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7895 papers:

ASPLOSASPLOS-2020-0004JE #hybrid #named
HSM: A Hybrid Slowdown Model for Multitasking GPUs (XZ0, MJ, LE), pp. 1371–1385.
ASPLOSASPLOS-2020-MengPH #mobile #named #similarity
Coterie: Exploiting Frame Similarity to Enable High-Quality Multiplayer VR on Commodity Mobile Devices (JM, SP, YCH), pp. 923–937.
ASPLOSASPLOS-2020-ShenTCCWXXY #named #performance
Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX (YS, HT, YC, KC, RW, YX, YX, SY), pp. 955–970.
CCCC-2020-LazcanoMJC #runtime
Runtime multi-versioning and specialization inside a memoized speculative loop optimizer (RL, DM, EJ, PC), pp. 96–107.
CCCC-2020-PizzutiSD #functional #generative #information retrieval #matrix #performance
Generating fast sparse matrix vector multiplication from a high level generic functional IR (FP, MS, CD), pp. 85–95.
CGOCGO-2020-JavanmardAKPCH #algorithm #compilation #divide and conquer #parametricity #programming #recursion #using
Deriving parametric multi-way recursive divide-and-conquer dynamic programming algorithms using polyhedral compilers (MMJ, ZA, MK, LNP, RC, RJH), pp. 317–329.
CGOCGO-2020-ShaikhhaSGO #data analysis #optimisation
Multi-layer optimizations for end-to-end data analytics (AS, MS, AG, DO), pp. 145–157.
CSLCSL-2020-AcclavioM #linear #logic
Generalized Connectives for Multiplicative Linear Logic (MA, RM), p. 16.
ECSAECSA-2019-Sozer #architecture #clustering #composition #effectiveness
Evaluating the Effectiveness of Multi-level Greedy Modularity Clustering for Software Architecture Recovery (HS), pp. 71–87.
ECSAECSA-2019-WagemannKS #architecture #optimisation #product line
ADOOPLA - Combining Product-Line- and Product-Level Criteria in Multi-objective Optimization of Product Line Architectures (TW, RTK, KS), pp. 126–142.
EDMEDM-2019-AbdiKSG #adaptation #education
A Multivariate ELO-based Learner Model for Adaptive Educational Systems (SA, HK, SWS, DG).
EDMEDM-2019-ChenGD #problem
Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data (LC, EG, AD).
EDMEDM-2019-MooreCEZRB #approach #component #student
Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and Tasks (RM, AC, ME, AHZ, AR, PB).
ICPCICPC-2019-PeitekABPS #data analysis #named
CodersMUSE: multi-modal data exploration of program-comprehension experiments (NP, SA, AB, CP, JS), pp. 126–129.
MSRMSR-2019-Zhu0 #email #empirical #repository #version control
An empirical study of multiple names and email addresses in OSS version control repositories (JZ, JW0), pp. 409–420.
SANERSANER-2019-WangWZL #detection
Software Multiple-Level Change Detection Based on Two-Step MPAT Matching (TW, DW, YZ, BL), pp. 4–14.
SCAMSCAM-2019-AlizadehFK #developer #less is more #refactoring
Less is More: From Multi-objective to Mono-objective Refactoring via Developer's Knowledge Extraction (VA, HF, MK), pp. 181–192.
CIAACIAA-2019-KutribMW #automaton
Input-Driven Multi-counter Automata (MK, AM, MW), pp. 197–208.
IFM-2019-VoineaDG #resource management
Resource Sharing via Capability-Based Multiparty Session Types (ALV, OD, SJG), pp. 437–455.
IFM-2019-VuHKL #code generation
A Multi-target Code Generator for High-Level B (FV, DH, PK, ML), pp. 456–473.
SEFMSEFM-2019-AraujoCMS #cyber-physical #effectiveness #testing
Multi-objective Search for Effective Testing of Cyber-Physical Systems (HLSA, GC, MRM, AS), pp. 183–202.
SEFMSEFM-2019-WijsW #code generation #composition #concurrent #thread #verification
Modular Indirect Push-Button Formal Verification of Multi-threaded Code Generators (AW, MW), pp. 410–429.
HaskellHaskell-2019-PickeringWK #source code
Multi-stage programs in context (MP, NW, CK), pp. 71–84.
AIIDEAIIDE-2019-WareGSF #experience #graph
Multi-Agent Narrative Experience Management as Story Graph Pruning (SGW, ETG, AS, RF), pp. 87–93.
CHI-PLAYCHI-PLAY-2019-CmentowskiKK #approach #artificial reality #game studies #named
Outstanding: A Multi-Perspective Travel Approach for Virtual Reality Games (SC, AK, JHK), pp. 287–299.
CHI-PLAYCHI-PLAY-2019-LakierNIV #game studies
Cross-Car, Multiplayer Games for Semi-Autonomous Driving (ML, LEN, TI, DV0), pp. 467–480.
CHI-PLAYCHI-PLAY-2019-LehtonenKKHKPVV #game studies
Movement Empowerment in a Multiplayer Mixed-Reality Trampoline Game (LL, MDK, RAK, LH, JK, SP, JV, LV, PH), pp. 19–29.
CoGCoG-2019-AmarTAM #scalability #towards
Towards Cheap Scalable Browser Multiplayer (YA, GT, GA, LM), pp. 1–4.
CoGCoG-2019-BallabioL #heuristic
Heuristics for Placing the Spawn Points in Multiplayer First Person Shooters (MB, DL), pp. 1–8.
CoGCoG-2019-BlomBS #modelling #towards
Towards Multi-modal Stress Response Modelling in Competitive League of Legends (PMB, SB, PS), pp. 1–4.
CoGCoG-2019-BornSM #physics
Co-Located vs. Remote Gameplay: The Role of Physical Co-Presence in Multiplayer Room-Scale VR (FB, PS, MM), pp. 1–8.
CoGCoG-2019-GomesDM #game studies #interactive #named
GIMME: Group Interactions Manager for Multiplayer sErious games (SG, JD, CM), pp. 1–8.
CoGCoG-2019-IlhanGP #education #learning
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning (EI, JG, DPL), pp. 1–8.
CoGCoG-2019-KiarostamiDMRG #monte carlo
Multi-Agent non-Overlapping Pathfinding with Monte-Carlo Tree Search (MSK, MRD, SKM, DR, SG), pp. 1–4.
CoGCoG-2019-MillerPCE #analysis #game studies #social
An Analysis of Peer Presence Social Group Dynamics to Enhance Player Engagement in Multiplayer Games (MM, NP, GC, CE), pp. 1–8.
CoGCoG-2019-ParkMMBWL #education #game studies #generative #network
Generating Educational Game Levels with Multistep Deep Convolutional Generative Adversarial Networks (KP, BWM, WM, KEB, ENW, JCL), pp. 1–8.
CoGCoG-2019-PiergigliRMG #learning
Deep Reinforcement Learning to train agents in a multiplayer First Person Shooter: some preliminary results (DP, LAR, DM, DG), pp. 1–8.
CoGCoG-2019-ZhuO #experience #game studies
Experience Management in Multi-player Games (JZ, SO), pp. 1–6.
FDGFDG-2019-LiGH #game studies #generative #using #video
End-to-end let's play commentary generation using multi-modal video representations (CL0, SG, BH), p. 7.
CIKMCIKM-2019-BiTDMC #case study #dependence
A Study of Context Dependencies in Multi-page Product Search (KB, CHT, YD, VM, WBC), pp. 2333–2336.
CIKMCIKM-2019-ChelliahZS #mining #overview #recommendation
Recommendation for Multi-stakeholders and through Neural Review Mining (MC, YZ, SS), pp. 2979–2981.
CIKMCIKM-2019-DengLSDFYL #approach #named
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data (YD, YL, YS, ND, WF, MY0, KL), pp. 719–728.
CIKMCIKM-2019-DongZHSL #detection #graph #network
Multiple Rumor Source Detection with Graph Convolutional Networks (MD, BZ, NQVH, HS, GL), pp. 569–578.
CIKMCIKM-2019-DuanZYZLWWZS0 #learning #mining #summary
Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning (XD, YZ, LY, XZ, XL, TW, RW, QZ, CS, FW0), pp. 1361–1370.
CIKMCIKM-2019-DuongRN #sketching #streaming #using
Sketching Streaming Histogram Elements using Multiple Weighted Factors (QHD, HR, KN), pp. 19–28.
CIKMCIKM-2019-DuT #named
MrMine: Multi-resolution Multi-network Embedding (BD, HT), pp. 479–488.
CIKMCIKM-2019-GiurgiuS #detection
Additive Explanations for Anomalies Detected from Multivariate Temporal Data (IG, AS), pp. 2245–2248.
CIKMCIKM-2019-GuLL #interactive #network
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots (JCG, ZHL, QL), pp. 2321–2324.
CIKMCIKM-2019-GuoAWPC00 #classification #recognition
Multi-stage Deep Classifier Cascades for Open World Recognition (XG, AAF, LW, HP, XC0, KZ0, LZ0), pp. 179–188.
CIKMCIKM-2019-Han #automation #text-to-text
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration (JH), pp. 5–6.
CIKMCIKM-2019-HosseiniH #feature model #kernel #learning #prototype #representation
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection (BH, BH), pp. 1863–1872.
CIKMCIKM-2019-HuangCLCHLZZW #approach #classification #network
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach (WH, EC, QL0, YC, ZH, YL, ZZ, DZ, SW), pp. 1051–1060.
CIKMCIKM-2019-HuangLZYCGH #education #online #recommendation
Exploring Multi-Objective Exercise Recommendations in Online Education Systems (ZH, QL0, CZ, YY, EC, WG, GH), pp. 1261–1270.
CIKMCIKM-2019-HuangWWT #named #network #self
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting (SH, DW, XW, AT), pp. 2129–2132.
CIKMCIKM-2019-JinZ0LGQJTWWWY #named #order #platform
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms (JJ, MZ, WZ0, ML, ZG, ZQ, YJ, XT, CW, JW0, GW, JY), pp. 1983–1992.
CIKMCIKM-2019-LaiSYHLY #recommendation
Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization (HCL, HHS, DNY, JLH, WCL, PSY), pp. 1773–1782.
CIKMCIKM-2019-LiECL #clustering #identification #mobile #network
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks (LL, SME, CAC, CL), pp. 2253–2256.
CIKMCIKM-2019-LiLWXZHKCLL #network #recommendation
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (CL, ZL, MW, YX, HZ, PH, GK, QC, WL, DLL), pp. 2615–2623.
CIKMCIKM-2019-LiWWLYLW #learning #platform
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage (CL, SW, HW, YL, PSY, ZL, WW), pp. 249–258.
CIKMCIKM-2019-LiZWHYL #network
Multi-Hot Compact Network Embedding (CL, LZ, SW, FH, PSY, ZL), pp. 459–468.
CIKMCIKM-2019-LuoSAZ0 #learning #retrieval
Cross-modal Image-Text Retrieval with Multitask Learning (JL, YS, XA, ZZ, MY0), pp. 2309–2312.
CIKMCIKM-2019-PratamaZAO0 #automation #network #streaming
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples (MP, CZ, AA, YSO, WD0), pp. 1171–1180.
CIKMCIKM-2019-QiuW0 #predict #problem
Question Difficulty Prediction for Multiple Choice Problems in Medical Exams (ZQ, XW, WF0), pp. 139–148.
CIKMCIKM-2019-ShiLLP #network
A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management (SS, JL, GL, PP), pp. 1613–1622.
CIKMCIKM-2019-ShiRWR #classification #online #sentiment
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts (TS, VR, SW, CKR), pp. 2723–2731.
CIKMCIKM-2019-SinhaMSMS0 #approach #identification #twitter
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter (PPS, RM, RS, DM, RRS, HL0), pp. 941–950.
CIKMCIKM-2019-TanYHD #learning #segmentation #semantics
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection (YT, LY, QH, ZD), pp. 831–840.
CIKMCIKM-2019-TaoGFCYZ #game studies #learning #named #online #predict
GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games (JT, LG, CF, LC, DY, SZ), pp. 2841–2849.
CIKMCIKM-2019-TrittenbachB #detection #learning
One-Class Active Learning for Outlier Detection with Multiple Subspaces (HT, KB), pp. 811–820.
CIKMCIKM-2019-WangSGYZF #semantics
Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features (MW, DS, NG, WY, TZ, ZF), pp. 199–208.
CIKMCIKM-2019-WangWC #network
Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network (HW, ZW, JC), pp. 1081–1090.
CIKMCIKM-2019-WangZWYZL #recognition
Video-level Multi-model Fusion for Action Recognition (XW, JZ, LW, PSY, JZ, HL), pp. 159–168.
CIKMCIKM-2019-WeiK #information management
Knowledge Transfer based on Multiple Manifolds Assumption (PW, YK), pp. 279–287.
CIKMCIKM-2019-XiaoZZXBZY #3d #network #recognition
Multi-view Moments Embedding Network for 3D Shape Recognition (JX, YZ, PZ, KX, KB, CZ, WY), pp. 2257–2260.
CIKMCIKM-2019-XiaWY #comprehension #learning
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning (JX, CW, MY), pp. 2393–2396.
CIKMCIKM-2019-XieXYZ #graph
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation (XX, YX, PSY, YZ), pp. 649–658.
CIKMCIKM-2019-XinEBYLZY0 #online #predict
Multi-task based Sales Predictions for Online Promotions (SX, ME, JB, CY, ZL, XZ, YY, CW0), pp. 2823–2831.
CIKMCIKM-2019-XuePLS
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding (HX, JP, JL, XS), pp. 2117–2120.
CIKMCIKM-2019-XuWHL #recognition
Exploiting Multiple Embeddings for Chinese Named Entity Recognition (CX, FW, JH, CL), pp. 2269–2272.
CIKMCIKM-2019-YanLWLWZG #classification #image #random #using
Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples (WY, RL, JW, YL, JW, PZ, XG), pp. 1131–1140.
CIKMCIKM-2019-YinLW #analysis #interactive #sentiment
Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis (DY, XL, XW0), pp. 1031–1040.
CIKMCIKM-2019-YinRYZZZLZ #case study #modelling
Experimental Study of Multivariate Time Series Forecasting Models (JY, WR, MY, JZ, KZ, CZ, JL, QZ), pp. 2833–2839.
CIKMCIKM-2019-YouVLL #network #recommendation
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation (DY, NV, KL, QL), pp. 1471–1480.
CIKMCIKM-2019-ZhangH #named #nearest neighbour
GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search Engine (MZ, YH), pp. 1673–1682.
CIKMCIKM-2019-ZhangLZLWWX #benchmark #learning #metric #named #representation
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning (DZ, JL, HZ, YL, LW, PW, HX), pp. 2763–2771.
CIKMCIKM-2019-ZhouJZQJWWYY #learning
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching (MZ, JJ, WZ0, ZQ, YJ, CW, GW, YY0, JY), pp. 2645–2653.
CIKMCIKM-2019-ZouLAWZ #learning #named #rank
MarlRank: Multi-agent Reinforced Learning to Rank (SZ, ZL, MA, JW0, PZ), pp. 2073–2076.
ECIRECIR-p1-2019-MisawaMTO #generative
Multiple Keyphrase Generation Model with Diversity (SM, YM, MT, TO), pp. 869–876.
ECIRECIR-p1-2019-OscheCB #named #recommendation
AntRS: Recommending Lists Through a Multi-objective Ant Colony System (PEO, SC, AB), pp. 229–243.
ECIRECIR-p2-2019-HurriyetogluYYY #automation #set
A Task Set Proposal for Automatic Protest Information Collection Across Multiple Countries (AH, EY, DY, ÇY, BG, FD, OM), pp. 316–323.
ECIRECIR-p2-2019-IonescuMPDPRTLG #retrieval #security
ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications (BI, HM, RP, DTDN, LP, MR, MTT, ML, CG, YDC, VL, VK, ABA, SAH, VVD, JL, DDF, OP, CMF, JC, AC, AGSdH, NG, EK, CRdB, CC, NV, KK), pp. 301–308.
ICMLICML-2019-0001HLZZ #clustering #named #parametricity
COMIC: Multi-view Clustering Without Parameter Selection (XP0, ZH, JL, HZ, JTZ), pp. 5092–5101.
ICMLICML-2019-0002LA #network
Exploring interpretable LSTM neural networks over multi-variable data (TG0, TL, NAF), pp. 2494–2504.
ICMLICML-2019-AbelsRLNS #learning
Dynamic Weights in Multi-Objective Deep Reinforcement Learning (AA, DMR, TL, AN, DS), pp. 11–20.
ICMLICML-2019-AlbuquerqueMDCF #generative #network
Multi-objective training of Generative Adversarial Networks with multiple discriminators (IA, JM, TD, BC, THF, IM), pp. 202–211.
ICMLICML-2019-AntelmiARL #analysis #semistructured data
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data (LA, NA, PR, ML), pp. 302–311.
ICMLICML-2019-BenyahiaYBJDSM
Overcoming Multi-model Forgetting (YB, KY, KBS, MJ, ACD, MS, CM), pp. 594–603.
ICMLICML-2019-BeygelzimerPSTW #algorithm #classification #linear #performance
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case (AB, DP, BS, DT, CYW, CZ), pp. 624–633.
ICMLICML-2019-CaoS #learning #problem
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem (JC, WS), pp. 912–920.
ICMLICML-2019-ChaudhuriK #identification #probability
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits (ARC, SK), pp. 991–1000.
ICMLICML-2019-ChenYWLYLL #scalability
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching (ZC, ZY, XW, XL, XY, GL, LL), pp. 1112–1121.
ICMLICML-2019-ChuL #named #summary
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization (EC, PJL), pp. 1223–1232.
ICMLICML-2019-ColasOSFC #composition #learning #motivation #named
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning (CC, PYO, OS, PF, MC), pp. 1331–1340.
ICMLICML-2019-DasGRBPRP #communication #named
TarMAC: Targeted Multi-Agent Communication (AD, TG, JR, DB, DP, MR, JP), pp. 1538–1546.
ICMLICML-2019-DereliOG #algorithm #analysis #biology #kernel #learning
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology (OD, CO, MG), pp. 1576–1585.
ICMLICML-2019-DoanMR #analysis #approximate #distributed #finite #learning #linear
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning (TTD, STM, JR), pp. 1626–1635.
ICMLICML-2019-FanZ
Multi-Frequency Vector Diffusion Maps (YF, ZZ), pp. 1843–1852.
ICMLICML-2019-Feige #invariant #learning #representation
Invariant-Equivariant Representation Learning for Multi-Class Data (IF), pp. 1882–1891.
ICMLICML-2019-FeldmanFH #reuse #testing
The advantages of multiple classes for reducing overfitting from test set reuse (VF, RF, MH), pp. 1892–1900.
ICMLICML-2019-FeraudAL #distributed
Decentralized Exploration in Multi-Armed Bandits (RF, RA, RL), pp. 1901–1909.
ICMLICML-2019-FoersterSHBDWBB #learning
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning (JNF, HFS, EH, NB, ID, SW, MB, MB), pp. 1942–1951.
ICMLICML-2019-FreirichSMT #evaluation #policy
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN (DF, TS, RM, AT), pp. 1983–1992.
ICMLICML-2019-GaoZ
Multi-Frequency Phase Synchronization (TG, ZZ), pp. 2132–2141.
ICMLICML-2019-GreenfeldGBYK #learning
Learning to Optimize Multigrid PDE Solvers (DG, MG, RB, IY, RK), pp. 2415–2423.
ICMLICML-2019-GreffKKWBZMBL #learning #representation
Multi-Object Representation Learning with Iterative Variational Inference (KG, RLK, RK, NW, CB, DZ, LM, MB, AL), pp. 2424–2433.
ICMLICML-2019-GuY #algorithm #modelling #performance #ranking
Fast Algorithm for Generalized Multinomial Models with Ranking Data (JG, GY), pp. 2445–2453.
ICMLICML-2019-HanSDXWSLZ #game studies #learning #video
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI (LH, PS, YD, JX, QW, XS, HL, TZ), pp. 2576–2585.
ICMLICML-2019-HoangHLK #black box
Collective Model Fusion for Multiple Black-Box Experts (QMH, TNH, BKHL, CK), pp. 2742–2750.
ICMLICML-2019-HuangCH #optimisation #performance #probability
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization (FH, SC, HH), pp. 2839–2848.
ICMLICML-2019-IqbalS #learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning (SI, FS), pp. 2961–2970.
ICMLICML-2019-JaquesLHGOSLF #learning #motivation #social
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning (NJ, AL, EH, ÇG, PAO, DS, JZL, NdF), pp. 3040–3049.
ICMLICML-2019-KimP #algorithm
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model (GSK, MCP), pp. 3389–3397.
ICMLICML-2019-KleimanP #machine learning #metric #modelling #named #performance
AUCμ: A Performance Metric for Multi-Class Machine Learning Models (RK, DP), pp. 3439–3447.
ICMLICML-2019-KvetonSVWLG
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits (BK, CS, SV, ZW, TL, MG), pp. 3601–3610.
ICMLICML-2019-LawrenceEC #dependence #learning #named #parametricity
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures (ARL, CHE, NDFC), pp. 3682–3691.
ICMLICML-2019-LiuS #learning
Sparse Extreme Multi-label Learning with Oracle Property (WL, XS0), pp. 4032–4041.
ICMLICML-2019-MahloujifarMM #learning
Data Poisoning Attacks in Multi-Party Learning (SM, MM, AM), pp. 4274–4283.
ICMLICML-2019-NamKMPSF #classification #learning #permutation
Learning Context-dependent Label Permutations for Multi-label Classification (JN, YBK, ELM, SP, RS, JF), pp. 4733–4742.
ICMLICML-2019-NguyenLKB #detection #predict
Anomaly Detection With Multiple-Hypotheses Predictions (DTN, ZL, MK, TB), pp. 4800–4809.
ICMLICML-2019-PanageasPW #algorithm #convergence #distributed #higher-order #optimisation
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always (IP, GP, XW), pp. 4961–4969.
ICMLICML-2019-PapiniMLR #optimisation #policy
Optimistic Policy Optimization via Multiple Importance Sampling (MP, AMM, LL, MR), pp. 4989–4999.
ICMLICML-2019-SafaviB #graph
Tractable n-Metrics for Multiple Graphs (SS, JB), pp. 5568–5578.
ICMLICML-2019-SantiagoS #optimisation
Multivariate Submodular Optimization (RS, FBS), pp. 5599–5609.
ICMLICML-2019-Shi0 #learning #performance
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning (WS, QY0), pp. 5769–5778.
ICMLICML-2019-SonKKHY #learning #named
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning (KS, DK, WJK, DH, YY), pp. 5887–5896.
ICMLICML-2019-SotoLF #3d #distributed #matrix #polynomial
Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication (PS, JL, XF), pp. 5937–5945.
ICMLICML-2019-Stickland0 #adaptation #learning #performance
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (ACS, IM0), pp. 5986–5995.
ICMLICML-2019-TirinzoniSR #policy
Transfer of Samples in Policy Search via Multiple Importance Sampling (AT, MS, MR), pp. 6264–6274.
ICMLICML-2019-TongC
Discovering Latent Covariance Structures for Multiple Time Series (AT, JC), pp. 6285–6294.
ICMLICML-2019-WuLZ #optimisation #reuse
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin (XZW, SL, ZHZ), pp. 6840–6849.
ICMLICML-2019-YuSE #learning
Multi-Agent Adversarial Inverse Reinforcement Learning (LY, JS, SE), pp. 7194–7201.
ICMLICML-2019-ZhangY #estimation #modelling #performance
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models (CZ, GY), pp. 7463–7471.
ICMLICML-2019-ZhangZT #adaptation #monte carlo #testing
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits (MJZ, JZ, DT), pp. 7512–7522.
ICMLICML-2019-ZhaoST #learning
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (RZ, XS0, VT), pp. 7553–7562.
KDDKDD-2019-CenZZYZ0 #learning #network #representation
Representation Learning for Attributed Multiplex Heterogeneous Network (YC, XZ, JZ, HY, JZ, JT0), pp. 1358–1368.
KDDKDD-2019-ChenTYZC #approach #data-driven #industrial #problem
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry (LC0, XT, MY, JZ, LC0), pp. 1762–1770.
KDDKDD-2019-FanZPLZYWWPH #learning
Multi-Horizon Time Series Forecasting with Temporal Attention Learning (CF, YZ, YP, XL, CZ0, RY, DW, WW, JP, HH), pp. 2527–2535.
KDDKDD-2019-FeiTL #learning #predict #word
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction (HF, ST, PL0), pp. 834–842.
KDDKDD-2019-FoucheKB #algorithm #scalability
Scaling Multi-Armed Bandit Algorithms (EF, JK, KB), pp. 1449–1459.
KDDKDD-2019-GuoHJZW0 #behaviour #network #predict #realtime #using
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior (LG, LH, RJ, BZ, XW, BC0), pp. 1984–1992.
KDDKDD-2019-HeXZMZY #learning
Off-policy Learning for Multiple Loggers (LH, LX, WZ, ZMM, YZ, DY), pp. 1184–1193.
KDDKDD-2019-HuangWZZZYC #behaviour #modelling #online #predict
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics (CH0, XW, XZ, CZ, JZ, DY, NVC), pp. 2613–2622.
KDDKDD-2019-KitadaIS #effectiveness #network #predict #using
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives (SK, HI, YS), pp. 2069–2077.
KDDKDD-2019-KlyuchnikovMKMK
Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging (NK, DM, GK, EM, PK), pp. 686–695.
KDDKDD-2019-LambaS #modelling #visual notation
Modeling Dwell Time Engagement on Visual Multimedia (HL, NS), pp. 1104–1113.
KDDKDD-2019-Li0WGYK #adaptation #kernel #learning #predict
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points (ZL, JZ0, QW0, YG, JY, CK), pp. 2848–2856.
KDDKDD-2019-Lin #classification #roadmap
Advances in Cost-sensitive Multiclass and Multilabel Classification (HTL), pp. 3187–3188.
KDDKDD-2019-LiST #classification #higher-order #markov #network #predict #random
Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification (CL, DS, DT), pp. 1141–1151.
KDDKDD-2019-LiuA #adaptation #locality #statistics
A Multiscale Scan Statistic for Adaptive Submatrix Localization (YL, EAC), pp. 44–53.
KDDKDD-2019-LiuFWWBL #automation #learning
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning (KL, YF, PW, LW, RB, XL), pp. 207–215.
KDDKDD-2019-LiuTZLDX #named #personalisation #recommendation
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System (HL, YT, PZ, XL, JD, HX), pp. 2314–2324.
KDDKDD-2019-NieWL #clustering #named
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters (FN, CLW, XL), pp. 959–967.
KDDKDD-2019-PanMRSF #learning #online #predict
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising (JP, YM, ALR, YS, AF), pp. 2689–2697.
KDDKDD-2019-RashedGS #classification
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings (AR, JG, LST), pp. 1132–1140.
KDDKDD-2019-RawatLY #learning #using
Naranjo Question Answering using End-to-End Multi-task Learning Model (BPSR, FL, HY0), pp. 2547–2555.
KDDKDD-2019-SpathisRFMR #learning #self #sequence
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data (DS, SSR, KF, CM, JR), pp. 2886–2894.
KDDKDD-2019-SuZNLSP #detection #network #probability #robust
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (YS, YZ, CN, RL, WS, DP), pp. 2828–2837.
KDDKDD-2019-TangQZWXMZY #approach #order
A Deep Value-network Based Approach for Multi-Driver Order Dispatching (XT, Z(Q, FZ, ZW, ZX, YM, HZ, JY), pp. 1780–1790.
KDDKDD-2019-TangXWZL #learning
Retaining Privileged Information for Multi-Task Learning (FT, CX, FW, JZ, LWHL), pp. 1369–1377.
KDDKDD-2019-TaoLZZWFC #detection #game studies #named #network #online
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games (JT, JL, SZ, SZ, RW, CF, PC), pp. 2536–2546.
KDDKDD-2019-TariqLSLJCW #detection #probability #using
Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA (ST, SL, YS, MSL, OJ, DC, SSW), pp. 2123–2133.
KDDKDD-2019-WangXLLCDWS #framework #learning #named #network #social
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network (HW, TX, QL0, DL, EC, DD, HW, WS), pp. 1064–1072.
KDDKDD-2019-XuTZ #kernel #learning
Isolation Set-Kernel and Its Application to Multi-Instance Learning (BCX, KMT, ZHZ), pp. 941–949.
KDDKDD-2019-YangLWWTXG #optimisation
Bid Optimization by Multivariable Control in Display Advertising (XY, YL, HW, DW, QT, JX, KG), pp. 1966–1974.
KDDKDD-2019-YaoCC #clustering #learning #robust
Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning (YY, JC0, HC), pp. 1408–1417.
KDDKDD-2019-YelundurCM #composition #detection #overview
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition (ARY, VC, BM), pp. 2134–2144.
KDDKDD-2019-YeSDFTX #network #predict
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network (JY, LS, BD, YF, XT, HX), pp. 305–313.
KDDKDD-2019-ZhangTKLCC #axiom #modelling
Axiomatic Interpretability for Multiclass Additive Models (XZ, ST, PK, YL, UC, RC), pp. 226–234.
KDDKDD-2019-ZhaoDSZLX #learning #network #relational
Multiple Relational Attention Network for Multi-task Learning (JZ, BD, LS, FZ, WL, HX), pp. 1123–1131.
KDDKDD-2019-ZhaoZWGGQNCL #learning #personalisation
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning (WZ0, BZ, BW, ZG, WG, GQ, WN, JC, HL), pp. 2632–2642.
KDDKDD-2019-ZhuangL #named
PinText: A Multitask Text Embedding System in Pinterest (JZ, YL), pp. 2653–2661.
BXBX-2019-JohnsonRo #lens
Multicategories of Multiary Lenses (MJ, RDR), pp. 30–44.
MoDELSMoDELS-2019-BucchiaroneCM19a #design #modelling
Exploiting Multi-level Modelling for Designing and Deploying Gameful Systems (AB, AC, AM), pp. 34–44.
ECOOPECOOP-2019-LopezSMBS #debugging #idea #nondeterminism #source code
Multiverse Debugging: Non-Deterministic Debugging for Non-Deterministic Programs (Brave New Idea Paper) (CTL, RGS, SM, EGB, CS), p. 30.
ECOOPECOOP-2019-VillazonSRRBDOB #automation #program analysis #scalability
Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Tool Insights Paper) (AV, HS, AR, ER, DB, ID, SO, WB), p. 27.
ECOOPECOOP-2019-WeisenburgerS
Multitier Modules (PW, GS), p. 29.
PLDIPLDI-2019-TonderG #combinator #lightweight #parsing #syntax
Lightweight multi-language syntax transformation with parser parser combinators (RvT, CLG), pp. 363–378.
POPLPOPL-2019-ParkerVH #data flow #named #security #web
LWeb: information flow security for multi-tier web applications (JP, NV, MH0), p. 30.
POPLPOPL-2019-ParkHSR #polymorphism #symmetry
Polymorphic symmetric multiple dispatch with variance (GP, JH, GLSJ, SR), p. 28.
POPLPOPL-2019-ScalasY #less is more #revisited
Less is more: multiparty session types revisited (AS, NY), p. 29.
SASSAS-2019-Ben-AmramDG #ranking #set
Multiphase-Linear Ranking Functions and Their Relation to Recurrent Sets (AMBA, JJD, SG), pp. 459–480.
ASEASE-2019-FischerTP #concurrent #source code #thread
VeriSmart 2.0: Swarm-Based Bug-Finding for Multi-threaded Programs with Lazy-CSeq (BF, SLT, GP), pp. 1150–1153.
ASEASE-2019-PobeeMC #concurrent #performance #source code #thread #transaction
Efficient Transaction-Based Deterministic Replay for Multi-threaded Programs (EBP, XM, WKC), pp. 760–771.
ASEASE-2019-Ramamoorthy #game studies #using
User Preference Aware Multimedia Pricing Model using Game Theory and Prospect Theory for Wireless Communications (KMKR), pp. 1265–1267.
ASEASE-2019-WanSSXZ0Y #learning #network #retrieval #semantics #source code
Multi-modal Attention Network Learning for Semantic Source Code Retrieval (YW, JS, YS, GX, ZZ, JW0, PSY), pp. 13–25.
ESEC-FSEESEC-FSE-2019-ChenMF #specification #synthesis
Maximal multi-layer specification synthesis (YC, RM, YF), pp. 602–612.
ESEC-FSEESEC-FSE-2019-CorreiaASN #named #testing #using
MOTSD: a multi-objective test selection tool using test suite diagnosability (DC, RA, PS, JN), pp. 1070–1074.
ESEC-FSEESEC-FSE-2019-PobeeC #concurrent #named #performance #source code #thread
AggrePlay: efficient record and replay of multi-threaded programs (EBP, WKC), pp. 567–577.
ESEC-FSEESEC-FSE-2019-Tan #kernel #linux #maintenance
Reducing the workload of the Linux kernel maintainers: multiple-committer model (XT), pp. 1205–1207.
ICSE-2019-CuiLCZFJGQ #dependence #fault
Investigating the impact of multiple dependency structures on software defects (DC, TL0, YC, QZ, QF, WJ, JG, YQ), pp. 584–595.
ICSE-2019-LazregCCH0 #analysis #automation #embedded #variability
Multifaceted automated analyses for variability-intensive embedded systems (SL, MC, PC, PH, SM0), pp. 854–865.
ICSE-2019-SahaSP #evolution #program repair
Harnessing evolution for multi-hunk program repair (SS, RKS, MRP), pp. 13–24.
SLESLE-2019-GPMBB #specification
High-level mission specification for multiple robots (SG, PP, CM, TB, TB), pp. 127–140.
SLESLE-2019-ScottJ #java
Multiple lexicalisation (a Java based study) (ES, AJ), pp. 71–82.
ASPLOSASPLOS-2019-ChenDM #clustering #interactive #named
PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services (SC, CD, JFM), pp. 107–120.
ASPLOSASPLOS-2019-KimMKRM #named #scalability
MV-RLU: Scaling Read-Log-Update with Multi-Versioning (JK, AM, SK, MKR, CM), pp. 779–792.
ASPLOSASPLOS-2019-MerrifieldRDE #lazy evaluation #performance #thread
Lazy Determinism for Faster Deterministic Multithreading (TM, SR, JD, JE), pp. 879–891.
ASPLOSASPLOS-2019-OsterlundKOBBG #detection #execution #kernel #named
kMVX: Detecting Kernel Information Leaks with Multi-variant Execution (, KK, PO, AB, HB, CG), pp. 559–572.
ASPLOSASPLOS-2019-PinaA0C #execution #named
MVEDSUA: Higher Availability Dynamic Software Updates via Multi-Version Execution (LP, AA, MH0, CC), pp. 573–585.
ASPLOSASPLOS-2019-RenZYLXQLW #co-evolution #design #framework #named #using
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers (AR, TZ, SY, JL, WX, XQ, XL, YW), pp. 925–938.
ASPLOSASPLOS-2019-ZhangL0HLG #graph #named #performance
DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs (YZ0, XL, HJ0, BH, HL, LG0), pp. 601–614.
CASECASE-2019-AhlbergD #logic #metric #synthesis
Human-in-the-Loop Control Synthesis for Multi-Agent Systems under Hard and Soft Metric Interval Temporal Logic Specifications* (SA, DVD), pp. 788–793.
CASECASE-2019-Barhebwa-Mushamuka #optimisation #scheduling #throughput
Multi-objective optimization for Work-In-Process balancing and throughput maximization in global fab scheduling (FBM, SDP, CY), pp. 697–702.
CASECASE-2019-DaiGLY #energy #policy #robust #scheduling
A Time-domain Decoupling Policy for Multi-stage Robust Scheduling in a Corporate Energy System with V2G* (SD, FG, KL, LY), pp. 972–978.
CASECASE-2019-DaiYM #effectiveness
Multi-Robot Work Assignment Methods for Effectiveness Improvement of Deploying Service Robots (JD, HY, TM), pp. 1224–1229.
CASECASE-2019-DongKDBDG #automation #linear
Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts (ZD, SK, SD, AB, MD, KG), pp. 1429–1436.
CASECASE-2019-EdmondsYSW #generative
Generation of High-Density Hyperspectral Point Clouds of Crops with Robotic Multi-Camera Planning (ME, JY, NKS, LMW), pp. 1475–1480.
CASECASE-2019-FoxBSG #automation #learning
Multi-Task Hierarchical Imitation Learning for Home Automation (RF, RB, IS, KG), pp. 1–8.
CASECASE-2019-FujitaDKRKSHAFA #using
Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness (MF, YD, RK, GAGR, KK, KS, RH, RA, HF, SA, MH, AJC, AN, HO, TO), pp. 1540–1547.
CASECASE-2019-GunawanYWV #problem
Simulated Annealing for the Multi-Vehicle Cyclic Inventory Routing Problem (AG, VFY, ATW, PV), pp. 691–696.
CASECASE-2019-HerguedasLS
Multi-camera coverage of deformable contour shapes (RH, GLN, CS), pp. 1597–1602.
CASECASE-2019-HoangPDZH #configuration management #using
Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO (VTH, MDP, THD, QZ, QPH), pp. 1670–1675.
CASECASE-2019-HuCZ #adaptation #distributed #realtime #scheduling
Adaptive Real-Time Scheduling of Dynamic Multiple-Criticality Applications on Heterogeneous Distributed Computing Systems (BH, ZC, LZ), pp. 897–903.
CASECASE-2019-JiangW
Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model (LJ, YW), pp. 936–941.
CASECASE-2019-LiWXLGL #design #optimisation #robust
Conditional Value at Riskbased Multidisciplinary Robust Design Optimization (WL, TW, MX, ML, LG, CL), pp. 30–35.
CASECASE-2019-LuoLLWG #optimisation #problem #scheduling #using
Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm* (YL, CL, XL, LW, LG0), pp. 573–578.
CASECASE-2019-MaggipintoSZM #case study #fault #predict #process #what
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction (MM, GAS, FZ, SFM), pp. 1796–1801.
CASECASE-2019-MuthukumaranSE #hybrid #navigation
A Hybrid Control Strategy for Autonomous Navigation while Avoiding Multiple Obstacles at Unknown Locations (VM, RGS, GHE), pp. 1042–1047.
CASECASE-2019-PangXHP #modelling #optimisation #using
optimizing outpatient Department Staffing Level using Multi-Fidelity Models (BP, XX, BH, YP), pp. 715–720.
CASECASE-2019-PengZZZ #analysis #component #detection #fault #kernel #markov #process
Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection (PP, JZ, YZ, HZ), pp. 1586–1591.
CASECASE-2019-RazaL #approach #learning #policy
Constructive Policy: Reinforcement Learning Approach for Connected Multi-Agent Systems (SJAR, ML), pp. 257–262.
CASECASE-2019-SartoriZY #3d #approach #design #performance
An efficient approach to near-optimal 3D trajectory design in cluttered environments for multirotor UAVs (DS, DZ, WY), pp. 1016–1022.
CASECASE-2019-TallamrajuSRAKS
Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems (RT, DHS, SR, AA, KK, SVS), pp. 1469–1474.
CASECASE-2019-TsayL #automation #network #visual notation
Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks (CT, ZL), pp. 1802–1807.
CASECASE-2019-WangS
Multi-level Lot-streaming Production Planning with the Objective of Workload Balancing (WW, LS), pp. 685–690.
CASECASE-2019-WuMDXTIC #2d #automation #detection #estimation
Multi-Mosquito Object Detection and 2D Pose Estimation for Automation of PfSPZ Malaria Vaccine Production (HW, JM, TD, MX, RHT, II, GSC), pp. 411–417.
CASECASE-2019-XingQ0 #algorithm #energy #hybrid #scheduling
A Hybrid Multi-objective Algorithm for Energy-Efficient Scheduling Considering Machine Maintenance* (JX, FQ, HL0), pp. 115–120.
CASECASE-2019-YangSZSWHP #validation
Multiphysics Dynamic Model Validation Methodology for Laser-Driven Microrobots (ZY, MNS, RZ, AS, DW, CKH, DOP), pp. 1555–1561.
CASECASE-2019-YangWLZ #algorithm #scheduling
A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System (ZY, XW, CL, QZ), pp. 745–750.
CGOCGO-2019-Castro-LopezL #compilation #deployment #machine learning #modelling
Multi-target Compiler for the Deployment of Machine Learning Models (OCL, IFVL), pp. 280–281.
ESOPESOP-2019-BuroM #on the
On the Multi-Language Construction (SB, IM), pp. 293–321.
CAVCAV-2019-DavisHK #fault #formal method #protocol #proving #using
When Human Intuition Fails: Using Formal Methods to Find an Error in the “Proof” of a Multi-agent Protocol (JAD, LRH, DBK), pp. 366–375.
CAVCAV-2019-ZhangHA #hybrid
Multi-armed Bandits for Boolean Connectives in Hybrid System Falsification (ZZ, IH, PA), pp. 401–420.
ICTSSICTSS-2019-TimoPR #finite #mutation testing #state machine #testing
Multiple Mutation Testing for Timed Finite State Machine with Timed Guards and Timeouts (ONT, DP, AR), pp. 104–120.
ECSAECSA-2018-Plakidas0Z #architecture #case study #evolution #industrial #migration #platform
Software Migration and Architecture Evolution with Industrial Platforms: A Multi-case Study (KP, DS0, UZ), pp. 336–343.
ECSAECSA-2018-WuCKMLCGLZ #architecture #case study #experience #metric
Software Architecture Measurement - Experiences from a Multinational Company (WW, YC, RK, RM, ZL, RC, YG, WL, JZ), pp. 303–319.
ICSAICSA-2018-ArcelliCDP #approach #architecture #named #refactoring
EASIER: An Evolutionary Approach for Multi-objective Software ArchItecturE Refactoring (DA, VC, MD, DDP), pp. 105–114.
ICSAICSA-2018-SzvetitsZ #analysis #architecture #design #modelling #runtime
Architectural Design Decisions for Systems Supporting Model-Based Analysis of Runtime Events: A Qualitative Multi-method Study (MS, UZ), pp. 115–124.
JCDLJCDL-2018-Benotman0 #diagrams #navigation
Extending Multiple Diagram Navigation with Internal Diagram and Collection Connections (HB, DM0), pp. 141–144.
JCDLJCDL-2018-FerroSBDFGJJLMM #consistency #documentation #evaluation
Evaluation of Conformance Checkers for Long-Term Preservation of Multimedia Documents (NF, GS, EB, BD, AF, MG, KJ, BJ, BL, JM, VM, SO, CP, DR, SRE, XT, EV, BY, CW), pp. 145–154.
EDMEDM-2018-EstebanGR #algorithm #approach #hybrid #recommendation #search-based #student #using
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students (AE, AZG, CR).
EDMEDM-2018-KoedingerSS #question #robust #set
Is the Doer Effect Robust Across Multiple Data Sets? (KRK, RS, PS).
EDMEDM-2018-MittalNSDDK #knowledge base #using
Using a Common Sense Knowledge Base to Auto Generate Multi-Dimensional Vocabulary Assessments (RSM, SN, MS, UD, PD, RK).
EDMEDM-2018-ReillyRS #collaboration #learning #using
Exploring Collaboration Using Motion Sensors and Multi-Modal Learning Analytics (JMR, MR, BS).
EDMEDM-2018-SinghSCD #behaviour #learning #modelling #student
Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning (HS, SKS, RC, PD).
ICSMEICSME-2018-AlmeidaKTFL #case study #technical debt
Aligning Technical Debt Prioritization with Business Objectives: A Multiple-Case Study (RRdA, UK, CT, DCF, AHGL), pp. 655–664.
ICSMEICSME-2018-SchlieSS #analysis #matlab #matrix #modelling #using
Comparing Multiple MATLAB/Simulink Models Using Static Connectivity Matrix Analysis (AS, SS, IS), pp. 160–171.
ICSMEICSME-2018-WangMZ #debugging #empirical
An Empirical Study of Multi-entity Changes in Real Bug Fixes (YW, NM, HZ), pp. 287–298.
ICSMEICSME-2018-ZhangCGZXJX #case study #git #how
How do Multiple Pull Requests Change the Same Code: A Study of Competing Pull Requests in GitHub (XZ, YC, YG, WZ, XX, XJ, JX), pp. 228–239.
MSRMSR-2018-XuZ #dataset #kernel #linux
A multi-level dataset of linux kernel patchwork (YX, MZ), pp. 54–57.
SANERSANER-2018-JolakLSC #concurrent #interactive #modelling #named #uml #visualisation
OctoBubbles: A Multi-view interactive environment for concurrent visualization and synchronization of UML models and code (RJ, KDL, KBS, MRVC), pp. 482–486.
CIAACIAA-2018-DeBenedettoC #algorithm #automaton #regular expression
Algorithms and Training for Weighted Multiset Automata and Regular Expressions (JD, DC0), pp. 146–158.
FMFM-2018-MenghiGPT #ltl #nondeterminism
Multi-robot LTL Planning Under Uncertainty (CM, SG0, PP, JT), pp. 399–417.
FMFM-2018-RuchkinSISG #cyber-physical #integration #named
IPL: An Integration Property Language for Multi-model Cyber-physical Systems (IR, JS, GI, BRS, DG), pp. 165–184.
FMFM-2018-YanZZLYH #design #reliability #resource management
Resource-Aware Design for Reliable Autonomous Applications with Multiple Periods (RY, DZ, FZ, YL, JY, KH0), pp. 294–311.
SEFMSEFM-2018-SchuppA #analysis #concurrent #hybrid #safety #thread
Spread the Work: Multi-threaded Safety Analysis for Hybrid Systems (SS, ), pp. 89–104.
AIIDEAIIDE-2018-BeaupreWBS #approach #design pattern #generative
A Design Pattern Approach for Multi-Game Level Generation (SB, TW, SB, GS), pp. 145–151.
AIIDEAIIDE-2018-MoraesMLN #abstraction #combinator
Action Abstractions for Combinatorial Multi-Armed Bandit Tree Search (ROM, JRHM, LHSL, MAN), pp. 74–80.
CoGCIG-2018-BaierC #game studies
Evolutionary MCTS for Multi-Action Adversarial Games (HB, PIC), pp. 1–8.
CoGCIG-2018-ChristiansenNG #framework
Multi-Parameterised Matchmaking: A Framework (AHC, BFN, EG), pp. 1–4.
CoGCIG-2018-DubeyGLL #optimisation #realtime
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro (RD, JG, SJL, SL0), pp. 1–8.
CoGCIG-2018-SigurdsonB0HK #heuristic #realtime
Multi-Agent Pathfinding with Real-Time Heuristic Search (DS, VB, WY0, CH, SK), pp. 1–8.
FDGFDG-2018-BichoM #generative #modelling
Multi-dimensional player skill progression modelling for procedural content generation (FB, CM), p. 10.
FDGFDG-2018-FarlowT #game studies #heuristic #online
Periodic load balancing heuristics in massively multiplayer online games (SF, JLT), p. 10.
FDGFDG-2018-PlumbKS #clustering #game studies #hybrid #network #online #using
Hybrid network clusters using common gameplay for massively multiplayer online games (JNP, SKK, RS), p. 10.
FDGFDG-2018-RingerN #detection #game studies #video
Deep unsupervised multi-view detection of video game stream highlights (CR, MAN), p. 6.
CoGVS-Games-2018-BroadheadDMB #3d #framework
A Multisensory 3D Environment as Intervention to Aid Reading in Dyslexia: A Proposed Framework (MB, DDZ, LMM, LB), pp. 1–4.
CoGVS-Games-2018-MunozGCBG #game studies #physics
Measured and Perceived Physical Responses in Multidimensional Fitness Training through Exergames in Older Adults (JEMC, ARG, MSC, SBiB, ERG), pp. 1–4.
CoGVS-Games-2018-Perez-ColadoRFM #game studies #learning
Multi-Level Game Learning Analytics for Serious Games (IJPC, DCR, MFM, IMO, BFM), pp. 1–4.
CoGVS-Games-2018-SpyridonisDO #collaboration #communication #game studies #online #performance
Efficient In-Game Communication in Collaborative Online Multiplayer Games (FS, DDZ, MPO), pp. 1–4.
CoGVS-Games-2018-WuGHL #3d #data fusion #robust #towards #using
Towards Robust 3D Skeleton Tracking Using Data Fusion from Multiple Depth Sensors (YW, LG, SH, RWL), pp. 1–4.
CIKMCIKM-2018-0013H #consistency #interactive #learning #modelling
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity (XL0, JH), pp. 853–861.
CIKMCIKM-2018-AbelKPFK0AE #named
SOURCERY: User Driven Multi-Criteria Source Selection (EA, JAK, NWP, AAAF, MK, NK0, NAA, SME), pp. 1947–1950.
CIKMCIKM-2018-BuyukcakirBC #classification #novel #online
A Novel Online Stacked Ensemble for Multi-Label Stream Classification (AB, HRB, FC), pp. 1063–1072.
CIKMCIKM-2018-CirsteaMMG0 #correlation #network #using
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks (RGC, DVM, GMM, CG, BY0), pp. 1527–1530.
CIKMCIKM-2018-HuL #collaboration #ranking
Collaborative Multi-objective Ranking (JH, PL0), pp. 1363–1372.
CIKMCIKM-2018-JinSLGWZ #learning #realtime
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising (JJ, CS, HL, KG, JW0, WZ0), pp. 2193–2201.
CIKMCIKM-2018-KangFYXCT #named #network #ranking
X-Rank: Explainable Ranking in Complex Multi-Layered Networks (JK, SF, HY, YX, NC, HT), pp. 1959–1962.
CIKMCIKM-2018-KatoMFNY #challenge #comparison #lessons learnt
Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task (MPK, TM, SF, AN, TY), pp. 1515–1518.
CIKMCIKM-2018-LeL #graph #similarity
Multiperspective Graph-Theoretic Similarity Measure (DDL, HWL), pp. 1223–1232.
CIKMCIKM-2018-LiLAL #industrial #named #scalability
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU (HL0, KL, JyA, KL0), pp. 1113–1122.
CIKMCIKM-2018-LuHC #challenge #database
Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges (JL, IH, BC), pp. 2301–2302.
CIKMCIKM-2018-NidzwetzkiG #big data #scalability
BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data (JKN, RHG), pp. 1867–1870.
CIKMCIKM-2018-NimishakaviMGT #framework #induction #streaming
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information (MN, BM, MG, PPT), pp. 307–316.
CIKMCIKM-2018-NishidaSOAT #comprehension #information retrieval #learning #named
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension (KN, IS, AO, HA, JT), pp. 647–656.
CIKMCIKM-2018-OhSL #graph #learning
Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods (BO, SS, KHL), pp. 257–266.
CIKMCIKM-2018-PalottiZH #evaluation #framework #named
MM: A new Framework for Multidimensional Evaluation of Search Engines (JRMP, GZ, AH), pp. 1699–1702.
CIKMCIKM-2018-PapalexakisP #framework #named
tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data (EEP, KP), pp. 2223–2232.
CIKMCIKM-2018-RenFZLLZYW #learning #online
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising (KR, YF, WZ0, SL, JL, YZ, YY0, JW0), pp. 1433–1442.
CIKMCIKM-2018-ShenKBQM #clustering #email #learning #query #ranking
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering (JS, MK, MB, ZQ, DM), pp. 2127–2135.
CIKMCIKM-2018-Soboroff #retrieval
Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections (IS), pp. 713–722.
CIKMCIKM-2018-SunJSPOW #network #pointer #summary
Multi-Source Pointer Network for Product Title Summarization (FS, PJ, HS, CP, WO, XW), pp. 7–16.
CIKMCIKM-2018-Wang00 #semantics
Deep Semantic Hashing with Multi-Adversarial Training (BW, KL0, JZ0), pp. 1453–1462.
CIKMCIKM-2018-WangM #classification #sentiment
Multi-Emotion Category Improving Embedding for Sentiment Classification (SW, XM0), pp. 1719–1722.
CIKMCIKM-2018-WangSZWL #detection
Multi-View Group Anomaly Detection (HW, PS, MZ, HW, GL), pp. 277–286.
CIKMCIKM-2018-WuWL #classification #learning #sentiment
Imbalanced Sentiment Classification with Multi-Task Learning (FW, CW, JL), pp. 1631–1634.
CIKMCIKM-2018-XiaJSZWS #learning #modelling #recommendation
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning (QX, PJ, FS, YZ, XW, ZS), pp. 1703–1706.
CIKMCIKM-2018-Xu0AWR #consistency #feature model
Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency (YX, JW0, SA, JW, JR), pp. 783–792.
CIKMCIKM-2018-XuLHLXYW #corpus #named #type system
METIC: Multi-Instance Entity Typing from Corpus (BX, ZL, LH, BL, YX, DY, WW0), pp. 903–912.
CIKMCIKM-2018-YangS #learning #named #performance
FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning (SY, XS), pp. 67–76.
CIKMCIKM-2018-YuTCY #modelling
Modeling Multi-way Relations with Hypergraph Embedding (CAY, CLT, TSC, YHY), pp. 1707–1710.
CIKMCIKM-2018-YuZYWW0C #feedback #ranking
Multiple Pairwise Ranking with Implicit Feedback (RY, YZ, YY, LW, CW, QL0, EC), pp. 1727–1730.
CIKMCIKM-2018-ZhangLMT #estimation
Relevance Estimation with Multiple Information Sources on Search Engine Result Pages (JZ, YL, SM, QT), pp. 627–636.
CIKMCIKM-2018-ZhangLNLX #graph #network
Multiresolution Graph Attention Networks for Relevance Matching (TZ, BL, DN, KL, YX), pp. 933–942.
CIKMCIKM-2018-ZhangZNWH #knowledge base #named
MultiE: Multi-Task Embedding for Knowledge Base Completion (ZZ, FZ, ZYN, DW, QH), pp. 1715–1718.
CIKMCIKM-2018-ZhongS0 #automation #detection #privacy #towards
Toward Automated Multiparty Privacy Conflict Detection (HZ, ACS, DJM0), pp. 1811–1814.
CIKMCIKM-2018-ZhuVGL #clustering #image
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering (XZ, KDV, JG, JL), pp. 1723–1726.
ECIRECIR-2018-00010VPRP #learning #twitter
Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets (SG0, MG0, VV, SP, NR, GKP), pp. 59–71.
ECIRECIR-2018-AgrawalA #detection #learning #platform #social #social media
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (SA, AA), pp. 141–153.
ECIRECIR-2018-HaugGG #reasoning
Neural Multi-step Reasoning for Question Answering on Semi-structured Tables (TH, OEG, PG), pp. 611–617.
ECIRECIR-2018-NiculaRR #learning
Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts (BN, SR, TR), pp. 678–683.
ECIRECIR-2018-SuFMMO #classification #on the #twitter
On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification (TS, AF, RM, CM, IO), pp. 765–772.
ICMLICML-2018-BargiacchiVRNH #coordination #graph #learning #problem
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems (EB, TV, DMR, AN, HvH), pp. 491–499.
ICMLICML-2018-BoracchiCCM #data type #detection #named
QuantTree: Histograms for Change Detection in Multivariate Data Streams (GB, DC, CC, DM), pp. 638–647.
ICMLICML-2018-BravermanCKLWY #data type #matrix #performance
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order (VB, SRC, RK, YL0, DPW, LFY), pp. 648–657.
ICMLICML-2018-ChenBLR #adaptation #named #network #normalisation
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks (ZC0, VB, CYL, AR), pp. 793–802.
ICMLICML-2018-ChenXG #learning
End-to-End Learning for the Deep Multivariate Probit Model (DC, YX, CPG), pp. 931–940.
ICMLICML-2018-ChePLJL #generative #modelling
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series (ZC, SP, MGL, BJ, YL0), pp. 783–792.
ICMLICML-2018-Chierichetti0T #learning
Learning a Mixture of Two Multinomial Logits (FC, RK0, AT), pp. 960–968.
ICMLICML-2018-FengWCS #learning #network #parametricity #using
Nonparametric variable importance using an augmented neural network with multi-task learning (JF, BDW, MC, NS), pp. 1495–1504.
ICMLICML-2018-GroverAGBE #learning #policy
Learning Policy Representations in Multiagent Systems (AG, MAS, JKG, YB, HE), pp. 1797–1806.
ICMLICML-2018-HanHZ #classification #estimation #problem #scalability
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem (LH, YH, TZ), pp. 1885–1894.
ICMLICML-2018-Hebert-JohnsonK #named
Multicalibration: Calibration for the (Computationally-Identifiable) Masses (ÚHJ, MPK, OR, GNR), pp. 1944–1953.
ICMLICML-2018-IlseTW #learning
Attention-based Deep Multiple Instance Learning (MI, JMT, MW), pp. 2132–2141.
ICMLICML-2018-JanzingS #detection #linear #modelling
Detecting non-causal artifacts in multivariate linear regression models (DJ, BS), pp. 2250–2258.
ICMLICML-2018-KalyanLKB #learning
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations (AK, SL, AK, DB), pp. 2454–2463.
ICMLICML-2018-LaurentB18a #network
The Multilinear Structure of ReLU Networks (TL0, JvB), pp. 2914–2922.
ICMLICML-2018-LeeYH #learning #symmetry
Deep Asymmetric Multi-task Feature Learning (HL, EY, SJH), pp. 2962–2970.
ICMLICML-2018-LinC #distributed #learning #probability
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods (JL, VC), pp. 3098–3107.
ICMLICML-2018-Lyu0YZ0 #automation #design #optimisation
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design (WL, FY0, CY, DZ, XZ0), pp. 3312–3320.
ICMLICML-2018-MeyersonM #learning #pseudo
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back (EM, RM), pp. 3508–3517.
ICMLICML-2018-OkunoHS #framework #learning #network #probability
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks (AO, TH, HS), pp. 3885–3894.
ICMLICML-2018-Pouliot #equivalence #performance #statistics
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory (GP), pp. 4130–4137.
ICMLICML-2018-PuDGWWZHC #generative #learning #named
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets (YP, SD, ZG, WW, GW0, YZ, RH, LC), pp. 4148–4157.
ICMLICML-2018-RaileanuDSF #learning #modelling #using
Modeling Others using Oneself in Multi-Agent Reinforcement Learning (RR, ED, AS, RF), pp. 4254–4263.
ICMLICML-2018-RashidSWFFW #learning #named
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning (TR, MS, CSdW, GF, JNF, SW), pp. 4292–4301.
ICMLICML-2018-SchwabKMMSK #learning
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care (PS, EK, CM, DJM, CS, WK), pp. 4525–4534.
ICMLICML-2018-SenKS #black box #optimisation
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions (RS, KK, SS), pp. 4545–4554.
ICMLICML-2018-SibliniMK #clustering #learning #performance #random
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (WS, FM, PK), pp. 4671–4680.
ICMLICML-2018-TongYAV
Adversarial Regression with Multiple Learners (LT, SY, SA, YV), pp. 4953–4961.
ICMLICML-2018-TschannenKA #learning #named
StrassenNets: Deep Learning with a Multiplication Budget (MT, AK, AA), pp. 4992–5001.
ICMLICML-2018-WangK #learning
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations (XW, DK), pp. 5130–5138.
ICMLICML-2018-WangLS #matrix
Coded Sparse Matrix Multiplication (SW, JL, NBS), pp. 5139–5147.
ICMLICML-2018-WangSQ #learning #modelling #performance #scalability #visual notation
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models (BW, AS, YQ), pp. 5148–5157.
ICMLICML-2018-WangWY
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Convariates (XW, MMW, TY), pp. 5187–5195.
ICMLICML-2018-WehrmannCB #classification #network
Hierarchical Multi-Label Classification Networks (JW, RC, RCB), pp. 5225–5234.
ICMLICML-2018-XiBG
Bayesian Quadrature for Multiple Related Integrals (XX, FXB, MAG), pp. 5369–5378.
ICMLICML-2018-YangLLZZW #learning
Mean Field Multi-Agent Reinforcement Learning (YY, RL, ML, MZ, WZ0, JW0), pp. 5567–5576.
ICMLICML-2018-YoonJS18a #dataset #generative #modelling #named #network #predict #using
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks (JY, JJ, MvdS), pp. 5685–5693.
ICMLICML-2018-ZhangDG #induction #matrix #performance
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow (XZ, SSD, QG), pp. 5751–5760.
ICMLICML-2018-ZhangYL0B #distributed #learning
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents (KZ, ZY, HL0, TZ0, TB), pp. 5867–5876.
ICPRICPR-2018-AntensteinerSP #3d #framework #precise
Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework (DA, SS, TP), pp. 1036–1042.
ICPRICPR-2018-CaiLWY #estimation #network
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment (ZC, QL, SW, BY), pp. 495–500.
ICPRICPR-2018-CaoFM #network #recognition
An End-to-End Neural Network for Multi-line License Plate Recognition (YC, HF, HM), pp. 3698–3703.
ICPRICPR-2018-ChenHZLQ #analysis #detection #video
Video Salient Object Detection via Multiple Time-scale Analysis (YC, LH, WZ, XL, GQ), pp. 2184–2189.
ICPRICPR-2018-ChooSJC #classification #network
Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification (SKC, WS, DjJ, NIC), pp. 103–108.
ICPRICPR-2018-CuiZZH #learning #network #recognition #using
Multi-source Learning for Skeleton -based Action Recognition Using Deep LSTM Networks (RC, AZ, SZ, GH0), pp. 547–552.
ICPRICPR-2018-DaiHGX0GQ #detection #network #segmentation
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection (YD, ZH, YG, YX, KC0, JG, WQ), pp. 3604–3609.
ICPRICPR-2018-DehzangiBI #detection #process #using
Activity Detection using Fusion of Multi-Pressure Sensors in Insoles (OD, BAB, OI), pp. 3315–3321.
ICPRICPR-2018-Dey0GVLP #image #learning #retrieval #sketching #using
Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch (SD, AD0, SKG, EV, JL0, UP0), pp. 916–921.
ICPRICPR-2018-Do0V #graph
Knowledge Graph Embedding with Multiple Relation Projections (KD, TT0, SV), pp. 332–337.
ICPRICPR-2018-DuSZ #contest #identification #network
Which Part is Better: Multi-Part Competition Network for person Re-Identification (PD, YS, YZ0), pp. 1634–1639.
ICPRICPR-2018-GaolLH0W #automation #learning #predict
Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning (LG, WL, ZH, DH0, YW), pp. 3592–3597.
ICPRICPR-2018-GuoDGB #detection #named
MSFD: Multi-Scale Receptive Field Face Detector (QG, YD, YG, HB), pp. 1869–1874.
ICPRICPR-2018-GuoHSY #classification #rank
Low Rank Multi-Label Classification with Missing Labels (BG, CH, JS, DY), pp. 417–422.
ICPRICPR-2018-HansenL
Multiphase Local Mean Geodesic Active Regions (JDKH, FL), pp. 3031–3036.
ICPRICPR-2018-HanXW #generative #learning #network #representation
Learning Multi-view Generator Network for Shared Representation (TH0, XX, YNW), pp. 2062–2068.
ICPRICPR-2018-HanZG #classification #composition #network
Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification (YH, SZ, ZG), pp. 284–289.
ICPRICPR-2018-HeLYZLGZWZJ #contest #image #robust #web
ICPR2018 Contest on Robust Reading for Multi-Type Web Images (MH, YL, ZY, SZ0, CL, FG, QZ, YW, XZ, LJ), pp. 7–12.
ICPRICPR-2018-HuangZL #clustering #embedded
Spectral Embedded Clustering on Multi-Manifold (SH, LZ, FL), pp. 391–396.
ICPRICPR-2018-HuiLCHY #image
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders (LH, XL0, JC, HH, JY0), pp. 2044–2049.
ICPRICPR-2018-HuJZZS #recognition
Multi-task Micro-expression Recognition Combining Deep and Handcrafted Features (CH, DJ, HZ, XZ, YS), pp. 946–951.
ICPRICPR-2018-KhalidY #network #recognition
Multi-Modal Three-Stream Network for Action Recognition (MUK, JY), pp. 3210–3215.
ICPRICPR-2018-LeiZH0HL #classification #learning #rank
Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning (HL, YZ, ZH, FZ0, LH, BL), pp. 3268–3272.
ICPRICPR-2018-LiangLJXL #benchmark #dataset #metric #named #predict
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction (LL, LL, LJ, DX, ML), pp. 1598–1603.
ICPRICPR-2018-LiDHCH #process #semantics
Multi-label Semantic Decoding from Human Brain Activity (DL, CD, LH, ZC, HH), pp. 3796–3801.
ICPRICPR-2018-LiL18a #kernel #online
An Online Kernel Selection Wrapper via Multi-Armed Bandit Model (JL, SL), pp. 1307–1312.
ICPRICPR-2018-LiuZWWZ #identification #mining
Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features (FL0, XZ, ZW, TW, YZ), pp. 3114–3119.
ICPRICPR-2018-LiWX #recognition
Facial Expression Recognition by Multi-Scale CNN with Regularized Center Loss (ZL, SW, GX), pp. 3384–3389.
ICPRICPR-2018-LiZLL #bottom-up #bound #constraints #estimation
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint (ML, ZZ, JL, XL), pp. 115–120.
ICPRICPR-2018-LuoKWCS #anti
Face Anti-Spoofing with Multi-Scale Information (SL, MK, SW, XC, SS), pp. 3402–3407.
ICPRICPR-2018-MaB0
Dual-SVM tracker via Multiple Support Instance and LEVER Strategy (DM, WB, XW0), pp. 2124–2129.
ICPRICPR-2018-MaGLLZ #3d #named #network #segmentation #semantics
3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation (YM, YG, YL, ML, JZ), pp. 1560–1566.
ICPRICPR-2018-MartinezPSLBP #functional #kernel #personalisation #recognition
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals (DLM, KP, SCS, AJL, DB, RWP), pp. 2320–2325.
ICPRICPR-2018-MaWWW #detection #named #network #performance
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection (WM, YW, ZW, GW), pp. 2510–2515.
ICPRICPR-2018-MeiJSH #dependence #detection
Region and Temporal Dependency Fusion for Multi-label Action Unit Detection (CM, FJ, RS, QH), pp. 848–853.
ICPRICPR-2018-NavyaSSRGPL #gender #identification
Multi-Gradient Directional Features for Gender Identification (BJN, GCS, PS, SR, DSG, UP0, TL), pp. 3657–3662.
ICPRICPR-2018-NguyenLNP #pattern matching #pattern recognition #recognition
Bayesian Multi-Hyperplane Machine for Pattern Recognition (KN, TL, TDN, DQP), pp. 609–614.
ICPRICPR-2018-NieLQZJ #algorithm #classification #incremental #learning
An Incremental Multi-view Active Learning Algorithm for PolSAR Data Classification (XN, YL, HQ, BZ0, ZPJ), pp. 2251–2255.
ICPRICPR-2018-PeiFR #learning
Learning with Latent Label Hierarchy from Incomplete Multi-Label Data (YP, XZF, RR), pp. 2075–2080.
ICPRICPR-2018-PengSCCXJ #architecture #detection #using
Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture (DP, ZS, ZC, ZC, LX, LJ), pp. 2528–2533.
ICPRICPR-2018-PereraAP #generative #named #network #using
In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks (PP, MA, VMP), pp. 140–146.
ICPRICPR-2018-PramerdorferKL #3d #bound #classification #network
Multi-View Classification and 3D Bounding Box Regression Networks (CP, MK, MVL), pp. 734–739.
ICPRICPR-2018-RaghavendraVRGB #detection #recognition
Detecting Disguise Attacks on Multi-spectral Face Recognition Through Spectral Signatures (RR, NV, KBR, RSG, CB), pp. 3371–3377.
ICPRICPR-2018-SadafiKHPMS #using
Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model (AS, VMK, HH, FP, VM, DS), pp. 2433–2437.
ICPRICPR-2018-SchwarczP #2d #3d #estimation
3D Human Pose Estimation from Deep Multi-View 2D Pose (SS, TP), pp. 2326–2331.
ICPRICPR-2018-ShengCWL #detection #image #ranking
Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking (YS, LC, CW0, JL), pp. 2765–2770.
ICPRICPR-2018-ShuiWYHGLZ #3d #network #segmentation
3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features (PS, PW, FY, BH, YG, KL, YZ0), pp. 1056–1061.
ICPRICPR-2018-SongLXG #classification #encoding #robust
Multi-Scale Cross-Band Encoding of Sectored Local Binary Pattern for Robust Texture Classification (TS, LL, LX, CG), pp. 1163–1168.
ICPRICPR-2018-SuHK #analysis #classification #component #performance #using
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis (YS, YH, CCJK), pp. 585–590.
ICPRICPR-2018-SuJ #analysis #image #using
Multi-Spectral Fusion and Denoising of RGB and NIR Images Using Multi-Scale Wavelet Analysis (HS, CJ), pp. 1779–1784.
ICPRICPR-2018-SunLHW #algorithm #array #classification
A New ECOC Algorithm for Multiclass Microarray Data Classification (MS, KL, QH, BW), pp. 454–458.
ICPRICPR-2018-SunLL
Part-based Multi-stream Model for Vehicle Searching (YS, ML, JL), pp. 1372–1377.
ICPRICPR-2018-TianZZLW #feature model #fine-grained #recognition
Selective Multi-Convolutional Region Feature Extraction based Iterative Discrimination CNN for Fine-Grained Vehicle Model Recognition (YT, WZ, QZ, GL, XW), pp. 3279–3284.
ICPRICPR-2018-TranLPHKTNP #analysis #dataset
A multi-modal multi-view dataset for human fall analysis and preliminary investigation on modality (THT, TLL, DTP, VNH, VMK, QTT, TSN, CP), pp. 1947–1952.
ICPRICPR-2018-WangLH #algorithm #performance
An Efficient Budget Allocation Algorithm for Multi-Channel Advertising (XW, PL, AH), pp. 886–891.
ICPRICPR-2018-WangLLL #detection #network
Anchor Free Network for Multi-Scale Face Detection (CW, ZL, SL, SL), pp. 1554–1559.
ICPRICPR-2018-WangWCK #classification #image #learning #metric #set
Multiple Manifolds Metric Learning with Application to Image Set Classification (RW, XJW, KXC, JK), pp. 627–632.
ICPRICPR-2018-WangXLTXX #detection #network
Multi-scale Fusion with Context-aware Network for Object Detection (HW, JX, LL, YT, DX, SX), pp. 2486–2491.
ICPRICPR-2018-WangZGW #detection #image #network #parametricity #using
Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation (YW, BZ, DG, JW), pp. 3814–3819.
ICPRICPR-2018-WitmerB #classification #image #learning #using
Multi-label Classification of Stem Cell Microscopy Images Using Deep Learning (AW, BB), pp. 1408–1413.
ICPRICPR-2018-WuLCW #learning #semantics
Learning a Hierarchical Latent Semantic Model for Multimedia Data (SHW, YSL, SHC, JCW), pp. 2995–3000.
ICPRICPR-2018-WuTL
Privileged Multi-Target Support Vector Regression (GW, YT, DL), pp. 385–390.
ICPRICPR-2018-WuZLW #image #novel
A Novel Model for Multi-label Image Annotation (XW, LZ0, FL, BW), pp. 1953–1958.
ICPRICPR-2018-XieW #detection #segmentation #semantics
Multi-scale Semantic Segmentation Enriched Features for Pedestrian Detection (XX, ZW), pp. 2196–2201.
ICPRICPR-2018-XuCG #learning #modelling #random #using
Common Random Subgraph Modeling Using Multiple Instance Learning (TX, DKYC, IG), pp. 1205–1210.
ICPRICPR-2018-XuGSL
Non-iterative multiple data registration method based on the motion screw theory and trackable features (PX, FG, ZS, JL), pp. 2428–2432.
ICPRICPR-2018-XuZL #feature model #named #recognition
MSSVT: Multi-scale feature extraction for single face recognition (XX, LZ, FL), pp. 1996–2001.
ICPRICPR-2018-Yang0K #generative #network
Multi-scale Generative Adversarial Networks for Crowd Counting (JY, YZ0, SYK), pp. 3244–3249.
ICPRICPR-2018-YangZYCL #self #visual notation
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perceptions (ZY, YZ, JY, JC, JL), pp. 2289–2294.
ICPRICPR-2018-YinLLCS #detection #realtime
Cross Modal Multiscale Fusion Net for Real-time RGB-D Detection (KY, SL0, RL, YC, KS), pp. 2386–2391.
ICPRICPR-2018-YinLZ #clustering
Multi-Source Clustering based on spectral recovery (HY, FL, LZ), pp. 231–236.
ICPRICPR-2018-Yip0 #recognition
Grouped Multi-Task CNN for Facial Attribute Recognition (CY, HH0), pp. 272–277.
ICPRICPR-2018-YiXWF #adaptation #recognition
Multi-source Domain Adaptation for Face Recognition (HY, ZX, YW, ZF), pp. 1349–1354.
ICPRICPR-2018-YuanTLDZ #automation #learning #segmentation #using
Fully Automatic Segmentation of the Left Ventricle Using Multi-Scale Fusion Learning (TY, QT, XL, XD, JZ), pp. 3838–3843.
ICPRICPR-2018-YuanWXZ #empirical #estimation #learning
Multiple- Instance Learning with Empirical Estimation Guided Instance Selection (LY, XW, HX, LZ), pp. 770–775.
ICPRICPR-2018-ZhangDD #recognition
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition (JZ, JD, LD), pp. 2245–2250.
ICPRICPR-2018-ZhangDKQL #detection #network
Global Contrast Enhancement Detection via Deep Multi-Path Network (CZ, DD, LK, HQ, SL), pp. 2815–2820.
ICPRICPR-2018-ZhangDW #realtime #visual notation
Multi-layer CNN Features Aggregation for Real-time Visual Tracking (LZ, YD, YW), pp. 2404–2409.
ICPRICPR-2018-ZhangJZZSLH #named #segmentation
SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation (YZ, XJ, CZ, YZ, ZS, ZL, ZH), pp. 3947–3952.
ICPRICPR-2018-ZhangWG #adaptation #learning #representation
Adaptive Latent Representation for Multi-view Subspace Learning (YZ, XW, XG), pp. 1229–1234.
ICPRICPR-2018-ZhaoLZTNM #analysis #automation #component #image #robust #segmentation #using
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis (YZ0, HL0, RZ, GT, MN, BHM), pp. 3880–3885.
ICPRICPR-2018-ZhengWXHG #adaptation #detection #self
A Noise-Robust Self-Adaptive Multitarget Speaker Detection System (SZ, JW, JX, WNH, JRG), pp. 1068–1072.
ICPRICPR-2018-ZhongJ0JX #fine-grained #image #network #recognition
A Multi-part Convolutional Attention Network for Fine-Grained Image Recognition (WZ, LJ, TZ0, JJ, HX), pp. 1857–1862.
ICPRICPR-2018-ZhouXZH #graph #higher-order #online
Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching (ZZ, JX, MZ, WH), pp. 1809–1814.
ICPRICPR-2018-Zhuang0CW #classification #learning
Multi-task Learning of Cascaded CNN for Facial Attribute Classification (NZ, YY0, SC, HW), pp. 2069–2074.
ICPRICPR-2018-ZhuMT #graph #kernel #retrieval
Multi-Kernel Supervised Hashing with Graph Regularization for Cross-Modal Retrieval (MZ, HM, JT), pp. 2717–2722.
ICPRICPR-2018-ZouLZ #adaptation #clustering
Nonnegative and Adaptive Multi-view Clustering (PZ, FL, LZ), pp. 1247–1252.
KDDKDD-2018-CaiWGSJ #learning
Deep Adversarial Learning for Multi-Modality Missing Data Completion (LC, ZW, HG, DS, SJ), pp. 1158–1166.
KDDKDD-2018-ChenHNLLWX #named
MIX: Multi-Channel Information Crossing for Text Matching (HC, FXH, DN, DL, KL, CW, YX), pp. 110–119.
KDDKDD-2018-CobbEMR #calculus #identification #process
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus (ADC, RE, AM, SJR), pp. 1254–1262.
KDDKDD-2018-DuDXZW
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching (CD, CD, XX, CZ, HW), pp. 1348–1357.
KDDKDD-2018-FoxAJPW #learning #predict
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories (IF, LA, MJ, RPB, JW), pp. 1387–1395.
KDDKDD-2018-HanSSZ #collaboration #learning #semistructured data
Multi-label Learning with Highly Incomplete Data via Collaborative Embedding (YH, GS, YS, XZ0), pp. 1494–1503.
KDDKDD-2018-Janakiraman #learning #safety #using
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning (VMJ), pp. 406–415.
KDDKDD-2018-JeongJ #learning
Variable Selection and Task Grouping for Multi-Task Learning (JYJ, CHJ), pp. 1589–1598.
KDDKDD-2018-LiFWSYL #estimation #learning #representation
Multi-task Representation Learning for Travel Time Estimation (YL, KF, ZW, CS, JY, YL0), pp. 1695–1704.
KDDKDD-2018-LinKLZSXZQZ #big data #identification #interactive #named
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data (QL, WK, JGL, HZ0, KS, YX, ZZ, BQ, DZ), pp. 547–555.
KDDKDD-2018-LinZXZ #learning #performance #scalability
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (KL, RZ, ZX, JZ), pp. 1774–1783.
KDDKDD-2018-MaZYCHC #learning #modelling
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts (JM, ZZ, XY, JC, LH, EHC), pp. 1930–1939.
KDDKDD-2018-NieHL #learning
Calibrated Multi-Task Learning (FN, ZH, XL), pp. 2012–2021.
KDDKDD-2018-NieTL #adaptation #clustering
Multiview Clustering via Adaptively Weighted Procrustes (FN, LT, XL), pp. 2022–2030.
KDDKDD-2018-NiOLLOZS #e-commerce #learning
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks (YN, DO, SL, XL, WO, AZ, LS), pp. 596–605.
KDDKDD-2018-RaoTL #comprehension #framework #learning #network #platform #query
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform (JR, FT, JL), pp. 636–645.
KDDKDD-2018-SongXCCT #rank #retrieval
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval (DS, NX, WC, HC, DT), pp. 2229–2238.
KDDKDD-2018-SunBZWZ #modelling #network
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases (MS, IMB, LZ, ZW, JZ), pp. 2259–2268.
KDDKDD-2018-SunHYC
Multi-Round Influence Maximization (LS, WH0, PSY, WC), pp. 2249–2258.
KDDKDD-2018-SureshGG #learning
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU (HS, JJG, JVG), pp. 802–810.
KDDKDD-2018-TayLH #network #recommendation
Multi-Pointer Co-Attention Networks for Recommendation (YT, ATL, SCH), pp. 2309–2318.
KDDKDD-2018-TayTH #network
Multi-Cast Attention Networks (YT, LAT, SCH), pp. 2299–2308.
KDDKDD-2018-WangJZEC #behaviour #learning
Multi-Type Itemset Embedding for Learning Behavior Success (DW, MJ0, QZ, ZE, NVC), pp. 2397–2406.
KDDKDD-2018-WangMJYXJSG #detection #named #network
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection (YW, FM, ZJ, YY0, GX, KJ, LS, JG0), pp. 849–857.
KDDKDD-2018-WangWLW #analysis #composition #network
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis (JW, ZW, JL, JW), pp. 2437–2446.
KDDKDD-2018-YangWZL0 #classification #network
Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport (YY, YFW, DCZ, ZBL, YJ0), pp. 2594–2603.
KDDKDD-2018-ZhangLMGS #approach #named
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data (HZ, YL, FM, JG0, LS), pp. 2729–2737.
KDDKDD-2018-ZhangW #crowdsourcing
Multi-Label Inference for Crowdsourcing (JZ, XW0), pp. 2738–2747.
ICMTICMT-2018-Hinkel #framework #modelling #named #platform
NMF: A Multi-platform Modeling Framework (GH), pp. 184–194.
MoDELSMoDELS-2018-JolakHCS #case study #challenge #development #modelling #re-engineering
Model-Based Software Engineering: A Multiple-Case Study on Challenges and Development Efforts (RJ, THQ, MRVC, RRHS), pp. 213–223.
MoDELSMoDELS-2018-KusmenkoRSW #c++ #compilation #component #embedded #modelling
Highly-Optimizing and Multi-Target Compiler for Embedded System Models: C++ Compiler Toolchain for the Component and Connector Language EmbeddedMontiArc (EK, BR, SS, MvW), pp. 447–457.
MoDELSMoDELS-2018-WestfechtelG #model transformation #variability
From Single- to Multi-Variant Model Transformations: Trace-Based Propagation of Variability Annotations (BW, SG), pp. 46–56.
OOPSLAOOPSLA-2018-DietzA #library
Software multiplexing: share your libraries and statically link them too (WD, VSA), p. 26.
LOPSTRLOPSTR-2018-CarboneCMM
Multiparty Classical Choreographies (MC, LCF, FM, AM), pp. 59–76.
LOPSTRLOPSTR-2018-Garcia-Contreras #abstract interpretation
Multivariant Assertion-Based Guidance in Abstract Interpretation (IGC, JFM, MVH), pp. 184–201.
PLDIPLDI-2018-SteindorferV #exclamation #functional #performance
To-many or to-one? all-in-one! efficient purely functional multi-maps with type-heterogeneous hash-tries (MJS, JJV), pp. 283–295.
POPLPOPL-2018-PulteFDFSS #axiom #concurrent #modelling
Simplifying ARM concurrency: multicopy-atomic axiomatic and operational models for ARMv8 (CP, SF, WD, JF, SS, PS), p. 29.
ASEASE-2018-AlizadehK #clustering #interactive #refactoring
Reducing interactive refactoring effort via clustering-based multi-objective search (VA, MK), pp. 464–474.
ASEASE-2018-BeyerF #concurrent #independence #model checking #thread
Domain-independent multi-threaded software model checking (DB, KF), pp. 634–644.
ASEASE-2018-DustmannWC #execution #named #symbolic computation
PARTI: a multi-interval theory solver for symbolic execution (OSD, KW, CC), pp. 430–440.
ASEASE-2018-MaJZSXLCSLLZW #learning #named #testing
DeepGauge: multi-granularity testing criteria for deep learning systems (LM0, FJX, FZ, JS, MX, BL0, CC, TS, LL0, YL0, JZ, YW), pp. 120–131.
ASEASE-2018-Traini #distributed #effectiveness #fault #framework #injection #performance
A multi-objective framework for effective performance fault injection in distributed systems (LT), pp. 936–939.
ICSE-2018-Lambers0TBH #analysis #dependence #graph transformation #re-engineering
Multi-granular conflict and dependency analysis in software engineering based on graph transformation (LL, DS0, GT, KB, JH), pp. 716–727.
ICSE-2018-LinJGM #integer #named #programming #testing
Nemo: multi-criteria test-suite minimization with integer nonlinear programming (JWL, RJ, JG, SM), pp. 1039–1049.
ICSE-2018-XueL #feature model #integer #optimisation #problem #programming
Multi-objective integer programming approaches for solving optimal feature selection problem: a new perspective on multi-objective optimization problems in SBSE (YX, YFL), pp. 1231–1242.
GPCEGPCE-2018-StuckiBO #metaprogramming #unification
A practical unification of multi-stage programming and macros (NS, AB, MO), pp. 14–27.
ASPLOSASPLOS-2018-Ausavarungnirun #concurrent #gpu #memory management #named
MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency (RA, VM, JL, SG, JG, AJ, CJR, OM), pp. 503–518.
ASPLOSASPLOS-2018-ZhaL #configuration management #scalability
Liquid Silicon-Monona: A Reconfigurable Memory-Oriented Computing Fabric with Scalable Multi-Context Support (YZ, JL), pp. 214–228.
CASECASE-2018-BarretoC #simulation #using
Matching the Free-Vibration Response of a Delta Robot with Pick-and-Place Tasks Using Multi-Body Simulation (JPB, BC), pp. 1487–1492.
CASECASE-2018-CavoneDEMS #design #nondeterminism
A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty (GC, MD, NE, DM, CS), pp. 528–533.
CASECASE-2018-ChuBIICS #learning #online #power management #using
Plug-and-Play Power Management Control of All-Electric Vehicles Using Multi-Agent System and On-line Gaussian Learning (KCC, GB, MI, AI, CC, KS), pp. 1599–1604.
CASECASE-2018-FazliradB #overview #perspective #scheduling #state of the art
Multiagent Manufacturing Scheduling: An Updated State of the Art Review (AF, RWB), pp. 722–729.
CASECASE-2018-GonzalezCPS #detection #interface
Obstacle Detection and Avoidance Device for Multirotor UAVs through interface with Pixhawk Flight Controller (JG, AC, JAP, CS), pp. 110–115.
CASECASE-2018-LuderPRBR #migration #towards
Support for engineering chain migration towards multi-diciplinary engineering chains (AL, JLP, RR, SB, FR), pp. 671–674.
CASECASE-2018-MaierUG #automation #continuation #implementation #performance
Efficient Implementation of Task Automation to Support Multidisciplinary Engineering of CPS (RM, SU, MG), pp. 1388–1393.
CASECASE-2018-MalhanKSSGC #hybrid
Hybrid Cells for Multi-Layer Prepreg Composite Sheet Layup (RKM, AMK, AVS, BCS, SKG, TC), pp. 1466–1472.
CASECASE-2018-OutafraoutAN #analysis #approach #hybrid #modelling #performance #petri net
A colored hybrid Petri net-based modeling approach for performance analysis of a multi-modal transportation system (KO, EhCEA, ANSM), pp. 1568–1573.
CASECASE-2018-SarkarDA #performance #semantics #towards
Semantic knowledge driven utility calculation towards efficient multi-robot task allocation (CS, SD, MA), pp. 144–147.
CASECASE-2018-SunPZBZPX #coordination #energy #modelling #simulation
Cyber-coordinated Simulation Models for Multi-stage Additive Manufacturing of Energy Products (HS, GP, GZ, AB, CZ, RP, WX), pp. 893–898.
CASECASE-2018-ThayerVGC #algorithm
Multi-Robot Routing Algorithms for Robots Operating in Vineyards (TCT, SV, KG, SC), pp. 14–21.
CASECASE-2018-ThonnessenRRSK #algorithm #correctness #specification
Correctness Properties and Exemplified Applicability of a Signal Matching Algorithm with Multidimensional Tolerance Specifications (DT, NR, SR, AS, SK), pp. 1197–1202.
CASECASE-2018-WangKZY #concept #data type #detection #learning
A Multiscale Concept Drift Detection Method for Learning from Data Streams (XW, QK, MZ, SY), pp. 786–790.
CASECASE-2018-Wu #approach #automation #clustering #detection #online
CASE 2018 Special Session Presentation-Only Abstract Submission Form: A Sequential Bayesian Partitioning Approach for Online Steady State Detection of Multivariate Systems (JW), pp. 1308–1309.
CASECASE-2018-XiongPYT
Consensus Based Formation Control for Multi-UAV Systems with Time-varying Delays and Jointly Connected Topologies (TX, ZP, JY, XT), pp. 292–297.
CASECASE-2018-XuXLLW
A Multi-Mode Biomimetic Wall-Climbing Robot (JX, LX, JL, XL, XW), pp. 514–519.
CASECASE-2018-YangGWD #cyber-physical #distributed #energy #network
A Multi-layered Distributed Cloud Network for Cyber-Physical Energy System (LY, XG, JW, SD), pp. 402–407.
CASECASE-2018-YangH #graph #on the
On a class of multi-input laplacian controllable graphs (PYY, SPH), pp. 310–315.
CASECASE-2018-ZhangWZ #in the cloud #resource management
Multi-user Multi-provider Resource Allocation in Cloud Computing (PZ, XW, MZ), pp. 1428–1433.
CASECASE-2018-ZhangZG #case study #optimisation #problem
Multiobjective Optimization Approaches to Airline Crew Rostering Problems: A Case Study (ZZ, MZ, SG), pp. 750–755.
CASECASE-2018-ZhuLH #algorithm #heuristic #problem #scheduling
A Modified Heuristic Algorithm for Resource Constrained Multi-project Scheduling Problem based on Inspection and Rework (HZ, ZL, XH), pp. 1058–1063.
FASEFASE-2018-0001PJ #product line #variability
Taming Multi-Variability of Software Product Line Transformations (DS0, SP, JJ), pp. 337–355.
FASEFASE-2018-DiskinKL #lens
Multiple Model Synchronization with Multiary Delta Lenses (ZD, HK, ML), pp. 21–37.
CAVCAV-2018-FengKLXZ #automaton #monitoring
Monitoring CTMCs by Multi-clock Timed Automata (YF, JPK, HL, BX, NZ), pp. 507–526.
CAVCAV-2018-Walther
Formally Verified Montgomery Multiplication (CW), pp. 505–522.
CSLCSL-2018-DownenA #towards
Beyond Polarity: Towards a Multi-Discipline Intermediate Language with Sharing (PD, ZMA), p. 23.
ICSTICST-2018-Arcuri #automation #generative #named #testing
EvoMaster: Evolutionary Multi-context Automated System Test Generation (AA), pp. 394–397.
ICSTICST-2018-FengJ0F #classification #empirical #problem
An Empirical Study on Software Failure Classification with Multi-label and Problem-Transformation Techniques (YF0, JAJ, ZC0, CF), pp. 320–330.
ICSTICST-2018-PradhanW00L #mining #named #testing #using
REMAP: Using Rule Mining and Multi-objective Search for Dynamic Test Case Prioritization (DP, SW0, SA0, TY0, ML), pp. 46–57.
VMCAIVMCAI-2018-HumenbergerJK #generative #invariant #polynomial
Invariant Generation for Multi-Path Loops with Polynomial Assignments (AH, MJ, LK), pp. 226–246.
CSEETCSEET-2017-HeymSBSPHKS #case study #component #contract #education #experience #reasoning
Integrating Components, Contracts, and Reasoning in CS Curricula with RESOLVE: Experiences at Multiple Institutions (WDH, PAGS, PB, MS, KP, JEH, JK, NS), pp. 202–211.
CSEETCSEET-2017-LiebelBH #case study #education #modelling #re-engineering #tool support #uml
Model Driven Software Engineering in Education: A Multi-Case Study on Perception of Tools and UML (GL, OB, RH), pp. 124–133.
EDMEDM-2017-BaoCH #learning #on the #online
On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning (YB, GC, CH).
EDMEDM-2017-PatikornSHBZ #detection #using
Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects (TP, DS, NTH, JB, JZ).
ICSMEICSME-2017-GoonetillekeMB #data transformation #dependence #evolution #graph
Graph Data Management of Evolving Dependency Graphs for Multi-versioned Codebases (OG, DM, BB), pp. 574–583.
ICSMEICSME-2017-GuC0SDML #android #automation #named #testing
AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications (TG, CC, TL0, CS, JD, XM, JL0), pp. 103–114.
ICSMEICSME-2017-LiJZZ #fault #kernel #learning #predict
Heterogeneous Defect Prediction Through Multiple Kernel Learning and Ensemble Learning (ZL0, XYJ, XZ, HZ0), pp. 91–102.
ICSMEICSME-2017-Yu #evolution #named #testing
SimEvo: Testing Evolving Multi-process Software Systems (TY), pp. 204–215.
MSRMSR-2017-YamashitaAKG #case study #evolution #industrial #quality
Software evolution and quality data from controlled, multiple, industrial case studies (AY, SAA, FK, YGG), pp. 507–510.
SANERSANER-2017-AlexandruPG #analysis
Reducing redundancies in multi-revision code analysis (CVA, SP, HCG), pp. 148–159.
SANERSANER-2017-BuckersCDGWBZ #automation #named #static analysis #tool support
UAV: Warnings from multiple Automated Static Analysis Tools at a glance (TB, CC, MD, BG, SW, MB, AZ), pp. 472–476.
SANERSANER-2017-DorningerMP #cobol #java #migration
Multi-language re-documentation to support a COBOL to Java migration project (BD, MM, JP), pp. 536–540.
AFLAFL-2017-AlhazovFIV
(Tissue) P Systems with Vesicles of Multisets (AA, RF, SI, SV), pp. 11–25.
FSCDFSCD-2017-BlanchetteFT #higher-order
Nested Multisets, Hereditary Multisets, and Syntactic Ordinals in Isabelle/HOL (JCB, MF, DT), p. 18.
IFM-2017-JiWW #game studies
Synthesizing Coalitions for Multi-agent Games (WJ, FW, PW0), pp. 243–259.
IFM-2017-OweRF #contract #hoare #reasoning
Hoare-Style Reasoning from Multiple Contracts (OO, TR, EF), pp. 263–278.
CHI-PLAYCHI-PLAY-2017-ArroyoMCOHR #game studies #learning #smarttech
Wearable Learning: Multiplayer Embodied Games for Math (IA, MM, JC, EO, TH, MMTR), pp. 205–216.
CHI-PLAYCHI-PLAY-2017-CastelhanoR #design #game studies #lessons learnt
Lessons From Designing a Game to Support Playfulness in Multisensory Stimulation Environments (NC, LR), pp. 57–68.
CHI-PLAYCHI-PLAY-2017-DeppingM #game studies #how #social
Cooperation and Interdependence: How Multiplayer Games Increase Social Closeness (AED, RLM), pp. 449–461.
CHI-PLAYCHI-PLAY-2017-EmmerichM #experience #game studies #interactive #social
The Impact of Game Patterns on Player Experience and Social Interaction in Co-Located Multiplayer Games (KE, MM), pp. 411–422.
CHI-PLAYCHI-PLAY-2017-VellaKJ #game studies
The Impact of Agency and Familiarity in Cooperative Multiplayer Games (KV, CJK, DJ0), pp. 423–434.
CoGCIG-2017-BertensGP #big data #game studies #predict #scalability
Games and big data: A scalable multi-dimensional churn prediction model (PB, AG, AP), pp. 33–36.
CoGCIG-2017-BrownA #game studies #using
Using multiple worlds for multiple agent roles in games (JAB, DA), pp. 37–44.
CoGCIG-2017-GrossiR #behaviour #communication
Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains (GG, BR), pp. 110–117.
CoGCIG-2017-SnodgrassO #generative #using
Procedural level generation using multi-layer level representations with MdMCs (SS, SO), pp. 280–287.
FDGFDG-2017-KaravolosLY #game studies #learning
Learning the patterns of balance in a multi-player shooter game (DK, AL, GNY), p. 10.
FDGFDG-2017-SiuGR #game studies
Evaluating singleplayer and multiplayer in human computation games (KS, MG, MOR), p. 10.
CoGVS-Games-2017-AbellardA #adaptation #game studies
Serious games adapted to children with profound intellectual and multiple disabilities (PA, AA), pp. 183–184.
CoGVS-Games-2017-TsatsouVD #adaptation #case study #experience #learning #modelling
Modelling learning experiences in adaptive multi-agent learning environments (DT, NV, PD), pp. 193–200.
CIKMCIKM-2017-AmsterdamerG #named
PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World (YA, OG0), pp. 2443–2446.
CIKMCIKM-2017-BrayteeLCK #correlation #feature model #using
Multi-Label Feature Selection using Correlation Information (AB, WL0, DRC, PJK), pp. 1649–1656.
CIKMCIKM-2017-ChaiLTS #learning
Compact Multiple-Instance Learning (JC, WL0, IWT, XBS), pp. 2007–2010.
CIKMCIKM-2017-GalimbertiBG #composition #network
Core Decomposition and Densest Subgraph in Multilayer Networks (EG, FB, FG), pp. 1807–1816.
CIKMCIKM-2017-HaqueWCDKH #classification #named #online
FUSION: An Online Method for Multistream Classification (AH, ZW, SC, BD, LK, KWH), pp. 919–928.
CIKMCIKM-2017-KimJY #online #using
Construction of a National Scale ENF Map using Online Multimedia Data (HK, YBJ, JWY), pp. 19–28.
CIKMCIKM-2017-LiGX #image #retrieval
Deep Multi-Similarity Hashing for Multi-label Image Retrieval (TL, SG, YX), pp. 2159–2162.
CIKMCIKM-2017-LinMZ #approach #identification #modelling #topic
An Enhanced Topic Modeling Approach to Multiple Stance Identification (JL, WM, YZ), pp. 2167–2170.
CIKMCIKM-2017-LiuH #adaptation #framework #personalisation #predict
A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection (ZL, MH), pp. 1169–1177.
CIKMCIKM-2017-LiuZLCYM
Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions (CL0, YZ, LL0, LC, DY, CM), pp. 287–295.
CIKMCIKM-2017-MaHLSYLR #analysis #clustering #graph
Multi-view Clustering with Graph Embedding for Connectome Analysis (GM, LH0, CTL, WS, PSY, ADL, ABR), pp. 127–136.
CIKMCIKM-2017-ManotumruksaMO17a #framework #personalisation #ranking #recommendation
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation (JM, CM, IO), pp. 1469–1478.
CIKMCIKM-2017-MeleBC #analysis
Linking News across Multiple Streams for Timeliness Analysis (IM, SAB, FC), pp. 767–776.
CIKMCIKM-2017-NayeemC #generative
Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation (MTN, YC), pp. 2223–2226.
CIKMCIKM-2017-PatwariGB #classification #detection #named
TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates (AP, DG, SB), pp. 2259–2262.
CIKMCIKM-2017-QuTSR00 #collaboration #framework #learning #network #representation
An Attention-based Collaboration Framework for Multi-View Network Representation Learning (MQ, JT0, JS, XR, MZ0, JH0), pp. 1767–1776.
CIKMCIKM-2017-SongYL #algorithm #set
SIMD-Based Multiple Sets Intersection with Dual-Scale Search Algorithm (XS, YY, XL), pp. 2311–2314.
CIKMCIKM-2017-TayTPH #graph #network #predict
Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs (YT, LAT, MCP, SCH), pp. 1029–1038.
CIKMCIKM-2017-TengLW #detection #learning #network #using
Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning (XT, YRL, XW), pp. 827–836.
CIKMCIKM-2017-WengLHF #crowdsourcing
Crowdsourced Selection on Multi-Attribute Data (XW, GL0, HH, JF), pp. 307–316.
CIKMCIKM-2017-XuG #query
Query and Animate Multi-attribute Trajectory Data (JX, RHG), pp. 2551–2554.
CIKMCIKM-2017-YuanSCZG0 #detection #sequence
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences (QY0, JS, XC, CZ0, XG, JH0), pp. 617–626.
CIKMCIKM-2017-ZhangCLG0X #named
MIKE: Keyphrase Extraction by Integrating Multidimensional Information (YZ, YC, XL, SDG, XL0, CX), pp. 1349–1358.
CIKMCIKM-2017-ZhengZS #collaboration
Local Ensemble across Multiple Sources for Collaborative Filtering (JZ, FZ, CS), pp. 2431–2434.
CIKMCIKM-2017-ZhuZHWZZY #collaboration #learning #recommendation
Broad Learning based Multi-Source Collaborative Recommendation (JZ, JZ, LH0, QW, BZ0, CZ, PSY), pp. 1409–1418.
ECIRECIR-2017-AliannejadiRC #keyword #personalisation
Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs (MA, DR, FC), pp. 291–303.
ECIRECIR-2017-RomeoMBM #approach #learning #ranking
A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking (SR, GDSM, ABC, AM), pp. 437–449.
ICMLICML-2017-AchabBGMM
Uncovering Causality from Multivariate Hawkes Integrated Cumulants (MA, EB, SG, IM, JFM), pp. 1–10.
ICMLICML-2017-AndreasKL #composition #learning #policy #sketching
Modular Multitask Reinforcement Learning with Policy Sketches (JA, DK, SL), pp. 166–175.
ICMLICML-2017-AppelP #empirical #framework
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency (RA, PP), pp. 186–194.
ICMLICML-2017-BeygelzimerOZ #learning #online #performance
Efficient Online Bandit Multiclass Learning with Õ(√T) Regret (AB, FO, CZ), pp. 488–497.
ICMLICML-2017-BuddenMSCS
Deep Tensor Convolution on Multicores (DMB, AM, SS, SRC, NS), pp. 615–624.
ICMLICML-2017-Busa-FeketeSWM #optimisation
Multi-objective Bandits: Optimizing the Generalized Gini Index (RBF, BS, PW, SM), pp. 625–634.
ICMLICML-2017-ChangCCCSD #clustering #nondeterminism
Multiple Clustering Views from Multiple Uncertain Experts (YC, JC, MHC, PJC, EKS, JGD), pp. 674–683.
ICMLICML-2017-ChenC0Z #adaptation #identification
Adaptive Multiple-Arm Identification (JC, XC0, QZ0, YZ0), pp. 722–730.
ICMLICML-2017-ChowdhuryG #kernel #on the
On Kernelized Multi-armed Bandits (SRC, AG), pp. 844–853.
ICMLICML-2017-FoersterNFATKW #experience #learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning (JNF, NN, GF, TA, PHST, PK, SW), pp. 1146–1155.
ICMLICML-2017-FutomaHH #classification #detection #learning #process
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier (JF, SH, KAH), pp. 1174–1182.
ICMLICML-2017-HoNYBHP #clustering
Multilevel Clustering via Wasserstein Means (NH, XN, MY, HHB, VH, DQP), pp. 1501–1509.
ICMLICML-2017-HornakovaLA #analysis #graph #optimisation
Analysis and Optimization of Graph Decompositions by Lifted Multicuts (AH, JHL, BA), pp. 1539–1548.
ICMLICML-2017-JainMR #generative #learning #modelling #scalability
Scalable Generative Models for Multi-label Learning with Missing Labels (VJ, NM, PR), pp. 1636–1644.
ICMLICML-2017-KandasamyDSP #approximate #optimisation
Multi-fidelity Bayesian Optimisation with Continuous Approximations (KK, GD, JGS, BP), pp. 1799–1808.
ICMLICML-2017-LeeHPS #learning
Confident Multiple Choice Learning (KL, CH, KP, JS), pp. 2014–2023.
ICMLICML-2017-LeY0L #coordination #learning
Coordinated Multi-Agent Imitation Learning (HML0, YY, PC0, PL), pp. 1995–2003.
ICMLICML-2017-LiuWY
Analogical Inference for Multi-relational Embeddings (HL, YW, YY), pp. 2168–2178.
ICMLICML-2017-LouizosW #network #normalisation
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks (CL, MW), pp. 2218–2227.
ICMLICML-2017-NagamineM #case study #comprehension #recognition #representation #speech
Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition (TN, NM), pp. 2564–2573.
ICMLICML-2017-OchiaiWHH #recognition #speech
Multichannel End-to-end Speech Recognition (TO, SW, TH, JRH), pp. 2632–2641.
ICMLICML-2017-OhSLK #learning
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning (JO, SPS, HL, PK), pp. 2661–2670.
ICMLICML-2017-OmidshafieiPAHV #distributed #learning
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability (SO, JP, CA, JPH, JV), pp. 2681–2690.
ICMLICML-2017-PentinaL #learning
Multi-task Learning with Labeled and Unlabeled Tasks (AP, CHL), pp. 2807–2816.
ICMLICML-2017-RaghunathanVZ
Estimating the unseen from multiple populations (AR, GV, JZ), pp. 2855–2863.
ICMLICML-2017-SaxeER #composition
Hierarchy Through Composition with Multitask LMDPs (AMS, ACE, BR), pp. 3017–3026.
ICMLICML-2017-ShenLYM #algorithm #named #optimisation
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization (LS, WL0, GY, SM), pp. 3125–3134.
ICMLICML-2017-UbaruM #classification #testing
Multilabel Classification with Group Testing and Codes (SU, AM), pp. 3492–3501.
ICMLICML-2017-Villacampa-Calvo #classification #process #scalability #using
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation (CVC, DHL), pp. 3550–3559.
ICMLICML-2017-WeiSKOG #process #similarity
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression (PW, RS, YK, YSO, CKG), pp. 3722–3731.
ICMLICML-2017-WuZ #metric #performance
A Unified View of Multi-Label Performance Measures (XZW, ZHZ), pp. 3780–3788.
ICMLICML-2017-ZhangZ
Multi-Class Optimal Margin Distribution Machine (TZ, ZHZ), pp. 4063–4071.
ICMLICML-2017-ZhouZIJWS #dataset #testing
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l₂-consistency and Neuroscience Applications (HHZ, YZ, VKI, SCJ, GW, VS), pp. 4170–4179.
KDDKDD-2017-AgarwalBSJ #effectiveness #evaluation #feedback #using
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers (AA, SB0, TS, TJ), pp. 687–696.
KDDKDD-2017-ChangYY #recognition #robust #visual notation
Robust Top-k Multiclass SVM for Visual Category Recognition (XC, YY, YY0), pp. 75–83.
KDDKDD-2017-EmraniMX #learning #using
Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning (SE, AM, WX), pp. 1457–1466.
KDDKDD-2017-HallacVBL #clustering
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data (DH, SV, SPB, JL), pp. 215–223.
KDDKDD-2017-HillNLIV #algorithm #optimisation #performance #realtime
An Efficient Bandit Algorithm for Realtime Multivariate Optimization (DNH, HN, YL0, AI, SVNV), pp. 1813–1821.
KDDKDD-2017-KittsKYZBPTTJ
Ad Serving with Multiple KPIs (BK, MK, IY, YZ, GB, AP, ST, ET, SRJ), pp. 1853–1861.
KDDKDD-2017-KomiyamaIANM #mining #statistics #testing
Statistical Emerging Pattern Mining with Multiple Testing Correction (JK, MI, HA, TN, SiM), pp. 897–906.
KDDKDD-2017-LiuPH #distributed #learning
Distributed Multi-Task Relationship Learning (SL, SJP, QH), pp. 937–946.
KDDKDD-2017-LuoZQYYWYW #functional #learning
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (TL, WZ, SQ, YY, DY, GW, JY, JW0), pp. 345–354.
KDDKDD-2017-QinKWRC #named
MARAS: Signaling Multi-Drug Adverse Reactions (XQ0, TK, SW, EAR, LC), pp. 1615–1623.
KDDKDD-2017-Scholtes #network #visual notation
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks (IS), pp. 1037–1046.
KDDKDD-2017-SongHGCH #streaming
Multi-Aspect Streaming Tensor Completion (QS, XH, HG, JC, XH), pp. 435–443.
KDDKDD-2017-Tagami #approximate #classification #named #nearest neighbour
AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification (YT), pp. 455–464.
KDDKDD-2017-TongKIYKSV #learning
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention (BT, MK, MI, TY, YK, AS, RV), pp. 2031–2040.
KDDKDD-2017-UesakaMSKMAY #learning #visual notation
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes (TU, KM, HS, TK, HM, RA, KY), pp. 2041–2050.
KDDKDD-2017-WangSZTJZ #matrix #modelling
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (QW, MS, LZ, PT0, SJ, JZ), pp. 1155–1164.
KDDKDD-2017-XieBLZ #distributed #learning #privacy
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates (LX, IMB, KL, JZ), pp. 1195–1204.
KDDKDD-2017-YangTH
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity (PY, QT, JH), pp. 1255–1264.
KDDKDD-2017-YouX0T #education #learning #network
Learning from Multiple Teacher Networks (SY, CX0, CX0, DT), pp. 1285–1294.
KDDKDD-2017-ZhangAQ #predict
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (LZ, CCA, GJQ), pp. 2141–2149.
KDDKDD-2017-ZhangCTSS #effectiveness #learning #named
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity (YZ, RC, JT0, WFS, JS), pp. 1315–1324.
KDDKDD-2017-ZhanZ #induction #learning
Inductive Semi-supervised Multi-Label Learning with Co-Training (WZ, MLZ), pp. 1305–1314.
ECOOPECOOP-2017-ScalasDHY #composition #distributed #linear #programming
A Linear Decomposition of Multiparty Sessions for Safe Distributed Programming (AS, OD, RH, NY), p. 31.
AdaEuropeAdaEurope-2017-GarridoZ0P
Evaluating MSRP and MrsP with the Multiprocessor Ravenscar Profile (JG, JZ, AA0, JAdlP), pp. 3–17.
ESEC-FSEESEC-FSE-2017-BunyakiatiP #commit
Cherry-picking of code commits in long-running, multi-release software (PB, CP), pp. 994–998.
ESEC-FSEESEC-FSE-2017-MaggioPFH #automation #using
Automated control of multiple software goals using multiple actuators (MM, AVP, AF, HH), pp. 373–384.
ESEC-FSEESEC-FSE-2017-SorensenED #algorithm #gpu #kernel
Cooperative kernels: GPU multitasking for blocking algorithms (TS0, HE, AFD), pp. 431–441.
GPCEGPCE-2017-GeG #programming #semantics
Refining semantics for multi-stage programming (RG0, RG), pp. 2–14.
GPCEGPCE-2017-OishiK #programming #staging #type safety
Staging with control: type-safe multi-stage programming with control operators (JO, YK), pp. 29–40.
SLESLE-2017-TendelooMMV #approach #modelling #syntax
Concrete syntax: a multi-paradigm modelling approach (YVT, SVM, BM, HV), pp. 182–193.
ASPLOSASPLOS-2017-CoxB #architecture #performance
Efficient Address Translation for Architectures with Multiple Page Sizes (GC, AB), pp. 435–448.
ASPLOSASPLOS-2017-ParkPM #performance #resource management
Dynamic Resource Management for Efficient Utilization of Multitasking GPUs (JJKP, YP, SAM), pp. 527–540.
ASPLOSASPLOS-2017-RajbhandariHRCC #optimisation #performance #scalability
Optimizing CNNs on Multicores for Scalability, Performance and Goodput (SR, YH, OR, MC, TMC), pp. 267–280.
CASECASE-2017-BaeM #markov #random
Markovian property for the delays in multiclass deterministic flow lines with random arrivals (SYB, JRM), pp. 729–730.
CASECASE-2017-BaoW #clustering #scheduling #tool support
Cyclic scheduling of multi-cluster tools based on equivalent processing modules (TB, HW), pp. 642–647.
CASECASE-2017-CarliD #distributed #grid #monitoring #smarttech #using
Using the distributed proximal alternating direction method of multipliers for smart grid monitoring (RC, MD), pp. 418–423.
CASECASE-2017-ChenWC #policy #probability
Steady state probability distribution of a two-product-type and multi-parallel-machine system under prioritized hedging point control policy (WC, ZW, FTSC), pp. 224–230.
CASECASE-2017-ChenWWWC #big data #classification #detection #fault
Big data analytic for multivariate fault detection and classification in semiconductor manufacturing (YJC, BCW, JZW, YCW, CFC), pp. 731–736.
CASECASE-2017-ChenZ #automation #detection #using
An automatic seizure detection method using multi-channel EEG signals (SC, XZ0), pp. 94–95.
CASECASE-2017-ChoiPR #algorithm #automation #scalability #synthesis
Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming (TC, TPP, AWR), pp. 1522–1527.
CASECASE-2017-ClementeFNSU #modelling #problem
Modelling and solving the multi-day container drayage problem (MC, MPF, MN, GS, WU), pp. 231–236.
CASECASE-2017-DengHWY #problem
Multi-point to multi-point multi-task fourth party logistics routing problem considering tardiness risk (LD, MH, DW, MY), pp. 1350–1355.
CASECASE-2017-DengLXJ #design #difference
Differentiation copayment design to improve the multi-tiered healthcare system in China (YD, NL, XX, ZJ), pp. 201–206.
CASECASE-2017-FangM #automation #energy
Energy-efficient elevating transfer vehicle routing for automated multi-level material handling systems (ZF, JM), pp. 249–254.
CASECASE-2017-JiaSYCYG #big data #data analysis #detection
Big-data analysis of multi-source logs for anomaly detection on network-based system (ZJ, CS0, XY, YC, TY, XG), pp. 1136–1141.
CASECASE-2017-KangMPJ #analysis #modelling
Multi-fidelity modeling for analysis of serial production lines (YK, LM, GP, FJ), pp. 30–35.
CASECASE-2017-KimPK #3d #scheduling
Scheduling 3D printers with multiple printing alternatives (JK, SSP, HJK), pp. 488–493.
CASECASE-2017-LiS0L #programming
Nonlinear programming for multi-vehicle motion planning with homotopy initialization strategies (BL, ZS, YZ0, PL), pp. 118–123.
CASECASE-2017-LongTJ #nondeterminism #optimisation
Multi-scale event-based optimization for matching uncertain wind supply with EV charging demand (TL, JXT, QSJ), pp. 847–852.
CASECASE-2017-MingJL0 #capacity #design
Multiple battery capacity design for EVs considering heterogeneous DVMT of different drivers (ZM, PJ, ZL, LL0), pp. 1663–1667.
CASECASE-2017-NagavalliCS #behaviour #on the #scheduling
On time-optimal behavior scheduling of robotic swarms for achieving multiple goals (SN, NC, KPS), pp. 1546–1553.
CASECASE-2017-NieGYG #energy #optimisation
Realizability guaranteed multi-timescale optimization decision for home energy management (ZN, FG, CBY, XG), pp. 875–881.
CASECASE-2017-ParedesSAC #energy
Study of effects of high-altitude environments on multicopter and fixed-wing UAVs' energy consumption and flight time (JAP, CS, MA, FC), pp. 1645–1650.
CASECASE-2017-RochollM #algorithm #order #problem #scheduling #search-based
Genetic algorithms for a single-machine multiple orders per job scheduling problem with a common due date (JR, LM), pp. 1038–1039.
CASECASE-2017-TanCT #automation #classification #evaluation #layout
Multiple binary classifiers to analyse decision of non-compliance: For automated evaluation of piping layout (WCT, IMC, HKT), pp. 80–85.
CASECASE-2017-WangPH0 #clustering #scheduling #tool support
Scheduling of single-arm cluster tools with multi-type wafers and shared PMs (JW, CP, HH, YZ0), pp. 1046–1051.
CASECASE-2017-WigstromMRL #energy #optimisation #performance
Computationally efficient energy optimization of multiple robots (OW, NM, SR, BL), pp. 515–522.
CASECASE-2017-WuWW #algorithm #estimation #graph
A t-level driven search for estimation of distribution algorithm in solving task graph allocation to multiprocessors (CW, LW0, JW), pp. 630–635.
CASECASE-2017-XiaoHTJ #approach
Containment control of multiagent systems: A DOBC approach (BX, TH, QT, TJ), pp. 1577–1580.
CASECASE-2017-YuanBZ #scheduling
Revenue-sensitive scheduling of multi-application tasks in software-defined cloud (HY, JB, MZ), pp. 1566–1571.
CASECASE-2017-ZhangH #algorithm #coordination
Cooperative bat searching algorithm: A combined perspective from multiagent coordination and swarm intelligence (HZ0, QH), pp. 1362–1367.
CASECASE-2017-ZhaoCDW #fault #learning #taxonomy
TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis (ZZ, XC, BD, SW), pp. 554–559.
CCCC-2017-NeykovaY
Let it recover: multiparty protocol-induced recovery (RN, NY), pp. 98–108.
CGOCGO-2017-CotaBBC
Cross-ISA machine emulation for multicores (EGC, PB, AB, LPC), pp. 210–220.
FASEFASE-2017-HuY
Explicit Connection Actions in Multiparty Session Types (RH, NY), pp. 116–133.
CAVCAV-2017-QuatmannJK #automaton #markov
Markov Automata with Multiple Objectives (TQ, SJ, JPK), pp. 140–159.
CAVCAV-2017-Ben-AmramG #on the #ranking
On Multiphase-Linear Ranking Functions (AMBA, SG), pp. 601–620.
ICSTICST-2017-ChanWSPS #analysis #concurrent #fault #invariant #named #source code #thread #using
IPA: Error Propagation Analysis of Multi-Threaded Programs Using Likely Invariants (AC, SW0, HS, KP, NS), pp. 184–195.
ICSTICST-2017-PouldingF17a #automation #random testing #testing
Automated Random Testing in Multiple Dispatch Languages (SMP, RF), pp. 333–344.
ICSTICST-2017-PradhanWAYL #algorithm #clustering #named #optimisation #search-based
CBGA-ES: A Cluster-Based Genetic Algorithm with Elitist Selection for Supporting Multi-Objective Test Optimization (DP, SW0, SA0, TY0, ML), pp. 367–378.
ICTSSICTSS-2017-Nguena-TimoPR #finite #mutation testing #state machine #testing
Multiple Mutation Testing from Finite State Machines with Symbolic Inputs (ONT, AP, SR), pp. 108–125.
VMCAIVMCAI-2017-ChakrabortyGJ
Matching Multiplications in Bit-Vector Formulas (SC, AG, RJ0), pp. 131–150.
CBSECBSE-2016-GallidabinoP #component #web
Deploying Stateful Web Components on Multiple Devices with Liquid.js for Polymer (AG, CP), pp. 85–90.
ECSAECSA-2016-BrogiCCDNGPPS #architecture #named
SeaClouds: An Open Reference Architecture for Multi-cloud Governance (AB, JC, JC, FD, EDN, MG, DP, EP, JS), pp. 334–338.
ECSAECSA-2016-HolsteinW #architecture #towards
Towards an Architecture for an UI-Compositor for Multi-OS Environments (TH, JW), pp. 138–145.
WICSAWICSA-2016-GarbaNB #named #scalability #variability
MUSA: A Scalable Multi-touch and Multi-perspective Variability Management Tool (MG, AN, RB), pp. 299–302.
WICSAWICSA-2016-MartiniB #agile #architecture #case study #framework #scalability
A Multiple Case Study of Continuous Architecting in Large Agile Companies: Current Gaps and the CAFFEA Framework (AM, JB), pp. 1–10.
EDMEDM-2016-DongKB #comparison #learning #mining #process
Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments (YD, JSK, GB), pp. 591–592.
EDMEDM-2016-LiuDS #data type #data-driven #towards #using
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement (RL0, JLD, JCS), pp. 436–441.
EDMEDM-2016-RenRJ #modelling #performance #predict #using
Predicting Performance on MOOC Assessments using Multi-Regression Models (ZR, HR, AJ), pp. 484–489.
EDMEDM-2016-Sande #component #learning #problem
Learning Curves for Problems with Multiple Knowledge Components (BvdS), pp. 523–526.
ICPCICPC-2016-BeckMW #comparison #composition #identification #visual notation
Identifying modularization patterns by visual comparison of multiple hierarchies (FB0, JM, DW), pp. 1–10.
ICPCICPC-2016-SanchezWS #java
Multistaging to understand: Distilling the essence of java code examples (HS, JW, MS), pp. 1–10.
ICSMEICSME-2016-WangL #adaptation #framework #optimisation #search-based #self
A Multiagent-Based Framework for Self-Adaptive Software with Search-Based Optimization (LW, QL), pp. 621–625.
ICSMEICSME-2016-WieseSSTG #ambiguity #heuristic #identification
Who is Who in the Mailing List? Comparing Six Disambiguation Heuristics to Identify Multiple Addresses of a Participant (ISW, JTdS, IS, CT, MAG), pp. 345–355.
ICSMEICSME-2016-ZhangLXLSS
Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model (YZ0, DL0, XX0, TDBL, GS, JS), pp. 110–121.
MSRMSR-2016-ZhuZM #dataset #issue tracking
Multi-extract and multi-level dataset of mozilla issue tracking history (JZ, MZ, HM), pp. 472–475.
SANERSANER-2016-FleckKMNPTW #case study #experience #reverse engineering #tool support
Experience Report on Building ASTM Based Tools for Multi-language Reverse Engineering (GF, WK, MM, LN, JP, RT, MW), pp. 683–687.
SANERSANER-2016-KochharWL #case study #programming language #quality #scalability
A Large Scale Study of Multiple Programming Languages and Code Quality (PSK, DW, DL0), pp. 563–573.
SANERSANER-2016-LiuLNBB #fault #modelling
Localizing Multiple Faults in Simulink Models (BL, L, SN, LCB, TB), pp. 146–156.
SANERSANER-2016-TakahashiN #refactoring
Composite Refactoring for Decoupling Multiple Classes (YT, NN), pp. 594–598.
SCAMSCAM-2016-MingW #concurrent #control flow #named #performance #profiling #thread
BinCFP: Efficient Multi-threaded Binary Code Control Flow Profiling (JM0, DW), pp. 61–66.
CIAACIAA-2016-Demaille #automaton
Derived-Term Automata of Multitape Rational Expressions (AD), pp. 51–63.
CIAACIAA-2016-Fujiyoshi #algorithm #automaton #problem
A Practical Algorithm for the Uniform Membership Problem of Labeled Multidigraphs of Tree-Width 2 for Spanning Tree Automata (AF), pp. 101–112.
DLTDLT-2016-Basten #ambiguity #automaton #detection #using
Context-Free Ambiguity Detection Using Multi-stack Pushdown Automata (HJSB), pp. 1–12.
DLTDLT-2016-Denkinger #automaton #context-free grammar
An Automata Characterisation for Multiple Context-Free Languages (TD), pp. 138–150.
FMFM-2016-ChandLS #distributed #verification
Formal Verification of Multi-Paxos for Distributed Consensus (SC, YAL, SDS), pp. 119–136.
FMFM-2016-DellabaniCBB #bound #interactive
Local Planning of Multiparty Interactions with Bounded Horizons (MD, JC, MB, SB), pp. 199–216.
FMFM-2016-JiangLSKGSS #design #formal method #modelling
Safety-Assured Formal Model-Driven Design of the Multifunction Vehicle Bus Controller (YJ0, HL0, HS, HK, MG0, JS, LS), pp. 757–763.
FMFM-2016-LiuJZGS #industrial #verification
Taming Interrupts for Verifying Industrial Multifunction Vehicle Bus Controllers (HL0, YJ0, HZ, MG0, JS), pp. 764–771.
FSCDFSCD-2016-Ahmed #compilation #composition #verification
Compositional Compiler Verification for a Multi-Language World (AA), p. 1.
IFM-2016-KovalovB
Avoiding Medication Conflicts for Patients with Multimorbidities (AK, JKFB), pp. 376–390.
IFM-2016-NazarpourFBBC #component #concurrent #monitoring #thread
Monitoring Multi-threaded Component-Based Systems (HN, YF, SB, MB, JC), pp. 141–159.
AIIDEAIIDE-2016-DebkowskiMYYYFK #behaviour #collaboration #game studies #named #online #using
Contained: Using Multiplayer Online Games to Quantify Success of Collaborative Group Behavior (DD, AM, NY, LY, YY, SF, MK), pp. 149–154.
AIIDEAIIDE-2016-MinBMRLHL #evaluation #framework #recognition
A Generalized Multidimensional Evaluation Framework for Player Goal Recognition (WM, AB, BWM, JPR, BL, EH, JCL), pp. 197–203.
CHI-PLAYCHI-PLAY-2016-Baldwin0W #game studies #named #video
Crowd-Pleaser: Player Perspectives of Multiplayer Dynamic Difficulty Adjustment in Video Games (AB0, DMJ0, PW), pp. 326–337.
CHI-PLAYCHI-PLAY-2016-HarrisHS #design #game studies #symmetry
Leveraging Asymmetries in Multiplayer Games: Investigating Design Elements of Interdependent Play (JH, MSH, SDS), pp. 350–361.
CoGCIG-2016-KurekJ
Heterogeneous team deep q-learning in low-dimensional multi-agent environments (MK, WJ), pp. 1–8.
CoGCIG-2016-LopesLY #generative #named
Sonancia: A multi-faceted generator for horror (PLL, AL, GNY), pp. 1–2.
CoGCIG-2016-SchmittK #algorithm #search-based #simulation
A multi-objective genetic algorithm for simulating optimal fights in StarCraft II (JS, HK), pp. 1–8.
DiGRADiGRA-FDG-2016-BergstromCJ #game studies #online #question #what
Digital Detritus: What Can We Learn From Abandoned Massively Multiplayer Online Game Avatars? (KB, SdC, JJ).
DiGRADiGRA-FDG-2016-NguyenZ #contest #game studies
Good Violence, Bad Violence: The Ethics of Competition in Multiplayer Games (CTN, JPZ).
CoGVS-Games-2016-ColasTRMB #named #physics
Yoway: Coupling Narrative Structure with Physical Exploration in Multi-Linear Locative Narratives (JC, AT, VR, AM, JB), pp. 1–7.
CoGVS-Games-2016-SajjadiVT #design #formal method #game studies
Evidence-Based Mapping between the Theory of Multiple Intelligences and Game Mechanics for the Purpose of Player-Centered Serious Game Design (PS, JV, ODT), pp. 1–8.
CoGVS-Games-2016-SlimaniEEB #collaboration #design #framework #game studies
Evaluation-Driven Design for Serious Games, the Multilayer Methodology and Collaborative Framework (AS, LE, FE, MB), pp. 1–3.
CIKMCIKM-2016-0001H #adaptation #interactive #learning #named #using
aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers (XL0, JH), pp. 1171–1180.
CIKMCIKM-2016-0064NRR #detection #framework #identification #learning
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events (WW0, YN, HR, NR), pp. 509–518.
CIKMCIKM-2016-BrostSCL #evaluation #online
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation (BB, YS, IJC, CL), pp. 2161–2166.
CIKMCIKM-2016-ChandraHKA #adaptation #classification #framework
An Adaptive Framework for Multistream Classification (SC, AH, LK, CCA), pp. 1181–1190.
CIKMCIKM-2016-ChenLYWLZ #graph #keyword #performance #query
Efficient Batch Processing for Multiple Keyword Queries on Graph Data (LC, CL, XY0, BW0, JL, RZ0), pp. 1261–1270.
CIKMCIKM-2016-JiWZ #online #probability
A Probabilistic Multi-Touch Attribution Model for Online Advertising (WJ, XW, DZ), pp. 1373–1382.
CIKMCIKM-2016-KraviGMCMPT #analysis #query
One Query, Many Clicks: Analysis of Queries with Multiple Clicks by the Same User (EK, IG, AM, DC, YM, DP, GT), pp. 1423–1432.
CIKMCIKM-2016-LiLF #approach #classification
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach (SL0, YL, YF0), pp. 989–998.
CIKMCIKM-2016-LiRM #query
Multiple Queries as Bandit Arms (CL0, PR, QM), pp. 1089–1098.
CIKMCIKM-2016-NguyenGMD #identification
Multiple Infection Sources Identification with Provable Guarantees (HTN0, PG, MLM, TND), pp. 1663–1672.
CIKMCIKM-2016-RenIAR #social #summary
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams (ZR, OI, LA, MdR), pp. 387–396.
CIKMCIKM-2016-RossiZ #network #scalability
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks (RAR, RZ0), pp. 1783–1792.
CIKMCIKM-2016-ShiLBX #topic
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity (BS, WL, LB, YX), pp. 2293–2298.
CIKMCIKM-2016-SoleimaniM #classification #documentation #modelling #topic
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling (HS, DJM0), pp. 105–114.
CIKMCIKM-2016-WangSYLFXB
Truth Discovery via Exploiting Implications from Multi-Source Data (XW0, QZS, LY, XL0, XSF, XX, BB), pp. 861–870.
CIKMCIKM-2016-WangSYLFXB16a #predict
Empowering Truth Discovery with Multi-Truth Prediction (XW0, QZS, LY, XL0, XSF, XX, BB), pp. 881–890.
CIKMCIKM-2016-WuWHHQ #adaptation #sentiment
Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge (FW, SW, YH, SH, YQ), pp. 949–958.
CIKMCIKM-2016-YuSHCH #analysis #data-driven #quantifier #sentiment
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis (HY, JS, MH, MC, JH0), pp. 939–948.
CIKMCIKM-2016-ZhangTL #clustering #network
Clustering Speed in Multi-lane Traffic Networks (BZ, GT, FL), pp. 2045–2048.
CIKMCIKM-2016-ZhangXLGFY #predict
Multi-source Hierarchical Prediction Consolidation (CZ, SX, YL, JG0, WF0, PSY), pp. 2251–2256.
CIKMCIKM-2016-ZhengW #graph #learning
Graph-Based Multi-Modality Learning for Clinical Decision Support (ZZ, XW0), pp. 1945–1948.
ECIRECIR-2016-BalikasA #classification #using
Multi-label, Multi-class Classification Using Polylingual Embeddings (GB, MRA), pp. 723–728.
ECIRECIR-2016-ChaliU #semantics #summary
Multi-document Summarization Based on Atomic Semantic Events and Their Temporal Relationships (YC, MU), pp. 366–377.
ECIRECIR-2016-FlaesRW #analysis #sentiment #what
What Multimedia Sentiment Analysis Says About City Liveability (JBF, SR, MW), pp. 824–829.
ECIRECIR-2016-GaluscakovaSP #named
SHAMUS: UFAL Search and Hyperlinking Multimedia System (PG, SS, PP), pp. 853–856.
ECIRECIR-2016-HamidHT #summary
Evaluating Text Summarization Systems with a Fair Baseline from Multiple Reference Summaries (FH, DH, PT), pp. 351–365.
ECIRECIR-2016-IencoRRRT #learning #mining #modelling
MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality (DI, MR, SR, PR, AT), pp. 869–873.
ECIRECIR-2016-OosterhuisSR #probability
Probabilistic Multileave Gradient Descent (HO, AS, MdR), pp. 661–668.
ECIRECIR-2016-Renders #adaptation #collaboration
Adaptive Collaborative Filtering with Extended Kalman Filters and Multi-armed Bandits (JMR), pp. 626–638.
ECIRECIR-2016-WangGLXC #learning #predict #representation
Multi-task Representation Learning for Demographic Prediction (PW, JG, YL, JX0, XC), pp. 88–99.
ECIRECIR-2016-ZhangDW #case study #category theory #learning #predict
Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction (WZ0, TD, JW0), pp. 45–57.
ICMLICML-2016-AroraMM #learning #optimisation #probability #representation #using
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares (RA, PM, TVM), pp. 1786–1794.
ICMLICML-2016-BauerSP
The Arrow of Time in Multivariate Time Series (SB, BS, JP), pp. 2043–2051.
ICMLICML-2016-ChenG #problem #scalability
Scalable Discrete Sampling as a Multi-Armed Bandit Problem (YC, ZG), pp. 2492–2501.
ICMLICML-2016-DaiB
The knockoff filter for FDR control in group-sparse and multitask regression (RD, RB), pp. 1851–1859.
ICMLICML-2016-DegenneP #algorithm #probability
Anytime optimal algorithms in stochastic multi-armed bandits (RD, VP), pp. 1587–1595.
ICMLICML-2016-ElhoseinyEBE #analysis #categorisation #comparative #estimation #modelling
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation (ME, TEG, AB, AME), pp. 888–897.
ICMLICML-2016-GuanRW #learning #markov #performance #process #recognition #using
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model (XG, RR, WKW), pp. 2330–2339.
ICMLICML-2016-HammCB #learning
Learning privately from multiparty data (JH, YC, MB), pp. 555–563.
ICMLICML-2016-Hernandez-Lobato #optimisation #predict
Predictive Entropy Search for Multi-objective Bayesian Optimization (DHL, JMHL, AS, RPA), pp. 1492–1501.
ICMLICML-2016-HwangTC #automation #modelling #parametricity #relational
Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series (YH, AT, JC), pp. 3030–3039.
ICMLICML-2016-InouyeRD #dependence #exponential #modelling #product line #visual notation
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies (DII, PR, ISD), pp. 2445–2453.
ICMLICML-2016-JunN #using
Anytime Exploration for Multi-armed Bandits using Confidence Information (KSJ, RDN), pp. 974–982.
ICMLICML-2016-KapralovPW #how #matrix
How to Fake Multiply by a Gaussian Matrix (MK, VKP, DPW), pp. 2101–2110.
ICMLICML-2016-KatariyaKSW #learning #rank
DCM Bandits: Learning to Rank with Multiple Clicks (SK, BK, CS, ZW), pp. 1215–1224.
ICMLICML-2016-LeeYH #learning #symmetry
Asymmetric Multi-task Learning based on Task Relatedness and Confidence (GL, EY, SJH), pp. 230–238.
ICMLICML-2016-LinCR
Generalization Properties and Implicit Regularization for Multiple Passes SGM (JL, RC, LR), pp. 2340–2348.
ICMLICML-2016-LiOW #network
Multi-Bias Non-linear Activation in Deep Neural Networks (HL, WO, XW0), pp. 221–229.
ICMLICML-2016-LiuY #learning
Cross-Graph Learning of Multi-Relational Associations (HL, YY), pp. 2235–2243.
ICMLICML-2016-LiWPA #classification
Conditional Bernoulli Mixtures for Multi-label Classification (CL, BW, VP, JAA), pp. 2482–2491.
ICMLICML-2016-MartinsA #classification
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification (AFTM, RFA), pp. 1614–1623.
ICMLICML-2016-Metzen #optimisation
Minimum Regret Search for Single- and Multi-Task Optimization (JHM), pp. 192–200.
ICMLICML-2016-NatarajanKRD #classification
Optimal Classification with Multivariate Losses (NN, OK, PR, ISD), pp. 1530–1538.
ICMLICML-2016-PodosinnikovaBL #modelling
Beyond CCA: Moment Matching for Multi-View Models (AP, FRB, SLJ), pp. 458–467.
ICMLICML-2016-RiemerVCHHK
Correcting Forecasts with Multifactor Neural Attention (MR, AV, FdPC, FFTHI, RH0, EK), pp. 3010–3019.
ICMLICML-2016-RosenskiSS #approach
Multi-Player Bandits - a Musical Chairs Approach (JR, OS, LS), pp. 155–163.
ICMLICML-2016-YenHRZD #approach #classification
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification (IEHY, XH, PR, KZ, ISD), pp. 3069–3077.
ICMLICML-2016-YenLZRD #approach #sequence
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery (IEHY, XL, JZ, PR, ISD), pp. 2272–2280.
ICMLICML-2016-YuL #learning #performance
Learning from Multiway Data: Simple and Efficient Tensor Regression (RY, YL0), pp. 373–381.
ICPRICPR-2016-AhmedK #learning #taxonomy
Coupled multiple dictionary learning based on edge sharpness for single-image super-resolution (JA, RK), pp. 3838–3843.
ICPRICPR-2016-Alonso-Fernandez #recognition #using
Compact multi-scale periocular recognition using SAFE features (FAF, AM, JB), pp. 1455–1460.
ICPRICPR-2016-AlvenKLLU #segmentation
Shape-aware multi-atlas segmentation (JA, FK, ML, VL, JU), pp. 1101–1106.
ICPRICPR-2016-AncutiAVGB
Multi-scale underwater descattering (CA, COA, CDV, RG, ACB), pp. 4202–4207.
ICPRICPR-2016-BergamascoCSAT #estimation #segmentation
Dense multi-view homography estimation and plane segmentation (FB, LC, MS, AA, AT), pp. 3739–3744.
ICPRICPR-2016-BertoliniOS #difference #identification #using
Multi-script writer identification using dissimilarity (DB, LSO, RS), pp. 3025–3030.
ICPRICPR-2016-BorghiVC #3d #gesture #performance #recognition
Fast gesture recognition with Multiple Stream Discrete HMMs on 3D skeletons (GB, RV, RC), pp. 997–1002.
ICPRICPR-2016-Brandtberg #analysis #classification #fourier #fuzzy #order #rank #using
Virtual hexagonal and multi-scale operator for fuzzy rank order texture classification using one-dimensional generalised Fourier analysis (TB), pp. 2018–2024.
ICPRICPR-2016-CabreraFS #evaluation #variability
Approaching the intra-class variability in multi-script static signature evaluation (MDC, MAF, RS), pp. 1147–1152.
ICPRICPR-2016-CarbonneauGG #identification #learning #random #using
Witness identification in multiple instance learning using random subspaces (MAC, EG, GG), pp. 3639–3644.
ICPRICPR-2016-ChenWWGSJ #hybrid #video
Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses (SC, SW, CW, ZG, XS, QJ), pp. 295–300.
ICPRICPR-2016-ChoiKPS #detection #network
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks (HC, SK, KP, KS), pp. 621–626.
ICPRICPR-2016-CorniaBSC #network #predict
A deep multi-level network for saliency prediction (MC, LB, GS0, RC), pp. 3488–3493.
ICPRICPR-2016-CosmoABTRC #approach #image
A game-theoretical approach for joint matching of multiple feature throughout unordered images (LC, AA, FB, AT, ER, DC), pp. 3715–3720.
ICPRICPR-2016-DaiDCLY #rank #representation #segmentation #using
Object segmentation using low-rank representation with multiple block-diagonal priors (LD, JD, JC, JL0, JY0), pp. 1959–1964.
ICPRICPR-2016-DaoodRB #classification #recognition #using
Pollen recognition using a multi-layer hierarchical classifier (AD, ER, MB), pp. 3091–3096.
ICPRICPR-2016-DasguptaN #classification #fine-grained
Leveraging multiple tasks to regularize fine-grained classification (RD, AMN), pp. 3476–3481.
ICPRICPR-2016-EscalanteP0RCCE #analysis #challenge #contest #overview #perspective #visual notation
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview (HJE, VPL, JW0, MAR, BC, AC, SE, IG, XB, PH, HM, MAL), pp. 67–73.
ICPRICPR-2016-EumD #evaluation #using
Content selection using frontalness evaluation of multiple frames (SE, DSD), pp. 3404–3409.
ICPRICPR-2016-FanWH #adaptation #learning
Multi-stage multi-task feature learning via adaptive threshold (YF, YW, TZH), pp. 1666–1671.
ICPRICPR-2016-FaulhammerZPV
A multi-modal RGB-D object recognizer (TF, MZ, JP, MV), pp. 733–738.
ICPRICPR-2016-FeiWZYZ #image
Local multiple directional pattern of palmprint image (LF, JW, ZZ0, KY0, ZZ), pp. 3013–3018.
ICPRICPR-2016-FengSZ #detection
Scene text detection based on multi-scale SWT and edge filtering (YF, YS, YZ0), pp. 645–650.
ICPRICPR-2016-FilipovychDRB #image #recognition #sequence
Pollen recognition in optical microscopy by matching multifocal image sequences (RF, AD, ER, MB), pp. 2127–2132.
ICPRICPR-2016-FioriMF #classification #design
An optimal multiclass classifier design (MF, MDM, AF), pp. 480–485.
ICPRICPR-2016-GligorijevicPZ #community #detection #graph
Fusion and community detection in multi-layer graphs (VG, YP, SZ), pp. 1327–1332.
ICPRICPR-2016-GuoCL #learning
Multi-label learning with globAl densiTy fusiOn Mapping features (YG, FC, GL0), pp. 462–467.
ICPRICPR-2016-IshiiSIMSIN #classification #detection
Detection by classification of buildings in multispectral satellite imagery (TI, ESS, SI, YM, AS, HI0, RN), pp. 3344–3349.
ICPRICPR-2016-JiaoZ #learning #taxonomy #using
Multiple Instance Dictionary Learning using Functions of Multiple Instances (CJ, AZ), pp. 2688–2693.
ICPRICPR-2016-JordaoSS #approach #detection
A late fusion approach to combine multiple pedestrian detectors (AJ, JSdS, WRS), pp. 4250–4255.
ICPRICPR-2016-KanehiraSH #learning #scalability
True-negative label selection for large-scale multi-label learning (AK, AS, TH), pp. 3673–3678.
ICPRICPR-2016-KaremF #concept #learning
Multiple Instance Learning with multiple positive and negative target concepts (AK, HF), pp. 474–479.
ICPRICPR-2016-KhelifiM #approach #image #problem #segmentation
A multi-objective approach based on TOPSIS to solve the image segmentation combination problem (LK, MM), pp. 4220–4225.
ICPRICPR-2016-KimuraKSK #classification #performance #random #scalability
Fast random k-labELsets for large-scale multi-label classification (KK, MK, LS, SK), pp. 438–443.
ICPRICPR-2016-KobayashiO #component #image
Separating reflection components in images under multispectral and multidirectional light sources (NK, TO), pp. 3210–3215.
ICPRICPR-2016-KohjimaMS #matrix
Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences (MK, TM, HS), pp. 2515–2520.
ICPRICPR-2016-KudoKHT #visualisation
Simultaneous visualization of samples, features and multi-labels (MK, KK, MH, HT), pp. 3603–3608.
ICPRICPR-2016-LanglardSLCD #recognition
A multiscale method for shape recognition of overlapping elliptical particles (MDL, HAS, FL, SC, JD), pp. 692–697.
ICPRICPR-2016-Li0RNVAL #predict
Multiple adverse effects prediction in longitudinal cancer treatment (CL0, SG0, SR, VN0, SV, DA, TL), pp. 3156–3161.
ICPRICPR-2016-LiaoLL #classification #network #robust #using
Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks (HL, YL, JL), pp. 355–360.
ICPRICPR-2016-LiaoQL #image #learning
Semisupervised manifold learning for color transfer between multiview images (DL, YQ, ZNL), pp. 259–264.
ICPRICPR-2016-LimK #approach #feature model #optimisation
Convex optimization approach for multi-label feature selection based on mutual information (HL, DWK), pp. 1512–1517.
ICPRICPR-2016-LittwinW #complexity #network
Complexity of multiverse networks and their multilayer generalization (EL, LW), pp. 372–377.
ICPRICPR-2016-Liu16a #classification #learning #network #scalability
Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPRICPR-2016-LiuNZWL #automation #clustering
Unsupervised automatic attribute discovery method via multi-graph clustering (LL, FN, TZ, AW, BCL), pp. 1713–1718.
ICPRICPR-2016-LuoGPWY #locality #mobile #using
Accurate localization for mobile device using a multi-planar city model (YL, TG, HP, YW, JY), pp. 3733–3738.
ICPRICPR-2016-LyuSZB #image #network
Distinguishing text/non-text natural images with Multi-Dimensional Recurrent Neural Networks (PL, BS, CZ, XB), pp. 3981–3986.
ICPRICPR-2016-MaddalenaP #image
Extracting a background image by a multi-modal scene background model (LM0, AP), pp. 143–148.
ICPRICPR-2016-NguyenNVP #clustering #named #parametricity #semistructured data
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data (TBN, VN0, SV, DQP), pp. 3633–3638.
ICPRICPR-2016-Norov-ErdeneKSK #classification #locality #problem
Locality in multi-label classification problems (BNE, MK, LS, KK), pp. 2319–2324.
ICPRICPR-2016-OgawaMDCFH #adaptation #performance #predict
A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation (TO, SHRM, ED, JC, NHF, HH), pp. 2222–2227.
ICPRICPR-2016-Ohn-BarT #detection #locality #modelling
Detection and localization with multi-scale models (EOB, MMT), pp. 1382–1387.
ICPRICPR-2016-OnZEB #pattern matching #pattern recognition #recognition #using
Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy (VO, AZ, IE, BB), pp. 2042–2047.
ICPRICPR-2016-OrtegoSM #dataset #estimation #re-engineering
Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset (DO, JCS, JMM0), pp. 114–119.
ICPRICPR-2016-PalCGCC #learning #using
Severity grading of psoriatic plaques using deep CNN based multi-task learning (AP, AC, UG, AC, RC), pp. 1478–1483.
ICPRICPR-2016-PandaDR #network #summary #video
Video summarization in a multi-view camera network (RP, AD, AKRC), pp. 2971–2976.
ICPRICPR-2016-PangN #3d #detection #network
3D point cloud object detection with multi-view convolutional neural network (GP, UN), pp. 585–590.
ICPRICPR-2016-PeiYKY #detection
Multi-orientation scene text detection with multi-information fusion (WYP, CY, LJK, XCY), pp. 657–662.
ICPRICPR-2016-PironkovDD #automation #learning #recognition #speech
Speaker-aware Multi-Task Learning for automatic speech recognition (GP, SD, TD), pp. 2900–2905.
ICPRICPR-2016-PistellatoABT #robust
Robust joint selection of camera orientations and feature projections over multiple views (MP, AA, FB, AT), pp. 3703–3708.
ICPRICPR-2016-PuZZ #network
Structure and appearance preserving network flow for multi-object tracking (SP, HZ, KZ), pp. 1804–1808.
ICPRICPR-2016-PuZZDY #approximate #clustering #matrix #robust
Multiview clustering based on Robust and Regularized Matrix Approximation (JP, QZ0, LZ, BD, JY), pp. 2550–2555.
ICPRICPR-2016-RaiNCD #clustering #graph #using
Partial Multi-View Clustering using Graph Regularized NMF (NR, SN, SC, OD), pp. 2192–2197.
ICPRICPR-2016-RakicevicRPP #estimation #random
Multi-modal Neural Conditional Ordinal Random Fields for agreement level estimation (NR, OR, SP, MP), pp. 2228–2233.
ICPRICPR-2016-SahooA0 #approach #automation #clustering #generative #using
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach (PS, SA, SS0), pp. 2174–2179.
ICPRICPR-2016-SaikiaSSKG #analysis #kernel #learning #using
Multiple kernel learning using data envelopment analysis and feature vector selection and projection (GS, SS, VVS, RDK, PG), pp. 520–524.
ICPRICPR-2016-SalaunMM16a #detection #robust
Multiscale line segment detector for robust and accurate SfM (YS, RM, PM), pp. 2000–2005.
ICPRICPR-2016-ShkvarkoLAG #data fusion
Intelligent neural computing-based way for multi-sensor imaging radar data fusion (YVS, JALR, SRSA, GGT), pp. 757–762.
ICPRICPR-2016-SiddiquiBDAVSR #anti
Face anti-spoofing with multifeature videolet aggregation (TAS, SB, TID, AA0, MV, RS0, NKR), pp. 1035–1040.
ICPRICPR-2016-SidibeRM #detection #on the #using
On spatio-temporal saliency detection in videos using multilinear PCA (DS, MR, FM), pp. 1876–1880.
ICPRICPR-2016-SorelB #performance
Efficient JPEG decompression by the alternating direction method of multipliers (MS, MB), pp. 271–276.
ICPRICPR-2016-SubramanianR0SV #parametricity
Bayesian nonparametric Multiple Instance Regression (SS, SR, SG0, PBS, CSV, SV), pp. 3661–3666.
ICPRICPR-2016-SunHLK #learning #network #recognition
Multiple Instance Learning Convolutional Neural Networks for object recognition (MS, TXH, MCL, AKR), pp. 3270–3275.
ICPRICPR-2016-SunKK #classification
Multi-label classification with meta-label-specific features (LS, MK, KK), pp. 1612–1617.
ICPRICPR-2016-SuzuuchiK #analysis #behaviour
Location-associated indoor behavior analysis of multiple persons (SS, MK), pp. 2079–2084.
ICPRICPR-2016-TakahashiIKOM #robust #using
Robust volleyball tracking system using multi-view cameras (MT, KI, MK, HO, TM), pp. 2740–2745.
ICPRICPR-2016-TripathyCNP #invariant #recognition
A scale and rotation invariant scheme for multi-oriented Character Recognition (NT, TC, MN, UP0), pp. 4041–4046.
ICPRICPR-2016-WangLHX #clustering #image #representation
Manifold Regularized Multi-view Subspace Clustering for image representation (LW0, DL, TH, ZX), pp. 283–288.
ICPRICPR-2016-WuWJ #learning #recognition
Multiple Facial Action Unit recognition by learning joint features and label relations (SW, SW, QJ), pp. 2246–2251.
ICPRICPR-2016-XueB #learning
Multi-task learning for one-class SVM with additional new features (YX, PB), pp. 1571–1576.
ICPRICPR-2016-XuLHWLWHC #3d #image #retrieval #using #word
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images (YX, LL, HH, DW, YL, JW0, XHH, YWC), pp. 2282–2287.
ICPRICPR-2016-XuSARS #learning #recognition #retrieval #taxonomy
Multi-Paced Dictionary Learning for cross-domain retrieval and recognition (DX0, JS, XAP, ER0, NS), pp. 3228–3233.
ICPRICPR-2016-YamashitaFYF #detection #network #using
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network (TY, HF, YY, HF), pp. 3500–3505.
ICPRICPR-2016-YangN #detection #network
A multi-scale cascade fully convolutional network face detector (ZY, RN), pp. 633–638.
ICPRICPR-2016-YangWWJ #recognition
Multiple facial action unit recognition enhanced by facial expressions (JY, SW, SW, QJ), pp. 4089–4094.
ICPRICPR-2016-YaoXG #image #rank
A rank minimization-based late fusion method for multi-label image annotation (YY0, XX0, PG0), pp. 847–852.
ICPRICPR-2016-YeLYZ #clustering #kernel
Co-regularized kernel k-means for multi-view clustering (YY, XL, JY, EZ), pp. 1583–1588.
ICPRICPR-2016-YodaNTKYK #image #using
Dynamic photometric stereo method using multi-tap CMOS image sensor (TY, HN, RiT, KK, KY, SK), pp. 2356–2361.
ICPRICPR-2016-YorukOA #estimation #performance #recognition
An efficient Hough transform for multi-instance object recognition and pose estimation (EY, KTO, CBA), pp. 1352–1357.
ICPRICPR-2016-YuLC #using
Recognizing text in historical maps using maps from multiple time periods (RY, ZL, YYC), pp. 3993–3998.
ICPRICPR-2016-ZhaoZWJ #learning
Multilingual articulatory features augmentation learning (YZ, RZ, XW0, QJ), pp. 2895–2899.
ICPRICPR-2016-ZhengLZW #image #using
Multi-focus image fusion using quaternion wavelet transform (XNZ, XL, ZZ, XJW), pp. 883–888.
KDDKDD-2016-BertensVS #sequence
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns (RB, JV, AS), pp. 735–744.
KDDKDD-2016-ChenTXYH #dependence #named #network #performance
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks (CC0, HT, LX, LY, QH), pp. 765–774.
KDDKDD-2016-ChoiBSCTBTS #concept #learning #representation
Multi-layer Representation Learning for Medical Concepts (EC, MTB, ES, CC, MT, JB, JTS, JS), pp. 1495–1504.
KDDKDD-2016-GeyikFSOK #metric #online #optimisation #performance #video
Joint Optimization of Multiple Performance Metrics in Online Video Advertising (SCG, SF, JS, SO, SK), pp. 471–480.
KDDKDD-2016-HaPK #categorisation #e-commerce #network #scalability #using
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks (JH, HP, JK), pp. 107–115.
KDDKDD-2016-JainPV #ranking #recommendation
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications (HJ, YP, MV), pp. 935–944.
KDDKDD-2016-JiangFH #behaviour #named #representation
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors (MJ0, CF, JH0), pp. 945–954.
KDDKDD-2016-LinXBJZ #feature model #interactive #learning
Multi-Task Feature Interaction Learning (KL, JX, IMB, SJ, JZ), pp. 1735–1744.
KDDKDD-2016-LiuSCX #optimisation
Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization (JL, LS, WC0, HX), pp. 1005–1014.
KDDKDD-2016-LiWYR #analysis #learning
A Multi-Task Learning Formulation for Survival Analysis (YL, JW0, JY, CKR), pp. 1715–1724.
KDDKDD-2016-NieGY #predict
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression (ZN, PG, JY), pp. 1795–1804.
KDDKDD-2016-NingMRR #learning #modelling
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning (YN, SM, HR, NR), pp. 1095–1104.
KDDKDD-2016-Shi0CTGR #network #scalability #social
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay (YS, MK0, SC, MT, SG, RR), pp. 1855–1864.
KDDKDD-2016-TangLCA #empirical #feedback #recommendation
An Empirical Study on Recommendation with Multiple Types of Feedback (LT, BL, BCC, DA), pp. 283–292.
KDDKDD-2016-WebbP #statistics #testing
A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests (GIW, FP), pp. 1255–1264.
KDDKDD-2016-XuT0 #learning #robust
Robust Extreme Multi-label Learning (CX0, DT, CX0), pp. 1275–1284.
KDDKDD-2016-ZengWML #online #recommendation
Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit (CZ, QW, SM, TL0), pp. 2025–2034.
KDDKDD-2016-ZhangWZWLSJ #collaboration
Collaborative Multi-View Denoising (LZ, SW, XZ0, YW, BL, DS, SJ), pp. 2045–2054.
KDDKDD-2016-ZhaoLWGC #perspective
Portfolio Selections in P2P Lending: A Multi-Objective Perspective (HZ, QL0, GW, YG, EC), pp. 2075–2084.
KDDKDD-2016-ZhaoYCLR #learning
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting (LZ0, JY, FC0, CTL, NR), pp. 2085–2094.
BXBX-2016-GottmannNE0E #modelling #towards
Towards the Propagation of Model Updates along different Views in Multi-View Models (SG, NN, CE, FH0, TE0), pp. 45–60.
ECMFAECMFA-2016-KessentiniSW #approach #automation #co-evolution #metamodelling #optimisation #using
Automated Metamodel/Model Co-evolution Using a Multi-objective Optimization Approach (WK, HAS, MW), pp. 138–155.
ECMFAECMFA-2016-KonigD #consistency
Advanced Local Checking of Global Consistency in Heterogeneous Multimodeling (HK, ZD), pp. 19–35.
ICMTICMT-2016-TrollmannA #graph grammar #modelling
Extending Model Synchronization Results from Triple Graph Grammars to Multiple Models (FT, SA), pp. 91–106.
MoDELSMoDELS-2016-ChabotPN #design #testing
A requirement driven testing method for multi-disciplinary system design (MC, LP, ANM), pp. 396–405.
MoDELSMoDELS-2016-FangLDE #automation #industrial #modelling #variability
Multi-variability modeling and realization for software derivation in industrial automation management (MF, GL, JD, CE), pp. 2–12.
MoDELSMoDELS-2016-PrehoferWJ #approach #interactive #modelling
A model-based approach for multi-device user interactions (CP, AW, YJ), pp. 13–23.
MoDELSMoDELS-2016-SomogyiSG #formal method #simulation
Formalizing knowledge in multi-scale agent-based simulations (ETS, JPS, JAG), pp. 115–122.
MoDELSMoDELS-2016-SzarnyasKSV #evaluation #graph #metric #modelling #towards
Towards the characterization of realistic models: evaluation of multidisciplinary graph metrics (GS, ZK, ÁS, DV), pp. 87–94.
PLDIPLDI-2016-HongB0KPRRS #array #effectiveness
Effective padding of multidimensional arrays to avoid cache conflict misses (CH, WB, AC0, SK, LNP, FR, JR, PS), pp. 129–144.
POPLPOPL-2016-SwamyHKRDFBFSKZ #dependent type
Dependent types and multi-monadic effects in F (NS, CH, CK, AR, ADL, SF, KB, CF, PYS, MK, JKZ, SZB), pp. 256–270.
ASEASE-2016-AbdessalemNBS #network #testing #using
Testing advanced driver assistance systems using multi-objective search and neural networks (RBA, SN, LCB, TS), pp. 63–74.
ASEASE-2016-AlmhanaMK0 #debugging #recommendation #using
Recommending relevant classes for bug reports using multi-objective search (RA, WM, MK, AO), pp. 286–295.
ASEASE-2016-BaekB #android #automation #comparison #modelling #testing #user interface #using
Automated model-based Android GUI testing using multi-level GUI comparison criteria (YMB, DHB), pp. 238–249.
ASEASE-2016-DemuthRE #consistency #detection #developer #nondeterminism #performance
Efficient detection of inconsistencies in a multi-developer engineering environment (AD, MRE, AE), pp. 590–601.
ASEASE-2016-FengJCF #comprehension #image #using
Multi-objective test report prioritization using image understanding (YF, JAJ, ZC, CF), pp. 202–213.
ASEASE-2016-PeldszusKLS #design #detection #evolution #incremental #object-oriented #pattern matching #source code #using
Continuous detection of design flaws in evolving object-oriented programs using incremental multi-pattern matching (SP, GK, ML, SS), pp. 578–589.
FSEFSE-2016-KangMJ #analysis #security
Multi-representational security analysis (EK, AM, DJ0), pp. 181–192.
FSEFSE-2016-ShevtsovW #adaptation #self
Keep it SIMPLEX: satisfying multiple goals with guarantees in control-based self-adaptive systems (SS, DW), pp. 229–241.
ICSE-2016-MechtaevYR #analysis #named #scalability #synthesis
Angelix: scalable multiline program patch synthesis via symbolic analysis (SM, JY, AR), pp. 691–701.
ICSE-2016-SarroPH #estimation
Multi-objective software effort estimation (FS, AP, MH), pp. 619–630.
ICSE-2016-SultanaMOH #comprehension #fortran
Understanding and fixing multiple language interoperability issues: the C/Fortran case (NS, JM, JO, MH), pp. 772–783.
ICSE-2016-SunZZZ #equivalence #integer #named
IntEQ: recognizing benign integer overflows via equivalence checking across multiple precisions (HS, XZ0, YZ, QZ), pp. 1051–1062.
ICSE-2016-VasilescuBXCDDF #git
The sky is not the limit: multitasking across GitHub projects (BV, KB, QX, CC, DED, PTD, VF), pp. 994–1005.
ASPLOSASPLOS-2016-HajjMZMAFHRS #named #programming
SpaceJMP: Programming with Multiple Virtual Address Spaces (IEH, AM, GZ, DSM, RA, PF, WmWH, TR, KS), pp. 353–368.
CASECASE-2016-AboutalebBST #optimisation
Systematic optimization of Laser-based Additive Manufacturing for multiple mechanical properties (AMA, LB, NS, SMT), pp. 780–785.
CASECASE-2016-KabirLSRZKMG #algorithm #tool support
Planning algorithms for multi-setup multi-pass robotic cleaning with oscillatory moving tools (AMK, JDL, SS, VSR, CZ, KNK, JAM, SKG), pp. 751–757.
CASECASE-2016-KatoSHO #calculus #development #ide #modelling
Integrated development environment for the multiple ambient calculus for modeling freight systems (TK, MS, MH, HO), pp. 367–372.
CASECASE-2016-LiuT #distributed #hybrid #network #using
Distributed vision network for multiple target tracking using a dynamic hybrid consensus filter (GL, GT), pp. 805–808.
CASECASE-2016-McKinleyGSGMJGB #automation
An interchangeable surgical instrument system with application to supervised automation of multilateral tumor resection (SM, AG, SS, DVG, JPM, YJ, MG, WDB, KG), pp. 821–826.
CASECASE-2016-Perez-ImazRMC #3d
Multi-robot 3D coverage path planning for First Responders teams (HIAPI, PAFR, DGM, MFMC), pp. 1374–1379.
CASECASE-2016-QuenzelPB #robust
Robust extrinsic calibration of multiple stationary laser range finders (JQ, NP, SB), pp. 1332–1339.
CASECASE-2016-RahmanBR #algorithm
Sampling-based planning algorithms for multi-objective missions (MMR, LB, BR), pp. 709–714.
CASECASE-2016-RegulinSAV #automation #configuration management #design #knowledge base #modelling
Model based design of knowledge bases in multi agent systems for enabling automatic reconfiguration capabilities of material flow modules (DR, DS, TA, BVH), pp. 133–140.
CASECASE-2016-SchererR #communication #constraints #energy #persistent
Persistent multi-UAV surveillance with energy and communication constraints (JS, BR), pp. 1225–1230.
CASECASE-2016-TohidiH #adaptation #predict #process #self
Self-Tuning Adaptive Multiple Model Predictive Control with application to pH Control process (AT, HH), pp. 1219–1224.
CASECASE-2016-YangWBZ #analysis #clustering #scheduling #tool support
Optimal one-wafer cyclic scheduling analysis of transport-dominant single-arm multi-cluster tools (FY, NW, LB, MZ), pp. 1405–1410.
CASECASE-2016-YangWQZ #analysis #clustering #hybrid #scheduling #tool support
Optimal scheduling analysis of treelike hybrid multi-cluster tools (FY, NW, YQ, MZ), pp. 1400–1404.
CASECASE-2016-YuYS
Time-optimal simultaneous motion planning and manipulation of multiple nanowires under electric-fields in fluid suspension (KY, JY, JWS), pp. 954–959.
CASECASE-2016-ZhangSZ #modelling #statistics
Inferring building occupancy based on statistical modeling of multi-sensor data (BZ, YS, LZ), pp. 809–814.
CASECASE-2016-ZhangXHC #optimisation
A new optimal sampling rule for multi-fidelity optimization via ordinal transformation (SZ, JX, EH, CHC), pp. 670–674.
CCCC-2016-KoukosEZSKJ #compilation #energy #source code
Multiversioned decoupled access-execute: the key to energy-efficient compilation of general-purpose programs (KK, PE, GZ, VS, SK, AJ), pp. 121–131.
CGOCGO-2016-NguyenL #graph #platform
Communication-aware mapping of stream graphs for multi-GPU platforms (DN0, JL), pp. 94–104.
CAVCAV-2016-AlurMT #composition #synthesis
Compositional Synthesis of Reactive Controllers for Multi-agent Systems (RA, SM, UT), pp. 251–269.
CSLCSL-2016-BaeldeDS #proving
Infinitary Proof Theory: the Multiplicative Additive Case (DB, AD, AS), p. 17.
CSLCSL-2016-Carvalho #exponential #injection #linear #logic #relational
The Relational Model Is Injective for Multiplicative Exponential Linear Logic (DdC), p. 19.
ICSTICST-2016-Kowalczyk #behaviour #modelling
Modeling App Behavior from Multiple Artifacts (EK), pp. 385–386.
ICSTICST-2016-Segall #combinator #design #testing
Repeated Combinatorial Test Design - Unleashing the Potential in Multiple Testing Iterations (IS), pp. 12–21.
ICTSSICTSS-2016-PradhanWAYL #industrial #named #testing #using
STIPI: Using Search to Prioritize Test Cases Based on Multi-objectives Derived from Industrial Practice (DP, SW0, SA0, TY0, ML), pp. 172–190.
IJCARIJCAR-2016-AminofR #composition #model checking
Model Checking Parameterised Multi-token Systems via the Composition Method (BA, SR), pp. 499–515.
VMCAIVMCAI-2016-ChakiK #concurrent #model checking #thread
Model Checking with Multi-threaded IC3 Portfolios (SC, DK), pp. 517–535.
VMCAIVMCAI-2016-MarechalFKMP #approximate #theorem #using
Polyhedral Approximation of Multivariate Polynomials Using Handelman's Theorem (AM, AF, TK0, DM, MP), pp. 166–184.
QoSAQoSA-2015-Bozhinoski #adaptation #mobile #safety
Managing Safety and Adaptability in Mobile Multi-Robot Systems (DB), pp. 135–140.
QoSAQoSA-2015-Kramer #approach #consistency #generative #modelling
A Generative Approach to Change-Driven Consistency in Multi-View Modeling (MEK), pp. 129–134.
DocEngDocEng-2015-BoschenS
Multi-oriented Text Extraction from Information Graphics (FB, AS), pp. 35–38.
DocEngDocEng-2015-HollausDFKS
Investigation of Ancient Manuscripts based on Multispectral Imaging (FH, MD, SF, FK, RS), pp. 93–96.
DocEngDocEng-2015-JansenFC #distributed #documentation
Multimedia Document Structure for Distributed Theatre (JJ, MF, PC), pp. 199–202.
DocEngDocEng-2015-SantosBMRL #documentation #validation
Spatio-temporal Validation of Multimedia Documents (JAFdS, CB, DCMS, CR, NL), pp. 133–142.
DocEngDocEng-2015-SarkisCD #approach #named #segmentation #web
MSoS: A Multi-Screen-Oriented Web Page Segmentation Approach (MS, CC, JCD), pp. 85–88.
DocEngDocEng-2015-WalgerH
Hiding Information in Multiple Level-line Moirés (TW, RDH), pp. 21–24.
DRRDRR-2015-FuLLQT #diagrams #learning #retrieval
A diagram retrieval method with multi-label learning (SF, XL, LL, JQ, ZT).
DRRDRR-2015-MiouletBCPB #architecture #network #recognition
Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition (LM, GB, CC, TP, SB).
JCDLJCDL-2015-DuanOSK #crowdsourcing #estimation
Multi-Emotion Estimation in Narratives from Crowdsourced Annotations (LD, SO, HS, MK), pp. 91–100.
JCDLJCDL-2015-JayarathnaPS #feedback #modelling
Unified Relevance Feedback for Multi-Application User Interest Modeling (SJ, AP, FS), pp. 129–138.
JCDLJCDL-2015-NielsenG #analysis #interactive #library #named #transaction #visual notation
PivotViz: Interactive Visual Analysis of Multidimensional Library Transaction Data (MN, KG), pp. 139–142.
JCDLJCDL-2015-OrganisciakD #consistency #crowdsourcing #evaluation #similarity
Improving Consistency of Crowdsourced Multimedia Similarity for Evaluation (PO, JSD), pp. 115–118.
PODSPODS-2015-GuchtWWZ #communication #complexity #distributed #matrix
The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication (DVG, RW, DPW, QZ), pp. 199–212.
PODSPODS-2015-Ullman #linear #query
Private Multiplicative Weights Beyond Linear Queries (JU), pp. 303–312.
SIGMODSIGMOD-2015-0001MK #concurrent #database #in memory #performance
Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems (TN, TM, AK), pp. 677–689.
SIGMODSIGMOD-2015-ArmenatzoglouPN #approach #clustering #game studies #graph #realtime #social
Real-Time Multi-Criteria Social Graph Partitioning: A Game Theoretic Approach (NA, HP, VN, DP, CS), pp. 1617–1628.
SIGMODSIGMOD-2015-DokaPTMK #big data #data analysis #named #workflow
IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows (KD, NP, DT, CM, NK), pp. 1451–1456.
SIGMODSIGMOD-2015-HeimelKM #estimation #kernel #modelling #self
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation (MH, MK, VM), pp. 1477–1492.
SIGMODSIGMOD-2015-LiHDL #performance #similarity
Efficient Similarity Join and Search on Multi-Attribute Data (GL, JH, DD, JL), pp. 1137–1151.
SIGMODSIGMOD-2015-TrummerK #algorithm #incremental #optimisation #query
An Incremental Anytime Algorithm for Multi-Objective Query Optimization (IT, CK), pp. 1941–1953.
TPDLTPDL-2015-BackhausenKH #adaptation #information retrieval
Adaptive Information Retrieval Support for Multi-session Information Tasks (DTJB, CPK, MH), pp. 317–320.
VLDBVLDB-2015-FaleiroA #concurrent
Rethinking serializable multiversion concurrency control (JMF, DJA), pp. 1190–1201.
VLDBVLDB-2015-KalininCZ #named #scalability
Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, , SBZ), pp. 1094–1105.
VLDBVLDB-2015-LevandoskiLSS0 #concurrent
Multi-Version Range Concurrency Control in Deuteronomy (JJL, DBL, SS, RS, RW), pp. 2146–2157.
VLDBVLDB-2015-WandeltL #named #string
MRCSI: Compressing and Searching String Collections with Multiple References (SW, UL), pp. 461–472.
EDMEDM-2015-ClementROL
Multi-Armed Bandits for Intelligent Tutoring Systems (BC, DR, PYO, ML0), p. 21.
EDMEDM-2015-HuangG0B #evaluation #framework #modelling #student
A Framework for Multifaceted Evaluation of Student Models (YH0, JPGB, RK0, PB), pp. 203–210.
EDMEDM-2015-PaquetteOB #simulation
Simulating Multi-Subject Momentary Time Sampling (LP, JO, RSB), pp. 586–587.
EDMEDM-2015-PaquetteRBMLDBS #comparison #detection
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection (LP, JPR, RSB, BWM, JCL, JD, KWB, RAS, VG), pp. 93–100.
EDMEDM-2015-YeKSB #behaviour #learning #process #sequence
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences (CY, JSK, JRS, GB), pp. 380–383.
ITiCSEITiCSE-2015-MartinezGB #comparison #concept #framework #learning #platform #programming
A Comparison of Preschool and Elementary School Children Learning Computer Science Concepts through a Multilanguage Robot Programming Platform (MCM, MJG, LB), pp. 159–164.
ITiCSEITiCSE-2015-Silvis-Cividjian #approach #education #pervasive
Teaching Pervasive Computing to CS Freshmen: A Multidisciplinary Approach (NSC), pp. 195–200.
SIGITESIGITE-2015-SobieskBCLT #approach #education
Cyber Education: A Multi-Level, Multi-Discipline Approach (ES, JRSB, GJC, ML, HT), pp. 43–47.
SANERSANER-2015-SaeidiHKJ #approach #clustering #search-based
A search-based approach to multi-view clustering of software systems (AS, JH, RK, SJ), pp. 429–438.
SANERSANER-2015-SaiedBAS #api #mining
Mining Multi-level API Usage Patterns (MAS, OB, HA, HAS), pp. 23–32.
SCAMSCAM-2015-PintoKT #analysis #automation #performance
Automating the performance deviation analysis for multiple system releases: An evolutionary study (FP, UK, CT), pp. 201–210.
SCAMSCAM-2015-SayaghA #empirical
Multi-layer software configuration: Empirical study on wordpress (MS, BA), pp. 31–40.
CIAACIAA-2015-Prusa #context-free grammar #decidability #problem
(Un)decidability of the Emptiness Problem for Multi-dimensional Context-Free Grammars (DP), pp. 250–262.
DLTDLT-2015-JeckerF #word
Multi-sequential Word Relations (IJ, EF), pp. 288–299.
ICALPICALP-v1-2015-CohenH #pseudo
Multilinear Pseudorandom Functions (AC, JH), pp. 331–342.
ICALPICALP-v1-2015-GargMVY #nash #symmetry
ETR-Completeness for Decision Versions of Multi-player (Symmetric) Nash Equilibria (JG, RM, VVV, SY), pp. 554–566.
ICALPICALP-v1-2015-Yu #algorithm #combinator #matrix
An Improved Combinatorial Algorithm for Boolean Matrix Multiplication (HY), pp. 1094–1105.
LATALATA-2015-AmanoS #bound #polynomial
A Nonuniform Circuit Class with Multilayer of Threshold Gates Having Super Quasi Polynomial Size Lower Bounds Against NEXP (KA, AS), pp. 461–472.
SFMSFM-2015-CoppoDPY
A Gentle Introduction to Multiparty Asynchronous Session Types (MC, MDC, LP, NY), pp. 146–178.
TLCATLCA-2015-HofmannM #analysis #term rewriting
Multivariate Amortised Resource Analysis for Term Rewrite Systems (MH, GM), pp. 241–256.
TLCATLCA-2015-Scherer
Multi-Focusing on Extensional Rewriting with Sums (GS), pp. 317–331.
ICFPICFP-2015-BahrBE #contract
Certified symbolic management of financial multi-party contracts (PB, JB, ME), pp. 315–327.
AIIDEAIIDE-2015-CachiaLY #evolution
Multi-Level Evolution of Shooter Levels (WC, AL, GNY), pp. 115–121.
AIIDEAIIDE-2015-NormoyleJ #clustering #game studies
Bayesian Clustering of Player Styles for Multiplayer Games (AN, STJ), pp. 163–169.
CHI-PLAYCHI-PLAY-2015-BockFTK #comparison #game studies #tablet
Tangible Widgets for a Multiplayer Tablet Game in Comparison to Finger Touch (MB, MF, KFT, MK), pp. 755–758.
CHI-PLAYCHI-PLAY-2015-DiazDHS #online #reasoning
Scientific Heroes: Multiplayer Online Battle Arenas Foster Players' Hypothetico-Deductive Reasoning (CMCD, BD, HH, JWS), pp. 481–485.
CHI-PLAYCHI-PLAY-2015-LeeHB #game studies #named
Racetime: Telepresence Racing Game with Multi-user Participation (BL, YH, HB), pp. 601–606.
CHI-PLAYCHI-PLAY-2015-VellosoOSWG #deployment #evaluation #framework #game studies #platform
Arcade+: A Platform for Public Deployment and Evaluation of Multi-Modal Games (EV, CO, KS, MW, HG), pp. 271–275.
CoGCIG-2015-EisenstadtMA #co-evolution #game studies
Co-evolution of strategies for multi-objective games under postponed objective preferences (EE, AM, GA), pp. 461–468.
CoGCIG-2015-QuadfliegRP #how #optimisation #parametricity
How costly is a good compromise: Multi-objective TORCS controller parameter optimization (JQ, GR, MP), pp. 454–460.
CoGCIG-2015-SatoIW #estimation #monte carlo #using
Estimation of player's preference for cooperative RPGs using multi-strategy Monte-Carlo method (NS, KI, TW), pp. 51–59.
CoGCIG-2015-SequeiraMP #collaboration #exclamation #game studies #quote
“Let's save resources!”: A dynamic, collaborative AI for a multiplayer environmental awareness game (PS, FSM, AP), pp. 399–406.
FDGFDG-2015-JohanssonVK #game studies #online #trust
I am being watched by the Tribunal: Trust and control in Multiplayer Online Battle Arena games (MJ, HV, YK).
FDGFDG-2015-ReuterGS #automation #detection #game studies #petri net #using
Detecting structural deadlocks in Multiplayer Games using automatically generated Petri Nets (CR0, SG0, RS).
CoGVS-Games-2015-DiazDHS #development #game studies #learning #online #using #video
Explicit Fun, Implicit Learning in Multiplayer Online Battle Arenas: Methodological Proposal for Studying the Development of Cognitive Skills Using Commercial Video Games (CMCD, BD, HH, JWS), pp. 1–3.
CoGVS-Games-2015-KruijffMTSH #game studies
Enhancing User Engagement in Immersive Games through Multisensory Cues (EK, AM, CT, JS, AH), pp. 1–8.
CoGVS-Games-2015-OhmotoTN #game studies
Distinction of Intrinsic and Extrinsic Stress in an Exercise Game by Combining Multiple Physiological Indices (YO, ST, TN), pp. 1–4.
ICGTICGT-2015-LeblebiciAS #graph grammar #tool support
Tool Support for Multi-amalgamated Triple Graph Grammars (EL, AA, AS), pp. 257–265.
ICGTICGT-2015-LeblebiciAST #graph grammar
Multi-amalgamated Triple Graph Grammars (EL, AA, AS, GT), pp. 87–103.
CHICHI-2015-0002FTO
Investigating the Dexterity of Multi-Finger Input for Mid-Air Text Entry (SS, AMF, CT, AO), pp. 3643–3652.
CHICHI-2015-Al-AmeenWS #random #towards
Towards Making Random Passwords Memorable: Leveraging Users’ Cognitive Ability Through Multiple Cues (MNAA, MKW, SS), pp. 2315–2324.
CHICHI-2015-CaoLLT #graph #interactive #mining #named #visual notation
g-Miner: Interactive Visual Group Mining on Multivariate Graphs (NC, YRL, LL, HT), pp. 279–288.
CHICHI-2015-FleckCR #bound #using
Balancing Boundaries: Using Multiple Devices to Manage Work-Life Balance (RF, ALC, RAVR), pp. 3985–3988.
CHICHI-2015-GaoYHF #automation #collaboration #game studies #how
Improving Multilingual Collaboration by Displaying How Non-native Speakers Use Automated Transcripts and Bilingual Dictionaries (GG, NY, AMJH, SRF), pp. 3463–3472.
CHICHI-2015-GrubertHQS #interactive #named
MultiFi: Multi Fidelity Interaction with Displays On and Around the Body (JG, MH, AJQ, DS), pp. 3933–3942.
CHICHI-2015-JokelaOO #process
A Diary Study on Combining Multiple Information Devices in Everyday Activities and Tasks (TJ, JO, TO), pp. 3903–3912.
CHICHI-2015-KimGMM #interactive #named
RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos (JK, ELG, AMH, MRM), pp. 1535–1544.
CHICHI-2015-LottridgeROWBMN
The Effects of Chronic Multitasking on Analytical Writing (DML, CR, CSO, SJW, KAB, ASM, CIN), pp. 2967–2970.
CHICHI-2015-ManciniHAG #detection #interface
Re-Centering Multispecies Practices: A Canine Interface for Cancer Detection Dogs (CM, RH, BA, CG), pp. 2673–2682.
CHICHI-2015-NebelingGSN #named
MUBox: Multi-User Aware Personal Cloud Storage (MN, MG, OS, MCN), pp. 1855–1864.
CHICHI-2015-OskampBHG #analysis #design #evaluation #named
TerraGuide: Design and Evaluation of a Multi-Surface Environment for Terrain Visibility Analysis (MO, CB, RH, TCNG), pp. 3553–3562.
CHICHI-2015-PierceP #delivery #design
Making Multiple Uses of the Obscura 1C Digital Camera: Reflecting on the Design, Production, Packaging and Distribution of a Counterfunctional Device (JP, EP), pp. 2103–2112.
CHICHI-2015-SteichenF #comparison #interface
Supporting the Modern Polyglot: A Comparison of Multilingual Search Interfaces (BS, LF), pp. 3483–3492.
CHICHI-2015-TinatiKSLSS #case study #data analysis #design #framework #platform
Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform (RT, MVK, EPBS, MLR, RJS, NS), pp. 4069–4078.
CHICHI-2015-TubbD #design #evaluation
An Evaluation of Multidimensional Controllers for Sound Design Tasks (RT, SD), pp. 47–56.
CHICHI-2015-TurnerABG
Gaze+RST: Integrating Gaze and Multitouch for Remote Rotate-Scale-Translate Tasks (JT, JA, AB, HG), pp. 4179–4188.
CSCWCSCW-2015-FreitasD15a #detection #using
Using Multiple Contexts to Detect and Form Opportunistic Groups (AAdF, AKD), pp. 1612–1621.
CSCWCSCW-2015-GaoXHYCF #collaboration
Two is Better Than One: Improving Multilingual Collaboration by Giving Two Machine Translation Outputs (GG, BX, DCH, ZY, DC, SRF), pp. 852–863.
CSCWCSCW-2015-KobayashiAIST
Motivating Multi-Generational Crowd Workers in Social-Purpose Work (MK, SA, TI, SS, HT), pp. 1813–1824.
CSCWCSCW-2015-LeeL #behaviour #comprehension #health #social
Understanding the Roles and Influences of Mediators from Multiple Social Channels for Health Behavior Change (YL, YKL), pp. 1070–1079.
CSCWCSCW-2015-MaddockSASOM #behaviour #online #using
Characterizing Online Rumoring Behavior Using Multi-Dimensional Signatures (JM, KS, HJAH, DES, MO, RMM), pp. 228–241.
CSCWCSCW-2015-MarkICJ
Focused, Aroused, but so Distractible: Temporal Perspectives on Multitasking and Communications (GM, STI, MC, PJ), pp. 903–916.
HCIDUXU-IXD-2015-RaffaeleAJCPCS #analysis #game studies #legacy #platform #usability
Doctor Who: Legacy, an Analysis of Usability and Playability of a Multi-platform Game (RR, RA, IJ, BC, GP, BJAdC, MMS), pp. 283–291.
HCIDUXU-UI-2015-ChngC #3d #case study #interactive #user study
User Study on 3D Multitouch Interaction (3DMi) and Gaze on Surface Computing (EC, NC), pp. 425–433.
HCIDUXU-UI-2015-Search #data transformation #interactive #representation
Interactive Multisensory Data Representation (PS), pp. 363–373.
HCIHCI-IT-2015-HaescherTMBUK #named #process #smarttech
aHead: Considering the Head Position in a Multi-sensory Setup of Wearables to Recognize Everyday Activities with Intelligent Sensor Fusions (MH, JT, DJCM, GB, BU, TK), pp. 741–752.
HCIHCI-IT-2015-OrtegaBROAA #named
GyroTouch: Wrist Gyroscope with a Multi-Touch Display (FRO, AB, NR, NOL, MA, FA), pp. 262–270.
HCIHCI-IT-2015-Yigitbas0E #adaptation #framework #modelling #user interface
A Model-Based Framework for Multi-Adaptive Migratory User Interfaces (EY, SS, GE), pp. 563–572.
HCIHCI-UC-2015-AlhumoudAAA #aspect-oriented #design #interface
Socio-Cultural Aspects in the Design of Multilingual Banking Interfaces in the Arab Region (SA, LA, NA, AAW), pp. 269–280.
HCIHCI-UC-2015-Hankiewicz #interface
Compatibility of Information and Interface of Universities’ Multilingual Websites (KH), pp. 73–81.
HCIHCI-UC-2015-KaratasYSO #named
NAMIDA: Multiparty Conversation Based Driving Agents in Futuristic Vehicle (NK, SY, PRSDS, MO), pp. 198–207.
HCIHIMI-IKC-2015-Bretschneider-Hagemes #development #low cost #mobile #question #simulation
Development of a New Low Cost Driving Simulation for Assessing Multidimensional Task Loads Caused by Mobile ICT at Drivers’ Workplaces. — Objective-Fidelity Beats Equipment-Fidelity? (MBH), pp. 173–179.
HCIHIMI-IKC-2015-MatsudaOHT #analysis #automation #generative #problem #testing #using
Analysis of Multiple-Choice Tests Through Erroneous Choices Using a Technique of Automatic Problem Generation (NM, HO, TH, HT), pp. 362–369.
HCIHIMI-IKC-2015-PereiraSBSCFC
Multi-criteria Fusion of Heterogeneous Information for Improving Situation Awareness on Emergency Management Systems (VAPJ, MFS, LCB, JOdS, CSC, EF, MRdC), pp. 3–14.
HCIHIMI-IKD-2015-BelyiPRM
A Multi-agent Based System for Route Planning (EB, IP, AR, VM), pp. 500–512.
HCIHIMI-IKD-2015-FischerOFIW #framework #interface #named #platform #prototype #testing
URU: A Platform for Prototyping and Testing Compatibility of Multifunction Interfaces with User Knowledge Schemata (SF, BO, MF, MI, EW), pp. 151–160.
HCIHIMI-IKD-2015-GregoryD #human-computer #information management
Multisensory Information Processing for Enhanced Human-Machine Symbiosis (FDG, LD), pp. 354–365.
HCIHIMI-IKD-2015-JungLB #platform #question
Voice Control System and Multiplatform Use: Specialist Vs. Generalist? (SJ, KML, FB), pp. 607–616.
HCIHIMI-IKD-2015-YamashitaS #graph
Edge Bundling in Multi-attributed Graphs (TY, RS), pp. 138–147.
HCILCT-2015-IbanezN #design #implementation #using
Contextualization of Archaeological Findings Using Virtual Worlds. Issues on Design and Implementation of a Multiuser Enabled Virtual Museum (LAHI, VBN), pp. 384–393.
HCILCT-2015-KlemkeKLS #education #game studies #learning #mobile
Transferring an Educational Board Game to a Multi-user Mobile Learning Game to Increase Shared Situational Awareness (RK, SK, HL, MS), pp. 583–594.
HCILCT-2015-SalazarOD #adaptation #education #mobile #personalisation #ubiquitous #using
Adaptive and Personalized Educational Ubiquitous Multi-Agent System Using Context-Awareness Services and Mobile Devices (OMS, DAO, NDD), pp. 301–312.
HCILCT-2015-VielRTP #design #interactive #learning
Design Solutions for Interactive Multi-video Multimedia Learning Objects (CCV, KRHR, CACT, MdGCP), pp. 160–171.
HCISCSM-2015-PervinPDTT #hashtag #twitter
Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags (NP, TQP, AD, HT, FT), pp. 169–182.
HCISCSM-2015-PriceMMGBA #named
Inter-Social-Networking: Accounting for Multiple Identities (DP, DM, RM, CG, MAB, SA), pp. 242–252.
ICEISICEIS-v1-2015-AlmeidaHC #question #what
What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEISICEIS-v1-2015-BurtiniLL #online
Improving Online Marketing Experiments with Drifting Multi-armed Bandits (GB, JL, RL), pp. 630–636.
ICEISICEIS-v1-2015-ChevalierMKTT #implementation
Implementing Multidimensional Data Warehouses into NoSQL (MC, MEM, AK, OT, RT), pp. 172–183.
ICEISICEIS-v1-2015-MorriHS #modelling
Multi-agent Modelling for a Regulation Support System of Public Transport (NM, SEH, LBS), pp. 624–629.
ICEISICEIS-v1-2015-NouriDG #algorithm #flexibility #problem #scheduling #search-based
Genetic Algorithm Combined with Tabu Search in a Holonic Multiagent Model for Flexible Job Shop Scheduling Problem (HEN, OBD, KG), pp. 573–584.
ICEISICEIS-v1-2015-SautotBJF #clustering #design #modelling #refinement
Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering (LS, SB, LJ, BF), pp. 547–555.
ICEISICEIS-v1-2015-VaroneA #using
Multi-modal Transportation with Public Transport and Ride-sharing — Multi-modal Transportation using a Path-based Method (SV, KA), pp. 479–486.
ICEISICEIS-v1-2015-YanguiNG #concept #design #network #social #towards
Towards Data Warehouse Schema Design from Social Networks — Dynamic Discovery of Multidimensional Concepts (RY, AN, FG), pp. 338–345.
ICEISICEIS-v2-2015-Avila-SantosHKB
Building Coalitions of Competitors in the Negotiation of Multiparty e-Contracts through Consultations (APAS, JH, DSK, EB), pp. 618–625.
ICEISICEIS-v2-2015-CuencaBBT #case study #concept #development #framework
Conceptual Interoperability Barriers Framework (CIBF) — A Case Study of Multi-organizational Software Development (LC, AB, ÁOB, JJMT), pp. 521–531.
ICEISICEIS-v2-2015-KhlifKKD #approach #architecture #uml
A UML-based Approach for Multi-scale Software Architectures (IK, MHK, AHK, KD), pp. 374–381.
ICEISICEIS-v2-2015-VitolsBSSAS
Multi-payment Solution for Smartlet Applications (GV, NB, JS, VS, IA, IS), pp. 668–673.
CIKMCIKM-2015-AiWSYZC #classification
Best First Over-Sampling for Multilabel Classification (XA, JW0, VSS, YY, PZ, ZC), pp. 1803–1806.
CIKMCIKM-2015-BeecksUH0 #database #performance #scalability #similarity
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases (CB, MSU, JH, TS0), pp. 1241–1250.
CIKMCIKM-2015-JinLZHH #distributed #learning #online
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks (XJ0, PL0, FZ, JH, QH), pp. 113–122.
CIKMCIKM-2015-JinZPDLH #classification #learning #semantics
Heterogeneous Multi-task Semantic Feature Learning for Classification (XJ0, FZ, SJP, CD, PL0, QH), pp. 1847–1850.
CIKMCIKM-2015-JoKB #analysis #gpu #matrix #network #performance #scalability #social
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis (YYJ, SWK, DHB), pp. 1261–1270.
CIKMCIKM-2015-KleisarchakiACC #query
Querying Temporal Drifts at Multiple Granularities (SK, SAY, ADC, VC), pp. 1531–1540.
CIKMCIKM-2015-LeeACS #framework #optimisation
An Optimization Framework for Merging Multiple Result Lists (CJL, QA, WBC, DS), pp. 303–312.
CIKMCIKM-2015-LiCH #framework #natural language #summary
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization (PL, TWC, HH), pp. 1401–1410.
CIKMCIKM-2015-LiP #named #network #privacy
ReverseCloak: Protecting Multi-level Location Privacy over Road Networks (CL0, BP), pp. 673–682.
CIKMCIKM-2015-LiuTL #learning #matrix #named #scalability
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning (LL, PNT, XL), pp. 881–890.
CIKMCIKM-2015-LiuWW #collaboration #interactive #predict #representation
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation (QL0, SW, LW0), pp. 613–622.
CIKMCIKM-2015-ManSHC #adaptation #matrix #recommendation
Context-Adaptive Matrix Factorization for Multi-Context Recommendation (TM, HS, JH, XC), pp. 901–910.
CIKMCIKM-2015-MishraH #clustering #learning #using
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning (MM, JH), pp. 1091–1100.
CIKMCIKM-2015-NiesTDV0MW #information management #re-engineering #social #social media #towards
Towards Multi-level Provenance Reconstruction of Information Diffusion on Social Media (TDN, IT, AD, RV, PMF0, EM, RVdW), pp. 1823–1826.
CIKMCIKM-2015-PreumSQ #adaptation #behaviour #named #personalisation #predict
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction (SMP, JAS, YQ), pp. 433–442.
CIKMCIKM-2015-WangG #metric #performance #tuple
Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures (JJYW, XG0), pp. 1915–1918.
CIKMCIKM-2015-WangSFYXL #approach #effectiveness
An Integrated Bayesian Approach for Effective Multi-Truth Discovery (XW0, QZS, XSF, LY, XX, XL0), pp. 493–502.
CIKMCIKM-2015-WangYHWT #clustering #rank #representation
Multi-view Clustering via Structured Low-rank Representation (DW, QY, RH, LW0, TT), pp. 1911–1914.
CIKMCIKM-2015-YeL #constraints #logic #markov #network
Structural Constraints for Multipartite Entity Resolution with Markov Logic Network (TY, HWL), pp. 1691–1694.
CIKMCIKM-2015-YeZMJZ #approach #consistency #learning #privacy #rank
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach (HJY, DCZ, YM, YJ0, ZHZ), pp. 991–1000.
CIKMCIKM-2015-YinWW #clustering #learning
Incomplete Multi-view Clustering via Subspace Learning (QY, SW, LW0), pp. 383–392.
ECIRECIR-2015-BuitinckATR #detection
Multi-emotion Detection in User-Generated Reviews (LB, JvA, ET, MdR), pp. 43–48.
ECIRECIR-2015-KimVBR #clustering
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering (YMK, JV, SB, MAR), pp. 593–604.
ECIRECIR-2015-MogadalaR #correlation #retrieval
Multi-modal Correlated Centroid Space for Multi-lingual Cross-Modal Retrieval (AM, AR), pp. 68–79.
ECIRECIR-2015-RomeoIT #classification #documentation #knowledge-based #representation
Knowledge-Based Representation for Transductive Multilingual Document Classification (SR, DI, AT), pp. 92–103.
ECIRECIR-2015-TsaiKH #approximate #distance #probability
Approximating Weighted Hamming Distance by Probabilistic Selection for Multiple Hash Tables (CYT, YHK, WHH), pp. 123–134.
ICMLICML-2015-AmidU #learning
Multiview Triplet Embedding: Learning Attributes in Multiple Maps (EA, AU), pp. 1472–1480.
ICMLICML-2015-BlechschmidtGL #approximate #optimisation #parametricity #problem
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains (KB, JG, SL), pp. 438–447.
ICMLICML-2015-CilibertoMPR #learning
Convex Learning of Multiple Tasks and their Structure (CC, YM, TAP, LR), pp. 1548–1557.
ICMLICML-2015-GalCG #category theory #estimation #process
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data (YG, YC, ZG), pp. 645–654.
ICMLICML-2015-GasseAE #classification #composition #on the #set
On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property (MG, AA, HE), pp. 2531–2539.
ICMLICML-2015-HanXA #consistency #estimation #modelling
Consistent estimation of dynamic and multi-layer block models (QH, KSX, EA), pp. 1511–1520.
ICMLICML-2015-Hernandez-Lobato #feature model #probability
A Probabilistic Model for Dirty Multi-task Feature Selection (DHL, JMHL, ZG), pp. 1073–1082.
ICMLICML-2015-KomiyamaHN #analysis #probability #problem
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays (JK, JH, HN), pp. 1152–1161.
ICMLICML-2015-LianHRLC #predict #process
A Multitask Point Process Predictive Model (WL, RH, VR, JEL, LC), pp. 2030–2038.
ICMLICML-2015-MaeharaYK #game studies #perspective #problem
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View (TM, AY, KiK), pp. 428–437.
ICMLICML-2015-NarasimhanRS0 #algorithm #consistency #metric #performance
Consistent Multiclass Algorithms for Complex Performance Measures (HN, HGR, AS, SA), pp. 2398–2407.
ICMLICML-2015-PhamRFA #learning #novel
Multi-instance multi-label learning in the presence of novel class instances (ATP, RR, XZF, JPA), pp. 2427–2435.
ICMLICML-2015-RajanHSFJ #locality
Bayesian Multiple Target Localization (PR, WH, RS, PIF, BJ), pp. 1945–1953.
ICMLICML-2015-SunLXB #clustering
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization (JS, JL, TX, JB), pp. 757–766.
ICMLICML-2015-SzorenyiBWH #approach
Qualitative Multi-Armed Bandits: A Quantile-Based Approach (BS, RBF, PW, EH), pp. 1660–1668.
ICMLICML-2015-WangALB #learning #on the #representation
On Deep Multi-View Representation Learning (WW, RA, KL, JAB), pp. 1083–1092.
ICMLICML-2015-WangWLCW #learning #segmentation
Multi-Task Learning for Subspace Segmentation (YW, DPW, QL, WC, IJW), pp. 1209–1217.
ICMLICML-2015-WangY #learning #matrix
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.
ICMLICML-2015-YuCL #learning #online #rank
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams (RY, DC, YL), pp. 238–247.
ICMLICML-2015-ZhaoYZL #adaptation #probability
Adaptive Stochastic Alternating Direction Method of Multipliers (PZ, JY, TZ, PL), pp. 69–77.
KDDKDD-2015-BotezatuBGVW #clustering
Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching (MMB, JB, IG, HV, DW), pp. 1711–1720.
KDDKDD-2015-FakhraeiFSG #detection #evolution #network #social
Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
KDDKDD-2015-GaoYCH #integration #learning #visual notation
Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning (HG, LY, WC, HH), pp. 339–348.
KDDKDD-2015-HanZ #learning
Learning Tree Structure in Multi-Task Learning (LH, YZ), pp. 397–406.
KDDKDD-2015-KadkhodaieCSB
Accelerated Alternating Direction Method of Multipliers (MK, KC, MS, AB), pp. 497–506.
KDDKDD-2015-KuoWWCYD #graph #segmentation
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation (CTK, XW, PBW, OTC, JY, ID), pp. 617–626.
KDDKDD-2015-LanH #complexity #learning
Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning (CL, JH), pp. 627–634.
KDDKDD-2015-LinLC #framework #network #social
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks (SCL, SDL, MSC), pp. 695–704.
KDDKDD-2015-NiTFZ #clustering #flexibility #robust
Flexible and Robust Multi-Network Clustering (JN, HT, WF, XZ), pp. 835–844.
KDDKDD-2015-NoriKYII #modelling #predict
Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care (NN, HK, KY, HI, YI), pp. 855–864.
KDDKDD-2015-Papagiannopoulou #learning
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning (CP, GT, IT), pp. 915–924.
KDDKDD-2015-QahtanAWZ #data type #detection #framework
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams (AAQ, BA, SW, XZ), pp. 935–944.
KDDKDD-2015-RaptiSTT #network
Virus Propagation in Multiple Profile Networks (AR, SS, KT, GT), pp. 975–984.
KDDKDD-2015-ScheinPBW
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts (AS, JWP, DMB, HMW), pp. 1045–1054.
KDDKDD-2015-YangH #learning
Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning (PY, JH), pp. 1375–1384.
KDDKDD-2015-YuW0PSIW #bound #markov
Tornado Forecasting with Multiple Markov Boundaries (KY, DW, WD, JP, DLS, SI, XW), pp. 2237–2246.
KDDKDD-2015-ZhangLZSKYJ #analysis #biology #image #learning #modelling
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis (WZ, RL, TZ, QS, SK, JY, SJ), pp. 1475–1484.
KDDKDD-2015-ZhaoSYCLR #learning
Multi-Task Learning for Spatio-Temporal Event Forecasting (LZ, QS, JY, FC, CTL, NR), pp. 1503–1512.
MLDMMLDM-2015-CostaFK #using
Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders (WC, LMGF, TSK), pp. 187–198.
RecSysRecSys-2015-Bourke #recommendation
The Application of Recommender Systems in a Multi Site, Multi Domain Environment (SB), p. 229.
SEKESEKE-2015-MokniHUVZ #architecture #component #evolution
An evolution management model for multi-level component-based software architectures (AM, MH, CU, SV, HYZ), pp. 674–679.
SEKESEKE-2015-XuB #reliability #using
A Reliable and Secure Cloud Storage Schema Using Multiple Service Providers (HX, DB), pp. 116–121.
SIGIRSIGIR-2015-Al-Dhelaan #graph #named #summary
StarSum: A Simple Star Graph for Multi-document Summarization (MAD), pp. 715–718.
SIGIRSIGIR-2015-BarzegarSFHD #named #semantics
DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness (SB, JES, AF, SH, BD), pp. 1027–1028.
SIGIRSIGIR-2015-CormackG #learning #overview #perspective
Multi-Faceted Recall of Continuous Active Learning for Technology-Assisted Review (GVC, MRG), pp. 763–766.
SIGIRSIGIR-2015-LiLZS #matrix #modelling #retrieval #using
Modeling Multi-query Retrieval Tasks Using Density Matrix Transformation (QL, JL, PZ, DS), pp. 871–874.
SIGIRSIGIR-2015-Pal
Discovering Experts across Multiple Domains (AP), pp. 923–926.
SIGIRSIGIR-2015-SchuthBBDGOTVVW #evaluation #online #probability #retrieval
Probabilistic Multileave for Online Retrieval Evaluation (AS, RJB, FB, JvD, CG, HO, CNT, BV, JvdV, RW, DW, MdR), pp. 955–958.
SIGIRSIGIR-2015-SongNZAC #learning #network #predict #social #volunteer
Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction (XS, LN, LZ, MA, TSC), pp. 213–222.
SIGIRSIGIR-2015-SunXZLGX #personalisation #recommendation
Multi-source Information Fusion for Personalized Restaurant Recommendation (JS, YX, YZ, JL, CG, HX), pp. 983–986.
SIGIRSIGIR-2015-TanWX #matrix #summary #topic
Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.
SIGIRSIGIR-2015-ZamaniMS #adaptation #evaluation #learning
Adaptive User Engagement Evaluation via Multi-task Learning (HZ, PM, AS), pp. 1011–1014.
SIGIRSIGIR-2015-ZhangCQZL #personalisation #recommendation #similarity
When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation (XZ, JC, SQ, ZZ, HL), pp. 1019–1022.
ECMFAECMFA-J-2012-PfeifferW15 #design #development
The design space of multi-language development environments (RHP, AW), pp. 383–411.
ICMTICMT-J-2012-AtkinsonGT15 #model transformation #modelling #transformation language
Enhancing classic transformation languages to support multi-level modeling (CA, RG, CVT), pp. 645–666.
ECMFAECMFA-2015-RossiniLGN #comparison #modelling
A Comparison of Two-Level and Multi-level Modelling for Cloud-Based Applications (AR, JdL, EG, NN), pp. 18–32.
ICMTICMT-2015-GetirGBKST #co-evolution #evaluation #framework #modelling #named
CoWolf — A Generic Framework for Multi-view Co-evolution and Evaluation of Models (SG, LG, CKB, VK, TS, MT), pp. 34–40.
ICMTICMT-2015-TrollmannA #graph grammar #model transformation #modelling
Extending Model to Model Transformation Results from Triple Graph Grammars to Multiple Models (FT, SA), pp. 214–229.
MoDELSMoDELS-2015-AtkinsonGK15a #approach #modelling
A unifying approach to connections for multi-level modeling (CA, RG, TK), pp. 216–225.
SPLCSPLC-2015-ChavarriagaRNCJ #case study #configuration management #experience #feature model #modelling #using
Using multiple feature models to specify configuration options for electrical transformers: an experience report (JC, CR, CN, RC, VJ), pp. 216–224.
SPLCSPLC-2015-HotzWRGL #automation #evaluation
Evaluation across multiple views for variable automation systems (LH, YW, MR, OG, JL), pp. 311–315.
SPLCSPLC-2015-TeixeiraBG #evolution #product line
Safe evolution of product populations and multi product lines (LT, PB, RG), pp. 171–175.
OOPSLAOOPSLA-2015-0003KLS #data type #memory management #performance #scalability
Fast, multicore-scalable, low-fragmentation memory allocation through large virtual memory and global data structures (MA, CMK, ML, AS), pp. 451–469.
PLDIPLDI-2015-DingTKZK #optimisation
Optimizing off-chip accesses in multicores (WD, XT, MTK, YZ, EK), pp. 131–142.
PLDIPLDI-2015-Sidiroglou-Douskos #automation #fault
Automatic error elimination by horizontal code transfer across multiple applications (SSD, EL, FL, MR), pp. 43–54.
PPDPPPDP-2015-Al-HumaimeedyF #specification #verification
Enhancing the specification and verification techniques of multiparty sessions in SOC (ASAH, MF), pp. 19–30.
ASEASE-2015-BozhinoskiRMPT #named
FLYAQ: Enabling Non-expert Users to Specify and Generate Missions of Autonomous Multicopters (DB, DDR, IM, PP, MT), pp. 801–806.
ASEASE-2015-HongLKJKKK #fault #locality #source code
Mutation-Based Fault Localization for Real-World Multilingual Programs (T) (SH, BL, TK, YJ, BK, YK, MK), pp. 464–475.
ASEASE-2015-InversoN0TP #bound #concurrent #model checking #named #thread
Lazy-CSeq: A Context-Bounded Model Checking Tool for Multi-threaded C-Programs (OI, TLN, BF, SLT, GP), pp. 807–812.
ASEASE-2015-NguyenNN #approach #divide and conquer #migration #source code #statistics
Divide-and-Conquer Approach for Multi-phase Statistical Migration for Source Code (T) (ATN, TTN, TNN), pp. 585–596.
ESEC-FSEESEC-FSE-2015-FilieriHM #adaptation #automation #design #self
Automated multi-objective control for self-adaptive software design (AF, HH, MM), pp. 13–24.
ESEC-FSEESEC-FSE-2015-SenNGC #execution #named #summary #symbolic computation #using
MultiSE: multi-path symbolic execution using value summaries (KS, GCN, LG, WC), pp. 842–853.
ESEC-FSEESEC-FSE-2015-VasquezBBOPP #android #approach #energy #optimisation #user interface
Optimizing energy consumption of GUIs in Android apps: a multi-objective approach (MLV, GB, CEBC, RO, MDP, DP), pp. 143–154.
ICSEICSE-v1-2015-HenardPHT #configuration management #constraints #product line #scalability #theorem proving
Combining Multi-Objective Search and Constraint Solving for Configuring Large Software Product Lines (CH, MP, MH, YLT), pp. 517–528.
ICSEICSE-v1-2015-YuBC #approach #fault #testing
Does the Failing Test Execute a Single or Multiple Faults? An Approach to Classifying Failing Tests (ZY, CB, KYC), pp. 924–935.
ICSEICSE-v2-2015-AlexandruG #agile #analysis
Rapid Multi-Purpose, Multi-Commit Code Analysis (CVA, HCG), pp. 635–638.
ICSEICSE-v2-2015-Baia #approach #project management #simulation
An Integrated Multi-Agent-Based Simulation Approach to Support Software Project Management (DdMB), pp. 911–914.
ICSEICSE-v2-2015-SchroederH0HLM #architecture #case study #design #evaluation #industrial #product line #self
Design and Evaluation of a Customizable Multi-Domain Reference Architecture on Top of Product Lines of Self-Driving Heavy Vehicles — An Industrial Case Study (JS, DH, CB, CJH, LL, AM), pp. 189–198.
SACSAC-2015-BarringtonFD #scalability
A scalable multi-producer multi-consumer wait-free ring buffer (AB, SDF, DD), pp. 1321–1328.
SACSAC-2015-BasgaluppBP #algorithm #evolution #induction
Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic (MPB, RCB, VP), pp. 110–117.
SACSAC-2015-BechetCCC #constraints #mining #sequence
Sequence mining under multiple constraints (NB, PC, TC, BC), pp. 908–914.
SACSAC-2015-BerardiEF0 #classification #mobile
Multi-store metadata-based supervised mobile app classification (GB, AE, TF, FS), pp. 585–588.
SACSAC-2015-BezuBRVVF #component #detection #similarity #web
Multi-component similarity method for web product duplicate detection (RvB, SB, RR, JV, DV, FF), pp. 761–768.
SACSAC-2015-Brefeld #learning
Multi-view learning with dependent views (UB), pp. 865–870.
SACSAC-2015-BurkhardtK #classification #on the
On the spectrum between binary relevance and classifier chains in multi-label classification (SB, SK), pp. 885–892.
SACSAC-2015-CanoA #feedback #scalability #streaming
Feedback management for scaling clients in streaming multicast (JC, LA), pp. 669–671.
SACSAC-2015-Chakraborti #identification #optimisation #summary #topic
Multi-document text summarization for competitor intelligence: a methodology based on topic identification and artificial bee colony optimization (SC), pp. 1110–1111.
SACSAC-2015-CinalliMPG #optimisation
Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence (DC, LM, NSP, ACBG), pp. 133–138.
SACSAC-2015-CostaRRTS #named #platform
MpOS: a multiplatform offloading system (PBC, PALR, LSR, FAMT, JNdS), pp. 577–584.
SACSAC-2015-DemuthRNHZE #framework #named
DesignSpace: an infrastructure for multi-user/multi-tool engineering (AD, MRE, AN, PH, KZ, AE), pp. 1486–1491.
SACSAC-2015-DominguesSBMPR #metadata #personalisation #ranking #recommendation
Applying multi-view based metadata in personalized ranking for recommender systems (MAD, CVS, FMMB, MGM, MGCP, SOR), pp. 1105–1107.
SACSAC-2015-Dragoni
Exploiting multilinguality for creating mappings between thesauri (MD), pp. 382–387.
SACSAC-2015-FernandezAQVFZC #off the shelf
Introduction to partial time composability for COTS multicores (GF, JA, EQ, TV, LF, MZ, FJC), pp. 1955–1956.
SACSAC-2015-GassaraRJ #approach #architecture #deployment #modelling
A multi-scale modeling approach for software architecture deployment (AG, IBR, MJ), pp. 1405–1410.
SACSAC-2015-GuedesBOX #clustering #graph
Exploring multiple clusterings in attributed graphs (GPG, EB, ESO, GX), pp. 915–918.
SACSAC-2015-IsraelHS #analysis #semantics #summary
Semantic analysis for focused multi-document summarization (fMDS) of text (QI, HH, IYS), pp. 339–344.
SACSAC-2015-JuniorRSM #approach #deployment #non-functional #requirements
A multi-criteria approach for assessing cloud deployment options based on non-functional requirements (RGJ, TR, AS, NCM), pp. 1383–1389.
SACSAC-2015-Khan #network
Multi-criteria based vertical handover decision in heterogeneous wireless network (MK), pp. 720–721.
SACSAC-2015-KhlifKKD #approach #architecture #modelling #towards
Towards a multi-scale modeling approach for software architectures (IK, MHK, AHK, KD), pp. 1468–1470.
SACSAC-2015-MainiS #communication #distributed #using
Distributed task servicing using multiple robots with human-in-the-loop under limited communication range (PM, PBS), pp. 301–306.
SACSAC-2015-MateCEL #automation #video
Automatic multi-camera remix from single video (SM, IDDC, AJE, AL), pp. 1270–1277.
SACSAC-2015-MochalovaN
Multi-stage seed selection for viral marketing (AM, AN), pp. 1181–1183.
SACSAC-2015-SilvaBAR #clustering #prototype #using
Semi-supervised clustering using multi-assistant-prototypes to represent each cluster (WJS, MCNB, SdA, HLR), pp. 831–836.
SACSAC-2015-SilvaLP #locality #replication
Boosting locality in multi-version partial data replication (JAS, JL, HP), pp. 1309–1314.
SACSAC-2015-SoaresMV
Controlling the focus and input events in multimedia applications (LFGS, MFM, ÁLVG), pp. 1278–1284.
SACSAC-2015-SugiyamaS #learning
Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks (AS, TS), pp. 494–500.
SACSAC-2015-VielMT #approach
An approach for controlling synchronous remote instances of a multimedia presentation (CCV, ELM, CACT), pp. 1285–1290.
SACSAC-2015-WangCR #optimisation
Dynamic optimization of multi-layered reinsurance treaties (HW, OACC, ARC), pp. 125–132.
SACSAC-2015-WeberFMS #mining #process
Mining processes with multi-instantiation (IW, MF, JM, JGS), pp. 1231–1237.
SACSAC-2015-XuYYHHK #predict #using
Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction (JX, SY, DY, DH, JH, PK), pp. 2225–2230.
GPCEGPCE-2015-FoustJP #constraints #data flow #generative #source code #user interface #visual notation
Generating reactive programs for graphical user interfaces from multi-way dataflow constraint systems (GF, JJ, SP), pp. 121–130.
GPCEGPCE-2015-MakarovH #compilation #named
CLOP: a multi-stage compiler to seamlessly embed heterogeneous code (DM, MH), pp. 109–112.
ASPLOSASPLOS-2015-ParkPM #collaboration #gpu #named
Chimera: Collaborative Preemption for Multitasking on a Shared GPU (JJKP, YP, SAM), pp. 593–606.
CASECASE-2015-AmriBARF #robust #using
Robust indoor location tracking of multiple inhabitants using only binary sensors (MHA, YB, DA, NR, MF), pp. 194–199.
CASECASE-2015-BaeM #markov #modelling #random
Markovian modeling of multiclass deterministic flow lines with random arrivals: The case of a single-channel (SYB, JRM), pp. 649–654.
CASECASE-2015-CarliDPR #energy #optimisation #performance #using
Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings’ portfolio (RC, MD, RP, LR), pp. 21–26.
CASECASE-2015-ChenTLY #optimisation #parametricity
Multi-objective parameter optimization of multi-pass CNC machining (XC, YT, CL, QY), pp. 45–50.
CASECASE-2015-ChenXZCL #effectiveness #learning #optimisation #simulation
An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation (RC, JX, SZ, CHC, LHL), pp. 702–707.
CASECASE-2015-DamesK #automation #detection #locality #smarttech
Automated detection, localization, and registration of smart devices with multiple robots (PD, VK), pp. 564–571.
CASECASE-2015-DiganiHSS #approach #coordination #polynomial #programming
A Quadratic Programming approach for coordinating multi-AGV systems (VD, MAH, LS, CS), pp. 600–605.
CASECASE-2015-GuoD #bottom-up #coordination
Bottom-up motion and task coordination for loosely-coupled multi-agent systems with dependent local tasks (MG, DVD), pp. 348–355.
CASECASE-2015-GuptaKMW #coordination
Incentive compatible mechanism for coordinated temperature control in multi-occupant buildings (SKG, KK, SM, JTW), pp. 438–443.
CASECASE-2015-HuangJG #distributed #generative #optimisation
Multi-timescale optimization between distributed wind generators and electric vehicles in microgrid (QH, QSJ, XG), pp. 671–676.
CASECASE-2015-JiaSDXLMZ #industrial
Multi-objective position control for an industrial robot calibration system (YJ, CS, ZD, NX, XL, CM, GZ), pp. 1236–1241.
CASECASE-2015-KamraA #integer #programming
A mixed integer programming model for timed deliveries in multirobot systems (NK, NA), pp. 612–617.
CASECASE-2015-KloetzerM #modelling #petri net
Accomplish multi-robot tasks via Petri net models (MK, CM), pp. 304–309.
CASECASE-2015-LaskeyMMPPBKAG #2d #modelling #nondeterminism
Multi-armed bandit models for 2D grasp planning with uncertainty (ML, JM, ZM, FTP, SP, JPvdB, DK, PA, KG), pp. 572–579.
CASECASE-2015-LiaoHJ
Numerical testbed of a multiple-chiller plant for centralized HVAC systems (YL, GH, QsJ), pp. 699–701.
CASECASE-2015-LiX #energy #learning
A multi-grid reinforcement learning method for energy conservation and comfort of HVAC in buildings (BL, LX), pp. 444–449.
CASECASE-2015-LuSJSX #approach #nondeterminism #programming
A chance constrained programming approach for multi-product multi-stage integrated production planning under internal and external uncertainties (SL, HS, CJ, HS, LX), pp. 880–885.
CASECASE-2015-ParisioWKEJ #energy
An MPC-based Energy Management System for multiple residential microgrids (AP, CW, TK, JE, KHJ), pp. 7–14.
CASECASE-2015-RiaziBWVL #energy #optimisation
Energy optimization of multi-robot systems (SR, KB, OW, EV, BL), pp. 1345–1350.
CASECASE-2015-ShellshearCBT #algorithm #concurrent #problem #thread
A multi-threaded memetic packing algorithm for the ISO luggage packing problem (ES, JSC, RB, ST), pp. 1509–1514.
CASECASE-2015-SolisTR #people #towards
Towards developing a multipurpose assistive vehicle robot capable of providing assistance to caregivers and support to elderly people (JS, TDT, JPdlR), pp. 1145–1150.
CASECASE-2015-SustoM #approach #machine learning #predict
Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach (GAS, SFM), pp. 1218–1223.
CASECASE-2015-TorresP #using
Cooperative control of multiple untethered magnetic microrobots using a single magnetic field source (NAT, DOP), pp. 1608–1613.
CASECASE-2015-XieZLSD #agile #analysis #approach #process
Analysis of multi-patient rapid response processes: An iterative approach (XX, ZZ, JL, CHS, PD), pp. 740–745.
CASECASE-2015-YuYS
Motion planning and manipulation of multiple nanowires simultaneouly under electric-fields in fluid suspension (KY, JY, JS), pp. 489–494.
CASECASE-2015-ZhuQZ #clustering #modelling #petri net #scheduling #tool support
Petri net modeling and one-wafer scheduling of single-arm tree-like multi-cluster tools (QZ, YQ, MZ), pp. 292–297.
CASECASE-2015-ZonEHJVSB #delivery #detection #realtime #using
Real-time collision detection for multiple packaging robots using monotonicity of configuration subspaces (RvZ, DE, DH, IJ, RV, RIS, KB), pp. 1638–1643.
CGOCGO-2015-McAfeeO #framework #generative #learning #named
EMEURO: a framework for generating multi-purpose accelerators via deep learning (LCM, KO), pp. 125–135.
CGOCGO-2015-TangZLLHLG #optimisation
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi (WTT, RZ, ML, YL, HPH, XL, RSMG), pp. 136–145.
DACDAC-2015-ChenTSHK #analysis #modelling #reliability
Interconnect reliability modeling and analysis for multi-branch interconnect trees (HBC, SXDT, VS, XH, TK), p. 6.
DACDAC-2015-HanLKNL #framework #optimisation #reduction
A global-local optimization framework for simultaneous multi-mode multi-corner clock skew variation reduction (KH, JL, ABK, SN, JL), p. 6.
DACDAC-2015-HuangFYZL #estimation #performance
Efficient multivariate moment estimation via Bayesian model fusion for analog and mixed-signal circuits (QH, CF, FY, XZ, XL), p. 6.
DACDAC-2015-JungC #embedded #named #performance #platform #simulation
ΣVP: host-GPU multiplexing for efficient simulation of multiple embedded GPUs on virtual platforms (YJ, LPC), p. 6.
DACDAC-2015-PanLYXL #question
Pushing multiple patterning in sub-10nm: are we ready? (DZP, LL, BY, XX, YL), p. 6.
DACDAC-2015-RoyLUP #named #optimisation #paradigm #performance
OSFA: a new paradigm of gate-sizing for power/performance optimizations under multiple operating conditions (SR, DL, JU, DZP), p. 6.
DACDAC-2015-TretterKT #probability
Interleaved multi-bank scratchpad memories: a probabilistic description of access conflicts (AT, PK, LT), p. 6.
DATEDATE-2015-BalboniFB #configuration management #distributed #latency #network #scalability #using
Synergistic use of multiple on-chip networks for ultra-low latency and scalable distributed routing reconfiguration (MB, JF, DB), pp. 806–811.
DATEDATE-2015-CalayirDWP #programmable
Analog neuromorphic computing enabled by multi-gate programmable resistive devices (VC, MD, JAW, LP), pp. 928–931.
DATEDATE-2015-ChenZWWWZ #named #pseudo #simulation
MRP: mix real cores and pseudo cores for FPGA-based chip-multiprocessor simulation (XC, GZ, HW, RW, PW, LZ), pp. 211–216.
DATEDATE-2015-CilardoG #clustering #memory management
Interplay of loop unrolling and multidimensional memory partitioning in HLS (AC, LG), pp. 163–168.
DATEDATE-2015-GarciaMSN #performance
High performance single supply CMOS inverter level up shifter for multi: supply voltages domains (JCG, JAMN, JS, SN), pp. 1273–1276.
DATEDATE-2015-HadjisCSHTA #synthesis
Profiling-driven multi-cycling in FPGA high-level synthesis (SH, AC, RS, YHA, HT, JA), pp. 31–36.
DATEDATE-2015-HanFNQ #energy #fault tolerance #platform #scheduling
Energy minimization for fault tolerant scheduling of periodic fixed-priority applications on multiprocessor platforms (QH, MF, LN, GQ), pp. 830–835.
DATEDATE-2015-HuangHC #algorithm #clustering #framework #problem #scalability
Clustering-based multi-touch algorithm framework for the tracking problem with a large number of points (SLH, SYH, CPC), pp. 719–724.
DATEDATE-2015-HuangLH
Volume-oriented sample preparation for reactant minimization on flow-based microfluidic biochips with multi-segment mixers (CMH, CHL, JDH), pp. 1114–1119.
DATEDATE-2015-KarageorgosSRRT #variability
Impact of interconnect multiple-patterning variability on SRAMs (IK, MS, PR, JR, ZT, DV, RB, SS, WD), pp. 609–612.
DATEDATE-2015-KarkarTMY #communication #distributed
Mixed wire and surface-wave communication fabrics for decentralized on-chip multicasting (AK, KFT, TSTM, AY), pp. 794–799.
DATEDATE-2015-LaerEMWJ #predict
Coherence based message prediction for optically interconnected chip multiprocessors (AVL, CE, MRM, PMW, TMJ), pp. 613–616.
DATEDATE-2015-Leger #adaptation
Combining adaptive alternate test and multi-site (GL), pp. 1389–1394.
DATEDATE-2015-LiXWNP #fine-grained #power management #reduction #using
Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique (JL, QX, YW, SN, MP), pp. 1579–1582.
DATEDATE-2015-MazloumiM #hybrid #memory management
A hybrid packet/circuit-switched router to accelerate memory access in NoC-based chip multiprocessors (AM, MM), pp. 908–911.
DATEDATE-2015-PoplavkoSBBB #execution #modelling #realtime
Models for deterministic execution of real-time multiprocessor applications (PP, DS, PB, SB, MB), pp. 1665–1670.
DATEDATE-2015-RosenMH #architecture #implementation #reliability
Semiautomatic implementation of a bioinspired reliable analog task distribution architecture for multiple analog cores (JvR, MM, LH), pp. 912–915.
DATEDATE-2015-RustP #approximate #design
Design method for multiplier-less two-variable numeric function approximation (JR, SP), pp. 948–953.
DATEDATE-2015-SamieBHH #online
Online binding of applications to multiple clock domains in shared FPGA-based systems (FS, LB, CMH, JH), pp. 25–30.
DATEDATE-2015-TchagouTMVSQ #testing
Reducing trace size in multimedia applications endurance tests (SVET, AT, JFM, BV, MS, RQ), pp. 984–985.
DATEDATE-2015-WeiDC #architecture #memory management #scalability
A scalable and high-density FPGA architecture with multi-level phase change memory (CW, AD, DC), pp. 1365–1370.
DATEDATE-2015-YallaHK #comparison
Comparison of multi-purpose cores of Keccak and AES (PY, EH, JPK), pp. 585–588.
DATEDATE-2015-YuSHEAB #library #statistics #using
Statistical library characterization using belief propagation across multiple technology nodes (LY, SS, CH, IME, DAA, DSB), pp. 1383–1388.
HPCAHPCA-2015-PetrucciLDZMMT #named
Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers (VP, MAL, JD, YZ, DM, JM, LT), pp. 246–258.
HPDCHPDC-2015-KocoloskiL #memory management #named #performance
XEMEM: Efficient Shared Memory for Composed Applications on Multi-OS/R Exascale Systems (BK, JRL), pp. 89–100.
HPDCHPDC-2015-LuuWGRCHPBY #behaviour #platform
A Multiplatform Study of I/O Behavior on Petascale Supercomputers (HL, MW, WG, RBR, PHC, KH, P, SB, YY), pp. 33–44.
ISMMISMM-2015-CameronSV
The judgment of forseti: economic utility for dynamic heap sizing of multiple runtimes (CC, JS, DV), pp. 143–156.
PDPPDP-2015-ArresKB #clustering #optimisation
Optimizing OLAP Cubes Construction by Improving Data Placement on Multi-nodes Clusters (BA, NK, OB), pp. 520–524.
PDPPDP-2015-ChetsaLPSC #energy #framework #performance
Application-Agnostic Framework for Improving the Energy Efficiency of Multiple HPC Subsystems (GLTC, LL, JMP, PS, GDC), pp. 62–69.
PDPPDP-2015-GuerreiroIRT #energy #kernel #optimisation #performance
Multi-kernel Auto-Tuning on GPUs: Performance and Energy-Aware Optimization (JG, AI, NR, PT), pp. 438–445.
PDPPDP-2015-MukunokiIT #implementation #performance
Fast Implementation of General Matrix-Vector Multiplication (GEMV) on Kepler GPUs (DM, TI, DT), pp. 642–650.
PDPPDP-2015-NavarroSSGR #design #locality
Row Tables: Design Choices to Exploit Bank Locality in Multiprogram Workloads (PN, VS, JS, MEG, CGR), pp. 22–26.
PDPPDP-2015-RobertsenWM #data transfer #memory management #simulation #strict
Lattice Boltzmann Simulations at Petascale on Multi-GPU Systems with Asynchronous Data Transfer and Strictly Enforced Memory Read Alignment (FR, JW, KM), pp. 604–609.
PDPPDP-2015-RohrL #flexibility #library #scalability
A Flexible and Portable Large-Scale DGEMM Library for Linpack on Next-Generation Multi-GPU Systems (DR, VL), pp. 664–668.
PDPPDP-2015-SelfaSRG #metric #performance
Methodologies and Performance Metrics to Evaluate Multiprogram Workloads (VS, JS, CGR, MEG), pp. 150–154.
PDPPDP-2015-UtreraGM #communication #performance
Evaluating the Performance Impact of Communication Imbalance in Sparse Matrix-Vector Multiplication (GU, MG, XM), pp. 321–328.
PPoPPPPoPP-2015-AlSaberK #performance #semantics
SemCache++: semantics-aware caching for efficient multi-GPU offloading (NA, MK), pp. 255–256.
PPoPPPPoPP-2015-ChabbiFM #performance
High performance locks for multi-level NUMA systems (MC, MWF, JMMC), pp. 215–226.
PPoPPPPoPP-2015-KimLV #programming
An OpenACC-based unified programming model for multi-accelerator systems (JK, SL, JSV), pp. 257–258.
PPoPPPPoPP-2015-SaillardCB #concurrent #thread #validation
Static/Dynamic validation of MPI collective communications in multi-threaded context (ES, PC, DB), pp. 279–280.
ESOPESOP-2015-CoxCR #abstraction #source code
Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages (AC, BYEC, XR), pp. 483–509.
FASEFASE-2015-BurdekLBHRA015 #generative #product line #reuse #testing
Facilitating Reuse in Multi-goal Test-Suite Generation for Software Product Lines (JB, ML, SB, AH, AvR, SA, DB), pp. 84–99.
FoSSaCSFoSSaCS-2015-KieferMW #automaton
Minimisation of Multiplicity Tree Automata (SK, IM, JW), pp. 297–311.
FoSSaCSFoSSaCS-2015-Velner #decidability #game studies #robust
Robust Multidimensional Mean-Payoff Games are Undecidable (YV), pp. 312–327.
STOCSTOC-2015-AmbainisFG #matrix #performance
Fast Matrix Multiplication: Limitations of the Coppersmith-Winograd Method (AA, YF, FLG), pp. 585–593.
STOCSTOC-2015-HenzingerKNS #online #problem
Unifying and Strengthening Hardness for Dynamic Problems via the Online Matrix-Vector Multiplication Conjecture (MH, SK, DN, TS), pp. 21–30.
STOCSTOC-2015-ZhuLO #matrix
Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates (ZAZ, ZL, LO), pp. 237–245.
TACASTACAS-2015-BassetKTW #game studies #probability #synthesis
Strategy Synthesis for Stochastic Games with Multiple Long-Run Objectives (NB, MZK, UT, CW), pp. 256–271.
TACASTACAS-2015-BrazdilCFK #named #synthesis
MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives (TB, KC, VF, AK), pp. 181–187.
CAVCAV-2015-RandourRS #markov #process #query
Percentile Queries in Multi-dimensional Markov Decision Processes (MR, JFR, OS), pp. 123–139.
CAVCAV-2015-BrenguierR #game studies
Pareto Curves of Multidimensional Mean-Payoff Games (RB, JFR), pp. 251–267.
CAVCAV-2015-VijayaraghavanC #composition #deduction #design #hardware #verification
Modular Deductive Verification of Multiprocessor Hardware Designs (MV, AC, A, ND), pp. 109–127.
ICSTICST-2015-ErmanTBRA #approach #automation #clustering #development #information management #navigation #testing
Navigating Information Overload Caused by Automated Testing — a Clustering Approach in Multi-Branch Development (NE, VT, MB, PR, AA), pp. 1–9.
ICSTICST-2015-LeottaSRT #robust #testing #using #web
Using Multi-Locators to Increase the Robustness of Web Test Cases (ML, AS, FR, PT), pp. 1–10.
ICSTICST-2015-MondalHD #test coverage #testing
Exploring Test Suite Diversification and Code Coverage in Multi-Objective Test Case Selection (DM, HH, SD), pp. 1–10.
ICSTICST-2015-TokcanOT #automation #development #framework #named #testing
MetTest: A Test Automation Framework for Development of a Point-To-Multipoint Radio (MDT, OO, HT), pp. 1–2.
ICTSSICTSS-2015-GunicenJY #adaptation #generative #sequence #using
Using Multiple Adaptive Distinguishing Sequences for Checking Sequence Generation (CG, GVJ, HY), pp. 19–34.
ISSTAISSTA-2015-EpitropakisYHB #empirical #evaluation #performance #testing
Empirical evaluation of pareto efficient multi-objective regression test case prioritisation (MGE, SY, MH, EKB), pp. 234–245.
ISSTAISSTA-2015-XieLLLC #automation #named #string #summary
S-looper: automatic summarization for multipath string loops (XX, YL, WL, XL, HC), pp. 188–198.
LICSLICS-2015-ChatterjeeKK #markov #process
Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes (KC, ZK, JK), pp. 244–256.
LICSLICS-2015-ClementeR #problem #worst-case
Multidimensional beyond Worst-Case and Almost-Sure Problems for Mean-Payoff Objectives (LC, JFR), pp. 257–268.
CBSECBSE-2014-DelavalGRP #composition #coordination
Modular coordination of multiple autonomic managers (GD, SMKG, ÉR, NDP), pp. 3–12.
WICSAWICSA-2014-SapienzaCP #architecture #clustering
Architectural Decisions for HW/SW Partitioning Based on Multiple Extra-Functional Properties (GS, IC, PP), pp. 175–184.
DocEngDocEng-2014-MartinsP #documentation #named #reuse
ActiveTimesheets: extending web-based multimedia documents with dynamic modification and reuse features (DSM, MdGCP), pp. 3–12.
DocEngDocEng-2014-SarkisCD #refactoring #web
The virtual splitter: refactoring web applications for themultiscreen environment (MS, CC, JCD), pp. 139–142.
DRRDRR-2014-LundRW #fault #how #question
How well does multiple OCR error correction generalize? (WBL, EKR, DDW), p. ?–13.
HTHT-2014-KimWWO #analysis #twitter
Sociolinguistic analysis of Twitter in multilingual societies (SK, IW, LW, AHO), pp. 243–248.
JCDLJCDL-2014-BatjargalKKM #database #identification #image #using
Identifying the same records across multiple Ukiyo-e image databases using textual data in different languages (BB, TK, FK, AM), pp. 193–196.
JCDLJCDL-2014-ChenAK #information management #metadata
Enabling multilingual information access to digital collections: An investigation of metadata records translation (JC, OA, RK), pp. 467–468.
SIGMODSIGMOD-2014-AilamakiLTPP #how
How to stop under-utilization and love multicores (AA, EL, PT, DP, IP), pp. 189–192.
SIGMODSIGMOD-2014-CheneyLW #evaluation #performance #query #relational
Query shredding: efficient relational evaluation of queries over nested multisets (JC, SL, PW), pp. 1027–1038.
SIGMODSIGMOD-2014-KieferKSHML #in memory
ERIS live: a NUMA-aware in-memory storage engine for tera-scale multiprocessor systems (TK, TK, BS, DH, DM, WL), pp. 689–692.
SIGMODSIGMOD-2014-Kroetsch #database #in memory #statistics
Multi-dimensional data statistics for columnar in-memory databases (CK), pp. 1605–1606.
SIGMODSIGMOD-2014-LeFevreSHTPC14a #big data #named #query
MISO: souping up big data query processing with a multistore system (JL, JS, HH, JT, NP, MJC), pp. 1591–1602.
SIGMODSIGMOD-2014-TaharaDA #named #sql
Sinew: a SQL system for multi-structured data (DT, TD, DJA), pp. 815–826.
SIGMODSIGMOD-2014-XuKM #framework #nondeterminism #performance #summary
Efficient summarization framework for multi-attribute uncertain data (JX, DVK, SM), pp. 421–432.
SIGMODSIGMOD-2014-ZaschkeZN
The PH-tree: a space-efficient storage structure and multi-dimensional index (TZ, CZ, MCN), pp. 397–408.
VLDBVLDB-2014-ChairunnandaDO #database #named #replication
ConfluxDB: Multi-Master Replication for Partitioned Snapshot Isolation Databases (PC, KD, MTÖ), pp. 947–958.
VLDBVLDB-2014-KunjirKB #clustering #named #towards
Thoth: Towards Managing a Multi-System Cluster (MK, PK, SB), pp. 1689–1692.
VLDBVLDB-2014-LiuHRLJWCL #effectiveness #grid #smarttech
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index (YL, SH, TR, WL, HAJ, KW, JC, JL), pp. 1496–1507.
VLDBVLDB-2014-SadoghiCBNR #concurrent #database
Reducing Database Locking Contention Through Multi-version Concurrency (MS, MC, BB, FN, KAR), pp. 1331–1342.
VLDBVLDB-2014-WangKLW #named
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data (QW, MK, CL, RCWW), pp. 1645–1648.
VLDBVLDB-2014-WangOYZZ #effectiveness #retrieval
Effective Multi-Modal Retrieval based on Stacked Auto-Encoders (WW, BCO, XY, DZ, YZ), pp. 649–660.
VLDBVLDB-2014-YunYHVD #algorithm #distributed #matrix #named #probability
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion (HY, HFY, CJH, SVNV, ISD), pp. 975–986.
VLDBVLDB-2015-GicevaARH14 #deployment #query
Deployment of Query Plans on Multicores (JG, GA, TR, TH), pp. 233–244.
VLDBVLDB-2015-ThenKCHPK0V14 #graph #performance #traversal
The More the Merrier: Efficient Multi-Source Graph Traversal (MT, MK, FC, TAHV, KP, AK, TN, HTV), pp. 449–460.
VLDBVLDB-2015-TrummerK14 #optimisation #parametricity #query
Multi-Objective Parametric Query Optimization (IT, CK), pp. 221–232.
EDMEDM-2014-ClementORL #education #online #optimisation #sequence
Online Optimization of Teaching Sequences with Multi-Armed Bandits (BC, PYO, DR, ML0), pp. 269–272.
EDMEDM-2014-HuangGB
General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge (YH0, JPGB, PB), pp. 84–91.
EDMEDM-2014-LiuMBP #learning
Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits (YEL, TM, EB, ZP), pp. 161–168.
EDMEDM-2014-NetoBGCWC #challenge #framework #learning #online #platform #student
Challenges on adopting BKT to model student knowledge in multi-context online learning platform (WLDMN, EB, FG, LC, NLW, PC), pp. 339–340.
EDMEDM-2014-OstrowH #authentication #comparison #feedback #testing #video
Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments (KO, NTH), pp. 296–299.
EDMEDM-2014-SilvaA #mining #modelling #student
Mining Multi-dimensional Patterns for Student Modelling (AS0, CA), pp. 393–394.
EDMEDM-2014-YeKB #identification #learning #mining #process
Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data (CY, JSK, GB), pp. 389–390.
ITiCSEITiCSE-2014-PolitzPKF #named #overview #programming
CaptainTeach: multi-stage, in-flow peer review for programming assignments (JGP, DP, SK, KF), pp. 267–272.
ITiCSEITiCSE-2014-WangCMSW #data access #education #named #security #using #visualisation
MLSvisual: a visualization tool for teaching access control using multi-level security (MW, SC, JM, CKS, CW), pp. 93–98.
SANERCSMR-WCRE-2014-XiaFLCW #behaviour #learning #towards
Towards more accurate multi-label software behavior learning (XX, YF, DL, ZC, XW), pp. 134–143.
ICSMEICSME-2014-XuanM #fault #learning #locality #metric #ranking
Learning to Combine Multiple Ranking Metrics for Fault Localization (JX, MM), pp. 191–200.
MSRMSR-2014-GuptaSP #fault #mining #perspective #process #repository
Process mining multiple repositories for software defect resolution from control and organizational perspective (MG, AS, SP), pp. 122–131.
SCAMSCAM-2014-CaraccioloCSL #corpus #named
Pangea: A Workbench for Statically Analyzing Multi-language Software Corpora (AC, AC, BS, ML), pp. 71–76.
DLTDLT-J-2013-AtigKS14 #order
Adjacent Ordered Multi-Pushdown Systems (MFA, KNK, PS), pp. 1083–1096.
DLTDLT-J-2013-BonomoMRRS14 #sorting #word
Sorting conjugates and Suffixes of Words in a Multiset (SB, SM, AR, GR, MS), p. 1161–?.
DLTDLT-J-2013-KutribMW14a #automaton #finite
Stateless One-Way Multi-Head Finite Automata with Pebbles (MK, AM, MW), pp. 1141–1160.
CIAACIAA-2014-Fujiyoshi #automaton #recognition
Recognition of Labeled Multidigraphs by Spanning Tree Automata (AF), pp. 188–199.
CIAACIAA-2014-Maletti #bottom-up #power of #transducer
The Power of Regularity-Preserving Multi Bottom-up Tree Transducers (AM), pp. 278–289.
ICALPICALP-v1-2014-GuptaTW #optimisation
Changing Bases: Multistage Optimization for Matroids and Matchings (AG, KT, UW), pp. 563–575.
ICALPICALP-v2-2014-NikzadR #algorithm #approximate #problem
Sending Secrets Swiftly: Approximation Algorithms for Generalized Multicast Problems (AN, RR), pp. 568–607.
LATALATA-2014-Cerny #composition #morphism #problem
Solutions to the Multi-dimensional Equal Powers Problem Constructed by Composition of Rectangular Morphisms (AC), pp. 273–284.
FMFM-2014-BaeOM #analysis #semantics
Definition, Semantics, and Analysis of Multirate Synchronous AADL (KB, PCÖ, JM), pp. 94–109.
IFMIFM-2014-TofanSR #composition #proving
A Compositional Proof Method for Linearizability Applied to a Wait-Free Multiset (BT, GS, WR), pp. 357–372.
SEFMSEFM-2014-GrovO #analysis #consistency #formal method
Increasing Consistency in Multi-site Data Stores: Megastore-CGC and Its Formal Analysis (JG, PCÖ), pp. 159–174.
FLOPSFLOPS-2014-BarkatiWJ #interpreter #named
Faustine: A Vector Faust Interpreter Test Bed for Multimedia Signal Processing — System Description (KB, HW, PJ), pp. 69–85.
FLOPSFLOPS-2014-HanadaI #on the #persistent #programming
On Cross-Stage Persistence in Multi-Stage Programming (YH, AI), pp. 103–118.
FLOPSFLOPS-2014-Magalhaes #parametricity #programming
Generic Programming with Multiple Parameters (JPM), pp. 136–151.
LISPILC-2014-Castro-Castilla #development #mobile #platform
Multiplatform and Mobile App Development in Scheme with Gambit/SchemeSpheres (ÁCC), p. 4.
AIIDEAIIDE-2014-BlackfordL #game studies #order #problem #realtime
The Real-Time Strategy Game Multi-Objective Build Order Problem (JB, GBL).
CHI-PLAYCHI-PLAY-2014-CarterNG #design #game studies
Screen ecologies, multi-gaming and designing for different registers of engagement (MC, BN, MRG), pp. 37–46.
CHI-PLAYCHI-PLAY-2014-FinneganVMMB #game studies
Reindeer & wolves: exploring sensory deprivation in multiplayer digital bodily play (DJF, EV, RM, FM0, RB), pp. 411–412.
CHI-PLAYCHI-PLAY-2014-Mirza-BabaeiGCN #artificial reality #comprehension #game studies
Understanding expectations with multiple controllers in an augmented reality videogame (PMB, NG, JPC, LEN, DMJ0), pp. 201–206.
CoGCIG-2014-DahlskogT #generative
A multi-level level generator (SD, JT), pp. 1–8.
CoGCIG-2014-EdelkampP #game studies
Multi-goal motion planning with physics-based game engines (SE, EP), pp. 1–8.
CoGCIG-2014-Tsang #simulation
Applying fingerprint multilateration to population dynamics in Prisoner's Dilemma simulations (JT), pp. 1–8.
FDGFDG-2014-Holmes #editing #game studies
A web-based editor for multiplayer choice games (IH).
CoGVS-Games-2014-CassarMZ #game studies #hybrid
Hybrid Peer to Peer and Server Client System for Limited Users Multiplayer First Person Style Games (SC, MM, SZ), pp. 1–8.
CoGVS-Games-2014-CassolaPFMACCM #artificial reality #named #using
Online-Gym: Multiuser Virtual Gymnasium Using RINIONS and Multiple Kinect Devices (FC, HP, BF, PM0, SA, FC, FdC, LM), pp. 1–4.
CHICHI-2014-0002GF #named #tutorial
CADament: a gamified multiplayer software tutorial system (WL, TG, GWF), pp. 3369–3378.
CHICHI-2014-BiOZ #optimisation
Both complete and correct?: multi-objective optimization of touchscreen keyboard (XB, TO, SZ), pp. 2297–2306.
CHICHI-2014-DengRKBBF #scalability
Scalable multi-label annotation (JD, OR, JK, MSB, ACB, FFL), pp. 3099–3102.
CHICHI-2014-GaoYHEF #automation #communication
Effects of public vs. private automated transcripts on multiparty communication between native and non-native english speakers (GG, NY, AMJH, AE, SRF), pp. 843–852.
CHICHI-2014-GoelLAPBHB #interactive #named #using
SurfaceLink: using inertial and acoustic sensing to enable multi-device interaction on a surface (MG, BL, MTIA, SP, GB, SH, BB), pp. 1387–1396.
CHICHI-2014-Hale #network #twitter
Global connectivity and multilinguals in the Twitter network (SAH), pp. 833–842.
CHICHI-2014-KusunokiSWMZTB #ad hoc #design
Balancing design tensions: iterative display design to support ad hoc and multidisciplinary medical teamwork (DSK, AS, NW, IM, ZZ, GT, RSB), pp. 3777–3786.
CHICHI-2014-LissermannHSSM #collaboration #named
Permulin: mixed-focus collaboration on multi-view tabletops (RL, JH, MS, JS, MM), pp. 3191–3200.
CHICHI-2014-MarkWN #empirical #online #process
Stress and multitasking in everyday college life: an empirical study of online activity (GM, YW, MN), pp. 41–50.
CHICHI-2014-MasdenGGGE #community #social #social media
Tensions in scaling-up community social media: a multi-neighborhood study of nextdoor (CAM, CG, REG, EG, WKE), pp. 3239–3248.
CHICHI-2014-NguyenK #matter #performance
Orientation matters: efficiency of translation-rotation multitouch tasks (QN, MK), pp. 2013–2016.
CHICHI-2014-NicolauMGGH
B#: chord-based correction for multitouch braille input (HN, KM, TJG, JG, VLH), pp. 1705–1708.
CHICHI-2014-OlafsdottirTA #interactive
Prospective motor control on tabletops: planning grasp for multitouch interaction (HBO, TT, CA), pp. 2893–2902.
CHICHI-2014-PanS
A gaze-preserving situated multiview telepresence system (YP, AS), pp. 2173–2176.
CHICHI-2014-RendlGPBH #gesture #named
Presstures: exploring pressure-sensitive multi-touch gestures on trackpads (CR, PG, KP, MB, MH), pp. 431–434.
CHICHI-2014-RuizVLAC #gesture #interactive #video
Multi-viewer gesture-based interaction for omni-directional video (GARR, DV, KL, FA, EC), pp. 4077–4086.
CHICHI-2014-RzeszotarskiK #named #visualisation
Kinetica: naturalistic multi-touch data visualization (JMR, AK), pp. 897–906.
CHICHI-2014-WagnerLS
Multi-finger chords for hand-held tablets: recognizable and memorable (JW, EL, TS), pp. 2883–2892.
CHICHI-2014-WinklerLDKR #interactive #mobile #named
SurfacePhone: a mobile projection device for single- and multiuser everywhere tabletop interaction (CW, ML, DD, AK, ER), pp. 3513–3522.
CHICHI-2014-ZhangH #comprehension #modelling
Understanding multitasking through parallelized strategy exploration and individualized cognitive modeling (YZ, AJH), pp. 3885–3894.
CHICHI-2014-ZhaoBCPEKR #collaboration #named #sketching
skWiki: a multimedia sketching system for collaborative creativity (ZZ, SKB, SKC, DGP, NE, LGK, KR), pp. 1235–1244.
CSCWCSCW-2014-GaoXCF #how
How beliefs about the presence of machine translation impact multilingual collaborations (GG, BX, DC, SRF), pp. 1549–1560.
CSCWCSCW-2014-SemaanRDM #social #social media #towards
Social media supporting political deliberation across multiple public spheres: towards depolarization (BS, SPR, SKD, MM), pp. 1409–1421.
CSCWCSCW-2014-ShoresHSKR #game studies #identification
The identification of deviance and its impact on retention in a multiplayer game (KBS, YH, KLS, RK, JR), pp. 1356–1365.
HCIDUXU-DI-2014-Al-SalhieAA #detection
Multimedia Surveillance in Event Detection: Crowd Analytics in Hajj (LAS, MAZ, AAW), pp. 383–392.
HCIDUXU-DI-2014-HesseyCW #gesture #user interface
Beyond Fingers and Thumbs — A Graceful Touch UI — Elegant Multi-touch and Gesture UI with Context Dependent Prompting (SH, SHC, CW), pp. 562–573.
HCIDUXU-DI-2014-RenziF #gesture #interactive #interface #modelling
Affordances and Gestural Interaction on Multi-touch Interface Systems: Building New Mental Models (ABR, SF), pp. 615–623.
HCIDUXU-DP-2014-Patsoule #agile #interactive
Interactions around a Multi-touch Tabletop: A Rapid Ethnographic Study in a Museum (EP), pp. 434–445.
HCIDUXU-ELAS-2014-CravenLM #design #research
Developing mHealth Apps with Researchers: Multi-Stakeholder Design Considerations (MPC, ARL, JLM), pp. 15–24.
HCIDUXU-ELAS-2014-George-PalilonisB #student #tablet #tool support
SMART Note: Student-Centered Multimedia Active Reading Tools for Tablet Textbooks (JGP, DB), pp. 217–229.
HCIDUXU-ELAS-2014-MustafaMMAAMEBK #development #interface #learning
Rural Area Development through Multi-interface Technology and Virtual Learning System (FuM, AM, SM, SA, UA, SM, HE, TAB, MFK), pp. 442–451.
HCIDUXU-ELAS-2014-YangWW #safety
Impact of Multi-sensory On-Bicycle Rider Assistance Devices on Rider Concentration and Safety (CYY, YTW, CTW), pp. 378–388.
HCIDUXU-TMT-2014-Olaverri-MonrealOB #usability
Multicultural Text Entry: A Usability Study (COM, MLLRO, KB), pp. 329–339.
HCIHCI-AIMT-2014-HottaHOK #detection #estimation #fault
Detecting Address Estimation Errors from Users’ Reactions in Multi-user Agent Conversation (RH, HHH, SO, KK), pp. 245–253.
HCIHCI-AIMT-2014-HumayounRHE #gesture #interactive #mobile #web
Adding Multi-Touch Gesture Interaction in Mobile Web Applications (SRH, FAR, SH, AE), pp. 48–57.
HCIHCI-AIMT-2014-MiedaODTKK
Expressing Observation Direction through Face and Body Rotation in a Multi-user Conversation Setting (SM, SO, MD, HT, YK, AK), pp. 273–280.
HCIHCI-AIMT-2014-NieblingSKS #diagrams #editing #gesture #interactive #modelling
Model-Based Multi-touch Gesture Interaction for Diagram Editors (FN, DS, RK, TS), pp. 121–130.
HCIHCI-AIMT-2014-PalomaresLR #evaluation
Study and Evaluation of Separability Techniques and Occlusion in Multitouch Surfaces (JP, MEL, AR), pp. 293–304.
HCIHCI-AIMT-2014-RoshandelMMTK #3d #authentication
Multi-sensor Finger Ring for Authentication Based on 3D Signatures (MR, AM, PM, ST, HK), pp. 131–138.
HCIHCI-AIMT-2014-RoshandelMMTK14a #gesture #recognition
Multi-sensor Based Gestures Recognition with a Smart Finger Ring (MR, AM, PM, ST, HK), pp. 316–324.
HCIHCI-AIMT-2014-SchmidtW #gesture #predict
Prediction of Multi-touch Gestures during Input (MS, GW), pp. 158–169.
HCIHCI-AS-2014-PortouliP #adaptation
Adaptive Warning Strategies from Multiple Systems: A Simulator Study with Drivers with Different Reaction Times (EP, VP), pp. 485–493.
HCIHCI-AS-2014-SjolinderEBFHSNB #approach #development
A Multi-disciplinary Approach in the Development of a Stroke Rehabilitation Tool (MS, ME, ILB, MF, PH, DS, SN, JB), pp. 351–362.
HCIHCI-TMT-2014-NguyenTD #development #platform #user interface
Picture-Driven User Interface Development for Applications on Multi-platforms (VTN, MTT, ADD), pp. 350–360.
HCIHCI-TMT-2014-OrtegaLHBRA #formal method #modelling #named #petri net #using
PeNTa: Formal Modeling for Multi-touch Systems Using Petri Net (FRO, SL, FH, AB, NR, MA), pp. 361–372.
HCIHIMI-AS-2014-MakiY #3d #image #using
3D CG Integral Photography Artwork Using Glittering Effects in the Post-processing of Multi-viewpoint Rendered Images (NM, KY), pp. 546–554.
HCIHIMI-DE-2014-OzawaMDTK #evaluation #named
MulDiRoH: An Evaluation of Facial Direction Expression in Teleconferencing on a Multi-view Display System (SO, SM, MD, HT, AK), pp. 525–535.
HCIHIMI-DE-2014-SutoPK #collaboration #data type #design
A Collaboration Support Tool for Multi-cultural Design Team Based on Extended ADT Model (HS, PP, NK), pp. 548–557.
HCIHIMI-DE-2014-SuzukiSI #interactive
Analyzing Structure of Multiparty Interaction: Group Size Effect in Story-Retelling Task (NS, MS, NI), pp. 261–270.
HCILCT-NLE-2014-ImranK #framework #interactive #named #platform
HIP — A Technology-Rich and Interactive Multimedia Pedagogical Platform (ASI, SJK), pp. 151–160.
HCILCT-NLE-2014-TaraghiSES #classification #learning #markov
Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication (BT, AS, ME, MS), pp. 322–333.
HCISCSM-2014-SolingerHHFL #approach #facebook #predict #social #social media
Beyond Facebook Personality Prediction: — A Multidisciplinary Approach to Predicting Social Media Users’ Personality (CS, LMH, SHH, RF, CL), pp. 486–493.
CAiSECAiSE-2014-FolinoGP #low level #mining #modelling #predict #process
Mining Predictive Process Models out of Low-level Multidimensional Logs (FF, MG, LP), pp. 533–547.
EDOCEDOC-2014-WeissK #lifecycle
A Life Cycle for Coupled Multi-scale, Multi-field Experiments Realized through Choreographies (AW, DK), pp. 234–241.
ICEISICEIS-v1-2014-FaheemK #algorithm #architecture #case study #framework #problem
A Multiagent-based Framework for Solving Computationally Intensive Problems on Heterogeneous Architectures — Bioinformatics Algorithms as a Case Study (HMF, BKR), pp. 526–533.
ICEISICEIS-v1-2014-HuangZZ #clustering #generative
Multi-domain Schema Clustering and Hierarchical Mediated Schema Generation (QH, CZ, JZ), pp. 111–118.
ICEISICEIS-v1-2014-PintoNH #optimisation
Multi-objective Optimization of Investment Strategies — Based on Evolutionary Computation Techniques, in Volatile Environments (JMP, RFN, NH), pp. 480–488.
ICEISICEIS-v1-2014-SilvaA #case study #mining
Multi-dimensional Pattern Mining — A Case Study in Healthcare (AS, CA), pp. 273–280.
ICEISICEIS-v2-2014-ChangS
Cooperation Strategies for Multi-user Transmission in Manhattan Environment (JC, WS), pp. 415–419.
ICEISICEIS-v2-2014-Gateau #in the cloud #monitoring
A Multi-agent System to Monitor SLA for Cloud Computing (BG), pp. 647–652.
ICEISICEIS-v2-2014-PintoDOC #aspect-oriented #development #framework #modelling #product line #programming #towards
Evaluating the Effort for Modularizing Multiple-Domain Frameworks Towards Framework Product Lines with Aspect-oriented Programming and Model-driven Development (VHSCP, RSD, ALO, VVdC), pp. 60–70.
ICEISICEIS-v3-2014-Guerreiro #framework #towards #transaction
Towards Multi-level Organizational Control Framework to Manage the Business Transaction Workarounds (SG), pp. 288–294.
CIKMCIKM-2014-BellaachiaA #ranking #summary
Multi-document Hyperedge-based Ranking for Text Summarization (AB, MAD), pp. 1919–1922.
CIKMCIKM-2014-DongYMLSWWGY #statistics
Maximizing Multi-scale Spatial Statistical Discrepancy (WD, RY, CM, CL, LS, LW, YW, PG, JY), pp. 471–480.
CIKMCIKM-2014-DrumondDSN #modelling #optimisation
Optimizing Multi-Relational Factorization Models for Multiple Target Relations (LRD, EDA, LST, WN), pp. 191–200.
CIKMCIKM-2014-GoncalvesDCSZB #learning
Multi-task Sparse Structure Learning (ARG, PD, SC, VS, FJVZ, AB), pp. 451–460.
CIKMCIKM-2014-GuiSHB #modelling #network #topic
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
CIKMCIKM-2014-HongBH #classification #framework
A Mixtures-of-Trees Framework for Multi-Label Classification (CH, IB, MH), pp. 211–220.
CIKMCIKM-2014-JinZXDLH #learning
Multi-task Multi-view Learning for Heterogeneous Tasks (XJ, FZ, HX, CD, PL, QH), pp. 441–450.
CIKMCIKM-2014-LimsopathamMO #modelling #ranking #towards
Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients (NL, CM, IO), pp. 1639–1648.
CIKMCIKM-2014-MaoWHO #classification #learning #linear
Nonlinear Classification via Linear SVMs and Multi-Task Learning (XM, OW, WH, PO), pp. 1955–1958.
CIKMCIKM-2014-NguyenL #clustering
Dynamic Clustering of Contextual Multi-Armed Bandits (TTN, HWL), pp. 1959–1962.
CIKMCIKM-2014-QianSS #database #scalability #statistics
Computing Multi-Relational Sufficient Statistics for Large Databases (ZQ, OS, YLS), pp. 1249–1258.
CIKMCIKM-2014-QianZ #clustering #feature model #web
Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data (MQ, CZ), pp. 1963–1966.
CIKMCIKM-2014-SchneiderBV #linear
Solving Linear SVMs with Multiple 1D Projections (JS, JB, MV), pp. 221–230.
CIKMCIKM-2014-SchuthSWLR #evaluation #online #performance
Multileaved Comparisons for Fast Online Evaluation (AS, FS, SW, DL, MdR), pp. 71–80.
CIKMCIKM-2014-ShenJ #information management #network #online #social
Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks (YS, HJ), pp. 381–390.
CIKMCIKM-2014-UysalBSS #approximate #database #distance #performance #scalability #using
Efficient Filter Approximation Using the Earth Mover’s Distance in Very Large Multimedia Databases with Feature Signatures (MSU, CB, JS, TS), pp. 979–988.
CIKMCIKM-2014-VatsalanC #database #privacy #scalability
Scalable Privacy-Preserving Record Linkage for Multiple Databases (DV, PC), pp. 1795–1798.
CIKMCIKM-2014-WuHPZCZ #feature model #learning
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning (JW, ZH, SP, XZ, ZC, CZ), pp. 1699–1708.
CIKMCIKM-2014-XiePLW #framework #image #learning
A Cross-modal Multi-task Learning Framework for Image Annotation (LX, PP, YL, SW), pp. 431–440.
CIKMCIKM-2014-YangLLLH #automation #clustering #detection #social #using
Automatic Social Circle Detection Using Multi-View Clustering (YY, CL, XL, BL, JH), pp. 1019–1028.
CIKMCIKM-2014-YuR
Search Result Diversification via Filling Up Multiple Knapsacks (HY, FR), pp. 609–618.
CIKMCIKM-2014-ZhangLLW #graph #named
PatentDom: Analyzing Patent Relationships on Multi-View Patent Graphs (LZ, LL, TL, DW), pp. 1369–1378.
ECIRECIR-2014-BouchouchaLN #query
Integrating Multiple Resources for Diversified Query Expansion (AB, XL, JYN), pp. 437–442.
ECIRECIR-2014-MarcheggianiTE0 #aspect-oriented #mining #random
Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining (DM, OT, AE, FS), pp. 273–285.
ECIRECIR-2014-SchnitzerFT #retrieval
A Case for Hubness Removal in High-Dimensional Multimedia Retrieval (DS, AF, NT), pp. 687–692.
ECIRECIR-2014-TsikrikaD #image
Multi-evidence User Group Discovery in Professional Image Search (TT, CD), pp. 693–699.
ICMLICML-c1-2014-AzadiS #probability #towards
Towards an optimal stochastic alternating direction method of multipliers (SA, SS), pp. 620–628.
ICMLICML-c1-2014-ChenLL #online #problem
Boosting with Online Binary Learners for the Multiclass Bandit Problem (STC, HTL, CJL), pp. 342–350.
ICMLICML-c1-2014-LiL #classification
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification (CLL, HTL), pp. 423–431.
ICMLICML-c1-2014-NguyenPNVB #clustering #parametricity
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts (TVN, DQP, XN, SV, HB), pp. 288–296.
ICMLICML-c1-2014-SeldinBCA #predict
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations (YS, PLB, KC, YAY), pp. 280–287.
ICMLICML-c1-2014-Suzuki #coordination #probability
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers (TS), pp. 736–744.
ICMLICML-c1-2014-TaiebH
Boosting multi-step autoregressive forecasts (SBT, RJH), pp. 109–117.
ICMLICML-c1-2014-YogatamaS #word
Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers (DY, NAS), pp. 656–664.
ICMLICML-c1-2014-Yu0KD #learning #scalability
Large-scale Multi-label Learning with Missing Labels (HFY, PJ, PK, ISD), pp. 593–601.
ICMLICML-c1-2014-ZhongK #performance #probability
Fast Stochastic Alternating Direction Method of Multipliers (WZ, JTYK), pp. 46–54.
ICMLICML-c2-2014-AgarwalKKSV #predict #scalability
Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.
ICMLICML-c2-2014-BeijbomSKV
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting (OB, MJS, DJK, NV), pp. 586–594.
ICMLICML-c2-2014-Bou-AmmarERT #learning #online #policy
Online Multi-Task Learning for Policy Gradient Methods (HBA, EE, PR, MET), pp. 1206–1214.
ICMLICML-c2-2014-ChakrabartiFCM #network #scalability
Joint Inference of Multiple Label Types in Large Networks (DC, SF, JC, SAM), pp. 874–882.
ICMLICML-c2-2014-HuS #machine learning #predict
Multi-period Trading Prediction Markets with Connections to Machine Learning (JH, AJS), pp. 1773–1781.
ICMLICML-c2-2014-JawanpuriaVN #feature model #kernel #learning #on the
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection (PJ, MV, JSN), pp. 118–126.
ICMLICML-c2-2014-KondorTG #matrix
Multiresolution Matrix Factorization (RK, NT, VG), pp. 1620–1628.
ICMLICML-c2-2014-KontorovichW #nearest neighbour
Maximum Margin Multiclass Nearest Neighbors (AK, RW), pp. 892–900.
ICMLICML-c2-2014-LinDH0 #classification #encoding
Multi-label Classification via Feature-aware Implicit Label Space Encoding (ZL, GD, MH, JW), pp. 325–333.
ICMLICML-c2-2014-LiuZBP #dependence #modelling #testing #visual notation
Multiple Testing under Dependence via Semiparametric Graphical Models (JL, CZ, ESB, DP), pp. 955–963.
ICMLICML-c2-2014-LiZ0 #learning
Bayesian Max-margin Multi-Task Learning with Data Augmentation (CL, JZ, JC), pp. 415–423.
ICMLICML-c2-2014-NguyenMVEB #analysis #correlation
Multivariate Maximal Correlation Analysis (HVN, EM, JV, PE, KB), pp. 775–783.
ICMLICML-c2-2014-NiuDPS #approximate #learning
Transductive Learning with Multi-class Volume Approximation (GN, BD, MCdP, MS), pp. 1377–1385.
ICMLICML-c2-2014-RaiWGCDC #composition #rank #scalability
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.
ICMLICML-c2-2014-RodriguesPR #classification #learning #process
Gaussian Process Classification and Active Learning with Multiple Annotators (FR, FCP, BR), pp. 433–441.
ICMLICML-c2-2014-SongADX #estimation #modelling #parametricity
Nonparametric Estimation of Multi-View Latent Variable Models (LS, AA, BD, BX), pp. 640–648.
ICMLICML-c2-2014-WeiIB #performance
Fast Multi-stage Submodular Maximization (KW, RKI, JAB), pp. 1494–1502.
ICMLICML-c2-2014-ZhouCL #crowdsourcing #identification
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing (YZ, XC, JL), pp. 217–225.
ICPRICPR-2014-AfzalAFMO #3d #re-engineering
RGB-D Multi-view System Calibration for Full 3D Scene Reconstruction (HA, DA, DF, BM, BEO), pp. 2459–2464.
ICPRICPR-2014-AggarwalM #algorithm #metric #random
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors (HKA, AM), pp. 1014–1019.
ICPRICPR-2014-BagheriHGE #classification #framework #recognition
A Framework of Multi-classifier Fusion for Human Action Recognition (MAB, GH, QG, SE), pp. 1260–1265.
ICPRICPR-2014-BartoliLKBB #adaptation #detection #performance
Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection (FB, GL, SK, ADB, ADB), pp. 3534–3539.
ICPRICPR-2014-BashbaghiGSB #using
Watch-List Screening Using Ensembles Based on Multiple Face Representations (SB, EG, RS, GAB), pp. 4489–4494.
ICPRICPR-2014-BeraM #realtime #using
Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles (AB, DM), pp. 4164–4169.
ICPRICPR-2014-BlondelFU #scalability
Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex (MB, AF, NU), pp. 1289–1294.
ICPRICPR-2014-BorgiLEA14a #recognition #using
Sparse Multi-regularized Shearlet-Network Using Convex Relaxation for Face Recognition (MAB, DL, ME, CBA), pp. 4636–4641.
ICPRICPR-2014-CaoHS #approach #classification #kernel #learning
Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification (LlC, WbH, FS), pp. 3564–3569.
ICPRICPR-2014-CastroMC #recognition
Pyramidal Fisher Motion for Multiview Gait Recognition (FMC, MJMJ, RMC), pp. 1692–1697.
ICPRICPR-2014-ChangWW #image #matrix
Multi-view Nonnegative Matrix Factorization for Clothing Image Characterization (WYC, CPW, YCFW), pp. 1272–1277.
ICPRICPR-2014-ChenB
Soft Biometrics Integrated Multi-target Tracking (XC, BB), pp. 4146–4151.
ICPRICPR-2014-CheplyginaSTPLB #classification #learning
Classification of COPD with Multiple Instance Learning (VC, LS, DMJT, JJHP, ML, MdB), pp. 1508–1513.
ICPRICPR-2014-Climent-PerezMR #detection #using
Multi-view Event Detection in Crowded Scenes Using Tracklet Plots (PCP, DNM, PR), pp. 4370–4375.
ICPRICPR-2014-DaherBBD #documentation #segmentation
Multipage Administrative Document Stream Segmentation (HD, MRB, AB, VPD), pp. 966–971.
ICPRICPR-2014-DahlCB #image #segmentation #using
Multiphase Image Segmentation Using the Deformable Simplicial Complex Method (VAD, ANC, JAB), pp. 1002–1007.
ICPRICPR-2014-DengWGZZ #modelling
Multiple View Based Building Modeling with Multi-box Grammar (RD, QW, RG, GZ, HZ), pp. 4027–4032.
ICPRICPR-2014-DonoserHS
Multiple Model Fitting by Evolutionary Dynamics (MD, MH, DS), pp. 3816–3821.
ICPRICPR-2014-ElmikatyS #detection #image #using
Car Detection in High-Resolution Urban Scenes Using Multiple Image Descriptors (ME, TS), pp. 4299–4304.
ICPRICPR-2014-FengWWL #adaptation #recognition
Multi-group Adaptation for Event Recognition from Videos (YF, XW, HW, JL), pp. 3915–3920.
ICPRICPR-2014-GaoATHRE #hybrid #image #segmentation
Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images (QG, AA, TT, YH, DR, PJE), pp. 3298–3303.
ICPRICPR-2014-GaoHDJ
Depth Structure Association for RGB-D Multi-target Tracking (SG, ZH, DSD, JJ), pp. 4152–4157.
ICPRICPR-2014-GaurHC #design #distance #image #kernel
Design of Multi-kernel Distance Based Hashing with Multiple Objectives for Image Indexing (VG, EH, SC), pp. 2637–2642.
ICPRICPR-2014-GienTCL #fuzzy #learning #predict
Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction (JG, YYT, CLPC, YL), pp. 512–516.
ICPRICPR-2014-GuoCLHS #ambiguity #automation #identification
Multi-shot Person Re-identification with Automatic Ambiguity Inference and Removal (CCG, SZC, JHL, XJH, SCS), pp. 3540–3545.
ICPRICPR-2014-GuoZLCZ #clustering #kernel #learning
Multiple Kernel Learning Based Multi-view Spectral Clustering (DG, JZ, XL, YC, CZ), pp. 3774–3779.
ICPRICPR-2014-HadjadjiCG #classification
Multiple One-Class Classifier Combination for Multi-class Classification (BH, YC, YG), pp. 2832–2837.
ICPRICPR-2014-HedjamCK #detection #documentation #energy #image #self
Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images (RH, MC, MK), pp. 3026–3031.
ICPRICPR-2014-HeDY0PJ #random #using #visual notation
Visual Tracking Using Multi-stage Random Simple Features (YH, ZD, MY, LC, MP, YJ), pp. 4104–4109.
ICPRICPR-2014-Hess-FloresRJ #analysis #nondeterminism
Uncertainty, Baseline, and Noise Analysis for L1 Error-Based Multi-view Triangulation (MHF, SR, KIJ), pp. 4074–4079.
ICPRICPR-2014-HollausDS #image
Improving OCR Accuracy by Applying Enhancement Techniques on Multispectral Images (FH, MD, RS), pp. 3080–3085.
ICPRICPR-2014-HuLYLL #database #evaluation #mining
Multi-camera Trajectory Mining: Database and Evaluation (YH, SL, DY, ZL, SZL), pp. 4684–4689.
ICPRICPR-2014-HuPYYM #recognition #robust
Robust Multi-pose Facial Expression Recognition (QH, XP, PY, FY, DNM), pp. 1782–1787.
ICPRICPR-2014-IoannidisCL #clustering #modelling #using
Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering (AI, VC, AL), pp. 3463–3468.
ICPRICPR-2014-JangLSK #automation #classification #using #video
Automatic Video Genre Classification Using Multiple SVM Votes (WDJ, CL, JYS, CSK), pp. 2655–2660.
ICPRICPR-2014-JhuoL #detection #learning #video
Video Event Detection via Multi-modality Deep Learning (IHJ, DTL), pp. 666–671.
ICPRICPR-2014-KhanVP #visual notation
A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking (MHK, MFV, TPP), pp. 2245–2250.
ICPRICPR-2014-KhoshrouCT #learning #video
Active Learning from Video Streams in a Multi-camera Scenario (SK, JSC, LFT), pp. 1248–1253.
ICPRICPR-2014-KimBKC #online #people
MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes (SWK, MB, KK, JYC), pp. 1212–1217.
ICPRICPR-2014-KimK #estimation #image #pattern matching #robust
Robust Surface Pattern Matching for Ball Spin Estimation with Multi-exposed Images Under Varying Illumination Conditions (JK, MK), pp. 4560–4563.
ICPRICPR-2014-KurtzNP #component
Multivalued Component-Tree Filtering (CK, BN, NP), pp. 1008–1013.
ICPRICPR-2014-LiuZC #identification #learning #metric #parametricity
Parametric Local Multi-modal Metric Learning for Person Re-identification (KL, ZCZ, AC), pp. 2578–2583.
ICPRICPR-2014-LiYLMDWX #higher-order
Multiple-Output Regression with High-Order Structure Information (CL, LY, QL, FM, WD, YW, JX), pp. 3868–3873.
ICPRICPR-2014-LiYLYWH #classification #predict
Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles (LL, ZY, JL, JY, HSW, GH), pp. 178–183.
ICPRICPR-2014-MadrigalHL
Intention-Aware Multiple Pedestrian Tracking (FM, JBH, FL), pp. 4122–4127.
ICPRICPR-2014-MiaoSH #linear #programming #robust
Fusion of Multibiometrics Based on a New Robust Linear Programming (DM, ZS, YH), pp. 291–296.
ICPRICPR-2014-NguyenCO #retrieval
Multi-modal and Cross-Modal for Lecture Videos Retrieval (NVN, MC, JMO), pp. 2667–2672.
ICPRICPR-2014-NguyenP #linear #using
Tracking Using Multiple Linear Searches and Motion Direction Sampling (TN, TPP), pp. 2191–2196.
ICPRICPR-2014-OGormanLY #network #process
Creating a Unified, Wide-Area Activity Map for Multi-camera Networks (LO, DL, GY), pp. 4588–4593.
ICPRICPR-2014-OHarneyMRCSCBF #kernel #learning #pseudo
Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data (ADO, AM, KR, KC, ABS, AC, CB, MF), pp. 3185–3190.
ICPRICPR-2014-OskarssonAT #graph #scalability
Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, , AT), pp. 750–755.
ICPRICPR-2014-Ozay #image #segmentation
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images (MO), pp. 3839–3844.
ICPRICPR-2014-PatriciaTC #adaptation #learning #performance
Multi-source Adaptive Learning for Fast Control of Prosthetics Hand (NP, TT, BC), pp. 2769–2774.
ICPRICPR-2014-PhamKO #integration #named
DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons (VQP, TK, RO), pp. 1206–1211.
ICPRICPR-2014-PillaiFR #classification #learning
Learning of Multilabel Classifiers (IP, GF, FR), pp. 3452–3456.
ICPRICPR-2014-QianZX #classification #social
Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification (SQ, TZ, CX), pp. 1999–2004.
ICPRICPR-2014-RamirezOT #detection
Go with the Flow: Improving Multi-view Vehicle Detection with Motion Cues (AR, EOB, MMT), pp. 4140–4145.
ICPRICPR-2014-SatoKSK #classification #learning
Learning Multiple Complex Features Based on Classification Results (YS, KK, YS, MK), pp. 3369–3373.
ICPRICPR-2014-SengerSMK #behaviour #segmentation
Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior (LS, MS, JHM, EAK), pp. 4564–4569.
ICPRICPR-2014-SharifzadehZK #estimation #forensics #modelling #parametricity #visualisation
Vein Pattern Visualization through Multiple Mapping Models and Local Parameter Estimation for Forensic Investigation (HRS, HZ, AWKK), pp. 160–165.
ICPRICPR-2014-Shirakawa #performance #similarity #using
Fast Similarity Search Using Multiple Binary Codes (SS), pp. 3714–3719.
ICPRICPR-2014-SinghKZ #detection #difference #image #markov #scalability
A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences (PS, ZK, JZ), pp. 924–929.
ICPRICPR-2014-SmedtBTG #combinator #detection
The Combinator: Optimal Combination of Multiple Pedestrian Detectors (FDS, KVB, TT, TG), pp. 3522–3527.
ICPRICPR-2014-StraehleKKH #learning #random
Multiple Instance Learning with Response-Optimized Random Forests (CNS, MK, UK, FAH), pp. 3768–3773.
ICPRICPR-2014-TabuchiTDIMKK #estimation #memory management #people
Spatial People Density Estimation from Multiple Viewpoints by Memory Based Regression (YT, TT, DD, II, HM, TK, KK), pp. 2209–2214.
ICPRICPR-2014-TianLST #segmentation
Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions (ST, SL, BS, CLT), pp. 2703–2708.
ICPRICPR-2014-UmakanthanDFS #learning #process #representation #taxonomy
Multiple Instance Dictionary Learning for Activity Representation (SU, SD, CF, SS), pp. 1377–1382.
ICPRICPR-2014-WangCH #hybrid #markov #random #using #video
Wide Baseline Multi-view Video Matting Using a Hybrid Markov Random Field (TW, JPC, AH), pp. 136–141.
ICPRICPR-2014-WangS #automation #dataset #segmentation #using
Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors (CW, ÖS), pp. 3327–3332.
ICPRICPR-2014-WangWH #framework #learning #predict #risk management
A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery (XW, FW, JH), pp. 220–225.
ICPRICPR-2014-WenZLDC #3d #retrieval #sketching
Sketch-Based 3D Model Retrieval via Multi-feature Fusion (YW, CZ, JL, SD, SC), pp. 4570–4575.
ICPRICPR-2014-WuLWHJ #learning
Multi-label Learning with Missing Labels (BW, ZL, SW, BGH, QJ), pp. 1964–1968.
ICPRICPR-2014-WuS #learning #recognition
Regularized Multi-view Multi-metric Learning for Action Recognition (XW, SKS), pp. 471–476.
ICPRICPR-2014-XuRVL #adaptation
Cost-Sensitive Structured SVM for Multi-category Domain Adaptation (JX, SR, DV, AML), pp. 3886–3891.
ICPRICPR-2014-YanCS
Hierarchical Group Structures in Multi-person Tracking (XY, AC, SKS), pp. 2221–2226.
ICPRICPR-2014-YangN #integration #learning
Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration (YY, SN), pp. 4062–4067.
ICPRICPR-2014-YanRLSS #analysis #clustering #invariant #linear #recognition
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition (YY, ER, GL, RS, NS), pp. 3493–3498.
ICPRICPR-2014-YanSRLS #classification #interactive #learning
Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments (YY, RS, ER, OL, NS), pp. 4182–4187.
ICPRICPR-2014-YiMHP #classification #invariant #locality #process
Pose Invariant Activity Classification for Multi-floor Indoor Localization (SY, PWM, TKH, VP), pp. 3505–3510.
ICPRICPR-2014-YuanT #algorithm #classification #image
Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification (HY, YYT), pp. 1383–1388.
ICPRICPR-2014-ZhaiSDJ
Covariance-Based PCA for Multi-size Data (MZ, FS, DD, NJ), pp. 1603–1608.
ICPRICPR-2014-ZhangHWZ #parsing
Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model (ZZ, JH, YW, YZ), pp. 369–374.
ICPRICPR-2014-ZhangLWZ #image #modelling #statistics #using
Statistical Modeling of Multi-modal Medical Image Fusion Method Using C-CHMM and M-PCNN (HZ, XL, XW, ZZ), pp. 1067–1072.
ICPRICPR-2014-ZhangM14a #detection #learning
Simultaneous Detection of Multiple Facial Action Units via Hierarchical Task Structure Learning (XZ, MHM), pp. 1863–1868.
ICPRICPR-2014-ZhuWYJ #learning #modelling #recognition #semantics
Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling (YZ, SW, LY, QJ), pp. 1663–1668.
KDDKDD-2014-BensonRS #learning #network #scalability
Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDDKDD-2014-GongZFY #learning #performance
Efficient multi-task feature learning with calibration (PG, JZ, WF, JY), pp. 761–770.
KDDKDD-2014-GunnemannFRS #clustering #named
SMVC: semi-supervised multi-view clustering in subspace projections (SG, IF, MR, TS), pp. 253–262.
KDDKDD-2014-JiangCWXZY #analysis #behaviour #flexibility #named
FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery (MJ, PC, FW, XX, WZ, SY), pp. 1186–1195.
KDDKDD-2014-PapalexakisFSTMF #algorithm #challenge
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments (EEP, AF, NDS, PPT, TMM, CF), pp. 95–104.
KDDKDD-2014-PrabhuV #classification #learning #named #performance
FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning (YP, MV), pp. 263–272.
KDDKDD-2014-SahooHL #kernel #online
Online multiple kernel regression (DS, SCHH, BL), pp. 293–302.
KDDKDD-2014-SpasojevicYRB #named #network #scalability #social #topic
LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDDKDD-2014-VasishtDVK #classification #learning
Active learning for sparse bayesian multilabel classification (DV, ACD, MV, AK), pp. 472–481.
KDDKDD-2014-WangHYL #named #network
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
KDDKDD-2014-WangZQWD #predict #risk management
Clinical risk prediction with multilinear sparse logistic regression (FW, PZ, BQ, XW, ID), pp. 145–154.
KDDKDD-2014-YinW #approach #clustering #modelling
A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.
KDDKDD-2014-ZhaiXW #optimisation
A multi-class boosting method with direct optimization (SZ, TX, SW), pp. 273–282.
KDDKDD-2014-ZhangYZ #predict
Meta-path based multi-network collective link prediction (JZ, PSY, ZHZ), pp. 1286–1295.
KDDKDD-2014-ZhouL #classification #mining #network
Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.
KDDKDD-2014-ZhouT #graph
Multi-task copula by sparse graph regression (TZ, DT), pp. 771–780.
KDIRKDIR-2014-DeglInnocentiNT #approach #knowledge base
A New Multi-lingual Knowledge-base Approach to Keyphrase Extraction for the Italian Language (DD, DDN, CT), pp. 78–85.
KEODKEOD-2014-ChamekhTB #concept #ontology
Ontology Modification in a Multi-User Concept — Conflict Resolution (FC, GT, DB), pp. 296–303.
KEODKEOD-2014-PaniCP #approach #content management
An Approach to Multimedia Content Management (FEP, GC, SP), pp. 264–271.
KEODKEOD-2014-TawfikGB #framework #interactive #platform
An Interactive Platform for Multilingual Linguistic Resource Enrichment (AT, FG, FB), pp. 195–206.
KMISKMIS-2014-HisakaneOSK
A Tutoring Rule Selection Method for Case-based e-Learning by Multi-class Support Vector Machine (DH, MO, MS, NK), pp. 119–125.
KRKR-2014-BartholomewL #modelling
Stable Models of Multi-Valued Formulas: Partial versus Total Functions (MB, JL).
KRKR-2014-BelleL14a #on the
On the Progression of Knowledge in Multiagent Systems (VB, GL).
KRKR-2014-DunneDLW
Characteristics of Multiple Viewpoints in Abstract Argumentation (PED, WD, TL, SW).
KRKR-2014-LomuscioM #abstraction #atl #specification #verification
An Abstraction Technique for the Verification of Multi-Agent Systems Against ATL Specifications (AL, JM).
KRKR-2014-TasharrofiT
Generalized Multi-Context Systems (ST, ET).
MLDMMLDM-2014-AlshdaifatCD #classification
A Multi-path Strategy for Hierarchical Ensemble Classification (EA, FC, KD), pp. 198–212.
MLDMMLDM-2014-AnanpiriyakulPV #classification
Label Correction Strategy on Hierarchical Multi-Label Classification (TA, PP, PV), pp. 213–227.
MLDMMLDM-2014-BugaychenkoZ #diagrams #learning #pattern matching #pattern recognition #performance #recognition #using
Fast Pattern Recognition and Deep Learning Using Multi-Rooted Binary Decision Diagrams (DB, DZ), pp. 73–77.
MLDMMLDM-2014-FuMD #classification #network #performance #towards
Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier (SF, SM, MCD), pp. 16–30.
MLDMMLDM-2014-HassaniSS #adaptation #clustering
Adaptive Multiple-Resolution Stream Clustering (MH, PS, TS), pp. 134–148.
MLDMMLDM-2014-SenkoD
Multiple Regression Method Based on Unexpandable and Irreducible Convex Combinations (OVS, AD), pp. 43–57.
MLDMMLDM-2014-SilvaA
Finding Multi-dimensional Patterns in Healthcare (AS, CA), pp. 361–375.
RecSysRecSys-2014-DalyBKM #recommendation
Multi-criteria journey aware housing recommender system (EMD, AB, AK, RM), pp. 325–328.
SEKESEKE-2014-AssoudiL #approach #process
A Multi-Agent-Based Approach for Autonomic Data Exchange Processes (HA, HL), pp. 334–337.
SEKESEKE-2014-DalliloAF #approach #process
Making the link between strategy and process model collections: a multi-layered approach (FD, JPdA, MF), pp. 387–392.
SEKESEKE-2014-GomedeB #approach
A Multicriteria Approach to Project Portfolio Selection (EG, RMB), pp. 43–48.
SIGIRSIGIR-2014-ChengYWL #behaviour #recommendation
Group latent factor model for recommendation with multiple user behaviors (JC, TY, JW, HL), pp. 995–998.
SIGIRSIGIR-2014-GiangrecoKS #database #information retrieval #named #query #scalability
ADAM: a system for jointly providing ir and database queries in large-scale multimedia retrieval (IG, IAK, HS), pp. 1257–1258.
SIGIRSIGIR-2014-LeeTC #behaviour #risk management
Characterizing multi-click search behavior and the risks and opportunities of changing results during use (CJL, JT, SdlC), pp. 515–524.
SIGIRSIGIR-2014-RenPLDR #classification #social
Hierarchical multi-label classification of social text streams (ZR, MHP, SL, WvD, MdR), pp. 213–222.
SIGIRSIGIR-2014-Song #enterprise #network #online #social #volunteer
Enrichment of user profiles across multiple online social networks for volunteerism matching for social enterprise (XS), p. 1282.
SIGIRSIGIR-2014-ZhangLLZ #evolution #graph #named
PatentLine: analyzing technology evolution on multi-view patent graphs (LZ, LL, TL, QZ), pp. 1095–1098.
SIGIRSIGIR-2014-ZhangZLG14a #crowdsourcing #modelling
Multidimensional relevance modeling via psychometrics and crowdsourcing (YZ, JZ, ML, JG), pp. 435–444.
SKYSKY-2014-Ben-Av #algebra #generative #ontology #using
Ontology Hierarchy Self Generation using Algebraic Multi-Grid (AMG) (RBA), pp. 79–85.
BXBX-2014-MacedoCP #framework #model transformation #towards
Towards a Framework for Multidirectional Model Transformations (NM, AC, HP), pp. 71–74.
ECMFAECMFA-2014-Goldschmidt #domain-specific language #framework #platform #towards
Towards an Infrastructure for Domain-Specific Languages in a Multi-domain Cloud Platform (TG), pp. 242–253.
MODELSMoDELS-2014-ChavarriagaNCJ #detection #process
Propagating Decisions to Detect and Explain Conflicts in a Multi-step Configuration Process (JC, CN, RC, VJ), pp. 337–352.
MODELSMoDELS-2014-RabiserVGDSL #case study #experience #lessons learnt #modelling
Supporting Multiplicity and Hierarchy in Model-Based Configuration: Experiences and Lessons Learned (RR, MV, PG, DD, HS, ML), pp. 320–336.
SPLCSPLC-2014-DamianiSW #product line
Delta-oriented multi software product lines (FD, IS, TW), pp. 232–236.
SPLCSPLC-2014-GreggSLC #aspect-oriented #lessons learnt #product line
Lessons from AEGIS: organizational and governance aspects of a major product line in a multi-program environment (SPG, RS, EL, PC), pp. 264–273.
SPLCSPLC-2014-OlaecheaRGC #approximate #comparison #optimisation #product line
Comparison of exact and approximate multi-objective optimization for software product lines (RO, DR, JG, KC), pp. 92–101.
SPLCSPLC-2014-SteinNC #feature model
Preference-based feature model configuration with multiple stakeholders (JS, IN, EC), pp. 132–141.
SPLCSPLC-2014-WangBAGPL #case study #industrial #product line #testing
Multi-objective test prioritization in software product line testing: an industrial case study (SW, DB, SA, AG, DP, ML), pp. 32–41.
ECOOPECOOP-2014-LeeKZ #concurrent #execution
Infrastructure-Free Logging and Replay of Concurrent Execution on Multiple Cores (KHL, DK, XZ), pp. 232–256.
ECOOPECOOP-2014-MayerS #automation #domain-specific language #framework #java #refactoring
Automated Multi-Language Artifact Binding and Rename Refactoring between Java and DSLs Used by Java Frameworks (PM, AS), pp. 437–462.
OnwardOnward-2014-ReyndersDP #functional #programming #web
Multi-Tier Functional Reactive Programming for the Web (BR, DD, FP), pp. 55–68.
OOPSLAOOPSLA-2014-ZhouSGY #adaptation #optimisation
Space-efficient multi-versioning for input-adaptive feedback-driven program optimizations (MZ, XS, YG, GY), pp. 763–776.
AdaEuropeAdaEurope-2014-QamhiehM #analysis #graph #scheduling
Schedulability Analysis for Directed Acyclic Graphs on Multiprocessor Systems at a Subtask Level (MQ, SM), pp. 119–133.
AdaEuropeAdaEurope-2014-SaezRC #ada #platform #realtime #reliability #scheduling
Reliable Handling of Real-Time Scheduling Attributes on Multiprocessor Platforms in Ada 2012 (SS, JR, AC), pp. 74–90.
PADLPADL-2014-SonPL #prolog #source code
Two Applications of the ASP-Prolog System: Decomposable Programs and Multi-context Systems (TCS, EP, TL), pp. 87–103.
RERE-2014-Daneva #approach #game studies #how #online #requirements
How practitioners approach gameplay requirements? An exploration into the context of massive multiplayer online role-playing games (MD), pp. 3–12.
RERE-2014-GhanavatiRDA
Goal-oriented compliance with multiple regulations (SG, AR, ED, DA), pp. 73–82.
RERE-2014-PutnamC #approach #game studies #requirements
Therapist-centered requirements: A multi-method approach of requirement gathering to support rehabilitation gaming (CP, JC), pp. 13–22.
RERE-2014-ZhuMR #modelling
Structured multi-view modeling by tabular notation (XZ, DM, DR), pp. 327–328.
ASEASE-2014-AbdeenVSNDHH #design #optimisation #rule-based
Multi-objective optimization in rule-based design space exploration (HA, DV, HAS, ASN, CD, ÁH, ÁH), pp. 289–300.
ASEASE-2014-Angerer #impact analysis #product line #variability
Variability-aware change impact analysis of multi-language product lines (FA), pp. 903–906.
FSEFSE-2014-JiangZZZLSSGS #embedded #modelling #named #synthesis #tool support #validation
Tsmart-GalsBlock: a toolkit for modeling, validation, and synthesis of multi-clocked embedded systems (YJ, HZ, HZ, XZ, HL, CS, XS, MG, JGS), pp. 711–714.
ICSEICSE-2014-DIppolitoBKMSU #adaptation
Hope for the best, prepare for the worst: multi-tier control for adaptive systems (ND, VAB, JK, JM, DS, SU), pp. 688–699.
ICSEICSE-2014-LeP #control flow #graph #interprocedural #verification
Patch verification via multiversion interprocedural control flow graphs (WL, SDP), pp. 1047–1058.
ICSEICSE-2014-LinXXLPSZ #detection #difference
Detecting differences across multiple instances of code clones (YL, ZX, YX, YL, XP, JS, WZ), pp. 164–174.
SACSAC-2014-AlexandreMP #algorithm #on the
On the support of task-parallel algorithmic skeletons for multi-GPU computing (FA, RM, HP), pp. 880–885.
SACSAC-2014-CalvoOFR #distributed #parametricity
Parametric investigation of a distributed strategy for multiple agents systems applied to cooperative tasks (RC, JdO, MF, RAR), pp. 207–212.
SACSAC-2014-Gutierrez-GarciaG #safety #simulation
Multi-agent simulation of perception of safety from crime (JOGG, AGdSG), pp. 573–578.
SACSAC-2014-HuangLD #analysis #delivery #modelling #network #performance
Modeling and analysis on network performance for cloud service delivery with multiple paths (JH, JL, QD), pp. 667–673.
SACSAC-2014-HusemannR #predict #scalability #video
Introduction of a multi-layer predictive search strategy for scalable video coding (RH, VR), pp. 985–986.
SACSAC-2014-KatebFNMAT #framework #modelling #optimisation #platform #runtime
Generic cloud platform multi-objective optimization leveraging models@run.time (