV-based Emergency Medical Service Network for Trauma Injury Patients (RM, BD, DS, NK), pp. 721–726.
CASE-2019-Martinez-SeisLW #community #quality #social: Measure community quality by attribute importance and density in social networks (BMS, XL, XW), pp. 628–633.
CASE-2019-NguyenLLGL #self #using: Visual-Guided Robot Arm Using Self-Supervised Deep Convolutional Neural Networks (VTN, CL, CHGL, SMG, JJJL), pp. 1415–1420.
CASE-2019-NiuLNLW #detection #fault #generative #named #using: DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network (SN, HL, TN, BL, XW), pp. 127–132.
CASE-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.
CASE-2019-SubramanianC #automation #embedded #normalisation: Mean Spectral Normalization of Deep Neural Networks for Embedded Automation (AKS, NYC), pp. 249–256.
CASE-2019-SunLY #detection #using: Railway Joint Detection Using Deep Convolutional Neural Networks (YS, YL, CY), pp. 235–240.
CASE-2019-SunW #algorithm #assembly #design #hybrid: Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing (BqS, LW), pp. 885–890.
CASE-2019-TsayL #automation #multi #visual notation: Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks (CT, ZL), pp. 1802–1807.
CASE-2019-WuPZ #algorithm #fault tolerance #heuristic: A heuristic pathfinding algorithm for dynamic fault tolerance in manufacturing networks (YW, GP, HZ), pp. 1580–1585.
CASE-2019-ZhangDWLL #estimation: Remaining Useful Life Estimation Based on a New Convolutional and Recurrent Neural Network (XZ, YD, LW, FL, WL), pp. 317–322.
CASE-2019-ZhangLWGG #fault #learning #using: Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network (ZZ, XL, LW, LG0, YG), pp. 305–310.
CASE-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.
CASE-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.
FASE-2019-EniserGS #fault #locality #named: DeepFault: Fault Localization for Deep Neural Networks (HFE, SG, AS0), pp. 171–191.
CAV-2019-CeskaK #abstraction #analysis: Semi-quantitative Abstraction and Analysis of Chemical Reaction Networks (MC0, JK), pp. 475–496.
CAV-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.
CAV-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.
CAV-2019-GiannarakisBMW #fault tolerance #performance #refinement #verification: Efficient Verification of Network Fault Tolerance via Counterexample-Guided Refinement (NG, RB, RM, DW), pp. 305–323.
ICST-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.
ICSA-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.
JCDL-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.
JCDL-2018-SiegelLPA: Extracting Scientific Figures with Distantly Supervised Neural Networks (NS, NL, RP, WA), pp. 223–232.
JCDL-2018-ZhangW #ranking: Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement (FZ, SW), pp. 127–130.
EDM-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).
ICPC-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.
ICSME-2018-DecanMC #dependence #evolution #on the: On the Evolution of Technical Lag in the npm Package Dependency Network (AD, TM, EC), pp. 404–414.
ICSME-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.
MSR-2018-DecanMC #dependence #on the #security: On the impact of security vulnerabilities in the npm package dependency network (AD, TM, EC), pp. 181–191.
SANER-2018-KatzRS #decompiler #using: Using recurrent neural networks for decompilation (DSK, JR, ES), pp. 346–356.
SANER-2018-LiSS #automation #requirements: Extracting features from requirements: Achieving accuracy and automation with neural networks (YL0, SS, GS), pp. 477–481.
SANER-2018-NguyenNPN #source code: A deep neural network language model with contexts for source code (ATN0, TDN, HDP, TNN), pp. 323–334.
CIAA-2018-Condon #algorithm #analysis #design #on the: On Design and Analysis of Chemical Reaction Network Algorithms (AC), pp. 1–3.
FM-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.
AIIDE-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-PLAY-2018-RoohiTKH #analysis: Neural Network Based Facial Expression Analysis of GameEvents: A Cautionary Tale (SR, JT, JMK, PH), pp. 429–437.
CIG-2018-WanK #evaluation: Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks (SW, TK), pp. 1–8.
CIG-2018-WoofC #game studies #learning: Learning to Play General Video-Games via an Object Embedding Network (WW, KC), pp. 1–8.
FDG-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.
CIKM-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.
CIKM-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.
CIKM-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.
CIKM-2018-ChaeKKL #collaboration #framework #generative #named: CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks (DKC, JSK, SWK, JTL), pp. 137–146.
CIKM-2018-ChenQLS #quote: “Bridge”: Enhanced Signed Directed Network Embedding (YC, TQ, HL, KS), pp. 773–782.
CIKM-2018-ChenSTPCS: Enhanced Network Embeddings via Exploiting Edge Labels (HC, XS, YT, BP, MC, SS), pp. 1579–1582.
CIKM-2018-ChenWH #graph #predict: Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (YC, ZW, XH), pp. 1655–1658.
CIKM-2018-CirsteaMMG0 #correlation #multi #using: Correlated Time Series Forecasting using Multi-Task Deep Neural Networks (RGC, DVM, GMM, CG, BY0), pp. 1527–1530.
CIKM-2018-DerrAT #modelling: Signed Network Modeling Based on Structural Balance Theory (TD, CCA, JT), pp. 557–566.
CIKM-2018-EsuliF0 #quantifier #sentiment: A Recurrent Neural Network for Sentiment Quantification (AE, AMF, FS0), pp. 1775–1778.
CIKM-2018-FanLFSL #identification #semantics: A Globalization-Semantic Matching Neural Network for Paraphrase Identification (MF, WL, YF, MS, PL0), pp. 2067–2075.
CIKM-2018-FanSW #detection: Abnormal Event Detection via Heterogeneous Information Network Embedding (SF, CS, XW0), pp. 1483–1486.
CIKM-2018-GalimbertiBBCG #mining: Mining (maximal) Span-cores from Temporal Networks (EG, AB, FB, CC, FG), pp. 107–116.
CIKM-2018-GaoJLD0 #identification #social: User Identification with Spatio-Temporal Awareness across Social Networks (XG, WJ, YL0, YD, WD0), pp. 1831–1834.
CIKM-2018-GuanJWC #graph: Shared Embedding Based Neural Networks for Knowledge Graph Completion (SG, XJ, YW, XC), pp. 247–256.
CIKM-2018-GuoCZGL #detection #social: Rumor Detection with Hierarchical Social Attention Network (HG, JC, YZ, JG, JL), pp. 943–951.
CIKM-2018-HidasiK #recommendation: Recurrent Neural Networks with Top-k Gains for Session-based Recommendations (BH, AK), pp. 843–852.
CIKM-2018-HosseiniCWSS #named: HeteroMed: Heterogeneous Information Network for Medical Diagnosis (AH, TC0, WW, YS, MS), pp. 763–772.
CIKM-2018-HuangZZC #named #predict: DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction (CH0, JZ, YZ, NVC), pp. 1423–1432.
CIKM-2018-HuSZY #recommendation: Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network (BH, CS, WXZ, TY), pp. 1683–1686.
CIKM-2018-HuZY #collaboration #named #recommendation: CoNet: Collaborative Cross Networks for Cross-Domain Recommendation (GH, YZ, QY), pp. 667–676.
CIKM-2018-JiangW #named #query: RIN: Reformulation Inference Network for Context-Aware Query Suggestion (JYJ, WW0), pp. 197–206.
CIKM-2018-KangFYXCT #multi #named #ranking: X-Rank: Explainable Ranking in Complex Multi-Layered Networks (JK, SF, HY, YX, NC, HT), pp. 1959–1962.
CIKM-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.
CIKM-2018-LiGC #named: VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems (YL, TG, CXC), pp. 577–586.
CIKM-2018-Liu0SZ #predict: Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News (QL, XC0, SS, SZ), pp. 1603–1606.
CIKM-2018-LiuCYZLS #detection #graph: Heterogeneous Graph Neural Networks for Malicious Account Detection (ZL, CC, XY, JZ, XL, LS), pp. 2077–2085.
CIKM-2018-LvZCXYL #predict: Homepage Augmentation by Predicting Links in Heterogenous Networks (JL, JZ, WC, QX, ZY, QL0), pp. 1611–1614.
CIKM-2018-MeiRCNMN #interactive #recommendation: An Attentive Interaction Network for Context-aware Recommendations (LM, PR, ZC, LN, JM0, JYN), pp. 157–166.
CIKM-2018-PalC: Label Propagation with Neural Networks (AP, DC), pp. 1671–1674.
CIKM-2018-SarkarB0 #on the: On Rich Clubs of Path-Based Centralities in Networks (SS, SB, AM0), pp. 567–576.
CIKM-2018-ShuaiLYLLY #behaviour #social: Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions (HHS, YCL, DNY, YFL, WCL, PSY), pp. 597–606.
CIKM-2018-SunJSPOW #multi #pointer #summary: Multi-Source Pointer Network for Product Title Summarization (FS, PJ, HS, CP, WO, XW), pp. 7–16.
CIKM-2018-Tang #probability #social: Stochastic Coupon Probing in Social Networks (ST), pp. 1023–1031.
CIKM-2018-Yu0LYL #adaptation #identification #recommendation #social: Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation (JY, MG0, JL, HY, HL0), pp. 357–366.
CIKM-2018-ZhangLNLX #graph #multi: Multiresolution Graph Attention Networks for Relevance Matching (TZ, BL, DN, KL, YX), pp. 933–942.
CIKM-2018-ZhangLS: Improve Network Embeddings with Regularization (YZ0, JL, OS), pp. 1643–1646.
CIKM-2018-ZhouYWBEYZW #named #personalisation #ranking: PRRE: Personalized Relation Ranking Embedding for Attributed Networks (SZ, HY, XW0, JB, ME, PY, JZ, CW0), pp. 823–832.
ECIR-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.
ECIR-2018-GalkoE #retrieval: Biomedical Question Answering via Weighted Neural Network Passage Retrieval (FG, CE), pp. 523–528.
ECIR-2018-RepkeK #email: Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks (TR, RK), pp. 114–126.
ICML-2018-AroraCH #on the #optimisation: On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization (SA, NC, EH), pp. 244–253.
ICML-2018-Baity-JesiSGSAC: Comparing Dynamics: Deep Neural Networks versus Glassy Systems (MBJ, LS, MG, SS, GBA, CC, YL, MW, GB), pp. 324–333.
ICML-2018-BalestrieroB: A Spline Theory of Deep Networks (RB, RGB), pp. 383–392.
ICML-2018-BangS #generative #using: Improved Training of Generative Adversarial Networks using Representative Features (DB, HS), pp. 442–451.
ICML-2018-BinkowskiMD: Autoregressive Convolutional Neural Networks for Asynchronous Time Series (MB, GM, PD), pp. 579–588.
ICML-2018-BojanowskiJLS #generative #optimisation: Optimizing the Latent Space of Generative Networks (PB, AJ, DLP, AS), pp. 599–608.
ICML-2018-CaiYZHY #architecture #performance: Path-Level Network Transformation for Efficient Architecture Search (HC, JY, WZ0, SH, YY0), pp. 677–686.
ICML-2018-ChenBLR #adaptation #multi #named #normalisation: GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks (ZC0, VB, CYL, AR), pp. 793–802.
ICML-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.
ICML-2018-ChenZS #graph #probability #reduction: Stochastic Training of Graph Convolutional Networks with Variance Reduction (JC, JZ0, LS), pp. 941–949.
ICML-2018-DabneyOSM #learning: Implicit Quantile Networks for Distributional Reinforcement Learning (WD, GO, DS, RM), pp. 1104–1113.
ICML-2018-DaiZGW #using: Compressing Neural Networks using the Variational Information Bottleneck (BD, CZ, BG, DPW), pp. 1143–1152.
ICML-2018-DezfouliBN: Variational Network Inference: Strong and Stable with Concrete Support (AD, EVB, RN), pp. 1212–1221.
ICML-2018-DiengRAB #named: Noisin: Unbiased Regularization for Recurrent Neural Networks (ABD, RR, JA, DMB), pp. 1251–1260.
ICML-2018-DraxlerVSH #energy: Essentially No Barriers in Neural Network Energy Landscape (FD, KV, MS, FAH), pp. 1308–1317.
ICML-2018-DuL #on the #polynomial #power of: On the Power of Over-parametrization in Neural Networks with Quadratic Activation (SSD, JDL), pp. 1328–1337.
ICML-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.
ICML-2018-FurlanelloLTIA: Born-Again Neural Networks (TF, ZCL, MT, LI, AA), pp. 1602–1611.
ICML-2018-GaoCL #named #optimisation: Spotlight: Optimizing Device Placement for Training Deep Neural Networks (YG, LC0, BL), pp. 1662–1670.
ICML-2018-GaoW #learning #parallel: Parallel Bayesian Network Structure Learning (TG, DW), pp. 1671–1680.
ICML-2018-GhoshYD #learning: Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors (SG, JY, FDV), pp. 1739–1748.
ICML-2018-GilraG #learning: Non-Linear Motor Control by Local Learning in Spiking Neural Networks (AG, WG), pp. 1768–1777.
ICML-2018-HefnyM0SG #policy #predict: Recurrent Predictive State Policy Networks (AH, ZM, WS0, SSS, GJG), pp. 1954–1963.
ICML-2018-HelfrichWY #orthogonal: Orthogonal Recurrent Neural Networks with Scaled Cayley Transform (KH, DW, QY0), pp. 1974–1983.
ICML-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.
ICML-2018-JiaLQA: Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks (ZJ, SL, CRQ, AA), pp. 2279–2288.
ICML-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.
ICML-2018-JinKL #testing: Network Global Testing by Counting Graphlets (JJ, ZTK, SL), pp. 2338–2346.
ICML-2018-JinYXYJFY #named #performance: WSNet: Compact and Efficient Networks Through Weight Sampling (XJ, YY, NX0, JY, NJ, JF, SY), pp. 2357–2366.
ICML-2018-KhrulkovO #generative #geometry: Geometry Score: A Method For Comparing Generative Adversarial Networks (VK, IVO), pp. 2626–2634.
ICML-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.
ICML-2018-KumarSJ #kernel #metric: Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings (AK, SS, UJ), pp. 2810–2819.
ICML-2018-LakeB #composition: Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks (BML, MB), pp. 2879–2888.
ICML-2018-LaurentB #linear: Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global (TL0, JvB), pp. 2908–2913.
ICML-2018-LaurentB18a #multi: The Multilinear Structure of ReLU Networks (TL0, JvB), pp. 2914–2922.
ICML-2018-LeePCXS: Gated Path Planning Networks (LL, EP, DSC, EPX, RS), pp. 2953–2961.
ICML-2018-LiangSLS #classification #comprehension: Understanding the Loss Surface of Neural Networks for Binary Classification (SL, RS, YL, RS), pp. 2840–2849.
ICML-2018-LiGD #bias #induction #learning: Explicit Inductive Bias for Transfer Learning with Convolutional Networks (XL0, YG, FD), pp. 2830–2839.
ICML-2018-LiH #approach #learning: An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks (QL, SH), pp. 2991–3000.
ICML-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.
ICML-2018-MartinLV #approximate #clustering #performance: Fast Approximate Spectral Clustering for Dynamic Networks (LM, AL, PV), pp. 3420–3429.
ICML-2018-MehrabiTY #approximate #bound #power of: Bounds on the Approximation Power of Feedforward Neural Networks (MM, AT, MIY), pp. 3450–3458.
ICML-2018-MetzlerSVB #flexibility #named #retrieval #robust: prDeep: Robust Phase Retrieval with a Flexible Deep Network (CAM, PS, AV, RGB), pp. 3498–3507.
ICML-2018-MiconiSC: Differentiable plasticity: training plastic neural networks with backpropagation (TM, KOS, JC), pp. 3556–3565.
ICML-2018-MirmanGV #abstract interpretation #robust: Differentiable Abstract Interpretation for Provably Robust Neural Networks (MM, TG, MTV), pp. 3575–3583.
ICML-2018-NguyenM0: Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions (QN0, MCM, MH0), pp. 3737–3746.
ICML-2018-NitandaS #functional: Functional Gradient Boosting based on Residual Network Perception (AN, TS), pp. 3816–3825.
ICML-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.
ICML-2018-OlivaDZPSXS: Transformation Autoregressive Networks (JBO, AD, MZ, BP, RS, EPX, JS), pp. 3895–3904.
ICML-2018-OstrovskiDM #generative #modelling: Autoregressive Quantile Networks for Generative Modeling (GO, WD, RM), pp. 3933–3942.
ICML-2018-Oymak #learning: Learning Compact Neural Networks with Regularization (SO), pp. 3963–3972.
ICML-2018-PangDZ #analysis #linear: Max-Mahalanobis Linear Discriminant Analysis Networks (TP, CD, JZ0), pp. 4013–4022.
ICML-2018-QiaoZ0WY #image #recognition #scalability: Gradually Updated Neural Networks for Large-Scale Image Recognition (SQ, ZZ, WS0, BW0, ALY), pp. 4185–4194.
ICML-2018-QiuCCS #named: DCFNet: Deep Neural Network with Decomposed Convolutional Filters (QQ, XC, ARC, GS), pp. 4195–4204.
ICML-2018-ReagenGAMRWB #encoding #named: Weightless: Lossy weight encoding for deep neural network compression (BR, UG, BA, MM, AMR, GYW, DB0), pp. 4321–4330.
ICML-2018-SafranS: Spurious Local Minima are Common in Two-Layer ReLU Neural Networks (IS, OS), pp. 4430–4438.
ICML-2018-SajjadiPMS: Tempered Adversarial Networks (MSMS, GP, AM, BS), pp. 4448–4456.
ICML-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.
ICML-2018-SantoroHBML #reasoning: Measuring abstract reasoning in neural networks (AS, FH, DGTB, ASM, TPL), pp. 4477–4486.
ICML-2018-SerraTR #bound #linear: Bounding and Counting Linear Regions of Deep Neural Networks (TS, CT, SR), pp. 4565–4573.
ICML-2018-SewardUBJH #first-order #generative: First Order Generative Adversarial Networks (CS, TU, UB, NJ, SH), pp. 4574–4583.
ICML-2018-SrinivasJALF #learning: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control (AS, AJ, PA, SL, CF), pp. 4739–4748.
ICML-2018-SunYDB #matrix: Convolutional Imputation of Matrix Networks (QS, MY, DLD, SPB), pp. 4825–4834.
ICML-2018-TaoCHFC #generative: Chi-square Generative Adversarial Network (CT, LC, RH, JF, LC), pp. 4894–4903.
ICML-2018-TeyeAS #estimation #nondeterminism #normalisation: Bayesian Uncertainty Estimation for Batch Normalized Deep Networks (MT, HA, KS0), pp. 4914–4923.
ICML-2018-WangVLGGZ: Adversarial Distillation of Bayesian Neural Network Posteriors (KCW, PV, JL, LG, RBG, RSZ), pp. 5177–5186.
ICML-2018-WehrmannCB #classification #multi: Hierarchical Multi-Label Classification Networks (JW, RC, RCB), pp. 5225–5234.
ICML-2018-WeinshallCA #education #learning: Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks (DW, GC, DA), pp. 5235–5243.
ICML-2018-WeissGY #automaton #query #using: Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples (GW, YG, EY), pp. 5244–5253.
ICML-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.
ICML-2018-WenHSZCL #predict #recognition: Deep Predictive Coding Network for Object Recognition (HW, KH, JS, YZ, EC, ZL), pp. 5263–5272.
ICML-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.
ICML-2018-XuLTSKJ #graph #learning #representation: Representation Learning on Graphs with Jumping Knowledge Networks (KX, CL, YT, TS, KiK, SJ), pp. 5449–5458.
ICML-2018-YangK #modelling #process #relational: Dependent Relational Gamma Process Models for Longitudinal Networks (SY, HK), pp. 5547–5556.
ICML-2018-YeS #approach: Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach (MY, YS), pp. 5616–5625.
ICML-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.
ICML-2018-ZhangLD #performance: Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization (JZ, QL, ISD), pp. 5801–5809.
ICML-2018-ZhangNL #geometry: Tropical Geometry of Deep Neural Networks (LZ, GN, LHL), pp. 5819–5827.
ICPR-2018-0001D #recognition: Deep Emotion Transfer Network for Cross-database Facial Expression Recognition (SL0, WD), pp. 3092–3099.
ICPR-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.
ICPR-2018-Aldana-LopezCZG #approach #learning: Dynamic Learning Rate for Neural Networks: A Fixed-Time Stability Approach (RAL, LECM, JZ, DGG, AC), pp. 1378–1383.
ICPR-2018-BallottaBVC #detection #image: Fully Convolutional Network for Head Detection with Depth Images (DB, GB, RV, RC), pp. 752–757.
ICPR-2018-BandyopadhyayNM #axiom #social: A Generic Axiomatic Characterization for Measuring Influence in Social Networks (SB, RN, MNM), pp. 2606–2611.
ICPR-2018-BhuniaBBKB0P #using: Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network (AKB, AB, AKB, AK, PB, PPR0, UP0), pp. 3639–3644.
ICPR-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.
ICPR-2018-BiciciKA: Conditional Information Gain Networks (UCB, CK, LA), pp. 1390–1395.
ICPR-2018-CaiLWY #estimation #multi: Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment (ZC, QL, SW, BY), pp. 495–500.
ICPR-2018-CaoFM #multi #recognition: An End-to-End Neural Network for Multi-line License Plate Recognition (YC, HF, HM), pp. 3698–3703.
ICPR-2018-CaoLZSLS #detection #named #performance: ThinNet: An Efficient Convolutional Neural Network for Object Detection (SC, YL, CZ, QSS, PL, SS), pp. 836–841.
ICPR-2018-ChangWZ #linear #performance #self: Piecewise Linear Units for Fast Self-Normalizing Neural Networks (YC, XW, SZ), pp. 429–434.
ICPR-2018-ChengLYT #image #named #recursion: SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks (XC, XL0, JY0, YT), pp. 147–152.
ICPR-2018-ChenYY #classification #image: Semi-supervised convolutional neural networks with label propagation for image classification (LC, SY, MY0), pp. 1319–1324.
ICPR-2018-CheQ #estimation #segmentation: Dynamic Projected Segmentation Networks For Hand Pose Estimation (YC, YQ), pp. 477–482.
ICPR-2018-ChoiCT #authentication #mobile #probability #random: One-class Random Maxout Probabilistic Network for Mobile Touchstroke Authentication (SC, IC, ABJT), pp. 3359–3364.
ICPR-2018-ChooSJC #classification #multi: Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification (SKC, WS, DjJ, NIC), pp. 103–108.
ICPR-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.
ICPR-2018-CuiB00JH #graph #hybrid #kernel #learning: A Deep Hybrid Graph Kernel Through Deep Learning Networks (LC, LB0, LR0, YW0, YJ0, ERH), pp. 1030–1035.
ICPR-2018-CuiLZLXGJZ #classification: Classification Guided Deep Convolutional Network for Compressed Sensing (WC, SL, SZ, YL0, HX, XG, FJ0, DZ), pp. 2905–2910.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-2018-DongZL #recognition: Dynamic Facial Expression Recognition Based on Convolutional Neural Networks with Dense Connections (JD, HZ, LL), pp. 3433–3438.
ICPR-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.
ICPR-2018-Du0CHW #adaptation #visual notation: Object-Adaptive LSTM Network for Visual Tracking (YD, YY0, SC, YH, HW), pp. 1719–1724.
ICPR-2018-DuSZ #contest #identification #multi: Which Part is Better: Multi-Part Competition Network for person Re-Identification (PD, YS, YZ0), pp. 1634–1639.
ICPR-2018-EleziTVP #learning: Transductive Label Augmentation for Improved Deep Network Learning (IE, AT, SV, MP), pp. 1432–1437.
ICPR-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.
ICPR-2018-Fan: Deep Epitome for Unravelling Generalized Hamming Network (LF), pp. 409–416.
ICPR-2018-FangYZZ: Diversified Dual Domain-Adversarial Neural Networks (YF, QY, WZ, ZZ), pp. 615–620.
ICPR-2018-GaoCZLL #3d: Background Subtraction via 3D Convolutional Neural Networks (YG, HC, XZ0, LL, ZL), pp. 1271–1276.
ICPR-2018-GarrettR #3d #performance #using: Fast Descriptor Extraction for Contextless 3D Registration Using a Fully Convolutional Network (TG, RR), pp. 1211–1216.
ICPR-2018-GasparettoRBPCB: Cross-Dataset Data Augmentation for Convolutional Neural Networks Training (AG, DR, FB, MP, LC, MB, EU, AA), pp. 910–915.
ICPR-2018-GrelssonF #exponential #learning #linear: Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs) (BG, MF), pp. 517–522.
ICPR-2018-HanXW #generative #learning #multi #representation: Learning Multi-view Generator Network for Shared Representation (TH0, XX, YNW), pp. 2062–2068.
ICPR-2018-HanXZL #composition #image #learning: Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss (GH, XX, WSZ, JL), pp. 91–96.
ICPR-2018-HanZG #classification #composition #multi: Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification (YH, SZ, ZG), pp. 284–289.
ICPR-2018-HeGG #learning: Structure Learning of Bayesian Networks by Finding the Optimal Ordering (CCH, XGG, ZgG), pp. 177–182.
ICPR-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.
ICPR-2018-HuiWG #image: Two-Stage Convolutional Network for Image Super-Resolution (ZH, XW, XG), pp. 2670–2675.
ICPR-2018-JeongJLCY0 #estimation: Selective Ensemble Network for Accurate Crowd Density Estimation (JJ, HJ, JL, JC, SY, JYC0), pp. 320–325.
ICPR-2018-JiangWYSLGFZ #recursion: Recursive Inception Network for Super-Resolution (TJ, XW, ZY, WS, GL, SG, HF, QZ), pp. 2759–2764.
ICPR-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.
ICPR-2018-JiuSQ #image: Deep Context Networks for Image Annotation (MJ, HS, LQ), pp. 2422–2427.
ICPR-2018-JollyIKU #design #how #question: How do Convolutional Neural Networks Learn Design? (SJ, BKI, RK, SU), pp. 1085–1090.
ICPR-2018-JyotiD #automation #estimation #geometry #using: Automatic Eye Gaze Estimation using Geometric & Texture-based Networks (SJ, AD), pp. 2474–2479.
ICPR-2018-KasemHJ #image #towards: Revised Spatial Transformer Network towards Improved Image Super-resolutions (HMK, KWH, JJ), pp. 2688–2692.
ICPR-2018-KhalidY #multi #recognition: Multi-Modal Three-Stream Network for Action Recognition (MUK, JY), pp. 3210–3215.
ICPR-2018-KonwerBBBB0P #generative #using: Staff line Removal using Generative Adversarial Networks (AK, AKB, AB, AKB, PB, PPR0, UP0), pp. 1103–1108.
ICPR-2018-KungMZ #adaptation #array: Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks (HTK, BM, SQZ), pp. 1006–1011.
ICPR-2018-LengK: Confidence-Driven Network for Point-to-Set Matching (ML, IAK), pp. 3414–3420.
ICPR-2018-LiaoZWN #detection #named #recognition: Uniface: A Unified Network for Face Detection and Recognition (ZL, PZ, QW, BN), pp. 3531–3536.
ICPR-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.
ICPR-2018-LiCQWW #adaptation #learning #semantics: Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks (RL, WmC0, SQ, HSW, SW), pp. 37–42.
ICPR-2018-LiCZC #detection: Mammographic mass detection based on convolution neural network (YL, HC, LZ, LC), pp. 3850–3855.
ICPR-2018-LiHLHS #consistency #generative: Global and Local Consistent Age Generative Adversarial Networks (PL, YH, QL0, RH, ZS), pp. 1073–1078.
ICPR-2018-LiHY0CHWL #segmentation: Skin Lesion Segmentation via Dense Connected Deconvolutional Network (HL, XH, ZY, FZ0, JZC, LH, TW, BL), pp. 671–675.
ICPR-2018-LingLZG #classification #image #learning: Semi-Supervised Learning via Convolutional Neural Network for Hyperspectral Image Classification (ZL, XL, WZ, SG), pp. 1–6.
ICPR-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.
ICPR-2018-LiuDJQ #classification #image #visual notation: Visual Tree Convolutional Neural Network in Image Classification (YL, YD, RJ, PQ), pp. 758–763.
ICPR-2018-LiuGCL #generative: An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation (YL0, YG, WC, MSL), pp. 219–224.
ICPR-2018-LiuHH #classification: Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification (XL, BH, CH), pp. 688–693.
ICPR-2018-LiuMHWLB: Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting (XL, MM, LH, JvdW, AML0, ADB), pp. 2262–2268.
ICPR-2018-LiuMXP #image #semantics #synthesis: Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks (XL, GM, SX, CP), pp. 988–993.
ICPR-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.
ICPR-2018-LiW #estimation #image: Local Regression Based Hourglass Network for Hand Pose Estimation from a Single Depth Image (JL, ZW), pp. 1767–1772.
ICPR-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.
ICPR-2018-LocBO #documentation #image #security #using: Document Images Watermarking for Security Issue using Fully Convolutional Networks (CVL, JCB, JMO), pp. 1091–1096.
ICPR-2018-LuoKW #generative #image #synthesis: Traffic Sign Image Synthesis with Generative Adversarial Networks (HL, QK, FW), pp. 2540–2545.
ICPR-2018-LuoY #architecture #performance #segmentation: Fast Skin Lesion Segmentation via Fully Convolutional Network with Residual Architecture and CRF (WL, MY), pp. 1438–1443.
ICPR-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.
ICPR-2018-MaH #generative #using: Perceptual Face Completion using a Local-Global Generative Adversarial Network (RM, HH0), pp. 1670–1675.
ICPR-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.
ICPR-2018-MaLHY #estimation #hybrid #using: Image-based Air Pollution Estimation Using Hybrid Convolutional Neural Network (JM, KL, YH, JY), pp. 471–476.
ICPR-2018-ManessiRBNS #automation: Automated Pruning for Deep Neural Network Compression (FM, AR, SB, PN, RS), pp. 657–664.
ICPR-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.
ICPR-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.
ICPR-2018-MohantyDG18a #detection #robust: Robust Scene Text Detection with Deep Feature Pyramid Network and CNN based NMS Model (SM, TD, HPG), pp. 3741–3746.
ICPR-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.
ICPR-2018-OGormanW #video: Balancing Video Analytics Processing and Bandwidth for Edge-Cloud Networks (LO, XW), pp. 2618–2623.
ICPR-2018-ParkAMLCP0PK #generative #named: MMGAN: Manifold-Matching Generative Adversarial Networks (NP, AA, JRAM, KL, JC, DKP, TC0, HP, YK), pp. 1343–1348.
ICPR-2018-PassalisT #information management #similarity #using: Neural Network Knowledge Transfer using Unsupervised Similarity Matching (NP, AT), pp. 716–721.
ICPR-2018-PereraAP #generative #multi #named #using: In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks (PP, MA, VMP), pp. 140–146.
ICPR-2018-Pham0V #graph #memory management #predict #process: Graph Memory Networks for Molecular Activity Prediction (TP, TT0, SV), pp. 639–644.
ICPR-2018-PiantadosiSS #segmentation: Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks (GP, MS, CS), pp. 3917–3922.
ICPR-2018-PramerdorferKL #3d #bound #classification #multi: Multi-View Classification and 3D Bounding Box Regression Networks (CP, MK, MVL), pp. 734–739.
ICPR-2018-QiuXC #flexibility #linear #named: FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks (SQ, XX, BC), pp. 1223–1228.
ICPR-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.
ICPR-2018-RibaFLF #graph #learning #message passing: Learning Graph Distances with Message Passing Neural Networks (PR, AF0, JL0, AF), pp. 2239–2244.
ICPR-2018-Robles-KellyW #image: A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images (ARK, RW), pp. 109–114.
ICPR-2018-ShiLLLM #recognition: Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks (YS, YL, JL, XL, YLM), pp. 2438–2443.
ICPR-2018-ShiWDYL #generative: Data Augmentation with Improved Generative Adversarial Networks (HS, LW, GD, FY, XL), pp. 73–78.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-2018-SongZR #bound: UAV Target Tracking with A Boundary-Decision Network (KS, WZ0, XR), pp. 2576–2581.
ICPR-2018-SunZY #automation #embedded #generative: Pyramid Embedded Generative Adversarial Network for Automated Font Generation (DS, QZ, JY), pp. 976–981.
ICPR-2018-SwamiD #image #named: CANDY: Conditional Adversarial Networks based End-to-End System for Single Image Haze Removal (KS, SKD), pp. 3061–3067.
ICPR-2018-TongT #image #recognition: Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition (ZT, GT), pp. 1289–1294.
ICPR-2018-TsangDX #modelling: Recurrent Neural Networks for Financial Time-Series Modelling (GT, JD, XX), pp. 892–897.
ICPR-2018-Wang #named: ReNN: Rule-embedded Neural Networks (HW), pp. 824–829.
ICPR-2018-WangBZZ #generative: Generating Facial Line-drawing with Convolutional Neural Networks (YW, XB, LZ, SZ), pp. 513–516.
ICPR-2018-WangCYX #self: Self-Attention Based Network for Punctuation Restoration (FW0, WC0, ZY0, BX0), pp. 2803–2808.
ICPR-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.
ICPR-2018-WangLLL #detection #multi: Anchor Free Network for Multi-Scale Face Detection (CW, ZL, SL, SL), pp. 1554–1559.
ICPR-2018-WangXLTXX #detection #multi: Multi-scale Fusion with Context-aware Network for Object Detection (HW, JX, LL, YT, DX, SX), pp. 2486–2491.
ICPR-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.
ICPR-2018-WangZL #detection #generative: Anomaly Detection via Minimum Likelihood Generative Adversarial Networks (CW, YMZ, CLL), pp. 1121–1126.
ICPR-2018-WuLXFPL #predict: Context-Aware Attention LSTM Network for Flood Prediction (YW, ZL, WX, JF, SP, TL), pp. 1301–1306.
ICPR-2018-WuXFPL #predict: Local and Global Bayesian Network based Model for Flood Prediction (YW, WX, JF, SP, TL), pp. 225–230.
ICPR-2018-WuZ #generative: Deep Generative Adversarial Networks for the Sparse Signal Denoising (KW, CZ), pp. 1127–1132.
ICPR-2018-XiaoLLLK #algorithm: Single-image Dehazing Algorithm Based on Convolutional Neural Networks (JX, LL, EL, JL, RK), pp. 1259–1264.
ICPR-2018-XiaoW #animation #speech: Dense Convolutional Recurrent Neural Network for Generalized Speech Animation (LX, ZW), pp. 633–638.
ICPR-2018-XieHLHYL #classification: Deeply Supervised Residual Network for HEp-2 Cell Classification (HX, YH, HL, TH, ZY, BL), pp. 699–703.
ICPR-2018-XuPYL #process #recognition: Human Activity Recognition Based On Convolutional Neural Network (WX, YP, YY, YL), pp. 165–170.
ICPR-2018-XuTY #recognition: Beyond Two-stream: Skeleton-based Three-stream Networks for Action Recognition in Videos (JX, KT, HY), pp. 1567–1573.
ICPR-2018-XuW: Target Group Distribution Pattern Discovery via Convolutional Neural Network (XX, WW), pp. 266–271.
ICPR-2018-XuWJW #visual notation: Visual Tracking by Combining the Structure-Aware Network and Spatial-Temporal Regression (DX, LW, MJ, QW), pp. 1912–1917.
ICPR-2018-XuWZWZR0CH: Depth-based Subgraph Convolutional Neural Networks (CX, DW, ZZ, BW, DZ, GR, LB0, LC, ERH), pp. 1024–1029.
ICPR-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.
ICPR-2018-YamadaIYK #segmentation #using: Texture Segmentation using Siamese Network and Hierarchical Region Merging (RY, HI, NY, TK), pp. 2735–2740.
ICPR-2018-Yang0K #generative #multi: Multi-scale Generative Adversarial Networks for Crowd Counting (JY, YZ0, SYK), pp. 3244–3249.
ICPR-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.
ICPR-2018-YangY: Enhanced Network Embedding with Text Information (SY, BY), pp. 326–331.
ICPR-2018-YanJY #3d #detection #generative: 3D Convolutional Generative Adversarial Networks for Detecting Temporal Irregularities in Videos (MY, XJ, JY), pp. 2522–2527.
ICPR-2018-YanWSLZ #image #learning #using: Image Captioning using Adversarial Networks and Reinforcement Learning (SY, FW, JSS, WL, BZ), pp. 248–253.
ICPR-2018-YuLH #comparison: Curvature-based Comparison of Two Neural Networks (TY, HL, JEH), pp. 441–447.
ICPR-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.
ICPR-2018-ZhangCZ #architecture #recognition: Temporal Inception Architecture for Action Recognition with Convolutional Neural Networks (WZ, JC, HZ), pp. 3216–3221.
ICPR-2018-ZhangDKQL #detection #multi: Global Contrast Enhancement Detection via Deep Multi-Path Network (CZ, DD, LK, HQ, SL), pp. 2815–2820.
ICPR-2018-ZhangFQS #generative #image: Wasserstein Generative Recurrent Adversarial Networks for Image Generating (CZ, YF, BQ, JS), pp. 242–247.
ICPR-2018-ZhangHLZ #detection: Attention-based Neural Network for Traffic Sign Detection (JZ, LH, JL, YZ), pp. 1839–1844.
ICPR-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.
ICPR-2018-ZhangLXQ #named: LHONE: Label Homophily Oriented Network Embedding (LZ, XL, JX, YQ), pp. 665–670.
ICPR-2018-ZhangLZXSL #classification: Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification (GZ, YL, DZ, YX, YS, JL), pp. 3911–3916.
ICPR-2018-ZhangSOS #identification #using: Person Re-identification Using Two-Stage Convolutional Neural Network (YZ, JS, DO, HTS), pp. 3341–3346.
ICPR-2018-ZhangSW #linear #problem: Cascade Deep Networks for Sparse Linear Inverse Problems (HZ, HS, WW), pp. 812–817.
ICPR-2018-ZhangWGWXL #detection #effectiveness #learning: An Effective Deep Learning Based Scheme for Network Intrusion Detection (HZ, CQW, SG, ZW, YX, YL), pp. 682–687.
ICPR-2018-ZhangYLQZC #detection: Single Shot Feature Aggregation Network for Underwater Object Detection (LZ, XY0, ZL, LQ, HZ, CC), pp. 1906–1911.
ICPR-2018-ZhangZDD #analysis #online #recognition: Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition (JZ, YZ, JD, LD), pp. 3681–3686.
ICPR-2018-ZhangZDW #classification #image: Image Exploration Procedure Classification with Spike-timing Neural Network for the Blind (TZ, TZ, BSD, JPW), pp. 3256–3261.
ICPR-2018-ZhangZW #classification #lightweight #named: LD-CNN: A Lightweight Dilated Convolutional Neural Network for Environmental Sound Classification (XZ, YZ, WW), pp. 373–378.
ICPR-2018-ZhanLL #recognition #string #using: Handwritten Digit String Recognition using Convolutional Neural Network (HZ, SL, YL), pp. 3729–3734.
ICPR-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.
ICPR-2018-ZhaoYT #order #predict #using: Pen Tip Motion Prediction for Handwriting Drawing Order Recovery using Deep Neural Network (BZ, MY, JT), pp. 704–709.
ICPR-2018-ZhengZ #approach #classification: Accelerating the Classification of Very Deep Convolutional Network by A Cascading Approach (WZ, ZZ), pp. 355–360.
ICPR-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.
ICPR-2018-ZhongYZ: Merging Neurons for Structure Compression of Deep Networks (GZ0, HY, HZ0), pp. 1462–1467.
ICPR-2018-ZhuZ #detection: A Comprehensive Study on Upper-Body Detection with Deep Neural Networks (YZ, LZ), pp. 171–176.
ICPR-2018-ZhuZLLZC #identification: A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification (JZ, HZ, ZL, SL, LZ, CC), pp. 3285–3290.
KDD-2018-0022PYT #algorithm #effectiveness #optimisation: Network Connectivity Optimization: Fundamental Limits and Effective Algorithms (CC0, RP, LY, HT), pp. 1167–1176.
KDD-2018-ChenGCSSJ #3d #image: Voxel Deconvolutional Networks for 3D Brain Image Labeling (YC, HG, LC, MS, DS, SJ), pp. 1226–1234.
KDD-2018-ChenLB #social: Quantifying and Minimizing Risk of Conflict in Social Networks (XC, JL, TDB), pp. 1197–1205.
KDD-2018-ChenYWWNL #metric #named #predict: PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction (HC, HY, WW0, HW0, QVHN, XL), pp. 1177–1186.
KDD-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.
KDD-2018-ConteFGMSU #similarity: Node Similarity with q -Grams for Real-World Labeled Networks (AC, GF, RG, AM, KS, TU), pp. 1282–1291.
KDD-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.
KDD-2018-DizajiWH #generative: Semi-Supervised Generative Adversarial Network for Gene Expression Inference (KGD, XW, HH), pp. 1435–1444.
KDD-2018-GaoH #self: Self-Paced Network Embedding (HG, HH), pp. 1406–1415.
KDD-2018-GaoWJ #graph #scalability: Large-Scale Learnable Graph Convolutional Networks (HG, ZW, SJ), pp. 1416–1424.
KDD-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.
KDD-2018-HarelR #prototype #using: Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks (SH, KR), pp. 331–339.
KDD-2018-LeeGZ #generative #query: Rare Query Expansion Through Generative Adversarial Networks in Search Advertising (MCL, BG, RZ), pp. 500–508.
KDD-2018-Lian0ZGCT0 #higher-order #proximity: High-order Proximity Preserving Information Network Hashing (DL, KZ0, VWZ, YG, LC, IWT, XX0), pp. 1744–1753.
KDD-2018-LiuHLH #induction #on the #taxonomy: On Interpretation of Network Embedding via Taxonomy Induction (NL, XH, JL, XH), pp. 1812–1820.
KDD-2018-LiuHWH #self: Content to Node: Self-Translation Network Embedding (JL0, ZH, LW, YH), pp. 1794–1802.
KDD-2018-LiuKY #social: Active Opinion Maximization in Social Networks (XL, XK, PSY), pp. 1840–1849.
KDD-2018-LiY #classification #learning #policy: Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient (YL, JY), pp. 1715–1723.
KDD-2018-LuoCTSLCY #information management #invariant #learning #named: TINET: Learning Invariant Networks via Knowledge Transfer (CL, ZC, LAT, AS, ZL, HC, JY), pp. 1890–1899.
KDD-2018-MaCW0 #taxonomy: Hierarchical Taxonomy Aware Network Embedding (JM, PC0, XW0, WZ0), pp. 1920–1929.
KDD-2018-MolinoZW #named #ranking: COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks (PM, HZ, YCW), pp. 586–595.
KDD-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.
KDD-2018-Sanei-MehriST: Butterfly Counting in Bipartite Networks (SVSM, AES, ST), pp. 2150–2159.
KDD-2018-ShashikumarSCN #bidirectional #detection #using: Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks (SPS, AJS, GDC, SN), pp. 715–723.
KDD-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.
KDD-2018-ShiZGZ0 #learning: Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks (YS, QZ, FG, CZ0, JH0), pp. 2190–2199.
KDD-2018-SunBZWZ #modelling #multi: Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases (MS, IMB, LZ, ZW, JZ), pp. 2259–2268.
KDD-2018-TayLH #multi #recommendation: Multi-Pointer Co-Attention Networks for Recommendation (YT, ATL, SCH), pp. 2309–2318.
KDD-2018-TayTH #multi: Multi-Cast Attention Networks (YT, LAT, SCH), pp. 2299–2308.
KDD-2018-TomasiTSV: Latent Variable Time-varying Network Inference (FT, VT, SS, AV), pp. 2338–2346.
KDD-2018-TuCWY0 #equivalence #recursion: Deep Recursive Network Embedding with Regular Equivalence (KT, PC0, XW0, PSY, WZ0), pp. 2357–2366.
KDD-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.
KDD-2018-WangWLW #analysis #composition #multi: Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis (JW, ZW, JL, JW), pp. 2437–2446.
KDD-2018-WangWW: Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention (JW, XW, JW), pp. 830–838.
KDD-2018-WangYHLWH #memory management #recommendation #streaming: Neural Memory Streaming Recommender Networks with Adversarial Training (QW, HY, ZH, DL, HW, ZH), pp. 2467–2475.
KDD-2018-WangZHZ #learning #recommendation: Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation (LW, WZ0, XH, HZ), pp. 2447–2456.
KDD-2018-WongPKFJ #biology #community #named #performance: SDREGION: Fast Spotting of Changing Communities in Biological Networks (SWHW, CP, MK, CF, IJ), pp. 867–875.
KDD-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.
KDD-2018-YasarC: An Iterative Global Structure-Assisted Labeled Network Aligner (AY, ÜVÇ), pp. 2614–2623.
KDD-2018-YingHCEHL #graph #recommendation: Graph Convolutional Neural Networks for Web-Scale Recommender Systems (RY, RH, KC, PE, WLH, JL), pp. 974–983.
KDD-2018-YiZWLZ #distributed #predict #quality: Deep Distributed Fusion Network for Air Quality Prediction (XY, JZ, ZW, TL, YZ0), pp. 965–973.
KDD-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.
KDD-2018-YuZCASZCW #learning: Learning Deep Network Representations with Adversarially Regularized Autoencoders (WY, CZ, WC, CCA, DS, BZ, HC, WW0), pp. 2663–2671.
KDD-2018-ZhangCWPY0 #proximity: Arbitrary-Order Proximity Preserved Network Embedding (ZZ, PC0, XW0, JP, XY, WZ0), pp. 2778–2786.
KDD-2018-ZhouHYF #named #representation #self: SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization (DZ, JH, HY, WF), pp. 2807–2816.
KDD-2018-ZhouZSFZMYJLG #predict: Deep Interest Network for Click-Through Rate Prediction (GZ, XZ, CS, YF, HZ, XM, YY, JJ, HL, KG), pp. 1059–1068.
KDD-2018-ZhuCW0: Deep Variational Network Embedding in Wasserstein Space (DZ, PC0, DW, WZ0), pp. 2827–2836.
KDD-2018-ZugnerAG #graph: Adversarial Attacks on Neural Networks for Graph Data (DZ, AA, SG), pp. 2847–2856.
KDD-2018-ZuoLLGHW: Embedding Temporal Network via Neighborhood Formation (YZ, GL, HL, JG, XH, JW), pp. 2857–2866.
ICMT-2018-TomaszekLWS #model transformation: Virtual Network Embedding: Reducing the Search Space by Model Transformation Techniques (ST, EL, LW, AS), pp. 59–75.
Onward-2018-BasmanLC #design: The open authorial principle: supporting networks of authors in creating externalisable designs (AB, CHL, CBDC), pp. 29–43.
PLDI-2018-GehrMTVWV #named #probability: Bayonet: probabilistic inference for networks (TG, SM, PT, LV, PW, MTV), pp. 586–602.
PLDI-2018-LinWCLDW #architecture #manycore: Mapping spiking neural networks onto a manycore neuromorphic architecture (CKL, AW, GNC, THL, MD, HW), pp. 78–89.
SAS-2018-AlpernasMPSSSV #abstract interpretation: Abstract Interpretation of Stateful Networks (KA, RM, AP, MS, SS, SS, YV), pp. 86–106.
ASE-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.
ASE-2018-SunWRHKK #testing: Concolic testing for deep neural networks (YS, MW, WR, XH0, MK, DK), pp. 109–119.
ESEC-FSE-2018-Gusmanov #modelling #on the #reliability: On the adoption of neural networks in modeling software reliability (KG), pp. 962–964.
ESEC-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-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.
ASPLOS-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.
ASPLOS-2018-CaiRLDWQPW #hardware #named: VIBNN: Hardware Acceleration of Bayesian Neural Networks (RC, AR, NL0, CD, LW, XQ, MP, YW), pp. 476–488.
ASPLOS-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.
ASPLOS-2018-MarkuzeSMT #named: DAMN: Overhead-Free IOMMU Protection for Networking (AM, IS, AM0, DT), pp. 301–315.
CASE-2018-CaoWLG #fault #generative: Application of Generative Adversarial Networks for Intelligent Fault Diagnosis (SC, LW, XL, LG0), pp. 711–715.
CASE-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.
CASE-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.
CASE-2018-PetittiPCMSCN #approach #distributed #mobile: A Distributed Map Building Approach for Mobile Robotic Networks (AP, DDP, RC, AM, ES, AC, DN), pp. 116–121.
CASE-2018-SpenrathP #heuristic #random #using: Using Neural Networks for Heuristic Grasp Planning in Random Bin Picking (FS, AP), pp. 258–263.
CASE-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.
CASE-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.
ESOP-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.
FASE-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.
ICST-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.
ICTSS-2018-PrasetyaT #specification: Neural Networks as Artificial Specifications (ISWBP, MAT), pp. 135–141.
JCDL-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.
EDM-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).
EDM-2017-GuoCC #approach #student: A Neural Network Approach to Estimate Student Skill Mastery in Cognitive Diagnostic Assessments (QG, MC, YC).
EDM-2017-KuangCHN #analysis #framework #platform #social #topic: A Topic Model and Social Network Analysis of a School Blogging Platform (XK, HSC, BH, GN).
EDM-2017-MichalenkoLB #feedback #memory management #personalisation #using: Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks (JJM, ASL, RGB).
EDM-2017-TatoND #automation #detection #reasoning: Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level (AANT, RN, AD).
EDM-2017-YasudaNKKH #automation #using: Automatic Scoring Method for Descriptive Test Using Recurrent Neural Network (KY, IN, HK, HK, MH).
EDM-2017-ZhangS #interactive #modelling #scalability: Modeling Network Dynamics of MOOC Discussion Interactions at Scale (JZ, MS).
EDM-2017-ZhaoH #education: Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks (SZ, NTH).
ICPC-2017-MostafaRW #android #behaviour #maintenance #named: NetDroid: summarizing network behavior of Android apps for network code maintenance (SM, RR, XW), pp. 165–175.
ICSME-2017-HanS #distance #evaluation #metric: Mean Average Distance to Resolver: An Evaluation Metric for Ticket Routing in Expert Network (JH, AS), pp. 594–602.
MSR-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.
SEFM-2017-WiikB #automation #data flow #specification #verification: Specification and Automated Verification of Dynamic Dataflow Networks (JW, PB), pp. 136–151.
Haskell-2017-DawsonGG #composition #monad: Composable network stacks and remote monads (JD, MG, AG), pp. 86–97.
CIG-2017-AckerLB #automaton #simulation: Cellular automata simulation on FPGA for training neural networks with virtual world imagery (OVA, OL, GB), pp. 304–305.
CIG-2017-HorsleyL #automation #generative: Building an automatic sprite generator with deep convolutional generative adversarial networks (LH, DPL), pp. 134–141.
CIG-2017-NguyenRGM #automation #learning: Automated learning of hierarchical task networks for controlling minecraft agents (CN, NR, SG, HMA), pp. 226–231.
CIG-2017-YoonK #game studies #visual notation: Deep Q networks for visual fighting game AI (SY, KJK), pp. 306–308.
FDG-2017-TengB #approach #generative #semantics: A semantic approach to patch-based procedural generation of urban road networks (ET, RB), p. 10.
ICGJ-2017-PirkerKG #analysis #game studies #social: Social network analysis of the global game jam network (JP, FK, CG), pp. 10–14.
CIKM-2017-ChavaryEL #mining #using: Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining (EAC, SME, CL), pp. 2015–2018.
CIKM-2017-ChengZZKZW #classification #sentiment: Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network (JC, SZ, JZ, IK, XZ0, HW0), pp. 97–106.
CIKM-2017-ChenXLDTCP #framework #named: HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks (LC, XX, SL, SD, AGT, SC, BAP), pp. 1599–1607.
CIKM-2017-ChenYSGHY #scalability: Community-Based Network Alignment for Large Attributed Network (ZC0, XY, BS, JG, XH, WSY), pp. 587–596.
CIKM-2017-CuiLZZ #analysis: Text Coherence Analysis Based on Deep Neural Network (BC, YL, YZ, ZZ), pp. 2027–2030.
CIKM-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.
CIKM-2017-FangYMG #scheduling: QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks (ZF, TY, OJM, RKG0), pp. 2067–2070.
CIKM-2017-FreitasTCX #agile #analysis: Rapid Analysis of Network Connectivity (SF, HT, NC, YX), pp. 2463–2466.
CIKM-2017-FuLL #learning #named #representation: HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning (TYF, WCL, ZL), pp. 1797–1806.
CIKM-2017-GalimbertiBG #composition #multi: Core Decomposition and Densest Subgraph in Multilayer Networks (EG, FB, FG), pp. 1807–1816.
CIKM-2017-GarciaM #energy #using: Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks (FCCG, EQBM), pp. 2075–2078.
CIKM-2017-Gupta0M #personalisation #ranking: Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking (MG, PK0, RM), pp. 2087–2090.
CIKM-2017-HoangL #clustering #mining #performance: Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks (TAH, EPL), pp. 869–878.
CIKM-2017-HuPJL #classification #graph: Graph Ladder Networks for Network Classification (RH, SP, JJ0, GL), pp. 2103–2106.
CIKM-2017-JinZ #modelling #social: Emotions in Social Networks: Distributions, Patterns, and Models (SJ, RZ), pp. 1907–1916.
CIKM-2017-KhuranaASVS #hybrid: Hybrid BiLSTM-Siamese network for FAQ Assistance (PK, PA, GMS, LV, AS0), pp. 537–545.
CIKM-2017-LiDHTCL #learning: Attributed Network Embedding for Learning in a Dynamic Environment (JL, HD, XH, JT, YC, HL0), pp. 387–396.
CIKM-2017-LyuZZ #quality #similarity: Enhancing the Network Embedding Quality with Structural Similarity (TL, YZ, YZ), pp. 147–156.
CIKM-2017-MalmiGT #approach: Active Network Alignment: A Matching-Based Approach (EM, AG, ET), pp. 1687–1696.
CIKM-2017-MumtazW #identification: Identifying Top-K Influential Nodes in Networks (SM, XW), pp. 2219–2222.
CIKM-2017-NicosiaM #hybrid: Accurate Sentence Matching with Hybrid Siamese Networks (MN, AM), pp. 2235–2238.
CIKM-2017-ParkLC #recommendation: Deep Neural Networks for News Recommendations (KP, JL, JC), pp. 2255–2258.
CIKM-2017-PeiYSZBT #recommendation: Interacting Attention-gated Recurrent Networks for Recommendation (WP, JY0, ZS, JZ0, AB, DMJT), pp. 1459–1468.
CIKM-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.
CIKM-2017-RaoTHJL: Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks (JR, FT, HH, OJ, JL), pp. 557–566.
CIKM-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.
CIKM-2017-SaravanouKVKG: Revealing the Hidden Links in Content Networks: An Application to Event Discovery (AS, IK, GV, VK, DG), pp. 2283–2286.
CIKM-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.
CIKM-2017-TayTH #analysis #memory management #sentiment: Dyadic Memory Networks for Aspect-based Sentiment Analysis (YT, LAT, SCH), pp. 107–116.
CIKM-2017-TayTPH #graph #multi #predict: Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs (YT, LAT, MCP, SCH), pp. 1029–1038.
CIKM-2017-TengLW #detection #learning #multi #using: Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning (XT, YRL, XW), pp. 827–836.
CIKM-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.
CIKM-2017-TianC #interactive #visualisation: Visualizing Deep Neural Networks with Interaction of Super-pixels (ST, YC), pp. 2327–2330.
CIKM-2017-WangATL: Attributed Signed Network Embedding (SW, CCA, JT, HL0), pp. 137–146.
CIKM-2017-WangDYT #comprehension #mobile #predict #social: Understanding and Predicting Weight Loss with Mobile Social Networking Data (ZW, TD, DY, JT), pp. 1269–1278.
CIKM-2017-WangSLSZ0: Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks (CW, YS, HL, YS, MZ0, JH0), pp. 1629–1638.
CIKM-2017-WuUBG #detection: Conflict of Interest Declaration and Detection System in Heterogeneous Networks (SW, LHU, SSB, WG), pp. 2383–2386.
CIKM-2017-XiangJ #learning #multimodal: Common-Specific Multimodal Learning for Deep Belief Network (CX, XJ), pp. 2387–2390.
CIKM-2017-XuM #analysis #multimodal #named #semantics #sentiment: MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis (NX, WM), pp. 2399–2402.
CIKM-2017-XuWXQ #classification #graph #recursion: Attentive Graph-based Recursive Neural Network for Collective Vertex Classification (QX, QW, CX, LQ), pp. 2403–2406.
CIKM-2017-YangWLZL #graph: From Properties to Links: Deep Network Embedding on Incomplete Graphs (DY, SW, CL, XZ0, ZL), pp. 367–376.
CIKM-2017-YuanWLL #detection: Spectrum-based Deep Neural Networks for Fraud Detection (SY, XW, JL, AL), pp. 2419–2422.
CIKM-2017-ZhangH #ambiguity #graph #using: Name Disambiguation in Anonymized Graphs using Network Embedding (BZ, MAH), pp. 1239–1248.
ECIR-2017-AletrasM #image #topic #using: Labeling Topics with Images Using a Neural Network (NA, AM), pp. 500–505.
ECIR-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.
ECIR-2017-ClosBWC #predict #social: Predicting Emotional Reaction in Social Networks (JC, AB, NW, GC), pp. 527–533.
ECIR-2017-HuangHC #detection: Irony Detection with Attentive Recurrent Neural Networks (YHH, HHH, HHC), pp. 534–540.
ECIR-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.
ICML-2017-AmosK #named #optimisation: OptNet: Differentiable Optimization as a Layer in Neural Networks (BA, JZK), pp. 136–145.
ICML-2017-AmosXK: Input Convex Neural Networks (BA, LX, JZK), pp. 146–155.
ICML-2017-ArjovskyCB #generative: Wasserstein Generative Adversarial Networks (MA, SC, LB), pp. 214–223.
ICML-2017-ArpitJBKBKMFCBL: A Closer Look at Memorization in Deep Networks (DA, SJ, NB, DK, EB, MSK, TM, AF, ACC, YB, SLJ), pp. 233–242.
ICML-2017-BalduzziMB #approximate #convergence: Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks (DB, BM, TBY), pp. 351–360.
ICML-2017-BelangerYM #energy #learning #predict: End-to-End Learning for Structured Prediction Energy Networks (DB, BY, AM), pp. 429–439.
ICML-2017-BolukbasiWDS #adaptation #performance: Adaptive Neural Networks for Efficient Inference (TB, JW0, OD, VS), pp. 527–536.
ICML-2017-ChoB #named: MEC: Memory-efficient Convolution for Deep Neural Network (MC, DB), pp. 815–824.
ICML-2017-CisseBGDU #robust: Parseval Networks: Improving Robustness to Adversarial Examples (MC, PB, EG, YND, NU), pp. 854–863.
ICML-2017-CortesGKMY #adaptation #learning #named: AdaNet: Adaptive Structural Learning of Artificial Neural Networks (CC, XG, VK, MM, SY), pp. 874–883.
ICML-2017-DauphinFAG #modelling: Language Modeling with Gated Convolutional Networks (YND, AF, MA, DG), pp. 933–941.
ICML-2017-FeldmanOR #graph #summary: Coresets for Vector Summarization with Applications to Network Graphs (DF, SO, DR), pp. 1117–1125.
ICML-2017-FinnAL #adaptation #performance: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (CF, PA, SL), pp. 1126–1135.
ICML-2017-FoersterGSCS #architecture: Input Switched Affine Networks: An RNN Architecture Designed for Interpretability (JNF, JG, JSD, JC, DS), pp. 1136–1145.
ICML-2017-GaoFC #learning: Local-to-Global Bayesian Network Structure Learning (TG, KPF, MC), pp. 1193–1202.
ICML-2017-GravesBMMK #automation #education #learning: Automated Curriculum Learning for Neural Networks (AG, MGB, JM, RM, KK), pp. 1311–1320.
ICML-2017-GuoPSW #on the: On Calibration of Modern Neural Networks (CG, GP, YS0, KQW), pp. 1321–1330.
ICML-2017-GygliNA: Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs (MG, MN0, AA), pp. 1341–1351.
ICML-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.
ICML-2017-HuQ #memory management: State-Frequency Memory Recurrent Neural Networks (HH, GJQ), pp. 1568–1577.
ICML-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.
ICML-2017-KalchbrennerOSD #video: Video Pixel Networks (NK, AvdO, KS, ID, OV, AG, KK), pp. 1771–1779.
ICML-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.
ICML-2017-KimCKLK #generative #learning: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (TK, MC, HK, JKL, JK), pp. 1857–1865.
ICML-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.
ICML-2017-LiG: Dropout Inference in Bayesian Neural Networks with Alpha-divergences (YL, YG), pp. 2052–2061.
ICML-2017-LivniCG #infinity #kernel #learning: Learning Infinite Layer Networks Without the Kernel Trick (RL, DC, AG), pp. 2198–2207.
ICML-2017-LongZ0J #adaptation #learning: Deep Transfer Learning with Joint Adaptation Networks (ML, HZ, JW0, MIJ), pp. 2208–2217.
ICML-2017-LouizosW #multi #normalisation: Multiplicative Normalizing Flows for Variational Bayesian Neural Networks (CL, MW), pp. 2218–2227.
ICML-2017-Luo #architecture #learning: Learning Deep Architectures via Generalized Whitened Neural Networks (PL0), pp. 2238–2246.
ICML-2017-MaystreG17a #identification #named: ChoiceRank: Identifying Preferences from Node Traffic in Networks (LM, MG), pp. 2354–2362.
ICML-2017-McGillP #how: Deciding How to Decide: Dynamic Routing in Artificial Neural Networks (MM, PP), pp. 2363–2372.
ICML-2017-MeschederNG #generative: Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks (LMM, SN, AG), pp. 2391–2400.
ICML-2017-MhammediHRB #orthogonal #performance #using: Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections (ZM, ADH, AR, JB0), pp. 2401–2409.
ICML-2017-MolchanovAV: Variational Dropout Sparsifies Deep Neural Networks (DM, AA, DPV), pp. 2498–2507.
ICML-2017-MunkhdalaiY: Meta Networks (TM, HY0), pp. 2554–2563.
ICML-2017-NeilLDL: Delta Networks for Optimized Recurrent Network Computation (DN, JL, TD, SCL), pp. 2584–2593.
ICML-2017-NguyenH: The Loss Surface of Deep and Wide Neural Networks (QN0, MH0), pp. 2603–2612.
ICML-2017-PenningtonB #geometry #matrix #random: Geometry of Neural Network Loss Surfaces via Random Matrix Theory (JP, YB), pp. 2798–2806.
ICML-2017-RaghuPKGS #on the #power of: On the Expressive Power of Deep Neural Networks (MR, BP, JMK, SG, JSD), pp. 2847–2854.
ICML-2017-RitterBSB #bias #case study: Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study (SR, DGTB, AS, MMB), pp. 2940–2949.
ICML-2017-SafranS #approximate #trade-off: Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks (IS, OS), pp. 2979–2987.
ICML-2017-SakrKS #precise: Analytical Guarantees on Numerical Precision of Deep Neural Networks (CS, YK0, NRS), pp. 3007–3016.
ICML-2017-ScamanBBLM #algorithm #distributed #optimisation: Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks (KS, FRB, SB, YTL, LM), pp. 3027–3036.
ICML-2017-SundararajanTY #axiom: Axiomatic Attribution for Deep Networks (MS, AT, QY), pp. 3319–3328.
ICML-2017-Telgarsky: Neural Networks and Rational Functions (MT), pp. 3387–3393.
ICML-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.
ICML-2017-TompsonSSP #simulation: Accelerating Eulerian Fluid Simulation With Convolutional Networks (JT, KS, PS, KP), pp. 3424–3433.
ICML-2017-VezhnevetsOSHJS #learning: FeUdal Networks for Hierarchical Reinforcement Learning (ASV, SO, TS, NH, MJ, DS, KK), pp. 3540–3549.
ICML-2017-VorontsovTKP #dependence #learning #on the #orthogonal: On orthogonality and learning recurrent networks with long term dependencies (EV, CT, SK, CP), pp. 3570–3578.
ICML-2017-YangKT #classification #video: Tensor-Train Recurrent Neural Networks for Video Classification (YY, DK, VT), pp. 3891–3900.
ICML-2017-YoonH: Combined Group and Exclusive Sparsity for Deep Neural Networks (JY, SJH), pp. 3958–3966.
ICML-2017-ZhangLW: Convexified Convolutional Neural Networks (YZ0, PL, MJW), pp. 4044–4053.
ICML-2017-ZhangZZHZ #distributed #learning #online: Projection-free Distributed Online Learning in Networks (WZ0, PZ, WZ0, SCHH, TZ), pp. 4054–4062.
ICML-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.
ICML-2017-ZhongS0BD: Recovery Guarantees for One-hidden-layer Neural Networks (KZ, ZS, PJ0, PLB, ISD), pp. 4140–4149.
ICML-2017-ZillySKS: Recurrent Highway Networks (JGZ, RKS, JK, JS), pp. 4189–4198.
KDD-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.
KDD-2017-AvinLNP #bound: Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment Networks (CA, ZL, YN, DP), pp. 45–53.
KDD-2017-BaiWT0D: Unsupervised Network Discovery for Brain Imaging Data (ZB, PBW, AET, FW0, ID), pp. 55–64.
KDD-2017-BaytasXZWJZ #type system: Patient Subtyping via Time-Aware LSTM Networks (IMB, CX, XZ, FW0, AKJ0, JZ), pp. 65–74.
KDD-2017-ChengLL #feature model #social: Unsupervised Feature Selection in Signed Social Networks (KC, JL, HL0), pp. 777–786.
KDD-2017-DadkhahiM #detection #embedded #learning: Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices (HD, BMM), pp. 1773–1781.
KDD-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.
KDD-2017-DongCS #learning #named #representation #scalability: metapath2vec: Scalable Representation Learning for Heterogeneous Networks (YD, NVC, AS), pp. 135–144.
KDD-2017-DongJXC #case study: Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks (YD, RAJ, JX, NVC), pp. 807–816.
KDD-2017-EikmeierG: Revisiting Power-law Distributions in Spectra of Real World Networks (NE, DFG), pp. 817–826.
KDD-2017-GuSG #co-evolution #evolution #migration #social: The Co-Evolution Model for Social Network Evolving and Opinion Migration (YG, YS, JG), pp. 175–184.
KDD-2017-HallacPBL #visual notation: Network Inference via the Time-Varying Graphical Lasso (DH, YP, SPB, JL), pp. 205–213.
KDD-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.
KDD-2017-LiMGK #interactive: A Context-aware Attention Network for Interactive Question Answering (HL, MRM, YG, AK), pp. 927–935.
KDD-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.
KDD-2017-MottiniA #pointer #predict #using: Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction (AM, RAA), pp. 1575–1583.
KDD-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.
KDD-2017-SaveskiPSDGXA #detection #random: Detecting Network Effects: Randomizing Over Randomized Experiments (MS, JPA, GSJ, WD, SG, YX, EMA), pp. 1027–1035.
KDD-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.
KDD-2017-ShenHYSLC #on the #online #social: On Finding Socially Tenuous Groups for Online Social Networks (CYS, LHH, DNY, HHS, WCL, MSC), pp. 415–424.
KDD-2017-ShiCZG0 #named #probability: PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks (YS, PWC, HZ, HG, JH0), pp. 425–434.
KDD-2017-SinghSGMC #evolution #modelling: Relay-Linking Models for Prominence and Obsolescence in Evolving Networks (MS0, RS, PG, AM0, SC), pp. 1077–1086.
KDD-2017-WangGZOXLG #detection: Adversary Resistant Deep Neural Networks with an Application to Malware Detection (QW, WG, KZ, AGOI, XX, XL, CLG), pp. 1145–1153.
KDD-2017-WangHCLYR #mining: Structural Deep Brain Network Mining (SW, LH0, BC, CTL, PSY, ABR), pp. 475–484.
KDD-2017-YeZMPB #learning: Learning from Labeled and Unlabeled Vertices in Networks (WY0, LZ, DM, CP, CB), pp. 1265–1274.
KDD-2017-YinCZ #comprehension #design #named #sequence: DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks (ZY, KhC, RZ), pp. 2131–2139.
KDD-2017-YouX0T #education #learning #multi: Learning from Multiple Teacher Networks (SY, CX0, CX0, DT), pp. 1285–1294.
KDD-2017-ZhaoYLSL #recommendation: Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (HZ, QY, JL, YS, DLL), pp. 635–644.
ECMFA-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.
PLDI-2017-BeckettMMPW #synthesis: Network configuration synthesis with abstract topologies (RB, RM, TDM, JP, DW), pp. 437–451.
POPL-2017-SmolkaKFK0 #probability #semantics: Cantor meets scott: semantic foundations for probabilistic networks (SS, PK0, NF, DK, AS0), pp. 557–571.
POPL-2017-SubramanianDA #multitenancy #named #overview: Genesis: synthesizing forwarding tables in multi-tenant networks (KS, LD, AA), pp. 572–585.
ASE-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.
ASE-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-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-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.
ASPLOS-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.
ASPLOS-2017-HuSL #towards: Towards “Full Containerization” in Containerized Network Function Virtualization (YH0, MS, TL0), pp. 467–481.
ASPLOS-2017-LesokhinERSGLBA #fault: Page Fault Support for Network Controllers (IL, HE, SR, GS, SG, LL, MBY, NA, DT), pp. 449–466.
ASPLOS-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.
CASE-2017-AskinH #automation #estimation: Automated lead time estimation for manufacturing networks with dynamic demand (RGA, GJH), pp. 994–999.
CASE-2017-CuiHD #collaboration #problem: 4PL collaborative routing customization problem on the dynamic networks (YC, MH0, QD), pp. 1345–1349.
CASE-2017-CuiVZBB #adaptation #architecture #self: A software architecture supporting self-adaptation of wireless control networks (YC, RMV, XZ, JB, ESB), pp. 346–351.
CASE-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.
CASE-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.
CASE-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.
CASE-2017-LiuJZ #metric #optimisation: An evacuation guider location optimization method based on road network centrality measures (ZL, QSJ, HZ), pp. 838–843.
CASE-2017-LiuLQLD #estimation: State estimation for BAM neural networks with mixed time delays (GL, CL, JQ, XL, JD), pp. 1506–1509.
CASE-2017-TianJW #sequence #social: Opinion containment in social networks over issue sequences (YT, GJ, LW0), pp. 1374–1379.
CASE-2017-Wang: Regulation by competing: A hidden layer of gene regulatory networks (XW), p. 96.
CASE-2017-WangWQL #constraints #metaprogramming #social: From micro to macro: Propagated constraints in social networks (CW, YW, TQ, HL), pp. 1534–1539.
CASE-2017-WuXS #protocol #trust: Trust-based protocol for securing routing in opportunistic networks (XW, JX, JS), pp. 434–439.
CASE-2017-YangLXC #algebra #logic: Controllability of dynamic-algebraic mix-valued logical control networks (LY, BL, RX, JC), pp. 171–176.
CASE-2017-ZhangJ #bias #distributed #metric: Target tracking over distributed sensor networks by polar measurements with time-varying bias (CZ, YJ), pp. 429–433.
CAV-2017-HuangKWW #safety #verification: Safety Verification of Deep Neural Networks (XH0, MK, SW, MW), pp. 3–29.
CAV-2017-KatzBDJK #named #performance #smt #verification: Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks (GK, CWB, DLD, KJ, MJK), pp. 97–117.
CAV-2017-CardelliCFKLPW #synthesis: Syntax-Guided Optimal Synthesis for Chemical Reaction Networks (LC, MC0, MF, MZK, LL, NP, MW), pp. 375–395.
CAV-2017-McClurgHC #source code #synthesis: Synchronization Synthesis for Network Programs (JM, HH, PC), pp. 301–321.
QoSA-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.
EDM-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.
EDM-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.
EDM-2016-WilsonKHE #estimation: Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation (KHW, YK, BH, CE), pp. 539–544.
FM-2016-CimattiMS #automaton #hybrid: From Electrical Switched Networks to Hybrid Automata (AC, SM, MS), pp. 164–181.
AIIDE-2016-SinghDHJPM #using: Recognizing Actions in Motion Trajectories Using Deep Neural Networks (KYS, NMD, CPH, MJ, KP, BM), pp. 211–217.
CHI-PLAY-2016-CollinsCL #exclamation #game studies #student: Say Cheese!: Games for Successful Academic and Student Networking (EIMC, ALC, FJL), pp. 105–115.
CHI-PLAY-2016-WellsCLMGS #data mining #mining: Mining for Gold (and Platinum): PlayStation Network Data Mining (LW, AJCS, IJL, LM, BG, KdS), pp. 304–312.
CIG-2016-SoemersW #game studies #reuse #video: Hierarchical Task Network Plan Reuse for video games (DJNJS, MHMW), pp. 1–8.
CIG-2016-StanescuBHB #game studies #realtime #using: Evaluating real-time strategy game states using convolutional neural networks (MS, NAB, AH, MB), pp. 1–7.
DiGRA-FDG-2016-PaavilainenAK #game studies #overview #social: Review of Social Features in Social Network Games (JP, KA, HK).
CIKM-2016-0002AK #distance #query: Fully Dynamic Shortest-Path Distance Query Acceleration on Massive Networks (TH0, TA, KiK), pp. 1533–1542.
CIKM-2016-AnwarLV0 #evolution: Tracking the Evolution of Congestion in Dynamic Urban Road Networks (TA, CL, HLV, MSI0), pp. 2323–2328.
CIKM-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.
CIKM-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.
CIKM-2016-ChenZH: Incorporate Group Information to Enhance Network Embedding (JC, QZ0, XH), pp. 1901–1904.
CIKM-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.
CIKM-2016-JiangL: Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network (JYJ, CTL), pp. 2033–2036.
CIKM-2016-JiangYCZY #privacy #query #reachability: Privacy-Preserving Reachability Query Services for Massive Networks (JJ, PY, BC, ZZ, XY0), pp. 145–154.
CIKM-2016-KasneciG #linear #named: LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks (GK, TG), pp. 45–54.
CIKM-2016-LiKZH #classification #on the: On Transductive Classification in Heterogeneous Information Networks (XL, BK, YZ, ZH0), pp. 811–820.
CIKM-2016-LiTCELB #interactive #named #optimisation: TEAMOPT: Interactive Team Optimization in Big Networks (LL, HT, NC, KE, YRL, NB), pp. 2485–2487.
CIKM-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.
CIKM-2016-ManshaKKA #identification #self #speech: A Self-Organizing Map for Identifying InfluentialCommunities in Speech-based Networks (SM, FK, AK, AA), pp. 1965–1968.
CIKM-2016-MaSCYKV #distributed #performance #query: Query Answering Efficiency in Expert Networks Under Decentralized Search (LM0, MS, DC, XY, SK, MV), pp. 2119–2124.
CIKM-2016-NegiC #predict #social: Link Prediction in Heterogeneous Social Networks (SN, SC), pp. 609–617.
CIKM-2016-RaoHL #estimation: Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks (JR, HH, JJL), pp. 1913–1916.
CIKM-2016-RongZC #approach: A Model-Free Approach to Infer the Diffusion Network from Event Cascade (YR, QZ, HC), pp. 1653–1662.
CIKM-2016-RossiZ #multi #scalability: Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks (RAR, RZ0), pp. 1783–1792.
CIKM-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.
CIKM-2016-SatyaLLTZ #online #social: Uncovering Fake Likers in Online Social Networks (PRBS, KL, DL0, TT, J(Z), pp. 2365–2370.
CIKM-2016-SongHL #social: Targeted Influence Maximization in Social Networks (CS, WH, MLL), pp. 1683–1692.
CIKM-2016-TangCSTV0: BigNet 2016: First Workshop on Big Network Analytics (JT0, KC, ZS, HT, MV, YY0), pp. 2505–2506.
CIKM-2016-TanWX #approach #recommendation: A Neural Network Approach to Quote Recommendation in Writings (JT, XW0, JX), pp. 65–74.
CIKM-2016-UfimtsevSMB #comprehension #metric: Understanding Stability of Noisy Networks through Centrality Measures and Local Connections (VU, SS, AM0, SB), pp. 2347–2352.
CIKM-2016-ZengZMZW #clustering #predict: Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks (JZ, KZ0, XM, FZ, HW), pp. 1905–1908.
CIKM-2016-ZhangGWHH #predict #twitter: Retweet Prediction with Attention-based Deep Neural Network (QZ0, YG, JW, HH, XH), pp. 75–84.
CIKM-2016-ZhangTL #clustering #multi: Clustering Speed in Multi-lane Traffic Networks (BZ, GT, FL), pp. 2045–2048.
CIKM-2016-ZhangYZZ #classification #matrix: Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks (DZ, JY, XZ, CZ), pp. 1563–1572.
ICML-2016-AllamanisPS #source code #summary: A Convolutional Attention Network for Extreme Summarization of Source Code (MA, HP, CAS), pp. 2091–2100.
ICML-2016-AlmahairiBCZLC #capacity: Dynamic Capacity Networks (AA, NB, TC, YZ, HL, ACC), pp. 2549–2558.
ICML-2016-ArjovskySB #evolution: Unitary Evolution Recurrent Neural Networks (MA, AS, YB), pp. 1120–1128.
ICML-2016-ArpitZKG #normalisation #parametricity: Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks (DA, YZ, BUK, VG), pp. 1168–1176.
ICML-2016-BalduzziG: Strongly-Typed Recurrent Neural Networks (DB, MG), pp. 1292–1300.
ICML-2016-BelangerM #energy #predict: Structured Prediction Energy Networks (DB, AM), pp. 983–992.
ICML-2016-BlondelIFU #algorithm #performance #polynomial: Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms (MB, MI, AF, NU), pp. 850–858.
ICML-2016-CohenS: Convolutional Rectifier Networks as Generalized Tensor Decompositions (NC, AS), pp. 955–963.
ICML-2016-CohenW: Group Equivariant Convolutional Networks (TC, MW), pp. 2990–2999.
ICML-2016-CouilletWAS #approach #matrix #random: A Random Matrix Approach to Echo-State Neural Networks (RC, GW, HTA, HS), pp. 517–525.
ICML-2016-DielemanFK #symmetry: Exploiting Cyclic Symmetry in Convolutional Neural Networks (SD, JDF, KK), pp. 1889–1898.
ICML-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.
ICML-2016-HenaffSL #orthogonal: Recurrent Orthogonal Networks and Long-Memory Tasks (MH, AS, YL), pp. 2034–2042.
ICML-2016-KordaSL #clustering #distributed #linear: Distributed Clustering of Linear Bandits in Peer to Peer Networks (NK, BS, SL), pp. 1301–1309.
ICML-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.
ICML-2016-LinTA #fixpoint: Fixed Point Quantization of Deep Convolutional Networks (DDL, SST, VSA), pp. 2849–2858.
ICML-2016-LiOW #multi: Multi-Bias Non-linear Activation in Deep Neural Networks (HL, WO, XW0), pp. 221–229.
ICML-2016-LiuSSF #learning #markov: Structure Learning of Partitioned Markov Networks (SL0, TS, MS, KF), pp. 439–448.
ICML-2016-LiuWYY: Large-Margin Softmax Loss for Convolutional Neural Networks (WL, YW, ZY, MY0), pp. 507–516.
ICML-2016-NiepertAK #graph #learning: Learning Convolutional Neural Networks for Graphs (MN, MA, KK), pp. 2014–2023.
ICML-2016-OordKK: Pixel Recurrent Neural Networks (AvdO, NK, KK), pp. 1747–1756.
ICML-2016-OswalCRRN #learning #similarity: Representational Similarity Learning with Application to Brain Networks (UO, CRC, MALR, TTR, RDN), pp. 1041–1049.
ICML-2016-PaigeW #modelling #monte carlo #visual notation: Inference Networks for Sequential Monte Carlo in Graphical Models (BP, FDW), pp. 3040–3049.
ICML-2016-PanS: Expressiveness of Rectifier Networks (XP, VS), pp. 2427–2435.
ICML-2016-PezeshkiFBCB #architecture: Deconstructing the Ladder Network Architecture (MP, LF, PB, ACC, YB), pp. 2368–2376.
ICML-2016-SafranS #on the #quality: On the Quality of the Initial Basin in Overspecified Neural Networks (IS, OS), pp. 774–782.
ICML-2016-SantoroBBWL: Meta-Learning with Memory-Augmented Neural Networks (AS, SB, MB, DW, TPL), pp. 1842–1850.
ICML-2016-ShangSAL #comprehension #linear: Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units (WS, KS, DA, HL), pp. 2217–2225.
ICML-2016-SongGC #learning #sequence: Factored Temporal Sigmoid Belief Networks for Sequence Learning (JS, ZG, LC), pp. 1272–1281.
ICML-2016-SongSZU: Training Deep Neural Networks via Direct Loss Minimization (YS, AGS, RSZ, RU), pp. 2169–2177.
ICML-2016-TaylorBXSPG #approach #scalability: Training Neural Networks Without Gradients: A Scalable ADMM Approach (GT, RB, ZX0, BS, ABP, TG), pp. 2722–2731.
ICML-2016-UlyanovLVL #image #synthesis: Texture Networks: Feed-forward Synthesis of Textures and Stylized Images (DU, VL, AV, VSL), pp. 1349–1357.
ICML-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.
ICML-2016-WangSHHLF #architecture #learning: Dueling Network Architectures for Deep Reinforcement Learning (ZW0, TS, MH, HvH, ML, NdF), pp. 1995–2003.
ICML-2016-WeiWRC #morphism: Network Morphism (TW, CW, YR, CWC), pp. 564–572.
ICML-2016-XiongMS #memory management #visual notation: Dynamic Memory Networks for Visual and Textual Question Answering (CX, SM, RS), pp. 2397–2406.
ICML-2016-ZhangLJ #polynomial: L1-regularized Neural Networks are Improperly Learnable in Polynomial Time (YZ0, JDL, MIJ), pp. 993–1001.
ICML-2016-ZhangLL #classification #image #scalability: Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification (YZ, KL, HL), pp. 612–621.
ICML-2016-ZhaoAGA: Collapsed Variational Inference for Sum-Product Networks (HZ0, TA, GJG, BA), pp. 1310–1318.
ICPR-2016-AntonyMOM #using: Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks (JA, KM, NEO, KM), pp. 1195–1200.
ICPR-2016-BSSH #approach #classification #using: HEp-2 cell classification using artificial neural network approach (DB, KS, NH), pp. 84–89.
ICPR-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.
ICPR-2016-CapuaNP #detection #social: Unsupervised cyber bullying detection in social networks (MDC, EDN, AP), pp. 432–437.
ICPR-2016-ChaiLYLC #gesture #recognition #scalability: Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition (XC, ZL, FY, ZL, XC), pp. 31–36.
ICPR-2016-ChenQYJ #bidirectional: Face alignment with Cascaded Bidirectional LSTM Neural Networks (YC, JQ, JY0, ZJ), pp. 313–318.
ICPR-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.
ICPR-2016-ChoiKPS #detection #multi: Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks (HC, SK, KP, KS), pp. 621–626.
ICPR-2016-ChowdhuryBMKS #image #performance #retrieval #using: An efficient radiographic Image Retrieval system using Convolutional Neural Network (MC, SRB, RM, MKK, ÖS), pp. 3134–3139.
ICPR-2016-CorniaBSC #multi #predict: A deep multi-level network for saliency prediction (MC, LB, GS0, RC), pp. 3488–3493.
ICPR-2016-DuWZH #markov #recognition: Deep neural network based hidden Markov model for offline handwritten Chinese text recognition (JD, ZRW, JFZ, JSH), pp. 3428–3433.
ICPR-2016-FengLXYM #traversal: Face hallucination by deep traversal network (ZXF, JHL, XX, DY, LM), pp. 3276–3281.
ICPR-2016-GaoYGC #approach #constraints #using: Bayesian approach to learn Bayesian networks using data and constraints (XGG, YY, ZgG, DQC0), pp. 3667–3672.
ICPR-2016-GhaderiA #learning: Selective unsupervised feature learning with Convolutional Neural Network (S-CNN) (AG, VA), pp. 2486–2490.
ICPR-2016-GrantSZG #predict #visualisation: Predicting and visualizing psychological attributions with a deep neural network (EG, SS, MZ, MvG), pp. 1–6.
ICPR-2016-GwonCK: Deep Sparse-coded Network (DSN) (YG, MC, HTK), pp. 2610–2615.
ICPR-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.
ICPR-2016-HasegawaH #classification #image #named #using: PLSNet: A simple network using Partial Least Squares regression for image classification (RH, KH), pp. 1601–1606.
ICPR-2016-HuangY #3d #using: Point cloud labeling using 3D Convolutional Neural Network (JH0, SY), pp. 2670–2675.
ICPR-2016-JhuangLT #3d #using #verification: Face verification with three-dimensional point cloud by using deep belief networks (DHJ, DTL, CHT), pp. 1430–1435.
ICPR-2016-JiaSZY #classification: Deep convolutional neural network based HEp-2 cell classification (XJ, LS, XZ, SY), pp. 77–80.
ICPR-2016-KabkabHC #on the #performance: On the size of Convolutional Neural Networks and generalization performance (MK, EMH, RC), pp. 3572–3577.
ICPR-2016-KalraSRT #learning #using: Learning opposites using neural networks (SK, AS, SR, HRT), pp. 1213–1218.
ICPR-2016-KimP #approach #detection #using: A shape preserving approach for salient object detection using convolutional neural networks (JK, VP), pp. 609–614.
ICPR-2016-KimP16a #using: Discovering characteristic landmarks on ancient coins using convolutional networks (JK, VP), pp. 1595–1600.
ICPR-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.
ICPR-2016-LiSZY #classification: HEp-2 specimen classification with fully convolutional network (YL, LS, XZ, SY), pp. 96–100.
ICPR-2016-LittwinW #complexity #multi: Complexity of multiverse networks and their multilayer generalization (EL, LW), pp. 372–377.
ICPR-2016-Liu16a #classification #learning #multi #scalability: Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPR-2016-LiuGX #constraints #synthesis: Texture synthesis through convolutional neural networks and spectrum constraints (GL0, YG, GSX), pp. 3234–3239.
ICPR-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.
ICPR-2016-LyuSZB #image #multi: Distinguishing text/non-text natural images with Multi-Dimensional Recurrent Neural Networks (PL, BS, CZ, XB), pp. 3981–3986.
ICPR-2016-McCaneS #performance: Deep networks are efficient for circular manifolds (BM, LS), pp. 3464–3469.
ICPR-2016-MeiDSB #identification: Scene text script identification with Convolutional Recurrent Neural Networks (JM, LD, BS, XB), pp. 4053–4058.
ICPR-2016-MelekhovKR #image: Siamese network features for image matching (IM, JK, ER), pp. 378–383.
ICPR-2016-MinelloTH #evolution #quantum: Quantum thermodynamics of time evolving networks (GM, AT, ERH), pp. 1536–1541.
ICPR-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.
ICPR-2016-NairKNG #documentation #segmentation #using: Segmentation of highly unstructured handwritten documents using a neural network technique (RRN, BUK, IN, VG), pp. 1291–1296.
ICPR-2016-NieZJ #data transformation #representation: Latent regression Bayesian network for data representation (SN, YZ, QJ), pp. 3494–3499.
ICPR-2016-NookaCVSP #adaptation #classification: Adaptive hierarchical classification networks (SPN, SC, KV, SS, RWP), pp. 3578–3583.
ICPR-2016-PandaDR #multi #summary #video: Video summarization in a multi-view camera network (RP, AD, AKRC), pp. 2971–2976.
ICPR-2016-PangN #3d #detection #multi: 3D point cloud object detection with multi-view convolutional neural network (GP, UN), pp. 585–590.
ICPR-2016-PengRP #learning #recognition #using: Learning face recognition from limited training data using deep neural networks (XP, NKR, SP), pp. 1442–1447.
ICPR-2016-PengZ: Mutual information-based RBM neural networks (KHP, HZ), pp. 2458–2463.
ICPR-2016-Pham0PV #performance: Faster training of very deep networks via p-norm gates (TP, TT0, DQP, SV), pp. 3542–3547.
ICPR-2016-PuZZ #multi: Structure and appearance preserving network flow for multi-object tracking (SP, HZ, KZ), pp. 1804–1808.
ICPR-2016-RoyDB #classification #documentation #image: Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification (SR, AD, UB), pp. 1273–1278.
ICPR-2016-RoyTL #learning: Context-regularized learning of fully convolutional networks for scene labeling (AR, ST, LJL), pp. 3751–3756.
ICPR-2016-ShankarDG #learning: Reinforcement Learning via Recurrent Convolutional Neural Networks (TS, SKD, PG), pp. 2592–2597.
ICPR-2016-StunerCP #recognition #word: Cascading BLSTM networks for handwritten word recognition (BS, CC0, TP), pp. 3416–3421.
ICPR-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.
ICPR-2016-SunHLK #learning #multi #recognition: Multiple Instance Learning Convolutional Neural Networks for object recognition (MS, TXH, MCL, AKR), pp. 3270–3275.
ICPR-2016-TabernikKWL #composition #towards: Towards deep compositional networks (DT, MK, JLW, AL), pp. 3470–3475.
ICPR-2016-Teerapittayanon #named #performance: BranchyNet: Fast inference via early exiting from deep neural networks (ST, BM, HTK), pp. 2464–2469.
ICPR-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.
ICPR-2016-Triantafyllidou #detection #incremental #learning: Face detection based on deep convolutional neural networks exploiting incremental facial part learning (DT, AT), pp. 3560–3565.
ICPR-2016-Uchida0O: Coupled convolution layer for convolutional neural network (KU, MT0, MO), pp. 3548–3553.
ICPR-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.
ICPR-2016-VargaS #automation #image: Fully automatic image colorization based on Convolutional Neural Network (DV, TS), pp. 3691–3696.
ICPR-2016-WangB #predict: Link prediction via Supervised Dynamic Network Formation (YW0, LB0), pp. 4160–4165.
ICPR-2016-WangLLGTO #gesture #recognition #scalability #using: Large-scale Isolated Gesture Recognition using Convolutional Neural Networks (PW, WL, SL, ZG, CT, PO), pp. 7–12.
ICPR-2016-WangLLZGO #gesture #recognition #scalability #using: Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks (PW, WL, SL, YZ, ZG, PO), pp. 13–18.
ICPR-2016-WangLP #visual notation: Finetuning Convolutional Neural Networks for visual aesthetics (YW, YL, FP), pp. 3554–3559.
ICPR-2016-WangWH #analysis #using: Network entropy analysis using the Maxwell-Boltzmann partition function (JW, RCW0, ERH), pp. 1321–1326.
ICPR-2016-Williams #classification #using: Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks (DPW), pp. 2497–2502.
ICPR-2016-XieSJFZ #recognition: Fully convolutional recurrent network for handwritten Chinese text recognition (ZX, ZS, LJ, ZF, SZ), pp. 4011–4016.
ICPR-2016-XuT #3d #learning: Beam search for learning a deep Convolutional Neural Network of 3D shapes (XX, ST), pp. 3506–3511.
ICPR-2016-Yamada #detection: Pedestrian detection with a resolution-aware convolutional network (KY), pp. 591–596.
ICPR-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.
ICPR-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.
ICPR-2016-YangN #detection #multi: A multi-scale cascade fully convolutional network face detector (ZY, RN), pp. 633–638.
ICPR-2016-YangSZ #detection: A joint facial point detection method of deep convolutional network and shape regression (TY, CS, NZ), pp. 543–548.
ICPR-2016-Ye0L #3d #retrieval #sketching: 3D sketch-based 3D model retrieval with convolutional neural network (YY, BL0, YL), pp. 2936–2941.
ICPR-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.
ICPR-2016-ZhangGST #recognition: Application of pronunciation knowledge on phoneme recognition by LSTM neural network (BZ, YG, YS, BT), pp. 2906–2911.
ICPR-2016-ZhangLQ #using: Wake-up-word spotting using end-to-end deep neural network system (SZ, WL, YQ0), pp. 2878–2883.
ICPR-2016-ZhangQ #adaptation #agile #modelling: Rapid feature space MLLR speaker adaptation for deep neural network acoustic modeling (SZ, YQ0), pp. 2889–2894.
ICPR-2016-ZhengCZZL #independence #using: Text-independent voice conversion using deep neural network based phonetic level features (HZ, WC, TZ, SZ, ML0), pp. 2872–2877.
ICPR-2016-ZhongZYL #recognition: Handwritten Chinese character recognition with spatial transformer and deep residual networks (ZZ, XYZ, FY, CLL), pp. 3440–3445.
ICPR-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.
ICPR-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.
KDD-2016-ArbourGJ: Inferring Network Effects from Observational Data (DTA, DG, DDJ), pp. 715–724.
KDD-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.
KDD-2016-ChangZTYCHH #learning #streaming: Positive-Unlabeled Learning in Streaming Networks (SC, YZ0, JT, DY, YC, MAHJ, TSH), pp. 755–764.
KDD-2016-Chayes #estimation #machine learning #modelling: Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks (JTC), p. 1.
KDD-2016-ChenTXYH #dependence #multi #named #performance: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks (CC0, HT, LX, LY, QH), pp. 765–774.
KDD-2016-ChenWTWC: Compressing Convolutional Neural Networks in the Frequency Domain (WC, JTW, ST, KQW, YC), pp. 1475–1484.
KDD-2016-ChuWPWZC: Finding Gangs in War from Signed Networks (LC, ZW, JP, JW, ZZ, EC), pp. 1505–1514.
KDD-2016-CoskunGK #performance #proximity #query: Efficient Processing of Network Proximity Queries via Chebyshev Acceleration (MC, AG, MK), pp. 1515–1524.
KDD-2016-DengSDZYL #predict: Latent Space Model for Road Networks to Predict Time-Varying Traffic (DD, CS, UD, LZ, RY, YL0), pp. 1525–1534.
KDD-2016-Freitas #composition #learning: Learning to Learn and Compositionality with Deep Recurrent Neural Networks: Learning to Learn and Compositionality (NdF), p. 3.
KDD-2016-GroverL #learning #named #scalability: node2vec: Scalable Feature Learning for Networks (AG, JL), pp. 855–864.
KDD-2016-GuoLI #approximate: Convolutional Neural Networks for Steady Flow Approximation (XG, WL, FI), pp. 481–490.
KDD-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.
KDD-2016-HuangZCSML #scalability: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks (ZH0, YZ, RC, YS, NM, XL), pp. 1595–1604.
KDD-2016-Li0TFT #named: QUINT: On Query-Specific Optimal Networks (LL, YY0, JT0, WF0, HT), pp. 985–994.
KDD-2016-LiuPLTCL #online #social: Audience Expansion for Online Social Network Advertising (HL, DP, KL, MT, FC, CL), pp. 165–174.
KDD-2016-NandanwarM #classification: Structural Neighborhood Based Classification of Nodes in a Network (SN, MNM), pp. 1085–1094.
KDD-2016-PerozziSST #recommendation: When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks (BP, MS, JS, MT), pp. 569–578.
KDD-2016-Robles-GrandaMN #generative #modelling: Sampling of Attributed Networks from Hierarchical Generative Models (PRG, SM, JN), pp. 1155–1164.
KDD-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.
KDD-2016-WangC0: Structural Deep Network Embedding (DW, PC0, WZ0), pp. 1225–1234.
KDD-2016-XuYYXZ #detection: Talent Circle Detection in Job Transition Networks (HX, ZY0, JY, HX, HZ), pp. 655–664.
KDD-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.
KDD-2016-YuCG #identification #social: Identifying Decision Makers from Professional Social Networks (SY, EC, AG), pp. 333–342.
KDD-2016-ZangCF #social: Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications (CZ, PC0, CF), pp. 2015–2024.
KDD-2016-ZhaiCZZ #learning #named #online: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks (SZ, KhC, RZ, Z(Z), pp. 1295–1304.
KDD-2016-ZhangT #named #performance: FINAL: Fast Attributed Network Alignment (SZ, HT), pp. 1345–1354.
KDD-2016-ZhangXKZ #evolution #named: NetCycle: Collective Evolution Inference in Heterogeneous Information Networks (YZ, YX, XK, YZ), pp. 1365–1374.
PLDI-2016-El-HassanyMBVV #analysis #concurrent #named: SDNRacer: concurrency analysis for software-defined networks (AEH, JM, PB, LV, MTV), pp. 402–415.
PLDI-2016-McClurgHFC #programming: Event-driven network programming (JM, HH, NF, PC), pp. 369–385.
PLDI-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.
POPL-2016-PlotkinBLRV #scalability #symmetry #using #verification: Scaling network verification using symmetry and surgery (GDP, NB, NPL, AR, GV), pp. 69–83.
ASE-2016-AbdessalemNBS #multi #testing #using: Testing advanced driver assistance systems using multi-objective search and neural networks (RBA, SN, LCB, TS), pp. 63–74.
ASE-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.
FSE-2016-Alexandru #synthesis #using: Guided code synthesis using deep neural networks (CVA), pp. 1068–1070.
CASE-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.
CASE-2016-LiuT #distributed #hybrid #multi #using: Distributed vision network for multiple target tracking using a dynamic hybrid consensus filter (GL, GT), pp. 805–808.
CASE-2016-ZouFP #estimation #metric #using: Psychoacoustic impacts estimation in manufacturing based on accelerometer measurement using artificial neural networks (MZ, LF, JP), pp. 1203–1208.
ESOP-2016-BresGH #algebra #process: A Timed Process Algebra for Wireless Networks with an Application in Routing - (Extended Abstract) (EB, RJvG, PH), pp. 95–122.
ICTSS-2016-SuzukiPKT #analysis #behaviour #visualisation: Distribution Visualization for User Behavior Analysis on LTE Network (MS, QP, TK, MT), pp. 249–255.
CBSE-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.
ECSA-2015-WangC #architecture #performance #social: A Specialised Social Network Software Architecture for Efficient Household Water Use Management (ZW, AC), pp. 146–153.
DRR-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).
HT-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.
HT-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.
HT-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.
HT-2015-KershawRS #online #social: Language Innovation and Change in On-line Social Networks (DK, MR, PS), pp. 311–314.
SIGMOD-2015-ErlingALCGPPB #benchmark #interactive #metric #social: The LDBC Social Network Benchmark: Interactive Workload (OE, AA, JLLP, HC, AG, APP, MDP, PAB), pp. 619–630.
SIGMOD-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.
SIGMOD-2015-JiangFW #keyword #scalability: Exact Top-k Nearest Keyword Search in Large Networks (MJ, AWCF, RCWW), pp. 393–404.
SIGMOD-2015-LiBCGM #named #towards: GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks (HL, SSB, JC, YG, JM), pp. 1525–1537.
SIGMOD-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.
SIGMOD-2015-WangLYXZ #approach #performance: Efficient Route Planning on Public Transportation Networks: A Labelling Approach (SW, WL, YY, XX, SZ), pp. 967–982.
VLDB-2015-LiQYM #community #scalability: Influential Community Search in Large Networks (RHL, LQ, JXY, RM), pp. 509–520.
VLDB-2015-NaziZT0D #online #performance #social: Walk, Not Wait: Faster Sampling Over Online Social Networks (AN, ZZ, ST, NZ, GD), pp. 678–689.
VLDB-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.
VLDB-2015-YuM #performance #scalability: Efficient Partial-Pairs SimRank Search for Large Networks (WY, JAM), pp. 569–580.
VLDB-2015-Zhou0D #online #performance #social: Leveraging History for Faster Sampling of Online Social Networks (ZZ, NZ, GD), pp. 1034–1045.
EDM-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.
EDM-2015-Eagle #interactive: Estimating the Local Size and Coverage of Interaction Network Regions (ME), pp. 671–673.
EDM-2015-EagleHB #estimation #interactive #predict #problem: Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments (ME, AH, TB), pp. 342–349.
EDM-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.
EDM-2015-JiangZLL #analysis #question #what: Influence Analysis by Heterogeneous Network in MOOC Forums: What can We Discover? (ZJ, YZ, CL, XL), pp. 242–249.
SIGITE-2015-ChouH #research: Theoretical Research Project vs. Hands-on Project in a Network Management Course (TSC, EH), pp. 145–148.
SIGITE-2015-FeasterZH: Serious Toys: Introducing Sensors and Sensor Networks in Pre-collegiate Classrooms (YF, JZ, JOH), pp. 3–8.
SIGITE-2015-StrongGS #performance: Work in Progress: Improving the Performance of the Radial Basis Function Network (AS, TG, LS), p. 103.
ICALP-v2-2015-AminofRZS #liveness: Liveness of Parameterized Timed Networks (BA, SR, FZ, FS), pp. 375–387.
ICALP-v2-2015-AvinLNP: Core Size and Densification in Preferential Attachment Networks (CA, ZL, YN, DP), pp. 492–503.
ICALP-v2-2015-BringmannFHRS: Ultra-Fast Load Balancing on Scale-Free Networks (KB, TF, MH, RR, TS), pp. 516–527.
ICALP-v2-2015-Charron-BostFN #algorithm #approximate: Approximate Consensus in Highly Dynamic Networks: The Role of Averaging Algorithms (BCB, MF, TN), pp. 528–539.
ICALP-v2-2015-KarbasiLS #normalisation: Normalization Phenomena in Asynchronous Networks (AK, JL, AS), pp. 688–700.
LATA-2015-CodishCS #game studies #sorting: Sorting Networks: The End Game (MC, LCF, PSK), pp. 664–675.
LATA-2015-LiH #algebra #automaton #on the: On Observability of Automata Networks via Computational Algebra (RL, YH), pp. 249–262.
FM-2015-NelsonFK #difference #program analysis: Static Differential Program Analysis for Software-Defined Networks (TN, ADF, SK), pp. 395–413.
RTA-2015-Hellstrom #algebra: Network Rewriting II: Bi- and Hopf Algebras (LH), pp. 194–208.
CHI-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-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-PLAY-2015-TondelloWSLKN #game studies: CHI PLAYGUE: A Networking Game of Emergent Sociality (GFT, RRW, SNS, AL, RK, LEN), pp. 791–794.
CIG-2015-Miikkulainen #evolution #tutorial: Tutorial III: Evolving neural networks (RM), p. 22.
CIG-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.
DiGRA-2015-PaavilainenKKA #case study #experience #game studies #social: Exploring Playful Experiences in Social Network Games (JP, EK, HK, KA).
FDG-2015-Vrajitoru #game studies: A Pattern-Based Bayesian Network for the Game of Nine Men's Morris (DV).
GaM-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.
CSCW-2015-Borge-Holthoefer #twitter: Content and Network Dynamics Behind Egyptian Political Polarization on Twitter (JBH, WM, KD, IW), pp. 700–711.
CSCW-2015-Ferro #social: The Importance of Publicly Available Social Networking Sites (SNSs) to Entrepreneurs (TF), pp. 917–928.
CSCW-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.
CSCW-2015-IkkalaL: Monetizing Network Hospitality: Hospitality and Sociability in the Context of Airbnb (TI, AL), pp. 1033–1044.
CSCW-2015-IslamP #social: Engagement and Well-being on Social Network Sites (AKMNI, SP), pp. 375–382.
CSCW-2015-Medhi-ThiesFGOC #named #social: KrishiPustak: A Social Networking System for Low-Literate Farmers (IMT, PF, NG, JO, EC), pp. 1670–1681.
CSCW-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.
CSCW-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.
CSCW-2015-WisniewskiIKP #privacy #social: Give Social Network Users the Privacy They Want (PJW, AKMNI, BPK, SP), pp. 1427–1441.
DUXU-DD-2015-Frankjaer #smarttech #social: Soft Computation in the Public Sphere: Enhancing Social Dynamics with Wearable Networks (TRF), pp. 447–457.
DUXU-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.
DUXU-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.
HCI-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.
HCI-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.
HIMI-IKD-2015-NoseLBK #approach: Centralized Approach for a Unified Wireless Network Access (JDN, JL, CB, AK), pp. 547–559.
LCT-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.
SCSM-2015-AhnL #social: An Analytic Study on Private SNS for Bonding Social Networking (HA, SL), pp. 107–117.
SCSM-2015-Kanawati #community #detection: Ensemble Selection for Community Detection in Complex Networks (RK), pp. 138–147.
SCSM-2015-KastratiIYD #analysis #online #social #using: Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON (ZK, ASI, SYY, FD), pp. 148–157.
SCSM-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.
SCSM-2015-VillelaXP #collaboration #identification: Identifying Collaboration Strategies in Scientific Collaboration Networks (MLBV, SX, ROP), pp. 253–264.
CAiSE-2015-SenderovichWGMK #process #validation: Discovery and Validation of Queueing Networks in Scheduled Processes (AS, MW, AG, AM, SK, CAB), pp. 417–433.
ICEIS-v1-2015-CerqueiraOG #community #framework #scalability #social: A Framework for Analysing Dynamic Communities in Large-scale Social Networks (VC, MDBO, JG), pp. 235–242.
ICEIS-v1-2015-CoelhoC: Radial Basis Function Neural Network Receiver for Wireless Channels (PHGC, FMC), pp. 658–663.
ICEIS-v1-2015-SarmentoCG #streaming #using: Streaming Networks Sampling using top-K Networks (RS, MC, JG), pp. 228–234.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2015-PieroniP #configuration management #domain-specific language: A DSL for Configuration Management of Integrated Network Management System (RP, RADP), pp. 355–364.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v3-2015-RosaZ #mobile #privacy #social: Location-sharing Model in Mobile Social Networks with Privacy Guarantee (TAR, SDZ), pp. 44–54.
CIKM-2015-AnwarLV0 #estimation #named: RoadRank: Traffic Diffusion and Influence Estimation in Dynamic Urban Road Networks (TA, CL, HLV, MSI0), pp. 1671–1674.
CIKM-2015-DingSGHYH #predict #sentiment #video: Video Popularity Prediction by Sentiment Propagation via Implicit Network (WD, YS, LG, XH, RY, TH), pp. 1621–1630.
CIKM-2015-GuoWWT #social #topic: Social-Relational Topic Model for Social Networks (WG, SW, LW0, TT), pp. 1731–1734.
CIKM-2015-HeLHTD #social: Extracting Interest Tags for Non-famous Users in Social Network (WH, HL, JH0, ST, XD0), pp. 861–870.
CIKM-2015-HeWJ #canonical #correlation #documentation #topic: Discovering Canonical Correlations between Topical and Topological Information in Document Networks (YH0, CW0, CJ), pp. 1281–1290.
CIKM-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.
CIKM-2015-KangGWM #algorithm #clustering #scalability: Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks (YK, XG, WW0, DM), pp. 33–42.
CIKM-2015-LiP #multi #named #privacy: ReverseCloak: Protecting Multi-level Location Privacy over Road Networks (CL0, BP), pp. 673–682.
CIKM-2015-MaoLF #approach #recognition #transaction: Fraud Transaction Recognition: A Money Flow Network Approach (RM, ZL, JF), pp. 1871–1874.
CIKM-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.
CIKM-2015-RezvaniLXL #identification #scalability #social: Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks (MR, WL, WX, CL), pp. 263–272.
CIKM-2015-ShiZLYYW #personalisation #recommendation #semantics: Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks (CS, ZZ, PL, PSY, YY, BW0), pp. 453–462.
CIKM-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.
CIKM-2015-SongHL #mining #social: Mining Brokers in Dynamic Social Networks (CS, WH, MLL), pp. 523–532.
CIKM-2015-TuarobTSR #modelling #social #using: Modeling Individual-Level Infection Dynamics Using Social Network Information (ST, CST, MS, NR), pp. 1501–1510.
CIKM-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.
CIKM-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.
CIKM-2015-YeL #constraints #logic #markov #multi: Structural Constraints for Multipartite Entity Resolution with Markov Logic Network (TY, HWL), pp. 1691–1694.
CIKM-2015-ZhaoZK #analysis #game studies #recommendation #social: Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks (TZ, HVZ, IK), pp. 851–860.
CIKM-2015-ZhouCLXZL #social: Location-Based Influence Maximization in Social Networks (TZ, JC, BL0, SX, ZZ, JL), pp. 1211–1220.
ECIR-2015-LiTWLR #automation #quality #wiki: Automatically Assessing Wikipedia Article Quality by Exploiting Article-Editor Networks (XL, JT, TW, ZL, MdR), pp. 574–580.
ECIR-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.
ICML-2015-AnBB #how #linear #question: How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? (SA, FB, MB), pp. 514–523.
ICML-2015-BachmanP #collaboration #generative #probability: Variational Generative Stochastic Networks with Collaborative Shaping (PB, DP), pp. 1964–1972.
ICML-2015-BlundellCKW #nondeterminism: Weight Uncertainty in Neural Network (CB, JC, KK, DW), pp. 1613–1622.
ICML-2015-ChenWTWC: Compressing Neural Networks with the Hashing Trick (WC, JTW, ST, KQW, YC), pp. 2285–2294.
ICML-2015-ChungGCB #feedback: Gated Feedback Recurrent Neural Networks (JC, ÇG, KC, YB), pp. 2067–2075.
ICML-2015-ClarkS #game studies: Training Deep Convolutional Neural Networks to Play Go (CC, AJS), pp. 1766–1774.
ICML-2015-FouldsKG #framework #modelling #probability #programming #topic: Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (JRF, SHK, LG), pp. 777–786.
ICML-2015-GregorDGRW #generative #image #named: DRAW: A Recurrent Neural Network For Image Generation (KG, ID, AG, DJR, DW), pp. 1462–1471.
ICML-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.
ICML-2015-Hernandez-Lobato15b #learning #probability #scalability: Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.
ICML-2015-HongYKH #learning #online: Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network (SH, TY, SK, BH), pp. 597–606.
ICML-2015-IoffeS #normalisation: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (SI, CS), pp. 448–456.
ICML-2015-JozefowiczZS #architecture #empirical: An Empirical Exploration of Recurrent Network Architectures (RJ, WZ, IS), pp. 2342–2350.
ICML-2015-LiSZ #generative: Generative Moment Matching Networks (YL, KS, RSZ), pp. 1718–1727.
ICML-2015-LongC0J #adaptation #learning: Learning Transferable Features with Deep Adaptation Networks (ML, YC, JW, MJ), pp. 97–105.
ICML-2015-MartensG #approximate #optimisation: Optimizing Neural Networks with Kronecker-factored Approximate Curvature (JM, RBG), pp. 2408–2417.
ICML-2015-SnoekRSKSSPPA #optimisation #scalability #using: Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
ICML-2015-SunWKM #geometry: Information Geometry and Minimum Description Length Networks (KS, JW, AK, SMM), pp. 49–58.
ICML-2015-TangSX #learning: Learning Scale-Free Networks by Dynamic Node Specific Degree Prior (QT, SS, JX), pp. 2247–2255.
ICML-2015-ZhaoMP #on the: On the Relationship between Sum-Product Networks and Bayesian Networks (HZ, MM, PP), pp. 116–124.
KDD-2015-0002PGM #on the: On the Formation of Circles in Co-authorship Networks (TC, SP, PG, AM), pp. 109–118.
KDD-2015-AgrawalGP #question #social #web: Whither Social Networks for Web Search? (RA, BG, EEP), pp. 1661–1670.
KDD-2015-ChangHTQAH #architecture: Heterogeneous Network Embedding via Deep Architectures (SC, WH, JT, GJQ, CCA, TSH), pp. 119–128.
KDD-2015-ChierichettiEKL #algorithm #performance #social: Efficient Algorithms for Public-Private Social Networks (FC, AE, RK, SL, VSM), pp. 139–148.
KDD-2015-DongZTCW #named #predict: CoupledLP: Link Prediction in Coupled Networks (YD, JZ, JT, NVC, BW), pp. 199–208.
KDD-2015-FakhraeiFSG #detection #evolution #multi #social: Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
KDD-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.
KDD-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.
KDD-2015-HallacLB #clustering #graph #optimisation #scalability: Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDD-2015-HanT #community #probability #social: Probabilistic Community and Role Model for Social Networks (YH, JT), pp. 407–416.
KDD-2015-JiangZT #capacity #constraints #social: Reciprocity in Social Networks with Capacity Constraints (BJ, ZLZ, DT), pp. 457–466.
KDD-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.
KDD-2015-LucierOS #distributed #scalability: Influence at Scale: Distributed Computation of Complex Contagion in Networks (BL, JO, YS), pp. 735–744.
KDD-2015-McAuleyPL: Inferring Networks of Substitutable and Complementary Products (JJM, RP, JL), pp. 785–794.
KDD-2015-MitzenmacherPPT #clique #detection #scalability: Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling (MM, JP, RP, CET, SCX), pp. 815–824.
KDD-2015-OhsakaMK #evolution #performance #rank: Efficient PageRank Tracking in Evolving Networks (NO, TM, KiK), pp. 875–884.
KDD-2015-RaptiSTT #multi: Virus Propagation in Multiple Profile Networks (AR, SS, KT, GT), pp. 975–984.
KDD-2015-RayanaA #detection #metadata #overview: Collective Opinion Spam Detection: Bridging Review Networks and Metadata (SR, LA), pp. 985–994.
KDD-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.
KDD-2015-SongMT #performance #recommendation: Efficient Latent Link Recommendation in Signed Networks (DS, DAM, DT), pp. 1105–1114.
KDD-2015-SpasojevicLRB #social: When-To-Post on Social Networks (NS, ZL, AR, PB), pp. 2127–2136.
KDD-2015-TangQM #named #predict #scalability: PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks (JT, MQ, QM), pp. 1165–1174.
KDD-2015-WangSERZH #clustering #documentation: Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDD-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.
KDD-2015-ZhangTMTJL #named #performance #scalability #similarity: Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
KDD-2015-ZhangTYPY #consistency #named #social: COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency (YZ, JT, ZY, JP, PSY), pp. 1485–1494.
KDD-2015-ZhuPCZZ #modelling #social: Modeling User Mobility for Location Promotion in Location-based Social Networks (WYZ, WCP, LJC, KZ, XZ), pp. 1573–1582.
RecSys-2015-ChaneyBE #personalisation #probability #recommendation #social #using: A Probabilistic Model for Using Social Networks in Personalized Item Recommendation (AJBC, DMB, TER), pp. 43–50.
RecSys-2015-MacedoMS #recommendation #social: Context-Aware Event Recommendation in Event-based Social Networks (AQdM, LBM, RLTS), pp. 123–130.
RecSys-2015-Salehi-AbariB #recommendation #social: Preference-oriented Social Networks: Group Recommendation and Inference (ASA, CB), pp. 35–42.
RecSys-2015-SousaDBM #analysis #named #recommendation: CNARe: Co-authorship Networks Analysis and Recommendations (GAdS, MAD, MAB, MMM), pp. 329–330.
SEKE-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.
SEKE-2015-GokhaleE #analysis #social: Social Analysis of the SEKE Co-Author Network (SSG, REK), pp. 237–243.
SEKE-2015-NetoSZD #using: Using implications from FCA to represent a two mode network data (SMN, MAJS, LEZ, SMD), pp. 256–259.
SIGIR-2015-HsiehLY #social: I See You: Person-of-Interest Search in Social Networks (HPH, CTL, RY), pp. 839–842.
SIGIR-2015-SeverynM #learning #rank: Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks (AS, AM), pp. 373–382.
SIGIR-2015-SeverynM15a #analysis #sentiment #twitter: Twitter Sentiment Analysis with Deep Convolutional Neural Networks (AS, AM), pp. 959–962.
SIGIR-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.
MoDELS-2015-LuddeckeSSS #modelling #using: Modeling user intentions for in-car infotainment systems using Bayesian networks (DL, CS, JS, IS), pp. 378–385.
LOPSTR-2015-CodishCNS #library #sorting: Applying Sorting Networks to Synthesize Optimized Sorting Libraries (MC, LCF, MN, PSK), pp. 127–142.
LOPSTR-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.
PLDI-2015-McClurgHCF #performance #synthesis: Efficient synthesis of network updates (JM, HH, PC, NF), pp. 196–207.
POPL-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.
PPDP-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-FSE-2015-ArcuriFG #automation #generative #testing: Generating TCP/UDP network data for automated unit test generation (AA, GF, JPG), pp. 155–165.
ICSE-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.
SAC-2015-ArbizaBSGT #internet #middleware #refactoring: Refactoring internet of things middleware through software-defined network (LMRA, LMB, CRPdS, LZG, LMRT), pp. 640–645.
SAC-2015-BoukAK #challenge #overview #research: Vehicular content centric network (VCCN): a survey and research challenges (SHB, SHA, DK), pp. 695–700.
SAC-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.
SAC-2015-ChoobdarRS: Discovering weighted motifs in gene co-expression networks (SC, PMPR, FMAS), pp. 10–17.
SAC-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.
SAC-2015-ErnstKR #evaluation #performance: Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints (JBE, SCK, JJPCR), pp. 680–687.
SAC-2015-FernandesPCRP #detection #metaheuristic #statistics: Statistical, forecasting and metaheuristic techniques for network anomaly detection (GF, EHMP, LFC, JJPCR, MLPJ), pp. 701–707.
SAC-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.
SAC-2015-GkorouPE #distributed #trust: Trust-based collection of information in distributed reputation networks (DG, JAP, DHJE), pp. 2312–2319.
SAC-2015-GomesB #integration #mobile: Feasibility of information-centric networking integration into LTE mobile networks (AG, TB), pp. 627–633.
SAC-2015-GotoT #communication #detection #visual notation: Anomalous network communication detection system by visual pattern on a client computer (HG, TT), pp. 1263–1269.
SAC-2015-Grossl #modelling: Modeling dependable systems with continuous time Bayesian networks (MG), pp. 436–441.
SAC-2015-IqbalAB #design #framework #scheduling: Designing network servers within a hierarchical scheduling framework (ZI, LA, MB), pp. 653–658.
SAC-2015-JamhourPPSB: Interference aware channel assignment for structured wireless sensor networks (EJ, MEP, MCP, RDS, GGdOB), pp. 716–719.
SAC-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.
SAC-2015-KatsalisSPKT: Content placement in heterogeneous end-to-end virtual networks (KK, VS, TP, TK, LT), pp. 602–608.
SAC-2015-Khan #multi: Multi-criteria based vertical handover decision in heterogeneous wireless network (MK), pp. 720–721.
SAC-2015-LagoMM #estimation #power management: High speed network impacts and power consumption estimation for cloud data centers (DGdL, ERMM, DM), pp. 615–620.
SAC-2015-LevoratoDFF #algorithm #social: An ILS algorithm to evaluate structural balance in signed social networks (ML, LMdAD, YF, RMVdF), pp. 1117–1122.
SAC-2015-LiZL #mobile #personalisation #social: Integrating mobile sensing and social network for personalized health-care application (HL, QZ, KL), pp. 527–534.
SAC-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.
SAC-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.
SAC-2015-MarquesRPSM #coordination #named: NVL: a coordination language for unmanned vehicle networks (ERBM, MR, JP, JBS, FM), pp. 331–334.
SAC-2015-MatlCD #effectiveness: Effective manycast messaging for Kademlia network (LM, TC, MJD), pp. 646–652.
SAC-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.
SAC-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.
SAC-2015-TroisMBF: From software defined network to network defined for software (CT, MM, LCEDB, MDDF), pp. 665–668.
SAC-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.
SAC-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.
ASPLOS-2015-TanQCAP #named #using: DIABLO: A Warehouse-Scale Computer Network Simulator using FPGAs (ZT, ZQ, XC, KA, DAP), pp. 207–221.
CASE-2015-ButtersGS #detection: Detecting and reducing redundancy in alarm networks (TDB, SG, JLS), pp. 1224–1229.
CASE-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.
CASE-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.
CASE-2015-DobslawGZ #challenge #industrial #using: Challenges for the use of data aggregation in industrial Wireless Sensor Networks (FD, MG, TZ), pp. 138–144.
CASE-2015-JiYA #automation #mobile #re-engineering: Automatic calibration and trajectory reconstruction of mobile robot in camera sensor network (YJ, AY, HA), pp. 206–211.
CASE-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.
CASE-2015-KanY #image #modelling #monitoring: Network models for monitoring high-dimensional image profiles (CK, HY), pp. 1078–1083.
CASE-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.
CASE-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.
CASE-2015-YuAGB #industrial #metric: Realization and measurements of industrial wireless sensor and actuator networks (KY, JÅ, MG, MB), pp. 131–137.
DAC-2015-CavigelliMB #embedded #realtime: Accelerating real-time embedded scene labeling with convolutional networks (LC, MM, LB), p. 6.
DAC-2015-CongGHRY #architecture: On-chip interconnection network for accelerator-rich architectures (JC, MG, YH, GR, BY), p. 6.
DAC-2015-LiuKDK #data access #reduction: Network footprint reduction through data access and computation placement in NoC-based manycores (JL, JK, WD, MTK), p. 6.
DAC-2015-NishimiyaSS #evaluation #functional #interface #mockup #modelling: Evaluation of functional mock-up interface for vehicle power network modeling (KN, TS, SS), p. 6.
DAC-2015-ShreejithF #embedded #generative #security: Security aware network controllers for next generation automotive embedded systems (SS, SAF), p. 6.
DAC-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.
DATE-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.
DATE-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.
DATE-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.
DATE-2015-MirhosseiniSFMS #energy: An energy-efficient virtual channel power-gating mechanism for on-chip networks (AM, MS, AF, MM, HSA), pp. 1527–1532.
DATE-2015-MundhenkSLFC #authentication #lightweight: Lightweight authentication for secure automotive networks (PM, SS, ML, SAF, SC), pp. 285–288.
DATE-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.
DATE-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.
DATE-2015-ThangamuthuCCL #analysis: Analysis of ethernet-switch traffic shapers for in-vehicle networking applications (ST, NC, PJLC, JJL), pp. 55–60.
DATE-2015-ZhangWTYX #approximate #framework #named: ApproxANN: an approximate computing framework for artificial neural network (QZ, TW, YT, FY, QX), pp. 701–706.
HPCA-2015-ChrysosMRBV #named: SCOC: High-radix switches made of bufferless clos networks (NC, CM, MR, CB, BV), pp. 402–414.
HPCA-2015-FujiwaraKOMC: Augmenting low-latency HPC network with free-space optical links (IF, MK, TO, HM, HC), pp. 390–401.
HPCA-2015-WonKKJPS #scalability: Overcoming far-end congestion in large-scale networks (JW, GK, JK, TJ, MP, SS), pp. 415–427.
HPDC-2015-PokeH #named #replication #state machine: DARE: High-Performance State Machine Replication on RDMA Networks (MP, TH), pp. 107–118.
PDP-2015-BlaskiewiczZBD #gpu #parallel: An Application of GPU Parallel Computing to Power Flow Calculation in HVDC Networks (PB, MZ, PB, PD), pp. 635–641.
PDP-2015-FedorchenkoKC #analysis #database #design #security: Design of Integrated Vulnerabilities Database for Computer Networks Security Analysis (AF, IVK, AC), pp. 559–566.
PDP-2015-HenrioMM #named #process: pNets: An Expressive Model for Parameterised Networks of Processes (LH, EM, MM), pp. 492–496.
PDP-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.
PDP-2015-NgyenJDHDPT #framework #named: FIST: A Framework to Interleave Spiking Neural Networks on CGRAs (TN, SMAHJ, MD, AH, SD, JP, HT), pp. 751–758.
STOC-2015-Czumaj #permutation #random #using: Random Permutations using Switching Networks (AC), pp. 703–712.
TACAS-2015-GiacobbeGGHPP #model checking: Model Checking Gene Regulatory Networks (MG, CCG, AG, TAH, TP, TP), pp. 469–483.
TACAS-2015-NamjoshiT #analysis #process: Analysis of Dynamic Process Networks (KSN, RJT), pp. 164–178.
CAV-2015-AbateBCK #adaptation #analysis #markov: Adaptive Aggregation of Markov Chains: Quantitative Analysis of Chemical Reaction Networks (AA, LB, MC, MZK), pp. 195–213.
CAV-2015-FisherKPW #execution: Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data (JF, ASK, NP, SW), pp. 544–560.
ICTSS-2015-KitaharaNSFA #capacity #evaluation: A Practical Evaluation Method of Network Traffic Load for Capacity Planning (TK, SN, MS, NF, SA), pp. 263–268.
ECSA-2014-BerardinelliMP #analysis #design #performance: fUML-Driven Design and Performance Analysis of Software Agents for Wireless Sensor Network (LB, ADM, SP), pp. 324–339.
HT-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.
HT-2014-ChelaruHNS #communication: Recognizing skill networks and their specific communication and connection practices (SC, EH, KDN, PS), pp. 13–23.
HT-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.
HT-2014-WenLTP #twitter: Twitter in academic conferences: usage, networking and participation over time (XW, YRL, CT, DP), pp. 285–290.
HT-2014-ZhangBR #analysis #empirical #social #social media: Empirical analysis of implicit brand networks on social media (KZ, SB, SR), pp. 190–199.
JCDL-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.
JCDL-2014-BarkerBM #library: Vector-Borne Disease Network digital library (MB, DB, NM), pp. 435–436.
JCDL-2014-CostaQW #repository #research: Research networks in data repositories (MRC, JQ, JW), pp. 403–406.
JCDL-2014-LarsonPT #named #social #towards: SNAC: The Social Networks and Archival Context project — Towards an archival authority cooperative (RRL, DP, AT), pp. 427–428.
JCDL-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.
PODS-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.
SIGMOD-2014-ChenLWXML #algorithm #performance #query: Efficient algorithms for optimal location queries in road networks (ZC, YL, RCWW, JX, GM, CL), pp. 123–134.
SIGMOD-2014-Dev #algorithm #community #detection #interactive #online #social: A user interaction based community detection algorithm for online social networks (HD), pp. 1607–1608.
SIGMOD-2014-FengCBM #online #social: In search of influential event organizers in online social networks (KF, GC, SSB, SM), pp. 63–74.
SIGMOD-2014-LevinK #pipes and filters #social #using: Stratified-sampling over social networks using mapreduce (RL, YK), pp. 863–874.
SIGMOD-2014-PolychroniouSR #distributed: Track join: distributed joins with minimal network traffic (OP, RS, KAR), pp. 1483–1494.
SIGMOD-2014-ShenHW #probability #web: A probabilistic model for linking named entities in web text with heterogeneous information networks (WS, JH, JW), pp. 1199–1210.
SIGMOD-2014-ShiMWC #clustering: Density-based place clustering in geo-social networks (JS, NM, DW, DWC), pp. 99–110.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2014-ZhangCPSX #named: PrivBayes: private data release via bayesian networks (JZ, GC, CMP, DS, XX), pp. 1423–1434.
VLDB-2014-HuangBJW #realtime #scalability: Large Scale Real-time Ridesharing with Service Guarantee on Road Networks (YH, FB, RJ, XSW), pp. 2017–2028.
VLDB-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.
VLDB-2014-KongLH #named #social #social media: SPOT: Locating Social Media Users Based on Social Network Context (LK, ZL, YH), pp. 1681–1684.
VLDB-2014-KorulaL #algorithm #performance #social: An efficient reconciliation algorithm for social networks (NK, SL), pp. 377–388.
VLDB-2014-SongSZZ #framework #named #novel: PRESS: A Novel Framework of Trajectory Compression in Road Networks (RS, WS, BZ, YZ), pp. 661–672.
VLDB-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.
SIGITE-2014-SchmidtHM #education #physics: A virtualized testbed with physical outlets for hands-on computer networking education (MS, FH, MM), pp. 3–8.
SIGITE-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.
SIGITE-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.
SIGITE-2014-WangBM #design #education #lessons learnt: Teaching a networking class for freshmen: course design and lessons learned (YW, TB, MM), pp. 9–14.
ICPC-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.
ICALP-v1-2014-KontogiannisZ #distance: Distance Oracles for Time-Dependent Networks (SCK, CDZ), pp. 713–725.
ICALP-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.
ICALP-v2-2014-AschnerK #bound #constraints #modelling: Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints (RA, MJK), pp. 387–398.
ICALP-v2-2014-AvinBLP #axiom #design #distributed: Distributed Computing on Core-Periphery Networks: Axiom-Based Design (CA, MB, ZL, DP), pp. 399–410.
ICALP-v2-2014-ChalopinDLP #fault tolerance: Fault-Tolerant Rendezvous in Networks (JC, YD, AL, AP), pp. 411–422.
ICALP-v2-2014-DamsHK #learning: Jamming-Resistant Learning in Wireless Networks (JD, MH, TK), pp. 447–458.
ICALP-v2-2014-EmekSW: Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs (YE, JS, RW), pp. 183–195.
LATA-2014-ArroyoCMP: Networks of Polarized Evolutionary Processors Are Computationally Complete (FA, SGC, VM, SP), pp. 101–112.
LATA-2014-BreveglieriCM #parsing: Shift-Reduce Parsers for Transition Networks (LB, SCR, AM), pp. 222–235.
LATA-2014-BundalaZ #sorting: Optimal Sorting Networks (DB, JZ), pp. 236–247.
LATA-2014-Martos-SalgadoR #petri net: Expressiveness of Dynamic Networks of Timed Petri Nets (MMS, FRV), pp. 516–527.
FM-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.
SEFM-2014-PardoS #framework #policy #privacy #social: A Formal Privacy Policy Framework for Social Networks (RP, GS), pp. 378–392.
CIG-2014-AsensioDC #evolution: Evolving Artificial Neural Networks applied to generate virtual characters (JMLA, JPD, PC0), pp. 1–5.
CIG-2014-SzubertJ #difference #game studies #learning: Temporal difference learning of N-tuple networks for the game 2048 (MGS, WJ), pp. 1–8.
GT-VMT-2014-HusseinHDS #adaptation #modelling: Modelling Adaptive Networks: The Case of the Petrified Voters (MH, RH, VD, PS).
CHI-2014-BachPF #matrix #visualisation: Visualizing dynamic networks with matrix cubes (BB, EP, JDF), pp. 877–886.
CHI-2014-BurkeK #facebook #social: Growing closer on facebook: changes in tie strength through social network site use (MB, REK), pp. 4187–4196.
CHI-2014-DaviesLCEFKS #personalisation #pervasive #privacy: Personalisation and privacy in future pervasive display networks (ND, ML, SC, IE, AF, TK, BS), pp. 2357–2366.
CHI-2014-ForlinesMGB #crowdsourcing #predict #social: Crowdsourcing the future: predictions made with a social network (CF, SM, LG, RB), pp. 3655–3664.
CHI-2014-Hale #multi #twitter: Global connectivity and multilinguals in the Twitter network (SAH), pp. 833–842.
CHI-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.
CHI-2014-McGookinBC #social: Studying digital graffiti as a location-based social network (DKM, SAB, GC), pp. 3269–3278.
CHI-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.
CHI-2014-Smith-ClarkeMC #communication #mobile #using: Poverty on the cheap: estimating poverty maps using aggregated mobile communication networks (CSC, AJM, LC), pp. 511–520.
CHI-2014-WuA #online #social #visual notation: Visually impaired users on an online social network (SW, LAA), pp. 3133–3142.
CSCW-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.
CSCW-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.
CSCW-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.
CSCW-2014-LingelNB #online: City, self, network: transnational migrants and online identity work (JL, MN, DB), pp. 1502–1510.
CSCW-2014-MarlowD #design #development #social: From rookie to all-star: professional development in a graphic design social networking site (JM, LD), pp. 922–933.
CSCW-2014-Morris #social #women: Social networking site use by mothers of young children (MRM), pp. 1272–1282.
CSCW-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.
CSCW-2014-ZhangCG #evolution #social: Creepy but inevitable?: the evolution of social networking (HZ, MDC, JG), pp. 368–378.
DHM-2014-ZhangGBD #industrial: Application of Bayesian Networks in Consumer Service Industry and Healthcare (LZ, YG, BB, VGD), pp. 484–495.
DUXU-DI-2014-ArfaaW14a #social #usability: A Usability Study on Elder Adults Utilizing Social Networking Sites (JA, Y(W), pp. 50–61.
DUXU-DI-2014-FrankjaerG #hybrid #smarttech: Wearable Networks, Creating Hybrid Spaces with Soft Circuits (TRF, DG), pp. 435–445.
DUXU-ELAS-2014-Abdullah #monitoring #simulation: Simulation of Wireless Sensor Network for Flood Monitoring System (MA), pp. 255–264.
DUXU-ELAS-2014-EmilianoSFBP: Traffic Management in Rural Networks (RE, FS, LF, JB, AP), pp. 452–461.
HCI-AS-2014-Moallem: Home Networking: Smart but Complicated (AM), pp. 731–741.
HIMI-AS-2014-JiangLLC #identification #sequence: Neural Networks for Identifying Civil Pilot’s Operation Sequences (ZJ, QL, YL, BC), pp. 241–252.
HIMI-AS-2014-MaeshiroM #process: Polyhedron Network Model to Describe Creative Processes (TM, MM), pp. 535–545.
HIMI-DE-2014-MatsunagaY #documentation: Digital Document Network System for Organizing Individual Knowledge (KM, KY), pp. 396–403.
HIMI-DE-2014-PinheiroCM #social: Increasing Information Auditability for Social Network Users (AP, CC, CM), pp. 536–547.
HIMI-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.
LCT-TRE-2014-BaldiniKLT #social #trust: European Citizens and Their Trust in Social Networks (GB, IK, JL, MT), pp. 363–374.
LCT-TRE-2014-OliveiraM #learning #research: Digital Identity of Researchers and Their Personal Learning Network (NRO, LM), pp. 467–477.
SCSM-2014-AbdallaY #online #overview #process #social #using: A Review of Using Online Social Networks for Investigative Activities (AA, SYY), pp. 3–12.
SCSM-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.
SCSM-2014-AlvesMA #gamification #guidelines #mobile #social: Guidelines for the Gamification in Mobile Social Networks (FPA, CM, JCA), pp. 559–570.
SCSM-2014-FardounAC #education #representation #social #student: Representing Students Curriculum in Social Networks (HMF, AA, APC), pp. 48–58.
SCSM-2014-FawziS #gender #online #social: An Investigation into Gender Role Conformity in an Online Social Networking Environment (AF, AS), pp. 322–330.
SCSM-2014-Fu #microblog #social: Can Network Help Chinese Microblogs Diffuse? Analyzing 118 Networks of Reposts About Social Issues in China (KwF), pp. 331–341.
SCSM-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.
SCSM-2014-Kanawati #community #detection: Seed-Centric Approaches for Community Detection in Complex Networks (RK), pp. 197–208.
SCSM-2014-LeeLS #approach #social: A New Approach to Exploring Spatiotemporal Space in the Context of Social Network Services (JGL, KCL, DHS), pp. 221–228.
SCSM-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.
SCSM-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.
SCSM-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.
SCSM-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.
CAiSE-2014-BennacerJPQ #social: Matching User Profiles Across Social Networks (NB, CNJ, AP, GQ), pp. 424–438.
CAiSE-2014-StulpnagelOS #logic #markov #risk management: IT Risk Management with Markov Logic Networks (JvS, JO, JS), pp. 301–315.
CAiSE-2014-VergneS #community #markov #open source #using: Expert Finding Using Markov Networks in Open Source Communities (MV, AS), pp. 196–210.
ICEIS-v1-2014-CoelhoAABB #using: Router Nodes Positioning for Wireless Networks Using Artificial Immune Systems (PHGC, JLMdA, JFMdA, LFdAB, AVdB), pp. 415–421.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2014-AlanneKN #development #enterprise: Networks of Pain in ERP Development (AA, TK, EN), pp. 257–266.
ICEIS-v2-2014-KaramtiTG #image #process #retrieval #using: Vectorization of Content-based Image Retrieval Process Using Neural Network (HK, MT, FG), pp. 435–439.
ICEIS-v2-2014-LiuDT #reliability: Auditing Data Reliability in International Logistics — An Application of Bayesian Networks (LL, HAMD, RT), pp. 707–712.
ICEIS-v2-2014-VieiraJF #analysis: A Risk Analysis Method for Selecting Service Providers in P2P Service Overlay Networks (RGV, OCAJ, AF), pp. 477–488.
CIKM-2014-DahimeneCM #named #recommendation #social: RecLand: A Recommender System for Social Networks (RD, CC, CdM), pp. 2063–2065.
CIKM-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.
CIKM-2014-GuiSHB #modelling #multi #topic: Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
CIKM-2014-JiaDGZ #analysis #community: Analysis on Community Variational Trend in Dynamic Networks (XJ, ND, JG, AZ), pp. 151–160.
CIKM-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.
CIKM-2014-LiuXD #mining #predict: Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining (YL, SX, LD), pp. 1649–1658.
CIKM-2014-LuciaF #classification #knowledge-based #named: EgoCentric: Ego Networks for Knowledge-based Short Text Classification (WL, EF), pp. 1079–1088.
CIKM-2014-LuSY #identification #social: Identifying Your Customers in Social Networks (CTL, HHS, PSY), pp. 391–400.
CIKM-2014-MahdabiC #mining #recommendation #retrieval: Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation (PM, FC), pp. 1659–1668.
CIKM-2014-PfeifferNB #learning #probability #using: Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference (JJPI, JN, PNB), pp. 639–648.
CIKM-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.
CIKM-2014-RahmanH #strict #using: Sampling Triples from Restricted Networks using MCMC Strategy (MR, MAH), pp. 1519–1528.
CIKM-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.
CIKM-2014-ShenJ #information management #multi #online #social: Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks (YS, HJ), pp. 381–390.
CIKM-2014-ShihKRCGSP #component #detection: Component Detection in Directed Networks (YKS, SK, YR, JC, AG, TS, SP), pp. 1729–1738.
CIKM-2014-ShiWLYW #clustering: Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection (CS, RW, YL, PSY, BW), pp. 699–708.
CIKM-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.
CIKM-2014-WangWC #community #detection #named #social: CoDEM: An Ingenious Tool of Insight into Community Detection in Social Networks (MW, CW, JC), pp. 2006–2008.
CIKM-2014-YuX #interactive #learning #predict #scalability #social: Learning Interactions for Social Prediction in Large-scale Networks (XY, JX), pp. 161–170.
ECIR-2014-LiakosPS #locality #on the #social: On the Effect of Locality in Compressing Social Networks (PL, KP, MS), pp. 650–655.
ECIR-2014-LuoGWL #algorithm #classification #named #novel: HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks (CL, RG, ZW, CL), pp. 210–221.
ECIR-2014-ZhangZWS #recommendation: Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks (CZ, XZ, KW, JS), pp. 39–50.
ICML-c1-2014-PinheiroC: Recurrent Convolutional Neural Networks for Scene Labeling (PHOP, RC), pp. 82–90.
ICML-c1-2014-RooshenasL #interactive #learning: Learning Sum-Product Networks with Direct and Indirect Variable Interactions (AR, DL), pp. 710–718.
ICML-c1-2014-ZhouT #generative #predict #probability: Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction (JZ, OGT), pp. 745–753.
ICML-c2-2014-AndoniPV0 #learning: Learning Polynomials with Neural Networks (AA, RP, GV, LZ), pp. 1908–1916.
ICML-c2-2014-AziziAG #composition #learning: Learning Modular Structures from Network Data and Node Variables (EA, EA, JEG), pp. 1440–1448.
ICML-c2-2014-BengioLAY #generative #probability: Deep Generative Stochastic Networks Trainable by Backprop (YB, EL, GA, JY), pp. 226–234.
ICML-c2-2014-CarlssonMRS #clustering #symmetry: Hierarchical Quasi-Clustering Methods for Asymmetric Networks (GEC, FM, AR, SS), pp. 352–360.
ICML-c2-2014-CelikLL #estimation #performance #reduction: Efficient Dimensionality Reduction for High-Dimensional Network Estimation (SC, BAL, SIL), pp. 1953–1961.
ICML-c2-2014-ChakrabartiFCM #multi #scalability: Joint Inference of Multiple Label Types in Large Networks (DC, SF, JC, SAM), pp. 874–882.
ICML-c2-2014-DaneshmandGSS #algorithm #complexity: Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm (HD, MGR, LS, BS), pp. 793–801.
ICML-c2-2014-DuLBS #information management #learning: Influence Function Learning in Information Diffusion Networks (ND, YL, MFB, LS), pp. 2016–2024.
ICML-c2-2014-GravesJ #recognition #speech #towards: Towards End-To-End Speech Recognition with Recurrent Neural Networks (AG, NJ), pp. 1764–1772.
ICML-c2-2014-GregorDMBW: Deep AutoRegressive Networks (KG, ID, AM, CB, DW), pp. 1242–1250.
ICML-c2-2014-LevineK #learning #optimisation #policy: Learning Complex Neural Network Policies with Trajectory Optimization (SL, VK), pp. 829–837.
ICML-c2-2014-LindermanA #process: Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.
ICML-c2-2014-MnihG #learning: Neural Variational Inference and Learning in Belief Networks (AM, KG), pp. 1791–1799.
ICML-c2-2014-PandeyD #learning: Learning by Stretching Deep Networks (GP, AD), pp. 1719–1727.
ICML-c2-2014-SuGR #predict: Structured Prediction of Network Response (HS, AG, JR), pp. 442–450.
ICML-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.
ICPR-2014-AlvaroSB: Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks (FA, JAS, JMB), pp. 2944–2949.
ICPR-2014-ByeonLB #2d #classification #using: Texture Classification Using 2D LSTM Networks (WB, ML, TMB), pp. 1144–1149.
ICPR-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.
ICPR-2014-DongPHLDJ #classification #using: Vehicle Type Classification Using Unsupervised Convolutional Neural Network (ZD, MP, YH, TL, YD, YJ), pp. 172–177.
ICPR-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.
ICPR-2014-FuscoEM #data analysis #locality: Bad Data Analysis with Sparse Sensors for Leak Localisation in Water Distribution Networks (FF, BE, SM), pp. 3642–3647.
ICPR-2014-GoldhammerDBGS: Pedestrian’s Trajectory Forecast in Public Traffic with Artificial Neural Networks (MG, KD, UB, AG, BS), pp. 4110–4115.
ICPR-2014-HafemannOC #recognition #using: Forest Species Recognition Using Deep Convolutional Neural Networks (LGH, LSO, PRC), pp. 1103–1107.
ICPR-2014-HuangHWW #clustering: Deep Embedding Network for Clustering (PH, YH, WW, LW), pp. 1532–1537.
ICPR-2014-HuangW0T #framework: A General Nonlinear Embedding Framework Based on Deep Neural Network (YH, WW, LW, TT), pp. 732–737.
ICPR-2014-IosifidisTP #classification: Semi-supervised Classification of Human Actions Based on Neural Networks (AI, AT, IP), pp. 1336–1341.
ICPR-2014-IwahoriFWB #image: Neural Network Based Image Modification for Shape from Observed SEM Images (YI, KF, RJW, MKB), pp. 2131–2136.
ICPR-2014-KangKYLD #classification #documentation #image: Convolutional Neural Networks for Document Image Classification (LK, JK, PY, YL, DSD), pp. 3168–3172.
ICPR-2014-KunwarPB #online #recognition: Semi-supervised Online Bayesian Network Learner for Handwritten Characters Recognition (RK, UP, MB), pp. 3104–3109.
ICPR-2014-OGormanLY #multi #process: Creating a Unified, Wide-Area Activity Map for Multi-camera Networks (LO, DL, GY), pp. 4588–4593.
ICPR-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.
ICPR-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.
ICPR-2014-TsuchiyaMT: Exemplar Network: A Generalized Mixture Model (CT, TM, AT), pp. 598–603.
ICPR-2014-Wilson #graph #modelling: Graph Signatures for Evaluating Network Models (RCW), pp. 100–105.
ICPR-2014-WuHYWT #image #segmentation: Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation (ZW, YH, YY, LW, TT), pp. 1538–1543.
ICPR-2014-XuS #learning #using: Bayesian Network Structure Learning Using Causality (ZX, SNS), pp. 3546–3551.
KDD-2014-00020GMB #community #on the: On the permanence of vertices in network communities (TC, SS, NG, AM, SB), pp. 1396–1405.
KDD-2014-AkibaMK #analysis: Network structural analysis via core-tree-decomposition Publication of this article pending inquiry (TA, TM, KiK), pp. 1476–1485.
KDD-2014-BensonRS #learning #multi #scalability: Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDD-2014-DongYTYC #mobile #social: Inferring user demographics and social strategies in mobile social networks (YD, YY, JT, YY, NVC), pp. 15–24.
KDD-2014-EmbarPB #framework: A bayesian framework for estimating properties of network diffusions (VRE, RKP, IB), pp. 1216–1225.
KDD-2014-GhoshTLY #community #difference: The interplay between dynamics and networks: centrality, communities, and cheeger inequality (RG, SHT, KL, XY), pp. 1406–1415.
KDD-2014-GuSJWC #estimation #topic: Topic-factorized ideal point estimation model for legislative voting network (YG, YS, NJ, BW, TC), pp. 183–192.
KDD-2014-HerodotouDBOF #locality #realtime #scalability: Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDD-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.
KDD-2014-KhalilDS #optimisation #scalability: Scalable diffusion-aware optimization of network topology (EBK, BND, LS), pp. 1226–1235.
KDD-2014-KurashimaITS #probability #visualisation: Probabilistic latent network visualization: inferring and embedding diffusion networks (TK, TI, NT, HS), pp. 1236–1245.
KDD-2014-NiTFZ #ranking: Inside the atoms: ranking on a network of networks (JN, HT, WF, XZ), pp. 1356–1365.
KDD-2014-PurohitPKZS #performance #scalability: Fast influence-based coarsening for large networks (MP, BAP, CK, YZ, VSS), pp. 1296–1305.
KDD-2014-RozenshteinAGT #detection #process: Event detection in activity networks (PR, AA, AG, NT), pp. 1176–1185.
KDD-2014-ShakarianSPB #social #source code: Reducing gang violence through network influence based targeting of social programs (PS, JS, WP, JB), pp. 1829–1836.
KDD-2014-SintosT #social #using: Using strong triadic closure to characterize ties in social networks (SS, PT), pp. 1466–1475.
KDD-2014-SpasojevicYRB #multi #named #scalability #social #topic: LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDD-2014-SunSTLKTY #behaviour #collaboration: Analyzing expert behaviors in collaborative networks (HS, MS, ST, YL, LMK, ST, XY), pp. 1486–1495.
KDD-2014-WangHYL #multi #named: MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
KDD-2014-XiaoCT: Differentially private network data release via structural inference (QX, RC, KLT), pp. 911–920.
KDD-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.
KDD-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.
KDD-2014-ZhangTMF #learning: Supervised deep learning with auxiliary networks (JZ, GT, YM, WF), pp. 353–361.
KDD-2014-ZhouL #classification #mining #multi: Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.
KDD-2014-ZhuSY #analysis #mining #social: Network mining and analysis for social applications (FZ, HS, XY), p. 1974.
KDIR-2014-JohnsonC #clustering #identification: Mathematical Foundations of Networks Supporting Cluster Identification (JEJ, JWC), pp. 277–285.
KMIS-2014-GuerrucciDAB #approach #information management: Phased Approach to a Knowledge Management Network (DG, RMD, RCA, DB), pp. 101–108.
KMIS-2014-LambriniA14a #challenge #information management #ontology: Challenges and Directions for Knowledge Management in Networks of Aligned Ontologies (SL, KA), pp. 146–152.
KMIS-2014-UrwinPCCPPY #ontology: Reference Ontologies for Global Production Networks (ENU, CP, AFCD, FSC, JMPS, SPG, RIMY), pp. 133–139.
KR-2014-BenferhatT #nondeterminism #reasoning: Reasoning with Uncertain Inputs in Possibilistic Networks (SB, KT).
MLDM-2014-FuMD #classification #multi #performance #towards: Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier (SF, SM, MCD), pp. 16–30.
MLDM-2014-JavedA #classification #dataset #social #using: Creation of Bi-lingual Social Network Dataset Using Classifiers (IJ, HA), pp. 523–533.
MLDM-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.
MLDM-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.
RecSys-2014-BhattacharyaZGGG #social #twitter: Inferring user interests in the Twitter social network (PB, MBZ, NG, SG, KPG), pp. 357–360.
RecSys-2014-GaoTL #personalisation #recommendation #social: Personalized location recommendation on location-based social networks (HG, JT, HL), pp. 399–400.
RecSys-2014-Vahedian #hybrid #recommendation: Weighted hybrid recommendation for heterogeneous networks (FV), pp. 429–432.
RecSys-2014-ZhangOFL #modelling #scalability #social: Scalable audience targeted models for brand advertising on social networks (KZ, AMO, SF, HL), pp. 341–344.
SEKE-2014-CheMLC #online #protocol #runtime #testing: Testing Network Protocols: formally, at runtime and online (XC, SM, JL, ARC), pp. 90–93.
SEKE-2014-JiangWZD #online #social: Forwarding Links without Browsing Links in Online Social Networks (JJ, XW, LZ, YD), pp. 636–641.
SEKE-2014-WangGZ #predict #using: Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (YW, JG, ZZ), pp. 501–506.
SIGIR-2014-AnilSS #evolution #kernel #modelling #social #using: Modeling evolution of a social network using temporalgraph kernels (AA, NS, SRS), pp. 1051–1054.
SIGIR-2014-BianYC #microblog #predict: Predicting trending messages and diffusion participants in microblogging network (JB, YY, TSC), pp. 537–546.
SIGIR-2014-HuangTK #distance #people: The role of network distance in linkedin people search (SWH, DT, KK), pp. 867–870.
SIGIR-2014-NguyenL #microblog #on the #predict: On predicting religion labels in microblogging networks (MTN, EPL), pp. 1211–1214.
SIGIR-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.
SKY-2014-ExmanN #performance #recommendation #social: Location-based Fast Recommendation Social Network (IE, EN), pp. 55–62.
HILT-2014-RathjeR #framework #java #model checking #source code: A framework for model checking UDP network programs with Java pathfinder (WR, BR), pp. 81–86.
PLDI-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.
POPL-2014-AndersonFGJKSW #named #semantics: NetkAT: semantic foundations for networks (CJA, NF, AG, JBJ, DK, CS, DW), pp. 113–126.
FSE-2014-Lam #named #social: Omlet: a revolution against big-brother social networks (MSL), p. 1.
FSE-2014-Yang #analysis #open source #overview #perspective #social: Social network analysis in open source software peer review (XY), pp. 820–822.
SAC-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.
SAC-2014-BaeLKWP #privacy #social: Analyzing network privacy preserving methods: a perspective of social network characteristics (DHB, JML, SWK, YW, YP), pp. 331–332.
SAC-2014-BarddalGE #classification #concept #named #social: SFNClassifier: a scale-free social network method to handle concept drift (JPB, HMG, FE), pp. 786–791.
SAC-2014-ChoiKKLK: A new device discovery scheme in lighting control networks (SIC, SJK, IK, SKL, TGK), pp. 1743–1744.
SAC-2014-DhanjalC #learning: Learning reputation in an authorship network (CD, SC), pp. 1724–1726.
SAC-2014-FanC #approximate #framework #scalability #social: An approximate framework for scaling social influence computation in large networks (YCF, HC), pp. 610–615.
SAC-2014-GomesBM #similarity: A similarity model for virtual networks negotiation (RLG, LFB, ERMM), pp. 489–494.
SAC-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.
SAC-2014-KimK #community #detection #mobile #social: A detection of overlapping community in mobile social network (PK, SK), pp. 175–179.
SAC-2014-KimKYP #online #social: Sampling in online social networks (SWK, KNK, SHY, SP), pp. 845–849.
SAC-2014-LiuCM #ad hoc #approach #composition #mobile: A low-latency service composition approach in mobile ad hoc networks (CL, JC, FLM), pp. 509–511.
SAC-2014-MazelFF #comparison #detection #diagrams #visual notation: Visual comparison of network anomaly detectors with chord diagrams (JM, RF, KF), pp. 473–480.
SAC-2014-ParkH #analysis #performance: Performance analysis of the golden-SM in the V2V network (MCP, DSH), pp. 1739–1740.
SAC-2014-ParkY #multi #simulation #smarttech: Encountering smartphones in network simulation: a preliminary result on multi-radio multicast (YP, WY), pp. 1727–1728.
SAC-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.
SAC-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.
SAC-2014-RossiLR #algorithm #classification #using: A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification (RGR, AAL, SOR), pp. 79–84.
SAC-2014-SeffrinRJ #algebra: A dynamic bayesian network for inference of learners’ algebraic knowledge (HMS, GLR, PAJ), pp. 235–240.
SAC-2014-SeoKTC #analysis #framework #social: A structural analysis of literary fictions with social network framework (JS, SHK, HT, HGC), pp. 634–640.
SAC-2014-TesfayHBO #architecture #communication: Cyber-secure communication architecture for active power distribution networks (TTT, JPH, JYLB, PO), pp. 545–552.
SAC-2014-WangW: Wavelength resources based lightpath-level active rerouting in all-optical WDM networks (SWW, CYW), pp. 495–500.
SAC-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.
SAC-2014-WangZC #composition #energy #framework: An energy-aware service composition framework for service-oriented wireless sensor networks (TW, KZ, LC), pp. 408–410.
SAC-2014-YoonY #authentication #using: A biometric-based authenticated key agreement scheme using ECC for wireless sensor networks (EJY, KYY), pp. 699–705.
SAC-2014-ZeilemakerSP #scalability: Large-scale message synchronization in challenged networks (NZ, BS, JAP), pp. 481–488.
CASE-2014-ChenLY #distributed #modelling: Sparse particle filtering for modeling space-time dynamics in distributed sensor networks (YC, GL, HY), pp. 626–631.
CASE-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.
CASE-2014-LinHC #gesture #recognition #using: Human hand gesture recognition using a convolution neural network (HIL, MHH, WKC), pp. 1038–1043.
CASE-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.
DAC-2014-AdirGGS #generative #testing #using: Using a High-Level Test Generation Expert System for Testing In-Car Networks (AA, AG, LG, TS), p. 6.
DAC-2014-AxerTED #bound #performance: Exploiting Shaper Context to Improve Performance Bounds of Ethernet AVB Networks (PA, DT, RE, JD), p. 6.
DAC-2014-HuangYST #assessment #grid #power management: Physics-based Electromigration Assessment for Power Grid Networks (XH, TY, VS, SXDT), p. 6.
DAC-2014-HuWTT #hardware #monitoring #security: System-Level Security for Network Processors with Hardware Monitors (KH, TW, TT, RT), p. 6.
DAC-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.
DAC-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.
DAC-2014-RenMRZ #fault tolerance #using: Fault-tolerant Routing for On-chip Network Without Using Virtual Channels (PR, QM, XR, NZ), p. 6.
DAC-2014-ZhuangWLC #distributed #framework #named #simulation: MATEX: A Distributed Framework for Transient Simulation of Power Distribution Networks (HZ, SHW, JHL, CKC), p. 6.
DATE-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.
DATE-2014-BahrebarS #approach: Improving hamiltonian-based routing methods for on-chip networks: A turn model approach (PB, DS), pp. 1–4.
DATE-2014-BaiS: Isochronous networks by construction (YB, KS), pp. 1–6.
DATE-2014-BanagaayaAST #order #reduction: Implicit index-aware model order reduction for RLC/RC networks (NB, GA, WHAS, CT), pp. 1–6.
DATE-2014-CasamassimaFB #power management: Context aware power management for motion-sensing body area network nodes (FC, EF, LB), pp. 1–6.
DATE-2014-Huang14a #manycore #performance #predict: Leveraging on-chip networks for efficient prediction on multicore coherence (LH), pp. 1–4.
DATE-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.
DATE-2014-MaliukM #framework #prototype: An analog non-volatile neural network platform for prototyping RF BIST solutions (DM, YM), pp. 1–6.
DATE-2014-MottaghiRD #framework #named #performance: RETLab: A fast design-automation framework for arbitrary RET networks (MDM, AR, CD), pp. 1–6.
DATE-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.
DATE-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.
DATE-2014-VillenaS #analysis #performance #variability: Efficient analysis of variability impact on interconnect lines and resistor networks (JFV, LMS), pp. 1–6.
DATE-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.
DATE-2014-ZhangAJC #manycore: Thermal management of manycore systems with silicon-photonic networks (TZ, JLA, AJ, AKC), pp. 1–6.
DATE-2014-ZygmontowiczDCP: Making it harder to unlock an LSIB: Honeytraps and misdirection in a P1687 network (AZ, JD, AC, JCP), pp. 1–6.
HPCA-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.
HPCA-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.
HPDC-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.
HPDC-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.
HPDC-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.
OSDI-2014-KimHZHWWS #abstraction #gpu #named #source code: GPUnet: Networking Abstractions for GPU Programs (SK, SH, XZ, YH, AW, EW, MS), pp. 201–216.
PDP-2014-BenzaidSB #protocol: An Enhanced Secure Pairwise Broadcast Time Synchronization Protocol in Wireless Sensor Networks (CB, AS, NB), pp. 569–573.
PDP-2014-DamP #independence #process: Location Independent Routing in Process Network Overlays (MD, KP), pp. 715–724.
PDP-2014-GhazelS #novel: A Novel QoS-Aware Method Based on Resource Control and Management in NGN Networks (CG, LAS), pp. 288–291.
PDP-2014-GogolevM #classification #random: Density Classification in Asynchronous Random Networks with Faulty Nodes (AG, LM), pp. 256–261.
PDP-2014-Hadim #communication #concurrent #multi #performance: The Multi-level Communication: Minimal Deadlock-Free and Storage Efficient Routing for Torus Networks (MBH), pp. 44–51.
PDP-2014-MinarolliF #distributed #resource management #virtual machine: Distributed Resource Allocation to Virtual Machines via Artificial Neural Networks (DM, BF), pp. 490–499.
PDP-2014-ShalabyRGFK #communication: Hierarchical Network Coding for Collective Communication on HPC Interconnects (AS, MESR, VG, IF, MK), pp. 98–102.
PDP-2014-ZlydarevaMMOO #clustering: Event-Oriented Focal Weight-Based Clustering for Environmental Wireless Sensor Networks (OZ, BFM, WGM, JJO, GMPO), pp. 170–173.
ESOP-2014-Garnock-JonesTF: The Network as a Language Construct (TGJ, STH, MF), pp. 473–492.
FASE-2014-FiadeiroL: Heterogeneous and Asynchronous Networks of Timed Systems (JLF, AL), pp. 79–93.
FoSSaCS-2014-BertrandFS #configuration management #game studies: Playing with Probabilities in Reconfigurable Broadcast Networks (NB, PF, AS), pp. 134–148.
STOC-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.
STOC-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.
TACAS-2014-HerreraWP #query #reduction: Quasi-Equal Clock Reduction: More Networks, More Queries (CH, BW, AP), pp. 295–309.
WRLA-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.
CAV-2014-HuangFMMK #automaton #hybrid #invariant #verification: Invariant Verification of Nonlinear Hybrid Automata Networks of Cardiac Cells (ZH, CF, AM, SM, MZK), pp. 373–390.
ISSTA-2014-GotliebM #named #reduction #testing: FLOWER: optimal test suite reduction as a network maximum flow (AG, DM), pp. 171–180.
VMCAI-2014-AcunaAMS #approach #complexity #heuristic #modelling: Modeling Parsimonious Putative Regulatory Networks: Complexity and Heuristic Approach (VA, AA, AM, AS), pp. 322–336.
HT-2013-HelicSGS #distributed #modelling #navigation: Models of human navigation in information networks based on decentralized search (DH, MS, MG, RS), pp. 89–98.
HT-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.
HT-2013-KangL #information management #social: Structural and cognitive bottlenecks to information access in social networks (JHK, KL), pp. 51–59.
ICDAR-2013-AlvaroSB #classification #hybrid #online: Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks (FA, JAS, JMB), pp. 1012–1016.
ICDAR-2013-BlucheNK #feature model #recognition #word: Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition (TB, HN, CK), pp. 285–289.
ICDAR-2013-BreuelUAS #using: High-Performance OCR for Printed English and Fraktur Using LSTM Networks (TMB, AUH, MIAAA, FS), pp. 683–687.
ICDAR-2013-NalisnickB #sentiment: Extracting Sentiment Networks from Shakespeare’s Plays (ETN, HSB), pp. 758–762.
ICDAR-2013-PuriST #learning: Bayesian Network Structure Learning and Inference Methods for Handwriting (MP, SNS, YT), pp. 1320–1324.
ICDAR-2013-SchambachR #learning #sequence: Stabilize Sequence Learning with Recurrent Neural Networks by Forced Alignment (MPS, SFR), pp. 1270–1274.
ICDAR-2013-Ul-HasanARSB #bidirectional #recognition: Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks (AUH, SBA, SFR, FS, TMB), pp. 1061–1065.
JCDL-2013-SuboticRS #distributed: A distributed archival network for process-oriented autonomic long-term digital preservation (IS, LR, HS), pp. 29–38.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2013-KhuranaD #named #scalability: HiNGE: enabling temporal network analytics at scale (UK, AD), pp. 1089–1092.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2013-VianaM #named #realtime #social: FriendRouter: real-time path finder in social networks (WV, MMM), pp. 1281–1282.
SIGMOD-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.
TPDL-2013-ReinandaUSR: Entity Network Extraction Based on Association Finding and Relation Extraction (RR, MU, FS, MdR), pp. 156–167.
VLDB-2013-GionisJLSW #social: Piggybacking on Social Networks (AG, FJ, VL, MS, IW), pp. 409–420.
VLDB-2013-HendawiBM #framework #named #predict #query #scalability: iRoad: A Framework For Scalable Predictive Query Processing On Road Networks (AMH, JB, MFM), pp. 1262–1265.
VLDB-2013-HuangCLQY #scalability: Top-K Structural Diversity Search in Large Networks (XH, HC, RHL, LQ, JXY), pp. 1618–1629.
VLDB-2013-MokbelS #data transformation #perspective #social: Mobility and Social Networking: A Data Management Perspective (MFM, MS), pp. 1196–1197.
VLDB-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.
ITiCSE-2013-FeasterAZH #algorithm #education #protocol: Serious toys II: teaching networks, protocols, and algorithms (YF, FA, JZ, JOH), pp. 273–278.
ITiCSE-2013-QianYGBT #authentication #learning #mobile #security: Mobile device based authentic learning for computer network and security (KQ, MY, MG, PB, LT), p. 335.
ITiCSE-2013-TrabelsiA #education #generative #using: Using network packet generators and snort rules for teaching denial of service attacks (ZT, LA), pp. 285–290.
CSMR-2013-BorgPR: Analyzing Networks of Issue Reports (MB, DP, PR), pp. 79–88.
CSMR-2013-SurianTLCL #predict: Predicting Project Outcome Leveraging Socio-Technical Network Patterns (DS, YT, DL, HC, EPL), pp. 47–56.
CSMR-2013-ThungBLJ #git #social: Network Structure of Social Coding in GitHub (FT, TFB, DL, LJ), pp. 323–326.
MSR-2013-MacLeanK #commit #dataset #social: Apache commits: social network dataset (ACM, CDK), pp. 135–138.
MSR-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.
ICALP-v2-2013-HenzingerKN #maintenance: Sublinear-Time Maintenance of Breadth-First Spanning Tree in Partially Dynamic Networks (MH, SK, DN), pp. 607–619.
ICALP-v2-2013-JurdzinskiKS #distributed: Distributed Deterministic Broadcasting in Wireless Networks of Weak Devices (TJ, DRK, GS), pp. 632–644.
ICALP-v2-2013-Kleinberg #algorithm #social: Algorithms, Networks, and Social Phenomena (JMK), pp. 1–3.
ICALP-v2-2013-MertziosMCS #constraints #optimisation: Temporal Network Optimization Subject to Connectivity Constraints (GBM, OM, IC, PGS), pp. 657–668.
ICALP-v2-2013-MertziosS #bound #evolution: Strong Bounds for Evolution in Networks (GBM, PGS), pp. 669–680.
LATA-2013-DelzannoT #complexity #decidability #verification: Decidability and Complexity Results for Verification of Asynchronous Broadcast Networks (GD, RT), pp. 238–249.
CIG-2013-Brown #graph #multi #search-based: Examination of graphs in Multiple Agent Genetic Networks for Iterated Prisoner's Dilemma (JAB), pp. 1–8.
CIG-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.
DiGRA-2013-StokesWFW #collaboration #game studies: A Reality Game to Cross Disciplines: Fostering Networks and Collaboration (BS, JW, TF, SW).
FDG-2013-KoutnikCSG #evolution #scalability: Evolving large-scale neural networks for vision-based TORCS (JK, GC, JS, FJG), pp. 206–212.
FDG-2013-RyanSVC #education #game studies #security #using: Network Nightmares: Using games to teach networks and security (WR, JS, DV, JC), pp. 413–416.
CHI-2013-BernsteinBBK #social: Quantifying the invisible audience in social networks (MSB, EB, MB, BK), pp. 21–30.
CHI-2013-BrownMR #interactive #multi #named: MultiNet: reducing interaction overhead in domestic wireless networks (AB, RM, TR), pp. 1569–1578.
CHI-2013-CurmiFSW13a #named #social: HeartLink: open broadcast of live biometric data to social networks (FC, MAF, JS, JW), pp. 1749–1758.
CHI-2013-DunneS #clique #readability #visualisation: Motif simplification: improving network visualization readability with fan, connector, and clique glyphs (CD, BS), pp. 3247–3256.
CHI-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.
CHI-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.
CHI-2013-HowleyN #community: Factors impacting community response in an interest-sharing network (IH, TN), pp. 2283–2286.
CHI-2013-ShiXC #bound #social #using: Using contextual integrity to examine interpersonal information boundary on social network sites (PS, HX, YC), pp. 35–38.
CHI-2013-SpiliotopoulosO #comprehension #facebook #metric #privacy: Understanding motivations for facebook use: usage metrics, network structure, and privacy (TS, IO), pp. 3287–3296.
CSCW-2013-BradyZMB #social: Investigating the appropriateness of social network question asking as a resource for blind users (ELB, YZ, MRM, JPB), pp. 1225–1236.
CSCW-2013-BurtMB: Path dependent network advantage (RSB, JLM, JGB), pp. 1–2.
CSCW-2013-GaoHZ #how #social: Closure vs. structural holes: how social network information and culture affect choice of collaborators (GG, PJH, CZ), pp. 5–18.
CSCW-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.
CSCW-2013-Heck #social: Combining social information for academic networking (TH), pp. 1387–1398.
CSCW-2013-LinF #learning: Opportunities via extended networks for teens’ informal learning (PL, SDF), pp. 1341–1352.
CSCW-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.
DUXU-CXC-2013-Said #social #using: Young Egyptians Use of Social Networks and the January 2011 Revolution (GRES), pp. 38–43.
DUXU-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.
DUXU-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.
DUXU-PMT-2013-KarahasanovicF #2d #approach #behaviour #experience #modelling: Modelling User Behaviour and Experience — The R2D2 Networks Approach (AK, AF), pp. 506–515.
DUXU-PMT-2013-Moallem: Location, Location, Location: About Home Networking Devices Location and Features (AM), pp. 107–114.
DUXU-WM-2013-Gould: Dot, Line, Network: Helping Individuals Make Sense of “New Data” (EWG), pp. 496–505.
DUXU-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.
HCI-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.
HCI-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.
HCI-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.
HCI-IMT-2013-HenschenL #design #interface: A Web-Based Interface for a System That Designs Sensor Networks (LJH, JCL), pp. 688–697.
HCI-UC-2013-BelliniBNP #recommendation: A Static and Dynamic Recommendations System for Best Practice Networks (PB, IB, PN, MP), pp. 259–268.
HCI-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.
HCI-UC-2013-HayashiKO #empirical #social #trust: An Empirical Investigation of Similarity-Driven Trust Dynamics in a Social Network (YH, VVK, HO), pp. 20–28.
HCI-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.
HCI-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.
HCI-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.
HIMI-D-2013-Maeshiro #multi: A Model of Living Organisms to Integrate Multiple Relationship Network Descriptions (TM), pp. 475–483.
HIMI-D-2013-YanagimotoSY #classification #estimation #sentiment #using #word: Word Classification for Sentiment Polarity Estimation Using Neural Network (HY, MS, AY), pp. 669–677.
HIMI-HSM-2013-ByerD #mobile: BARMOTIN- A Voice Controlled Mobile Tourism Information Network for Barbados (DB, CD), pp. 347–354.
HIMI-HSM-2013-ChenHCK #design #social #usability: Usability Study of Icon Designs with Social Network Functions (CHC, WHH, SCC, YYK), pp. 355–362.
HIMI-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.
OCSC-2013-AdlerA #social: The Influence of Social Networking Sites on Participation in the 2012 Presidential Election (RFA, WDA), pp. 233–239.
OCSC-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.
OCSC-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.
OCSC-2013-Eustace #learning: Building and Sustaining a Lifelong Adult Learning Network (KE), pp. 260–268.
OCSC-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.
OCSC-2013-JiangB #approach #case study #multi #social: A Three-Level Approach to the Study of Multi-cultural Social Networking (YJ, OdB), pp. 365–374.
OCSC-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.
OCSC-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.
OCSC-2013-Meiselwitz #assessment #policy #readability #social: Readability Assessment of Policies and Procedures of Social Networking Sites (GM), pp. 67–75.
OCSC-2013-ShiYH #comprehension #matter #motivation #social: Understanding Social Network Sites (SNSs) Preferences: Personality, Motivation, and Happiness Matters (YS, XY, JH), pp. 94–103.
OCSC-2013-WangA #social #using: Adult Learners and Their Use of Social Networking Sites (Y(W, JA), pp. 222–229.
OCSC-2013-YueSC #social: Who Are Seeking Friends? The Portrait of Stranger-Seeker in Social Network Sites (XY, YS, HC), pp. 120–125.
CAiSE-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.
EDOC-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.
ICEIS-v1-2013-BarbosaCRM #estimation: Average Speed Estimation for Road Networks based on GPS Raw Trajectories (IB, MAC, CR, JAFdM), pp. 490–497.
ICEIS-v1-2013-CoelhoAABB #industrial: Deploying Nodes for Industrial Wireless Networks by Artificial Immune Systems Techniques (PHGC, JLMdA, JFMdA, LFdAB, AVdB), pp. 536–540.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2013-NascimentoVCS #ontology #social: Agent-based Electronic Commerce with Ontology Services and Social Network based Support (VN, MJV, AC, NS), pp. 497–504.
ICEIS-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.
ICEIS-v3-2013-MalekanA #collaboration #modelling #process: Business Process Modeling Languages Supporting Collaborative Networks (HSM, HA), pp. 258–266.
ICEIS-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.
CIKM-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.
CIKM-2013-ArifuzzamanKM #algorithm #named #parallel: PATRIC: a parallel algorithm for counting triangles in massive networks (SA, MK, MVM), pp. 529–538.
CIKM-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.
CIKM-2013-BogdanovS #effectiveness #nearest neighbour #scalability: Accurate and scalable nearest neighbors in large networks based on effective importance (PB, AKS), pp. 1009–1018.
CIKM-2013-ChenCC #query: Spatial-temporal query homogeneity for KNN object search on road networks (YJC, KTC, MSC), pp. 1019–1028.
CIKM-2013-FerenceYL #recommendation #social: Location recommendation for out-of-town users in location-based social networks (GF, MY, WCL), pp. 721–726.
CIKM-2013-GuoZZCG #personalisation #social: Personalized influence maximization on social networks (JG, PZ, CZ, YC, LG), pp. 199–208.
CIKM-2013-HashemiNB #approach #learning #retrieval #topic: Expertise retrieval in bibliographic network: a topic dominance learning approach (SHH, MN, HB), pp. 1117–1126.
CIKM-2013-KongZY #multi #social: Inferring anchor links across multiple heterogeneous social networks (XK, JZ, PSY), pp. 179–188.
CIKM-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.
CIKM-2013-McDowellA #classification: Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks (LM, DWA), pp. 847–852.
CIKM-2013-MengK: Discovering influential authors in heterogeneous academic networks by a co-ranking method (QM, PJK), pp. 1029–1036.
CIKM-2013-MirylenkaP #navigation #topic #wiki: Navigating the topical structure of academic search results via the Wikipedia category network (DM, AP), pp. 891–896.
CIKM-2013-MishraRT #predict #process: Estimating the relative utility of networks for predicting user activities (NM, DMR, PT), pp. 1047–1056.
CIKM-2013-RongM #social: Diffusion of innovations revisited: from social network to innovation network (XR, QM), pp. 499–508.
CIKM-2013-TanGC0Z #detection #named #social: UNIK: unsupervised social network spam detection (ET, LG, SC, XZ, YEZ), pp. 479–488.
CIKM-2013-WangYLZH #summary #topic #word: Content coverage maximization on word networks for hierarchical topic summarization (CW, XY, YL, CZ, JH), pp. 249–258.
CIKM-2013-ZhangDDC #probability #social: Probabilistic solutions of influence propagation on social networks (MZ, CD, CHQD, EC), pp. 429–438.
CIKM-2013-ZhaoLHCH #recommendation #social: Community-based user recommendation in uni-directional social networks (GZ, MLL, WH, WC, HH), pp. 189–198.
CIKM-2013-ZhongLTZ #named #performance: G-tree: an efficient index for KNN search on road networks (RZ, GL, KLT, LZ), pp. 39–48.
CIKM-2013-ZhuZPWZY #predict #process #social: Predicting user activity level in social networks (YZ, EZ, SJP, XW, MZ, QY), pp. 159–168.
ECIR-2013-ChenC #analysis #multi #topic #using: A Topic Person Multi-polarization Method Using Friendship Network Analysis (ZYC, CCC), pp. 688–692.
ECIR-2013-Franco-SalvadorGR #detection #multi #semantics #using: Cross-Language Plagiarism Detection Using a Multilingual Semantic Network (MFS, PG, PR), pp. 710–713.
ECIR-2013-HegdePH #online #semantics #social: Semantic Tagging of Places Based on User Interest Profiles from Online Social Networks (VH, JXP, MH), pp. 218–229.
ECIR-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.
ECIR-2013-NeshatiAHB #classification #social: A Joint Classification Method to Integrate Scientific and Social Networks (MN, EA, DH, HB), pp. 122–133.
ICML-c1-2013-AnandkumarHJK #learning #linear: Learning Linear Bayesian Networks with Latent Variables (AA, DH, AJ, SK), pp. 249–257.
ICML-c1-2013-HeaukulaniG #modelling #probability #social: Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks (CH, ZG), pp. 275–283.
ICML-c3-2013-GensD #learning: Learning the Structure of Sum-Product Networks (RG, PMD), pp. 873–880.
ICML-c3-2013-GoodfellowWMCB: Maxout Networks (IJG, DWF, MM, ACC, YB), pp. 1319–1327.
ICML-c3-2013-HerlauMS #evolution #modelling #multi: Modeling Temporal Evolution and Multiscale Structure in Networks (TH, MM, MNS), pp. 960–968.
ICML-c3-2013-KolarLX #estimation #markov #multi: Markov Network Estimation From Multi-attribute Data (MK, HL, EPX), pp. 73–81.
ICML-c3-2013-PascanuMB #on the: On the difficulty of training recurrent neural networks (RP, TM, YB), pp. 1310–1318.
ICML-c3-2013-PeharzTP #generative: The Most Generative Maximum Margin Bayesian Networks (RP, ST, FP), pp. 235–243.
ICML-c3-2013-WanZZLF #using: Regularization of Neural Networks using DropConnect (LW, MDZ, SZ, YL, RF), pp. 1058–1066.
KDD-2013-AbrahaoCKP #complexity: Trace complexity of network inference (BDA, FC, RK, AP), pp. 491–499.
KDD-2013-BeiCDHQ #fault #social: Trial and error in influential social networks (XB, NC, LD, XH, RQ), pp. 1016–1024.
KDD-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.
KDD-2013-CuiJYWZY #approach #data-driven #predict: Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDD-2013-DavidsonGCW #analysis: Network discovery via constrained tensor analysis of fMRI data (IND, SG, OTC, PBW), pp. 194–202.
KDD-2013-ErdosIBT: Repetition-aware content placement in navigational networks (DE, VI, AB, ET), pp. 820–828.
KDD-2013-GetoorM13a: Network sampling (LG, AM), p. 1528.
KDD-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.
KDD-2013-KuoYHKL #predict #social #statistics #using: Unsupervised link prediction using aggregative statistics on heterogeneous social networks (TTK, RY, YYH, PHK, SDL), pp. 775–783.
KDD-2013-RanuHS #mining: Mining discriminative subgraphs from global-state networks (SR, MXH, AKS), pp. 509–517.
KDD-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.
KDD-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.
KDD-2013-TangWS #confluence #named #scalability #social: Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
KDD-2013-UganderKBK #clustering #graph #multi: Graph cluster randomization: network exposure to multiple universes (JU, BK, LB, JMK), pp. 329–337.
KDD-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.
KDD-2013-YangHLC #online #probability #social: Maximizing acceptance probability for active friending in online social networks (DNY, HJH, WCL, WC), pp. 713–721.
KDD-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.
KDD-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.
KDD-2013-ZhaoWYLZ #social: Inferring social roles and statuses in social networks (YZ, GW, PSY, SL, SZ), pp. 695–703.
KDD-2013-ZhongFZY #modelling #social: Modeling the dynamics of composite social networks (EZ, WF, YZ, QY), pp. 937–945.
KDD-2013-ZhouL #clustering #social: Social influence based clustering of heterogeneous information networks (YZ, LL), pp. 338–346.
KDIR-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.
KEOD-2013-CholewaACR #integration #modelling #multimodal: Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration (WC, MA, PC, TR), pp. 140–147.
MLDM-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.
MLDM-2013-LiM #community #mining #topic: Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
MLDM-2013-Suthaharan #big data #classification: A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion (SS), pp. 296–310.
RecSys-2013-BartelD #evolution #social: Evolving friend lists in social networks (JWB, PD), pp. 435–438.
RecSys-2013-BugaychenkoD #personalisation #recommendation #social: Musical recommendations and personalization in a social network (DB, AD), pp. 367–370.
RecSys-2013-Ester #recommendation #social: Recommendation in social networks (ME), pp. 491–492.
RecSys-2013-GaoTHL #recommendation #social: Exploring temporal effects for location recommendation on location-based social networks (HG, JT, XH, HL), pp. 93–100.
RecSys-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.
RecSys-2013-TiroshiBKCK #predict #social: Cross social networks interests predictions based ongraph features (AT, SB, MAK, TC, TK), pp. 319–322.
RecSys-2013-YuRSSKGNH #feedback #recommendation: Recommendation in heterogeneous information networks with implicit user feedback (XY, XR, YS, BS, UK, QG, BN, JH), pp. 347–350.
SEKE-2013-GomesPMFNO #comprehension #education #profiling #social: Group Profiling for Understanding Educational Social Networking (JG, RBCP, LM, AAF, ACAN, HO), pp. 101–106.
SEKE-2013-HansenM #analysis #ecosystem #towards: Towards a Network Ecology of Software Ecosystems: an Analysis of two OSGi Ecosystems (KMH, KM), pp. 326–331.
SEKE-2013-ShamsHK #estimation #using: Software Effort Estimation using Regularized Radial Basis Function Neural Networks (KMS, HSH, AK), pp. 473–478.
SEKE-2013-ThommazoOORWF #detection #traceability: Detecting traceability links through neural networks (ADT, TRdO, GO, RR, VW, SF), pp. 36–41.
SEKE-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.
SIGIR-2013-AslayOAJ: Competition-based networks for expert finding (ÇA, NO, LMA, AJ), pp. 1033–1036.
SIGIR-2013-ChaBHC #analysis #modelling #social #topic: Incorporating popularity in topic models for social network analysis (YC, BB, CCH, JC), pp. 223–232.
SIGIR-2013-ZhangWYW #learning #predict: Learning latent friendship propagation networks with interest awareness for link prediction (JZ, CW, PSY, JW), pp. 63–72.
SKY-2013-ExmanK #anti #recommendation #social: An Anti-Turing Test: Social Network Friends’ Recommendations (IE, AK), pp. 55–61.
ECMFA-2013-Ritter: A Network-Centric BPMN Model for Business Network Management (DR), pp. 152–164.
ICMT-2013-VarroD #algorithm #incremental #pattern matching: A Rete Network Construction Algorithm for Incremental Pattern Matching (GV, FD), pp. 125–140.
MoDELS-2013-PerezGCCC #analysis #modelling #policy #security: Model-Driven Extraction and Analysis of Network Security Policies (SMP, JGA, FC, NCB, JC), pp. 52–68.
SPLC-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.
PLDI-2013-GuhaRF: Machine-verified network controllers (AG, MR, NF), pp. 483–494.
SAS-2013-LammichMSW #automaton: Contextual Locking for Dynamic Pushdown Networks (PL, MMO, HS, AW), pp. 477–498.
RE-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.
REFSQ-2013-BencomoB #adaptation #modelling #self: Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks (NB, AB), pp. 221–236.
ICSE-2013-Ell #developer #identification: Identifying failure inducing developer pairs within developer networks (JE), pp. 1471–1473.
ICSE-2013-TamburriLV #community #development: Service networks for development communities (DAT, PL, HvV), pp. 1253–1256.
ICSE-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.
SAC-2013-AhmedE #trust: Discovering influential nodes from trust network (SA, CIE), pp. 121–128.
SAC-2013-BraunMS: Service-centric networking extensions (TB, AM, VAS), pp. 583–590.
SAC-2013-CataldiMA #social: Estimating domain-based user influence in social networks (MC, NM, MAA), pp. 1957–1962.
SAC-2013-ChoCC #ad hoc #mobile #trust: Composite trust-based public key management in mobile ad hoc networks (JHC, KSC, IRC), pp. 1949–1956.
SAC-2013-CostaBM #detection #social: Detecting tip spam in location-based social networks (HC, FB, LHdCM), pp. 724–729.
SAC-2013-FazioR #comparison: Spatial interpolation: an analytical comparison between kriging and RBF networks (VSF, MR), pp. 2–7.
SAC-2013-FlushingC #optimisation: A flow-based optimization model for throughput-oriented relay node placement in wireless sensor networks (EFF, GADC), pp. 632–639.
SAC-2013-FurtadoC #hybrid #middleware: Sensor streams middleware for easy configuration and processing in hybrid sensor network (PF, JC), pp. 1499–1504.
SAC-2013-GoncalvesEPSKS #distributed #on the: On the load balancing of virtual networks in distributed clouds (GEG, PTE, AVdAP, MAS, JK, DS), pp. 625–631.
SAC-2013-HoangLCMC #protocol: A backward-compatible protocol for inter-routing over heterogeneous overlay networks (GNH, LL, VC, PM, HNC), pp. 649–651.
SAC-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.
SAC-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.
SAC-2013-KuptsovNGL #metric #novel: A novel demand-aware fairness metric for IEEE 802.11 wireless networks (DK, BN, AG, AL), pp. 603–610.
SAC-2013-LyleNIF #web: Extending the web to support personal network services (JL, CN, AI, SF), pp. 711–716.
SAC-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.
SAC-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.
SAC-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.
SAC-2013-OliveiraBMNBGB #multi: DoS-resilient virtual networks through multipath embedding and opportunistic recovery (RRO, LRB, DSM, MCN, LSB, LPG, MPB), pp. 597–602.
SAC-2013-RieckerBH #detection #energy #lightweight: Lightweight energy consumption based intrusion detection system for wireless sensor networks (MR, SB, MH), pp. 1784–1791.
SAC-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.
GPCE-2013-ChapinSSW #named #programming #staged: Scalaness/nesT: type specialized staged programming for sensor networks (PCC, CS, SFS, MW), pp. 135–144.
CASE-2013-DotoliEFPST #realtime: A real time traffic management model for regional railway networks under disturbances (MD, NE, MF, AP, FS, BT), pp. 892–897.
CASE-2013-GrosbardKTR #composition #using: A queuing network model for wafer fabrication using decomposition without aggregation (DG, AK, IT, GR), pp. 717–722.
CASE-2013-LaSC #mobile: Cooperative and active sensing in mobile sensor networks for scalar field mapping (HML, WS, JC), pp. 831–836.
CASE-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.
CASE-2013-MaHS #grid #smarttech: Transmission power allocation for cooperative relay-based neighborhood area networks for smart grid (KM, GH, CJS), pp. 599–604.
CASE-2013-VallamSNNN #locality: Topologies of stable strategic networks with localized payoffs (RDV, CAS, YN, RN, SN), pp. 844–849.
CASE-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.
DAC-2013-ChandrikakuttyUTW #hardware #monitoring: High-performance hardware monitors to protect network processors from data plane attacks (HC, DU, RT, TW), p. 6.
DAC-2013-Miskov-ZivanovMF #analysis #automation #behaviour #design: Dynamic behavior of cell signaling networks: model design and analysis automation (NMZ, DM, JRF), p. 6.
DAC-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.
DAC-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.
DAC-2013-ZhangRJ #towards: Towards trustworthy medical devices and body area networks (MZ, AR, NKJ), p. 6.
DATE-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.
DATE-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.
DATE-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.
DATE-2013-DiazSSR #analysis #performance #security #simulation: Wireless sensor network simulation for security and performance analysis (AD, PS, JS, JR), pp. 432–435.
DATE-2013-HankMVK: Automotive ethernet: in-vehicle networking and smart mobility (PH, SM, OV, JVdK), pp. 1735–1739.
DATE-2013-HsiehWH #configuration management #distributed #named: DANCE: distributed application-aware node configuration engine in shared reconfigurable sensor networks (CMH, ZW, JH), pp. 839–842.
DATE-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.
DATE-2013-MuradoreQF #predict: Model predictive control over delay-based differentiated services control networks (RM, DQ, PF), pp. 1117–1122.
DATE-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.
DATE-2013-ShreejithVFL #approach #configuration management #using: An approach for redundancy in FlexRay networks using FPGA partial reconfiguration (SS, KV, SAF, ML), pp. 721–724.
DATE-2013-SparsoKS #interface: An area-efficient network interface for a TDM-based network-on-chip (JS, EK, MS), pp. 1044–1047.
DATE-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.
DATE-2013-YaoKLMK #named #physics: ClockPUF: physical unclonable functions based on clock networks (YY, MK, JL, ILM, FK), pp. 422–427.
DATE-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.
HPCA-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.
HPDC-2013-CostaDOR #3d #clustering #named #stack: CamCubeOS: a key-based network stack for 3D torus cluster topologies (PC, AD, GO, AITR), pp. 73–84.
PDP-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.
PDP-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.
PDP-2013-FurnoZ #composition #performance: Efficient Cooperative Discovery of Service Compositions in Unstructured P2P Networks (AF, EZ), pp. 58–67.
PDP-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.
PDP-2013-KotenkoSN #framework #simulation: Simulation of Protection Mechanisms Based on “Nervous Network System” against Infrastructure Attacks (IVK, AS, EN), pp. 526–533.
PDP-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.
PDP-2013-StrakovaG #distributed: A Distributed Eigensolver for Loosely Coupled Networks (HS, WNG), pp. 51–57.
PDP-2013-YebenesEGQ #modelling #towards: Towards Modeling Interconnection Networks of Exascale Systems with OMNet++ (PY, JES, PJG, FJQ), pp. 203–207.
CAV-2013-ClaessenFIPW #model checking #reachability #set: Model-Checking Signal Transduction Networks through Decreasing Reachability Sets (KC, JF, SI, NP, QW), pp. 85–100.
CAV-2013-PauleveAK #approximate #automaton #reachability #scalability #set: Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks (LP, GA, HK), pp. 69–84.
CAV-2013-SosnovichGN #protocol #security #using: Finding Security Vulnerabilities in a Network Protocol Using Parameterized Systems (AS, OG, GN), pp. 724–739.
ICLP-J-2013-KaminskiSSV #logic: Minimal intervention strategies in logical signaling networks with ASP (RK, TS, AS, SV), pp. 675–690.
VMCAI-2013-JohnNN #predict: Knockout Prediction for Reaction Networks with Partial Kinetic Information (MJ, MN, JN), pp. 355–374.
VMCAI-2013-NamjoshiT #process #symmetry: Uncovering Symmetries in Irregular Process Networks (KSN, RJT), pp. 496–514.
VMCAI-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.
CBSE-2012-PopPOMB #co-evolution #component: Property networks allowing oracle-based mode-change propagation in hierarchical components (TP, FP, MO, MM, TB), pp. 93–102.
HT-2012-ChairunnandaFD #graph #modelling #online #social: Graph data partition models for online social networks (PC, SF, KD), pp. 175–180.
HT-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.
HT-2012-DinhNT #effectiveness #question #social: Cheap, easy, and massively effective viral marketing in social networks: truth or fiction? (TND, DTN, MTT), pp. 165–174.
HT-2012-FahlHMS #named #social: TrustSplit: usable confidentiality for social network messaging (SF, MH, TM, MS), pp. 145–154.
HT-2012-KlienS #analysis: Short links under attack: geographical analysis of spam in a URL shortener network (FK, MS), pp. 83–88.
HT-2012-KunegisSSF #online: Diversity dynamics in online networks (JK, SS, FS, DF), pp. 255–264.
HT-2012-Leskovec #navigation: Human navigation in networks (JL), pp. 143–144.
HT-2012-LipczakSJ #comprehension #online #social: Understanding and leveraging tag-based relations in on-line social networks (ML, BS, AJ), pp. 229–238.
HT-2012-ShenSNT #online #social #trust: Maximizing circle of trust in online social networks (YS, YSS, DTN, MTT), pp. 155–164.
HT-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.
JCDL-2012-AkbarSF #deduction #education #library #social: Deduced social networks for an educational digital library (MA, CAS, EAF), pp. 43–46.
JCDL-2012-DengHLK #modelling #ranking: Modeling and exploiting heterogeneous bibliographic networks for expertise ranking (HD, JH, MRL, IK), pp. 71–80.
JCDL-2012-SoulierJTB #named: BibRank: a language-based model for co-ranking entities in bibliographic networks (LS, LBJ, LT, WB), pp. 61–70.
JCDL-2012-TuarobMG #algorithm #using: Improving algorithm search using the algorithm co-citation network (ST, PM, CLG), pp. 277–280.
SIGMOD-2012-BarbosaMLO #named #recommendation #visualisation #web: VRRC: web based tool for visualization and recommendation on co-authorship network (EMB, MMM, GRL, JPMdO), p. 865.
SIGMOD-2012-ManiuC #collaboration #named #performance #personalisation: Taagle: efficient, personalized search in collaborative tagging networks (SM, BC), pp. 661–664.
SIGMOD-2012-MongioviBRSPF #mining #named: SigSpot: mining significant anomalous regions from time-evolving networks (MM, PB, RR, AKS, EEP, CF), p. 865.
SIGMOD-2012-SarwatBELMM #named #social: Sindbad: a location-based social networking system (MS, JB, AE, JJL, AM, MFM), pp. 649–652.
SIGMOD-2012-Vahdat #data transformation: Symbiosis in scale out networking and data management (AV), pp. 579–580.
VLDB-2012-AbbadiM #in the cloud #social: Social Networks and Mobility in the Cloud (AEA, MFM), pp. 2034–2035.
VLDB-2012-LiWC #multi #profiling #social: Multiple Location Profiling for Users and Relationships from Social Network and Content (RL, SW, KCCC), pp. 1603–1614.
VLDB-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.
VLDB-2012-SunAH #clustering: Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (YS, CCA, JH), pp. 394–405.
VLDB-2012-SunHYY #analysis #approach #mining: Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.
VLDB-2012-WangC #composition: Truss Decomposition in Massive Networks (JW, JC), pp. 812–823.
VLDB-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.
VLDB-2013-ZhaoT12 #analysis #scalability #social #visual notation: Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis (FZ, AKHT), pp. 85–96.
ITiCSE-2012-MehtaKP #algorithm #learning: Forming project groups while learning about matching and network flows in algorithms (DPM, TMK, IP), pp. 40–45.
ITiCSE-2012-XuHT #framework #named #platform: V-lab: a cloud-based virtual laboratory platform for hands-on networking courses (LX, DH, WTT), pp. 256–261.
ICSM-2012-ChaikalisMC #analysis #evolution #named: SEANets: Software evolution analysis with networks (TC, GM, AC), pp. 634–637.
WCRE-2012-SteidlHJ #analysis #recommendation #using: Using Network Analysis for Recommendation of Central Software Classes (DS, BH, EJ), pp. 93–102.
DLT-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.
ICALP-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.
ICALP-v2-2012-BhawalkarKLRS #problem #social: Preventing Unraveling in Social Networks: The Anchored k-Core Problem (KB, JMK, KL, TR, AS), pp. 440–451.
ICALP-v2-2012-ChandranGO #fault tolerance: Edge Fault Tolerance on Sparse Networks (NC, JAG, RO), pp. 452–463.
ICALP-v2-2012-DieudonneP: Deterministic Network Exploration by Anonymous Silent Agents with Local Traffic Reports (YD, AP), pp. 500–512.
ICALP-v2-2012-JainMNS #migration #virtual machine: Topology-Aware VM Migration in Bandwidth Oversubscribed Datacenter Networks (NJ, IM, JN, FBS), pp. 586–597.
ICALP-v2-2012-OchelRV #capacity #online: Online Packing with Gradually Improving Capacity Estimations and Applications to Network Lifetime Maximization (MO, KR, BV), pp. 648–659.
ICALP-v2-2012-PelegRT #algorithm #distributed: Distributed Algorithms for Network Diameter and Girth (DP, LR, ET), pp. 660–672.
IFM-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.
IFM-2012-KazemeyniJOB #analysis #modelling #probability: MULE-Based Wireless Sensor Networks: Probabilistic Modeling and Quantitative Analysis (FK, EBJ, OO, IB), pp. 143–157.
IFM-2012-WoehrleBM #anti: Mechanized Extraction of Topology Anti-patterns in Wireless Networks (MW, RB, MRM), pp. 158–173.
CIG-2012-AthanasiadisGT: Progressive neural network training for the Open Racing Car Simulator (CA, DG, AT), pp. 116–123.
CIG-2012-Cussat-BlancSD: Controlling cooperative and conflicting continuous actions with a Gene Regulatory Network (SCB, SS, YD), pp. 187–194.
FDG-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.
VS-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.
CHI-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.
CHI-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.
CHI-2012-DunneRLMR #multi #named #scalability: GraphTrail: analyzing large multivariate, heterogeneous networks while supporting exploration history (CD, NHR, BL, RAM, GGR), pp. 1663–1672.
CHI-2012-Gilbert #design #social: Designing social translucence over social networks (EG), pp. 2731–2740.
CHI-2012-WoelferH #people #social: Homeless young people on social network sites (JPW, DGH), pp. 2825–2834.
CSCW-2012-GogginsMM #coordination #online: Relief work after the 2010 Haiti earthquake: leadership in an online resource coordination network (SPG, CMM, SM), pp. 57–66.
CSCW-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.
CSCW-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.
CSCW-2012-NicholsK #social: Asking questions of targeted strangers on social networks (JN, JHK), pp. 999–1002.
CSCW-2012-PanovichMK #social: Tie strength in question & answer on social network sites (KP, RM, DRK), pp. 1057–1066.
CSCW-2012-StollEF: Between us and them: building connectedness within civic networks (JS, WKE, KAF), pp. 237–240.
CAiSE-2012-Razo-ZapataLGA #fuzzy #verification: Fuzzy Verification of Service Value Networks (ISRZ, PDL, JG, HA), pp. 95–110.
CAiSE-2012-ZawawyKMM #analysis #logic #markov #using: Requirements-Driven Root Cause Analysis Using Markov Logic Networks (HZ, KK, JM, SM), pp. 350–365.
EDOC-2012-ZhouXDL #difference: Complicated Logistics Network Redesign Considering Service Differentiation (LZ, XX, SD, XL), pp. 93–102.
ICEIS-v1-2012-CoelhoAA #industrial: Node Positioning — Application for Wireless Networks Industrial Plants (PHGC, JLMdA, JFMdA), pp. 291–294.
ICEIS-v1-2012-KlinkmullerMLF #automation #comparison #towards: Towards Automated Logistics Service Comparison — Decision Support for Logistics Network Management (CK, SM, AL, BF), pp. 259–264.
ICEIS-v1-2012-NikovskiEYST #automation #composition: Bayesian Networks for Matcher Composition in Automatic Schema Matching (DN, AE, XY, MS, ST), pp. 48–55.
ICEIS-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.
CIKM-2012-Baeza-YatesL #exclamation #matter: User engagement: the network effect matters! (RABY, ML), pp. 1–2.
CIKM-2012-ChiangWD #clustering #normalisation #scalability #using: Scalable clustering of signed networks using balance normalized cut (KYC, JJW, ISD), pp. 615–624.
CIKM-2012-DhiaAS #named #privacy #social: Primates: a privacy management system for social networks (IBD, TA, MS), pp. 2746–2748.
CIKM-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.
CIKM-2012-DurakPKS #graph #modelling: Degree relations of triangles in real-world networks and graph models (ND, AP, TGK, CS), pp. 1712–1716.
CIKM-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.
CIKM-2012-GargKL #rating #social: Information propagation in social rating networks (PG, IK, MRL), pp. 2279–2282.
CIKM-2012-HuangNHT #predict #social #trust: Trust prediction via aggregating heterogeneous social networks (JH, FN, HH, YCT), pp. 1774–1778.
CIKM-2012-JiaZH #simulation: Non-stationary bayesian networks based on perfect simulation (YJ, WZ, JH), pp. 1095–1104.
CIKM-2012-KashyapAH #named #personalisation #social: SonetRank: leveraging social networks to personalize search (AK, RA, VH), pp. 2045–2049.
CIKM-2012-KongYDW #classification: Meta path-based collective classification in heterogeneous information networks (XK, PSY, YD, DJW), pp. 1567–1571.
CIKM-2012-KootiMGC #online #predict #social: Predicting emerging social conventions in online social networks (FK, WAM, PKG, MC), pp. 445–454.
CIKM-2012-LiS #process #social: Composing activity groups in social networks (CTL, MKS), pp. 2375–2378.
CIKM-2012-LiSG #exclamation #online #social: Collective intelligence in the online social network of yahoo!answers and its implications (ZL, HS, JEG), pp. 455–464.
CIKM-2012-LiWXCS #query #social: Spatial-aware interest group queries in location-based social networks (YL, DW, JX, BC, WS), pp. 2643–2646.
CIKM-2012-LiYHCS #mvc #robust: Measuring robustness of complex networks under MVC attack (RHL, JXY, XH, HC, ZS), pp. 1512–1516.
CIKM-2012-LuWZR: Unsupervised discovery of opposing opinion networks from forum discussions (YL, HW, CZ, DR), pp. 1642–1646.
CIKM-2012-MoroN #named #semantics: WiSeNet: building a wikipedia-based semantic network with ontologized relations (AM, RN), pp. 1672–1676.
CIKM-2012-ShenDZT #multi #online #social: Interest-matching information propagation in multiple online social networks (YS, TND, HZ, MTT), pp. 1824–1828.
CIKM-2012-SongKNCXB #social: Discretionary social network data revelation with a user-centric utility guarantee (YS, PK, SN, GC, MX, SB), pp. 1572–1576.
CIKM-2012-WangHTH #topic: Author-conference topic-connection model for academic network search (JW, XH, XT, TH), pp. 2179–2183.
CIKM-2012-WangHY #similarity: Influence and similarity on heterogeneous networks (GW, QH, PSY), pp. 1462–1466.
CIKM-2012-WangZCM #retrieval #using: Top-k retrieval using conditional preference networks (HW, XZ, WC, PM), pp. 2075–2079.
CIKM-2012-XueKRKP #random #social: Delineating social network data anonymization via random edge perturbation (MX, PK, CR, PK, HKP), pp. 475–484.
CIKM-2012-YangLCYH #on the #social: On bundle configuration for viral marketing in social networks (DNY, WCL, NHC, MY, HJH), pp. 2234–2238.
CIKM-2012-YangTKZLDLW #learning #mining: Mining competitive relationships by learning across heterogeneous networks (YY, JT, JK, YZ, JL, YD, TL, LW), pp. 1432–1441.
CIKM-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.
CIKM-2012-ZhangS0CB #social: Evaluating geo-social influence in location-based social networks (CZ, LS, KC, GC, YB), pp. 1442–1451.
ECIR-2012-BosmaMW #detection #framework #social: A Framework for Unsupervised Spam Detection in Social Networking Sites (MB, EM, WW), pp. 364–375.
ECIR-2012-DevezasCNR: Studying a Personality Coreference Network in a News Stories Photo Collection (JLD, FC, SN, CR), pp. 485–488.
ICML-2012-BorboudakisT #constraints #graph #information management: Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs (GB, IT), p. 59.
ICML-2012-Gomez-RodriguezS: Influence Maximization in Continuous Time Diffusion Networks (MGR, BS), p. 78.
ICML-2012-Gomez-RodriguezS12a #multi: Submodular Inference of Diffusion Networks from Multiple Trees (MGR, BS), p. 206.
ICML-2012-McAfeeO #code generation #static analysis: Utilizing Static Analysis and Code Generation to Accelerate Neural Networks (LCM, KO), p. 192.
ICML-2012-PallaKG #infinity: An Infinite Latent Attribute Model for Network Data (KP, DAK, ZG), p. 55.
ICML-2012-PeharzP #learning: Exact Maximum Margin Structure Learning of Bayesian Networks (RP, FP), p. 102.
ICML-2012-SarkarCJ #parametricity #predict: Nonparametric Link Prediction in Dynamic Networks (PS, DC, MIJ), p. 246.
ICML-2012-TangSH12a: Deep Lambertian Networks (YT, RS, GEH), p. 184.
ICML-2012-WilsonKG #process: Gaussian Process Regression Networks (AGW, DAK, ZG), p. 149.
ICML-2012-YuSL #speech #using: Conversational Speech Transcription Using Context-Dependent Deep Neural Networks (DY, FS, GL), p. 1.
ICPR-2012-AntoniukFH #learning #markov: Learning Markov Networks by Analytic Center Cutting Plane Method (KA, VF, VH), pp. 2250–2253.
ICPR-2012-BurgessKA #locality: Node localization in unsynchronized time of arrival sensor networks (SB, YK, KÅ), pp. 2042–2046.
ICPR-2012-ChenYZZ #bound #detection: Detecting occlusion boundaries via saliency network (DC, ZY, GZ, NZ), pp. 2569–2572.
ICPR-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.
ICPR-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.
ICPR-2012-KafaiBA #classification #clustering #estimation: Cluster-Classification Bayesian Networks for head pose estimation (MK, BB, LA), pp. 2869–2872.
ICPR-2012-PorwalZG #recognition #using: Handwritten Arabic text recognition using Deep Belief Networks (UP, YZ, VG), pp. 302–305.
ICPR-2012-RaymondMOH #markov: Map matching with Hidden Markov Model on sampled road network (RR, TM, TO, NH), pp. 2242–2245.
ICPR-2012-SankaranJ #recognition #using: Recognition of printed Devanagari text using BLSTM Neural Network (NS, CVJ), pp. 322–325.
ICPR-2012-SermanetCL #classification: Convolutional neural networks applied to house numbers digit classification (PS, SC, YL), pp. 3288–3291.
ICPR-2012-TakalaP #dataset #identification #named #people: CMV100: A dataset for people tracking and re-identification in sparse camera networks (VT, MP), pp. 1387–1390.
ICPR-2012-TangS #independence #learning #performance #testing #using: Efficient and accurate learning of Bayesian networks using chi-squared independence tests (YT, SNS), pp. 2723–2726.
ICPR-2012-WangJ #recognition: Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition (XW, QJ), pp. 3378–3381.
ICPR-2012-WangJ12b #learning #process #recognition: Learning dynamic Bayesian network discriminatively for human activity recognition (XW, QJ), pp. 3553–3556.
ICPR-2012-WangWCN #recognition: End-to-end text recognition with convolutional neural networks (TW, DJW, AC, AYN), pp. 3304–3308.
ICPR-2012-WuFH0N #recognition: Cascaded heterogeneous convolutional neural networks for handwritten digit recognition (CW, WF, YH, JS, SN), pp. 657–660.
ICPR-2012-YilmazYK #multimodal #process: Non-linear weighted averaging for multimodal information fusion by employing Analytical Network Process (TY, AY, MK), pp. 234–237.
ICPR-2012-ZhaoXY #learning #speech: Unsupervised Tibetan speech features Learning based on Dynamic Bayesian Networks (YZ, XX, GY), pp. 2319–2322.
KDD-2012-BeutelPRF #question: Interacting viruses in networks: can both survive? (AB, BAP, RR, CF), pp. 426–434.
KDD-2012-Chen #information management #social: Information processing in social networks (MSC), p. 1403.
KDD-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.
KDD-2012-GiatsidisBTV #collaboration #graph #visual notation: Visual exploration of collaboration networks based on graph degeneracy (CG, KB, DMT, MV), pp. 1512–1515.
KDD-2012-Han #mining: Mining heterogeneous information networks: the next frontier (JH), pp. 2–3.
KDD-2012-HossainBBR: Storytelling in entity networks to support intelligence analysts (MSH, PB, APB, NR), pp. 1375–1383.
KDD-2012-HsiehCD #modelling #rank: Low rank modeling of signed networks (CJH, KYC, ISD), pp. 507–515.
KDD-2012-Li12c #similarity: Similarity search in real world networks (CL), p. 1405.
KDD-2012-LiuHTLMH #online #social: Event-based social networks: linking the online and offline social worlds (XL, QH, YT, WCL, JM, JH), pp. 1032–1040.
KDD-2012-MajumderDN #problem #social: Capacitated team formation problem on social networks (AM, SD, KVMN), pp. 1005–1013.
KDD-2012-MyersZL #information management: Information diffusion and external influence in networks (SAM, CZ, JL), pp. 33–41.
KDD-2012-OhKPY #realtime #semantics: PubMed search and exploration with real-time semantic network construction (JO, TK, SP, HY), pp. 1572–1575.
KDD-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.
KDD-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.
KDD-2012-Posse #lessons learnt #recommendation #scalability #social: Key lessons learned building recommender systems for large-scale social networks (CP), p. 587.
KDD-2012-Saez-TrumperCABB: Finding trendsetters in information networks (DST, GC, VAFA, RABY, FB), pp. 1014–1022.
KDD-2012-ShiZKYLW #named #recommendation #semantics: HeteRecom: a semantic-based recommendation systemin heterogeneous networks (CS, CZ, XK, PSY, GL, BW), pp. 1552–1555.
KDD-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.
KDD-2012-WangZSY #community #identification #social: Magnet community identification on social networks (GW, YZ, XS, PSY), pp. 588–596.
KDD-2012-YangSL #online #recommendation #social: Circle-based recommendation in online social networks (XY, HS, YL), pp. 1267–1275.
KDD-2012-YangSLC #on the #query #social: On socio-spatial group query for location-based social networks (DNY, CYS, WCL, MSC), pp. 949–957.
KDD-2012-YuSZH #semantics: Query-driven discovery of semantically similar substructures in heterogeneous networks (XY, YS, PZ, JH), pp. 1500–1503.
KDD-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.
KDD-2012-ZhongFWXL #adaptation #behaviour #named #social: ComSoc: adaptive transfer of user behaviors over composite social network (EZ, WF, JW, LX, YL), pp. 696–704.
KDIR-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.
KDIR-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.
KDIR-2012-CheungZZ #approach: A Bayesian Approach for Constructing Ensemble Neural Network (SHC, YZ, ZZ), pp. 374–377.
KDIR-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.
KDIR-2012-HavaSK #classification #documentation #semantics: Contextual Latent Semantic Networks used for Document Classification (OH, MS, PK), pp. 425–430.
KDIR-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.
KDIR-2012-LuongHGH #recommendation #social: Exploiting Social Networks for Publication Venue Recommendations (HPL, TH, SG, KH), pp. 239–245.
KDIR-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.
KDIR-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.
KDIR-2012-TakesK #traversal: The Difficulty of Path Traversal in Information Networks (FWT, WAK), pp. 138–144.
KDIR-2012-UddinAH #analysis #social: New Directions in the Analysis of Social Network Dynamics (MSU, SRA, LH), pp. 269–274.
KDIR-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.
KEOD-2012-TserpesPKPASV #ontology #social: An Ontology for Social Networking Sites Interoperability (KT, GP, MK, AP, FA, ES, TAV), pp. 245–250.
KMIS-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.
KMIS-2012-KataokaTKH #information management: An Information Sharing Method for Skilled Management Operations based on Bayesian Network Inference (TK, KT, MK, MH), pp. 257–260.
KMIS-2012-LageA #coordination #information management #perspective: Factors Influencing Information Sharing in Four SME Networks in Portugal — A Coordination Perspective (EL, BA), pp. 178–183.
MLDM-2012-BouhamedMLR #heuristic #learning: A New Learning Structure Heuristic of Bayesian Networks from Data (HB, AM, TL, AR), pp. 183–197.
MLDM-2012-Herrera-YagueZ #predict: Prediction of Telephone User Attributes Based on Network Neighborhood Information (CHY, PJZ), pp. 645–659.
MLDM-2012-MacchiaCM #mining #modelling #ranking: Mining Ranking Models from Dynamic Network Data (LM, MC, DM), pp. 566–577.
MLDM-2012-Thombre #classification: Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques (AT), pp. 132–140.
RecSys-2012-AminYSBP #delivery #recommendation #social: Social referral: leveraging network connections to deliver recommendations (MSA, BY, SS, AB, CP), pp. 273–276.
RecSys-2012-StrickrothP #community #quality #recommendation: High quality recommendations for small communities: the case of a regional parent network (SS, NP), pp. 107–114.
RecSys-2012-YangSGL #on the #recommendation #social #using: On top-k recommendation using social networks (XY, HS, YG, YL), pp. 67–74.
SEKE-2012-DoranCG #api #how #privacy #social: How Social Network APIs Have Ended the Age of Privacy (DD, SC, SSG), pp. 400–405.
SEKE-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.
SEKE-2012-LiRPY #fuzzy #modelling #multi #optimisation: Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling (KL, MR, WP, JY), pp. 106–111.
SEKE-2012-PittoliSN #monitoring #using: Investigating the Use of Bayesian Networks as a Support Tool for Monitoring Software Projects (FP, ALRdS, DJN), pp. 570–573.
SEKE-2012-RadulovicG #process #recommendation #semantics: Semantic Technology Recommendation Based on the Analytic Network Process (FR, RGC), pp. 611–616.
SEKE-2012-WangXC #linear #mining #social: Sparse Linear Influence Model for Hot User Selection on Mining a Social Network (YW, GX, SKC), pp. 1–6.
SIGIR-2012-ChenLYYN #social #web: Finding web appearances of social network users via latent factor model (KC, ZL, XY, YY, ZN), pp. 1077–1078.
SIGIR-2012-Gao #social: Opinion influence and diffusion in social network (DG), p. 997.
SIGIR-2012-YangSLZC #predict #social: Friend or frenemy?: predicting signed ties in social networks (SHY, AJS, BL, HZ, YC), pp. 555–564.
SIGIR-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.
OOPSLA-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.
TOOLS-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.
PADL-2012-LooGLMMSWZ #declarative: Recent Advances in Declarative Networking (BTL, HG, CL, YM, WRM, MS, AW, WZ), pp. 1–16.
POPL-2012-MonsantoFHW #compilation #programming language #runtime: A compiler and run-time system for network programming languages (CM, NF, RH, DW), pp. 217–230.
POPL-2012-Rexford #programmable #programming language: Programming languages for programmable networks (JR), pp. 215–216.
QAPL-2012-BortolussiGH #hybrid #modelling #performance: Hybrid performance modelling of opportunistic networks (LB, VG, JH), pp. 106–121.
ICSE-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.
ICSE-2012-ChatzigeorgiouM #evolution #object-oriented #roadmap: Trends in object-oriented software evolution: Investigating network properties (AC, GM), pp. 1309–1312.
ICSE-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.
ICSE-2012-Tamburri #agile: Going global with agile service networks (DAT), pp. 1475–1478.
SAC-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.
SAC-2012-ChenGZG #metric #similarity #using: Discovering missing links in networks using vertex similarity measures (HHC, LG, X(Z, CLG), pp. 138–143.
SAC-2012-DayehH #biology #using: Analyzing incomplete biological pathways using network motifs (MED, MH), pp. 1355–1360.
SAC-2012-GuccioneCAMM #clustering: Trend cluster based interpolation everywhere in a sensor network (PG, AC, AA, DM, AM), pp. 827–828.
SAC-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.
SAC-2012-HuH: A density-aware routing scheme in delay tolerant networks (CLH, BJH), pp. 563–568.
SAC-2012-JabeurTB #microblog #retrieval #twitter: Uprising microblogs: a bayesian network retrieval model for tweet search (LBJ, LT, MB), pp. 943–948.
SAC-2012-MoraisC #ad hoc #detection #distributed: A distributed intrusion detection scheme for wireless ad hoc networks (ANPM, ARC), pp. 556–562.
SAC-2012-NunesCM #learning #similarity #social: Resolving user identities over social networks through supervised learning and rich similarity features (AN, PC, BM), pp. 728–729.
SAC-2012-RahmanA #authentication #named #protocol #robust: DRAP: a Robust Authentication protocol to ensure survivability of computational RFID networks (FR, SIA), pp. 498–503.
SAC-2012-SioutasPKT #named #probability #query: SART: dynamic P2P query processing in sensor networks with probabilistic guarantees (SS, AP, IK, DT), pp. 847–852.
SAC-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.
SAC-2012-TeymooriKY #fault tolerance #realtime: A real-time data aggregation method for fault-tolerant wireless sensor networks (PT, MK, NY), pp. 605–612.
CASE-2012-HN #approach #multi #social: Influence limitation in multi-campaign social networks: A Shapley value based approach (PRH, YN), pp. 735–740.
CASE-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.
CASE-2012-SuhYO #algorithm #locality #mobile: A cooperative localization algorithm for mobile sensor networks (JS, SY, SO), pp. 1126–1131.
CASE-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.
CASE-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.
DAC-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.
DAC-2012-EberlGTA #automation #design: Considering diagnosis functionality during automatic system-level design of automotive networks (ME, MG, JT, UA), pp. 205–213.
DAC-2012-KuangBK #manycore #optimisation: Traffic-aware power optimization for network applications on multicore servers (JK, LNB, RK), pp. 1006–1011.
DAC-2012-LiuH #scalability #simulation: Dynamic river network simulation at large scale (FL, BRH), pp. 723–728.
DAC-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.
DAC-2012-SharadAPR: Cognitive computing with spin-based neural networks (MS, CA, GP, KR), pp. 1262–1263.
DAC-2012-ZuluagaMP #generative #sorting #streaming: Computer generation of streaming sorting networks (MZ, PAM, MP), pp. 1245–1253.
DATE-2012-AksanliRM #energy: Benefits of green energy and proportionality in high speed wide area networks connecting data centers (BA, TSR, IM), pp. 175–180.
DATE-2012-DimitrakopoulosK #metaprogramming #multi: Dynamic-priority arbiter and multiplexer soft macros for on-chip networks switches (GD, EK), pp. 542–545.
DATE-2012-EbrahimiDLPT #algorithm: CATRA- congestion aware trapezoid-based routing algorithm for on-chip networks (ME, MD, PL, JP, HT), pp. 320–325.
DATE-2012-HammamiLB #named #verification: NOCEVE: Network on chip emulation and verification environment (OH, XL, JMB), pp. 163–164.
DATE-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.
DATE-2012-MiryalaCMP #analysis: IR-drop analysis of graphene-based power distribution networks (SM, AC, EM, MP), pp. 81–86.
DATE-2012-MuradoreQF #predict: Predictive control of networked control systems over differentiated services lossy networks (RM, DQ, PF), pp. 1245–1250.
DATE-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.
DATE-2012-RoxEG #analysis #design #using: Using timing analysis for the design of future switched based Ethernet automotive networks (JR, RE, PG), pp. 57–62.
DATE-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.
HPCA-2012-AhnCK #approach #architecture #scalability: Network within a network approach to create a scalable high-radix router microarchitecture (JHA, SC, JK), pp. 455–466.
HPCA-2012-JiangBMD: Network congestion avoidance through Speculative Reservation (NJ, DUB, GM, WJD), pp. 443–454.
HPDC-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.
OSDI-2012-HanMCR #interface #named #programming #scalability: MegaPipe: A New Programming Interface for Scalable Network I/O (SH, SM, BGC, SR), pp. 135–148.
PDP-2012-BaumannS #analysis #markov #modelling #security: Markovian Modeling and Security Measure Analysis for Networks under Flooding DoS Attacks (HB, WS), pp. 298–302.
PDP-2012-DumitrescuA #clustering: Clustering Superpeers in P2P Networks by Growing Neural Gas (MD, RA), pp. 311–318.
PDP-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.
PDP-2012-GoncalvesVASNC: Characterizing Dynamic Properties of the SopCast Overlay Network (KCG, ABV, JMA, APCdS, HTMN, SVAC), pp. 319–326.
PDP-2012-HamedaniHSJ #3d #constraints: Exploration of Temperature Constraints for Thermal Aware Mapping of 3D Networks on Chip (PKH, SH, HSA, NDEJ), pp. 499–506.
PDP-2012-KamelY #distributed: A Distributed E2E Recovery Mechanism for MPLS Networks (AEK, HY), pp. 245–249.
PDP-2012-ZhangZXW #persistent: An Optimized Degree Strategy for Persistent Sensor Network Data Distribution (WZ, QZ, XX, JW), pp. 130–137.
PPoPP-2012-GongHZ #in the cloud #overview #performance: An overview of CMPI: network performance aware MPI in the cloud (YG, BH, JZ), pp. 297–298.
ESOP-2012-FehnkerGHMPT #algebra #process: A Process Algebra for Wireless Mesh Networks (AF, RJvG, PH, AM, MP, WLT), pp. 295–315.
STOC-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.
STOC-2012-ChanP #analysis #bound #fourier: Tight bounds for monotone switching networks via fourier analysis (SMC, AP), pp. 495–504.
STOC-2012-GoyalK: Competitive contagion in networks (SG, MK), pp. 759–774.
TACAS-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.
CAV-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.
ICST-2012-Woehrle #protocol #search-based #testing: Search-Based Stress Testing of Wireless Network Protocol Stacks (MW), pp. 794–803.
ECSA-2011-TamburriL #agile #communication #development: Supporting Communication and Cooperation in Global Software Development with Agile Service Networks (DAT, PL), pp. 236–243.
DocEng-2011-BalinskyBS #automation #summary: Automatic text summarization and small-world networks (HB, AB, SJS), pp. 175–184.
DocEng-2011-ChidlovskiiB #learning #metric #recommendation #social: Local metric learning for tag recommendation in social networks (BC, AB), pp. 205–208.
DocEng-2011-Pimentel #social: Documenting social networks (MdGCP), pp. 277–280.
HT-2011-Contractor #multi #using #web: From disasters to WOW: using web science to understand and enable 21st century multidimensional networks (NSC), pp. 1–2.
HT-2011-GoedeMNW #social #summary #using: Succinct summaries of narrative events using social networks (BdG, MM, AN, JvW), pp. 299–304.
HT-2011-Massa #social #wiki: Social networks of Wikipedia (PM), pp. 221–230.
HT-2011-SimkoTB #game studies: Little search game: term network acquisition via a human computation game (JS, MT, MB), pp. 57–62.
ICDAR-2011-CiresanMGS #classification: Convolutional Neural Network Committees for Handwritten Character Classification (DCC, UM, LMG, JS), pp. 1135–1139.
ICDAR-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.
ICDAR-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.
ICDAR-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.
ICDAR-2011-JainFJM #documentation #retrieval #word: BLSTM Neural Network Based Word Retrieval for Hindi Documents (RJ, VF, CVJ, RM), pp. 83–87.
ICDAR-2011-SaldarriagaC #online #using #word: Indexing On-line Handwritten Texts Using Word Confusion Networks (SPS, MC), pp. 197–201.
JCDL-2011-SanchezCRNLB #collaboration #library #using #visualisation: Visualizing collaboration networks implicit in digital libraries using OntoStarFish (JAS, OC, AR, MAMN, JCL, EB), pp. 213–222.
JCDL-2011-VeldenHL: Resolving author name homonymy to improve resolution of structures in co-author networks (TV, AuH, CL), pp. 241–250.
PODS-2011-AmelootNB #declarative #relational #transducer: Relational transducers for declarative networking (TJA, FN, JVdB), pp. 283–292.
SIGMOD-2011-HayLMPT #data transformation #privacy: Privacy-aware data management in information networks (MH, KL, GM, JP, ET), pp. 1201–1204.
SIGMOD-2011-HuangWYL #algorithm: Sampling based algorithms for quantile computation in sensor networks (ZH, LW, KY, YL), pp. 745–756.
SIGMOD-2011-KhanLYGCT #graph #performance #scalability: Neighborhood based fast graph search in large networks (AK, NL, XY, ZG, SC, ST), pp. 901–912.
SIGMOD-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.
SIGMOD-2011-ZhaoLXH #graph #multi: Graph cube: on warehousing and OLAP multidimensional networks (PZ, XL, DX, JH), pp. 853–864.
TPDL-2011-LarsonJ #social: Connecting Archival Collections: The Social Networks and Archival Context Project (RRL, KJ), pp. 3–14.
VLDB-2011-AgrawalBA #information management #social: Information Diffusion In Social Networks: Observing and Influencing Societal Interests (DA, CB, AEA), pp. 1512–1513.
VLDB-2011-BudakAA #analysis #online #social: Structural Trend Analysis for Online Social Networks (CB, DA, AEA), pp. 646–656.
VLDB-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.
VLDB-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.
VLDB-2011-SunHYYW #named #similarity: PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks (YS, JH, XY, PSY, TW), pp. 992–1003.
VLDB-2011-YanZN #algorithm #performance: Efficient Algorithms for Finding Optimal Meeting Point on Road Networks (DY, ZZ, WN), pp. 968–979.
VLDB-2011-ZhuQLYHY #mining #scalability: Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.
ITiCSE-2011-CarruthersMPS #social: Draw a social network (SC, TM, TP, US), pp. 178–182.
ITiCSE-2011-WahbaFH #student: A technology-assisted scavenger hunt for introducing K-12 students to sensor networks (SKW, YF, JOH), pp. 73–77.
SIGITE-2011-BassiouniG #development #education #research #security: Enhancing network security education with research and development content (MAB, RG), pp. 293–298.
SIGITE-2011-Cosgrove #learning #low cost: Bringing together a low-cost networking learning environment (SRC), pp. 101–106.
SIGITE-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.
ICSM-2011-HongKCB #comprehension #developer #evolution #social: Understanding a developer social network and its evolution (QH, SK, SCC, CB), pp. 323–332.
WCRE-2011-AntunesNV #protocol #reverse engineering: Reverse Engineering of Protocols from Network Traces (JA, NFN, PV), pp. 169–178.
WCRE-2011-SurianLLTLF #collaboration #developer #people #recommendation: Recommending People in Developers’ Collaboration Network (DS, NL, DL, HT, EPL, CF), pp. 379–388.
CIAA-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.
AFL-2011-ManeaT: Accepting Networks of Evolutionary Processors with Subregular Filters (FM, BT), pp. 300–314.
DLT-2011-Manea: Deciding Networks of Evolutionary Processors (FM), pp. 337–349.
ICALP-v1-2011-AdamaszekCLW #approximate #design #geometry: Approximation Schemes for Capacitated Geometric Network Design (AA, AC, AL, JOW), pp. 25–36.
ICALP-v2-2011-ChanN #convergence #performance: Fast Convergence for Consensus in Dynamic Networks (THHC, LN), pp. 514–525.
ICALP-v2-2011-ChlebusKPR #ad hoc #communication #distributed #performance: Efficient Distributed Communication in Ad-Hoc Radio Networks (BSC, DRK, AP, MAR), pp. 613–624.
ICALP-v2-2011-Hoefer #social: Local Matching Dynamics in Social Networks (MH), pp. 113–124.
LATA-2011-DassowMT: Networks of Evolutionary Processors with Subregular Filters (JD, FM, BT), pp. 262–273.
ICFP-2011-FosterHFMRSW #named #programming language: Frenetic: a network programming language (NF, RH, MJF, CM, JR, AS, DW), pp. 279–291.
AIIDE-2011-FujitaIM #detection #using: Detecting Real Money Traders in MMORPG by Using Trading Network (AF, HI, HM).
AIIDE-2011-HaRML #adaptation #game studies #logic #markov #recognition: Goal Recognition with Markov Logic Networks for Player-Adaptive Games (EH, JPR, BWM, JCL).
CIG-2011-SchrumM #evolution #game studies #multimodal: Evolving multimodal networks for multitask games (JS, RM), pp. 102–109.
DiGRA-2011-KrogerDQ #analysis #game studies #industrial: The game boy's network. A network analysis of the German digital games industry (SK, ED, TQ).
DiGRA-2011-Meurs #game studies #social: And Then You Wait: The Issue of Dead Time in Social Network Games (RvM).
VS-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.
CHI-2011-AmershiLKMC #named #performance: CueT: human-guided fast and accurate network alarm triage (SA, BL, AK, RM, BC), pp. 157–166.
CHI-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.
CHI-2011-ChettyHBOSG #internet #why: Why is my internet slow?: making network speeds visible (MC, DH, AB, UO, BS, REG), pp. 1889–1898.
CHI-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.
CHI-2011-LampinenLLT #social: We’re in it together: interpersonal management of disclosure in social network services (AL, VL, AL, ST), pp. 3217–3226.
CHI-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.
CSCW-2011-GutwinLG #performance #realtime #testing: Real-time groupware in the browser: testing the performance of web-based networking (CG, ML, TCNG), pp. 167–176.
CSCW-2011-Kivran-SwaineN #social: Network properties and social sharing of emotions in social awareness streams (FKS, MN), pp. 379–382.
CSCW-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.
CSCW-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.
CSCW-2011-Thom-SantelliMG #social: Organizational acculturation and social networking (JTS, DRM, DG), pp. 313–316.
DUXU-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.
HCD-2011-AhramK #behaviour #design #modelling #social: Social Networking Applications: Smarter Product Design for Complex Human Behaviour Modeling (TZA, WK), pp. 471–480.
HCD-2011-KlineQ #scalability: Attribute Description Service for Large-Scale Networks (DK, JQ), pp. 519–528.
HCI-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.
HCI-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.
HCI-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.
HCI-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.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-v2-2011-RanasingheFC #case study #experience #named #social: Petimo: Sharing Experiences through Physically Extended Social Networking (NR, ONNF, ADC), pp. 66–74.
IDGD-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.
IDGD-2011-DingR #performance: An Investigation on the Relationship between Informal Networks and Organizational Performance (HD, JR), pp. 490–493.
IDGD-2011-GongMC #collaboration #ubiquitous: Mobilized Collaborative Services in Ubiquitous Network (MG, EM, FC), pp. 504–513.
IDGD-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.
IDGD-2011-RigbyD #analysis #design #on the: On the Design of Organizational Network Analysis Software (JR, HD), pp. 550–555.
IDGD-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.
IDGD-2011-ZhouZL #database #evaluation #research #usability: Usability Evaluation Factors Research in Network Database System (EgZ, JZ, BL), pp. 283–290.
OCSC-2011-CarstensG #interface #privacy #question #social: Is Your Social Networking Privacy Reliant on Intuitive Interfaces? (DSC, VG), pp. 309–318.
OCSC-2011-ConnollyM #education #social: Third Agers and Social Networking in Higher Education (CMC, GM), pp. 30–39.
OCSC-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.
OCSC-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.
OCSC-2011-HanCJ #case study #social #visualisation: A Study on Social Network Services Visualization Based on User Needs (YSH, JKC, YGJ), pp. 319–325.
OCSC-2011-HoltzblattD #community #enterprise #online: Measuring the Success of On-line Communities in an Enterprise Networking Tool (LJH, LED), pp. 188–196.
OCSC-2011-ReisBB #personalisation #semantics #social: Beyond the Social Search: Personalizing the Semantic Search in Social Networks (JCdR, RB, MCCB), pp. 345–354.
OCSC-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.
ICEIS-v1-2011-ChengL #anti: An Anti-phishing Model for Ecommerce under a Network Environment (YC, GL), pp. 400–404.
ICEIS-v1-2011-Kim #communication #using: CRL Distribution using an Alternative Communication Media for Vehicular Networks (HK), pp. 217–222.
ICEIS-v1-2011-LiZS #predict: A New Network Traffic Prediction Model in Cognitive Networks (DL, RZ, XS), pp. 427–435.
ICEIS-v1-2011-LuoS #novel: A Novel Service Routing Method in a Service-oriented Network (XL, JS), pp. 560–563.
ICEIS-v1-2011-RafeaSA #clustering #social: Label Oriented Clustering for Social Network Discussion Groups (AR, AEKS, SGA), pp. 205–210.
ICEIS-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.
ICEIS-v1-2011-ShanZ #convergence: Mixed Convergence Pattern for Intelligence Negotiation Support Systems of High-tech Network Organization (ZdS, JlZ), pp. 396–399.
ICEIS-v1-2011-TongSSX: Discipline and Infrastructures of Constructing Service Overlay Network (JT, MS, JS, KX), pp. 571–575.
ICEIS-v1-2011-XiaoZTZC: A New Chinese Public Welfare Operation Mode based on Value Network Model (DX, ZZ, ZT, JZ, FC), pp. 510–514.
ICEIS-v1-2011-ZdravkovicTP #ontology #semantics: Local Ontologies for Semantic Interoperability in Supply Chain Networks (MZ, MT, HP), pp. 22–31.
ICEIS-v1-2011-ZhaoLY #information management: Saturation Model of Network Information Diffusion (JZ, ZL, JY), pp. 412–417.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2011-ZhuXM #assessment #risk management #using: Operational Hazard Risk Assessment using Bayesian Networks (ZJZ, YX, EM), pp. 135–139.
ICEIS-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.
ICEIS-v3-2011-LiuT #case study #evolution: Study on the Evolution Mechanisms of the Network Public Opinion (HL, ZT), pp. 444–448.
ICEIS-v3-2011-TangX #analysis #communication #modelling: Modeling and Analysis of a Power Line Communication Network Subject to Channel Failure (ST, YX), pp. 184–189.
ICEIS-v4-2011-AlmeidaHRCBM #social: Augmenting Accessibility in Social Networks — A Virtual Presenter (LDAA, ECSH, JCdR, PDPC, MCCB, JMDM), pp. 225–234.
ICEIS-v4-2011-HuGK #evaluation #modelling #trust: Supply Chain Trust Evaluation Model based on Bayesian Network (XH, FG, YK), pp. 712–715.
ICEIS-v4-2011-LiL #optimisation: The Optimization of Road Network in Logistics Hub based on Low-carbon Aspect (YL, ML), pp. 666–670.
ICEIS-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.
ICEIS-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.
ICEIS-v4-2011-ShailaVPTVP #named: KCSR: Keymatches Constrained Secure Routing in Heterogeneous Wireless Sensor Networks (KS, GHV, CRP, VT, KRV, LMP), pp. 13–22.
ICEIS-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.
ICEIS-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.
CIKM-2011-AgrawalBA #information management #social #what: Information diffusion in social networks: observing and affecting what society cares about (DA, CB, AEA), pp. 2609–2610.
CIKM-2011-AwadallahRW #comprehension #named #topic: OpinioNetIt: understanding the opinions-people network for politically controversial topics (RA, MR, GW), pp. 2481–2484.
CIKM-2011-BerlingerioCG #community #multi: Finding redundant and complementary communities in multidimensional networks (MB, MC, FG), pp. 2181–2184.
CIKM-2011-BjorklundGGG #keyword #social: Workload-aware indexing for keyword search in social networks (TAB, MG, JG, NG), pp. 535–544.
CIKM-2011-ChangYQZW #scalability: Finding information nebula over large networks (LC, JXY, LQ, YZ, HW), pp. 1465–1474.
CIKM-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.
CIKM-2011-ChiangNTD #predict: Exploiting longer cycles for link prediction in signed networks (KYC, NN, AT, ISD), pp. 1157–1162.
CIKM-2011-GamperBCI #multimodal: Defining isochrones in multimodal spatial networks (JG, MHB, WC, MI), pp. 2381–2384.
CIKM-2011-GuH #feature model #towards: Towards feature selection in network (QG, JH), pp. 1175–1184.
CIKM-2011-KargarA #social: Discovering top-k teams of experts with/without a leader in social networks (MK, AA), pp. 985–994.
CIKM-2011-KarwegHB #evolution #social: Evolving social search based on bookmarks and status messages from social networks (BK, CH, KB), pp. 1825–1834.
CIKM-2011-LiBS #analysis #named #online #social #towards: CASINO: towards conformity-aware social influence analysis in online social networks (HL, SSB, AS), pp. 1007–1012.
CIKM-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.
CIKM-2011-LiSL #people #social: Context-based people search in labeled social networks (CTL, MKS, SDL), pp. 1607–1612.
CIKM-2011-LiuLZD #classification #sentiment: Sentiment classification via l2-norm deep belief network (TL, ML, SZ, XD), pp. 2489–2492.
CIKM-2011-LoSZL #community #mining #trust: Mining direct antagonistic communities in explicit trust networks (DL, DS, KZ, EPL), pp. 1013–1018.
CIKM-2011-SachanCFS #community #probability #social #topic: Probabilistic model for discovering topic based communities in social networks (MS, DC, TAF, LVS), pp. 2349–2352.
CIKM-2011-TakesK: Determining the diameter of small world networks (FWT, WAK), pp. 1191–1196.
CIKM-2011-TangWLMP #privacy: Privacy preserving indexing for eHealth information networks (YT, TW, LL, SM, BP), pp. 905–914.
CIKM-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.
CIKM-2011-WangLF: Connecting users with similar interests via tag network inference (XW, HL, WF), pp. 1019–1024.
ICML-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.
ICML-2011-DoshiWTR #infinity: Infinite Dynamic Bayesian Networks (FD, DW, JBT, NR), pp. 913–920.
ICML-2011-Gomez-RodriguezBS: Uncovering the Temporal Dynamics of Diffusion Networks (MGR, DB, BS), pp. 561–568.
ICML-2011-MartensS #learning #optimisation: Learning Recurrent Neural Networks with Hessian-Free Optimization (JM, IS), pp. 1033–1040.
ICML-2011-SocherLNM #natural language #parsing #recursion: Parsing Natural Scenes and Natural Language with Recursive Neural Networks (RS, CCYL, AYN, CDM), pp. 129–136.
ICML-2011-SutskeverMH #generative: Generating Text with Recurrent Neural Networks (IS, JM, GEH), pp. 1017–1024.
ICML-2011-VuAHS #modelling: Dynamic Egocentric Models for Citation Networks (DQV, AUA, DRH, PS), pp. 857–864.
KDD-2011-AlqadahB #clustering #framework #game studies: A game theoretic framework for heterogenous information network clustering (FA, RB), pp. 795–804.
KDD-2011-ChoML #social: Friendship and mobility: user movement in location-based social networks (EC, SAM, JL), pp. 1082–1090.
KDD-2011-ChuC: Triangle listing in massive networks and its applications (SC, JC), pp. 672–680.
KDD-2011-DengHZYL #modelling #probability #topic: Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.
KDD-2011-GundechaBL #privacy #social: Exploiting vulnerability to secure user privacy on a social networking site (PG, GB, HL), pp. 511–519.
KDD-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.
KDD-2011-JiangFH #data type #graph #locality: Anomaly localization for network data streams with graph joint sparse PCA (RJ, HF, JH), pp. 886–894.
KDD-2011-JiHD #classification: Ranking-based classification of heterogeneous information networks (MJ, JH, MD), pp. 1298–1306.
KDD-2011-JinLH #axiom #ranking #similarity: Axiomatic ranking of network role similarity (RJ, VEL, HH), pp. 922–930.
KDD-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.
KDD-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.
KDD-2011-MaiyaB #bias #towards: Benefits of bias: towards better characterization of network sampling (ASM, TYBW), pp. 105–113.
KDD-2011-MathioudakisBCGU: Sparsification of influence networks (MM, FB, CC, AG, AU), pp. 529–537.
KDD-2011-MooreYZRL #classification #learning: Active learning for node classification in assortative and disassortative networks (CM, XY, YZ, JBR, TL), pp. 841–849.
KDD-2011-PedarsaniG #on the #privacy: On the privacy of anonymized networks (PP, MG), pp. 1235–1243.
KDD-2011-SatpalBSRS #information management #logic #markov #using #web: Web information extraction using markov logic networks (SS, SB, SS, RR, PS), pp. 1406–1414.
KDD-2011-ScellatoNM #predict #social: Exploiting place features in link prediction on location-based social networks (SS, AN, CM), pp. 1046–1054.
KDD-2011-TaiYYC #privacy #social: Privacy-preserving social network publication against friendship attacks (CHT, PSY, DNY, MSC), pp. 1262–1270.
KDD-2011-TangWGW #social #topic: Topic-level social network search (JT, SW, BG, YW), pp. 769–772.
KDD-2011-TanLTJZL #analysis #sentiment #social: User-level sentiment analysis incorporating social networks (CT, LL, JT, LJ, MZ, PL), pp. 1397–1405.
KDD-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.
KDIR-2011-FangWLG #metric #statistics #wiki: Wikipedia as Domain Knowledge Networks — Domain Extraction and Statistical Measurement (ZF, JW, BL, WG), pp. 159–165.
KDIR-2011-Ibrahim #algorithm #clustering: Enhancing Clustering Network Planning Algorithm in the Presence of Obstacles (LFI), pp. 480–486.
KDIR-2011-Potuzak #algorithm #search-based: Suitability of a Genetic Algorithm for Road Traffic Network Division (TP), pp. 448–451.
KDIR-2011-ZalikZ #algorithm #clustering: Network Clustering by Advanced Label Propagation Algorithm (KRZ, BZ), pp. 444–447.
KEOD-2011-KincelerMT #ontology: An Ontology for a Hydro-meteorological Observation Network (LMK, AMM, JLT), pp. 145–151.
KEOD-2011-PileggiFT #ecosystem #semantics: Enabling Semantic Ecosystems among Heterogeneous Cognitive Networks (SFP, CFL, VT), pp. 487–492.
KMIS-2011-DeparisALM #social: Knowledge Capitalization in an Organization Social Network (ÉD, MHA, GL, JM), pp. 217–222.
KMIS-2011-Grim-YefsahRT11a #process #robust #using: Using Information of an Informal Network to Evaluate Business Process Robustness (MGY, CRS, VTG), pp. 430–435.
KMIS-2011-SaharkhizS #multi #privacy #social: A Method for Preserving Privacy in Published Multi-relational Social Networks (AS, HRS), pp. 341–346.
MLDM-2011-SahaDR #community #detection: Detection of Communities and Bridges in Weighted Networks (TS, CD, HR), pp. 584–598.
RecSys-2011-JamaliHE #probability #rating #recommendation #social: A generalized stochastic block model for recommendation in social rating networks (MJ, TH, ME), pp. 53–60.
RecSys-2011-LopsGSNM #social: Leveraging the linkedin social network data for extracting content-based user profiles (PL, MdG, GS, FN, CM), pp. 293–296.
RecSys-2011-SymeonidisTM #multi #predict #rating #recommendation #social: Product recommendation and rating prediction based on multi-modal social networks (PS, ET, YM), pp. 61–68.
SEKE-2011-AtitallahKSM #generative #information management: Knowledge management in next generation networks (SA, OAK, MS, EM), pp. 363–368.
SEKE-2011-ColaceS #case study: Slow Intelligence System and Network Management: a case study (FC, MDS), pp. 17–24.
SEKE-2011-GuntherNGD #process: Causal Networks Based Process Improvement (DG, RN, KG, RRD), pp. 462–465.
SEKE-2011-SunWG #design #semantics: Semantic Enabled Sensor Network Design (JS, HHW, HG), pp. 179–184.
SIGIR-2011-BelloginCC #analysis #hybrid #recommendation #self #social: Self-adjusting hybrid recommenders based on social network analysis (AB, PC, IC), pp. 1147–1148.
SIGIR-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.
SIGIR-2011-DengZH #modelling #topic: Collective topic modeling for heterogeneous networks (HD, BZ, JH), pp. 1109–1110.
SIGIR-2011-DuGC: Decayed DivRank: capturing relevance, diversity and prestige in information networks (PD, JG, XC), pp. 1239–1240.
SIGIR-2011-LappasPS #mining #social #using: Mining tags using social endorsement networks (TL, KP, TS), pp. 195–204.
SIGIR-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.
SIGIR-2011-Smirnova #social: A model for expert finding in social networks (ES), pp. 1191–1192.
SIGIR-2011-SunDLC #query #semantics #social #visualisation: Visualizing and querying semantic social networks (AS, AD, EPL, KC), pp. 1271–1272.
SIGIR-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.
SIGIR-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.
SIGIR-2011-YangYD #analysis #predict: Award prediction with temporal citation network analysis (ZY, DY, BDD), pp. 1203–1204.
SPLC-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.
PADL-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.
PADL-2011-VoellmyH #named #programming: Nettle: Taking the Sting Out of Programming Network Routers (AV, PH), pp. 235–249.
PPDP-2011-BourdierC #analysis #policy #security #term rewriting #using: Symbolic analysis of network security policies using rewrite systems (TB, HC), pp. 77–88.
ICSE-2011-LimDF #identification #requirements #social #using: StakeSource2.0: using social networks of stakeholders to identify and prioritise requirements (SLL, DD, AF), pp. 1022–1024.
ICSE-2011-MeneelyW #developer #metric #question #trust: Socio-technical developer networks: should we trust our measurements? (AM, LW), pp. 281–290.
SAC-2011-AhnLK #development #embedded #energy: Development of the wireless embedded sensor network for energy-efficient flooding (SA, YL, SK), pp. 621–622.
SAC-2011-BaoCCC #trust: Hierarchical trust management for wireless sensor networks and its application to trust-based routing (FB, IRC, MC, JHC), pp. 1732–1738.
SAC-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.
SAC-2011-FilhoSM #case study #simulation: Policy-driven network simulation: a resilience case study (AESF, PS, AM), pp. 492–497.
SAC-2011-HaBKBJ #analysis #perspective #social: Analyzing a Korean blogosphere: a social network analysis perspective (JH, DHB, SWK, SCB, BSJ), pp. 773–777.
SAC-2011-KanjilalS #database #modelling: Spatial network modeling for databases (VK, MS), pp. 827–832.
SAC-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.
SAC-2011-LimKKP #information management: Construction of a blog network based on information diffusion (SHL, SWK, SK, SP), pp. 937–941.
SAC-2011-LiuCC #query: Voronoi-based range query for trajectory data in spatial networks (SL, LC, GC), pp. 1022–1026.
SAC-2011-RahmanHA #named #reliability: REBIVE: a reliable private data aggregation scheme for wireless sensor networks (FR, MEH, SIA), pp. 439–444.
SAC-2011-SreekumariC #multi: A new TCP mechanism for reducing retransmission timeouts over multi-hop wireless networks (PS, SHC), pp. 498–505.
SAC-2011-SteigerHS #constraints #performance: An efficient generic network flow constraint (RS, WJvH, RS), pp. 893–900.
SAC-2011-TeranishiTH #named: HDOV: an overlay network for wide area spatial data collection (YT, ST, KH), pp. 506–513.
SAC-2011-WangZG #classification #identification: Traffic classification beyond application level: identifying content types from network traces (YW, ZZ, LG), pp. 540–541.
SAC-2011-YeHL #approach #query: A Bayesian network approach to context sensitive query expansion (ZY, XH, HL), pp. 1138–1142.
CASE-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.
CASE-2011-FalconiPB #modelling: Potential field-based microscopic modeling of road networks with heterogeneous vehicular traffic (RF, AP, CB), pp. 226–231.
CASE-2011-KurzKP #maintenance #using: Dynamic Maintenance in semiconductor manufacturing using Bayesian networks (DK, JK, JP), pp. 238–243.
CASE-2011-SchererCC #distributed #linear #modelling: Transfer function modeling of linear dynamic networks for distributed MPC (HFS, EC, AC), pp. 613–618.
DAC-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.
DAC-2011-KernZSNT: Accuracy of ethernet AVB time synchronization under varying temperature conditions for automotive networks (AK, HZ, TS, JN, JT), pp. 597–602.
DAC-2011-KimKY #named #power management: FlexiBuffer: reducing leakage power in on-chip network routers (GK, JK, SY), pp. 936–941.
DAC-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.
DAC-2011-LimVH #challenge #realtime: Challenges in a future IP/ethernet-based in-car network for real-time applications (HTL, LV, DH), pp. 7–12.
DAC-2011-LungSHSC #3d #fault tolerance: Fault-tolerant 3D clock network (CLL, YSS, SHH, YS, SCC), pp. 645–651.
DAC-2011-Stergiou #diagrams #order #permutation: Implicit permutation enumeration networks and binary decision diagrams reordering (SS), pp. 615–620.
DAC-2011-ZhaiNS #adaptation #modelling #process #streaming: Modeling adaptive streaming applications with parameterized polyhedral process networks (JTZ, HN, TS), pp. 116–121.
DAC-2011-ZinnerNGSW: Application and realization of gateways between conventional automotive and IP/ethernet-based networks (HZ, JN, TG, JS, TW), pp. 1–6.
DATE-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.
DATE-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.
DATE-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.
DATE-2011-BeserraMSC #modelling: System-level modeling of a mixed-signal System on Chip for Wireless Sensor Networks (GSB, JEGdM, AMS, JCdC), pp. 1500–1504.
DATE-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.
DATE-2011-ChenLWH #3d #architecture: A new architecture for power network in 3D IC (HTC, HLL, ZCW, TH), pp. 401–406.
DATE-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.
DATE-2011-HealyL #3d #novel: A novel TSV topology for many-tier 3D power-delivery networks (MBH, SKL), pp. 261–264.
DATE-2011-HendryCCB #design #named #specification: VANDAL: A tool for the design specification of nanophotonic networks (GH, JC, LPC, KB), pp. 782–787.
DATE-2011-KakoeeBB #communication #named #reliability: ReliNoC: A reliable network for priority-based on-chip communication (MRK, VB, LB), pp. 667–672.
DATE-2011-KlobedanzK0 #approach #configuration management #fault tolerance: A reconfiguration approach for fault-tolerant FlexRay networks (KK, AK, WM), pp. 82–87.
DATE-2011-LukasiewyczCM #concept #scheduling: FlexRay switch scheduling — A networking concept for electric vehicles (ML, SC, PM), pp. 76–81.
DATE-2011-RahimiLKB #clustering: A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters (AR, IL, MRK, LB), pp. 491–496.
DATE-2011-SchenkelaarsVG #scheduling: Optimal scheduling of switched FlexRay networks (TS, BV, KG), pp. 926–931.
DATE-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.
DATE-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.
DATE-2011-ZhangHCW #grid #power management #reduction: A block-diagonal structured model reduction scheme for power grid networks (ZZ, XH, CKC, NW), pp. 44–49.
DATE-2011-ZhangT #detection #hardware #named: RON: An on-chip ring oscillator network for hardware Trojan detection (XZ, MT), pp. 1638–1643.
HPCA-2011-LiaoZB #architecture: A new server I/O architecture for high speed networks (GL, XZ, LNB), pp. 255–265.
HPCA-2011-LiHL0DTW: Power shifting in Thrifty Interconnection Network (JL, WH, CL, LZ, WED, RRT, KW), pp. 156–167.
HPCA-2011-NittaFA: Addressing system-level trimming issues in on-chip nanophotonic networks (CN, MKF, VA), pp. 122–131.
LCTES-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.
PDP-2011-HabibiAS #algorithm #multi: Multicast-Aware Mapping Algorithm for On-chip Networks (AH, MA, HSA), pp. 455–462.
PDP-2011-Kraxberger #scalability: Scalable Secure Routing for Heterogeneous Unstructured P2P Networks (SK), pp. 619–626.
PDP-2011-MillerW #optimisation #peer-to-peer: Transport Optimization in Peer-to-Peer Networks (KM, AW), pp. 567–573.
PDP-2011-OrtizODP #interface #web: Improving Dynamic Web Servers by Affinity-Based Network Interfaces (AO, JO, AFD, AP), pp. 478–482.
PDP-2011-VerbeekS #algorithm #concurrent #performance #proving: A Fast and Verified Algorithm for Proving Store-and-Forward Networks Deadlock-Free (FV, JS), pp. 3–10.
SOSP-2011-LenersWHAW #detection #distributed: Detecting failures in distributed systems with the Falcon spy network (JBL, HW, WLH, MKA, MW), pp. 279–294.
SOSP-2011-ZhouFNHLS: Secure network provenance (WZ, QF, AN, AH, BTL, MS), pp. 295–310.
FoSSaCS-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.
STOC-2011-DoerrFF #social: Social networks spread rumors in sublogarithmic time (BD, MF, TF), pp. 21–30.
STOC-2011-Haeupler: Analyzing network coding gossip made easy (BH), pp. 293–302.
CAV-2011-GrosuBFGGSB #search-based: From Cardiac Cells to Genetic Regulatory Networks (RG, GB, FHF, JG, CLG, SAS, EB), pp. 396–411.
CSL-2011-BeauxisM #semantics #standard: A Non-Standard Semantics for Kahn Networks in Continuous Time (RB, SM), pp. 35–50.
ICLP-2011-ChristiansenHLP #analysis #sequence: Bayesian Annotation Networks for Complex Sequence Analysis (HC, CTH, OTL, MP), pp. 220–230.
ICLP-J-2011-CattafiGNAF: Optimal placement of valves in a water distribution network with CLP(FD) (MC, MG, MN, SA, MF), pp. 731–747.
ICLP-J-2011-DurzinskyMOSW #automation #re-engineering #using: Automatic network reconstruction using ASP (MD, WM, MO, TS, AW), pp. 749–766.
TAP-2011-TroyaBLV #communication #lightweight #testing: Lightweight Testing of Communication Networks with e-Motions (JT, JMB, FLR, AV), pp. 187–204.
HT-2010-CorletteS #online #predict #scalability #social: Link prediction applied to an open large-scale online social network (DC, FMSI), pp. 135–140.
HT-2010-LeeB #similarity #social: Social networks and interest similarity: the case of CiteULike (DHL, PB), pp. 151–156.
HT-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.
HT-2010-Murata #composition: Modularity for heterogeneous networks (TM), pp. 129–134.
JCDL-2010-GouZCKG #documentation #ranking #social: Social network document ranking (LG, XZ, HHC, JHK, CLG), pp. 313–322.
SIGMOD-2010-ChengFL #morphism #named #privacy: K-isomorphism: privacy preserving network publication against structural attacks (JC, AWCF, JL), pp. 459–470.
SIGMOD-2010-ChengKFYZ #clique: Finding maximal cliques in massive networks by H*-graph (JC, YK, AWCF, JXY, LZ), pp. 447–458.
SIGMOD-2010-GiatrakosKDVT #approximate #named: TACO: tunable approximate computation of outliers in wireless sensor networks (NG, YK, AD, VV, YT), pp. 279–290.
SIGMOD-2010-HanSYY #analysis #approach #database #mining: Mining knowledge from databases: an information network analysis approach (JH, YS, XY, PSY), pp. 1251–1252.
SIGMOD-2010-Kleinberg #online: The flow of on-line information in global networks (JMK), pp. 1–2.
SIGMOD-2010-SternBB #approach #query: Processing continuous join queries in sensor networks: a filtering approach (MS, KB, EB), pp. 267–278.
SIGMOD-2010-XuJ #proximity: Processing proximity relations in road networks (ZX, HAJ), pp. 243–254.
SIGMOD-2010-ZhouSTLLM #maintenance #performance #query: Efficient querying and maintenance of network provenance at internet-scale (WZ, MS, TT, XL, BTL, YM), pp. 615–626.
VLDB-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.
VLDB-2010-MihaylovJIG #multi #optimisation: Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks (SRM, MJ, ZGI, SG), pp. 1279–1290.
VLDB-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.
VLDB-2010-ZhaoH #graph #on the #optimisation #query #scalability: On Graph Query Optimization in Large Networks (PZ, JH), pp. 340–351.
VLDB-2011-RiceT10 #graph #query #strict: Graph Indexing of Road Networks for Shortest Path Queries with Label Restrictions (MNR, VJT), pp. 69–80.
VLDB-2011-YuanCY10 #personalisation #privacy #social: Personalized Privacy Protection in Social Networks (MY, LC, PSY), pp. 141–150.
EDM-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.
EDM-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.
EDM-2010-XuR #analysis #learning #online #social: Peer Production of Online Learning Resources: A Social Network Analysis (BX, MR), pp. 315–316.
ITiCSE-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.
ITiCSE-2010-ForsterJ #approach #education: Hands-on approach to teaching wireless sensor networks at the undergraduate level (AF, MJ), pp. 284–288.
SIGITE-2010-KulgachevJ #evaluation #performance #using: 802.11 networks performance evaluation using OPNET (VK, HJ), pp. 149–152.
SIGITE-2010-Lau: Redesigning and revitalizing two networking courses in an undergraduate information technology degree program (KFL), pp. 165–170.
SIGITE-2010-LewisL #education #security: TLS man-in-the-middle laboratory exercise for network security education (JL, PL), pp. 117–120.
SIGITE-2010-StockmanN #education: A teaching pedagogy for networking/system administration courses: freshman through senior years (MS, JN), pp. 15–20.
SIGITE-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.
SIGITE-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.
ICPC-2010-FalleriHLNPD #automation #identifier: Automatic Extraction of a WordNet-Like Identifier Network from Software (JRF, MH, ML, CN, VP, MD), pp. 4–13.
ICSM-2010-NguyenAH #dependence #metric #quality: Studying the impact of dependency network measures on software quality (THDN, BA, AEH), pp. 1–10.
MSR-2010-NiaBDF #analysis #open source: Validity of network analyses in Open Source Projects (RN, CB, PTD, VF), pp. 201–209.
WCRE-2010-SurianLL #collaboration #developer #mining #scalability: Mining Collaboration Patterns from a Large Developer Network (DS, DL, EPL), pp. 269–273.
ICALP-v1-2010-AnagnostopoulosGLS #design #online: Online Network Design with Outliers (AA, FG, SL, PS), pp. 114–126.
ICALP-v1-2010-BateniHIM #game studies: The Cooperative Game Theory Foundations of Network Bargaining Games (MB, MH, NI, HM), pp. 67–78.
ICALP-v1-2010-GrandoniR #design #problem: Network Design via Core Detouring for Problems without a Core (FG, TR), pp. 490–502.
ICALP-v2-2010-BlasiakK: The Serializability of Network Codes (AB, RDK), pp. 100–114.
ICALP-v2-2010-BunnO: Asynchronous Throughput-Optimal Routing in Malicious Networks (PB, RO), pp. 236–248.
ICALP-v2-2010-ChandranGO #fault tolerance: Improved Fault Tolerance and Secure Computation on Sparse Networks (NC, JAG, RO), pp. 249–260.
ICALP-v2-2010-MertziosSSZ #multi #set: Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests (GBM, IS, MS, SZ), pp. 333–344.
LATA-2010-CabessaV #classification #first-order: A Hierarchical Classification of First-Order Recurrent Neural Networks (JC, AEPV), pp. 142–153.
LATA-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.
SEFM-2010-BenettiMV #ad hoc #model checking #protocol: Model Checking Ad Hoc Network Routing Protocols: ARAN vs. endairA (DB, MM, LV), pp. 191–202.
SEFM-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.
AIIDE-2010-RoweL #interactive #modelling: Modeling User Knowledge with Dynamic Bayesian Networks in Interactive Narrative Environments (JPR, JCL).
CIG-2010-ArinbjarnarK #interactive #realtime: Bayesian networks: Real-time applicable decision mechanisms for intelligent agents in interactive drama (MA, DK), pp. 427–434.
CIG-2010-JohanssonD #behaviour: Introducing time in emotional behavior networks (AJ, PD), pp. 297–304.
CHI-2010-BurkeML #process #social: Social network activity and social well-being (MB, CM, TML), pp. 1909–1912.
CHI-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.
CHI-2010-FreirePSG #analysis #interface #multi #named #visualisation: ManyNets: an interface for multiple network analysis and visualization (MF, CP, BS, JG), pp. 213–222.
CHI-2010-Lackaff: Propitious aggregation: reducing participant burden in ego-centric network data collection (DL), pp. 1467–1470.
CHI-2010-LeskovecHK #social #social media: Signed networks in social media (JL, DPH, JMK), pp. 1361–1370.
CHI-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.
CHI-2010-NakatsumaS #2d #communication #detection: High accuracy position and orientation detection in two-dimensional communication network (KN, HS), pp. 2297–2306.
CHI-2010-StollEM #interactive: Informal interactions in nonprofit networks (JS, WKE, EDM), pp. 533–536.
CHI-2010-Toma #online #social: Affirming the self through online profiles: beneficial effects of social networking sites (CLT), pp. 1749–1752.
CHI-2010-WuDM #detection #enterprise #social #using: Detecting professional versus personal closeness using an enterprise social network site (AW, JMD, DRM), pp. 1955–1964.
CSCW-2010-AmesGKS #product line: Making love in the network closet: the benefits and work of family videochat (MGA, JG, JK, MS), pp. 145–154.
CSCW-2010-ScholandTP #analysis #social: Social language network analysis (AJS, YRT, JWP), pp. 23–26.
ICEIS-AIDSS-2010-AhdabG #learning #performance: Efficient Learning of Dynamic Bayesian Networks from Timed Data (AA, MLG), pp. 226–231.
ICEIS-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.
ICEIS-DISI-2010-KolellG #enterprise #workflow: Workflow Management Issues in Virtual Enterprise Networks (AK, JAG), pp. 23–31.
ICEIS-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.
ICEIS-DISI-2010-Zhang #internet: Wireless Sensor Networks (WSN) and Internet of Things (IOT) (RZ), p. 7.
ICEIS-HCI-2010-ReisBB #challenge #social: New Perspectives for Search in Social Networks — A Challenge for Inclusion (JCdR, RB, MCCB), pp. 53–62.
ICEIS-ISAS-2010-GradlMWK #enterprise #modelling #process #using: Modeling ERP Business Processes using Layered Queueing Networks (SG, MM, HW, HK), pp. 255–260.
ICEIS-J-2010-KolellG10a #enterprise #workflow: Workflow Management Issues in Virtual Enterprise Networks (AK, JAG), pp. 48–59.
ICEIS-J-2010-ReisBB10a #social: Prospecting an Inclusive Search Mechanism for Social Network Services (JCdR, RB, MCCB), pp. 555–570.
ICEIS-SAIC-2010-MatCS #approach #collaboration: Selecting Partners for Collaborative Networks — Mixed Methods Approach (NACM, YC, HS), pp. 122–128.
CIKM-2010-BhattCP #predict #scalability #social: Predicting product adoption in large-scale social networks (RB, VC, RP), pp. 1039–1048.
CIKM-2010-ChenLZY #energy #query: Energy-efficient top-k query processing in wireless sensor networks (BC, WL, RZ, JXY), pp. 329–338.
CIKM-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.
CIKM-2010-ComarTJ #learning #multi: Multi task learning on multiple related networks (PMC, PNT, AKJ), pp. 1737–1740.
CIKM-2010-FreniVMBJ #privacy: Preserving location and absence privacy in geo-social networks (DF, CRV, SM, CB, CSJ), pp. 309–318.
CIKM-2010-GanevGSBS #social #visualisation: Exploring and visualizing academic social networks (VG, ZG, DS, DB, ES), pp. 1963–1964.
CIKM-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.
CIKM-2010-KameshwaranPMVD #interactive #ranking: Outcome aware ranking in interaction networks (SK, VP, SM, NV, KD), pp. 229–238.
CIKM-2010-KotaN #behaviour #social: Threshold behavior of incentives in social networks (NK, YN), pp. 1461–1464.
CIKM-2010-KunegisFB #evolution: Network growth and the spectral evolution model (JK, DF, CB), pp. 739–748.
CIKM-2010-LeungLLW #mining #social: Mining interesting link formation rules in social networks (CWkL, EPL, DL, JW), pp. 209–218.
CIKM-2010-LiuTHJY #mining #topic: Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
CIKM-2010-MaiyaB: Expansion and search in networks (ASM, TYBW), pp. 239–248.
CIKM-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.
CIKM-2010-RonenS #automation #datalog #interactive #social: Automated interaction in social networks with datalog (RR, OS), pp. 1273–1276.
CIKM-2010-RonenS10a #concurrent #protocol #social: Concurrent atomic protocols for making and changing decisions in social networks (RR, OS), pp. 1337–1340.
CIKM-2010-SeseSF #mining: Mining networks with shared items (JS, MS, MF), pp. 1681–1684.
CIKM-2010-SzumlanskiG #automation #concept #semantics: Automatically acquiring a semantic network of related concepts (SRS, FG), pp. 19–28.
CIKM-2010-TianHZLL #social: Boosting social network connectivity with link revival (YT, QH, QZ, XL, WCL), pp. 589–598.
CIKM-2010-TripathyBM #case study #social: A study of rumor control strategies on social networks (RMT, AB, SM), pp. 1817–1820.
CIKM-2010-YangGCTLZS #behaviour #comprehension #social #twitter: Understanding retweeting behaviors in social networks (ZY, JG, KC, JT, JL, LZ, ZS), pp. 1633–1636.
ECIR-2010-PapapetrouSF #clustering #peer-to-peer #probability: Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees (OP, WS, NF), pp. 293–305.
ICML-2010-DavisD #bottom-up #learning #markov: Bottom-Up Learning of Markov Network Structure (JD, PMD), pp. 271–278.
ICML-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.
ICML-2010-GrubbB #composition #learning: Boosted Backpropagation Learning for Training Deep Modular Networks (AG, JAB), pp. 407–414.
ICML-2010-JiXYY #3d #recognition: 3D Convolutional Neural Networks for Human Action Recognition (SJ, WX, MY, KY), pp. 495–502.
ICML-2010-KokD #learning #logic #markov #using: Learning Markov Logic Networks Using Structural Motifs (SK, PMD), pp. 551–558.
ICML-2010-TangE #recognition #robust #visual notation: Deep networks for robust visual recognition (YT, CE), pp. 1055–1062.
ICPR-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.
ICPR-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.
ICPR-2010-Bouchaffra: Topological Dynamic Bayesian Networks (DB), pp. 898–901.
ICPR-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.
ICPR-2010-EscolanoLH #complexity: Heat Flow-Thermodynamic Depth Complexity in Networks (FE, MAL, ERH), pp. 1578–1581.
ICPR-2010-FaselB #realtime #speech: Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech (IF, JB), pp. 1493–1496.
ICPR-2010-GargiuloS #classification #performance: Improving Performance of Network Traffic Classification Systems by Cleaning Training Data (FG, CS), pp. 2768–2771.
ICPR-2010-GuptaD #communication #detection #social: Detection and Characterization of Anomalous Entities in Social Communication Networks (NG, LD), pp. 738–741.
ICPR-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.
ICPR-2010-LiBN #on the #performance: On the Performance of Handoff and Tracking in a Camera Network (YL, BB, VN), pp. 3645–3648.
ICPR-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.
ICPR-2010-ParkY #analysis #approach #game studies #social: Social Network Approach to Analysis of Soccer Game (KJP, AY), pp. 3935–3938.
ICPR-2010-Perez-CarrascoSASL #realtime: Spike-Based Convolutional Network for Real-Time Processing (JAPC, CS, BA, TSG, BLB), pp. 3085–3088.
ICPR-2010-PhilippotBB #algorithm #classification #learning #online: Bayesian Networks Learning Algorithms for Online Form Classification (EP, YB, AB), pp. 1981–1984.
ICPR-2010-PrasadKBRMN #recognition: Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition (RP, MK, DB, AVIR, SM, PN), pp. 2861–2864.
ICPR-2010-SeyedhosseiniPT #classification #image #parsing: Image Parsing with a Three-State Series Neural Network Classifier (MS, ARCP, TT), pp. 4508–4511.
ICPR-2010-SirmacekU #detection #using: Road Network Extraction Using Edge Detection and Spatial Voting (BS, CÜ), pp. 3113–3116.
ICPR-2010-TakalaCP #clustering #sequence: Boosting Clusters of Samples for Sequence Matching in Camera Networks (VT, YC, MP), pp. 400–403.
ICPR-2010-TurkerKG #classification #image #using: Classification of Polarimetric SAR Images Using Evolutionary RBF Networks (TI, SK, MG), pp. 4324–4327.
ICPR-2010-UyarBCB #development #predict: Bayesian Networks for Predicting IVF Blastocyst Development (AU, ABB, HNC, MB), pp. 2772–2775.
ICPR-2010-VajdaF #performance: Exploring Pattern Selection Strategies for Fast Neural Network Training (SV, GAF), pp. 2913–2916.
ICPR-2010-Vazquez-SantacruzB #geometry: A Geometric Radial Basis Function Network for Robot Perception and Action (EVS, EBC), pp. 2961–2964.
ICPR-2010-ZhouCW #classification #quantum: Deep Quantum Networks for Classification (SZ, QC, XW), pp. 2885–2888.
KDD-2010-ChenWW #scalability #social: Scalable influence maximization for prevalent viral marketing in large-scale social networks (WC, CW, YW), pp. 1029–1038.
KDD-2010-ChuaL #generative #modelling #online #rating #trust #using: Trust network inference for online rating data using generative models (FCTC, EPL), pp. 889–898.
KDD-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.
KDD-2010-Gomez-RodriguezLK: Inferring networks of diffusion and influence (MGR, JL, AK), pp. 1019–1028.
KDD-2010-LappasTGM #social: Finding effectors in social networks (TL, ET, DG, HM), pp. 1059–1068.
KDD-2010-MaserratP #query #social: Neighbor query friendly compression of social networks (HM, JP), pp. 533–542.
KDD-2010-MeiGR #named: DivRank: the interplay of prestige and diversity in information networks (QM, JG, DRR), pp. 1009–1018.
KDD-2010-MiaoMYTCA #generative #modelling: Generative models for ticket resolution in expert networks (GM, LEM, XY, ST, YC, NA), pp. 733–742.
KDD-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.
KDD-2010-WangHJTZYG #mining #research: Mining advisor-advisee relationships from research publication networks (CW, JH, YJ, JT, DZ, YY, JG), pp. 203–212.
KDD-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.
KDIR-2010-EjbaliZA #approach #recognition #word: Intelligent Approach to Train Wavelet Networks for Recognition System of Arabic Words (RE, MZ, CBA), pp. 518–522.
KDIR-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.
KDIR-2010-MautnerM #categorisation #comparison #documentation: Comparison of Neural Networks used for Processing and Categorization of Czech Written Documents (PM, RM), pp. 510–513.
KDIR-2010-Onem #behaviour #classification #detection: Unwanted Behaviour Detection and Classification in Network Traffic (IMÖ), pp. 122–128.
KDIR-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.
KDIR-2010-ParviainenRML #approximate #infinity #learning: Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network (EP, JR, YM, AL), pp. 65–73.
KEOD-2010-ChatterjeeB #documentation #random #summary #using: Single Document Text Summarization using Random Indexing and Neural Networks (NC, AB), pp. 171–176.
KEOD-2010-NairM #multi #using: Informledge System — A Modified Knowledge Network with Autonomous Nodes using Multi-lateral Links (TRGN, MM), pp. 351–354.
KMIS-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.
KMIS-2010-HoH #effectiveness #library #social: Effectiveness of Social Networking in a University Library Environment (HIH, JH), pp. 307–310.
KMIS-2010-WiilGM #analysis #information management: CrimeFighter Assistant — A Knowledge Management Tool for Terrorist Network Analysis (UKW, JG, NM), pp. 15–24.
KMIS-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.
KR-2010-CondottaL #constraints: A Class of df-Consistencies for Qualitative Constraint Networks (JFC, CL).
KR-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).
RecSys-2010-DalyGM #recommendation #social: The network effects of recommending social connections (EMD, WG, DRM), pp. 301–304.
RecSys-2010-FreyneBDG #recommendation #social: Social networking feeds: recommending items of interest (JF, SB, EMD, WG), pp. 277–280.
RecSys-2010-JamaliE #matrix #recommendation #social #trust: A matrix factorization technique with trust propagation for recommendation in social networks (MJ, ME), pp. 135–142.
RecSys-2010-LappasG #interactive #recommendation #social: Interactive recommendations in social endorsement networks (TL, DG), pp. 127–134.
RecSys-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.
RecSys-2010-VasukiNLD #recommendation #using: Affiliation recommendation using auxiliary networks (VV, NN, ZL, ISD), pp. 103–110.
SEKE-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.
SEKE-2010-BackerM #algorithm: Evaluating the Weighted Sum Algorithm for Estimating Conditional Probabilities in Bayesian Networks (SB, EM), pp. 319–324.
SEKE-2010-ChangH #multi: A Multi-Agent Model for a Business Continuity Information Network (LC, XH), pp. 657–663.
SEKE-2010-GoelXS #multi #online #verification: A Multi-State Bayesian Network for Shill Verification in Online Auctions (AG, HX, SMS), pp. 279–285.
SEKE-2010-Pelaez #convergence #forensics #modelling: A Pattern Methodology for Modeling Network Forensic Investigations in Converged Tactical Environments (JCP), pp. 777–782.
SEKE-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.
SIGIR-2010-Fang #information management: Entity information management in complex networks (YF), p. 917.
SIGIR-2010-KeM #effectiveness #information retrieval #performance #scalability: Scalability of findability: effective and efficient IR operations in large information networks (WK, JM), pp. 74–81.
ECMFA-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.
TOOLS-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.
ICSE-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.
ICSE-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.
ICSE-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.
SAC-2010-AquinoOW #algorithm: A wavelet-based sampling algorithm for wireless sensor networks applications (ALLdA, RARO, EFW), pp. 1604–1608.
SAC-2010-AyyappanWN #algorithm #constraints #learning #named #scalability: MICHO: a scalable constraint-based algorithm for learning Bayesian networks (MA, YKW, WKN), pp. 985–989.
SAC-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.
SAC-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.
SAC-2010-ClaycombLSK #policy #security: A group-based security policy for wireless sensor networks (WC, RL, DS, BK), pp. 778–785.
SAC-2010-Coen-PorisiniCS: Dealing with anonymity in wireless sensor networks (ACP, PC, SS), pp. 2216–2223.
SAC-2010-DomanPD #fuzzy #query: Leveraging fuzzy query processing to support applications in wireless sensor networks (MD, JP, TD), pp. 764–771.
SAC-2010-ElliottMCOO #database #interface #query: Advanced querying interface for biochemical network databases (BE, SM, AC, GÖ, ZMÖ), pp. 1526–1533.
SAC-2010-GaberS #classification #data type #distributed: Distributed data stream classification for wireless sensor networks (MMG, AMS), pp. 1629–1630.
SAC-2010-GrossklagsRCC #named #security: Nudge: intermediaries’ role in interdependent network security (JG, SR, AAC, JC), pp. 1879–1880.
SAC-2010-GuoQL #configuration management #energy #optimisation #using: A general energy optimization model for wireless networks using configurable antennas (SG, ZQ, SL), pp. 246–250.
SAC-2010-HarshCN #generative #towards: Gray networking: a step towards next generation computer networks (PH, RC, REN), pp. 1323–1328.
SAC-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.
SAC-2010-HautakorpiM #algorithm #using: Load balancing for structured P2P networks using the advanced finger selection algorithm (AFSA) (JH, JM), pp. 655–662.
SAC-2010-HedgecockVLKAST #mobile #monitoring: Mobile air pollution monitoring network (WH, PV, ÁL, XDK, AA, ASS, AT), pp. 795–796.
SAC-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.
SAC-2010-KimKMY #multi #predict #probability #using: Probabilistic context prediction using time-inferred multiple pattern networks (YHK, WK, KM, YY), pp. 1015–1019.
SAC-2010-LeeKL #personalisation #taxonomy: Applying taxonomic knowledge to Bayesian belief network for personalized search (JwL, HjK, SgL), pp. 1796–1801.
SAC-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.
SAC-2010-LenzLS #named #streaming #video: SeRViSO: a selective retransmission scheme for video streaming in overlay networks (CEL, LCL, FAS), pp. 694–698.
SAC-2010-LiuHLW #consistency #migration #virtual machine: Network state consistency of virtual machine in live migration (XL, JH, QL, TW), pp. 727–728.
SAC-2010-MatosBM #predict #towards: Towards in-network data prediction in wireless sensor networks (TBM, AB, JEBM), pp. 592–596.
SAC-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.
SAC-2010-MelchiorsSMSPGT #distributed: A network polling solution through a P2P-based distributed management environment (CM, AHdS, DM, CRPdS, AP, LZG, LMRT), pp. 729–730.
SAC-2010-MiaoOWS #distributed #using: Coverage-hole trap model in target tracking using distributed relay-robot network (HM, CCO, XW, CS), pp. 1299–1304.
SAC-2010-MohamedA #ad hoc #framework #novel: Novel immune-based framework for securing ad hoc networks (YAM, ABA), pp. 1950–1957.
SAC-2010-MulasACFQF #adaptation #energy: Network-adaptive management of computation energy in wireless sensor networks (FM, AA, SC, GF, DQ, FF), pp. 756–763.
SAC-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.
SAC-2010-NinagawaE #modelling #predict #probability #using: Link prediction using probabilistic group models of network structure (AN, KE), pp. 1115–1116.
SAC-2010-OliverSF #abstraction #operating system: An operating system abstraction layer for portable applications in wireless sensor networks (RSO, IS, GF), pp. 742–748.
SAC-2010-RibeiroS #data type #named #performance: g-tries: an efficient data structure for discovering network motifs (PMPR, FMAS), pp. 1559–1566.
SAC-2010-SardanaJ: Dual-level defense for networks under DDoS attacks (AS, RCJ), pp. 733–734.
SAC-2010-SatzgerBKU #lightweight #self #towards: Towards lightweight self-configuration in wireless sensor networks (BS, FB, FK, TU), pp. 791–792.
SAC-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.
SAC-2010-SenguptaMS #multi #named #protocol: MMSRP: multi-wavelength Markov-based split reservation protocol for DWDM optical networks (MS, SKM, DS), pp. 689–693.
SAC-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.
SAC-2010-Sobernig #feature model #interactive: Feature interaction networks (SS), pp. 2360–2364.
SAC-2010-SorniottiM #facebook #implementation #social: Secret interest groups (SIGs) in social networks with an implementation on Facebook (AS, RM), pp. 621–628.
SAC-2010-TeixeiraG #algorithm #scheduling: Uplink scheduling algorithm with dynamic polling management in IEEE 802.16 broadband wireless networks (MAT, PRG), pp. 601–602.
SAC-2010-WibisonoLZ #ad hoc #collaboration #framework #mobile: Collaborative context management framework for mobile ad hoc network environments (WW, SL, ABZ), pp. 558–562.
SAC-2010-YadavS #framework #named #trust: iTrust: an integrated trust framework for wireless sensor networks (KY, AS), pp. 1466–1471.
SAC-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.
SAC-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.
CASE-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.
CASE-2010-CoppBHTVR #automation #monitoring #quality #towards: Towards the automation of water quality monitoring networks (JBC, EB, CH, MT, PAV, LR), pp. 491–496.
CASE-2010-CostantinoDFFMSU #design: A model for the strategic design of Distribution Networks (NC, MD, MF, MPF, AMM, FS, WU), pp. 406–411.
CASE-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.
DAC-2010-Ababei #design #modelling #optimisation #using: Network on chip design and optimization using specialized influence models (CA), pp. 625–626.
DAC-2010-ChoRXP #using: History-based VLSI legalization using network flow (MC, HR, HX, RP), pp. 286–291.
DAC-2010-DeOrioB #automation #design #social: Electronic design automation for social networks (AD, VB), pp. 621–622.
DAC-2010-GoossensH #evolution: The aethereal network on chip after ten years: goals, evolution, lessons, and future (KG, AH), pp. 306–311.
DAC-2010-HuangCKT #named #predict: NTPT: on the end-to-end traffic prediction in the on-chip networks (YSCH, KCKC, CTK, SYT), pp. 449–452.
DAC-2010-Koushanfar #hybrid #power management: Hierarchical hybrid power supply networks (FK), pp. 629–630.
DAC-2010-MicheliSMBAP #research: Networks on Chips: from research to products (GDM, CS, SM, LB, FA, AP), pp. 300–305.
DAC-2010-ModarressiST #architecture #configuration management #performance: An efficient dynamically reconfigurable on-chip network architecture (MM, HSA, AT), pp. 166–169.
DAC-2010-YoonCPC #analysis #comparative #multi #physics: Virtual channels vs. multiple physical networks: a comparative analysis (YJY, NC, MP, LPC), pp. 162–165.
DAC-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.
DAC-2010-ZhangL #manycore: A multilayer nanophotonic interconnection network for on-chip many-core communications (XZ, AL), pp. 156–161.
DATE-2010-Barker #aspect-oriented #security: Security aspects in 6lowPan networks (RB), p. 660.
DATE-2010-BauerSF #analysis #worst-case: Worst-case end-to-end delay analysis of an avionics AFDX network (HB, JLS, CF), pp. 1220–1224.
DATE-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.
DATE-2010-DammMHG #modelling #simulation #transaction #using: Using Transaction Level Modeling techniques for wireless sensor network simulation (MD, JM, JH, CG), pp. 1047–1052.
DATE-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.
DATE-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.
DATE-2010-JunYC #library #multi #synthesis: Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network (MJ, SY, EYC), pp. 1390–1395.
DATE-2010-KarnerASW #runtime #simulation #using: Holistic simulation of FlexRay networks by using run-time model switching (MK, EA, CS, RW), pp. 544–549.
DATE-2010-KiladaS #design #generative #latency: Control network generator for latency insensitive designs (EK, KSS), pp. 1773–1778.
DATE-2010-LeeM #named #optimisation: Contango: Integrated optimization of SoC clock networks (DL, ILM), pp. 1468–1473.
DATE-2010-LongM #bias #monitoring #optimisation: Optimization of the bias current network for accurate on-chip thermal monitoring (JL, SOM), pp. 1365–1368.
DATE-2010-MeijerNS #modelling #process #throughput: Throughput modeling to evaluate process merging transformations in polyhedral process networks (SM, HN, TS), pp. 747–752.
DATE-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.
DATE-2010-TraubSKB: Scenario extraction for a refined timing-analysis of automotive network topologies (MT, TS, OK, JB), pp. 81–86.
DATE-2010-ZebeleinFHTD #modelling #performance: Efficient High-Level modeling in the networking domain (CZ, JF, CH, JT, RD), pp. 1189–1194.
HPCA-2010-DongYLLTG #performance: High performance network virtualization with SR-IOV (YD, XY, XL, JL, KT, HG), pp. 1–10.
HPCA-2010-UdipiMB #energy #scalability #towards: Towards scalable, energy-efficient, bus-based on-chip networks (ANU, NM, RB), pp. 1–12.
HPDC-2010-AppavooWSURHSWS #framework: Providing a cloud network infrastructure on a supercomputer (JA, AW, DDS, VU, BSR, EVH, JS, RWW, US), pp. 385–394.
HPDC-2010-JardakROM #parallel #scalability: Parallel processing of data from very large-scale wireless sensor networks (CJ, JR, FO, PM), pp. 787–794.
HPDC-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.
HPDC-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.
HPDC-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.
HPDC-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.
HPDC-2010-WojciechowskiCPI #named #towards: BTWorld: towards observing the global BitTorrent file-sharing network (MW, MC, JAP, AI), pp. 581–588.
LCTES-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.
OSDI-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.
OSDI-2010-PopaERS #rule-based: Building Extensible Networks with Rule-Based Forwarding (LP, NE, SR, IS), pp. 379–392.
OSDI-2010-SherwoodGYACMP #question: Can the Production Network Be the Testbed? (RS, GG, KKY, GA, MC, NM, GMP), pp. 365–378.
PDP-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.
PDP-2010-MasonGC #architecture #evaluation #parallel #security: Evaluation of a Massively Parallel Architecture for Network Security Applications (BCM, DG, CLC), pp. 85–91.
PDP-2010-SkopikSD #enterprise #interactive #scalability: Trusted Interaction Patterns in Large-scale Enterprise Service Networks (FS, DS, SD), pp. 367–374.
PDP-2010-StriglKP #performance #scalability: Performance and Scalability of GPU-Based Convolutional Neural Networks (DS, KK, SP), pp. 317–324.
PDP-2010-SunWC #approach #clustering #coordination #graph: A Graph Clustering Approach to Computing Network Coordinates (YS, BW, KC), pp. 129–136.
PDP-2010-TaktakED #algorithm #polynomial: A Polynomial Algorithm to Prove Deadlock-Freeness of Wormhole Networks (ST, EE, JLD), pp. 121–128.
PDP-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.
PDP-2010-ZarzaLFL10a #concurrent #fault #multi: Deadlock Avoidance for Interconnection Networks with Multiple Dynamic Faults (GZ, DL, DF, EL), pp. 276–280.
PPoPP-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.
ESOP-2010-Wenner #automaton: Weighted Dynamic Pushdown Networks (AW), pp. 590–609.
STOC-2010-FraigniaudG #on the: On the searchability of small-world networks with arbitrary underlying structure (PF, GG), pp. 389–398.
STOC-2010-KuhnLO #distributed: Distributed computation in dynamic networks (FK, NAL, RO), pp. 513–522.
CAV-2010-MeyerS #named: Petruchio: From Dynamic Networks to Nets (RM, TS), pp. 175–179.
CAV-2010-PulinaT #abstraction #approach #verification: An Abstraction-Refinement Approach to Verification of Artificial Neural Networks (LP, AT), pp. 243–257.
ICLP-2010-ShakarianSS10 #optimisation #problem #social #source code #using: Using Generalized Annotated Programs to Solve Social Network Optimization Problems (PS, VSS, MLS), pp. 182–191.
ICTSS-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-ECSA-2009-NavarroCP #architecture #weaving: Weaving a network of architectural knowledge (EN, CEC, DEP), pp. 241–244.
DRR-2009-Likforman-SulemS #classification #recognition: Combination of dynamic Bayesian network classifiers for the recognition of degraded characters (LLS, MS), pp. 1–10.
ECDL-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.
ECDL-2009-PalmerWWKRH #library #personalisation: Digital Libraries, Personalisation, and Network Effects — Unpicking the Paradoxes (JP, CW, PW, DK, DR, BHD), p. 377.
HT-2009-Ammann #community: Jorn barger, the newspage network and the emergence of the weblog community (RA), pp. 279–288.
HT-2009-BoellaTV #metric #social: Four measures for the dynamics of coalitions in social networks (GB, LWNvdT, SV), pp. 361–362.
HT-2009-CarmagnolaLB #facebook #similarity #social: Vcast on facebook: bridging social and similarity networks (FC, AL, GB), pp. 329–330.
HT-2009-Murata: Modularities for bipartite networks (TM), pp. 245–250.
HT-2009-NeubauerO #component: Hyperincident connected components of tagging networks (NN, KO), pp. 229–238.
HT-2009-RafelsbergerS #game studies #platform #social: Games with a purpose for social networking platforms (WR, AS), pp. 193–198.
HT-2009-RosenC #analysis #social: Social network analysis in virtual environments (DR, MC), pp. 317–322.
HT-2009-StewartDNMNS #personalisation #social: Cross-tagging for personalized open social networking (AS, EDA, WN, LBM, AN, LST), pp. 271–278.
ICDAR-2009-BarratT #image #modelling #using: Modeling, Classifying and Annotating Weakly Annotated Images Using Bayesian Network (SB, ST), pp. 1201–1205.
ICDAR-2009-DengSS #recognition: Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition (HD, GS, CYS), pp. 581–585.
ICDAR-2009-FrinkenB #learning #recognition #word: Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition (VF, HB), pp. 31–35.
ICDAR-2009-LuqmanBR #classification #graph #recognition #using: Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier (MML, TB, JYR), pp. 1325–1329.
ICDAR-2009-StefanoFFM #classification #evolution #learning: Learning Bayesian Networks by Evolution for Classifier Combination (CDS, FF, ASdF, AM), pp. 966–970.
JCDL-2009-CartledgeN: Unsupervised creation of small world networks for the preservation of digital objects (CLC, MLN), pp. 349–352.
SIGMOD-2009-ChenSZY #monitoring #nearest neighbour: Monitoring path nearest neighbor in road networks (ZC, HTS, XZ, JXY), pp. 591–602.
SIGMOD-2009-FrankeG #detection #named: ORDEN: outlier region detection and exploration in sensor networks (CF, MG), pp. 1075–1078.
VLDB-2009-BorisovBURS #database #named #problem: DIADS: A Problem Diagnosis Tool for Databases and Storage Area Networks (NB, SB, SU, RR, AS), pp. 1546–1549.
VLDB-2009-CormodeSBK #graph #social: Class-based graph anonymization for social network data (GC, DS, SB, BK), pp. 766–777.
VLDB-2009-KimH #clustering: A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
VLDB-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.
VLDB-2009-LiuLGF #approximate #query: Enabling epsilon-Approximate Querying in Sensor Networks (YL, JL, HG, XF), pp. 169–180.
VLDB-2009-SankaranarayananSA: Path Oracles for Spatial Networks (JS, HS, HA), pp. 1210–1221.
VLDB-2009-SarigolRSA #ad hoc #mobile #social: Enabling social networking in ad hoc networks of mobile phones (ES, OR, PS, GA), pp. 1634–1637.
VLDB-2009-WangL #mobile #privacy: Privacy-Aware Mobile Services over Road Networks (TW, LL), pp. 1042–1053.
VLDB-2009-ZouCO09a #framework #morphism #named #privacy: K-Automorphism: A General Framework For Privacy Preserving Network Publication (LZ, LC, MTÖ), pp. 946–957.
ITiCSE-2009-ErkanNO #replication #research: Exposure to research through replication of research: a case in complex networks (AE, SN, NO), pp. 114–118.
SIGITE-2009-CaoWCW #education #multi #research: Developing a multifunctional network laboratory for teaching and research (XC, YW, AC, YW), pp. 155–160.
SIGITE-2009-Hartpence #case study #experience #security #source code: Qos content and experiences for IT, networking and security programs (BH), pp. 60–64.
SIGITE-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.
SIGITE-2009-YuanZ #design #education #open source: An instructional design of open source networking laboratory and curriculum (DY, JZ), pp. 37–42.
ICPC-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.
CSMR-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.
ICSM-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.
CIAA-2009-Sastre-Martinez #parsing #performance #recursion #using: Efficient Parsing Using Filtered-Popping Recursive Transition Networks (JMSM), pp. 241–244.
ICALP-v1-2009-KobayashiGNR #communication #quantum: General Scheme for Perfect Quantum Network Coding with Free Classical Communication (HK, FLG, HN, MR), pp. 622–633.
ICALP-v2-2009-AzarMMPS #adaptation: Maximum Bipartite Flow in Networks with Adaptive Channel Width (YA, AM, TM, DP, AS), pp. 351–362.
ICALP-v2-2009-ChierichettiLP #social: Rumor Spreading in Social Networks (FC, SL, AP), pp. 375–386.
ICALP-v2-2009-DaskalakisP #on the #theorem: On a Network Generalization of the Minmax Theorem (CD, CHP), pp. 423–434.
ICALP-v2-2009-FanghanelKV #algorithm #latency: Improved Algorithms for Latency Minimization in Wireless Networks (AF, TK, BV), pp. 447–458.
ICALP-v2-2009-FotakisKS #design #performance: Efficient Methods for Selfish Network Design (DF, ACK, PGS), pp. 459–471.
ICALP-v2-2009-FriedrichSV #analysis: Smoothed Analysis of Balancing Networks (TF, TS, DV), pp. 472–483.
ICALP-v2-2009-KowalskiP #ad hoc: Leader Election in Ad Hoc Radio Networks: A Keen Ear Helps (DRK, AP), pp. 521–533.
LATA-2009-MitranaT #on the: On Accepting Networks of Evolutionary Processors with at Most Two Types of Nodes (VM, BT), pp. 588–600.
FM-2009-HeidarianSV #analysis #protocol: Analysis of a Clock Synchronization Protocol for Wireless Sensor Networks (FH, JS, FWV), pp. 516–531.
IFM-2009-VossSE #scheduling: SAL-Based Symbolic Scheduling in Time-Triggered Networks (SV, MS, KE), pp. 200–214.
CIG-2009-MandziukM #problem: Neural networks compete with expert human players in solving the Double Dummy Bridge Problem (JM, KM), pp. 117–124.
CIG-2009-NicolaiH: No-Limit Texas Hold'em Poker agents created with evolutionary neural networks (GN, RJH), pp. 125–131.
CIG-2009-Stanley #evolution #game studies #video: Practical issues in evolving neural network controllers for video game agents (KOS).
CIG-2009-WestraD: Evolutionary neural networks for Non-Player Characters in Quake III (JW, FD), pp. 302–309.
DiGRA-2009-Rossi #game studies #social: Playing your network: gaming in social network sites (LR).
CHI-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.
CHI-2009-BurkeML #social: Feed me: motivating newcomer contribution in social network sites (MB, CM, TML), pp. 945–954.
CHI-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.
CHI-2009-MoscovichCHPF #navigation #scalability: Topology-aware navigation in large networks (TM, FC, NH, EP, JDF), pp. 2319–2328.
HIMI-DIE-2009-UgaiA #analysis #social #tool support: Organization Diagnosis Tools Based on Social Network Analysis (TU, KA), pp. 181–189.
HIMI-II-2009-GaoMT #multi #social #visualisation: A Multiple-Aspects Visualization Tool for Exploring Social Networks (JG, KM, JT), pp. 277–286.
HIMI-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.
HIMI-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.
HIMI-II-2009-ParkLKC #performance: Freeze TCPv2: An Enhancement of Freeze TCP for Efficient Handoff in Heterogeneous Networks (MP, JL, JK, HC), pp. 448–457.
HIMI-II-2009-TakahashiKY #development #information management: A Development of Information System for Disaster Victims with Autonomous Wireless Network (YT, DK, SY), pp. 855–864.
IDGD-2009-MarcusK #analysis #social: Cross-Cultural Analysis of Social Network Services in Japan, Korea, and the USA (AM, NK), pp. 59–68.
OCSC-2009-AlmeidaNMHB #approach #design #social: Designing Inclusive Social Networks: A Participatory Approach (LDAA, VPdAN, LCdM, ECSH, MCCB), pp. 653–662.
OCSC-2009-BarberioL #community: Weighting Structures: Evolutionary Dynamics of Innovation Networks in Virtual Communities (VB, AL), pp. 295–304.
OCSC-2009-BrandtzaegH #people #social #why: Why People Use Social Networking Sites (PBB, JH), pp. 143–152.
OCSC-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.
OCSC-2009-GhafourianKR #navigation #social: Universal Navigation through Social Networking (MG, HAK, LvR), pp. 13–22.
OCSC-2009-LambropoulosKB #challenge #research: User Innovation Networks and Research Challenges (NL, PK, AB), pp. 364–373.
OCSC-2009-MeiselwitzL #social: Accessibility of Registration Mechanisms in Social Networking Sites (GM, JL), pp. 82–90.
OCSC-2009-PetersonS #analysis #social: Analysis of Information Disclosure on a Social Networking Site (KP, KAS), pp. 256–264.
OCSC-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.
OCSC-2009-WentzL #email #social: Email Accessibility and Social Networking (BW, JL), pp. 134–140.
EDOC-2009-GovernatoriI #modelling #policy #reasoning #social: Modelling and Reasoning Languages for Social Networks Policies (GG, RI), pp. 193–200.
ICEIS-AIDSS-2009-KhashmanD #image #using: Optimum DCT Compression of Medical Images using Neural Networks (AK, KD), pp. 90–95.
ICEIS-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.
ICEIS-AIDSS-2009-ZanchettinL #design #hybrid #optimisation: Hybrid Optimization Technique for Artificial Neural Networks Design (CZ, TBL), pp. 242–247.
ICEIS-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.
ICEIS-DISI-2009-StempliucFAB #concept #modelling: Extending the UML-GeoFrame Data Model for Conceptual Modeling of Network Applications (SMS, JLF, MVAA, KAVB), pp. 164–170.
ICEIS-HCI-2009-FeczakH #coordination #open source #social: Measuring Coordination Gaps of Open Source Groups through Social Networks (SF, LH), pp. 84–90.
ICEIS-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.
ICEIS-J-2009-NachevHS #fuzzy #predict #using: Insolvency Prediction of Irish Companies Using Backpropagation and Fuzzy ARTMAP Neural Networks (AN, SH, BS), pp. 287–298.
ICEIS-J-2009-Sun #using: Stereo Matching Using Synchronous Hopfield Neural Network (THS), pp. 336–347.
CIKM-2009-BoldiBCV #social: Voting in social networks (PB, FB, CC, SV), pp. 777–786.
CIKM-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.
CIKM-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.
CIKM-2009-ChenLY #evaluation #maintenance #query: Progressive skyline query evaluation and maintenance in wireless sensor networks (BC, WL, JXY), pp. 1445–1448.
CIKM-2009-ChokG #framework #mining #realtime: Spatio-temporal association rule mining framework for real-time sensor network applications (HC, LG), pp. 1761–1764.
CIKM-2009-DriesNR #query: A query language for analyzing networks (AD, SN, LDR), pp. 485–494.
CIKM-2009-HungP #clustering #predict: Clustering object moving patterns for prediction-based object tracking sensor networks (CCH, WCP), pp. 1633–1636.
CIKM-2009-LuCP #clustering #social #web: Exploit the tripartite network of social tagging for web clustering (CL, XC, EKP), pp. 1545–1548.
CIKM-2009-MassSS #effectiveness #scalability: A scalable and effective full-text search in P2P networks (YM, YS, MSS), pp. 1979–1982.
CIKM-2009-PotamiasBCG #distance #estimation #performance #scalability: Fast shortest path distance estimation in large networks (MP, FB, CC, AG), pp. 867–876.
CIKM-2009-WangZZ09a #information management: Bridging the gap: complex networks meet information and knowledge management (JW, SZ, DZ), pp. 2113–2114.
CIKM-2009-ZhaoHS #named #similarity: P-Rank: a comprehensive structural similarity measure over information networks (PZ, JH, YS), pp. 553–562.
ICML-2009-CamposZJ #constraints #learning #using: Structure learning of Bayesian networks using constraints (CPdC, ZZ, QJ), pp. 113–120.
ICML-2009-FuSX #evolution: Dynamic mixed membership blockmodel for evolving networks (WF, LS, EPX), pp. 329–336.
ICML-2009-KokD #learning #logic #markov: Learning Markov logic network structure via hypergraph lifting (SK, PMD), pp. 505–512.
ICML-2009-LeeGRN #learning #scalability: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (HL, RBG, RR, AYN), pp. 609–616.
ICML-2009-Leskovec #ml #scalability #social #summary #tutorial: Tutorial summary: Large social and information networks: opportunities for ML (JL), p. 19.
ICML-2009-Makino #predict #representation: Proto-predictive representation of states with simple recurrent temporal-difference networks (TM), pp. 697–704.
ICML-2009-ZhuX #markov #on the: On primal and dual sparsity of Markov networks (JZ, EPX), pp. 1265–1272.
KDD-2009-ChangBB #social: Connections between the lines: augmenting social networks with text (JC, JLBG, DMB), pp. 169–178.
KDD-2009-ChenWY #performance #social: Efficient influence maximization in social networks (WC, YW, SY), pp. 199–208.
KDD-2009-ChierichettiKLMPR #on the #social: On compressing social networks (FC, RK, SL, MM, AP, PR), pp. 219–228.
KDD-2009-DuFWA #communication #generative #scalability: Large human communication networks: patterns and a utility-driven generator (ND, CF, BW, LA), pp. 269–278.
KDD-2009-GuoTCZZ #generative #online #social: Analyzing patterns of user content generation in online social networks (LG, ET, SC, XZ, YEZ), pp. 369–378.
KDD-2009-HiroseYNF #detection #equation: Network anomaly detection based on Eigen equation compression (SH, KY, TN, RF), pp. 1185–1194.
KDD-2009-LappasLT #social: Finding a team of experts in social networks (TL, KL, ET), pp. 467–476.
KDD-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.
KDD-2009-ScrippsTE #analysis #preprocessor: Measuring the effects of preprocessing decisions and network forces in dynamic network analysis (JS, PNT, AHE), pp. 747–756.
KDD-2009-SunYH #clustering: Ranking-based clustering of heterogeneous information networks with star network schema (YS, YY, JH), pp. 797–806.
KDD-2009-TangSWY #analysis #scalability #social: Social influence analysis in large-scale networks (JT, JS, CW, ZY), pp. 807–816.
KDD-2009-WangSAL #fault #learning: Learning, indexing, and diagnosing network faults (TW, MS, DA, LL), pp. 857–866.
KDD-2009-Wasserman #statistics: Network science: an introduction to recent statistical approaches (SW), pp. 9–10.
KDD-2009-YooYLM #email #mining #personalisation #social: Mining social networks for personalized email prioritization (SY, YY, FL, ICM), pp. 967–976.
KDD-2009-YouHC #biology #learning: Learning patterns in the dynamics of biological networks (CHY, LBH, DJC), pp. 977–986.
KDD-2009-ZhangWWZ #community #detection #parallel #scalability: Parallel community detection on large networks with propinquity dynamics (YZ, JW, YW, LZ), pp. 997–1006.
KDD-2009-ZhelevaSG #co-evolution #social: Co-evolution of social and affiliation networks (EZ, HS, LG), pp. 1007–1016.
KDD-2009-ZhuXZ #markov: Primal sparse Max-margin Markov networks (JZ, EPX, BZ), pp. 1047–1056.
KMIS-2009-ZyglarskiB #documentation #keyword: Scientific Documents Management System — Application of Kohonens Neural Networks with Reinforcement in Keywords Extraction (BZ, PB), pp. 55–62.
MLDM-2009-GaagRFGEBF #classification: Aligning Bayesian Network Classifiers with Medical Contexts (LCvdG, SR, AF, AdG, MJCE, FJB, BCJMF), pp. 787–801.
RecSys-2009-BroccoG #recommendation: Team recommendation in open innovation networks (MB, GG), pp. 365–368.
RecSys-2009-JamaliE #recommendation #trust #using: Using a trust network to improve top-N recommendation (MJ, ME), pp. 181–188.
RecSys-2009-WalterBS #personalisation #social #trust: Personalised and dynamic trust in social networks (FEW, SB, FS), pp. 197–204.
SEKE-2009-Kung: Wireless Computing, Networking and Sensing (HTK), p. 1.
SEKE-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.
SEKE-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.
SEKE-2009-XuZW #predict: Long-term Prediction of Wireless Network Traffic (ZX, ZZ, WW), pp. 473–479.
SIGIR-2009-Barabasi #behaviour: From networks to human behavior (ALB), p. 435.
SIGIR-2009-BenevenutoRAAG #detection #online #social #video: Detecting spammers and content promoters in online video social networks (FB, TR, VAFA, JMA, MAG), pp. 620–627.
SIGIR-2009-KonstasSJ #collaboration #on the #recommendation #social: On social networks and collaborative recommendation (IK, VS, JMJ), pp. 195–202.
SIGIR-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.
SIGIR-2009-RonenSUUYZCGHO #enterprise #social: Social networks and discovery in the enterprise (SaND) (IR, ES, SU, EU, SY, NZ, DC, IG, NH, SOK), p. 836.
ECMDA-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.
TOOLS-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.
PADL-2009-NavarroR #declarative #semantics: Operational Semantics for Declarative Networking (JANP, AR), pp. 76–90.
PADL-2009-WangBLS #declarative #verification: Declarative Network Verification (AW, PB, BTL, OS), pp. 61–75.
PEPM-2009-EversK #automation: Partially evaluated sensor networks: automatic specialization for heterogeneous wireless sensor & actuator networks (LE, JK), pp. 73–80.
ESEC-FSE-2009-PathakG #named #tool support #visual notation: Srijan: a graphical toolkit for sensor network macroprogramming (AP, MKG), pp. 301–302.
ICSE-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.
SAC-2009-AhulloLAA #simulation: An extensible simulation tool for overlay networks and services (JPA, PGL, MSA, MAA), pp. 2072–2076.
SAC-2009-BatistaDF #grid #robust: Robust scheduler for grid networks (DMB, ACD, NLSdF), pp. 35–39.
SAC-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.
SAC-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.
SAC-2009-EirakuSPKK #performance #virtual machine: Fast networking with socket-outsourcing in hosted virtual machine environments (HE, YS, CP, YK, KK), pp. 310–317.
SAC-2009-EstevesAS #grid #quality: Quality of service management in GMPLS-based grid OBS networks (RPE, AJGA, MAS), pp. 74–78.
SAC-2009-FortS #distance: GPU-based computation of distance functions on road networks with applications (MF, JAS), pp. 1320–1324.
SAC-2009-FreitasT #ubiquitous: Ubiquitous services in home networks offered through digital TV (GBdF, CACT), pp. 1834–1838.
SAC-2009-HeYAL #named: BPR: a bit-level packet recovery in wireless sensor networks (JH, JY, CA, XL), pp. 59–65.
SAC-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.
SAC-2009-KimR #multi #realtime: Opportunistic real-time routing in multi-hop wireless sensor networks (JK, BR), pp. 2197–2201.
SAC-2009-KingLS #taxonomy: A taxonomy and adversarial model for attacks against network log anonymization (JK, KL, AJS), pp. 1286–1293.
SAC-2009-KokashCRI #flexibility #protocol: A flexible QoS-aware routing protocol for infrastructure-less B3G networks (NK, RSC, PGR, VI), pp. 212–216.
SAC-2009-KontosB #modelling #visual notation: An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models (KK, GB), pp. 793–798.
SAC-2009-LeccaPPS #generative #parametricity #probability: A new probabilistic generative model of parameter inference in biochemical networks (PL, AP, CP, GS), pp. 758–765.
SAC-2009-LeeKLY #approximate #database: Approximate indexing in road network databases (SCL, SWK, JL, JSY), pp. 1568–1572.
SAC-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.
SAC-2009-LiCC #correlation: Construct anticancer drug-drug correlation network (JL, PC, JYC), pp. 771–775.
SAC-2009-LindvallFKCJ #semantics #using: Searching for relevant software change artifacts using semantic networks (ML, RLF, GK, ZC, VPJ), pp. 496–500.
SAC-2009-OGormanB #correlation: Improving stream correlation attacks on anonymous networks (GO, SB), pp. 2024–2028.
SAC-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.
SAC-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.
SAC-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.
SAC-2009-PereiraTLP: Preservation of ordering in a network of brokers (CMMP, CACT, DCL, MdGCP), pp. 88–89.
SAC-2009-PhilipA #ad hoc #maintenance: Mobility aware path maintenance in ad hoc networks (SJP, VA), pp. 201–206.
SAC-2009-RajgurePBH #clustering #self #transaction: Geographical data collection in sensor networks with self-organizing transaction cluster-heads (NR, EP, CB, SH), pp. 1214–1218.
SAC-2009-ReinkeHNGLL #protocol #standard #transaction: Integrating standardized transaction protocols in service-oriented wireless sensor networks (CR, NH, JN, SG, VL, ML), pp. 2202–2203.
SAC-2009-ShangLL #biology #functional #mining: Mining functional associated patterns from biological network data (XS, ZL, WL), pp. 1488–1489.
SAC-2009-SherminO #using: Using dynamic bayesian networks to infer gene regulatory networks from expression profiles (AS, MAO), pp. 799–803.
SAC-2009-TangCCXHTC #peer-to-peer: Securing key issuing in peer-to-peer networks (CT, RC, ZC, AX, JbH, LT, ZC), pp. 84–85.
SAC-2009-ThirunarayanP #semantics: Semantic information and sensor networks (KT, JP), pp. 1273–1274.
SAC-2009-WanMKJ #communication #detection #email: Link-based event detection in email communication networks (XW, EEM, NK, JJ), pp. 1506–1510.
SAC-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.
SAC-2009-ZaidiBC #protocol #testing: Network protocol interoperability testing based on contextual signatures and passive testing (FZ, EB, ARC), pp. 2–7.
ASPLOS-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.
CASE-2009-AnandMT #automation #evaluation #performance: Performance evaluation of wireless networks for factory automation applications (DMA, JRM, DMT), pp. 340–346.
CASE-2009-FranceschelliGS #distributed #fault: Decentralized fault diagnosis for sensor networks (MF, AG, CS), pp. 334–339.
CASE-2009-GhoshR #design: Sensor network design for smart highways (SG, SR), pp. 353–360.
CASE-2009-HeraguCKM #analysis #retrieval: Analysis of autonomous vehicle storage and retrieval system by open queueing network (SSH, XC, AK, CJM), pp. 455–459.
CASE-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.
CASE-2009-PintoKX #embedded #synthesis: Synthesis of wireless time-triggered embedded networks for networked control systems (AP, RK, SX), pp. 397–402.
CASE-2009-ViswanadhamK #process: Orchestrating a network of activities in the value chain (NV, SK), pp. 501–506.
CASE-2009-ViswanadhamR: Globally integrated manufacturing service networks (NV, NR), pp. 54–58.
DAC-2009-EllithorpeTK #architecture #named #using: Internet-in-a-Box: emulating datacenter network architectures using FPGAs (JDE, ZT, RHK), pp. 880–883.
DAC-2009-FickDHBBS #named #reliability: Vicis: a reliable network for unreliable silicon (DF, AD, JH, VB, DB, DS), pp. 812–817.
DAC-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.
DAC-2009-LiFMSVFPS #hybrid #named: Spectrum: a hybrid nanophotonic-electric on-chip network (ZL, DF, ARM, LS, MV, DF, WP, YS), pp. 575–580.
DAC-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.
DAC-2009-WangCL #satisfiability #scalability #simulation: Simulation and SAT-based Boolean matching for large Boolean networks (KHW, CMC, JCL), pp. 396–401.
DAC-2009-YanW: A correct network flow model for escape routing (TY, MDFW), pp. 332–335.
DATE-2009-0001BW #case study #fault: Error correction in single-hop wireless sensor networks — A case study (DS, MB, NW), pp. 1296–1301.
DATE-2009-ArmengaudS #metric: Remote measurement of local oscillator drifts in FlexRay networks (EA, AS), pp. 1082–1087.
DATE-2009-ConcerIB #algorithm #named #novel: aEqualized: A novel routing algorithm for the Spidergon Network On Chip (NC, SI, LB), pp. 749–754.
DATE-2009-FummiPQA #energy #flexibility #simulation: Flexible energy-aware simulation of heterogenous wireless sensor networks (FF, GP, DQ, AA), pp. 1638–1643.
DATE-2009-GhasemzadehJSJ #communication: Communication minimization for in-network processing in body sensor networks: A buffer assignment technique (HG, NJ, MS, RJ), pp. 358–363.
DATE-2009-HaastregtK #automation #c #hardware #process #streaming #synthesis: Automated synthesis of streaming C applications to process networks in hardware (SvH, BK), pp. 890–893.
DATE-2009-HanssonSG #composition #named #predict: Aelite: A flit-synchronous Network on Chip with composable and predictable services (AH, MS, KG), pp. 250–255.
DATE-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.
DATE-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.
DATE-2009-LoiAB #configuration management #interface #synthesis: Synthesis of low-overhead configurable source routing tables for network interfaces (IL, FA, LB), pp. 262–267.
DATE-2009-LongLFDY #adaptation #clustering #energy: Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks (HL, YL, XF, RPD, HY), pp. 1267–1272.
DATE-2009-ModarressiSA #hybrid: A hybrid packet-circuit switched on-chip network based on SDM (MM, HSA, MA), pp. 566–569.
DATE-2009-MohammadZadehMJZ #multi: Multi-domain clock skew scheduling-aware register placement to optimize clock distribution network (NM, MM, AJ, MSZ), pp. 833–838.
DATE-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.
DATE-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.
DATE-2009-WilleGFDD #debugging: Debugging of Toffoli networks (RW, DG, SF, GWD, RD), pp. 1284–1289.
DATE-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.
HPCA-2009-FidalgoVM #adaptation #multi #named: MRR: Enabling fully adaptive multicast routing for CMP interconnection networks (PAF, VP, JÁG), pp. 355–366.
HPCA-2009-MichelogiannakisBD: Elastic-buffer flow control for on-chip networks (GM, JDB, WJD), pp. 151–162.
HPCA-2009-XuDZZZY #3d #design: A low-radix and low-diameter 3D interconnection network design (YX, YD, BZ, XZ, YZ, JY), pp. 30–42.
PDP-2009-CasconOHDR #concurrent #interface #multi #thread #using: A Multi-Threaded Network Interface Using Network Processors (PC, JO, WMH, AFD, IR), pp. 196–200.
PDP-2009-HatahetCB #detection: BitTorrent Worm Sensor Network : P2P Worms Detection and Containment (SH, YC, AB), pp. 293–300.
PDP-2009-Kotenko #detection #framework: Framework for Integrated Proactive Network Worm Detection and Response (IVK), pp. 379–386.
PDP-2009-MoravejiSZ: A General Methodology for Routing in Irregular Networks (RM, HSA, AYZ), pp. 155–160.
PDP-2009-OrtizODP #communication #interface #performance: A New Offloaded/Onloaded Network Interface for High Performance Communication (AO, JO, AFD, AP), pp. 143–150.
PDP-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.
SOSP-2009-ChenGKLR #fault: Surviving sensor network software faults (YC, OG, MAK, PL, JR), pp. 235–246.
FASE-2009-HermannEE #graph #inheritance #security: Transformation of Type Graphs with Inheritance for Ensuring Security in E-Government Networks (FH, HE, CE), pp. 325–339.
FASE-2009-RajamaniJPR #mobile #nondeterminism #query: Inquiry and Introspection for Non-deterministic Queries in Mobile Networks (VR, CJ, JP, GCR), pp. 401–416.
STOC-2009-GuptaKR #design #online #probability: Online and stochastic survivable network design (AG, RK, RR), pp. 685–694.
STOC-2009-LattanziS: Affiliation networks (SL, DS), pp. 427–434.
CAV-2009-LammichMW #automaton #constraints #set: Predecessor Sets of Dynamic Pushdown Networks with Tree-Regular Constraints (PL, MMO, AW), pp. 525–539.
CAV-2009-PerezRS #abstraction #declarative: Cardinality Abstraction for Declarative Networking Applications (JANP, AR, AS), pp. 584–598.
ICLP-2009-SchaubT #programming #set: Metabolic Network Expansion with Answer Set Programming (TS, ST), pp. 312–326.
SAT-2009-AsinNOR: Cardinality Networks and Their Applications (RA, RN, AO, ERC), pp. 167–180.
TestCom-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.
WICSA-2008-ChoiPN #adaptation #architecture: A Software Architecture for Cross-Layer Wireless Network Adaptations (SHC, DEP, SN), pp. 281–284.
ECDL-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.
HT-2008-Golder #social: Measuring social networks with digital photograph collections (SAG), pp. 43–48.
HT-2008-MarkinesRM #assembly #performance #semantics #social: Efficient assembly of social semantic networks (BM, HR, FM), pp. 149–156.
JCDL-2008-HalbertSW #distributed: Metaarchive/lockss distributed preservation networks (MH, KS, TOW), p. 438.
PODS-2008-SozioNW #peer-to-peer #replication: Near-optimal dynamic replication in unstructured peer-to-peer networks (MS, TN, GW), pp. 281–290.
SIGMOD-2008-ChowMH #monitoring #named #privacy: Tinycasper: a privacy-preserving aggregate location monitoring system in wireless sensor networks (CYC, MFM, TH), pp. 1307–1310.
SIGMOD-2008-JohnsonMSS #clustering #data type #monitoring: Query-aware partitioning for monitoring massive network data streams (TJ, SMM, VS, OS), pp. 1135–1146.
SIGMOD-2008-NakamuraL: Information fusion in wireless sensor networks (EFN, AAFL), pp. 1365–1372.
SIGMOD-2008-SametSA #database #distance #scalability: Scalable network distance browsing in spatial databases (HS, JS, HA), pp. 43–54.
SIGMOD-2008-SunWYCHYZ #mining #named: BibNetMiner: mining bibliographic information networks (YS, TW, ZY, HC, JH, XY, PZ), pp. 1341–1344.
VLDB-2008-Amer-YahiaBLS #collaboration #performance: Efficient network aware search in collaborative tagging sites (SAY, MB, LVSL, JS), pp. 710–721.
VLDB-2008-AvanesF #adaptation #constraints #resource management #scheduling #workflow: Adaptive workflow scheduling under resource allocation constraints and network dynamics (AA, JCF), pp. 1631–1637.
VLDB-2008-CondieCHM #declarative: Evita raced: metacompilation for declarative networks (TC, DC, JMH, PM), pp. 1153–1165.
VLDB-2008-HayMJTW #identification #social: Resisting structural re-identification in anonymized social networks (MH, GM, DJ, DFT, PW), pp. 102–114.
VLDB-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.
ITiCSE-2008-CatuognoS #internet #security: An internet role-game for the laboratory of network security course (LC, ADS), pp. 240–244.
ITiCSE-2008-GoldweberD #named: VDE: an emulation environment for supporting computer networking courses (MG, RD), pp. 138–142.
SIGITE-2008-Abbott-McCuneNGG #configuration management: Developing a reconfigurable network lab (SAM, AJN, JG, BSG), pp. 255–258.
SIGITE-2008-HelpsE #evaluation: Evaluation of a computer networking class in information technology (CRGH, JJE), pp. 259–268.
SIGITE-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.
SIGITE-2008-JovanovicM #assessment: Teachning network storage technology: assessment outcomes and directions (VMJ, TM), pp. 147–152.
WCRE-2008-ZhouWGGL #approach #predict: A Bayesian Network Based Approach for Change Coupling Prediction (YZ, MW, EG, HG, JL), pp. 27–36.
ICALP-A-2008-BorradaileK #graph #problem: The Two-Edge Connectivity Survivable Network Problem in Planar Graphs (GB, PNK), pp. 485–501.
ICALP-A-2008-ChaintreauFL: Networks Become Navigable as Nodes Move and Forget (AC, PF, EL), pp. 133–144.
ICALP-A-2008-IwamaNPRY #linear #polynomial: Polynomial-Time Construction of Linear Network Coding (KI, HN, MP, RR, SY), pp. 271–282.
ICALP-C-2008-KatzKK #complexity: Improving the Round Complexity of VSS in Point-to-Point Networks (JK, CYK, RK), pp. 499–510.
LATA-2008-AlhazovCMR #hybrid: About Universal Hybrid Networks of Evolutionary Processors of Small Size (AA, ECV, CMV, YR), pp. 28–39.
FM-2008-RidgeNS #approach #implementation #protocol: A Rigorous Approach to Networking: TCP, from Implementation to Protocol to Service (TR, MN, PS), pp. 294–309.
ICFP-2008-MainlandMW #functional #named #programming #staged: Flask: staged functional programming for sensor networks (GM, GM, MW), pp. 335–346.
AIIDE-2008-KellyBK #game studies #video: Offline Planning with Hierarchical Task Networks in Video Games (JPK, AB, SK).
CIG-2008-Blair #evaluation #learning #symmetry: Learning position evaluation for Go with Internal Symmetry Networks (AB), pp. 199–204.
CIG-2008-ReederMSGA #composition #game studies: Interactively evolved modular neural networks for game agent control (JR, RM, JS, MG, GCA), pp. 167–174.
CIG-2008-SchaulS #architecture #game studies #scalability: A scalable neural network architecture for board games (TS, JS), pp. 357–364.
CIG-2008-ThompsonL #behaviour: Scaling-up behaviours in EvoTanks: Applying subsumption principles to artificial neural networks (TT, JL), pp. 159–166.
GT-VMT-2008-Gruner #graph transformation #mobile: Graph Transformation Model of a Triangulated Network of Mobile Units (SG).
ICGT-2008-CenciarelliGT #bisimulation #graph: Network Applications of Graph Bisimulation (PC, DG, ET), pp. 131–146.
ICGT-2008-Hammoudeh #clustering #modelling: Modelling Clustering of Sensor Networks with Synchronised Hyperedge Replacement (MH), pp. 490–492.
ICGT-2008-Khan #analysis #configuration management #graph transformation #modelling #using: Model-Based Analysis of Network Reconfigurations Using Graph Transformation Systems (AK), pp. 502–504.
CHI-2008-BrzozowskiHS #social: Friends and foes: ideological social networking (MJB, TH, GS), pp. 817–820.
CHI-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.
CHI-2008-GuyJSMSF #social: Harvesting with SONAR: the value of aggregating social network information (IG, MJ, ES, NM, VS, SF), pp. 1017–1026.
CSCW-2008-BrownHIPB #social: Social networks and context-aware spam (GB, TH, MI, AP, KB), pp. 403–412.
CSCW-2008-CataldoH #communication #development #distributed: Communication networks in geographically distributed software development (MC, JDH), pp. 579–588.
CSCW-2008-ChungH #distributed: Network structure, position, ties and ICT use in distributed knowledge-intensive work (KSKC, LH), pp. 545–554.
CSCW-2008-DiMiccoMGDBM #social: Motivations for social networking at work (JMD, DRM, WG, CD, BB, MJM), pp. 711–720.
CSCW-2008-GuyJMRS #email #social: Public vs. private: comparing public social network information with email (IG, MJ, NM, IR, ES), pp. 393–402.
CSCW-2008-KimKPA #social: Are you sleeping?: sharing portrayed sleeping status within a social network (SK, JAK, SNP, GDA), pp. 619–628.
CSCW-2008-LiaoL #design #effectiveness #user interface: Network patterns: designing effective user interfaces for connections management at work (QL, QL), pp. 707–710.
CSCW-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.
ICEIS-AIDSS-2008-AjroudOBY #algorithm #approximate: An Approximate Propagation Algorithm for Product-Based Possibilistic Networks (AA, MNO, SB, HY), pp. 321–326.
ICEIS-AIDSS-2008-ErmilovaA #collaboration: Managing Characteristic Organization Knowledge in Collaborative Networks (EE, HA), pp. 313–320.
ICEIS-AIDSS-2008-Nachev #using: Forecasting with ARTMAP-IC Neural Networks — An Application Using Corporate Bankruptcy Data (AN), pp. 167–172.
ICEIS-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.
ICEIS-DISI-2008-Cardoso: Service Engineering for Future Business Value Networks (JC), pp. 15–20.
ICEIS-DISI-2008-PetersTW #enterprise #research #resource management #roadmap: Network Externalities for Enterprise Resource Planning Software — A Research Roadmap (GP, FT, RW), pp. 97–104.
ICEIS-HCI-2008-GeczyIAH #behaviour #enterprise #information management: Complex User Behavioral Networks at Enterprise Information Systems (PG, NI, SA, KH), pp. 233–239.
ICEIS-ISAS2-2008-NgoWL #authentication: A Group Authentication Model for Wireless Network Services Based on Group Key Management (HHN, XW, PDL), pp. 182–188.
ICEIS-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.
ICEIS-SAIC-2008-DoshiP #process: Trusted Information Processes in B2B Networks (CD, LP), pp. 37–44.
ICEIS-SAIC-2008-ThimmTR: Partner Selection for Virtual Organization — Supporting the Moderator in Business Networks (HT, KT, KBR), pp. 119–126.
CIKM-2008-ChoudhurySJS #multi #social: Multi-scale characterization of social network dynamics in the blogosphere (MDC, HS, AJ, DDS), pp. 1515–1516.
CIKM-2008-DuWW #community #detection: Overlapping community structure detection in networks (ND, BW, BW), pp. 1371–1372.
CIKM-2008-KorolovaMNX #privacy #social: Link privacy in social networks (AK, RM, SUN, YX), pp. 289–298.
CIKM-2008-LeeLZ #framework #named #performance #query: ROAD: an efficient framework for location dependent spatial queries on road networks (KCKL, WCL, BZ), pp. 1327–1328.
CIKM-2008-LiangCY #energy #maintenance #query: Energy-efficient skyline query processing and maintenance in sensor networks (WL, BC, JXY), pp. 1471–1472.
CIKM-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.
CIKM-2008-MaYLK #mining #process #social #using: Mining social networks using heat diffusion processes for marketing candidates selection (HM, HY, MRL, IK), pp. 233–242.
CIKM-2008-NguyenYF #adaptation #distributed #peer-to-peer: Adaptive distributed indexing for structured peer-to-peer networks (LTN, WGY, OF), pp. 1241–1250.
CIKM-2008-QuMG #semantics #using: Using tag semantic network for keyphrase extraction in blogs (LQ, CM, IG), pp. 1381–1382.
CIKM-2008-WangLCLO #semantics: Speed up semantic search in p2p networks (QW, RL, LC, JL, MTÖ), pp. 1341–1342.
CIKM-2008-ZhaoBZY #community #predict: Characterizing and predicting community members from evolutionary and heterogeneous networks (QZ, SSB, XZ, KY), pp. 309–318.
ECIR-2008-HuangBCQ #image #retrieval #using #web: Improving Web Image Retrieval Using Image Annotations and Inference Network (PH, JB, CC, GQ), pp. 617–621.
ECIR-2008-LinC #category theory #evolution #social: Labeling Categories and Relationships in an Evolving Social Network (MSL, HHC), pp. 77–88.
ECIR-2008-RaftopoulouP #clustering #information retrieval #named #self: iCluster: A Self-organizing Overlay Network for P2P Information Retrieval (PR, EGMP), pp. 65–76.
ICML-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.
ICML-2008-HuynhM #learning #logic #markov #parametricity: Discriminative structure and parameter learning for Markov logic networks (TNH, RJM), pp. 416–423.
ICML-2008-MakinoT #online: On-line discovery of temporal-difference networks (TM, TT), pp. 632–639.
ICML-2008-RanzatoS #documentation #learning: Semi-supervised learning of compact document representations with deep networks (MR, MS), pp. 792–799.
ICML-2008-SalakhutdinovM #analysis #on the: On the quantitative analysis of deep belief networks (RS, IM), pp. 872–879.
ICML-2008-SuZLM #learning #parametricity: Discriminative parameter learning for Bayesian networks (JS, HZ, CXL, SM), pp. 1016–1023.
ICML-2008-ZhuXZ #markov: Laplace maximum margin Markov networks (JZ, EPX, BZ), pp. 1256–1263.
ICPR-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.
ICPR-2008-CamposJ #constraints #learning #parametricity #using: Improving Bayesian Network parameter learning using constraints (CPdC, QJ), pp. 1–4.
ICPR-2008-ChangIB: Shapes to synchronize camera networks (RC, SHI, RB), pp. 1–4.
ICPR-2008-KiranyazTYG #design #multi #optimisation: Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization (SK, TI, EAY, MG), pp. 1–4.
ICPR-2008-LiaoJ #learning #parametricity #semistructured data: Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data (WL, QJ), pp. 1–4.
ICPR-2008-OkadaH #incremental #recognition #self: Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network (SO, OH), pp. 1–4.
ICPR-2008-ParkL #modelling: Face modeling and tracking with Gabor Wavelet Network prior (MP, SL), pp. 1–4.
ICPR-2008-SrihariNNL #clique #detection: Detecting hubs and quasi cliques in scale-free networks (SS, HKN, KN, HWL), pp. 1–4.
ICPR-2008-SukSL #gesture #modelling #recognition #robust: Robust modeling and recognition of hand gestures with dynamic Bayesian network (HIS, BKS, SWL), pp. 1–4.
ICPR-2008-SunQ #classification: Dynamic target classification in wireless sensor networks (YS, HQ), pp. 1–4.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-2008-YangQ #analysis #component #detection #independence #using: A network intrusion detection method using independent component analysis (DY, HQ), pp. 1–4.
KDD-2008-AnagnostopoulosKM #correlation #social: Influence and correlation in social networks (AA, RK, MM), pp. 7–15.
KDD-2008-ChoRC #data mining #identification #mining: Reconstructing chemical reaction networks: data mining meets system identification (YJC, NR, YC), pp. 142–150.
KDD-2008-GallagherTEF #classification #using: Using ghost edges for classification in sparsely labeled networks (BG, HT, TER, CF), pp. 256–264.
KDD-2008-KossinetsKW #communication #social: The structure of information pathways in a social communication network (GK, JMK, DJW), pp. 435–443.
KDD-2008-KumarTFJKLT #social: Social networks: looking ahead (RK, AT, CF, DJ, GK, JL, AT), p. 1060.
KDD-2008-LeskovecBKT #evolution #social: Microscopic evolution of social networks (JL, LB, RK, AT), pp. 462–470.
KDD-2008-MeloAL #behaviour #metric #predict #question: Can complex network metrics predict the behavior of NBA teams? (POSVdM, VAFA, AAFL), pp. 695–703.
KDD-2008-TangLZN #community #evolution #multi: Community evolution in dynamic multi-mode networks (LT, HL, JZ, ZN), pp. 677–685.
KDD-2008-TangZYLZS #mining #named #social: ArnetMiner: extraction and mining of academic social networks (JT, JZ, LY, JL, LZ, ZS), pp. 990–998.
RecSys-2008-LathiaHC #social: kNN CF: a temporal social network (NL, SH, LC), pp. 227–234.
RecSys-2008-Sampaio #internet #performance #process #recommendation: A network performance recommendation process for advanced internet applications users (LNS), pp. 315–318.
RecSys-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.
SEKE-2008-CemerlicYK #detection: Network Intrusion Detection Based on Bayesian Networks (AC, LY, JMK), pp. 791–794.
SEKE-2008-XuSW #adaptation #fault #predict: An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction (ZX, NS, WW), pp. 79–84.
SIGIR-2008-SchenkelCKMNPW #performance #query: Efficient top-k querying over social-tagging networks (RS, TC, MK, SM, TN, JXP, GW), pp. 523–530.
MoDELS-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.
MoDELS-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.
PLDI-2008-McCamantE #capacity #data flow: Quantitative information flow as network flow capacity (SM, MDE), pp. 193–205.
RE-2008-MarczakDSS #social: Information Brokers in Requirement-Dependency Social Networks (SM, DD, US, AS), pp. 53–62.
ASE-2008-ShevertalovM #automation #case study #composition: A Case Study on the Automatic Composition of Network Application Mashups (MS, SM), pp. 359–362.
FSE-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.
FSE-2008-MeneelyWSO #analysis #developer #predict #social: Predicting failures with developer networks and social network analysis (AM, LW, WS, JAO), pp. 13–23.
FSE-2008-PinzgerNM #developer #predict #question: Can developer-module networks predict failures? (MP, NN, BM), pp. 2–12.
ICSE-2008-ReichertKSMH #analysis #protocol: A language for advanced protocol analysis in automotive networks (TR, EK, WS, AM, DH), pp. 593–602.
ICSE-2008-SiebraCSS #concept #process #testing: Improving the handsets network test process via DMAIC concepts (CdS, PHRC, ALMS, FQBdS), pp. 733–740.
ICSE-2008-ZimmermannN #analysis #dependence #fault #graph #predict #using: Predicting defects using network analysis on dependency graphs (TZ, NN), pp. 531–540.
SAC-2008-AquinoFNFLF #clustering #reduction: Sensor stream reduction for clustered wireless sensor networks (ALLdA, CMSF, EFN, ACF, AAFL, AOF), pp. 2052–2056.
SAC-2008-BartakC #recognition: Nested temporal networks with alternatives: recognition and tractability (RB, OC), pp. 156–157.
SAC-2008-BistarelliS #multi #trust: Propagating multitrust within trust networks (SB, FS), pp. 1990–1994.
SAC-2008-CardenasG #architecture #comparison #performance: Performance comparison of Flow Aware Networking (FAN) architectures under GridFTP traffic (CC, MG), pp. 2079–2084.
SAC-2008-CastroS #image #multi: Restoring images with a multiscale neural network based technique (APAdC, JDSdS), pp. 1693–1697.
SAC-2008-ChidlovskiiL #dependence #documentation #layout: Stacked dependency networks for layout document structuring (BC, LL), pp. 424–428.
SAC-2008-ChongKLG #energy #using: Using association rules for energy conservation in wireless sensor networks (SKC, SK, SWL, MMG), pp. 971–975.
SAC-2008-CorreaLSM #composition #learning: Neural network based systems for computer-aided musical composition: supervised x unsupervised learning (DCC, ALML, JHS, JFM), pp. 1738–1742.
SAC-2008-FlhoME #development #mobile: Supporting the development of context-aware agent-based systems for mobile networks (JVF, MAdGM, ME), pp. 1872–1873.
SAC-2008-FreireVMP: Track on Computer Networks: editorial message (MMF, TV, EM, MP), p. 2040.
SAC-2008-FreryRNN #estimation #fault: Error estimation in wireless sensor networks (ACF, HSR, JAN, EFN), pp. 1923–1928.
SAC-2008-GennaroMOR #peer-to-peer #query #similarity: Processing complex similarity queries in peer-to-peer networks (CG, MM, SO, FR), pp. 473–478.
SAC-2008-KimKL #framework #middleware #named #platform: COSMOS: a middleware platform for sensor networks and a u-healthcare service (YBK, MK, YJL), pp. 512–513.
SAC-2008-LeoneS #clustering #process #scalability: Interacting urns processes: for clustering of large-scale networks of tiny artifacts (PL, EMS), pp. 2046–2051.
SAC-2008-LiG #detection #optimisation #using: TCM-KNN scheme for network anomaly detection using feature-based optimizations (YL, LG), pp. 2103–2109.
SAC-2008-LoTP #detection #hardware #implementation #regular expression: Hardware implementation for network intrusion detection rules with regular expression support (CTDL, YGT, KP), pp. 1535–1539.
SAC-2008-MartinottoJCGDP #generative #random: Generation of continuous random networks by simulated annealing (ALM, FJ, LAC, VG, RVD, CAP), pp. 48–49.
SAC-2008-MowatSSC #approximate #peer-to-peer: Extending peer-to-peer networks for approximate search (AM, RS, MS, IC), pp. 455–459.
SAC-2008-ReitbauerKEMA #process: Redesigning business networks: reference process, network and service map (SR, FK, CE, KM, RA), pp. 540–547.
SAC-2008-RezendeRL #ad hoc #architecture #mobile: Publish/subscribe architecture for mobile ad hoc networks (CGR, BPSR, AAFL), pp. 1913–1917.
SAC-2008-Rodriguez-PerezEM #framework #named: Surework: a super-peer reputation framework for p2p networks (MRP, OE, JLM), pp. 2019–2023.
SAC-2008-SalesAP #on the #performance: On the performance of TCP, UDP and DCCP over 802.11 g networks (LMdS, HOdA, AP), pp. 2074–2078.
SAC-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.
SAC-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.
SAC-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.
SAC-2008-ShiguemoriVS #approach #retrieval: Atmospheric temperature retrieval from satellite data: new non-extensive artificial neural network approach (EHS, HFdCV, JDSdS), pp. 1688–1692.
SAC-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.
SAC-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.
SAC-2008-TiakasPNM #estimation: Selectivity estimation in spatial networks (ET, ANP, AN, YM), pp. 852–856.
SAC-2008-WeiMZL #realtime: A bandwidth management scheme support for real-time applications in wireless mesh networks (YW, RM, TZ, XL), pp. 2063–2068.
SAC-2008-YeLC #adaptation #mobile: Adaptive caching with heterogeneous devices in mobile peer to peer network (FY, QL, EC), pp. 1897–1901.
SAC-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.
CASE-2008-AsarUAH #generative: Traffic responsive signal timing plan generation based on neural network (AuA, MSU, JA, RuH), pp. 833–838.
CASE-2008-BiasiSLI #process #simulation: Simulation of process control with WirelessHART networks subject to packet losses (MDB, CS, KL, AJI), pp. 548–553.
CASE-2008-HanX #identification #multi #using: Nonlinear systems identification using dynamic multi-time scales neural networks (XH, WFX), pp. 448–453.
CASE-2008-HoshinoFS #pipes and filters #scheduling: Integrated scheduling for gasoline blending considering storage tanks and pipe network (SH, NF, HS), pp. 784–789.
CASE-2008-LiMAM #multi #scheduling: Low-complexity Channel-Aware Scheduling for multichannel wireless local area networks (YL, SM, PA, SFM), pp. 133–138.
CASE-2008-LiuWZ #detection #multi: Cooperative multipath routing and relay based on noncoherent detection in wireless sensor networks (LL, ZW, MZ), pp. 128–132.
CASE-2008-LiYB #multi: Neural network based path planning for a multi-robot system with moving obstacles (HL, SXY, YB), pp. 163–168.
CASE-2008-NixonCBM #performance: Meeting control performance over a wireless mesh network (MN, DC, TB, AKM), pp. 540–547.
CASE-2008-PanMI: Electrostatic torsional micromirror: Its active control and applications in optical network (YJP, YM, SI), pp. 151–156.
CASE-2008-ParkDB #collaboration #energy #performance #reduction: Collaborative data reduction for energy efficient sensor networks (CP, YD, EB), pp. 442–447.
CASE-2008-PonnambalamPMS #using: Modified ART1 neural networks for cell formation using production data (SGP, RSP, SSM, SS), pp. 603–608.
CASE-2008-SchiffKBDASG #mobile #navigation: Actuator networks for navigating an unmonitored mobile robot (JS, APK, DB, VD, RA, DS, KG), pp. 53–60.
CASE-2008-StabelliniZ #approach #learning #self: Interference aware self-organization for wireless sensor networks: A reinforcement learning approach (LS, JZ), pp. 560–565.
DAC-2008-BalkanQV #hybrid #parallel: An area-efficient high-throughput hybrid interconnection network for single-chip parallel processing (AOB, GQ, UV), pp. 435–440.
DAC-2008-HsuW #algorithm #memory management #power management: A generalized network flow based algorithm for power-aware FPGA memory mapping (TYH, TCW), pp. 30–33.
DAC-2008-LukasiewyczGHTRL #concurrent #integration #optimisation: Concurrent topology and routing optimization in automotive network integration (ML, MG, CH, JT, RR, BL), pp. 626–629.
DAC-2008-MoussaBJ #flexibility #multi: Binary de Bruijn on-chip network for a flexible multiprocessor LDPC decoder (HM, AB, MJ), pp. 429–434.
DAC-2008-NieuwoudtKM #automation #configuration management #design: Automated design of tunable impedance matching networks for reconfigurable wireless applications (AN, JK, YM), pp. 498–503.
DAC-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.
DATE-2008-AsianVR #implementation: Practical Implementation of a Network Analyzer for Analog BIST Applications (MJBA, DV, AR), pp. 80–85.
DATE-2008-BuboltzK: Front End Device for Content Networking (JB, TK), pp. 1456–1461.
DATE-2008-CongX: Simultaneous FU and Register Binding Based on Network Flow Method (JC, JX), pp. 1057–1062.
DATE-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.
DATE-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.
DATE-2008-FarahaniFS #architecture #scalability #using: Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence (AFF, SMF, SS), pp. 1340–1345.
DATE-2008-GlassLRHT #analysis #optimisation #reliability: Symbolic Reliability Analysis and Optimization of ECU Networks (MG, ML, FR, CH, JT), pp. 158–163.
DATE-2008-HooverB: Synthesizing Synchronous Elastic Flow Networks (GH, FB), pp. 306–311.
DATE-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.
DATE-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.
DATE-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.
HPDC-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.
HPDC-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.
HPDC-2008-ShafaatSMHGR #consistency: Key-based consistency and availability in structured overlay networks (TMS, TS, MM, SH, AG, AR), pp. 235–236.
HPDC-2008-WangWG #named #performance: XenLoop: a transparent high performance inter-vm network loopback (JW, KLW, KG), pp. 109–118.
OSDI-2008-ChenZMB #automation #case study #dependence #experience: Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions (XC, MZ, ZMM, PB), pp. 117–130.
OSDI-2008-JainMKYDZ #consistency #metric #monitoring #scalability: Network Imprecision: A New Consistency Metric for Scalable Monitoring (NJ, PM, DK, PY, MD, YZ), pp. 87–102.
PDP-2008-CasaleCT #estimation #modelling #performance #robust: Robust Workload Estimation in Queueing Network Performance Models (GC, PC, RT), pp. 183–187.
PDP-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.
PDP-2008-DinhLTM #distributed #scalability #simulation: Large Scale Distributed Simulation of p2p Networks (TTAD, ML, GKT, RM), pp. 499–507.
PDP-2008-LeiZGZ #architecture #named #thread: MEANS: A Micro-thrEad Architecture for Network Server (YL, WZ, YG, HZ), pp. 38–42.
PDP-2008-LouatiZ #using: Personal Overlay Networks Management Using a P2P-based Publish/Subscribe Naming System (WL, DZ), pp. 95–99.
PDP-2008-Martinez-YelmoCGM #performance: Routing Performance in a Hierarchical DHT-based Overlay Network (IMY, RCR, CG, AM), pp. 508–515.
PDP-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.
PDP-2008-OrtizODP #comparison #interface: Comparison of Onloading and Offloading Strategies to Improve Network Interfaces (AO, JO, AFD, AP), pp. 253–260.
PDP-2008-PerezCG: Building and Managing Policy-Based Secure Overlay Networks (GMP, FJGC, AFGS), pp. 597–603.
PDP-2008-RequenaGLD: Exploiting Wiring Resources on Interconnection Network: Increasing Path Diversity (CGR, MEG, PL, JD), pp. 20–29.
STOC-2008-BansalKN #bound #design: Additive guarantees for degree bounded directed network design (NB, RK, VN), pp. 769–778.
STOC-2008-ChakrabortyCK #design: Network design for vertex connectivity (TC, JC, SK), pp. 167–176.
STOC-2008-KleinbergT #social: Balanced outcomes in social exchange networks (JMK, ÉT), pp. 295–304.
STOC-2008-LauS #approximate #bound #design: Additive approximation for bounded degree survivable network design (LCL, MS), pp. 759–768.
STOC-2008-Racke: Optimal hierarchical decompositions for congestion minimization in networks (HR), pp. 255–264.
ICLP-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.
TestCom-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.
TestCom-FATES-2008-Yasuda #development: All-IP Based Ultra 3G Network/Service Development in a Competitive Market (YY), pp. 1–4.
VMCAI-2008-DanosFFK #abstract interpretation: Abstract Interpretation of Cellular Signalling Networks (VD, JF, WF, JK), pp. 83–97.
ECSA-2007-LosillaVAIS #approach #architecture #development: Wireless Sensor Network Application Development: An Architecture-Centric MDE Approach (FL, CVC, BÁ, AI, PS), pp. 179–194.
DRR-2007-Likforman-SulemS #recognition #using: Recognition of degraded handwritten digits using dynamic Bayesian networks (LLS, MS).
ECDL-2007-BernareggiD #named #speech: aScience: A Thematic Network on Speech and Tactile Accessibility to Scientific Digital Resources (CB, GCD), pp. 515–517.
ECDL-2007-HessR #documentation #nondeterminism: A Model of Uncertainty for Near-Duplicates in Document Reference Networks (CH, MdR), pp. 449–453.
ECDL-2007-MezSG #library #named: EOD — European Network of Libraries for eBooks on Demand (ZM, SS, SG), pp. 570–572.
HT-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.
ICDAR-2007-CheikhK #recognition: Neural Network for the Recognition of Handwritten Tunisian City Names (IBC, AK), pp. 1108–1112.
ICDAR-2007-Likforman-SulemS #recognition #using: Recognition of Broken Characters from Historical Printed Books Using Dynamic Bayesian Networks (LLS, MS), pp. 173–177.
ICDAR-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.
ICDAR-2007-WillemsV #approach #detection #interactive: A Bayesian Network Approach to Mode Detection for Interactive Maps (DW, LV), pp. 869–873.
JCDL-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.
JCDL-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.
JCDL-2007-ShevadeSX #image #modelling #social: Modeling personal and social network context for event annotation in images (BS, HS, LX), pp. 127–134.
SIGMOD-2007-MullerRDAK #flexibility #framework #platform: A dynamic and flexible sensor network platform (RM, JSR, MD, GA, DK), pp. 1085–1087.
SIGMOD-2007-YangLOT #execution #monitoring #query: In-network execution of monitoring queries in sensor networks (XY, HBL, MTÖ, KLT), pp. 521–532.
VLDB-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.
VLDB-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.
ITiCSE-2007-AlstesL #learning #named #online #programming: VERKKOKE: learning routing and network programming online (AA, JL), pp. 91–95.
ITiCSE-2007-GoldwasserL #programming: Introducing network programming into a CS1 course (MHG, DL), pp. 19–22.
ITiCSE-2007-Pullen: Network educationware demonstration (JMP), p. 355.
SIGITE-2007-AlbeeCMTW #student: A student-managed networking laboratory (PBA, LAC, MAM, CMT, JLW), pp. 67–74.
SIGITE-2007-ArmitageGR: Remotely accessible sandboxed environment with application to a laboratory course in networking (WDA, AG, MR), pp. 83–90.
SIGITE-2007-Frye #education #learning: Wireless sensor networks: learning and teaching (LMF), pp. 269–270.
SIGITE-2007-GerdesT #concept #overview: A conceptual overview of the virtual networking laboratory (JGJ, SRT), pp. 75–82.
SIGITE-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.
ICPC-2007-MirarabHT #co-evolution #predict #using: Using Bayesian Belief Networks to Predict Change Propagation in Software Systems (SM, AH, LT), pp. 177–188.
ICALP-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.
LATA-2007-AlhazovMR #predict: Networks of Evolutionary Processors with Two Nodes Are Unpredictable (AA, CMV, YR), pp. 521–528.
LATA-2007-Domosi #automaton: Automata Networks without any Letichevsky Criteria (PD), pp. 237–248.
LATA-2007-Komendantskaya #deduction #first-order: First-order deduction in neural networks (EK), pp. 307–318.
IFM-2007-FehnkerHM #modelling #protocol #verification: Modelling and Verification of the LMAC Protocol for Wireless Sensor Networks (AF, LvH, AM), pp. 253–272.
IFM-2007-SalaunKLM #automaton: Translating FSP into LOTOS and Networks of Automata (GS, JK, FL, JM), pp. 558–578.
SFM-2007-BalsamoM: Queueing Networks (SB, AM), pp. 34–82.
ILC-2007-AkashiTFHS #framework #lisp #platform: Lisp-based agent platform and applications for inter-domain network management (OA, AT, KF, TH, TS), p. 14.
ILC-2007-GencerGT #analysis #lisp #named #social: CL-SNA: social network analysis with Lisp (MG, CG, VST), p. 17.
CIG-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.
CIG-2007-ParkerP #evolution #multi: The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents (MP, GBP), pp. 232–237.
CIG-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.
DiGRA-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).
CHI-2007-LampeES #online #social: A familiar face(book): profile elements as signals in an online social network (CL, NBE, CS), pp. 435–444.
CHI-2007-ShehanE #human-computer #question #what: Home networking and HCI: what hath god wrought? (ES, WKE), pp. 547–556.
HCI-AS-2007-LeeNB #monitoring #reliability #using: Personal Life Logger and Belonging Monitor Using Reliable ZigBee Networks (KL, KN, CB), pp. 961–970.
HCI-AS-2007-LiYG #classification #realtime #towards: Traffic Classification — Towards Accurate Real Time Network Applications (ZL, RY, XG), pp. 67–76.
HCI-IPT-2007-ChoiY #multi #named: MKPS: A Multi-level Key Pre-distribution Scheme for Secure Wireless Sensor Networks (SJC, HYY), pp. 808–817.
HCI-IPT-2007-UedaMCSKMK #interactive #ubiquitous: Human-Robot Interaction in the Home Ubiquitous Network Environment (HU, MM, MC, JS, AK, KM, MK), pp. 990–997.
HCI-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.
HCI-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.
HCI-MIE-2007-KimSK #using: Emotion-Based Textile Indexing Using Neural Networks (NYK, YS, EYK), pp. 349–357.
HIMI-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.
HIMI-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.
HIMI-IIE-2007-ZimolongK #workflow: A Workflow Based Management System for Virtual Teams in Production Networks (BZ, BK), pp. 1004–1009.
HIMI-MTT-2007-AblassmeierPRR #using: Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks (MA, TP, SR, GR), pp. 561–570.
HIMI-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.
HIMI-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.
HIMI-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.
OCSC-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.
OCSC-2007-KanawatiM #approach #information management #social: Computing Social Networks for Information Sharing: A Case-Based Approach (RK, MM), pp. 86–95.
OCSC-2007-MorrisonG #interactive #named #social #visualisation: ConnectDots: Visualizing Social Network Interaction for Improved Social Decision Making (DM, BG), pp. 134–140.
OCSC-2007-SagaT #ranking #social: Ranking Method for Mediators in Social Network (RS, HT), pp. 151–159.
OCSC-2007-ZhangYAQ #named #social #tool support: SISN: A Toolkit for Augmenting Expertise Sharing Via Social Networks (JZ, YY, MSA, YQ), pp. 491–500.
EDOC-2007-ChenAQH #security #self: Self-Configuration of Network Security (HC, YBAN, GQ, SH), pp. 97–110.
ICEIS-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.
ICEIS-AIDSS-2007-MartinLGM: Applying Integrated Expert System in Network Management (AM, CL, JIG, FJM), pp. 101–106.
ICEIS-AIDSS-2007-SkaruzSB #approach #detection #sql: Recurrent Neural Networks Approach to The Detection of SQL Attacks (JS, FS, PB), pp. 191–197.
ICEIS-DISI-2007-PapatheocharousA #estimation #using: Software cost estimation using artificial neural networks with inputs selection (EP, ASA), pp. 398–407.
ICEIS-EIS-2007-KarnouskosS #enterprise #towards #using: Towards Enterprise Applications Using Wireless Sensor Networks (SK, PS), pp. 230–236.
ICEIS-EIS-2007-SilvaMA #collaboration #enterprise: Conflict Resolution in Collaborative Network Enterprises (SAdS, PM, PA), pp. 329–333.
ICEIS-HCI-2007-ChungH #performance #social: The Effect of ICT Enabled Social Networks on Performance (KSKC, LH), pp. 105–110.
CIKM-2007-FortunaRM #analysis #classification #social: Improving the classification of newsgroup messages through social network analysis (BF, EMR, NMF), pp. 877–880.
CIKM-2007-FuPL #optimisation #parallel #query: Optimizing parallel itineraries for knn query processing in wireless sensor networks (TYF, WCP, WCL), pp. 391–400.
CIKM-2007-LiuTZ #learning: Ensembling Bayesian network structure learning on limited data (FL, FT, QZ), pp. 927–930.
CIKM-2007-NamataSGS #approach #interactive #visualisation: A dual-view approach to interactive network visualization (GN, BS, LG, BS), pp. 939–942.
CIKM-2007-RaoCFB #analysis #peer-to-peer: Optimal proactive caching in peer-to-peer network: analysis and application (WR, LC, AWCF, YB), pp. 663–672.
CIKM-2007-VieiraFDGRR #performance #ranking #social: Efficient search ranking in social networks (MVV, BMF, RD, PBG, DdCR, BARN), pp. 563–572.
ECIR-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.
ECIR-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.
ECIR-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.
ICML-2007-GuoHFX #approach #modelling: Recovering temporally rewiring networks: a model-based approach (FG, SH, WF, EPX), pp. 321–328.
ICML-2007-Jaeger #learning #parametricity #relational: Parameter learning for relational Bayesian networks (MJ), pp. 369–376.
ICML-2007-MihalkovaM #bottom-up #learning #logic #markov: Bottom-up learning of Markov logic network structure (LM, RJM), pp. 625–632.
ICML-2007-RattiganMJ #clustering #graph: Graph clustering with network structure indices (MJR, MEM, DJ), pp. 783–790.
ICML-2007-TitovH #incremental #predict: Incremental Bayesian networks for structure prediction (IT, JH), pp. 887–894.
KDD-2007-Kleinberg #challenge #mining #privacy #process #social: Challenges in mining social network data: processes, privacy, and paradoxes (JMK), pp. 4–5.
KDD-2007-LeskovecKGFVG #detection #effectiveness: Cost-effective outbreak detection in networks (JL, AK, CG, CF, JMV, NSG), pp. 420–429.
KDD-2007-LuoXLS #classification #distributed #peer-to-peer: Distributed classification in peer-to-peer networks (PL, HX, KL, ZS), pp. 968–976.
KDD-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.
KDD-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.
KDD-2007-ShigaTM #approach #clustering #composition: A spectral clustering approach to optimally combining numericalvectors with a modular network (MS, IT, HM), pp. 647–656.
KDD-2007-TandonC #detection #validation: Weighting versus pruning in rule validation for detecting network and host anomalies (GT, PKC), pp. 697–706.
KDD-2007-TantipathananandhBK #community #framework #identification #social: A framework for community identification in dynamic social networks (CT, TYBW, DK), pp. 717–726.
KDD-2007-XuYFS #algorithm #clustering #named: SCAN: a structural clustering algorithm for networks (XX, NY, ZF, TAJS), pp. 824–833.
KDD-2007-ZhaoDZ #mining: Mining complex power networks for blackout prevention (JHZ, ZYD, PZ), pp. 986–994.
MLDM-2007-AriuGP #markov #modelling: Sensing Attacks in Computers Networks with Hidden Markov Models (DA, GG, RP), pp. 449–463.
MLDM-2007-Holness: A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data (GH), pp. 601–615.
SEKE-2007-AmouiST #predict #using: Temporal Software Change Prediction Using Neural Networks (MA, MS, LT), pp. 380–385.
SEKE-2007-WeiAZ #effectiveness #framework #validation: Validating A Layered Decision Framework for Cost-Effective Network Defense (HW, JAF, DZ), pp. 105–110.
SEKE-2007-WongZQCD #effectiveness #fault #locality #using: Effective Fault Localization using BP Neural Networks (WEW, LZ, YQ, KYC, JD), pp. 374–379.
SIGIR-2007-MizzaroR #analysis #evaluation #information retrieval: Hits hits TREC: exploring IR evaluation results with network analysis (SM, SR), pp. 479–486.
SIGIR-2007-TurunenK #documentation #retrieval: Indexing confusion networks for morph-based spoken document retrieval (VTT, MK), pp. 631–638.
AdaEurope-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.
PLDI-2007-KothariGMG #abstraction #performance #programming #reliability: Reliable and efficient programming abstractions for wireless sensor networks (NK, RG, TDM, RG), pp. 200–210.
PLDI-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.
PLDI-2007-LiZYZ #compilation #energy #named #performance: UCC: update-conscious compilation for energy efficiency in wireless sensor networks (WL, YZ, JY, JZ), pp. 383–393.
QAPL-2007-Argent-KatwalaB #behaviour: PEPA Queues: Capturing Customer Behaviour in Queueing Networks (AAK, JTB), pp. 3–25.
SIGAda-2007-CarlisleB #ada #c: Timing neural networks in C and ada (MCC, LCBI), pp. 71–74.
RE-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.
RE-2007-Fricker #social #using: Explaining Stakeholder Negotiation Using Social Goal Networks (SF), pp. 387–388.
ESEC-FSE-2007-Hanna #implementation #lightweight #named #protocol #security #verification: SLEDE: lightweight verification of sensor network security protocol implementations (YH), pp. 591–594.
SAC-2007-AlbertiniM #detection #self: A self-organizing neural network for detecting novelties (MKA, RFdM), pp. 462–466.
SAC-2007-BatistaFM #grid #set: A set of schedulers for grid networks (DMB, NLSdF, FKM), pp. 209–213.
SAC-2007-CheliusFF #development #framework #named #performance: Worldsens: a fast and accurate development framework for sensor network applications (GC, AF, EF), pp. 222–226.
SAC-2007-CostaSAA #peer-to-peer: Fighting pollution dissemination in peer-to-peer networks (CPC, VS, JMA, VA), pp. 1586–1590.
SAC-2007-FurtadoMCM #modelling #simulation #social: A crime simulation model based on social networks and swarm intelligence (VF, AM, ALVC, RM), pp. 56–57.
SAC-2007-HuangHYCK #named #operating system: LA-TinyOS: a locality-aware operating system for wireless sensor networks (TYH, KYH, HYY, ETHC, CTK), pp. 1151–1158.
SAC-2007-JinM #scheduling: An analytical model for generalized processor sharing scheduling with heterogeneous network traffic (XJ, GM), pp. 198–202.
SAC-2007-JunJ #ad hoc #automation #mobile #protocol: Automated routing protocol selection in mobile ad hoc networks (TJ, CJ), pp. 906–913.
SAC-2007-KanzakiHN #ad hoc #mobile #performance #protocol: An efficient TDMA slot assignment protocol in mobile ad hoc networks (AK, TH, SN), pp. 891–895.
SAC-2007-KimVH #coordination #scalability: Scalable coordination for sensor networks in challenging environments (SK, VV, KH), pp. 214–221.
SAC-2007-LeeKS #scheduling: A fair scheduling scheme for a time-sensitive traffic over the dual-channel wireless network (JL, MK, AS), pp. 1131–1135.
SAC-2007-LimaC #ad hoc #corba #framework: A framework for CORBA interoperability in ad hoc networks (LAPLJ, AC), pp. 930–934.
SAC-2007-LimaSC #estimation #metric #multi: Enhancing QoS metrics estimation in multiclass networks (SRL, PNMdS, PC), pp. 227–231.
SAC-2007-LiYAZ #metric: Finding hierarchical heavy hitters in network measurement system (YL, JY, CA, HZ), pp. 232–236.
SAC-2007-MichalariasB #ad hoc #multi #query: Multidimensional querying in wireless ad hoc networks (IM, CB), pp. 529–530.
SAC-2007-PetterssonSK #approach: A CP-LP approach to network management in OSPF routing (MPP, RS, KK), pp. 311–315.
SAC-2007-SausenSLP #bound #multi: Bounded-distance multi-coverage backbones in wireless sensor networks (PSS, MAS, AMNdL, AP), pp. 203–208.
SAC-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.
SAC-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.
SAC-2007-TreeprapinKHN #mobile: A mobile sensor control method for sparse sensor networks (KT, AK, TH, SN), pp. 886–890.
SAC-2007-YanWZ #ad hoc #mobile #protocol: Dual agreement virtual subnet protocol for mobile ad-hoc networks (KQY, SCW, GYZ), pp. 953–954.
SAC-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.
CASE-2007-ChandrashekarN #analysis #coordination: A Shapley Value Analysis to Coordinate the Formation of Procurement Networks (TSC, YN), pp. 664–669.
CASE-2007-ChoDCT #clustering #locality #robust: Robust Calibration for Localization in Clustered Wireless Sensor Networks (JJC, YD, YC, JT), pp. 919–924.
CASE-2007-LuHF #process #robust #smarttech #using: Creating Robust Activity Maps Using Wireless Sensor Network in a Smart Home (CHL, YcH, LCF), pp. 741–746.
CASE-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.
CASE-2007-OkMLK #adaptation #distributed #energy: Distributed Energy-Adaptive Routing for Wireless Sensor Networks (CO, PM, SL, SRTK), pp. 905–910.
CASE-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.
CASE-2007-TanonkouBX #design #multi #random: Design of multi-commodity distribution network with random demands and supply lead-times (GAT, LB, XX), pp. 698–703.
CASE-2007-YooG #analysis #process: Intruder Activity Analysis under Unreliable Sensor Networks (TSY, HEG), pp. 578–584.
CGO-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.
DAC-2007-AmelifardP #delivery #power management: Optimal Selection of Voltage Regulator Modules in a Power Delivery Network (BA, MP), pp. 168–173.
DAC-2007-HagiescuBCSGR #analysis #performance: Performance Analysis of FlexRay-based ECU Networks (AH, UDB, SC, PS, PVVG, SR), pp. 284–289.
DAC-2007-LuLJ: Layered Switching for Networks on Chip (ZL, ML, AJ), pp. 122–127.
DAC-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.
DAC-2007-ShachamBC #power management: The Case for Low-Power Photonic Networks on Chip (AS, KB, LPC), pp. 132–135.
DAC-2007-YuYBY #clustering #recursion: Program Mapping onto Network Processors by Recursive Bipartitioning and Refining (JY, JY, LNB, JY), pp. 805–810.
DATE-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.
DATE-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.
DATE-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.
DATE-2007-HanssonCG #configuration management #multi: Undisrupted quality-of-service during reconfiguration of multiple applications in networks on chip (AH, MC, KG), pp. 954–959.
DATE-2007-LaouamriA #framework #testing #using: Remote testing and diagnosis of System-on-Chips using network management frameworks (OL, CA), pp. 373–378.
DATE-2007-LinXZ #design: Design closure driven delay relaxation based on convex cost network flow (CL, AX, HZ), pp. 63–68.
DATE-2007-MeijerKTK #interactive #process: Interactive presentation: A process splitting transformation for Kahn process networks (SM, BK, AT, EAdK), pp. 1355–1360.
DATE-2007-MoussaMBJ #communication #multi: Butterfly and benes-based on-chip communication networks for multiprocessor turbo decoding (HM, OM, AB, MJ), pp. 654–659.
DATE-2007-NahapetianLABS #configuration management #energy: Dynamic reconfiguration in sensor networks with regenerative energy sources (AN, PL, AA, LB, MS), pp. 1054–1059.
DATE-2007-OstlerC #architecture: An ILP formulation for system-level application mapping on network processor architectures (CO, KSC), pp. 99–104.
DATE-2007-SaponaraPTCF #reliability: FPGA-based networking systems for high data-rate and reliable in-vehicle communications (SS, EP, MT, IDC, LF), pp. 480–485.
DATE-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.
DATE-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.
DATE-2007-ZamoraKM #distributed #video: Distributed power-management techniques for wireless network video systems (NHZ, JCK, RM), pp. 564–569.
HPCA-2007-JinKY #design #scalability: A Domain-Specific On-Chip Network Design for Large Scale Cache Systems (YJ, EJK, KHY), pp. 318–327.
HPCA-2007-ShaferCMRCZW #concurrent #monitoring #virtual machine: Concurrent Direct Network Access for Virtual Machine Monitors (JS, DC, AM, SR, ALC, WZ, PW), pp. 306–317.
HPDC-2007-KimKMBS #using: Using content-addressable networks for load balancing in desktop grids (JSK, PJK, MAM, BB, AS), pp. 189–198.
HPDC-2007-LangeD #virtual machine: Transparent network services via a virtual traffic layer for virtual machines (JRL, PAD), pp. 23–32.
HPDC-2007-TaesombutC #modelling: Evaluating the impacts of network information models on applications and network service providers (NT, AAC), pp. 215–216.
HPDC-2007-WeigleC #performance: Partial content distribution on high performance networks (EW, AAC), pp. 137–146.
PDP-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.
PDP-2007-Behnel #modelling: SLOSL--A Modelling Language for Topologies and Routing in Overlay Networks (SB), pp. 498–508.
PDP-2007-BinzenhoferHKE #data type #performance #scalability #simulation: Efficient Simulation of Large-Scale P2P Networks: Compact Data Structures (AB, TH, GK, KE), pp. 467–474.
PDP-2007-CastilloFCV #algorithm: A Modified O(n) Leader Election Algorithm for Complete Networks (MC, FF, AC, JEV), pp. 189–198.
PDP-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.
PDP-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.
PDP-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.
PDP-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.
PDP-2007-ShaikhKS #modelling #on the #reliability: On Modeling the Reliability of Data Transport in Wireless Sensor Networks (FKS, AK, NS), pp. 395–402.
PDP-2007-YangZH #peer-to-peer #scalability: Scalable Content-Based Publish/Subscribe Services over Structured Peer-to-Peer Networks (XY, YZ, YH), pp. 171–178.
PPoPP-2007-GuoDLLC #latency #multi #thread: Latency hiding through multithreading on a network processor (XG, JD, LL, ZL, PRC), pp. 130–131.
PPoPP-2007-IancuS #communication #optimisation #performance: Optimizing communication overlap for high-speed networks (CI, ES), pp. 35–45.
PPoPP-2007-SchuffCP #detection #parallel: Conservative vs. optimistic parallelization of stateful network intrusion detection (DLS, YRC, VSP), pp. 138–139.
PPoPP-2007-WenWM #distributed #named #scalability #simulation: Disens: scalable distributed sensor network simulation (YW, RW, GM), pp. 24–34.
WRLA-2006-Rodriguez07 #maude #modelling #on the: On Modelling Sensor Networks in Maude (DER), pp. 199–213.
FASE-2007-MirarabT #approach #testing: A Prioritization Approach for Software Test Cases Based on Bayesian Networks (SM, LT), pp. 276–290.
FASE-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.
STOC-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.
STOC-2007-DonovanSVW: Degree-constrained network flows (PD, FBS, AV, GTW), pp. 681–688.
STOC-2007-LauNSS #constraints #design #order: Survivable network design with degree or order constraints (LCL, JN, MRS, MS), pp. 651–660.
STOC-2007-MosselR #on the #social: On the submodularity of influence in social networks (EM, SR), pp. 128–134.
TACAS-2007-BattBW #liveness #model checking #search-based: Model Checking Liveness Properties of Genetic Regulatory Networks (GB, CB, RW), pp. 323–338.
TACAS-2007-BouajjaniJS #framework #infinity #process #reasoning: A Generic Framework for Reasoning About Dynamic Networks of Infinite-State Processes (AB, YJ, MS), pp. 690–705.
ECDL-2006-Butterworth #bound #design #library #social: Designing Digital Library Resources for Users in Sparse, Unbounded Social Networks (RB), pp. 184–195.
ECDL-2006-MazurekPW #distributed #framework #library #platform: Distributed Digital Libraries Platform in the PIONIER Network (CM, TP, MW), pp. 488–491.
JCDL-2006-CampbellTL #problem: The NDIIPP preservation network: progress, problems, and promise (LEC, HRT, PL), p. 189.
SIGMOD-2006-ChandramouliXY #database #interface #on the #scalability: On the database/network interface in large-scale publish/subscribe systems (BC, JX, JY), pp. 587–598.
SIGMOD-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.
SIGMOD-2006-LooCGGHMRRS #declarative #execution #optimisation: Declarative networking: language, execution and optimization (BTL, TC, MNG, DEG, JMH, PM, RR, TR, IS), pp. 97–108.
SIGMOD-2006-SilbersteinBY #constraints #energy #monitoring: Constraint chaining: on energy-efficient continuous monitoring in sensor networks (AS, RB, JY), pp. 157–168.
SIGMOD-2006-SilbersteinMY #energy #monitoring: Energy-efficient monitoring of extreme values in sensor networks (AS, KM, JY), pp. 169–180.
SIGMOD-2006-XueLCL #detection: Contour map matching for event detection in sensor networks (WX, QL, LC, YL), pp. 145–156.
VLDB-2006-AbererHS #deployment #flexibility #middleware #performance: A Middleware for Fast and Flexible Sensor Network Deployment (KA, MH, AS), pp. 1199–1202.
VLDB-2006-ChuT0H #declarative: Entirely Declarative Sensor Network Systems (DC, AT, LP, JMH), pp. 1203–1206.
VLDB-2006-HuLL #distance: Distance Indexing on Road Networks (HH, DLL, VCSL), pp. 894–905.
VLDB-2006-MouratidisYPM #monitoring #nearest neighbour: Continuous Nearest Neighbor Monitoring in Road Networks (KM, MLY, DP, NM), pp. 43–54.
VLDB-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.
VLDB-2006-Ryu #ubiquitous: Home Network: Road to Ubiquitous World (IR), p. 1104.
ITiCSE-2006-DairaineEJCTL #named #protocol: IREEL: remote experimentation with real protocols and applications over emulated network (LD, EE, GJ, PC, FT, EL), p. 314.
ITiCSE-2006-Erlinger: Lab exercises for computer networking courses (ME), p. 305.
ITiCSE-2006-TjadenT #student: Training students to administer and defend computer networks and systems (BT, BCT), pp. 245–249.
SIGITE-2006-LawsonS #question #student: Does a virtual networking laboratory result in similar student achievement and satisfaction? (EAL, WS), pp. 105–114.
ICSM-2006-JansenR: Reducing Customers’ Total Cost of OwnershipWithin a Software Supply Network (SJ, WR), pp. 269–271.
MSR-2006-BirdGDGS #email #mining #social: Mining email social networks (CB, AG, PTD, MG, AS), pp. 137–143.
MSR-2006-BirdGDGS06a #email #mining #social: Mining email social networks in Postgres (CB, AG, PTD, MG, AS), pp. 185–186.
ICALP-v1-2006-CominettiCM #game studies: Network Games with Atomic Players (RC, JRC, NESM), pp. 525–536.
ICALP-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.
FM-2006-Zave #composition: Compositional Binding in Network Domains (PZ), pp. 332–347.
AIIDE-2006-Knight #lightweight #simulation #using: Lightweight Simulation of Air Traffic Control Using Simple Temporal Networks (RK), pp. 48–53.
AIIDE-2006-PriceG #re-engineering #using: Plausible Environment Reconstruction Using Bayesian Networks (RGP, SDG), pp. 130–132.
CIG-2006-Looney #game studies: Intelligent Battle Gaming Pragmatics with Belief Network Trees (CGL), pp. 243–248.
CIG-2006-MillerMC #detection #using: Anomaly Detection in Magnetic Motion Capture using a 2-Layer SOM network (IM, SM, BC), pp. 236–242.
CHI-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.
CSCW-2006-GutwinFWDB #performance #realtime: Improving network efficiency in real-time groupware with general message compression (CG, CF, MW, JD, TB), pp. 119–128.
SOFTVIS-2006-BaloukasP #algorithm #visualisation: A visualization software for the network simplex algorithm (TB, KP), pp. 153–154.
SOFTVIS-2006-WendlandtCTM #visual notation #visualisation: The Clack graphical router: visualizing network software (DW, MC, PT, NM), pp. 7–15.
CAiSE-2006-KartsevaGT: Inter-organisational Controls as Value Objects in Network Organisations (VK, JG, YHT), pp. 336–350.
EDOC-2006-Ejiri #generative #paradigm: Paradigm Shift of Telecommunications Services and Management for NGN (Next Generation Networks) (ME).
EDOC-2006-Gilart-IglesiasMGM #embedded: Services and Networks management through embedded devices and SOA (VGI, FMP, JAGMA, DMJ), pp. 395–398.
EDOC-2006-Hashemzadeh #navigation #performance: A Fast and Efficient Route Finding Method for Car Navigation Systems with Neural Networks (MH), pp. 423–426.
ICEIS-DISI-2006-CoelhoN: Neural Networks and Business Applications: Business Intelligence (PHGC, LBN), pp. 39–40.
ICEIS-DISI-2006-StojanovicDPN #mobile #query: Continuous Range Query Processing for Network Constrained Mobile Objects (DS, SDK, ANP, AN), pp. 63–70.
ICEIS-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.
CIKM-2006-AlyPC #named: KDDCS: a load-balanced in-network data-centric storage scheme for sensor networks (MA, KP, PKC), pp. 317–326.
ECIR-2006-NottelmannF #architecture #peer-to-peer #query: Comparing Different Architectures for Query Routing in Peer-to-Peer Networks (HN, NF), pp. 253–264.
ICML-2006-GravesFGS #classification #sequence: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (AG, SF, FJG, JS), pp. 369–376.
ICML-2006-NejatiLK #learning: Learning hierarchical task networks by observation (NN, PL, TK), pp. 665–672.
ICML-2006-SenG #learning #markov: Cost-sensitive learning with conditional Markov networks (PS, LG), pp. 801–808.
ICML-2006-SuZ #classification: Full Bayesian network classifiers (JS, HZ), pp. 897–904.
ICPR-v1-2006-CantoniLL #challenge #data mining #distributed #mining: Challenges for Data Mining in Distributed Sensor Networks (VC, LL, PL), pp. 1000–1007.
ICPR-v1-2006-DuCXL #interactive #process #using: Recognizing Interaction Activities using Dynamic Bayesian Network (YD, FC, WX, YL), pp. 618–621.
ICPR-v1-2006-ZhouH #visual notation: Weighted Bayesian Network for Visual Tracking (YZ, TSH), pp. 523–526.
ICPR-v2-2006-GonzalezSRP #image #retrieval: Wavelet transforms and neural networks applied to image retrieval (ACG, JHSA, EMFR, OBP), pp. 909–912.
ICPR-v2-2006-GranaCPS #detection: Line Detection and Texture Characterization of Network Patterns (CG, RC, GP, SS), pp. 275–278.
ICPR-v2-2006-LernerM #classification #image #learning: Learning Bayesian Networks for Cytogenetic Image Classification (BL, RM), pp. 772–775.
ICPR-v2-2006-NandedkarB #classification #fuzzy: A Reflex Fuzzy Min Max Neural Network for Granular Data Classification (AVN, PKB), pp. 650–653.
ICPR-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.
ICPR-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.
ICPR-v3-2006-BianchiniMS #locality #recursion #using: Object Localization Using Input/Output Recursive Neural Networks (MB, MM, LS), pp. 95–98.
ICPR-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.
ICPR-v3-2006-MatosC #classification: Combining global and local classifiers with Bayesian network (LNM, JMdC), pp. 1212–1215.
ICPR-v3-2006-NieuwenhuisY #image #knowledge base #using: Knowledge Based Image Enhancement Using Neural Networks (CN, MY), pp. 814–817.
ICPR-v3-2006-PalenichkaZ #image #using: Perceptual Knowledge Extraction Using Bayesian Networks of Salient Image Objects (RMP, MBZ), pp. 1216–1219.
ICPR-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.
ICPR-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.
ICPR-v4-2006-LinO #recognition #speech: Switching Auxiliary Chains for Speech Recognition based on Dynamic Bayesian Networks (HL, ZO), pp. 258–261.
ICPR-v4-2006-MatosC06a #classification: Combining global and local classifiers with Bayesian network (LNM, JMdC), p. 952.
ICPR-v4-2006-NiuG #using: Recovering Non-overlapping Network Topology Using Far-field Vehicle Tracking Data (CN, EG), pp. 944–949.
ICPR-v4-2006-PalenichkaZ06a #image #using: Perceptual Knowledge Extraction Using Bayesian Networks of Salient Image Objects (RMP, MBZ), p. 953.
ICPR-v4-2006-TiviveB #classification #gender: A Shunting Inhibitory Convolutional Neural Network for Gender Classification (FHCT, AB), pp. 421–424.
ICPR-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.
ICPR-v4-2006-ZhengLL #learning: Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network (YZ, SL, ZL), pp. 639–642.
KDD-2006-BackstromHKL #evolution #scalability #social: Group formation in large social networks: membership, growth, and evolution (LB, DPH, JMK, XL), pp. 44–54.
KDD-2006-Berger-WolfS #analysis #framework #social: A framework for analysis of dynamic social networks (TYBW, JS), pp. 523–528.
KDD-2006-ChenHLN #interactive #named: NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs (JC, WH, MLL, SKN), pp. 106–115.
KDD-2006-KorenNV #proximity: Measuring and extracting proximity in networks (YK, SCN, CV), pp. 245–255.
KDD-2006-KumarNT #evolution #online #social: Structure and evolution of online social networks (RK, JN, AT), pp. 611–617.
KDD-2006-RattiganMJ #approximate #performance #using: Using structure indices for efficient approximation of network properties (MJR, MEM, DJ), pp. 357–366.
KDD-2006-Stankovic #self: Self-Organizing wireless sensor networks in action (JAS), p. 1.
SIGIR-2006-Kleinberg #social: Social networks, incentives, and search (JMK), pp. 210–211.
SIGIR-2006-LuC #modelling #peer-to-peer: User modeling for full-text federated search in peer-to-peer networks (JL, JPC), pp. 332–339.
MoDELS-2006-BertolinoBAS #estimation #modelling #performance: Modeling and Early Performance Estimation for Network Processor Applications (AB, AB, GDA, ALSV), pp. 753–767.
MoDELS-2006-BertolinoBAS #estimation #modelling #performance: Modeling and Early Performance Estimation for Network Processor Applications (AB, AB, GDA, ALSV), pp. 753–767.
ECOOP-2006-Abiteboul #database #xml: Turning the Network into a Database with Active XML (SA), pp. 203–205.
POPL-2006-ChenLK: Compiler-directed channel allocation for saving power in on-chip networks (GC, FL, MTK), pp. 194–205.
POPL-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.
SAC-2006-AhmedKL #algorithm #design #implementation: Design and implementation of a context-aware decision algorithm for heterogeneous networks (TA, KK, ML), pp. 1134–1138.
SAC-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.
SAC-2006-BonnetEV #ad hoc #mobile #using: Quiescent consensus in mobile ad-hoc networks using eventually storage-free broadcasts (FB, PDE, EV), pp. 670–674.
SAC-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.
SAC-2006-LeeYKKK #ad hoc #distributed #mobile: Distributed IPv6 addressing technique for mobile ad-hoc networks (DL, JY, HK, KK, KK), pp. 1156–1160.
SAC-2006-LinsR #image: Comparisons of file formats for image transmission through networks (RDL, CR), pp. 863–864.
SAC-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.
SAC-2006-MussigmannA #rating: Supplier network management: evaluating and rating of strategic supply networks (NM, AA), pp. 1511–1515.
SAC-2006-PanAHSY #named: FCAN: Flash Crowds Alleviation Network (CP, MA, MBH, TS, NY), pp. 759–765.
SAC-2006-PisupatiB #file system #framework: File system framework for organizing sensor networks (BP, GB), pp. 935–936.
SAC-2006-PuppinS #java #social: The social network of Java classes (DP, FS), pp. 1409–1413.
SAC-2006-WuH #interactive #mining: Mining and analyzing the topological structure of protein-protein interaction networks (DDW, XH), pp. 185–189.
ASPLOS-2006-BinkertSR #interface: Integrated network interfaces for high-bandwidth TCP/IP (NLB, AGS, SKR), pp. 315–324.
CASE-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.
CASE-2006-SchiffG #automation #using: Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
CASE-2006-TanonkouBX #design #random: Distribution network design with random demand and unreliable suppliers (GAT, LB, XX), pp. 15–20.
CASE-2006-WuD #analysis #multi #performance: Performance analysis of complex supply chain networks with multi-product (YW, MD), pp. 630–635.
CASE-2006-WuN #constraints #evaluation #reliability: Evaluation of the Reliability of Emergency Networks under Time Constraints (WwW, XxN), pp. 259–263.
CASE-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.
DAC-2006-HuLHL: Steiner network construction for timing critical nets (SH, QL, JH, PL), pp. 379–384.
DAC-2006-KansalHSR #power management: Harvesting aware power management for sensor networks (AK, JH, MBS, VR), pp. 651–656.
DAC-2006-LiS #linear #order #reduction: Model order reduction of linear networks with massive ports via frequency-dependent port packing (PL, WS), pp. 267–272.
DAC-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.
DAC-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.
DAC-2006-OzturkCK #approach #constraints #optimisation #parallel: Optimizing code parallelization through a constraint network based approach (ÖÖ, GC, MTK), pp. 863–688.
DAC-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.
DATE-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.
DATE-2006-BernasconiCDV #performance: Efficient minimization of fully testable 2-SPP networks (AB, VC, RD, TV), pp. 1300–1305.
DATE-2006-BoniventoCS #design #industrial #platform: Platform-based design of wireless sensor networks for industrial applications (AB, LPC, ALSV), pp. 1103–1107.
DATE-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.
DATE-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.
DATE-2006-HandziskiKWW: An environment for controlled experiments with in-house sensor networks (VH, AK, AW, AW), p. 1108.
DATE-2006-Havinga: Wireless sensor networks and beyond (PJMH), p. 970.
DATE-2006-MarculescuRS #design #idea #question: Is “Network” the next “Big Idea” in design? (RM, JMR, ALSV), pp. 254–256.
DATE-2006-MuraliCRGM #multi: A methodology for mapping multiple use-cases onto networks on chips (SM, MC, AR, KG, GDM), pp. 118–123.
DATE-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.
DATE-2006-Weber #communication: Management of complex automotive communication networks (TW), pp. 554–555.
DATE-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.
DATE-DF-2006-CampobelloCCM: GALS networks on chip: a new solution for asynchronous delay-insensitive links (GC, MC, CC, DM), pp. 160–165.
DATE-DF-2006-FummiQRT #mobile #modelling #simulation: Modeling and simulation of mobile gateways interacting with wireless sensor networks (FF, DQ, FR, MT), pp. 106–111.
DATE-DF-2006-RichterE #challenge #how #integration: How OEMs and suppliers can face the network integration challenges (KR, RE), pp. 183–188.
DATE-DF-2006-SteenhofDNGL #architecture: Networks on chips for high-end consumer-electronics TV system architectures (FS, HD, BN, KG, RPL), pp. 148–153.
HPCA-2006-Recio #evolution #industrial: Industrial Perspectives: System IO Network Evolution — Closing Requirement Gaps (RR), p. 201.
HPDC-2006-BrunetAN #optimisation: Short Paper : Dynamic Optimization of Communications over High Speed Networks (EB, OA, RN), pp. 345–346.
HPDC-2006-CaiKS #data type #named #performance #predict: IQ-Paths: Predictably High Performance Data Streams across Dynamic Network Overlays (ZC, VK, KS), pp. 18–29.
HPDC-2006-GangulyABF #named #self: WOW: Self-Organizing Wide Area Overlay Networks of Virtual Workstations (AG, AA, POB, RJOF), pp. 30–42.
HPDC-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.
HPDC-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.
LCTES-2006-ZhuangP #analysis #compilation #concurrent #effectiveness #thread: Effective thread management on network processors with compiler analysis (XZ, SP), pp. 72–82.
OSDI-2006-EeFKMTCSS #composition: A Modular Network Layer for Sensornets (CTE, RF, SK, DM, AT, DEC, SS, IS), pp. 249–262.
OSDI-2006-KimR #interface #policy: Connection Handoff Policies for TCP Offload Network Interfaces (HyK, SR), pp. 293–306.
OSDI-2006-Werner-AllenLJLW #monitoring: Fidelity and Yield in a Volcano Monitoring Sensor Network (GWA, KL, JJ, JL, MW), pp. 381–396.
PDP-2006-AlbrechtFKM #architecture #configuration management #named: DynaCORE — A Dynamically Reconfigurable Coprocessor Architecture for Network Processors (CA, JF, RK, EM), pp. 101–108.
PDP-2006-CamineroCC #algorithm #lightweight #multi: A New Lightweight CAC Algorithm for High-Performance Multimedia Networks (ACC, BC, CC), pp. 465–472.
PDP-2006-GhafoorYDM06a #calculus #collaboration: Operability of p-calculus Technology in P2P Collaboration Business Network (AGM, JY, JD, MMuR), pp. 239–247.
PDP-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.
PDP-2006-IzuMG #injection #throughput: Effects of Injection Pressure on Network Throughput (CI, JMA, JAG), pp. 91–98.
PDP-2006-LinckMBDS #estimation #quality #streaming #video: Video Quality Estimation of DCCP Streaming over Wireless Networks (SL, EM, JB, ED, FS), pp. 405–412.
PDP-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.
PDP-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.
PDP-2006-WuCYR #ad hoc #mobile #protocol: A Hierarchical Consensus Protocol for Mobile Ad Hoc Networks (WW, JC, JY, MR), pp. 64–72.
PPoPP-2006-HuTH #algorithm #manycore #parallel #thread: High-performance IPv6 forwarding algorithm for multi-core and multithreaded network processor (XH, XT, BH), pp. 168–177.
FATES-RV-2006-FalconeFMR #calculus #framework #policy #security: A Test Calculus Framework Applied to Network Security Policies (YF, JCF, LM, JLR), pp. 55–69.
ICLP-2006-GrellSS #biology #modelling #programming #set: Modelling Biological Networks by Action Languages Via Answer Set Programming (SG, TS, JS), pp. 285–299.
IJCAR-2006-GrinchteinLP #automation #invariant: Inferring Network Invariants Automatically (OG, ML, NP), pp. 483–497.
MBT-2006-DjouvasGL #self #testing: Testing Self-Similar Networks (CD, NDG, NAL), pp. 67–82.
TestCom-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.
TestCom-2006-DarmaillacqFGMR #generative #security #testing: Test Generation for Network Security Rules (VD, JCF, RG, LM, JLR), pp. 341–356.
WICSA-2005-TangJHN #architecture #design #impact analysis #predict: Predicting Change Impact in Architecture Design with Bayesian Belief Networks (AT, YJ, JH, AEN), pp. 67–76.
DRR-2005-NamaneAGSMB #recognition: Sequential neural network combination for degraded machine-printed character recognition (AN, MA, AG, EHS, PM, MB), pp. 101–110.
ICDAR-2005-CecottiB #adaptation #recognition: Rejection strategy for Convolutional Neural Network by adaptive topology applied to handwritten digits recognition (HC, AB), pp. 765–769.
ICDAR-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.
ICDAR-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.
SIGMOD-2005-ManjhiNG #performance #robust: Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams (AM, SN, PBG), pp. 287–298.
VLDB-2005-AbadiML #detection #named #performance #robust: REED: Robust, Efficient Filtering and Event Detection in Sensor Networks (DJA, SM, WL), pp. 769–780.
VLDB-2005-AbererC #semantics: Semantic Overlay Networks (KA, PCM), p. 1367.
VLDB-2005-AbererDHS: Indexing Data-oriented Overlay Networks (KA, AD, MH, RS), pp. 685–696.
VLDB-2005-ChoC #approach #performance #query #scalability: An Efficient and Scalable Approach to CNN Queries in a Road Network (HJC, CWC), pp. 865–876.
VLDB-2005-JagadishOV #named #peer-to-peer: BATON: A Balanced Tree Structure for Peer-to-Peer Networks (HVJ, BCO, QHV), pp. 661–672.
VLDB-2005-MetwallyAA #detection #using #web: Using Association Rules for Fraud Detection in Web Advertising Networks (AM, DA, AEA), pp. 169–180.
VLDB-2005-ShahRR: Client Assignment in Content Dissemination Networks for Dynamic Data (SS, KR, CVR), pp. 673–684.
VLDB-2005-ZadorozhnyGRY #adaptation #distributed #framework #named: AReNA: Adaptive Distributed Catalog Infrastructure Based On Relevance Networks (VZ, AG, LR, QY), pp. 1287–1290.
ITiCSE-2005-CasadoWM #education #hardware: Teaching networking hardware (MC, GW, NM), pp. 208–212.
ITiCSE-2005-CrescenziGI #ide #protocol #visualisation: NetPrIDE an integrated environment for developing and visualizing computer network protocols (PC, GG, GI), pp. 306–310.
ITiCSE-2005-PisaFJC #research: BRaiN research network (RP, VF, EJ, BC), p. 400.
SIGITE-2005-Bailey #using: Malware resistant networking using system diversity (MGB), pp. 191–197.
SIGITE-2005-Hill #safety: Equipment safety in the wireless networking laboratory environment (LWH), pp. 83–87.
SIGITE-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.
SIGITE-2005-Matthews #approach #education #using: Hands-on approach to teaching computer networking using packet traces (JNM), pp. 361–367.
ICSM-IT-2005-Pacione #abstraction #analysis #named #visualisation: VANESSA: Visualisation Abstraction NEtwork for Software Systems Analysis (MJP), pp. 85–88.
MSR-2005-OhiraOOM #collaboration #social #using: Accelerating cross-project knowledge collaboration using collaborative filtering and social networks (MO, NO, TO, KiM), pp. 71–75.
ICALP-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.
ICALP-2005-ChlebusGKR #on the #problem: On the Wake-Up Problem in Radio Networks (BSC, LG, DRK, TR), pp. 347–359.
ICALP-2005-EisenbrandGOS #design: New Approaches for Virtual Private Network Design (FE, FG, GO, MS), pp. 1151–1162.
ICALP-2005-KempeKT #social: Influential Nodes in a Diffusion Model for Social Networks (DK, JMK, ÉT), pp. 1127–1138.
FM-2005-Zave #formal method: A Formal Model of Addressing for Interoperating Networks (PZ), pp. 318–333.
IFM-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.
SFM-2005-GerlaCLZCYD #ad hoc: Dealing with Node Mobility in Ad Hoc Wireless Network (MG, LJC, YZL, BZ, JC, GY, SD), pp. 69–106.
SFM-2005-LattanziAB: Network Swapping (EL, AA, AB), pp. 215–233.
CIG-2005-Lucas #evolution #game studies: Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man (SML).
CIG-2005-LuthiGT #evolution: Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners (LL, MG, MT).
ICEIS-v1-2005-KarydisNPM #distance #retrieval: Musical Retrieval in P2P Networks under the Warping Distance (IK, AN, ANP, YM), pp. 100–107.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2005-HuangK #online #recognition: A Recurrent Neural Network Recogniser for Online Recognition of Handwritten Symbols (BQH, MTK), pp. 27–34.
ICEIS-v2-2005-KianmehrZNOA #approach #data mining #mining: Combining Neural Network and Support Vector Machine into Integrated Approach for Biodata Mining (KK, HZ, KN, TÖ, RA), pp. 182–187.
ICEIS-v3-2005-SeehusenS #specification #visual notation: Graphical Specification of Dynamic Network Structure (FS, KS), pp. 203–210.
ICEIS-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.
CIKM-2005-AekaterinidisT #internet #string: Internet scale string attribute publish/subscribe data networks (IA, PT), pp. 44–51.
CIKM-2005-ComanNS #energy #performance #query: Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries (AC, MAN, JS), pp. 187–194.
CIKM-2005-LianCNOA #locality #query: Localized routing trees for query processing in sensor networks (JL, LC, KN, MTÖ, GBA), pp. 259–260.
CIKM-2005-MekaS #distributed #named: DIST: a distributed spatio-temporal index structure for sensor networks (AM, AKS), pp. 139–146.
CIKM-2005-MullerEH #retrieval #scalability #summary: Scalable summary based retrieval in P2P networks (WM, ME, AH), pp. 586–593.
CIKM-2005-XiongLZ #clustering #parallel: Supporting ranked search in parallel search cluster networks (FX, QL, DJZ), pp. 263–264.
CIKM-2005-YangH #ad hoc: Cooperative caching for k-NN search in ad hoc networks (BY, ARH), pp. 333–334.
ECIR-2005-CachedaCPO #analysis #architecture #distributed #information retrieval: Network Analysis for Distributed Information Retrieval Architectures (FC, VC, VP, IO), pp. 527–529.
ECIR-2005-LuC #library #peer-to-peer: Federated Search of Text-Based Digital Libraries in Hierarchical Peer-to-Peer Networks (JL, JC), pp. 52–66.
ICML-2005-BurgeL #learning: Learning class-discriminative dynamic Bayesian networks (JB, TL), pp. 97–104.
ICML-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.
ICML-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.
ICML-2005-KokD #learning #logic #markov: Learning the structure of Markov logic networks (SK, PMD), pp. 441–448.
ICML-2005-PernkopfB #classification #generative #learning #parametricity: Discriminative versus generative parameter and structure learning of Bayesian network classifiers (FP, JAB), pp. 657–664.
ICML-2005-TannerS: TD(λ) networks: temporal-difference networks with eligibility traces (BT, RSS), pp. 888–895.
KDD-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.
KDD-2005-ChenH #analysis #classification #image: A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis (RC, EH), pp. 4–12.
KDD-2005-FastJL #peer-to-peer #social: Creating social networks to improve peer-to-peer networking (ASF, DJ, BNL), pp. 568–573.
KDD-2005-JaroszewiczS #performance: Fast discovery of unexpected patterns in data, relative to a Bayesian network (SJ, TS), pp. 118–127.
KDD-2005-Raghavan: Incentive networks (PR), p. 1.
KDD-2005-SpertusSB #metric #scalability #similarity #social: Evaluating similarity measures: a large-scale study in the orkut social network (ES, MS, OB), pp. 678–684.
KDD-2005-YamanishiM #mining #monitoring: Dynamic syslog mining for network failure monitoring (KY, YM), pp. 499–508.
MLDM-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.
MLDM-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.
MLDM-2005-GiacintoPR #clustering #detection: Alarm Clustering for Intrusion Detection Systems in Computer Networks (GG, RP, FR), pp. 184–193.
SEKE-2005-AdorniMTL #architecture: Network Services via Reflective Architecture (MA, DM, FT, PL), pp. 761–766.
SEKE-2005-JiA: Spontaneous Agent Networking (ZJ, MA), pp. 57–61.
SEKE-2005-LienT #recommendation #web: A Web Pages Recommender with Bayesian Networks (CCL, HLT), pp. 82–87.
SEKE-2005-TynanRO #development #multi: A Methodology for the Development of Multi-Agent Systems on Wireless Sensor Networks (RT, AGR, GMPO), pp. 68–75.
SIGIR-2005-ChakrabartiMN #named: SPIN: searching personal information networks (SC, JM, AN), p. 674.
SIGIR-2005-TryfonopoulosIK #information retrieval #using: Publish/subscribe functionality in IR environments using structured overlay networks (CT, SI, MK), pp. 322–329.
PLDI-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.
PLDI-2005-NiKSI #ad hoc #mobile #programming: Programming ad-hoc networks of mobile and resource-constrained devices (YN, UK, AS, LI), pp. 249–260.
PPDP-2005-Mitchell #analysis #logic #protocol #security: Security analysis of network protocols: logical and computational methods (JCM), pp. 151–152.
SAC-2005-AnshulR #identification: A ZKP-based identification scheme for base nodes in wireless sensor networks (DA, SR), pp. 319–323.
SAC-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.
SAC-2005-BoninoCP #automation #concept #learning: Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks (DB, FC, FP), pp. 1639–1644.
SAC-2005-Casale #analysis #mining #performance #web: Combining queueing networks and web usage mining techniques for web performance analysis (GC), pp. 1699–1703.
SAC-2005-DelicatoPRPR #middleware: Reflective middleware for wireless sensor networks (FCD, PFP, LFRdCC, LP, JFdR), pp. 1155–1159.
SAC-2005-DuanHW #detection: Enhancing network intrusion detection systems with interval methods (QD, CH, HCW), pp. 1444–1448.
SAC-2005-FaederBH #representation #rule-based #visual notation: Graphical rule-based representation of signal-transduction networks (JRF, MLB, WSH), pp. 133–140.
SAC-2005-FarahabadyS #multi #recursion: The recursive transpose-connected cycles (RTCC) interconnection network for multiprocessors (MHF, HSA), pp. 734–738.
SAC-2005-GoualardG #constraints: Controlled propagation in continuous numerical constraint networks (FG, LG), pp. 377–382.
SAC-2005-Hara #ad hoc #mobile: Location management of data items in mobile ad hoc networks (TH), pp. 1174–1175.
SAC-2005-JafariDCS #performance: Efficient placement and routing in grid-based networks (RJ, FD, BKC, MS), pp. 899–900.
SAC-2005-KanzakiHN #ad hoc #adaptation #protocol: An adaptive TDMA slot assignment protocol in ad hoc sensor networks (AK, TH, SN), pp. 1160–1165.
SAC-2005-Moloney #distributed #pervasive #recommendation #simulation: Simulation of a distributed recommendation system for pervasive networks (SM), pp. 1577–1581.
SAC-2005-MonemizadehS #multi #scalability: The necklace-hypercube: a well scalable hypercube-based interconnection network for multiprocessors (MM, HSA), pp. 729–733.
SAC-2005-NeisseAGT #policy: Policies translation for integrated management of grids and networks (RN, MJBA, LZG, LMRT), pp. 724–729.
SAC-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.
SAC-2005-RenJ #adaptation #distributed #forensics #realtime: Honeynet based distributed adaptive network forensics and active real time investigation (WR, HJ), pp. 302–303.
SAC-2005-SpohnG #problem #set #using: A solution for the location problem in arbitrary computer networks using generic dominating sets (MAS, JJGLA), pp. 739–743.
SAC-2005-StaakeTF #anti: Extending the EPC network: the potential of RFID in anti-counterfeiting (TS, FT, EF), pp. 1607–1612.
SAC-2005-ToKS #exclamation #mobile: Mobile agents for network management: when and when not! (HHT, SK, BS), pp. 47–53.
SAC-2005-WengW #parallel #profiling: Profiling and mapping of parallel workloads on network processors (NW, TW), pp. 890–896.
SAC-2005-YoonYMWD #3d #interactive #visualisation: Interactive 3D visualization of highly connected ecological networks on the WWW (IY, SY, NDM, RJW, JAD), pp. 1207–1212.
SAC-2005-ZhengZOMF #clustering: Node clustering based on link delay in P2P networks (WZ, SZ, YO, FM, JF), pp. 744–749.
CASE-2005-AbdelhameedD #debugging #logic #programmable #source code: Diagnosis and debugging of programmable logic controller control programs by neural networks (MMA, HD), pp. 313–318.
CASE-2005-ChangLJ #detection #fault #using: Using a two-layer competitive Hopfield neural network for semiconductor wafer defect detection (CYC, SYL, MJ), pp. 301–306.
CC-2005-EnnalsSM #clustering #manycore: Task Partitioning for Multi-core Network Processors (RE, RS, AM), pp. 76–90.
DAC-2005-Balderas-ContrerasC #encryption #performance: High performance encryption cores for 3G networks (TBC, RC), pp. 240–243.
DAC-2005-ChoM #pattern matching #security: A pattern matching coprocessor for network security (YHC, WHMS), pp. 234–239.
DAC-2005-GilbertCS: MIMO technology for advanced wireless local area networks (JMG, WJC, QS), pp. 413–415.
DAC-2005-KrenikB: Cognitive radio techniques for wide area networks (WK, AB), pp. 409–412.
DAC-2005-LuoYYB #design #power management #using: Low power network processor design using clock gating (YL, JY, JY, LNB), pp. 712–715.
DAC-2005-LuSHZCHH #navigation: Navigating registers in placement for clock network minimization (YL, CCNS, XH, QZ, YC, LH, JH), pp. 176–181.
DATE-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.
DATE-2005-ChenKK #approach #constraints #layout #memory management #optimisation: A Constraint Network Based Approach to Memory Layout Optimization (GC, MTK, MK), pp. 1156–1161.
DATE-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.
DATE-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.
DATE-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.
DATE-2005-MannionHCV #programmable #synthesis: System Synthesis for Networks of Programmable Blocks (RM, HH, SC, FV), pp. 888–893.
DATE-2005-MishchenkoB #optimisation #satisfiability: SAT-Based Complete Don’t-Care Computation for Network Optimization (AM, RKB), pp. 412–417.
DATE-2005-PapaefstathiouOKKMN #queue: Queue Management in Network Processors (IP, TO, GK, CK, IM, AN), pp. 112–117.
DATE-2005-RaiM #modelling: Lifetime Modeling of a Sensor Network (VR, RNM), pp. 202–203.
DATE-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.
DATE-2005-StreichertHT #clustering #configuration management #distributed #embedded: Distributed HW/SW-Partitioning for Embedded Reconfigurable Networks (TS, CH, JT), pp. 894–895.
DATE-2005-TsaiVXI: Leakage-Aware Interconnect for On-Chip Network (YFT, NV, YX, MJI), pp. 230–231.
DATE-2005-WangPM #energy: A Technology-Aware and Energy-Oriented Topology Exploration for On-Chip Networks (HW, LSP, SM), pp. 1238–1243.
DATE-2005-WeberCSW: A Quality-of-Service Mechanism for Interconnection Networks in System-on-Chips (WDW, JC, IS, DW), pp. 1232–1237.
DATE-2005-YuWCHYB #architecture #design: Assertion-Based Design Exploration of DVS in Network Processor Architectures (JY, WW, XC, HH, JY, FB), pp. 92–97.
HPCA-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.
HPCA-2005-WillmannKRP #interface #performance #programmable: An Efficient Programmable 10 Gigabit Ethernet Network Interface Card (PW, HyK, SR, VSP), pp. 96–107.
HPDC-2005-AgrawalGBF #grid #towards #virtual machine: Towards P2P-routed IF overlay networks for grid virtual machines (AA, AG, POB, RJOF), pp. 293–294.
HPDC-2005-LangeSD #automation #runtime: Automatic dynamic run-time optical network reservations (JRL, AIS, PAD), pp. 255–264.
HPDC-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.
PDP-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.
PDP-2005-LujanMGF #framework #java #named: DIFOJO: A Java Fork/Join Framework for Heterogeneous Networks (ML, GM, JRG, TLF), pp. 297–304.
PDP-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.
PDP-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.
PDP-2005-VilladangosCFP #performance: Efficient Leader Election in Complete Networks (JEV, AC, FF, MP), pp. 136–143.
STOC-2005-CharikarK #design #multi #on the: On non-uniform multicommodity buy-at-bulk network design (MC, AK), pp. 176–182.
STOC-2005-CheriyanV #algorithm #approximate #design #metric: Approximation algorithms for network design with metric costs (JC, AV), pp. 167–175.
TestCom-2005-LiL05a #algorithm #detection #fault #probability #testing: Fault Detection of Hierarchical Networks with Probabilistic Testing Algorithms (KL, DL), pp. 258–274.
TestCom-2005-MillerCLH #nondeterminism #protocol #testing: Coping with Nondeterminism in Network Protocol Testing (REM, DC, DL, RH), pp. 129–145.
WICSA-2004-BashroushSKB #architecture #realtime: A Network Architectural Style for Real-time Systems: NaSr (RB, ITAS, PK, TJB), pp. 321–324.
HT-2004-LarsenB #named: HyperPeer: searching for resemblance in a P2P network (RDL, NOB), pp. 268–269.
PODS-2004-GreenwaldK #statistics: Power-Conserving Computation of Order-Statistics over Sensor Networks (MG, SK), pp. 275–285.
SIGMOD-2004-BawaGGM: The Price of Validity in Dynamic Networks (MB, AG, HGM, RM), pp. 515–526.
SIGMOD-2004-CohenK #algorithm: Spatially-decaying aggregation over a network: model and algorithms (EC, HK), pp. 707–718.
SIGMOD-2004-DeligiannakisKR: Compressing Historical Information in Sensor Networks (AD, YK, NR), pp. 527–538.
SIGMOD-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.
SIGMOD-2004-Mihic #web #web service: Building Dynamic Application Networks with Web Services (MM), p. 878.
SIGMOD-2004-YiuM #clustering: Clustering Objects on a Spatial Network (MLY, NM), pp. 443–454.
VLDB-2004-AbadiLMS #data type #framework #integration: An Integration Framework for Sensor Networks and Data Stream Management Systems (DJA, WL, SM, JS), pp. 1361–1364.
VLDB-2004-DeshpandeGMHH #modelling: Model-Driven Data Acquisition in Sensor Networks (AD, CG, SM, JMH, WH), pp. 588–599.
VLDB-2004-KolahdouzanS #database #nearest neighbour: Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases (MRK, CS), pp. 840–851.
VLDB-2004-TajimaF #query #xpath: Answering XPath Queries over Networks by Sending Minimal Views (KT, YF), pp. 48–59.
ITiCSE-2004-Chang #education: Teaching computer networking with the help of personal computer networks (RKCC), pp. 208–212.
ITiCSE-2004-JippingKKL #programmable #using: Investigating wired and wireless networks using a java-based programmable sniffer (MJJ, AJK, NK, KL), pp. 12–16.
ITiCSE-WGR-2004-Bogoyavlenskaya #education: Teaching networking congestion control (OYB), pp. 35–41.
SIGITE-2004-MasonJT #approach #collaboration #security: Network and systems security, a collaborative approach (SM, DJ, LT), p. 279.
SIGITE-2004-Morneau #design #security: Designing an information security program as a core competency of network technologists (KAM), pp. 29–32.
SIGITE-2004-RomneyS #education #multi #platform #security: An isolated, multi-platform network sandbox for teaching IT security system engineers (GWR, BRS), pp. 19–23.
SIGITE-2004-StockmanCSN #implementation: An implementation of a networking track in an information technology degree program (MS, CC, HS, JN), pp. 138–143.
SIGITE-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.
ICALP-2004-AndrewsZ #capacity: Wavelength Assignment in Optical Networks with Fixed Fiber Capacity (MA, LZ), pp. 134–145.
ICALP-2004-Fleischer #algorithm #bound #linear: Linear Tolls Suffice: New Bounds and Algorithms for Tolls in Single Source Networks (LF), pp. 544–554.
ICALP-2004-GasieniecKPX #multi: Deterministic M2M Multicast in Radio Networks: (LG, EK, AP, QX), pp. 670–682.
ICALP-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.
ICALP-2004-LebharS #distributed: Almost Optimal Decentralized Routing in Long-Range Contact Networks (EL, NS), pp. 894–905.
SEFM-2004-BertoliniFFO #analysis #automaton #generative #probability #testing #using: Test Case Generation Using Stochastic Automata Networks: Quantitative Analysis (CB, AGF, PF, FMO), pp. 251–260.
CSCW-2004-GoecksM #information management #social: Leveraging social networks for information sharing (JG, EDM), pp. 328–331.
CSCW-2004-GoodallLK #collaboration #detection: I know my network: collaboration and expertise in intrusion detection (JRG, WGL, AK), pp. 342–345.
CSCW-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.
CSCW-2004-SaltzHT #graph #online #social #student #visualisation: Student social graphs: visualizing a student’s online social network (JSS, SRH, MT), pp. 596–599.
CSCW-2004-StefanoneHGI #social: Emergent networks, locus of control, and the pursuit of social capital (MS, JTH, GG, ARI), pp. 592–595.
ICEIS-v2-2004-AnavattiYP #experience: An Experience with the Neural Network for Auto-Landing System of an Aircraft (SGA, CJY, FP), pp. 393–400.
ICEIS-v2-2004-BendouM #graph #learning: Learning Bayesian Networks with Largest Chain Graphs (MB, PM), pp. 184–190.
ICEIS-v2-2004-CamargoFPS #tool support: Neural Network and Time Series as Tools for Sales Forecasting (MC, WPF, MP, AS), pp. 476–478.
ICEIS-v2-2004-ColaceSVF04a #algorithm #comparison #learning: Bayesian Network Structural Learning from Data: An Algorithms Comparison (FC, MDS, MV, PF), pp. 527–530.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2004-Grzeszczyk: Application of Neural Networks for Prior Appraisal of Structural Funds Project Proposals (TAG), pp. 501–504.
ICEIS-v2-2004-Kabiri #approximate #comparison #learning: A Comparison Between the Proportional Keen Approximator and the Neural Networks Learning Methods (PK), pp. 159–164.
ICEIS-v2-2004-MoutinhoTNC #approach #detection #using: Face Pattern Detection — an Approach Using Neural Networks (AMM, ACGT, LBN, PHGC), pp. 172–177.
ICEIS-v2-2004-NetoCVMM #estimation #using: Monthly Flow Estimation Using Elman Neural Networks (LBN, PHGC, MLFV, JCCBSdM, LAM), pp. 153–158.
ICEIS-v2-2004-SalemSA #clustering #documentation: Unsupervised Artificial Neural Networks for Clustering of Document Collections (ABMS, MMS, AFA), pp. 383–392.
ICEIS-v2-2004-SilvaCSGN #multi #using: Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks (ÁMS, PC, MFS, LG, JN), pp. 401–408.
ICEIS-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.
ICEIS-v4-2004-Bredin: Strategic Negotiation of Bandwidth in Cooperative Networks (JB), pp. 230–235.
ICEIS-v4-2004-Carneiro #challenge #learning #process: Learning Processes and the Role of Technological Networks as an Innovative Challenge (AC), pp. 497–501.
ICEIS-v4-2004-EbaraGSYWM #communication: The Project of Virtual Laboratory for Informal Communication on Gigabit Network (YE, YG, TS, SY, KW, YM), pp. 176–181.
ICEIS-v4-2004-EssmannHB #architecture #collaboration #component #mobile: A Network Component Architecture for Collaboration in Mobile Settings (BE, TH, TB), pp. 337–343.
ICEIS-v4-2004-FinnieB #adaptation: Adaptive Agents for Supply Networks (GRF, JB), pp. 480–483.
ICEIS-v4-2004-HelaakoskiKH #architecture: An Agent Architecture for Steel Product Business Network (HH, JK, HH), pp. 467–470.
ICEIS-v4-2004-TingD #peer-to-peer #simulation: Peer-to-Peer Network Simulation (NST, RD), pp. 84–91.
CIKM-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.
CIKM-2004-RendaC #robust: The robustness of content-based search in hierarchical peer to peer networks (MER, JC), pp. 562–570.
CIKM-2004-Singhal #design #web #web service: Design of a data warehouse system for network/web services (AS), pp. 473–476.
ECIR-2004-HeeschR #image #retrieval: NNk Networks for Content-Based Image Retrieval (DH, SMR), pp. 253–266.
ICML-2004-GrossmanD #classification #learning: Learning Bayesian network classifiers by maximizing conditional likelihood (DG, PMD).
ICML-2004-TaskarCK #learning #markov: Learning associative Markov networks (BT, VC, DK).
ICPR-v1-2004-KhanM #parallel #pattern matching #pattern recognition #recognition: Parallel Pattern Recognition Computations within a Wireless Sensor Network (AIK, PM), pp. 777–780.
ICPR-v1-2004-MicheletGBC #estimation #multi #recursion: Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network (FM, CG, PB, JPDC), pp. 712–715.
ICPR-v1-2004-SinhaP: Synchronization and Calibration of Camera Networks from Silhouettes (SNS, MP), pp. 116–119.
ICPR-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.
ICPR-v2-2004-KaneS #classification #image #learning: Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification (MJK, AES), pp. 479–482.
ICPR-v2-2004-SebeCHG #approach #detection: Skin Detection: A Bayesian Network Approach (NS, IC, TSH, TG), pp. 903–906.
ICPR-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.
ICPR-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.
ICPR-v3-2004-GurwiczL #agile #estimation #kernel: Rapid Spline-based Kernel Density Estimation for Bayesian Networks (YG, BL), pp. 700–703.
ICPR-v3-2004-IwahoriWKF #artificial reality #modelling: Neural Network Based Modeling and Color Rendering for Mixed Reality (YI, RJW, HK, KF), pp. 198–201.
ICPR-v3-2004-UnsalanB #detection #image #multi: A System to Detect Houses and Residential Street Networks in Multispectral Satellite Images (CÜ, KLB), pp. 49–52.
ICPR-v4-2004-ChenC04a #bidirectional #dependence #learning: Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies (JC, NSC), pp. 593–596.
ICPR-v4-2004-DebiollesOA #using: Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks (AD, LO, PA), pp. 573–576.
ICPR-v4-2004-KuzmenkoZ #self: Structure Relaxation Method for Self-Organizing Neural Networks (AK, NZ), pp. 589–592.
ICPR-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.
ICPR-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.
ICPR-v4-2004-MizukamiWT #approximate #architecture: A Proposal of Neural Network Architecture for Non-Linear Function Approximation (YM, YW, KT), pp. 605–608.
ICPR-v4-2004-NandedkarB #architecture #classification #fuzzy: A Fuzzy Min-Max Neural Network Classifier with Compensatory Neuron Architecture (AVN, PKB), pp. 553–556.
ICPR-v4-2004-OuMF #classification #multi #using: Multiclass Pattern Classification Using Neural Networks (GO, YLM, LAF), pp. 585–588.
KDD-2004-AiroldiF: Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.
KDD-2004-JaroszewiczS #using: Interestingness of frequent itemsets using Bayesian networks as background knowledge (SJ, DAS), pp. 178–186.
KDD-2004-SmithE #framework: A Bayesian network framework for reject inference (ATS, CE), pp. 286–295.
KDD-2004-WrightY #distributed #privacy #semistructured data: Privacy-preserving Bayesian network structure computation on distributed heterogeneous data (RNW, ZY), pp. 713–718.
KDD-2004-WuGH #clustering #mining #using: Mining scale-free networks using geodesic clustering (AYW, MG, JH), pp. 719–724.
KR-2004-GonzalesP #elicitation: GAI Networks for Utility Elicitation (CG, PP), pp. 224–234.
LSO-2004-JohnM #collaboration: Knowledge Networks — Managing Collaborative Knowledge Spaces (MJ, RM), pp. 165–171.
SIGIR-2004-LuC #peer-to-peer #retrieval: Merging retrieval results in hierarchical peer-to-peer networks (JL, JC), pp. 472–473.
PLDI-2004-ZhuangP #parallel #thread: Balancing register allocation across threads for a multithreaded network processor (XZ, SP), pp. 289–300.
SAC-2004-AntoniouVPHJ #generative #simulation: A discrete event based simulation environment for enhanced UMTS 3^rd generation networks (JA, VV, AP, GH, NJ), pp. 369–370.
SAC-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.
SAC-2004-BuchholzB #adaptation: Replica placement in adaptive content distribution networks (SB, TB), pp. 1705–1710.
SAC-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.
SAC-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.
SAC-2004-JiangWM #thread: Protein threading with residue-environment matching by artificial neural networks (NJ, WXW, IM), pp. 209–210.
SAC-2004-KayssiE #named #realtime: EmuNET: a real-time network emulator (AIK, AEHM), pp. 357–362.
SAC-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.
SAC-2004-MameiZ #coordination #distributed #self #tuple: Self-maintained distributed tuples for field-based coordination in dynamic networks (MM, FZ), pp. 479–486.
SAC-2004-MinOAK #communication: Communication delay in hypercubic networks with LRD traffic (GM, MOK, IUA, DDK), pp. 347–351.
SAC-2004-PrigourisPMHM #independence: A network independent broker for obtaining the position of nomadic users (NP, GP, GFM, SH, LFM), pp. 1206–1207.
SAC-2004-ZhouL #classification: Regularized B-spline network and its application to heart arrhythmia classification (JZ, LL), pp. 291–295.
ASPLOS-2004-EkanayakeKM #power management: An ultra low-power processor for sensor networks (VNE, CKI, RM), pp. 27–36.
DAC-2004-NolletMVMV: Operating-system controlled network on chip (VN, TM, DV, JYM, SV), pp. 256–259.
DAC-2004-SilveiraP #algorithm #reduction: Exploiting input information in a model reduction algorithm for massively coupled parasitic networks (LMS, JRP), pp. 385–388.
DAC-2004-SridharaS #framework: Coding for system-on-chip networks: a unified framework (SRS, NRS), pp. 103–106.
DAC-2004-WuC #analysis #design #performance: Efficient power/ground network analysis for power integrity-driven design methodology (SWW, YWC), pp. 177–180.
DATE-DF-2004-ChenLHBB #design: Utilizing Formal Assertions for System Design of Network Processors (XC, YL, HH, LNB, FB), pp. 126–133.
DATE-DF-2004-FerrerGFAC #implementation #logic #named #programmable: NeuroFPGA — Implementing Artificial Neural Networks on Programmable Logic Devices (DF, RG, RF, JPA, RC), pp. 218–223.
DATE-DF-2004-FummiMMPP #analysis #architecture #industrial #modelling: Modeling and Analysis of Heterogeneous Industrial Networks Architectures (FF, SM, MM, GP, MP), pp. 342–344.
DATE-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.
DATE-DF-2004-PapaefstathiouKZ #performance: Software Processing Performance in Network Processors (IP, GK, NZ), pp. 186–191.
DATE-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.
DATE-v1-2004-BansalGDNG #architecture #configuration management: Network Topology Exploration of Mesh-Based Coarse-Grain Reconfigurable Architectures (NB, SG, ND, AN, RG), pp. 474–479.
DATE-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.
DATE-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.
DATE-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.
DATE-v2-2004-AcquavivaLB #power management: Power-Aware Network Swapping for Wireless Palmtop PCs (AA, EL, AB), pp. 858–863.
DATE-v2-2004-GrunewaldNPR #multi: A Mapping Strategy for Resource-Efficient Network Processing on Multiprocessor SoC (MG, JCN, MP, UR), pp. 758–763.
DATE-v2-2004-JalabertMBM: ×pipesCompiler: A Tool for Instantiating Application Specific Networks on Chip (AJ, SM, LB, GDM), pp. 884–889.
DATE-v2-2004-KadayifK #energy: Tuning In-Sensor Data Filtering to Reduce Energy Consumption in Wireless Sensor Networks (IK, MTK), pp. 852–857.
DATE-v2-2004-LaouamriA #protocol #testing #using: Enhancing Testability of System on Chips Using Network Management Protocols (OL, CA), pp. 1370–1371.
DATE-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.
DATE-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.
DATE-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.
DATE-v2-2004-WangTC #optimisation: Thermal and Power Integrity Based Power/Ground Networks Optimization (TYW, JLT, CCPC), pp. 830–835.
DATE-v2-2004-ZhangGZJ #logic #optimisation #synthesis: Synthesis and Optimization of Threshold Logic Networks with Application to Nanotechnologies (RZ, PG, LZ, NKJ), pp. 904–909.
HPDC-2004-QiaoSD #empirical #multi #predict: An Empirical Study of the Multiscale Predictability of Network Traffic (YQ, JAS, PAD), pp. 66–76.
HPDC-2004-ZangrilliL #monitoring #using: Using Passive Traces of Application Traffic in a Network Monitoring System (MZ, BL), pp. 77–86.
LCTES-2004-WillmannBP #architecture #interface #named #programmable: Spinach: a liberty-based simulator for programmable network interface architectures (PW, MB, VSP), pp. 20–29.
OSDI-2004-GunawiAA: Deploying Safe User-Level Network Services with icTCP (HSG, ACAD, RHAD), pp. 317–332.
PDP-2004-AlbrechtHD #embedded #multi #thread: Cooperative Software Multithreading to Enhance Utilization of Embedded Processors for Network Applications (CA, RH, ACD), pp. 300–307.
PDP-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–?.
PDP-2004-ArdaizN #deployment #framework #internet #named #programmable: Xweb: A Framework for Application Network Deployment in a Programmable Internet Service Infrastructure (OA, LN), p. 398–?.
PDP-2004-AvreskyVM #scalability: Dynamically Scaling System Area Networks (DRA, YV, MM), pp. 22–27.
PDP-2004-CanoM #ad hoc #mobile: Group Mobility Impact over TCP and CBR Traffic in Mobile Ad Hoc Networks (JCC, PM), pp. 382–389.
PDP-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.
DATE-2005-MelloMCM04 #multi #named: MultiNoC: A Multiprocessing System Enabled by a Network on Chip (AM, LM, NC, FGM), pp. 234–239.
FoSSaCS-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.
STOC-2004-AzarR: The zero-one principle for switching networks (YA, YR), pp. 64–71.
STOC-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.
STOC-2004-Tardos #game studies: Network games (ÉT), pp. 341–342.
CSL-2004-Rohde: Moving in a Crumbling Network: The Balanced Case (PR), pp. 310–324.
LICS-2004-AbdullaDM #multi: Multi-Clock Timed Networks (PAA, JD, PM), pp. 345–354.
ECDL-2003-MeierSHS #named #social: SozioNet: Networking Social Science Resources (WM, NS, SH, RS), pp. 245–256.
ICDAR-2003-ChoiCK #generative #online: Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers (HIC, SJC, JHK), p. 995–?.
ICDAR-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.
ICDAR-2003-ChoK #modelling #online #recognition: Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition (SJC, JHK), pp. 207–211.
ICDAR-2003-ShimizuOWK #image #learning: Mirror Image Learning for Autoassociative Neural Networks (SS, WO, TW, FK), pp. 804–808.
ICDAR-2003-SimardSP #analysis #documentation #visual notation: Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis (PYS, DS, JCP), pp. 958–962.
ICDAR-2003-YouK #approach #segmentation #string #using: An approach for locating segmentation points of handwritten digit strings using a neural network (DY, GK), p. 142–?.
SIGMOD-2003-CranorJSS #database #named: Gigascope: A Stream Database for Network Applications (CDC, TJ, OS, VS), pp. 647–651.
SIGMOD-2003-KornMZ #correlation #named #visual notation: IPSOFACTO: A Visual Correlation Tool for Aggregate Network Traffic Data (FK, SM, YZ), p. 677.
SIGMOD-2003-MaddenFHH #design #query: The Design of an Acquisitional Query Processor For Sensor Networks (SM, MJF, JMH, WH), pp. 491–502.
VLDB-2003-BawaBA #documentation #privacy: Privacy-Preserving Indexing of Documents on the Network (MB, RJBJ, RA), pp. 922–933.
VLDB-2003-KornMZ #database #monitoring #problem #quality: Checks and Balances: Monitoring Data Quality Problems in Network Traffic Databases (FK, SM, YZ), pp. 536–547.
VLDB-2003-PapadiasZMT #database #query: Query Processing in Spatial Network Databases (DP, JZ, NM, YT), pp. 802–813.
VLDB-2003-Shenker: The Data-Centric Revolution in Networking (SS), p. 15.
ICSM-2003-QuahT #metric #object-oriented #predict #quality #using: Application of Neural Networks for Software Quality Prediction Using Object-Oriented Metrics (TSQ, MMTT), p. 116–?.
ICALP-2003-BergerBBCR: Degree Distribution of the FKP Network Model (NB, BB, CB, JTC, OR), pp. 725–738.
ICALP-2003-BugliesiCPS: Secrecy in Untrusted Networks (MB, SC, AP, VS), pp. 969–983.
ICALP-2003-Fiat: Some Issues Regarding Search, Censorship, and Anonymity in Peer to Peer Networks (AF), p. 33.
SEFM-2003-CarboneNS #formal method #trust: A Formal Model for Trust in Dynamic Networks (MC, MN, VS), p. 54–?.
CHI-2003-McDonald #collaboration #comparative #evaluation #recommendation #social: Recommending collaboration with social networks: a comparative evaluation (DWM), pp. 593–600.
CAiSE-2003-GansJLS #modelling #simulation: Deliberation in a Modeling and Simulation Environment for Inter-organizational Networks (GG, MJ, GL, DS), pp. 242–257.
CAiSE-2003-LoserSWN #integration #peer-to-peer: Information Integration in Schema-Based Peer-To-Peer Networks (AL, WS, MW, WN), pp. 258–272.
CAiSE-2003-PapazoglouKY #peer-to-peer: Leveraging Web-Services and Peer-to-Peer Networks (MPP, BJK, JY), pp. 485–501.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2003-BelgacemCR #detection: Detection of Cardiac Arrhythmias By Neural Networks (NB, MAC, FBR), pp. 414–417.
ICEIS-v2-2003-BendouM #learning #semistructured data: Learning Bayesian Networks From Noisy Data (MB, PM), pp. 26–33.
ICEIS-v2-2003-CamposGM #abduction #probability #using: Partial Abductive Inference in Bayesian Networks By Using Probability Trees (LMdC, JAG, SM), pp. 83–91.
ICEIS-v2-2003-ColaceSFV #learning #ontology: Ontology Learning Through Bayesian Networks (FC, MDS, PF, MV), pp. 430–433.
ICEIS-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.
ICEIS-v2-2003-HogoLS #clustering #using: Conventional Versus Interval Clustering Using Kohonen Networks (MH, PL, MS), pp. 250–257.
ICEIS-v2-2003-IsikK #problem: Partially Connected Neural Networks for Mapping Problems (CI, SK), pp. 469–473.
ICEIS-v2-2003-KeeniGS #learning #on the #performance #using: On Fast Learning of Neural Networks Using Back Propagation (KK, KG, HS), pp. 266–271.
ICEIS-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.
ICEIS-v2-2003-KoskivaaraB: An Artificial Neural Network Based Decision Support System for Budgeting (EK, BB), pp. 108–114.
ICEIS-v2-2003-NastacM #performance: An Efficient Procedure for Artificial Neural Networks Retraining (DIN, RM), pp. 324–329.
ICEIS-v2-2003-NetoCMG #analysis #simulation #using: Simulating Data Envelopment Analysis Using Neural Networks (LBN, PHGC, JCCBSdM, EGG), pp. 244–249.
ICEIS-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.
ICEIS-v2-2003-SolvangDS #flexibility #fuzzy #logic: Applying Fuzzy Logic and Neural Network for Quantifying Flexibility of Supply Chains (WDS, ZD, BS), pp. 557–561.
ICEIS-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.
ICEIS-v4-2003-PoggiBSC #collaboration #named: Collaborator — A Collaborative System for Heterogeneous Networks and Devices (AP, FB, MS, SC), pp. 477–480.
ICEIS-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.
CIKM-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.
CIKM-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.
CIKM-2003-Liben-NowellK #predict #problem #social: The link prediction problem for social networks (DLN, JMK), pp. 556–559.
CIKM-2003-LuC #hybrid #peer-to-peer #retrieval: Content-based retrieval in hybrid peer-to-peer networks (JL, JPC), pp. 199–206.
ECIR-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.
ICML-2003-BrownW #ambiguity #composition #learning #using: The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods (GB, JLW), pp. 67–74.
ICML-2003-MooreW #learning: Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning (AWM, WKW), pp. 552–559.
ICML-2003-RivestP: Combining TD-learning with Cascade-correlation Networks (FR, DP), pp. 632–639.
ICML-2003-WongMCW #detection: Bayesian Network Anomaly Pattern Detection for Disease Outbreaks (WKW, AWM, GFC, MMW), pp. 808–815.
ICML-2003-YamadaSU: Cross-Entropy Directed Embedding of Network Data (TY, KS, NU), pp. 832–839.
KDD-2003-HopcroftKKS #community #scalability: Natural communities in large linked networks (JEH, OK, BK, BS), pp. 541–546.
KDD-2003-KempeKT #social: Maximizing the spread of influence through a social network (DK, JMK, ÉT), pp. 137–146.
KDD-2003-PerngTGMH #data-driven #validation: Data-driven validation, completion and construction of event relationship networks (CSP, DT, GG, SM, JLH), pp. 729–734.
KDD-2003-WhiteS #algorithm: Algorithms for estimating relative importance in networks (SW, PS), pp. 266–275.
MLDM-2003-KimJ #using: Using Bayesian Networks to Analyze Medical Data (ICK, YGJ), pp. 317–327.
MLDM-2003-MagnussonV #sequence #using #visualisation: Visualizing Sequences of Texts Using Collocational Networks (CM, HV), pp. 276–283.
SEKE-2003-ThwinQ #maintenance #metric #object-oriented #using: Application of Neural Networks for Estimating Software Maintainability Using Object-Oriented Metrics (MMTT, TSQ), pp. 69–73.
SIGIR-2003-TsaiMT #classification #hybrid #image #using: Image classification using hybrid neural networks (CFT, KM, JT), pp. 431–432.
PLDI-2003-GeorgeB: Taming the IXP network processor (LG, MB), pp. 26–37.
ASE-2003-GuoCS #fault #predict: Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks (LG, BC, HS), pp. 249–252.
SAC-2003-AdwankarV #enterprise #mobile #pervasive: Mobile Agent based Pervasive Systems Manager for Enterprise Network (SA, VV), pp. 886–892.
SAC-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.
SAC-2003-DattaS #energy #protocol: A Simple and Energy-Efficient Routing Protocol for Radio Networks (AD, SS), pp. 1014–1018.
SAC-2003-Mahoney #detection: Network Traffic Anomaly Detection Based on Packet Bytes (MVM), pp. 346–350.
SAC-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.
SAC-2003-RamanCBDR #pervasive #resource management: Access-Controlled Resource Discovery for Pervasive Networks (SR, DEC, MB, SD, RLR), pp. 338–345.
SAC-2003-ZhuHY #using #web: Recognizing the Relations between Web Pages Using Artificial Neural Network (XZ, SH, YY), pp. 1217–1221.
DAC-2003-DescampsBGIP #design #using: Design of a 17-million gate network processor using a design factory (GED, SB, SG, SI, AP), pp. 844–849.
DAC-2003-FineZ #functional #generative #testing #using #verification: Coverage directed test generation for functional verification using bayesian networks (SF, AZ), pp. 286–291.
DAC-2003-LongH #distributed #reduction: Distributed sleep transistor network for power reduction (CL, LH), pp. 181–186.
DAC-2003-OMahonyYHW #design #using: Design of a 10GHz clock distribution network using coupled standing-wave oscillators (FO, CPY, MH, SSW), pp. 682–687.
DAC-2003-QianNS #random: Random walks in a supply network (HQ, SRN, SSS), pp. 93–98.
DAC-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.
DAC-2003-WangM #multi #optimisation #power management #using: On-chip power supply network optimization using multigrid-based technique (KW, MMS), pp. 113–118.
DAC-2003-ZhuYC #adaptation #algebra #analysis #approach #multi #using: Power network analysis using an adaptive algebraic multigrid approach (ZZ, BY, CKC), pp. 105–108.
DATE-2003-AndriahantenainaG #implementation: Micro-Network for SoC: Implementation of a 32-Port SPIN network (AA, AG), pp. 11128–11129.
DATE-2003-ChoiB #migration #using: Hierarchical Global Floorplacement Using Simulated Annealing and Network Flow Area Migration (WC, KB), pp. 11104–11105.
DATE-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.
DATE-2003-GriesKSK #case study #modelling #simulation: Comparing Analytical Modeling with Simulation for Network Processors: A Case Study (MG, CK, CS, KK), pp. 20256–20261.
DATE-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.
DATE-2003-MuellerSEW #integration #tool support: Dynamic Tool Integration in Heterogeneous Computer Networks (WM, TS, HJE, JW), pp. 10946–10953.
DATE-2003-NilssonMOJ #proximity: Load Distribution with the Proximity Congestion Awareness in a Network on Chip (EN, MM, JÖ, AJ), pp. 11126–11127.
DATE-2003-PaulinPB #challenge #framework #platform: Network Processing Challenges and an Experimental NPU Platform (PGP, CP, EB), pp. 20064–20069.
DATE-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.
DATE-2003-SoniRHRV #named #performance: NPSE: A High Performance Network Packet Search Engine (NS, NR, LBH, SR, GV), pp. 20074–20081.
DATE-2003-SurendraBN #reuse: Enhancing Speedup in Network Processing Applications by Exploiting Instruction Reuse with Flow Aggregation (GS, SB, SKN), pp. 10784–10789.
DATE-2003-VelenisPF #nondeterminism #performance: Reduced Delay Uncertainty in High Performance Clock Distribution Networks (DV, MCP, EGF), pp. 10068–10075.
HPCA-2003-HaoH: Active I/O Switches in System Area Networks (MH, MH), pp. 365–376.
HPCA-2003-ShangPJ #optimisation #scalability: Dynamic Voltage Scaling with Links for Power Optimization of Interconnection Networks (LS, LSP, NKJ), pp. 91–102.
HPCA-2003-TaylorLAA #architecture: Scalar Operand Networks: On-Chip Interconnect for ILP in Partitioned Architecture (MBT, WL, SPA, AA), pp. 341–353.
PDP-2003-Al-DubaiOM #3d #algorithm #scalability: A Scalable Plane-Based Broadcast Algorithm for 3D-Mesh Networks (AYAD, MOK, LMM), pp. 149–156.
PDP-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–?.
PDP-2003-ChiW: Routing Tree Construction for Interconnection Network with Irregular Topologies (HCC, WJW), pp. 157–164.
PDP-2003-MartinezFRLD #adaptation: Supporting Adaptive Routing in InfiniBand Networks (JCM, JF, AR, PL, JD), pp. 165–172.
PDP-2003-SethiB #ad hoc #named #security: CRESQ: Providing QoS and Security in Ad hoc Networks (PS, GB), p. 544–?.
PPoPP-2003-KimPR #concurrent #interface #programmable: Exploiting task-level concurrency in a programmable network interface (HyK, VSP, SR), pp. 61–72.
ESOP-2003-GeilenB #execution #process #requirements: Requirements on the Execution of Kahn Process Networks (MG, TB), pp. 319–334.
FASE-2003-JinELJ #analysis #composition #data flow #process: Modular Analysis of Dataflow Process Networks (YJ, RE, CL, JWJ), pp. 184–199.
STOC-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.
STOC-2003-AnshelevichDTW #design: Near-optimal network design with selfish agents (EA, AD, ÉT, TW), pp. 511–520.
STOC-2003-AzarR #multi: Management of multi-queue switches in QoS networks (YA, YR), pp. 82–89.
STOC-2003-ColeDR: Pricing network edges for heterogeneous selfish users (RC, YD, TR), pp. 521–530.
STOC-2003-GuptaKR #algorithm #approximate #design: Simpler and better approximation algorithms for network design (AG, AK, TR), pp. 365–372.
ICLP-2003-MoonMHK #ambiguity #integration #semantics #word: Integration of Semantic Networks for Corpus-Based Word Sense Disambiguation (YJM, KM, YH, PK), pp. 492–493.
SIGMOD-2002-CranorGJSS #interface #monitoring #named #performance #sql: Gigascope: high performance network monitoring with an SQL interface (CDC, YG, TJ, VS, OS), p. 623.
SIGMOD-2002-FungSG #database #named: COUGAR: the network is the database (WFF, DS, JG), p. 621.
SIGMOD-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.
SIGMOD-2002-KarbhariRXD #delivery #named: ACDN: a content delivery network for applications (PK, MR, ZX, FD), p. 619.
SIGMOD-2002-MaddenH #power management #query: Distributing queries over low-power wireless sensor networks (SM, JMH), p. 622.
VLDB-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.
ITiCSE-2002-Cassel #learning: Very active learning of network routing (LNC), p. 195.
ITiCSE-2002-FabregaMJM #learning: A virtual network laboratory for learning IP networking (LF, JM, TJ, DM), pp. 161–164.
ITiCSE-2002-RichardsW #concept: Illustrating networking concepts with wireless handheld devices (BR, NW), pp. 29–33.
CSMR-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.
ICALP-2002-BeierSS #data type #energy #geometry #using: Energy Optimal Routing in Radio Networks Using Geometric Data Structures (RB, PS, NS), pp. 366–376.
ICALP-2002-ChristerssonGL #ad hoc #bound: Gossiping with Bounded Size Messages in ad hoc Radio Networks (MC, LG, AL), pp. 377–389.
ICALP-2002-CzumajLZ #approximate #design #polynomial #problem: Polynomial-Time Approximation Schemes for the Euclidean Survivable Network Design Problem (AC, AL, HZ), pp. 973–984.
ICALP-2002-Radzik #bound: Improving Time Bounds on Maximum Generalised Flow Computations by Contracting the Network (TR), pp. 611–622.
CSCW-2002-MillenP #community #social: Stimulating social engagement in a community network (DRM, JFP), pp. 306–313.
CAiSE-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.
EDOC-2002-KrishnakumarS #adaptation #constraints #ubiquitous: Constraint Based Network Adaptation for Ubiquitous Applications (KTK, MS), p. 258–?.
ICEIS-2002-AshB #enterprise #implementation #staged: Staged Implementation of E-Business Networks through ERP (CGA, JMB), pp. 877–884.
ICEIS-2002-BaiL #recognition: Neural Networks and Wavelets for Face Recognition (LB, YL), pp. 334–340.
ICEIS-2002-CarvalhoDCDNA #database: Medical Data Base Exploration through Artificial Neural Networks (LFdC, CASD, HJTdC, DD, SMN, FMdA), pp. 455–459.
ICEIS-2002-Greene #enterprise #information management: Enterprise Information Systems and the Global Information Network: Change is Certain, Progress is Optional (TG), p. 5.
ICEIS-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.
ICEIS-2002-Hovanyi #component #reuse: Reusable Component Extraction from Intellingent Network Management Applications (DH), pp. 618–626.
ICEIS-2002-KieltykaK #energy #predict: The Application of Artificial Neural Networks for Heat Energy Use Prediction (LK, RK), pp. 526–529.
ICEIS-2002-LuzuriagaMC #communication #elicitation #enterprise #process #requirements: Managing Enterprise Communication Networks to Improve the Requirements Elicitation Process (JML, RM, AC), pp. 770–775.
ICEIS-2002-Srinivas #concept #java #security: Network Security Concepts and Java (RS), p. 23.
ICEIS-2002-Vellido #analysis #e-commerce: Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice (AV), pp. 439–445.
ICEIS-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.
ICEIS-2002-WeghornGW #internet #mobile: Linking Mobile Network Services to Internet Mail (HW, CG, DW), pp. 795–798.
CIKM-2002-Faloutsos #data mining #mining #self: Future directions in data mining: streams, networks, self-similarity and power laws (CF), p. 93.
CIKM-2002-KalogerakiGZ #peer-to-peer: A local search mechanism for peer-to-peer networks (VK, DG, DZY), pp. 300–307.
ECIR-2002-CamposFH #documentation #retrieval: A Layered Bayesian Network Model for Document Retrieval (LMdC, JMFL, JFH), pp. 169–182.
ECIR-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.
ICML-2002-ZhangL #bound: Representational Upper Bounds of Bayesian Networks (HZ, CXL), pp. 674–681.
ICPR-v1-2002-ClaudeWPB #classification #image: Contour Features for Colposcopic Image Classification by Artificial Neural Networks (IC, RW, PP, JCB), pp. 771–774.
ICPR-v1-2002-FrimanBLTK #approach: Recognizing Emphysema- A Neural Network Approach (OF, MB, ML, UT, HK), pp. 512–515.
ICPR-v1-2002-Souafi-BensafiPLE #classification #documentation: Bayesian Networks Classifiers Applied to Documents (SSB, MP, FL, HE), p. 483–?.
ICPR-v2-2002-CardotL #graph #pattern matching #pattern recognition #recognition: Graph of Neural Networks for Pattern Recognition (HC, OL), pp. 873–876.
ICPR-v2-2002-Fasel #analysis #robust #using: Robust Face Analysis using Convolutional Neural Networks (BF), pp. 40–43.
ICPR-v2-2002-GargPH #classification: Bayesian Networks as Ensemble of Classifiers (AG, VP, TSH), pp. 779–784.
ICPR-v2-2002-GiacintoR #classification #detection #multi: Intrusion Detection in Computer Networks by Multiple Classifier Systems (GG, FR), pp. 390–393.
ICPR-v2-2002-GrimPS #probability: Boosting in Probabilistic Neural Networks (JG, PP, PS), pp. 136–139.
ICPR-v2-2002-HuangSK #detection #using: Face Detection Using a Modified Radial Basis Function Neural Network (LLH, AS, HK), pp. 342–345.
ICPR-v2-2002-LiWZ #algorithm: Step Acceleration Based Training Algorithm for Feedforward Neural Networks (YL, KW, DZ), pp. 84–87.
ICPR-v2-2002-MurpheyL #classification #feature model #multi: Feature Extraction for a Multiple Pattern Classification Neural Network System (YLM, YL), pp. 220–223.
ICPR-v2-2002-TohM #approach #learning: A Global Transformation Approach to RBF Neural Network Learning (KAT, KZM), pp. 96–99.
ICPR-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.
ICPR-v3-2002-BarraezGDPR #composition: Modular Neural Networks for Seismic Tomography (DB, SGS, BD, MP, ER), pp. 407–410.
ICPR-v3-2002-ChartierL #image #learning: Learning and Extracting Edges from Images by a Modified Hopfield Neural Network (SC, RL), pp. 431–434.
ICPR-v3-2002-ChoudhuryRPP #detection #learning: Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection (TC, JMR, VP, AP), p. 789–?.
ICPR-v3-2002-KuritaTI #classification #image: A Neural Network Classifier for Occluded Images (TK, TT, YI), pp. 45–48.
ICPR-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.
ICPR-v4-2002-IwahoriWWI #implementation #self: Self-Calibration and Neural Network Implementation of Photometric Stereo (YI, YW, RJW, AI), pp. 359–362.
ICPR-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.
ICPR-v4-2002-StephensonMB #automation #recognition #speech: Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition (TAS, MMD, HB), p. 293–?.
ICPR-v4-2002-YeungC #detection: Parzen-Window Network Intrusion Detectors (DYY, CC), pp. 385–388.
KDD-2002-AntalGF #clustering #learning #on the: On the potential of domain literature for clustering and Bayesian network learning (PA, PG, GF), pp. 405–414.
KDD-2002-Boz: Extracting decision trees from trained neural networks (OB), pp. 456–461.
KDD-2002-LiangK #mining: Mining heterogeneous gene expression data with time lagged recurrent neural networks (YL, AK), pp. 415–421.
KDD-2002-MahoneyC #detection #learning #modelling #novel: Learning nonstationary models of normal network traffic for detecting novel attacks (MVM, PKC), pp. 376–385.
KR-2002-BeygelzimerR #complexity #learning: Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks (AB, IR), pp. 558–567.
KR-2002-Darwiche #approach #logic: A Logical Approach to Factoring Belief Networks (AD), pp. 409–420.
SEKE-2002-FarinaFO #automaton #modelling #probability #representation: Representing software usage models with stochastic automata networks (AGF, PF, FMO), pp. 401–407.
SIGIR-2002-GravesL #retrieval #using #video: Video retrieval using an MPEG-7 based inference network (AG, ML), pp. 339–346.
SIGIR-2002-LarsenI #documentation: The boomerang effect: retrieving scientific documents via the network of references and citations (BL, PI), pp. 397–398.
ICSE-2002-RomanJH #abstraction #mobile: Network abstractions for context-aware mobile computing (GCR, CJ, QH), pp. 363–373.
SAC-2002-Al-DubaiOM #scalability #towards: Towards a scalable broadcast in wormhole-switched mesh networks (AYAD, MOK, LMM), pp. 840–844.
SAC-2002-AljarehR #collaboration #multi #security: A task-based security model to facilitate collaboration in trusted multi-agency networks (SA, BNR), pp. 744–749.
SAC-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.
SAC-2002-ClarkSBLFLPJ: DANA (Digital Archive Network for Anthropology): a model for digital archiving (JTC, BMS, AB, FL, RF, JEL, WP, WJ), pp. 483–487.
SAC-2002-ElishRF #collaboration #learning: Evaluating collaborative software in supporting organizational learning with Bayesian Networks (MOE, DCR, JEF), pp. 992–996.
SAC-2002-FuC #polynomial: Cycle embedding in faulty hierarchical cubic networks (JSF, GHC), pp. 860–864.
SAC-2002-HurleyW #approach: An agent based approach to site selection for wireless networks (SH, RMW), pp. 574–577.
SAC-2002-KrugelTK #detection: Service specific anomaly detection for network intrusion detection (CK, TT, EK), pp. 201–208.
SAC-2002-ShahrabiOM #communication: Communication delay in wormhole-routed torus networks (AS, MOK, LMM), pp. 825–829.
SAC-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.
ASPLOS-2002-Estrin #architecture #challenge #research: Keynote address: Sensor network research: emerging challenges for architecture, systems, and languages (DE), pp. 1–4.
ASPLOS-2002-KimPR #interface #throughput #web: Increasing web server throughput with network interface data caching (HyK, VSP, SR), pp. 239–250.
ASPLOS-2002-LevisC #named #virtual machine: Maté: a tiny virtual machine for sensor networks (PL, DEC), pp. 85–95.
DAC-2002-MemikM #flexibility: A flexible accelerator for layer 7 networking applications (GM, WHMS), pp. 646–651.
DAC-2002-SuHSN: Congestion-driven codesign of power and signal networks (HS, JH, SSS, SRN), pp. 64–69.
DAC-2002-VaratkarM #analysis #design #multi: Traffic analysis for on-chip networks design of multimedia applications (GV, RM), pp. 795–800.
DAC-2002-WhelihanS #memory management #optimisation: Memory optimization in single chip network switch fabrics (DW, HS), pp. 530–535.
DAC-2002-YeMB #analysis #power management: Analysis of power consumption on switch fabrics in network routers (TTY, GDM, LB), pp. 524–529.
DAC-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.
DAC-2002-ZhengP #analysis #modelling #symmetry: Modeling and analysis of regular symmetrically structured power/ground distribution networks (HZ, LTP), pp. 395–398.
DATE-2002-BrandtnerW #power management #simulation: Hierarchical Simulation of Substrate Coupling in Mixed-Signal ICs Considering the Power Supply Network (TB, RW), pp. 1028–1032.
DATE-2002-GoossensWPM: Networks on Silicon: Combining Best-Effort and Guaranteed Services (KGWG, PW, AMGP, JLvM), pp. 423–425.
DATE-2002-KoranneC #problem #scheduling: Formulation of SOC Test Scheduling as a Network Transportation Problem (SK, VSC), p. 1125.
DATE-2002-MicheliB #design #paradigm: Networks on Chip: A New Paradigm for Systems on Chip Design (GDM, LB), pp. 418–419.
DATE-2002-SauerEKJ #design: The Fraunhofer Knowledge Network (FKN) for Training in Critical Design Disciplines (AS, GE, LK, WJ), p. 1129.
DATE-2002-SimunicB #power management: Managing Power Consumption in Networks on Chip (TS, SPB), pp. 110–116.
HPDC-2002-AllenWP #adaptation #using: Adaptive Timeout Discovery Using the Network Weather Service (MSA, RW, JSP), pp. 35–41.
HPDC-2002-DickensG #data transfer #evaluation #performance: An Evaluation of Object-Based Data Transfers on High Performance Networks (PMD, WG), pp. 255–264.
HPDC-2002-HeS #adaptation #coordination #named: IQ-RUDP: Coordinating Application Adaptation with Network Transport (QH, KS), pp. 369–378.
HPDC-2002-McCombsS #clustering #parallel: Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters (JRM, AS), pp. 143–149.
OSDI-2002-CastroDGRW #peer-to-peer: Secure Routing for Structured Peer-to-Peer Overlay Networks (MC, PD, AJG, AITR, DSW), pp. 299–314.
OSDI-2002-ElsonGE #fine-grained #using: Fine-Grained Network Time Synchronization Using Reference Broadcasts (JE, LG, DE), pp. 147–163.
OSDI-2002-MaddenFHH #ad hoc #named: TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks (SM, MJF, JMH, WH), pp. 131–146.
OSDI-2002-VahdatYWMKCB #scalability: Scalability and Accuracy in a Large-Scale Network Emulator (AV, KY, KW, PM, DK, JSC, DB), pp. 271–284.
OSDI-2002-WhiteLSRGNHBJ #distributed: An Integrated Experimental Environment for Distributed Systems and Networks (BW, JL, LS, RR, SG, MN, MH, CB, AJ), pp. 255–270.
PDP-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.
PDP-2002-GrosspietschM #communication: Routing to Support Communication in Dependable Networks (KEG, EM), p. 71–?.
PDP-2002-PorrmannWKR #configuration management #hardware #implementation: Implementation of Artificial Neural Networks on a Reconfigurable Hardware Accelerator (MP, UW, HK, UR), p. 243–?.
PDP-2002-PuenteGB #framework #multi #named #performance: SICOSYS: An Integrated Framework for studying Interconnection Network Performance in Multiprocessor Systems (VP, JAG, RB), pp. 15–22.
PDP-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.
PDP-2002-Volbert #ad hoc #simulation #using: A Simulation Environment for Ad Hoc Networks Using Sector Subdivision (KV), p. 419–?.
WRLA-J-1996-PitaM02 #maude #object-oriented #specification: A Maude specification of an object-oriented model for telecommunication networks (IP, NMO), pp. 407–439.
STOC-2002-Roughgarden #independence: The price of anarchy is independent of the network topology (TR), pp. 428–437.
WRLA-2002-EkerKLLT #biology #execution #logic #modelling: Pathway Logic: Executable Models of Biological Networks (SE, MK, KL, PL, CLT), pp. 144–161.
WRLA-2002-StehrT #maude #programming language #specification: Plan in Maude: Specifying an Active Network Programming Language (MOS, CLT), pp. 240–260.
ECDL-2001-Mutschke #data flow #information retrieval #using: Enhancing Information Retrieval in Federated Bibliographic Data Sources Using Author Network Based Stratagems (PM), pp. 287–299.
ICDAR-2001-BourgeoisETD #documentation #image: Networking Digital Document Images (FLB, HE, ET, JD), pp. 379–383.
ICDAR-2001-ChoK #modelling #online #recognition: Bayesian Network Modeling of Strokes and their Relationships for On-line Handwriting Recognition (SJC, JHK), pp. 86–90.
ICDAR-2001-EtoS #recognition #using: Mathematical Formula Recognition Using Virtual Link Network (YE, MS), pp. 762–767.
ICDAR-2001-LejtmanG #online #using #verification: On-line Handwritten Signature Verification Using Wavelets and Back-propagation Neural Networks (DZL, SEG), pp. 992–996.
ICDAR-2001-Souafi-BensafiPLE #logic #using: Logical Labeling Using Bayesien Networks (SSB, MP, FL, HE), pp. 832–836.
JCDL-2001-CooperG: Creating trading networks of digital archives (BFC, HGM), pp. 353–362.
VLDB-2001-Sol #database #embedded #ubiquitous: Ambient Intelligence with the Ubiquitous Network, the Embedded Computer Devices and the Hidden Databases (EJS), p. 14.
ITiCSE-2001-CarnianiD #comprehension #education: The NetWire emulator: a tool for teaching and understanding networks (EC, RD), pp. 153–156.
ITiCSE-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.
ITiCSE-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.
ITiCSE-2001-RickmanMMH #education: Enhancing the computer networking curriculum (JR, MM, GM, PJH), pp. 157–160.
ICSM-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.
ICALP-2001-CaragiannisFKPR: Fractional Path Coloring with Applications to WDM Networks (IC, AF, CK, SP, HR), pp. 732–743.
ICALP-2001-MargaraS #decidability #graph: Decidable Properties of Graphs of All-Optical Networks (LM, JS), pp. 518–529.
CHI-2001-CarrollR #community: Better home shopping or new democracy? evaluating community network outcomes (JMC, MBR), pp. 372–379.
SVIS-2001-CrescenziI #protocol #taxonomy #tool support #towards #visualisation: Towards a Taxonomy of Network Protocol Visualization Tools (PC, GI), pp. 241–255.
ICEIS-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.
ICEIS-v1-2001-StojanovicDS #development: Exploiting Temporal GIS and Spatio-Temporal Data to Enhance Telecom Network Planning and Development (DS, SDK, ZS), pp. 88–95.
ICEIS-v1-2001-ThorntonR #artificial reality #data mining #mining #using: Using Virtual Reality Data Mining for Network Management (KEBT, CR), pp. 340–344.
ICEIS-v2-2001-BaumolW: Intentions Value Network (UB, RW), pp. 1075–1080.
ICEIS-v2-2001-MolliSGRSV: Integrating Network Services for Virtual Teams (PM, HSM, CG, PR, RS, VV), pp. 1034–1039.
ICEIS-v2-2001-Riedl #architecture #corba #distributed #tool support #xml: A CORBA/XML-Based Architecture for Distributed Network Planning Tools (AR), pp. 926–933.
ICML-2001-TaoBW #approach #multi: A Multi-Agent Policy-Gradient Approach to Network Routing (NT, JB, LW), pp. 553–560.
KDD-2001-DomingosR #mining: Mining the network value of customers (PMD, MR), pp. 57–66.
KDD-2001-MahHL #mining: Funnel report mining for the MSN network (TM, HH, YL), pp. 450–455.
LSO-2001-DeckerJ #experience: The Integrated Corporate Information Network iCoIN: A Comprehensive, Web-Based Experience Factory (BD, AJ), pp. 192–206.
MLDM-2001-Krzyzak #classification #learning #using: Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks (AK), pp. 217–225.
MLDM-2001-PhamWS #classification #detection: Face Detection by Aggregated Bayesian Network Classifiers (TVP, MW, AWMS), pp. 249–262.
POPL-2001-BhargavanCMG #automaton #monitoring #what: What packets may come: automata for network monitoring (KB, SC, PJM, CAG), pp. 206–219.
SIGAda-2001-Gantsou #ada #communication #distributed #multi #simulation: Targeting Ada95/DSA for distributed simulation of multiprotocol communication networks (DG), pp. 91–96.
RE-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.
RE-2001-Hall01a #modelling #security #specification #validation: Specification Modeling and Validation Applied to Network Security Gateways (RJH), pp. 289–291.
ASE-2001-Hall #modelling #product line #security #specification #validation: Specification Modeling and Validation Applied to a Family of Network Security Products (RJH), pp. 71–80.
ICSE-2001-JhaW #analysis: Survivability Analysis of Network Systems (SJ, JMW), pp. 307–317.
ICSE-2001-RomanHH #ad hoc #consistency: Consistent Group Membership in Ad Hoc Networks (GCR, QH, AH), pp. 381–388.
SAC-2001-AnwarY #database #object-oriented: Integrating OO road network database, cases and knowledge for route finding (MAA, TY), pp. 215–219.
SAC-2001-CiSN #performance #using: Improving performance of MAC layer by using congestion control/avoidance methods in wireless network (SC, HS, GN), pp. 420–424.
SAC-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.
SAC-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.
SAC-2001-MinFO #adaptation #analysis: Analysis of adaptive wormhole-routed torus networks with IPP input traffic (GM, JDF, MOK), pp. 494–498.
SAC-2001-MinhA #communication #distributed #mobile #replication: User profile replication with caching for distributed location management in mobile communication networks (HNM, HRvA), pp. 381–386.
SAC-2001-SerearunoH #comparison #multi: A comparison in training time of the single and multiple-output MLP neural networks (MS, TH), pp. 32–35.
SAC-2001-VasilakosAP: Application of computational intelligence techniques in active networks (AVV, KGA, WP), pp. 448–455.
SAC-2001-WangZZ: Perfect phylogenetic networks with recombination (LW, KZ, LZ), pp. 46–50.
SAC-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.
SAC-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.
DAC-2001-BhanjaR #dependence #modelling #probability #process #using: Dependency Preserving Probabilistic Modeling of Switching Activity using Bayesian Networks (SB, NR), pp. 209–214.
DAC-2001-DallyT: Route Packets, Not Wires: On-Chip Interconnection Networks (WJD, BT), pp. 684–689.
DAC-2001-KarimNDR #architecture #communication: On-Chip Communication Architecture for OC-768 Network Processors (FK, AN, SD, RRR), pp. 678–683.
DAC-2001-TanS #modelling #optimisation #performance: Fast Power/Ground Network Optimization Based on Equivalent Circuit Modeling (SXDT, CJRS), pp. 550–554.
DATE-2001-CichonB #data type: Annotated data types for addressed token passing networks (GC, WB), p. 801.
DATE-2001-DoboliV #analysis #scalability: A regularity-based hierarchical symbolic analysis method for large-scale analog networks (AD, RV), p. 806.
DATE-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.
DATE-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.
DATE-2001-SilvaSAGLSTSRNSW #design: Design methodology for PicoRadio networks (JLdSJ, JS, MJA, CG, SFL, RCS, TT, MS, JMR, BN, ALSV, PKW), pp. 314–325.
HPCA-2001-ThottethodiRM #multi #self: Self-Tuned Congestion Control for Multiprocessor Networks (MT, ARL, SSM), pp. 107–118.
HPDC-2001-JinYCA: Network Characterization Service (NCS) (GJ, GY, BRC, DAA), p. 289–?.
HPDC-2001-LopezO #evaluation: Evaluation of a Resource Selection Mechanism for Complex Network Services (JCL, DRO), pp. 171–180.
HPDC-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.
HPDC-2001-SanderAFR #policy: End-to-End Provision of Policy Information for Network QoS (VS, WAA, ITF, AJR), pp. 115–126.
LCTES-OM-2001-WagnerL #c #compilation #design #industrial: C Compiler Design for an Industrial Network Processor (JW, RL), pp. 155–164.
PDP-2001-BaydalLD: A Congestion Control Mechanism for Wormhole Networks (EB, PL, JD), pp. 19–26.
PDP-2001-BerenbrinkBS #simulation: SIMLAB-A Simulation Environment for Storage Area Networks (PB, AB, CS), pp. 227–234.
PDP-2001-CourtraiMR #communication #java #performance: Java Objects Communication on a High Performance Network (LC, YM, FR), pp. 203–210.
PDP-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.
PDP-2001-MoleroSSD #on the: On the Impact of Message Packetization in Networks of Workstations with Irregular Topology (XM, FS, VS, JD), pp. 3–10.
PDP-2001-Ruckert #architecture: ULSI Architectures for Artificial Neural Networks (UR0), pp. 436–442.
PPoPP-2001-CarreraB #clustering #performance: Efficiency vs. portability in cluster-based network servers (EVC, RB), pp. 113–122.
PPoPP-2001-RencuzogullariD #adaptation #parallel: Dynamic adaptation to available resources for parallel computing in an autonomous network of workstations (UR, SD), pp. 72–81.
SOSP-2001-AndersenBKM: Resilient Overlay Networks (DGA, HB, MFK, RM), pp. 131–145.
SOSP-2001-HeidemannSIGEG #low level #performance: Building Efficient Wireless Sensor Networks with Low-Level Naming (JSH, FS, CI, RG, DE, DG), pp. 146–159.
SOSP-2001-MuthitacharoenCM #file system: A Low-Bandwidth Network File System (AM, BC, DM), pp. 174–187.
SOSP-2001-SpalinkKPG #robust #using: Building a Robust Software-Based Router Using Network Processors (TS, SK, LLP, YG), pp. 216–229.
FASE-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.
STOC-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.
CAV-2001-AlurW #implementation #protocol #refinement #verification: Verifying Network Protocol Implementations by Symbolic Refinement Checking (RA, BYW), pp. 169–181.
ECDL-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.
VLDB-2000-SchaeferBBJ: Controlling Data Warehouses with Knowledge Networks (ES, JDB, AB, MJ), pp. 715–718.
VLDB-2000-YuV #bound #fault #performance: Efficient Numerical Error Bounding for Replicated Network Services (HY, AV), pp. 123–133.
ITiCSE-2000-NelsonN #education #open source #using: Teaching computer networking using open source software (DN, YMN), pp. 13–16.
ICALP-2000-MargaraS #problem: Wavelength Assignment Problem on All-Optical Networks with k Fibres per Link (LM, JS), pp. 768–779.
WLC-2000-Csuhaj-VarjuS: Networks of Watson-Crick D0L Systems (ECV, AS), pp. 134–150.
CHI-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.
CSCW-2000-KumD #collaboration #realtime: Supporting real-time collaboration over wide area networks (HCK, PD), p. 355.
ICEIS-2000-ArribiC #architecture #distributed #self: A Distributed Agents Architecture for Self-Fault Management in Corporative Networks (JA, VC), pp. 385–389.
ICEIS-2000-DiazEL #communication: Expert System-Based Alarm Management in Communication Networks (SD, JIE, JL), pp. 116–120.
ICEIS-2000-Emery #case study: The Use of Information Theory in the Construction of a Bayesian Belief Network: A Case Study (DEE), pp. 121–126.
ICEIS-2000-KalininNSP #process: Usage of Instrument of Neural Networks in Control of Complex Chemical-Technological Processes (AK, LN, ES, SP), pp. 521–524.
ICEIS-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.
ICEIS-2000-MilhoF #development: A User-Friendly Development Tool for Medical Diagnosis Based on Bayesian Networks (IM, ALNF), pp. 176–180.
ICEIS-2000-WatkinsC: Decoding BCM Codes With a New Competitive Neural Network (FJW, RAC), pp. 227–234.
ICML-2000-AndersonDP #behaviour #composition #student: Behavioral Cloning of Student Pilots with Modular Neural Networks (CWA, BAD, DAP), pp. 25–32.
ICML-2000-CampbellTB #polynomial #reduction: Dimension Reduction Techniques for Training Polynomial Networks (WMC, KT, SVB), pp. 119–126.
ICML-2000-KimN #learning #set: Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets (ZWK, RN), pp. 479–486.
ICML-2000-Stone: TPOT-RL Applied to Network Routing (PS), pp. 935–942.
ICPR-v1-2000-AyersC #recognition #using #video: Scenario Recognition from Video Using a Hierarchy of Dynamic Belief Networks (DA, RC), pp. 1835–1838.
ICPR-v1-2000-GagaudakisRC #database #image #using #visualisation: Using CBIR and Pathfinder Networks for Image Database Visualization (GG, PLR, CC), pp. 5052–5055.
ICPR-v1-2000-HeidemannLR #classification #visual notation: A System for Various Visual Classification Tasks Based on Neural Networks (GH, DL, HJR), pp. 1009–1012.
ICPR-v1-2000-KampkeES #estimation #image #using: Estimation of Superresolution Images Using Causal Networks: The One-Dimensional Case (TK, AE, CS), pp. 1584–1587.
ICPR-v1-2000-KrugerHS #realtime #using: Affine Real-Time Face Tracking using Gabor Wavelet Networks (VK, AH, GS), pp. 1127–1130.
ICPR-v1-2000-PiaterG #learning #recognition: Feature Learning for Recognition with Bayesian Networks (JHP, RAG), pp. 1017–1020.
ICPR-v2-2000-AizenbergABF #image #multi #recognition: Image Recognition on the Neural Network Based on Multi-Valued Neurons (INA, NNA, CB, EF), pp. 2989–2992.
ICPR-v2-2000-BaesensVVD #feature model #optimisation: Wrapped Feature Selection by Means of Guided Neural Network Optimization (BB, SV, JV, GD), pp. 2113–2116.
ICPR-v2-2000-ChenZN: Blind Separation Based on an Evolutionary Neural Network (YWC, XYZ, ZN), pp. 2973–2976.
ICPR-v2-2000-FyfeL #analysis #canonical #correlation: Canonical Correlation Analysis Neural Networks (CF, PLL), pp. 2977–2980.
ICPR-v2-2000-GiacconeTJ #segmentation: Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.
ICPR-v2-2000-JainJV #experience #using: Short-Term Water Demand Forecasting Using Artificial Neural Networks: IIT Kanpur Experience (AJ, UCJ, AKV), pp. 2459–2462.
ICPR-v2-2000-KeglKN #classification #complexity #learning: Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification (BK, AK, HN), pp. 2081–2086.
ICPR-v2-2000-KimPL #design: A New Methodology to the Design of Associative Memories Based on Cellular Neural Networks (HYK, JP, SWL), pp. 2965–2968.
ICPR-v2-2000-KoprinskaK #evolution #fuzzy #recognition: Evolving Fuzzy Neural Network for Camera Operations Recognition (IK, NKK), pp. 2523–2526.
ICPR-v2-2000-LiG #detection #optimisation: Combining Feature Optimization into Neural Network Based Face Detection (SZL, QG), pp. 2814–2817.
ICPR-v2-2000-LiuG: Outlier Rejection with MLPs and Variants of RBF Networks (JL, PDG), pp. 2680–2683.
ICPR-v2-2000-LohRW #incremental #learning #named: IFOSART: A Noise Resistant Neural Network Capable of Incremental Learning (AWKL, MCR, GAWW), pp. 2985–2988.
ICPR-v2-2000-MesserK #algorithm #design #performance: Fast Unit Selection Algorithm for Neural Network Design (KM, JK), pp. 2981–2984.
ICPR-v2-2000-Ruiz-PinalesL #recognition #using: Cursive Handwriting Recognition Using the Hough Transform and a Neural Network (JRP, EL), pp. 2231–2234.
ICPR-v2-2000-SopenaA #named #parsing: ANNP: A Neural Network Parser for Real World Texts (JMS, MAA), pp. 2969–2972.
ICPR-v2-2000-StainvasI #architecture #hybrid #recognition: Blurred Face Recognition via a Hybrid Network Architecture (IS, NI), pp. 2805–2808.
ICPR-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.
ICPR-v2-2000-UgenaAA #independence #recognition #speech: Speaker-Independent Speech Recognition by Means of Functional-Link Neural Networks (AU, FdA, MEA), pp. 6018–6021.
ICPR-v2-2000-VillelaA #recognition #using: Object Recognition by Indexing Using Neural Networks (PRV, JHSA), pp. 6001–6004.
ICPR-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.
ICPR-v2-2000-WuZZ #classification #recognition: A Neural Network Based Classifier for Handwritten Chinese Character Recognition (MW, BZ, LZ), pp. 2561–2564.
ICPR-v3-2000-KimC #image #segmentation #sequence #using: Segmentation of Image Sequences Using SOFM Networks (JK, TC), pp. 3877–3880.
ICPR-v3-2000-MilanovaCC #estimation: Cellular Neural Networks for Motion Estimation (MGM, ACC, MVC), pp. 3827–3830.
ICPR-v3-2000-Papamarkos #reduction #using: Using Local Features in a Neural Network Based Gray-Level Reduction Technique (NP), pp. 7037–7040.
ICPR-v3-2000-Sakai: A Network Mechanism for the Determination of Apparent Orientation (KS), pp. 3967–3970.
ICPR-v4-2000-BareaBMLB #using: E.O.G. Guidance of a Wheelchair Using Neural Networks (RB, LB, MM, ELG, LMB), pp. 4668–4671.
ICPR-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.
KDD-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.
KR-2000-Condotta: The Augmented Interval and Rectangle Networks (JFC), pp. 571–579.
KR-2000-Vidal #constraints: Controllability characterization and checking in Contingent Temporal Constraint Networks (TV), pp. 559–570.
KR-2000-Yelland #logic: An Alternative Combination of Bayesian Networks and Description Logics (PMY), pp. 225–234.
SIGIR-2000-ManevitzY #classification #documentation #using: Document classification on neural networks using only positive examples (LMM, MY), pp. 304–306.
SIGIR-2000-SilvaRCMZ: Link-based and content-based evidential information in a belief network model (IS, BARN, PC, ESdM, NZ), pp. 96–103.
TOOLS-ASIA-2000-MinyiMS #mobile: Cooperative Mobile Agents in Dynamic Network Environment (WM, ZM, YS), pp. 162–167.
TOOLS-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.
TOOLS-EUROPE-2000-McDowellS: Connecting Non-Java Devices to a Jini Network (CEM, KS), pp. 45–56.
FSE-2000-DeMillo #communication #development #generative: Software development for next generation communication networks (RAD), p. 1.
SAC-2000-Al-Omari: Routing in Quad Tree-Hypercube Networks (MAO), pp. 677–681.
SAC-2000-ChenAZ: Broadcasting Under Network Ignorance Scenario (XC, HA, SZ), pp. 615–619.
SAC-2000-Dowell #configuration management #constraints #performance: Optimal Configuration of a Command and Control Network: Balancing Performance and Reconfiguration Constraints (LJD), pp. 94–98.
SAC-2000-GhiniPS #mobile: Integrating Notification Services in Computer Network and Mobile Telephony (VG, GP, PS), pp. 549–553.
SAC-2000-LiSBH #process: Capturing and Indexing Computer-based Activities With Virtual Network Computing (SFL, MDS, JB, AH), pp. 601–603.
SAC-2000-Nezu #performance: Performance of Deflection Routing in Toroidal Networks (NN), pp. 682–684.
SAC-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.
SAC-2000-OzakuUMI #topic: Topic Search for Intelligent Network News Reader HISHO (HO, KU, MM, HI), pp. 28–33.
SAC-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.
SAC-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.
SAC-2000-SekiTTWS #distributed: Network Integrated Supervisory Control for Power Systems Based on Distributed Objects (TS, TT, TT, HW, TS), pp. 620–626.
SAC-2000-SkillicornP #source code: Building Programs in the Network of Tasks Model (DBS, SP), pp. 248–254.
SAC-2000-WuL #clustering #fuzzy #named: F3MCNN: A Fuzzy Minimum Mean Maximum Clustering Neural Network (LGW, HL), pp. 10–14.
SAC-2000-ZhangP #distributed #query #using: Distributed Query Processing Using Active Networks (ZZ, WP), pp. 374–380.
ASPLOS-2000-BhoedjangVRBH #communication #design #performance #reliability: Evaluating Design Alternatives for Reliable Communication on High-Speed Networks (RB, KV, TR, HEB, RFHH), pp. 71–81.
DAC-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.
DAC-2000-ZhaoPSECB #analysis: Hierarchical analysis of power distribution networks (MZ, RP, SSS, TE, RC, DB), pp. 150–155.
DATE-2000-Maurer #logic #simulation #state machine #using: Logic Simulation Using Networks of State Machines (PMM), pp. 674–678.
HPCA-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.
HPCA-2000-ChiuehP #design #memory management: Cache Memory Design for Network Processors (TcC, PP), pp. 409–418.
HPCA-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.
HPDC-2000-AdabalaKF #clustering: Interfacing Wide-Area Network Computing and Cluster Management Software: Condor, DQS and PBS via PUNCH (SA, NHK, JABF), pp. 306–307.
HPDC-2000-AndersonC: Failure-Atomic File Access in an Interposed Network Storage System (DCA, JSC), pp. 157–164.
HPDC-2000-Anglano #comparative #evaluation: A Comparative Evaluation of Implicit Coscheduling Strategies for Networks of Workstations (CA), pp. 221–228.
HPDC-2000-BasneyL: Managing Network Resources in Condor (JB, ML), pp. 298–299.
HPDC-2000-BianchiniC #clustering: Evaluating Cluster-based Network Servers (RB, EVC), pp. 63–70.
HPDC-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.
HPDC-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.
HPDC-2000-WolskiGT #metric: Synchronizing Network Probes to Avoid Measurement Intrusiveness with the Network Weather Service (RW, BG, BT), pp. 147–154.
HPDC-2000-XiaoZK #clustering #memory management #migration #ram: Incorporating Job Migration and Network RAM to Share Cluster Memory Resources (LX, XZ, SAK), pp. 71–78.
LCTES-2000-BelloM #scheduling: Randomization-Based Approaches for Dynamic Priority Scheduling of Aperiodic Messages on a CAN Network (LLB, OM), pp. 1–18.
OSDI-2000-AndersonCV #scalability: Interposed Request Routing for Scalable Network Storage (DCA, JSC, AV), pp. 259–272.
OSDI-2000-JannottiGJKO #multi #named #reliability: Overcast: Reliable Multicasting with an Overlay Network (JJ, DKG, KLJ, MFK, JOJ), pp. 197–212.
PDP-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.
PDP-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.
FASE-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.
STOC-2000-KempeKK #problem: Connectivity and inference problems for temporal networks (DK, JMK, AK), pp. 504–513.
STOC-2000-RasalaW #strict: Strictly non-blocking WDM cross-connects for heterogeneous networks (AR, GTW), pp. 514–523.
TACAS-2000-BaukusBLS #verification: Abstracting WS1S Systems to Verify Parameterized Networks (KB, SB, YL, KS), pp. 188–203.
WRLA-2000-MasonT #maude #protocol #simulation: Simple Network Protocol Simulation within Maude (IAM, CLT), pp. 274–291.
ISSTA-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.
HT-1999-RizzoAF: Hypertext-Like Structures Through a SOM Network (RR, MA, GF), pp. 71–72.
HT-1999-Whitehead #hypermedia: Control Choices and Network Effects in Hypertext Systems (EJWJ), pp. 75–82.
ICDAR-1999-ChoiO #recognition #using: A Segmentation-free Recognition of Two Touching Numerals using Neural Network (SMC, ISO), pp. 253–256.
ICDAR-1999-LiuN #recognition #using: Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training (CLL, MN), pp. 257–260.
ICDAR-1999-StockerRL #classification #problem #self: Self-organized Classification Problem Solving with Yprel Neural Networks (ES, AR, YL), pp. 390–393.
ICDAR-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.
SIGMOD-1999-JagadishLMSV #query: Querying Network Directories (HVJ, LVSL, TM, DS, DV), pp. 133–144.
VLDB-1999-BrodieC: Issues in Network Management in the Next Millennium (MLB, SC), p. 198.
ITiCSE-1999-ChiuHCL #collaboration #concept #interactive #process: Interaction processes in network supported collaborative concept mapping (CHC, CCH, WTC, THL), pp. 75–78.
ITiCSE-1999-PutSZ #student #using: The system of checking students’ knowledge with the use of wide area networks (DP, JS, MZ), p. 192.
CHI-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.
HCI-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.
HCI-CCAD-1999-Danielsson #learning: Learning in networks (UD), pp. 407–411.
HCI-CCAD-1999-KohnoMNA: A sensor network system for human support in living environments (MK, MM, HN, YA), pp. 241–245.
HCI-CCAD-1999-Niemeier #web #web service: Networking Companies: from basic web services to business solutions (JN), pp. 467–471.
HCI-CCAD-1999-OgiYH #named: CABINet: networking of immersive projection environment (TO, TY, MH), pp. 1025–1029.
HCI-CCAD-1999-Seufert #learning #named: PLATO — “electronic cookbook” for Internet-based learning networks (SS), pp. 707–711.
HCI-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.
HCI-CCAD-1999-VuongN #framework #platform: Network centric computing platform — the contribution of telcos to networking companies (TAV, JN), pp. 472–476.
HCI-CCAD-1999-Wirth #case study #monitoring #visualisation: Maximizing data density: a case study of visualization in network monitoring (JW), pp. 127–131.
HCI-EI-1999-Biagioni #communication #distance: Asynchronous and Distance Communication Over Digital Networks (ESB), pp. 851–855.
ICEIS-1999-AnwarY #database #design #implementation #object-oriented: Design and Implementation of an Object-Oriented Road Network Database (MAA, TY), pp. 7–14.
ICEIS-1999-BarjisD #analysis #modelling #process #using: Business Process Modelling and Analysis Using GERT Networks (JB, JLGD), pp. 748–758.
ICEIS-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.
ICEIS-1999-JungBP #agile #framework #implementation #protocol #prototype: Implementing Network Protocols in Java-A Framework for Rapid Prototyping (MJ, EB, AP), pp. 649–656.
ICEIS-1999-JunHSKP #performance #protocol: An Efficient Protocol for Radio Packet Networks (ARJ, SJH, HSS, GHK, MSP), pp. 642–648.
ICEIS-1999-LinyingSD #image #segmentation: Neural Networks for X-Ray Image Segmentation (SL, BS, DND), pp. 264–271.
ICEIS-1999-LopesO: Software Agents in Network Management (RPL, JLO), pp. 674–681.
ICEIS-1999-Orozco-Barbosa #implementation #performance #video: Video Communications Over IP/ATM Networks Implementation Issues and Performance (LOB), pp. 577–584.
ICEIS-1999-PeixotoD #architecture #development: Base Architecture for Network Application Development (CSAP, BMD), p. 789.
ICEIS-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.
ICEIS-1999-ReisM #what: What’s in a Node?-Nodes and Agents in Logistic Networks (JR, NJM), pp. 285–291.
ICEIS-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.
KDD-1999-DaviesM #dataset: Bayesian Networks for Lossless Dataset Compression (SD, AWM), pp. 387–391.
KDD-1999-LeeSM #data flow #detection #experience #mining: Mining in a Data-Flow Environment: Experience in Network Intrusion Detection (WL, SJS, KWM), pp. 114–124.
KDD-1999-Potts: Generalized Additive Neural Networks (WJEP), pp. 194–200.
MLDM-1999-ImiyaK: A Dynamics of the Hough Transform and Artifical Neural Networks (AI, KK), pp. 36–50.
MLDM-1999-JacobsenZP #comparison: A Comparison between Neural Networks and Decision Trees (CJ, UZ, PP), pp. 144–158.
MLDM-1999-MilanovaAOS #problem: Applications of Celluar Neural Networks for Shape from Shading Problem (MGM, PEMA, JOJ, MGS), pp. 51–63.
MLDM-1999-ReczkoKMGO #estimation #image: Neural Networks in MR Image Estimation from Sparsely Sampled Scans (MR, DAK, VM, DGD, DvO), pp. 75–86.
SIGIR-1999-LeeD: Context-Sensitive Vocabulary Mapping with a Spreading Activation Network (JL, DD), pp. 198–205.
ECOOP-1999-Waldo #object-oriented #programming: Object-Oriented Programming on the Network (JW), pp. 441–448.
TOOLS-ASIA-1999-HuangCCP #api #java: A Java Networking API for ATM Networks (ZH, SC, KMVC, MKP), pp. 306–315.
TOOLS-ASIA-1999-PeriorellisD #approach #modelling: Modeling Dynamic Networks: Advantages and Limitations of the O-O Approach (PP, JED), pp. 448–457.
TOOLS-ASIA-1999-ShenLG #graph #object-oriented: An Object-Oriented Net Graph Model for Agent Group-Based Network Management (JS, JL, GG), pp. 126–132.
TOOLS-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.
AdaEurope-1999-Tuosto #ada #coordination #implementation: An Ada95 Implementation of a Network Coordination Language with Code Mobility (ET), pp. 199–210.
ASE-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.
SAC-1999-BoudrigaHO #integration #mobile: Intelligent Services Integration in Mobile ATM Networks (NB, OH, MSO), pp. 91–97.
SAC-1999-CaoD #fault tolerance #multi: Fault-Tolerant Routing and Multicasting in Butterfly Networks (FC, DZD), pp. 455–460.
SAC-1999-CremoniniOZ #framework #interactive #mobile #modelling: Modelling Network Topology and Mobile Agent Interaction: An Integrated Framework (MC, AO, FZ), pp. 410–412.
SAC-1999-HarwoodS #low cost: A Method of Trading Diameter for Reduced Degree to Construct Low Cost Interconnection Networks (AH, HS), pp. 474–480.
SAC-1999-JonesK #algorithm #search-based #using: The Use of Genetic Algorithms and Neural Networks to Investigate the Baldwin Effect (MJ, AHK), pp. 275–279.
SAC-1999-NezuL #design #modelling #specification: Modeling Deflection Networks: Design and Specification (NN, HL), pp. 66–73.
SAC-1999-RowMAW #linux #security: Security Issues in Small Linux Networks (WMR, DJM, BLA, AHW), pp. 506–510.
DAC-1999-Arnold #architecture #flexibility: The Jini Architecture: Dynamic Services in a Flexible Network (KA), pp. 157–162.
DAC-1999-Bergamaschi #behaviour #graph #logic #synthesis: Behavioral Network Graph: Unifying the Domains of High-Level and Logic Synthesis (RAB), pp. 213–218.
DAC-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.
HPCA-1999-RheeL #scalability: A Scalable Cache Coherent Scheme Exploiting Wormhole Routing Networks (YR, JL), pp. 223–226.
HPCA-1999-YangW #performance: Efficient All-to-All Broadcast in All-Port Mesh and Torus Networks (YY, JW), pp. 290–299.
HPDC-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.
HPDC-1999-CruzP #dependence #maintenance #named: DUNES: A Performance-Oriented System Support Environment for Dependency Maintenance in Workstation Networks (JC, KP), pp. 309–318.
HPDC-1999-ImaiSIK #corba #named #performance: CrispORB: High Performance CORBA for System Area Network (YI, TS, TI, MK), pp. 11–18.
HPDC-1999-LowekampOG #distributed #query: Direct Queries for Discovering Network Resource Properties in a Distributed Environment (BL, DRO, TRG), pp. 38–46.
PDP-1999-AllisonBS #architecture #performance: A replicated resource architecture for high performance network service (CA, MB, JS), pp. 105–111.
PDP-1999-ClematisDG #resource management: A resource management tool for heterogeneous networks (AC, GD, VG), pp. 367–373.
PDP-1999-DaneseLL #parallel: A parallel processor for neural networks (GD, IDL, FL), pp. 89–96.
PDP-1999-LopezADZ #design #optimisation #robust #throughput: Optimizing network throughput: optimal versus robust design (PL, RA, JD, LZ), pp. 45–52.
PPoPP-1999-MainwaringC #challenge #communication #design #performance: Design Challenges of Virtual Networks: Fast, General-Purpose Communication (AMM, DEC), pp. 119–130.
PPoPP-1999-SubhlokLL #automation #performance: Automatic Node Selection for High Performance Applications on Networks (JS, PL, BL), pp. 163–172.
SOSP-1999-AronD #performance: Soft timers: efficient microsecond software timer support for network processing (MA, PD), pp. 232–246.
SOSP-1999-Wetherall: Active network vision and reality: lessions form a capsule-based system (DW), pp. 64–79.
STOC-1999-DodisK #bound #design #distance: Design Networks with Bounded Pairwise Distance (YD, SK), pp. 750–759.
STOC-1999-Gamarnik #adaptation #policy: Stability of Adaptive and Non-Adaptive Packet Routing Policies in Adversarial Queueing Networks (DG), pp. 206–214.
STOC-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.
STOC-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.
ECDL-1998-LakoumentasP: Intellectual Property Right and the Global Information Network (NKL, ENP), pp. 833–838.
ECDL-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.
SIGMOD-1998-RamakrishnanD: The PointCast Network (SR, VD), p. 520.
VLDB-1998-LakshmiZ #approach #database #estimation: Selectivity Estimation in Extensible Databases — A Neural Network Approach (MSL, SZ), pp. 623–627.
CSEET-1998-Hislop #education #learning: Teaching Via Asynchronous Learning Networks (GWH), pp. 16–35.
ICALP-1998-ChaudhuriSWZ: Computing Mimicking Networks (SC, KVS, FW, CDZ), pp. 556–567.
ICALP-1998-CookFMSS: Low-Bandwidth Routing and Electrical Power Networks (DC, VF, MVM, AS, YJS), pp. 604–615.
ICALP-1998-Gargano: Limited Wavelength Conversion in All-Optical Tree Networks (LG), pp. 544–555.
ICFP-1998-HicksKMGN #named: PLAN: A Packet Language for Active Networks (MWH, PK, JTM, CAG, SN), pp. 86–93.
CAiSE-1998-PapazoglouM #multi: Content-Based Organization of the Information Space in Multi-Database Networks (MPP, SM), pp. 251–272.
CIKM-1998-FinanceDR #query: Querying Future Telecommunication Networks (BF, TD, AR), pp. 226–233.
ICML-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.
ICML-1998-RamachandranM #refinement: Theory Refinement of Bayesian Networks with Hidden Variables (SR, RJM), pp. 454–462.
ICML-1998-Street #predict: A Neural Network Model for Prognostic Prediction (WNS), pp. 540–546.
ICPR-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.
ICPR-1998-BreukelenD #classification: Neural network initialization by combined classifiers (MvB, RPWD), pp. 215–218.
ICPR-1998-ChenC #performance #recursion #representation: Recursive representation and progressive display of binary objects for efficient network browsing (IPC, ZC), pp. 395–399.
ICPR-1998-HanKKL #probability #segmentation: Temporal segmentation and selective attention in the stochastic oscillator neural network (SKH, WSK, HK, SWL), pp. 259–261.
ICPR-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.
ICPR-1998-KeglKN #classification #learning #parametricity: Radial basis function networks in nonparametric classification and function learning (BK, AK, HN), pp. 565–570.
ICPR-1998-KimuraIWTM #recognition #using: Handwritten numeral recognition using autoassociative neural networks (FK, SI, TW, ST, YM), pp. 166–171.
ICPR-1998-LimC #database #generative #multi: Neural network based feature space generation for multiple databases of handwritten numerals (KTL, SIC), pp. 375–377.
ICPR-1998-MaioM98a: Neural network based minutiae filtering in fingerprints (DM, DM), pp. 1654–1658.
ICPR-1998-OrnesDS #visual notation: A visual neural network that learns perceptual relationships (CO, AD, JS), pp. 873–875.
ICPR-1998-ShaoF: Network vision (JS, CSF), pp. 747–750.
KR-1998-Jaeger #infinity #random #reasoning #relational: Reasoning About Infinite Random Structures with Relational Bayesian Networks (MJ), pp. 570–581.
TOOLS-ASIA-1998-PeriorellisBS #dependence #enterprise #modelling #object-oriented #paradigm #using: Modeling Enterprise Dependency Networks Using an Object Oriented Paradigm (PP, AB, PS), p. 148–?.
ICRE-1998-LingerML #requirements: Requirements Definition for Survivable Network Systems (RCL, NRM, HFL), pp. 14–23.
ICSE-1998-BaldiP #design #mobile #paradigm #trade-off: Evaluating the Tradeoffs of Mobile Code Design Paradigms in Network Management Applications (MB, GPP), pp. 146–155.
SAC-1998-Al-OmariA #algorithm: Routing algorithms for tree-hypercube networks (MAO, HAS), pp. 85–89.
SAC-1998-GaberT #distributed #random: Randomized load distribution of arbitrary trees in distributed networks (JG, BT), pp. 564–568.
SAC-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.
SAC-1998-MurthyK #modelling #programming #tool support: Integrated network computing models, programming modes and software tools (VKM, EVK), pp. 551–557.
SAC-1998-NezuL #incremental: Incremental construction of torus networks (NN, HL), pp. 80–84.
SAC-1998-Shen #estimation: Average diameter of network structures and its estimation (ZS), pp. 593–597.
SAC-1998-Sibai98a #low cost #multi #scalability: The hyper-ring network: a cost-efficient topology for scalable multicomputers (FNS), pp. 607–612.
ASPLOS-1998-ChenBDDL #interface #named: UTLB: A Mechanism for Address Translation on Network Interfaces (YC, AB, SND, CD, KL), pp. 193–204.
ASPLOS-1998-PaiABSDZN #clustering: Locality-Aware Request Distribution in Cluster-based Network Servers (VSP, MA, GB, MS, PD, WZ, EMN), pp. 205–216.
DAC-1998-DharchoudhuryPBVTB #analysis #design: Design and Analysis of Power Distribution Networks in PowerPC Microprocessors (AD, RP, DB, RV, BT, DB), pp. 738–743.
DAC-1998-OhP #design #multi: Multi-Pad Power/Ground Network Design for Uniform Distribution of Ground Bounce (JO, MP), pp. 287–290.
DAC-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.
DATE-1998-BolchiniSS #analysis #concurrent #detection #fault: Fault Analysis in Networks with Concurrent Error Detection Properties (CB, FS, DS), pp. 957–958.
DATE-1998-EpplerFGM #energy #physics: High Speed Neural Network Chip for Trigger Purposes in High Energy Physics (WE, TF, HG, AM), pp. 108–115.
HPCA-1998-LangendoenHB #performance: Challenging Applications on Fast Networks (KL, RFHH, HEB), pp. 68–79.
HPCA-1998-LopezMD #concurrent #detection #distributed #performance: A Very Efficient Distributed Deadlock Detection Mechanism for Wormhole Networks (PL, JMM, JD), pp. 57–66.
HPCA-1998-MogaD #clustering #effectiveness: The Effectiveness of SRAM Network Caches in Clustered DSMs (AM, MD), pp. 103–112.
HPCA-1998-MukherjeeH #data transfer #design #interface: The Impact of Data Transfer and Buffering Alternatives on Network Interface Design (SSM, MDH), pp. 207–218.
HPCA-1998-SchoinasH #interface: Address Translation Mechanisms In Network Interfaces (IS, MDH), pp. 219–230.
HPDC-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.
HPDC-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.
LCTES-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.
PDP-1998-Allison #clustering: Virtual networks and QoS for cluster computing (CA), pp. 127–132.
PDP-1998-CarrionIGVB #concurrent: Ghost packets: a deadlock-free solution for k-ary n-cube networks (CC, CI, JAG, FV, RB), pp. 133–139.
PDP-1998-ClematisCS #algorithm #parallel: Developing non-local iterative parallel algorithms for GIS on a workstation network (AC, AC, MS), pp. 250–256.
PDP-1998-Duato #adaptation #concurrent: Deadlock avoidance and adaptive routing in interconnection networks (JD), pp. 359–364.
PDP-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.
PDP-1998-RodriguezAM #algorithm #parallel #performance #predict #using: Prediction of parallel algorithms performance on bus-based networks using PVM (RJR, CA, DM), pp. 57–63.
PDP-1998-SanchezDG #configuration management #pipes and filters #using: Using channel pipelining in reconfigurable interconnection networks (JLS, JD, JMG), pp. 120–126.
PDP-1998-SandkuhlNML: Redesigning CSCW-systems for network computing-experience from the HotCon project (KS, LN, SM, PL), pp. 318–324.
FASE-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.
STOC-1998-AndrewsZ: Stability Results for Networks with Input and Output Blocking (MA, LZ), pp. 369–377.
STOC-1998-Bar-NoyGNS #multi: Multicasting in Heterogeneous Networks (ABN, SG, JN, BS), pp. 448–453.
STOC-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.
TACAS-1998-AbdullaJ #process #verification: Verifying Networks of Timed Processes (PAA, BJ), pp. 298–312.
IWTCS-1998-GuiagoussouK #testing: TMN and Telecommunication Networks Testing (MG, MK), pp. 17–34.
LICS-1998-Jaeger #convergence #relational: Convergence Results for Relational Bayesian Networks (MJ), pp. 44–55.
LICS-1998-StarkS #analysis #automaton #composition #probability: Compositional Analysis of Expected Delays in Networks of Probabilistic I/O Automata (EWS, SAS), pp. 466–477.
ECDL-1997-ChristophidesDF #approach #documentation #repository #semantics: A Semantic Network Approach to Semi-Structured Documents Repositories (VC, MD, IF), pp. 305–324.
HT-1997-ChelnokovZ #hypermedia: Collective Phenomena in Hypertext Networks (VMC, VLZ), pp. 220–221.
ICDAR-1997-AminM #recognition #using: Recognition of Printed Arabic Text Using Neural Networks (AA, WM), pp. 612–615.
ICDAR-1997-EigenmannN #evaluation #multi: Modification of Hard-Limiting Multilayer Neural Networks for Confidence Evaluation (RE, JAN), pp. 1087–1091.
ICDAR-1997-GalindoF #diagrams #representation: Perceptually-Based Representation of Network Diagrams (DG, CF), pp. 352–356.
ICDAR-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.
ICDAR-1997-MarianiDLM #algorithm: Algorithms for the Hydrographic Network Names Association on Geographic Maps (RM, MPD, JL, RM), p. 362.
ICDAR-1997-NgC #image: Artificial Neural Network for Discrete Cosine Transform and Image Compression (KSN, LMC), pp. 675–678.
SIGMOD-1997-Arpaci-DusseauACHP #sorting: High-Performance Sorting on Networks of Workstations (ACAD, RHAD, DEC, JMH, DAP), pp. 243–254.
VLDB-1997-KumarKA #framework #named #process #transaction: Caprera: An Activity Framework for Transaction Processing on Wide-Area Networks (SK, EKK, DA), pp. 585–589.
VLDB-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.
VLDB-1997-StathatosRB #adaptation #hybrid: Adaptive Data Broadcast in Hybrid Networks (KS, NR, JSB), pp. 326–335.
ITiCSE-1997-DixonMK #education #simulation #using: Using a network simulation package to teach the client-server model (MWD, TJM, JMK), pp. 71–73.
ICSM-1997-Ghezzi #re-engineering: Software Engineering Issues for Network Computing (CG), p. 2.
ICALP-1997-BartalL #online: On-Line Routing in All-Optical Networks (YB, SL), pp. 516–526.
ICALP-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.
FME-1997-MartinJ #analysis #concurrent #performance #process #scalability: An Efficient Technique for Deadlock Analysis of Large Scale Process Networks (JMRM, SAJ), pp. 418–441.
CHI-1997-GentnerLR: Simplified Applications for Network Computers (DG, FL, CR), pp. 439–446.
CHI-1997-MynattAIO #community #design: Design for Network Communities (EDM, AA, MI, VLO), pp. 210–217.
CHI-1997-WoodDA #automation #integration #named: CyberDesk: Automated Integration of Desktop and Network Services (AW, AKD, GDA), pp. 552–553.
HCI-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.
HCI-CC-1997-SakairiS #named: Helen: A Shared Chalkboard for Low-Bandwidth Networks (TS, MS), pp. 15–18.
HCI-SEC-1997-Kazemian #flexibility: Networking and Urban Forms in the Electronic Age-Towards Flexible Location Decisions in Stockholm (RK), pp. 605–608.
HCI-SEC-1997-LucasMP #interface #re-engineering: Re-Engineering a Complex Network Interface (ML, JFM, CP), pp. 771–774.
HCI-SEC-1997-OhtaA #overview: A Sensor Network Management System-An Overview and Example (MO, YA), pp. 197–200.
HCI-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.
HCI-SEC-1997-ShimadaYA: A Fundamental Mechanism of Intelligent Sensor-Actuator Networks (SS, YY, YA), pp. 201–204.
HCI-SEC-1997-SinghSD #community: A Model of the Informational Affordances of Media Spaces in Community Networks (DTS, PPS, JD), pp. 819–822.
CAiSE-1997-KlimathianakisL #named #repository: DELOS — A Repository Based Environment for Developing Network Centric Applications (PK, PL), pp. 375–388.
EDOC-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.
EDOC-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.
ACIR-1997-Marsh #community: A Community of Autonomous Agents for the Search and Distribution of Information in Networks (SM).
CIKM-1997-ChengBL #approach #learning: Learning Belief Networks from Data: An Information Theory Based Approach (JC, DAB, WL), pp. 325–331.
ICML-1997-Friedman #learning: Learning Belief Networks in the Presence of Missing Values and Hidden Variables (NF), pp. 125–133.
ICML-1997-Opitz #approach #component #effectiveness: The Effective Size of a Neural Network: A Principal Component Approach (DWO), pp. 263–271.
TOOLS-ASIA-1997-HungLC #experience #using: An Experience of Using FDOOA Method to Develop a Telecommunications Network Management System (YSH, WCL, CGC), pp. 320–329.
POPL-1997-Halbwachs #automation #linear #process #verification: Automatic Verification of Parameterized Linear Networks of Processes (DL, NH, PR), pp. 346–357.
TRI-Ada-1997-Gonzalez-BarahonaCQBL #ada #education #programming: Teaching Network Programming with Ada and Lower_Layer (JMGB, JCG, PdlHQ, FJBC, LLF), pp. 105–110.
TRI-Ada-1997-Kienzle #ada: Network Applications in Ada 95 (JK), pp. 3–9.
SAC-1997-ChoiK #multi: Hierarchical multistage interconnection network for shared-memory multiprocessor system (ChC, SCK), pp. 468–472.
SAC-1997-GhoshGP #protocol: Fault-containing network protocols (SG, AG, SVP), pp. 431–437.
SAC-1997-HaraHTN: Location Management Methods of Migratory Data Resources in ATM Networks (TH, KH, MT, SN), pp. 123–130.
SAC-1997-KhasawnehO #evaluation #protocol: An evaluation study of protocols used in cable TV networks (RMK, MSO), pp. 52–57.
SAC-1997-LewisSZ #performance #retrieval #scalability: Scaling of neural network inferencing by efficient storage and retrieval of outputs (BL, AS, JZ), pp. 10–14.
SAC-1997-LiKI: Balanced assignment of cells in PCS networks (JL, HK, HI), pp. 297–301.
SAC-1997-Sibai #communication #multi: Multi-node communication in hyper-ring networks (FNS), pp. 380–383.
SAC-1997-Sibai97b #distributed #recursion: Distributed routing in the recursive diamond network (FNS), pp. 389–392.
DAC-1997-ElfadelL #modelling: Zeros and Passivity of Arnoldi-Reduced-Order Models for Interconnect Networks (IME, DDL), pp. 28–33.
DAC-1997-Gebotys #energy #memory management #using: Low Energy Memory and Register Allocation Using Network Flow (CHG), pp. 435–440.
DAC-1997-KernsY #congruence #reduction: Preservation of Passivity During RLC Network Reduction via Split Congruence Transformations (KJK, ATY), pp. 34–39.
DAC-1997-KuoC #approach #clustering: A Network Flow Approach for Hierarchical Tree Partitioning (MTK, CKC), pp. 512–517.
DAC-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.
DAC-1997-YeR #algorithm #graph #synthesis: A Graph-Based Synthesis Algorithm for AND/XOR Networks (YY, KR), pp. 107–112.
EDTC-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.
EDTC-1997-BolchiniSS #design #novel: A novel methodology for designing TSC networks based on the parity bit code (CB, FS, DS), pp. 440–444.
EDTC-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.
HPCA-1997-DaoYD #architecture #communication #multi: Architectural Support for Reducing Communication Overhead in Multiprocessor Interconnection Networks (BVD, SY, JD), pp. 343–352.
HPCA-1997-KesavanBP #multi: Multicast on Irregular Switch-Based Networks with Wormhole Routing (RK, KB, DKP), pp. 48–57.
HPCA-1997-RavindranS #comparison #multi #performance: A Performance Comparison of Hierarchical Ring- and Mesh-Connected Multiprocessor Networks (GR, MS), pp. 58–69.
HPCA-1997-WelshBE #communication #interface #performance: ATM and Fast Ethernet Network Interfaces for User-Level Communication (MW, AB, TvE), pp. 332–342.
HPCA-1997-YuanMG #algorithm #distributed #multi: Distributed Path Reservation Algorithms for Multiplexed All-Optical Interconnection Networks (XY, RGM, RG), pp. 38–47.
HPDC-1997-ChalasaniR #parallel: Parallel FFT on ATM-based Networks of Workstations (SC, PR), pp. 2–11.
HPDC-1997-DasSJA #mobile: Cellular Mobile Networks (SKD, SKS, RJ, PA), pp. 254–263.
HPDC-1997-KimL #distributed #parallel: Utilizing Heterogeneous Networks in Distributed Parallel Computing Systems (JK, DJL), pp. 336–345.
HPDC-1997-RosuSF #approach #clustering #interface #parallel: Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach (MCR, KS, RF), pp. 159–168.
HPDC-1997-SiuS #design pattern #parallel #using: Design Patterns for Parallel Computing using a Network of Processors (SS, AS), pp. 293–304.
HPDC-1997-SteeleDKL #interface #multi: A Bus-Efficient Low-Latency Network Interface for the PDSS Multicomputer (CSS, JTD, JK, CL), pp. 213–222.
HPDC-1997-Wolski #performance #scheduling #using: Forecasting Network Performance to Support Dynamic Scheduling using the Network Weather Service (RW), pp. 316–325.
PDP-1997-ChiolaC #low cost #named: GAMMA: A low-cost network of workstations based on active messages (GC, GC), pp. 78–83.
PDP-1997-DesaiG #polynomial: Generalized cubic networks (KRD, KG), pp. 116–126.
PDP-1997-Ojeda-GuerraS #equation #linear: Solving linear systems of equations overlapping communications and computations in torus networks (CNOG, ÁS), pp. 453–460.
PDP-1997-Ould-KhaouaSM #multi: A traffic-balanced interconnection network for multicomputers (MOK, RS, LMM), pp. 93–99.
PDP-1997-PuenteSHH #parallel #simulation: Parallel simulation for queueing networks on multiprocessor systems (FdlPA, JDSG, PHM, FH), pp. 240–245.
SOSP-1997-FoxGCB #clustering #scalability: Cluster-Based Scalable Network Services (AF, SDG, YC, EAB, PG), pp. 78–91.
SOSP-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.
TACAS-1997-EngelsFM #generative #model checking #testing #using: Test Generation for Intelligent Networks Using Model Checking (AE, LMGF, SM), pp. 384–398.
CAV-1997-Sistla #automaton #invariant #linear #using #verification: Parametrized Verification of Linear Networks Using Automata as Invariants (APS), pp. 412–423.
HT-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.
VLDB-1996-Sullivan #analysis #database #named: Tribeca: A Stream Database Manager for Network Traffic Analysis (MS), p. 594.
ITiCSE-1996-Hartley #education #hypermedia #operating system #using: A hypermedia lab manual for operating systems: using the network to teach (SJH), pp. 8–10.
ITiCSE-1996-Jacker #documentation #monitoring #named #tool support: Tkined/scotty: tools for network documentation, monitoring and troubleshooting (KHJ), p. 233.
ITiCSE-1996-JacksonM #algorithm #animation: Algorithm animation of neural networks (DJ, IGM), pp. 39–41.
ITiCSE-1996-KhuriW #named: Neuralis: an artificial neural network package (SK, JW), pp. 25–27.
ITiCSE-1996-MartiPH #education #paradigm: PACKET tracing: a new paradigm for teaching computer network courses (WFM, UWP, JAHJ), pp. 162–164.
ITiCSE-1996-Pattinson #education: Network management teaching — managing a simulated network (CP), p. 233.
ICALP-1996-BermondGPRV #communication #performance: Efficient Collective Communication in Optical Networks (JCB, LG, SP, AAR, UV), pp. 574–585.
ICALP-1996-Raymond #data flow #regular expression: Recognizing Regular Expressions by Means of Dataflow Networks (PR), pp. 336–347.
ICFP-1996-CaspiP: Synchronous Kahn Networks (PC, MP), pp. 226–238.
CHI-1996-HartsonCKN #evaluation #usability: Remote Evaluation: The Network as an Extension of the Usability Laboratory (HRH, JCC, JTK, WCN), pp. 228–235.
CSCW-1996-CarrollS #community: Community Networks (JC, CS), p. 6.
CSCW-1996-FishK #collaboration #video: Networking for Collaboration: Video Telephony and Media Conferencing (RSF, REK), p. 6.
CSCW-1996-HiltzT #collaboration #learning #online #theory and practice: Asynchronous Learning Networks: The Theory and Practice of Collaborative Learning Online (SRH, MT), p. 5.
CSCW-1996-NakanishiYNI #named: FreeWalk: Supporting Casual Meetings in a Network (HN, CY, TN, TI), pp. 308–314.
CSCW-1996-RosemanG #collaboration #named: TeamRooms: Network Places for Collaboration (MR, SG), pp. 325–333.
AKDDM-1996-Heckerman #information management: Bayesian Networks for Knowledge Discovery (DH), pp. 273–305.
CIKM-1996-SyuLD #information retrieval #semantics: Incorporating Latent Semantic Indexing into a Neural Network Model for Information Retrieval (IS, SDL, ND), pp. 145–153.
ICML-1996-BlanzieriK #learning #online: Learning Radial Basis Function Networks On-line (EB, PK), pp. 37–45.
ICML-1996-EzawaSN #learning #risk management: Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management (KJE, MS, SWN), pp. 139–147.
ICML-1996-FriedmanG #learning: Discretizing Continuous Attributes While Learning Bayesian Networks (NF, MG), pp. 157–165.
ICML-1996-SinghP #classification #learning #performance: Efficient Learning of Selective Bayesian Network Classifiers (MS, GMP), pp. 453–461.
ICML-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.
ICPR-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.
ICPR-1996-Bayro-CorrochanoBS #algebra #geometry #self #using: A new self-organizing neural network using geometric algebra (EBC, SB, GS), pp. 555–559.
ICPR-1996-ChenJ #behaviour #on the: On the small sample behavior of the class-sensitive neural network (CHC, AJ), pp. 209–213.
ICPR-1996-Cho #recognition #self: Recognition of unconstrained handwritten numerals by doubly self-organizing neural network (SBC), pp. 426–430.
ICPR-1996-DayP #generative #using: The generation of motion kinematics using a time-delay neural network (MJSD, JSP), pp. 545–549.
ICPR-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.
ICPR-1996-Grim #design: Maximum-likelihood design of layered neural networks (JG), pp. 85–89.
ICPR-1996-GuttaHTW #recognition #using: Face recognition using ensembles of networks (SG, JH, BT, HW), pp. 50–54.
ICPR-1996-HamamotoMIHT #anti #evaluation: Evaluation of an anti-regularization technique in neural networks (YH, YM, HI, TH, ST), pp. 205–208.
ICPR-1996-HamkerG: Task-relevant relaxation network for visuo-motory systems (FHH, HMG), pp. 406–410.
ICPR-1996-HolmstromKLO #classification #statistics: Neural network and statistical perspectives of classification (LH, PK, JL, EO), pp. 286–290.
ICPR-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.
ICPR-1996-KrzyzakL #classification #complexity #convergence #parametricity: Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence (AK, TL), pp. 650–653.
ICPR-1996-KunchevaH: An RBF network with tunable function shape (LK, STH), pp. 645–649.
ICPR-1996-LeonardisB #adaptation #complexity #optimisation: Complexity optimization of adaptive RBF networks (TL, HB), pp. 654–658.
ICPR-1996-LernerGADR #classification #feature model: Feature extraction by neural network nonlinear mapping for pattern classification (BL, HG, MA, ID, YR), pp. 320–324.
ICPR-1996-LilienblumAM #3d #geometry: 3D-measurement of geometrical shapes by photogrammetry and neural networks (TL, PA, BM), pp. 330–334.
ICPR-1996-MichaelisSSM #adaptation #using: Adaptive filtering of distorted displacement vector fields using artificial neural networks (BM, OS, US, RM), pp. 335–339.
ICPR-1996-MollerGW #clustering #performance: Fast vector quantizer on neural clustering networks providing globally optimal cluster solutions (UM, MG, HW), pp. 351–355.
ICPR-1996-MontesinosA #image: Perceptual organization of thin networks with active contour functions applied to medical and aerial images (PM, LA), pp. 647–651.
ICPR-1996-OkamotoYSY #online #string #using: On-line handwriting character string separation method using network expression (MO, HY, KS, KY), pp. 422–425.
ICPR-1996-PelilloF #learning: Autoassociative learning in relaxation labeling networks (MP, AMF), pp. 105–110.
ICPR-1996-PetrouS #fuzzy #on the #reasoning: On the relationship between neural networks and fuzzy reasoning (MP, KRS), pp. 239–243.
ICPR-1996-PrantlGP #multi #using: Active fusion using Bayesian networks applied to multi-temporal remote sensing imagery (MP, HG, AP), pp. 890–894.
ICPR-1996-PrinetMCLM #3d #image: Thin network extraction in 3D images: application to medical angiograms (VP, OM, GC, XSL, SM), pp. 386–390.
ICPR-1996-RitterS: An introduction to morphological neural networks (GXR, PS), pp. 709–717.
ICPR-1996-RoliSB #classification #image #multi: Classification of multisensor remote-sensing images by multiple structured neural networks (FR, SBS, LB), pp. 180–184.
ICPR-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.
ICPR-1996-SerraS #image #using: Perceptual grouping on texture images using non-cartesian networks (JRS, JBSV), pp. 462–466.
ICPR-1996-SongKL #architecture #pattern matching #pattern recognition #recognition: A new recurrent neural network architecture for pattern recognition (HHS, SMK, SWL), pp. 718–722.
ICPR-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.
ICPR-1996-Stoyanov #learning: An improved backpropagation neural network learning (IPS), pp. 586–588.
ICPR-1996-SziranyiC #segmentation: Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks (TS, LC), pp. 366–370.
ICPR-1996-UtschickN #adaptation: Bayesian adaptation of hidden layers in Boolean feedforward neural networks (WU, JAN), pp. 229–233.
ICPR-1996-WangZJ #multi #recognition: Multiple experts recognition system based on neural network (SW, XZ, YJ), pp. 452–456.
KDD-1996-Musick #learning: Rethinking the Learning of Belief Network Probabilities (RM), pp. 120–125.
KR-1996-Morgenstern #semantics: Inheriting Well-formed Formulae in a Formula-Agumented Semantic Network (LM), pp. 268–279.
SIGIR-1996-Callan #documentation: Document Filtering With Inference Networks (JPC), pp. 262–269.
SIGIR-1996-Hopper: The Network Computer (AH), p. 2.
SIGIR-1996-RibeiroM #information retrieval: A Belief Network Model for IR (BARN, RRM), pp. 253–260.
KBSE-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.
SAC-1996-FordHPT #repository #standard #tool support: Linking specialized network data repositories to standard access tools (RF, GH, VP, DT), pp. 219–223.
SAC-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.
SAC-1996-HashemiSHT: A neural network for speedy trials (RRH, TMS, WGH, JRT), pp. 468–472.
SAC-1996-HoeltingSW #algorithm #search-based #using: Finding investigator tours in telecommunication networks using genetic algorithms (CJH, DAS, RLW), pp. 82–87.
SAC-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.
SAC-1996-KulkarniM #clustering #fuzzy #modelling: Fuzzy neural network models for clustering (ADK, VKM), pp. 523–528.
SAC-1996-LeungC: A stroke-order free Chinese handwriting input system based on relative stroke positions and back-propagation networks (WnL, KsC), pp. 22–27.
SAC-1996-MengelA #protocol #tutorial: A network protocol analyzer with tutorial (SM, SA), pp. 115–119.
SAC-1996-Shim: Developing a managed system in the OSI network management (YCS), pp. 88–92.
ASPLOS-1996-FoxGBA #adaptation #on-demand #variability: Adapting to Network and Client Variability via On-Demand Dynamic Distillation (AF, SDG, EAB, EA), pp. 160–170.
ASPLOS-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.
DAC-1996-BalarinHJLS #embedded #verification: Formal Verification of Embedded Systems based on CFSM Networks (FB, HH, AJ, LL, ALSV), pp. 568–571.
DAC-1996-BamjiM #algorithm #optimisation: Enhanced Network Flow Algorithm for Yield Optimization (CB, EM), pp. 746–751.
DAC-1996-DesaiCJ #cpu #performance: Sizing of Clock Distribution Networks for High Performance CPU Chips (MPD, RC, JJ), pp. 389–394.
DAC-1996-FerrandiFMPS #automaton #optimisation: Symbolic Optimization of FSM Networks Based on Sequential ATPG Techniques (FF, FF, EM, MP, DS), pp. 467–470.
DAC-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.
DAC-1996-KudvaGJN #multi #synthesis: Synthesis for Hazard-free Customized CMOS Complex-Gate Networks Under Multiple-Input Changes (PK, GG, HMJ, SMN), pp. 77–82.
DAC-1996-KuoLC #clustering: Network Partitioning into Tree Hierarchies (MTK, LTL, CKC), pp. 477–482.
DAC-1996-Lin #design #hardware: A System Design Methodology for Software/Hardware Co-Development of Telecommunication Network Applications (BL), pp. 672–677.
HPCA-1996-BlumrichDFL #interface: Protected, User-Level DMA for the SHRIMP Network Interface (MAB, CD, EWF, KL), pp. 154–165.
HPCA-1996-ElGindySSSS #configuration management #multi #named: RMB — A Reconfigurable Multiple Bus Network (HAE, AKS, HS, HS, AS), pp. 108–117.
HPCA-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.
HPCA-1996-MarkatosK #clustering #named #parallel: Telegraphos: High-Performance Networking for Parallel Processing on Workstation Clusters (EPM, MK), pp. 144–153.
HPCA-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.
HPDC-1996-AgusleoS #interface #memory management: Employing Logic-Enhanced Memory for High-Performance ATM Network Interfaces (HA, NS), pp. 192–200.
HPDC-1996-BourasKMOST #hypermedia #multi #on-demand: On-Demand Hypermedia/Multimedia Service over Broadband Networks (CB, VK, DM, VO, PGS, AT), pp. 224–231.
HPDC-1996-ChanPS #architecture #prototype: Prototyping Network Architectures on a Supercomputer (MCC, GP, RS), pp. 374–382.
HPDC-1996-DharanikotaM #architecture #named #quality: QUANTA: Quality of Service Architecture for Native TCP/IP over ATM Networks (SD, KM), pp. 585–594.
HPDC-1996-KumaranQ #automation #parallel: Automatic Exploitation of Dual Level Parallelism on a Network of Multiprocessors (SK, MJQ), pp. 616–625.
HPDC-1996-LazarL #multi #programmable: Programmability and Service Creation for Multimedia Networks (AAL, KSL), pp. 217–223.
HPDC-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.
HPDC-1996-OguchiO #case study #distributed: A Study of Caching Proxy Mechanisms Realized on Wide Area Distributed Networks (MO, KO), pp. 443–449.
HPDC-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.
HPDC-1996-Ravindran #design #multi: Design of Multicast Packet Swithches for High — speed Multi — Service Networks (KR), pp. 573–584.
HPDC-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.
HPDC-1996-SarkarB #clustering #interface #named: CNI: A High-Performance Network Interface for Workstation Clusters (PS, MLB), pp. 151–160.
HPDC-1996-SisalemSS #video: The Network Video Terminal (DS, HS, CS), pp. 3–10.
HPDC-1996-Vila-SallentS: Supporting HPDC Application over ATM Networks with Cell-Based Transport Mechanisms (JVS, JSP), pp. 595–604.
HPDC-1996-ZakiLP: Customized Dynamic Load Balancing for a Network of Workstations (MJZ, WL, SP), pp. 282–291.
PDP-1996-AlcoverLDZ #analysis #design #interactive #statistics: Interconnection Network Design: A Statistical Analysis of Interactions between Factors (RA, PL, JD, LZ), pp. 211–218.
PDP-1996-Goubareni #independence #process #simulation: Simulation of Chaotic Iterative Processes in Speed-Independent Computing Networks (NMG), pp. 27–32.
PDP-1996-IazzettaSS #communication #recursion: Tree-Based Communication Model for WK-Recursive Networks (AI, CS, US), pp. 204–210.
PDP-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.
PDP-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.
PDP-1996-SuarezO: Overlapping Computations and Communications in Torus Networks (ÁS, CNOG), pp. 162–169.
PDP-1996-TheodoropoulosW #architecture #simulation: Simulating Asynchronous Architectures on Transputer Networks (GKT, JVW), pp. 274–281.
PDP-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.
ESOP-1996-Stolen #data flow: Assumption/Commitment Rules for Dataflow Networks — With an Emphasis on Completeness (KS), pp. 356–372.
RWLW-1996-PitaM #database #maude #object-oriented #specification: A Maude specification of an object-oriented database model for telecommunication networks (IP, NMO), pp. 405–423.
STOC-1996-AndrewsLMZ #automation #latency: Automatic Methods for Hiding Latency in High Bandwidth Networks (MA, FTL, PTM, LZ), pp. 257–265.
STOC-1996-Ma #fault tolerance #sorting: An O(n log n)-Size Fault-Tolerant Sorting Network (YM), pp. 266–275.
STOC-1996-RabaniT #distributed: Distributed Packet Switching in Arbitrary Networks (YR, ÉT), pp. 366–375.
CAV-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.
ICDAR-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.
ICDAR-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.
ICDAR-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.
ICDAR-v1-1995-LeeK95b #recognition: A new type of recurrent neural network for handwritten character recognition (SWL, YJK), pp. 38–41.
ICDAR-v1-1995-LeeL #recognition #segmentation: Integrated segmentation and recognition of connected handwritten characters with recurrent neural network (SWL, EJL), pp. 413–416.
ICDAR-v1-1995-LeeS #approach #classification #formal method: A theory of classifier combination: the neural network approach (DSL, SNS), pp. 42–45.
ICDAR-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.
ICDAR-v1-1995-SuWLX: Hierarchical neural network for recognizing hand-written characters in engineering drawings (HS, WW, XL, SX), pp. 46–49.
ICDAR-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.
ICDAR-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.
ICDAR-v2-1995-LeeK95c #clustering #multi #recognition: Multiresolution recognition of handwritten numerals with wavelet transform and multilayer cluster neural network (SWL, YJK), pp. 1010–1013.
ICDAR-v2-1995-MiyaoN #approach #music #using: Head and stem extraction from printed music scores using a neural network approach (HM, YN), pp. 1074–1079.
ICALP-1995-CosnardC: A Characterization of the Existence of Energies for Neural Networks (MC, EGC), pp. 570–580.
ICALP-1995-MaratheRSRRH #design #problem: Bicriteria Network Design Problems (MVM, RR, RS, SSR, DJR, HBHI), pp. 487–498.
RTA-1995-Paccanaro #reduction: Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory (AP), pp. 444–449.
CHI-1995-BradleyJ #interface: Replacing a Networking Interface “From Hell” (RFB, LDJ), pp. 538–545.
CHI-1995-MukherjeaFH #hypermedia #multi #visualisation: Visualizing Complex Hypermedia Networks through Multiple Hierarchical Views (SM, JDF, SEH), pp. 331–337.
CHI-1995-Perkins #information management #online: The Interchange Online Network: Simplifying Information Access (RP), pp. 558–565.
CIKM-1995-ParkHC #automation #using: Automatic Thesaurus Construction Using Bayesian Networks (YCP, YSH, KSC), pp. 212–217.
ICML-1995-BlackmoreM #grid #incremental #visualisation: Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network (JB, RM), pp. 55–63.
ICML-1995-CrawH #refinement: Protein Folding: Symbolic Refinement Competes with Neural Networks (SC, PH), pp. 133–141.
ICML-1995-Heckerman #learning: Learning With Bayesian Networks (DH), p. 588.
KDD-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.
KDD-1995-EzawaN #information management #modelling #using: Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models (KJE, SWN), pp. 100–105.
KDD-1995-SpirtesM #learning: Learning Bayesian Networks with Discrete Variables from Data (PS, CM), pp. 294–299.
KDD-1995-Thiesson #quantifier #semistructured data: Accelerated Quantification of Bayesian Networks with Incomplete Data (BT), pp. 306–311.
SIGIR-1995-CallanLC #distributed: Searching Distributed Collections with Inference Networks (JPC, ZL, WBC), pp. 21–28.
OOPSLA-1995-HuniJE #framework #protocol: A Framework for Network Protocol Software (HH, REJ, RE), pp. 358–369.
SAC-1995-Arnow #email #programming #using: :-) When you grade that: using e-mail and the network in programming courses (DMA), pp. 10–13.
SAC-1995-ChaabouniC #database #object-oriented: Discrimination network for rule condition matching in object-oriented database rule systems (MC, SMC), pp. 51–55.
SAC-1995-HalgamugeGG #fuzzy #problem #prototype: A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems (SKH, CG, MG), pp. 445–449.
SAC-1995-HashemiTV #monitoring #quality: A neural network as a quality control monitor of an intelligent system (RRH, JRT, MV), pp. 263–266.
SAC-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.
SAC-1995-SmithPN #analysis #performance: Performance analysis of small FDDI networks (JS, LDP, TN), pp. 401–405.
DAC-1995-KonukFL #fault #performance #simulation: Accurate and Efficient Fault Simulation of Realistic CMOS Network Breaks (HK, FJF, TL), pp. 345–351.
HPCA-1995-CappelloG #communication #performance #towards: Toward High Communication Performance through Compiled Communications on a Circuit Switched Interconnection Network (FC, CG), pp. 44–53.
HPCA-1995-Panda #multi #performance: Fast Barrier Synchronization in Wormhole k-ary n-cube Networks with Multidestination Worms (DKP), pp. 200–209.
HPCA-1995-SivasubramaniamSRV #locality #parallel: Abstracting Network Characteristics and Locality Properties of Parallel Systems (AS, AS, UR, HV), pp. 54–63.
HPDC-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.
HPDC-1995-LiebeherrW #multi: A Versatile Packet Multiplexer for Quality-of-Service Networks (JL, DEW), pp. 148–155.
HPDC-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.
HPDC-1995-SalehiKT #parallel #performance #scheduling: The Performance Impact of Scheduling for Cache Affinity in Parallel Network Processing (JDS, JFK, DFT), pp. 66–77.
HPDC-1995-Sivalingam #hybrid #protocol: Hybrid Media Access Protocols for a DSM System Based on Optical WDM Networks (KMS), pp. 40–47.
IWMM-1995-Fuchs #garbage collection: Garbage Collection on an Open Network (MF), pp. 251–265.
PDP-1995-BeschP #flexibility #parallel #using: Flexible data parallel training of neural networks using MIMD-Computers (MB, HWP), pp. 27–32.
PDP-1995-BoianovJ #distributed #logic #simulation: Distributed logic circuit simulation on a network of workstations (LB, IJ), pp. 304–310.
PDP-1995-MiguelAIB #parallel #simulation: Parallel simulation of message routing networks (JMA, AA, CI, RB), pp. 138–147.
PDP-1995-PeregoP #parallel: Minimizing network contention for mapping tasks onto massively parallel computers (RP, GDP), pp. 210–218.
PDP-1995-StrohschneiderKW #communication #data flow #scalability: An associative communication network for fine and large grain dataflow (JS, BK, KW), pp. 324–331.
SOSP-1995-AndersonDNPRW #file system: Serverless Network File Systems (TEA, MD, JMN, DAP, DSR, RYW), pp. 109–126.
SOSP-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.
STOC-1995-DolevKKP #adaptation #named #performance: Bubbles: adaptive routing scheme for high-speed dynamic networks (SD, EK, DK, DP), pp. 528–537.
STOC-1995-Harchol-BalterW #bound: Bounding delays in packet-routing networks (MHB, DW), pp. 248–257.
STOC-1995-KahaleLMPSS #bound #sorting: Lower bounds for sorting networks (NK, FTL, YM, CGP, TS, ES), pp. 437–446.
STOC-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.
STOC-1995-KarpinskiM #bound #polynomial: Polynomial bounds for VC dimension of sigmoidal neural networks (MK, AM), pp. 200–208.
STOC-1995-KleinbergT #approximate #problem: Approximations for the disjoint paths problem in high-diameter planar networks (JMK, ÉT), pp. 26–35.
HT-ECHT-1994-Brown #hypermedia #question: Adding Networking to Hypertext: Can it be Done Transparently? (PJB), pp. 51–58.
SIGMOD-1994-Ahn #database: Database Issues in Telecommunications Network Management (IA), pp. 37–43.
SIGMOD-1994-Jagadish #database: Databases for Networks (HVJ), p. 522.
VLDB-1994-LiC #database #integration #semantics #semistructured data #using: Semantic Integration in Heterogeneous Databases Using Neural Networks (WSL, CC), pp. 1–12.
ICALP-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.
ICALP-1994-PlaxtonS #bound #sorting: A Super-Logarithmic Lower Bound for Hypercubic Sorting Networks (CGP, TS), pp. 618–629.
ICALP-1994-Siegelmann #on the #power of #probability: On The Computational Power of Probabilistic and Faulty Neural Networks (HTS), pp. 23–34.
ICALP-1994-Upfal #formal method #on the #parallel: On the Theory of Interconnection Networks for Parallel Computers (EU), pp. 473–486.
LFP-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.
CSCW-1994-Bowers: The Work to Make a Network Work: Studying CSCW in Action (JB), pp. 287–298.
CSCW-1994-EvelandBBM #tool support #using: The Role of “Help Networks” in Facilitating Use of CSCW Tools (JDE, ALB, WB, JM), pp. 265–274.
ICML-1994-CravenS #query #using: Using Sampling and Queries to Extract Rules from Trained Neural Networks (MC, JWS), pp. 37–45.
ICML-1994-OpitzS #knowledge-based #search-based #using: Using Genetic Search to Refine Knowledge-based Neural Networks (DWO, JWS), pp. 208–216.
KDD-1994-HeckermanGC #learning #statistics: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (DH, DG, DMC), pp. 85–96.
KDD-1994-SasisekharanSW #machine learning #maintenance #using: Proactive Network Maintenance Using Machine Learning (RS, VS, SMW), pp. 453–462.
SIGIR-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.
AdaEurope-1994-BjornfotLWA: Distribution of Tasks within a Centrally Scheduled Local Area Network (LB, KL, GW, LA), pp. 421–432.
TRI-Ada-1994-DeJohn: The Tyndall Range Control System: Bringing Network Computing to C2 Systems (DD), pp. 474–485.
SAC-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.
SAC-1994-MahoneyLW #exponential: Construction of an artificial neural network for simple exponential smoothing in forecasting (DWM, RPL, SIW), pp. 308–312.
SAC-1994-RosenG #using: Training hard to learn networks using advanced simulated annealing methods (BER, JMG), pp. 256–260.
SAC-1994-Sen94a #using: File placement over a network using simulated annealing326741 (SS), pp. 251–255.
SAC-1994-Tschichold-Gurman #classification #fuzzy: Fuzzy RuleNet: an artificial neural network model for fuzzy classification (NNTG), pp. 145–149.
DAC-1994-CongLB #clustering #multi: Acyclic Multi-Way Partitioning of Boolean Networks (JC, ZL, RB), pp. 670–675.
DAC-1994-DahlgrenL #modelling: Modeling of Intermediate Node States in switch-Level Networks (PD, PL), pp. 722–727.
DAC-1994-WangB #automaton: Permissible Observability Relations in FSM Networks (HYW, RKB), pp. 677–683.
EDAC-1994-Saucier #design #recognition: Design of a Digital Neural Chip: Application to Optical Character Recognition by Neural Network (DJ, GS), pp. 256–260.
HPDC-1994-AsthanaCK: An Experimental Active-Memory-Based Network Environment (AA, MC, PK), pp. 139–146.
HPDC-1994-BlumofeP #parallel #scalability #scheduling: Scheduling Large-Scale Parallel Computations on Networks of Workstations (RDB, DSP), pp. 96–105.
HPDC-1994-BorstCS #distributed #simulation: WAVE Processing of Networks and Distributed Simulation (PMB, MC, PS), pp. 61–69.
HPDC-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.
HPDC-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.
HPDC-1994-HeddayaP #algorithm #interactive #parallel: Mapping Parallel Interactive Algorithms onto Workstation Networks (AH, KP), pp. 211–218.
HPDC-1994-HuangM #design #implementation #reduction: Design and Implementation of Global Reduction Operations Across ATM Networks (CH, PKM), pp. 43–50.
HPDC-1994-HuiCYHA #difference #equation: Solving Partial Differential Equations on a Network of Workstations (CCH, GKKC, MMSY, MH, IA), pp. 194–201.
HPDC-1994-WeissmanG #clustering #parallel: Network Partitioning of Data Parallel Computations (JBW, ASG), pp. 149–156.
PDP-1994-BekleyTG #performance: Performance Of Very High Frequencies Networks (AB, BT, GG), pp. 180–184.
PDP-1994-BirdC #communication #logic programming #modelling #using: Modelling Logic Programming Using A Network Of Communicating Machines (PRB, AJC), pp. 156–161.
PDP-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.
PDP-1994-ChenPC: A Transputer-based Neural Network To Determine Object Positions From Tri-aural Ultrasonic Sensor Data (JC, HP, JMVC), pp. 93–100.
PDP-1994-Ciccarella: Session 5: Networks And Communications (GC), p. 102.
PDP-1994-SmaiW #evaluation #multi: Evaluation Of A Priority Flow Control Scheme For Multicomputer Networks (AHS, HW), pp. 111–116.
PDP-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.
STOC-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.
STOC-1994-ImpagliazzoNW #algorithm #pseudo: Pseudorandomness for network algorithms (RI, NN, AW), pp. 356–364.
STOC-1994-Karger #design #problem #random: Random sampling in cut, flow, and network design problems (DRK), pp. 648–657.
STOC-1994-RaghavanU #performance: Efficient routing in all-optical networks (PR, EU), pp. 134–143.
STOC-1994-TanakaN #complexity #on the: On the complexity of negation-limited Boolean networks (KT, TN), pp. 38–47.
CAV-1994-BalarinS #automation #invariant #on the: On the Automatic Computation of Network Invariants (FB, ALSV), pp. 234–246.
ICLP-1994-MudambiS #parallel: Parallel CLP on Heterogeneous Networks (SM, JS), pp. 124–141.
HT-1993-Noik #scalability: Exploring Large Hyperdocuments: Fisheye Views of Nested Networks (EGN), pp. 192–205.
HT-1993-ShibataK #hypermedia #multi: Dynamic Hypertext and Knowledge Agent Systems for Multimedia Information Networks (YS, MK), pp. 82–93.
ICDAR-1993-AminW #recognition #using: Hand-printed character recognition system using artificial neural networks (AA, WHW), pp. 943–946.
ICDAR-1993-AraiAN #interactive #recognition #using: Intelligent interactive map recognition using neural networks (HA, SA, MN), pp. 922–925.
ICDAR-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.
ICDAR-1993-Fukushima #recognition: Connected character recognition with a neural network (KF), pp. 240–243.
ICDAR-1993-ImadeTW #classification #documentation #image #segmentation #using: Segmentation and classification for mixed text/image documents using neural network (SI, ST, TW), pp. 930–934.
ICDAR-1993-Lemarie #implementation #recognition: Practical implementation of a radial basis function network for handwritten digit recognition (BL), pp. 412–415.
ICDAR-1993-MiyaharaY #multi #recognition: Printed Japanese character recognition based on multiple modified LVQ neural network (KM, FY), pp. 250–253.
ICDAR-1993-RaafatR: A tree structured neural network (HMR, MR), pp. 939–941.
ICDAR-1993-Yamada #feedback #pattern matching #pattern recognition #recognition: Feedback pattern recognition by inverse recall neural network model (KY), pp. 254–257.
SIGMOD-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.
ICALP-1993-ChlebusDP #performance #reliability: Sparse Networks Supporting Efficient Reliable Broadcasting (BSC, KD, AP), pp. 388–397.
HCI-ACS-1993-Hinman-Sweeney #communication: Developing an Electronic International Network for Space Communication (EMHS), pp. 161–166.
HCI-SHI-1993-Chau #interface #natural language: Natural Language Interfaces for Integrated Network Management (RC), pp. 368–372.
HCI-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.
HCI-SHI-1993-UenoO #design: A Design Guideline Search Method that Uses a Neural Network (KU, KO), pp. 27–32.
INTERCHI-1993-BowersR #case study #experience #interface: Exploding the interface: experiences of a CSCW network (JB, TR), pp. 255–262.
INTERCHI-1993-PehrsonS #distributed #multi #research: The MultiG research programme: distributed multimedia applications on Gigabit networks (BP, YS), pp. 246–247.
CIKM-1993-Sussna #ambiguity #for free #semantics #using #word: Word Sense Disambiguation for Free-text Indexing Using a Massive Semantic Network (MS), pp. 67–74.
ICML-1993-Connolly #clustering #concept: Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering (DC), pp. 65–72.
ICML-1993-CravenS #learning #using: Learning Symbolic Rules Using Artificial Neural Networks (MC, JWS), pp. 73–80.
ICML-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.
ICML-1993-GratchCD #learning #scheduling: Learning Search Control Knowledge for Deep Space Network Scheduling (JG, SAC, GD), pp. 135–142.
ICML-1993-MitchellT #comparison #learning: Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches (TMM, ST), pp. 197–204.
ICML-1993-Schwalb #compilation: Compiling Bayesian Networks into Neural Networks (ES), pp. 291–297.
SEKE-1993-LinCH #information management: A Generic Shell-Specialized Knowledge Acquisition Tool for Developing Network Management Software (CYIL, CCC, CSH), pp. 235–238.
SIGIR-1993-HainesC #feedback: Relevance Feedback and Inference Networks (DH, WBC), pp. 2–11.
SIGIR-1993-TzerasH #automation: Automatic Indexing Based on Bayesian Inference Networks (KT, SH), pp. 22–34.
SIGIR-1993-WongCY: Computation of Term Associations by a Neural Network (SKMW, YJC, YY), pp. 107–115.
TOOLS-EUROPE-1993-OlssonW #object-oriented: Object-Oriented Computational Networks for Computer Vision Applications (LO, HW), pp. 223–233.
ESEC-1993-LiuC #automation #evolution #process: Automatic Replanning of Task Networks for Process Model Evolution in EPOS (CL, RC), pp. 434–450.
SAC-1993-BrendelB #3d #re-engineering: 3-Dimensional Reconstruction by Silhouettes to Construct Training Patterns for Neural Networks (TB, JB), pp. 770–774.
SAC-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.
SAC-1993-HashemiCST #monte carlo #paradigm #predict: Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm (RRH, AHC, NLS, JRT), pp. 9–13.
SAC-1993-HowellSW #interface #object-oriented #programming: An Object Oriented Application/Programmer Interface for Network Programming (JH, MS, RW), pp. 437–444.
SAC-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.
SAC-1993-JoshiRN #algorithm #performance #problem: A Fast Algorithm for Generalized Network Location Problems (DSJ, SR, CN), pp. 701–708.
SAC-1993-WangJ #segmentation: Segmentation of Merged Characters by Neural Networks and Shortest-Path (JW, JSNJ), pp. 762–769.
SAC-1993-ZhengLP: Sparse Hypercube-Like Interconnection Networks (SQZ, SL, EKP), pp. 694–700.
DAC-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.
DAC-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.
HPDC-1993-AgrawalAV #generative: Test Pattern Generation for Sequential Circuits on a Network of Workstations (PA, VDA, JV), pp. 114–120.
HPDC-1993-ColombetDM #modelling #using: Star Modeling on IBM RS6000 Networks Using PVM (LC, LD, FM), pp. 121–128.
HPDC-1993-CrandallQ #composition #programming: Block Data Decomposition for Data-Parallel Programming on a Heterogeneous Workstation Network (PC, MJQ), pp. 42–49.
HPDC-1993-CrutcherLFZ #3d #using: Management of Broadband Networks Using a 3D Virtual World (LAC, AAL, SF, MXZ), pp. 306–315.
HPDC-1993-DobosiewiczG #named #protocol: DSMA: A Fair Capacity-1 Protocol for Gigabit Ring Networks (WD, PG), pp. 92–100.
HPDC-1993-FletcherO #distributed #learning #parallel: Parallel and Distributed Systems for Constructive Neural Network Learning (JF, ZO), pp. 174–178.
HPDC-1993-Kung #performance: New Flow Control Methods for High-Speed Networks (HTK), p. 4.
HPDC-1993-NakamuraT #performance #protocol: Starvation-Prevented Priority-Based Total Ordering Broadcast Protocol on High-Speed Single Channel Network (AN, MT), pp. 281–288.
HPDC-1993-RichardsGSBF #adaptation #named: DARTS — A Dynamically Adaptable Transport Service Suitable for High Speed Networks (AR, TG, AS, TB, MF), pp. 68–75.
HPDC-1993-SharmaA #design #distributed #trade-off: Hierarchical Distributed System Network Design with Cost-Performance Tradeoffs (NS, DPA), pp. 336–343.
PDP-1993-0001D #configuration management #multi #trade-off: Dynamic reconfiguration of multicomputer networks: limitations and tradeoffs (JMG, JD), pp. 317–323.
PDP-1993-AzharF #adaptation #using: Adaptive robot control using a processor network (FA, DAF), pp. 351–358.
PDP-1993-GonzalezNQ #distributed: Utilization factor of a distributed system based on an Ethernet network (JDSG, ONT, JMQG), pp. 273–277.
PDP-1993-JesshopeI: The MP1 network chip (CRJ, CI), pp. 338–348.
PDP-1993-KalanteryWWR #lookahead #parallel #simulation: Exploiting lookahead in parallel simulation of SS7 telecommunication networks (NK, SCW, DRW, APR), pp. 324–329.
PDP-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.
PDP-1993-Quinteiro-GonzalezGB #reuse: Alternative strategies with slot reuse on DQDB networks (JMQG, JDSG, JB), pp. 278–283.
PDP-1993-VeglisP #multi #on the: On the bandwidth availability of multistage interconnection networks (AAV, ASP), pp. 284–290.
SOSP-1993-BirrellNOW: Network Objects (AB, GN, SSO, EW), pp. 217–230.
SOSP-1993-HartmanO #file system: The Zebra Striped Network File System (JHH, JKO), pp. 29–43.
SOSP-1993-MaedaB #composition #protocol: Protocol Service Decomposition for High-Performance Networking (CM, BNB), pp. 244–255.
STOC-1993-AielloAMR #approximate: Approximate load balancing on dynamic and asynchronous networks (WA, BA, BMM, SR), pp. 632–641.
STOC-1993-KleinPR #composition #multi: Excluded minors, network decomposition, and multicommodity flow (PNK, SAP, SR), pp. 682–690.
STOC-1993-MacintyreS: Finiteness results for sigmoidal “neural” networks (AM, EDS), pp. 325–334.
STOC-1993-Phillips #problem: The network inhibition problem (CAP), pp. 776–785.
STOC-1993-PhillipsW #online: Online load balancing and network flow (SP, JW), pp. 402–411.
STOC-1993-WilliamsonGMV #algorithm #approximate #problem: A primal-dual approximation algorithm for generalized Steiner network problems (DPW, MXG, MM, VVV), pp. 708–717.
CAV-1993-RhoS #automation #generative #invariant #verification: Automatic Generation of Network Invariants for the Verification of Iterative Sequential Systems (JKR, FS), pp. 123–137.
IWPTS-1993-WittemanW #principle #testing #using: ATM Broadband Network Testing Using the Ferry Principle (MFW, RCvW), pp. 125–138.
CSCW-1992-Borenstein #framework: Computational Mail as Network Infrastructure for Computer-Supported Cooperative Work (NSB), pp. 67–74.
CSCW-1992-Rogers #distributed: Ghosts in the Network: Distributed Troubleshooting in a Shared Working Environment (YR), pp. 346–355.
KR-1992-WeidaL #constraints #reasoning #recognition: Terminological Reasoning with Constraint Networks and an Application to Plan Recognition (RAW, DJL), pp. 282–293.
ML-1992-OmlinG #higher-order #using: Training Second-Order Recurrent Neural Networks using Hints (CWO, CLG), pp. 361–366.
TOOLS-EUROPE-1992-Johnson #eiffel #resource management: An Eiffel Program for Static Network Resource Allocation (PJ), pp. 335–347.
KBSE-1992-PartridgeS #re-engineering: Neural Networks as a Software Engineering Technology (DP, NS), p. 35.
SOSP-WIP-1991-Jeffay92 #operating system #video: Network and Operating System Support for Digital Audio and Video (KJ), p. 16.
ASPLOS-1992-AndersonOST #scheduling: High Speed Switch Scheduling for Local Area Networks (TEA, SSO, JBS, CPT), pp. 98–110.
DAC-1992-ChiproutN #analysis: Generalized Moment-Matching Methods for Transient Analysis of Interconnect Networks (EC, MSN), pp. 201–206.
DAC-1992-Malik #multi #optimisation #using: Optimization of Primitive Gate Networks Using Multiple Output Two-Level Minimization (AAM), pp. 449–453.
DAC-1992-MitsuhashiK #optimisation: Power and Ground Network Topology Optimization for Cell Based VLSIs (TM, ESK), pp. 524–529.
DAC-1992-SarabiP #canonical #performance: Fast Exact and Quasi-Minimal Minimization of Highly Testable Fixed-Polarity AND/XOR Canonical Networks (AS, MAP), pp. 30–35.
HPDC-1992-BerraCGL #data transformation #distributed #multi: Issues in Networking and Data Management of Distributed Multimedia Systems (PBB, CYRC, AG, TDCL), pp. 4–15.
HPDC-1992-BogineniD #comparison #performance #protocol: Performance Comparison of Reservation and Preallocation Protocols for Star-Coupled WDM Photonic Networks (KB, PWD), pp. 94–103.
HPDC-1992-MechosoMFSMDWEM: Distributing a Climate Model across Gigabit Networks (CRM, CCM, JDF, JAS, RWM, WPD, MFW, PGE, AAM), pp. 16–25.
HPDC-1992-NedeljkovicQ #programming: Data-Parallel Programming on a Network of Heterogeneous Workstations (NN, MJQ), pp. 28–36.
HPDC-1992-Oberbrunner #parallel #visualisation: Parallel Networking and Visualization on the Connection Machine CM-5 (GO), pp. 78–84.
HPDC-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.
HPDC-1992-Sunderam #paradigm #tool support #tutorial: Tutorial I: Paradigms and Tools for Heterogeneous Network Computing (VSS), p. 282.
HPDC-1992-VarshneyD #multi #on the: On Flow Control in Multimedia Networks (PKV, SD), pp. 197–205.
STOC-1992-AwerbuchPPS #adaptation: Adapting to Asynchronous Dynamic Networks (BA, BPS, DP, MES), pp. 557–570.
STOC-1992-KlugermanP: Small-Depth Counting Networks (MK, CGP), pp. 417–428.
STOC-1992-Lin #communication #fault tolerance: Fault Tolerant Planar Communication Networks (GL), pp. 133–139.
STOC-1992-MaggsS #algorithm #bound: Simple Algorithms for Routing on Butterfly Networks with Bounded Queues (BMM, RKS), pp. 150–161.
STOC-1992-PanconesiS #algorithm #composition #distributed #problem: Improved Distributed Algorithms for Coloring and Network Decomposition Problems (AP, AS), pp. 581–592.
STOC-1992-Plaxton #sorting: A Hypercubic Sorting Network with Nearly Logarithmic Depth (CGP), pp. 405–416.
IWPTS-1992-KosterD #consistency #mobile #testing: ISO Conformance Testing of the GSM Mobile Network System (RK, MD), pp. 263–273.
LICS-1992-Stark #calculus #data flow: A Calculus of Dataflow Networks (EWS), pp. 125–136.
CHI-1991-BorningT #interactive #video: Two approaches to casual interaction over computer and video networks (AB, MT), pp. 13–19.
CHI-1991-MurakamiT #gesture #recognition #using: Gesture recognition using recurrent neural networks (KM, HT), pp. 237–242.
CHI-1991-ShawG: Supporting personal networking through computer networking (MLGS, BRG), pp. 437–438.
KR-1991-BalkeniusG: Nonmonotonic Inferences in Neural Networks (CB, PG), pp. 32–39.
ML-1991-KowalczykFG #higher-order: Discovering Production Rules with Higher Order Neural Networks (AK, HLF, KG), pp. 158–162.
ML-1991-OliveiraS #concept #learning: Learning Concepts by Synthesizing Minimal Threshold Gate Networks (ALO, ALSV), pp. 193–197.
ML-1991-TowellCS #induction #knowledge-based: Constructive Induction in Knowledge-Based Neural Networks (GGT, MC, JWS), pp. 213–217.
ML-1991-Yeung #approach #induction: A Neural Network Approach to Constructive Induction (DYY), pp. 228–232.
SIGIR-1991-FreiW #algorithm #effectiveness #retrieval: Retrieval Algorithm Effectiveness in a Wide Area Network Information Filter (HPF, MFW), pp. 114–122.
SIGIR-1991-Kwok #adaptation #architecture #query: Query Modification and Expansion in a Network with Adaptive Architecture (KLK), pp. 192–201.
SIGIR-1991-WilkinsonH #documentation #using: Using the Cosine Measure in a Neural Network for Document (RW, PH), pp. 202–210.
AdaEurope-1991-GutzmannRR #development #process #testing: Software Project Activity Network for Managing the Development and Testing Process (KMG, DLR, JLR), pp. 168–192.
DAC-1991-ChenMMF #approach #optimisation: A Resynthesis Approach for Network Optimization (KCC, YM, SM, MF), pp. 458–463.
DAC-1991-LimquecoM #logic #optimisation: Logic Optimization of MOS Networks (JCL, SM), pp. 464–469.
DAC-1991-WilliamsUM #testing: The Interdependence Between Delay-Optimization of Synthesized Networks and Testing (TWW, BU, MRM), pp. 87–92.
PPoPP-1991-KungSGK #performance #scalability: Parallelizing a New Class of Large Applications over High-speed Networks (HTK, PS, MG, MK), pp. 167–177.
STOC-1991-AgrawalKR #algorithm #approximate #problem: When Trees Collide: An Approximation Algorithm for the Generalized Steiner Problem on Networks (AA, PNK, RR), pp. 134–144.
STOC-1991-AspnesHS #coordination #multi: Counting Networks and Multi-Processor Coordination (JA, MH, NS), pp. 348–358.
IWPTS-1991-GuareneM #testing #tool support: Advanced Testing Tools For Intelligent Network (EG, PM), pp. 219–230.
ECHT-1990-BiennierGP: Browsing in Hyperdocuments with the Assistance of a Neural Network (FB, MG, JMP), pp. 288–297.
ICALP-1990-KranakisKB: Computing Boolean Functions on Anonymous Networks (EK, DK, JvdB), pp. 254–267.
ICALP-1990-PanangadenSS #data flow: Stability and Sequentiality in Dataflow Networks (PP, VS, EWS), pp. 308–321.
ICALP-1990-Parrow #behaviour: Structural and Behavioural Equivalences of Networks (JP), pp. 540–552.
CSCW-1990-HartE #effectiveness #implementation #integration: Computer Integration: a Co-Requirement for Effective Inter-Organization Computer Network Implementation (PH, DE), pp. 131–142.
ML-1990-Valtorta #complexity #knowledge base #refinement: More Results on the Complexity of Knowledge Base Refinement: Belief Networks (MV), pp. 419–426.
SIGIR-1990-TurtleC #documentation #retrieval: Inference Networks for Document Retrieval (HRT, WBC), pp. 1–24.
POPL-1990-Russell #on the #principle: On Oraclizable Networks and Kahn’s Principle (JRR), pp. 320–328.
DAC-1990-ChenM #multi #optimisation: Timing Optimization for Multi-Level Combinational Networks (KCC, SM), pp. 339–344.
DAC-1990-McGeerB #analysis: Timing Analysis in Precharge/Unate Networks (PCM, RKB), pp. 124–129.
DAC-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.
DAC-1990-Wolf #automaton #behaviour #synthesis: The FSM Network Model for Behavioral Synthesis of Control-Dominated Machines (WW), pp. 692–697.
STOC-1990-AroraLM #algorithm #online: On-line Algorithms for Path Selection in a Nonblocking Network (SA, FTL, BMM), pp. 149–158.
STOC-1990-DietzfelbingerH #how #taxonomy: How to Distribute a Dictionary in a Complete Network (MD, FMadH), pp. 117–127.
STOC-1990-EvenR #distributed #using: The Use of a Synchronizer Yields Maximum Computation Rate in Distributed Networks (SE, SR), pp. 95–105.
CAV-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.
KR-1989-DechterMP #constraints: Temporal Constraint Networks (RD, IM, JP), pp. 83–93.
KR-1989-RossiM #constraints #linear #using: Exact Solution in Linear Time of Networks of Constraints Using Perfect Relaxation (FR, UM), pp. 394–399.
ML-1989-Anderson #learning: Tower of Hanoi with Connectionist Networks: Learning New Features (CWA), pp. 345–349.
ML-1989-Katz #learning: Integrating Learning in a Neural Network (BFK), pp. 69–71.
ML-1989-ShavlikT #learning: Combining Explanation-Based Learning and Artificial Neural Networks (JWS, GGT), pp. 90–93.
SIGIR-1989-Kwok #information retrieval #probability: A Neural Network for Probabilistic Information Retrieval (KLK), pp. 21–30.
SIGIR-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.
POPL-1989-Jonsson #data flow: A Fully Abstract Trace Model for Dataflow Networks (BJ), pp. 155–165.
ASPLOS-1989-ArnouldBCKSS #design #multi: The Design of Nectar: A Network Backplane for Heterogeneous Multicomputers (EAA, FJB, ECC, HTK, RDS, PS), pp. 205–216.
DAC-1989-CahnK #clustering: Computing Signal Delay in General RC Networks by Tree/Link Partitioning (PKC, KK), pp. 485–490.
DAC-1989-Chowdhury #design #graph #reliability: Optimum Design of Reliable IC Power Networks Having General Graph Topologies (SC), pp. 787–790.
DAC-1989-DuttaM #automation: Automatic Sizing of Power/Ground (P/G) Networks in VLSI (RD, MMS), pp. 783–786.
DAC-1989-HoevenLDD #simulation: A New Model for the High Level Description and Simulation of VLSI Networks (AJvdH, AAdL, EFD, PD), pp. 738–741.
DAC-1989-Libeskind-HadasL #problem: Solutions to the Module Orientation and Rotation Problems by Neural Computation Networks (RLH, CLL), pp. 400–405.
DAC-1989-McGeerB89a #algorithm #performance: Efficient Algorithms for Computing the Longest Viable Path in a Combinational Network (PCM, RKB), pp. 561–567.
DAC-1989-StokK: From Network to Artwork (LS, GPK), pp. 686–689.
DAC-1989-YihM #clustering #design: A Neural Network Design for Circuit Partitioning (JSY, PM), pp. 406–411.
SOSP-1989-ChaseALLL #parallel #programming: The Amber System: Parallel Programming on a Network of Multiprocessors (JSC, FGA, EDL, HML, RJL), pp. 147–158.
STOC-1989-Feder #approach #fixpoint: A New Fixed Point Approach for Stable Networks and Stable Marriages (TF), pp. 513–522.
STOC-1989-KochLMRR: Work-Preserving Emulations of Fixed-Connection Networks (RRK, FTL, BMM, SR, ALR), pp. 227–240.
SIGMOD-1988-OnoAF: Data Manegement of Telecommunication Networks (KO, MA, HF), p. 201.
CSCW-1988-BermannT #question: Can Networks Make an Organization? (TB, KT), pp. 153–166.
ML-1988-TanE #classification #using: Using Weighted Networks to Represent Classification Knowledge in Noisy Domains (MT, LJE), pp. 121–134.
SIGIR-1988-Simpson #query #retrieval: Query Processing in a Heterogeneous Retrieval Network (PS), pp. 359–370.
DAC-1988-StarkH #power management #using: Analyzing CMOS Power Supply Networks Using Ariel (DS, MH), pp. 460–464.
PPEALS-1988-Nicol #parallel #probability #simulation: Parallel Discrete-Event Simulation Of FCFS Stochastic Queuing Networks (DMN), pp. 124–137.
STOC-1988-BermanS #fault tolerance: Investigations of Fault-Tolerant Networks of Computers (PB, JS), pp. 66–77.
STOC-1988-BhattCHLR #simulation: Optimal Simulations by Butterfly Networks (SNB, FRKC, JWH, FTL, ALR), pp. 192–204.
ICALP-1987-LeeuwenSUZ #distributed #game studies: Guessing Games and Distributed Computations in Synchronous Networks (JvL, NS, JU, SZ), pp. 347–356.
ICALP-1987-ShyamasundarNP #nondeterminism #semantics: Semantics for Nondeterministic Asynchronous Broadcast Networks (RKS, KTN, TP), pp. 72–83.
POPL-1987-Stark #concurrent #process #semantics: Concurrent Transition System Semantics of Process Networks (EWS), pp. 199–210.
POPL-1987-WidomGS #proving: Completeness and Incompleteness of Trace-Based Network Proof Systems (JW, DG, FBS), pp. 27–38.
DAC-1987-HealeyK #generative #logic: Abstract Routing of Logic Networks for Custom Module Generation (STH, WJK), pp. 230–236.
DAC-1987-McDermottS #paradigm: Switch Directed Dynamic Causal Networks — a Paradigm for Electronic System Diagnosis (RMM, DS), pp. 258–264.
SOSP-1987-MogulRA #performance: The Packet Filter: An Efficient Mechanism for User-level Network Code (JCM, RFR, MJA), pp. 39–51.
SOSP-1987-NelsonWO #file system: Caching in the Sprite Network File System (MNN, BBW, JKO), pp. 3–4.
STOC-1987-BilardiP #complexity: Size-Time Complexity of Boolean Networks for Prefix Computations (GB, FPP), pp. 436–442.
VLDB-1986-Seki #database #distributed #performance: New Seat Reservation System for Japanese National Railways — Distributed Processing Network and High Efficiency Databases (ES), pp. 502–510.
ICALP-1986-BrzozowskiS #analysis #simulation: Correspondence between Ternary Simulation and Binary Race Analysis in Gate Networks (JAB, CJHS), pp. 69–78.
GG-1986-HotzKM #algebra #equation #on the #recursion: On Network Algebras and Recursive Equations (GH, RK, PM), pp. 250–261.
GG-1986-MontanariR #algorithm #constraints #performance: An Efficient Algorithm for the Solution of Hierarchical Networks of Constraints (UM, FR), pp. 440–457.
CSCW-1986-EvelandB #assessment #communication #empirical #evolution: Evolving electronic communication networks: an empirical assessment (JDE, TKB), pp. 91–101.
POPL-1986-LengauerH #concurrent #sorting #theorem: A Mechanically Certified Theorem about Optimal Concurrency of Sorting Networks (CL, CHH), pp. 307–317.
DAC-1986-Beckett #c #modelling: MOS circuit models in Network C (WSB), pp. 171–178.
DAC-1986-VidigalND #analysis #integration #named: CINNAMON: coupled integration and nodal analysis of MOS networks (LMV, SRN, SWD), pp. 179–185.
STOC-1986-DworkPPU #bound #fault tolerance: Fault Tolerance in Networks of Bounded Degree (CD, DP, NP, EU), pp. 370–379.
STOC-1986-FeldmanFP: Non-Blocking Networks (PF, JF, NP), pp. 247–254.
LICS-1986-JonssonMW #data flow #deduction #synthesis #towards: Towards Deductive Synthesis of Dataflow Networks (BJ, ZM, RJW), pp. 26–37.
PODS-1985-PageP #distributed: Distributed Management in Local Area Networks (TWPJ, GJP), pp. 135–142.
VLDB-1985-LuC #algorithm #distributed: Some Experimental Results on Distributed Join Algorithms in a Local Network (HL, MJC), pp. 292–304.
ICALP-1985-LandauYG #algorithm #distributed: Distributed Algorithms in Synchronous Broadcasting Networks (GML, MMY, ZG), pp. 363–372.
ICALP-1985-ZwiersRB #composition #concurrent: Compositionality and Concurrent Networks: Soundness and Completeness of a Proofsystem (JZ, WPdR, PvEB), pp. 509–519.
POPL-1985-NguyenGO #process #proving: A Model and Temporal Proof System for Networks of Processes (VN, DG, SSO), pp. 121–131.
DAC-1985-Chan #analysis #development #multi: Development of a timing analysis program for multiple clocked network (EC), pp. 816–819.
DAC-1985-HealeyG #composition #logic: Decomposition of logic networks into silicon (STH, DDG), pp. 162–168.
STOC-1985-Feldman #fault tolerance: Fault Tolerance of Minimal Path Routings in a Network (PF), pp. 327–334.
SIGMOD-1984-Chang #database #design #distributed #using: Simplifying Distributed Database Systems Design by Using a Broadcast Network (JMC), pp. 223–233.
SIGMOD-1984-ChenK #relational #retrieval: Combining Relational and Network Retrieval Methods (HHC, SMK), pp. 131–142.
ICALP-1984-ColbournP #concurrent: Concurrent Transmissions in Broadcast Networks (CJC, AP), pp. 128–136.
POPL-1984-ShashaPE #protocol #verification: Temporal Verification of Carrier-Sense Local Area Network Protocols (DS, AP, WE), pp. 54–65.
DAC-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.
DAC-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.
STOC-1984-Awerbuch #performance #protocol: An Efficient Network Synchronization Protocol (BA), pp. 522–525.
STOC-1984-BilardiP #sorting: A Minimum Area VLSI Network for O(log n) Time Sorting (GB, FPP), pp. 64–70.
STOC-1984-BroderDFS #fault tolerance #performance: Efficient Fault Tolerant Routings in Networks (AZB, DD, MJF, BS), pp. 536–541.
STOC-1984-DolevHSS #fault tolerance: A New Look at Fault Tolerant Network Routing (DD, JYH, BS, HRS), pp. 526–535.
SLP-1984-WarrenADK84 #distributed #prolog #source code: Executing Distributed Prolog Programs on a Broadcast Network (DSW, MA, SKD, LVK), pp. 12–21.
PODS-1983-ChinR #clustering #termination: Optimal Termination Prococols for Network Partitioning (FYLC, KVSR), pp. 25–35.
PODS-1983-MurthyKK #algorithm #approximate #problem: An Approximation Algorithm to the File Allocation Problem in Computer Networks (KM, JBK, MSK), pp. 258–266.
SIGMOD-1983-KuckS #consistency #design: Designing Globally Consistent Network Schemas (SMK, YS), pp. 185–195.
VLDB-1983-Subieta #database #relational: High-Level Navigational Facilities for Network and Relational Databases (KS), pp. 380–386.
ICALP-1983-ReifS #logic #multi: A Multiprocess Network Logic with Temporal and Spatial Modalities (JHR, APS), pp. 629–639.
SIGIR-1983-CroftWT #documentation #retrieval: A Network Organization Used for Document Retrieval (WBC, RW, RT), pp. 178–188.
DAC-1983-ChiangV #detection #fault #logic #on the: On fault detection in CMOS logic networks (KWC, ZGV), pp. 50–56.
STOC-1983-AjtaiKS #sorting: An O(n log n) Sorting Network (MA, JK, ES), pp. 1–9.
STOC-1983-Gabow #performance #problem #reduction: An Efficient Reduction Technique for Degree-Constrained Subgraph and Bidirected Network Flow Problems (HNG), pp. 448–456.
STOC-1983-ReifV #linear: A Logarithmic Time Sort for Linear Size Networks (JHR, LGV), pp. 10–16.
PODS-1982-KuckS #database: A Universal Relation Database System Implemented via the Network Model (SMK, YS), pp. 147–157.
SIGMOD-1982-SchlageterRPU #query: The Network Query Language NOAH (GS, MR, UP, RU), pp. 104–110.
VLDB-1982-GangopadhyayDB #approach #object-oriented #semantics: Semantics of Network Data Manipulation Languages: An Object-Oriented Approach (DG, UD, JCB), pp. 357–369.
VLDB-1982-WhangWS #database #design #physics #using: Physical Design of Network Model Databases Using the Property of Separability (KYW, GW, DS), pp. 98–107.
DAC-1982-BeningLAS #analysis #logic: Developments in logic network path delay analysis (LB, TAL, CRA, JES), pp. 605–615.
DAC-1982-FiducciaM #heuristic #linear: A linear-time heuristic for improving network partitions (CMF, RMM), pp. 175–181.
DAC-1982-UlrichH #modelling #simulation: Speed and accuracy in digital network simulation based on structural modeling (EU, DH), pp. 587–593.
STOC-1982-HongS: Notes on Merging Networks (ZH, RS), pp. 296–302.
ICALP-1981-PreparataV #fourier #integer #multi: Area-Time Optimal VLSI Networks for Computing Integer Multiplications and Discrete Fourier Transform (FPP, JV), pp. 29–40.
ICALP-1981-Reif: Minimum S-T Cut of a Planar Undirected Network in O(n log²(n)) Time (JHR), pp. 56–67.
PS-1981-NielsenS #communication: Communication Network (LSN, IHS), pp. 118–136.
SIGIR-1981-Shoval #concept #retrieval #semantics: Expert/Consultation System for a Retrieval Data-Base with Semantic Network of Concepts (PS), pp. 145–149.
DAC-1981-Haynie #automation #database #design #hybrid #relational: The relational/network Hybrid data model for Design Automation Databases (MNH), pp. 646–652.
DAC-1981-Masurkar #algorithm #development #fault #identification: An algorithmic pretest development for fault identification in analog networks (VM), pp. 204–212.
DAC-1981-PenfieldR: Signal delay in RC tree networks (PPJ, JR), pp. 613–617.
SOSP-1981-HerbertN: Sequencing Computation Steps in a Network (AJH, RMN), pp. 59–63.
SOSP-1981-PopekWCERT #distributed #named #reliability: LOCUS — A Network Transparent, High Reliability Distributed System (GJP, BJW, JMC, DAE, CSK, GR, GT), pp. 169–177.
SOSP-1981-RashidR #communication #kernel #named #operating system: Accent: A Communication Oriented Network Operating System Kernel (RFR, GGR), pp. 64–75.
SOSP-1981-Spector: Performing Remore Operations Efficiently on a Local Computer Network (AZS), pp. 76–77.
VLDB-1980-Navathe #approach: An Intuitive Approach to Normalize Network Structured Data (SBN), pp. 350–358.
ICALP-1980-FredericksonJ #generative #set: Generating and Searching Sets Induced by Networks (GNF, DBJ), pp. 221–233.
STOC-1980-Angluin: Local and Global Properties in Networks of Processors (DA), pp. 82–93.
STOC-1980-Toueg: Deadlock- and Livelock-Free Packet Switching Networks (ST), pp. 94–99.
SIGMOD-1979-IraniL #concurrent #database #modelling #transaction: Queuing Network Models for Concurrent Transaction Processing in a Database System (KBI, HLL), pp. 134–142.
SIGMOD-1979-Zaniolo #design #relational: Design of Relational Views over Network Schemas (CZ), pp. 179–190.
FM-1979-Moriconi #design #interactive #verification: Interactive Design and Verification: A Message Switching Network Example (MM), pp. 355–388.
DAC-1979-Cha #fault #multi: Multiple fault diagnosis in combinational networks (CWC), pp. 149–155.
DAC-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.
DAC-1979-GiambiasiMM #named #scalability #simulation: SILOG: A practical tool for large digital network simulation (NG, AM, DM), pp. 263–271.
SOSP-1979-AimesL #behaviour #communication: The Behavior of Ethernet-Like Computer Communication Networks (GTA, EDL), pp. 66–81.
STOC-1979-GalilN: Network Flow and Generalized Path Compression (ZG, AN), pp. 13–26.
STOC-1979-TouegU #concurrent: Deadlock-Free Packet Switching Networks (ST, JDU), pp. 89–98.
VLDB-1978-SuLLLD #database #distributed #named #relational: MICRONET: A Microcomputer Network System for Managing Distributed Relational Databases (SYWS, SL, CjL, DHL, KLD), pp. 288–298.
ICALP-1978-Schnorr #multi #symmetry: Multiterminal Network Flow and Connectivity in Unsymmetrical Networks (CPS), pp. 425–439.
ICALP-1978-Toffoli #integration: Integration of the Phase-Difference Relations in Asynchronous Sequential Networks (TT), pp. 457–463.
GG-1978-Pfaltz #2d #graph grammar #set: A Graph Grammar that Describes the Set of Two-Dimensional Surface Networks (JLP), pp. 379–388.
SIGIR-1978-Tharp #database #design #personalisation: Augmented Transition Networks as a Design Tool for Personalized Data Base Systems (ALT), pp. 2–13.
DAC-1978-El-Ziq #automation #constraints #design #logic: Logic design automation of MOS combinational networks with fan-in, fan-out constraints (YMEZ), pp. 240–249.
DAC-1978-Stange #logic #scalability: A test methodology for large logic networks (GHS), pp. 103–109.
SIGMOD-1977-Swartwout #database #specification: An Access Path Specification Language for Restructuring Network Databases (DES), pp. 88–101.
VLDB-1977-NeuholdB #database #distributed #named: POREL: A Distributed Data Base on an Inhomogeneous Computer Network (EJN, HB), pp. 380–395.
DAC-1977-BottorffFGO #generative #logic #scalability #testing: Test generation for large logic networks (PSB, REF, NHG, EJO), pp. 479–485.
DAC-1977-Carley #automation #design #named: SWESS — the middle system of a design automation network (DKC), pp. 425–430.
DAC-1977-El-ZiqS #automation #design #logic: Logic design automation of diagnosable MOS combinational logic networks (YMEZ, SYHS), pp. 205–215.
DAC-1977-MorrisMG #scalability #simulation #using: Simulation of large communications networks using SPIN (ILM, JM, RG), pp. 194–204.
DAC-1977-Walsh #named: SPIDER — a Computer Aided Manufacturing Network (MEW), pp. 431–436.
VLDB-J-1975-MahmoudR76 #distributed: Optimal Allocation of Resources in Distributed Information Networks (SAM, JSR), pp. 66–78.
SIGMOD-1976-DeheneffeH #database #named: NUL: A Navigational User’s Language for a Network Structured Data Base (CD, HH), pp. 135–142.
ICSE-1976-Rubin #on the #reliability: On Reliable Topologies for Computer Networks (IR), pp. 263–267.
DAC-1976-Bernstein #approach #modelling #physics: Transmission line models, a unified physical network approach (SB), pp. 117–130.
DAC-1976-ChicoixPG #scalability #simulation: An accurate time delay model for large digital network simulation (CC, JP, NG), pp. 54–60.
SIGMOD-1975-McGee #data type: File-Level Operations on Network Data Structures (WCM), pp. 32–47.
SIGMOD-1975-Schneider #named #specification: DSCL — A Data Specification and Conversion Language for Networks (GMS), pp. 139–148.
VLDB-1975-MahmoudR #distributed: Optimal Allocation of Resources in Distributed Information Networks (SAM, JSR), p. i.
VLDB-1975-RoussopoulosM #database #semantics #using: Using Semantic Networks for Database Management (NR, JM), pp. 144–172.
VLDB-1975-Zimmerman #database #relational: Different Views of a Data Base: Coexistence between Network Model and Relational Model (KZ), pp. 535–537.
DAC-1975-GilliO #algebra #scalability #simulation: A new algebraic procedure for the simulation of large digital networks (LG, FO), pp. 32–41.
SOSP-1975-AkkoyunluEH #constraints #design #trade-off: Some Constraints and Tradeoffs in the Design of Network Communications (EAA, KE, RVH), pp. 67–74.
SOSP-1975-Chesson: The Network Unix System (GLC), pp. 60–66.
SIGFIDET-1974-SuL #automation #database: A Semi-automatic Data Base Translation System for Achieving Data Sharing in a Network Environment (SYWS, HL), pp. 227–247.
SIGIR-1973-Marcus #interactive #interface #retrieval: A Translating Computer Interface for a Network of Heterogeneous Interactive Retrieval Systems (RSM), pp. 2–12.
DAC-1973-UlrichB #concurrent #simulation: The concurrent simulation of nearly identical digital networks (EGU, TEB), pp. 145–150.
DAC-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.
DAC-1972-Schmidt #composition: Gate for gate modular replacement of combinational switching networks (DCS), pp. 331–340.
DAC-1972-Sr #automation #design: Design automation in network computers (EKBS), pp. 350–356.
DAC-1971-BossenOPS: Minimum test patterns for residue networks (DCB, DLO, AMP, MSS), pp. 278–284.
DAC-1971-TsudaKGN #analysis #named #simulation: NONLISA: Nonlinear network simulation and analysis program (TT, TK, SG, TN), pp. 347–357.
DAC-1970-Chace #dynamic analysis #named #prototype: DAMN — a prototype program for the Dynamic Analysis of Mechanical Networks (MAC), pp. 158–172.
DAC-1970-Sr70a #approach #design: Digital network design aids — an integrated approach (EKBS), pp. 220–229.
DAC-1967-Branin #analysis: Computer methods of network analysis (FHBJ).
SHARE-1964-Branin #analysis #using: D-C and transient analysis of networks using a digital computer (FHBJ).