BibSLEIGH — multi tag

multi

multi

Tag #multi

7895 papers:

ASPLOS-2020-0004JE #hybrid #named: HSM: A Hybrid Slowdown Model for Multitasking GPUs (XZ0, MJ, LE), pp. 1371–1385.
ASPLOS-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.
ASPLOS-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.
CC-2020-LazcanoMJC #runtime: Runtime multi-versioning and specialization inside a memoized speculative loop optimizer (RL, DM, EJ, PC), pp. 96–107.
CC-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.
CGO-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.
CGO-2020-ShaikhhaSGO #data analysis #optimisation: Multi-layer optimizations for end-to-end data analytics (AS, MS, AG, DO), pp. 145–157.
CSL-2020-AcclavioM #linear #logic: Generalized Connectives for Multiplicative Linear Logic (MA, RM), p. 16.
ECSA-2019-Sozer #architecture #clustering #composition #effectiveness: Evaluating the Effectiveness of Multi-level Greedy Modularity Clustering for Software Architecture Recovery (HS), pp. 71–87.
ECSA-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.
EDM-2019-AbdiKSG #adaptation #education: A Multivariate ELO-based Learner Model for Adaptive Educational Systems (SA, HK, SWS, DG).
EDM-2019-ChenGD #problem: Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data (LC, EG, AD).
EDM-2019-MooreCEZRB #approach #component #student: Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and Tasks (RM, AC, ME, AHZ, AR, PB).
ICPC-2019-PeitekABPS #data analysis #named: CodersMUSE: multi-modal data exploration of program-comprehension experiments (NP, SA, AB, CP, JS), pp. 126–129.
MSR-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.
SANER-2019-WangWZL #detection: Software Multiple-Level Change Detection Based on Two-Step MPAT Matching (TW, DW, YZ, BL), pp. 4–14.
SCAM-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.
CIAA-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.
SEFM-2019-AraujoCMS #cyber-physical #effectiveness #testing: Multi-objective Search for Effective Testing of Cyber-Physical Systems (HLSA, GC, MRM, AS), pp. 183–202.
SEFM-2019-WijsW #code generation #composition #concurrent #thread #verification: Modular Indirect Push-Button Formal Verification of Multi-threaded Code Generators (AW, MW), pp. 410–429.
Haskell-2019-PickeringWK #source code: Multi-stage programs in context (MP, NW, CK), pp. 71–84.
AIIDE-2019-WareGSF #experience #graph: Multi-Agent Narrative Experience Management as Story Graph Pruning (SGW, ETG, AS, RF), pp. 87–93.
CHI-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-PLAY-2019-LakierNIV #game studies: Cross-Car, Multiplayer Games for Semi-Autonomous Driving (ML, LEN, TI, DV0), pp. 467–480.
CHI-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.
CoG-2019-AmarTAM #scalability #towards: Towards Cheap Scalable Browser Multiplayer (YA, GT, GA, LM), pp. 1–4.
CoG-2019-BallabioL #heuristic: Heuristics for Placing the Spawn Points in Multiplayer First Person Shooters (MB, DL), pp. 1–8.
CoG-2019-BlomBS #modelling #towards: Towards Multi-modal Stress Response Modelling in Competitive League of Legends (PMB, SB, PS), pp. 1–4.
CoG-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.
CoG-2019-GomesDM #game studies #interactive #named: GIMME: Group Interactions Manager for Multiplayer sErious games (SG, JD, CM), pp. 1–8.
CoG-2019-IlhanGP #education #learning: Teaching on a Budget in Multi-Agent Deep Reinforcement Learning (EI, JG, DPL), pp. 1–8.
CoG-2019-KiarostamiDMRG #monte carlo: Multi-Agent non-Overlapping Pathfinding with Monte-Carlo Tree Search (MSK, MRD, SKM, DR, SG), pp. 1–4.
CoG-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.
CoG-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.
CoG-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.
CoG-2019-ZhuO #experience #game studies: Experience Management in Multi-player Games (JZ, SO), pp. 1–6.
FDG-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.
CIKM-2019-BiTDMC #case study #dependence: A Study of Context Dependencies in Multi-page Product Search (KB, CHT, YD, VM, WBC), pp. 2333–2336.
CIKM-2019-ChelliahZS #mining #overview #recommendation: Recommendation for Multi-stakeholders and through Neural Review Mining (MC, YZ, SS), pp. 2979–2981.
CIKM-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.
CIKM-2019-DongZHSL #detection #graph #network: Multiple Rumor Source Detection with Graph Convolutional Networks (MD, BZ, NQVH, HS, GL), pp. 569–578.
CIKM-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.
CIKM-2019-DuongRN #sketching #streaming #using: Sketching Streaming Histogram Elements using Multiple Weighted Factors (QHD, HR, KN), pp. 19–28.
CIKM-2019-DuT #named: MrMine: Multi-resolution Multi-network Embedding (BD, HT), pp. 479–488.
CIKM-2019-GiurgiuS #detection: Additive Explanations for Anomalies Detected from Multivariate Temporal Data (IG, AS), pp. 2245–2248.
CIKM-2019-GuLL #interactive #network: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots (JCG, ZHL, QL), pp. 2321–2324.
CIKM-2019-GuoAWPC00 #classification #recognition: Multi-stage Deep Classifier Cascades for Open World Recognition (XG, AAF, LW, HP, XC0, KZ0, LZ0), pp. 179–188.
CIKM-2019-Han #automation #text-to-text: From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration (JH), pp. 5–6.
CIKM-2019-HosseiniH #feature model #kernel #learning #prototype #representation: Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection (BH, BH), pp. 1863–1872.
CIKM-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.
CIKM-2019-HuangLZYCGH #education #online #recommendation: Exploring Multi-Objective Exercise Recommendations in Online Education Systems (ZH, QL0, CZ, YY, EC, WG, GH), pp. 1261–1270.
CIKM-2019-HuangWWT #named #network #self: DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting (SH, DW, XW, AT), pp. 2129–2132.
CIKM-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.
CIKM-2019-LaiSYHLY #recommendation: Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization (HCL, HHS, DNY, JLH, WCL, PSY), pp. 1773–1782.
CIKM-2019-LiECL #clustering #identification #mobile #network: Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks (LL, SME, CAC, CL), pp. 2253–2256.
CIKM-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.
CIKM-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.
CIKM-2019-LiZWHYL #network: Multi-Hot Compact Network Embedding (CL, LZ, SW, FH, PSY, ZL), pp. 459–468.
CIKM-2019-LuoSAZ0 #learning #retrieval: Cross-modal Image-Text Retrieval with Multitask Learning (JL, YS, XA, ZZ, MY0), pp. 2309–2312.
CIKM-2019-PratamaZAO0 #automation #network #streaming: Automatic Construction of Multi-layer Perceptron Network from Streaming Examples (MP, CZ, AA, YSO, WD0), pp. 1171–1180.
CIKM-2019-QiuW0 #predict #problem: Question Difficulty Prediction for Multiple Choice Problems in Medical Exams (ZQ, XW, WF0), pp. 139–148.
CIKM-2019-ShiLLP #network: A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management (SS, JL, GL, PP), pp. 1613–1622.
CIKM-2019-ShiRWR #classification #online #sentiment: Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts (TS, VR, SW, CKR), pp. 2723–2731.
CIKM-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.
CIKM-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.
CIKM-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.
CIKM-2019-TrittenbachB #detection #learning: One-Class Active Learning for Outlier Detection with Multiple Subspaces (HT, KB), pp. 811–820.
CIKM-2019-WangSGYZF #semantics: Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features (MW, DS, NG, WY, TZ, ZF), pp. 199–208.
CIKM-2019-WangWC #network: Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network (HW, ZW, JC), pp. 1081–1090.
CIKM-2019-WangZWYZL #recognition: Video-level Multi-model Fusion for Action Recognition (XW, JZ, LW, PSY, JZ, HL), pp. 159–168.
CIKM-2019-WeiK #information management: Knowledge Transfer based on Multiple Manifolds Assumption (PW, YK), pp. 279–287.
CIKM-2019-XiaoZZXBZY #3d #network #recognition: Multi-view Moments Embedding Network for 3D Shape Recognition (JX, YZ, PZ, KX, KB, CZ, WY), pp. 2257–2260.
CIKM-2019-XiaWY #comprehension #learning: Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning (JX, CW, MY), pp. 2393–2396.
CIKM-2019-XieXYZ #graph: EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation (XX, YX, PSY, YZ), pp. 649–658.
CIKM-2019-XinEBYLZY0 #online #predict: Multi-task based Sales Predictions for Online Promotions (SX, ME, JB, CY, ZL, XZ, YY, CW0), pp. 2823–2831.
CIKM-2019-XuePLS: Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding (HX, JP, JL, XS), pp. 2117–2120.
CIKM-2019-XuWHL #recognition: Exploiting Multiple Embeddings for Chinese Named Entity Recognition (CX, FW, JH, CL), pp. 2269–2272.
CIKM-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.
CIKM-2019-YinLW #analysis #interactive #sentiment: Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis (DY, XL, XW0), pp. 1031–1040.
CIKM-2019-YinRYZZZLZ #case study #modelling: Experimental Study of Multivariate Time Series Forecasting Models (JY, WR, MY, JZ, KZ, CZ, JL, QZ), pp. 2833–2839.
CIKM-2019-YouVLL #network #recommendation: Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation (DY, NV, KL, QL), pp. 1471–1480.
CIKM-2019-ZhangH #named #nearest neighbour: GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search Engine (MZ, YH), pp. 1673–1682.
CIKM-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.
CIKM-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.
CIKM-2019-ZouLAWZ #learning #named #rank: MarlRank: Multi-agent Reinforced Learning to Rank (SZ, ZL, MA, JW0, PZ), pp. 2073–2076.
ECIR-p1-2019-MisawaMTO #generative: Multiple Keyphrase Generation Model with Diversity (SM, YM, MT, TO), pp. 869–876.
ECIR-p1-2019-OscheCB #named #recommendation: AntRS: Recommending Lists Through a Multi-objective Ant Colony System (PEO, SC, AB), pp. 229–243.
ECIR-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.
ECIR-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.
ICML-2019-0001HLZZ #clustering #named #parametricity: COMIC: Multi-view Clustering Without Parameter Selection (XP0, ZH, JL, HZ, JTZ), pp. 5092–5101.
ICML-2019-0002LA #network: Exploring interpretable LSTM neural networks over multi-variable data (TG0, TL, NAF), pp. 2494–2504.
ICML-2019-AbelsRLNS #learning: Dynamic Weights in Multi-Objective Deep Reinforcement Learning (AA, DMR, TL, AN, DS), pp. 11–20.
ICML-2019-AlbuquerqueMDCF #generative #network: Multi-objective training of Generative Adversarial Networks with multiple discriminators (IA, JM, TD, BC, THF, IM), pp. 202–211.
ICML-2019-AntelmiARL #analysis #semistructured data: Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data (LA, NA, PR, ML), pp. 302–311.
ICML-2019-BenyahiaYBJDSM: Overcoming Multi-model Forgetting (YB, KY, KBS, MJ, ACD, MS, CM), pp. 594–603.
ICML-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.
ICML-2019-CaoS #learning #problem: Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem (JC, WS), pp. 912–920.
ICML-2019-ChaudhuriK #identification #probability: PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits (ARC, SK), pp. 991–1000.
ICML-2019-ChenYWLYLL #scalability: Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching (ZC, ZY, XW, XL, XY, GL, LL), pp. 1112–1121.
ICML-2019-ChuL #named #summary: MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization (EC, PJL), pp. 1223–1232.
ICML-2019-ColasOSFC #composition #learning #motivation #named: CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning (CC, PYO, OS, PF, MC), pp. 1331–1340.
ICML-2019-DasGRBPRP #communication #named: TarMAC: Targeted Multi-Agent Communication (AD, TG, JR, DB, DP, MR, JP), pp. 1538–1546.
ICML-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.
ICML-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.
ICML-2019-FanZ: Multi-Frequency Vector Diffusion Maps (YF, ZZ), pp. 1843–1852.
ICML-2019-Feige #invariant #learning #representation: Invariant-Equivariant Representation Learning for Multi-Class Data (IF), pp. 1882–1891.
ICML-2019-FeldmanFH #reuse #testing: The advantages of multiple classes for reducing overfitting from test set reuse (VF, RF, MH), pp. 1892–1900.
ICML-2019-FeraudAL #distributed: Decentralized Exploration in Multi-Armed Bandits (RF, RA, RL), pp. 1901–1909.
ICML-2019-FoersterSHBDWBB #learning: Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning (JNF, HFS, EH, NB, ID, SW, MB, MB), pp. 1942–1951.
ICML-2019-FreirichSMT #evaluation #policy: Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN (DF, TS, RM, AT), pp. 1983–1992.
ICML-2019-GaoZ: Multi-Frequency Phase Synchronization (TG, ZZ), pp. 2132–2141.
ICML-2019-GreenfeldGBYK #learning: Learning to Optimize Multigrid PDE Solvers (DG, MG, RB, IY, RK), pp. 2415–2423.
ICML-2019-GreffKKWBZMBL #learning #representation: Multi-Object Representation Learning with Iterative Variational Inference (KG, RLK, RK, NW, CB, DZ, LM, MB, AL), pp. 2424–2433.
ICML-2019-GuY #algorithm #modelling #performance #ranking: Fast Algorithm for Generalized Multinomial Models with Ranking Data (JG, GY), pp. 2445–2453.
ICML-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.
ICML-2019-HoangHLK #black box: Collective Model Fusion for Multiple Black-Box Experts (QMH, TNH, BKHL, CK), pp. 2742–2750.
ICML-2019-HuangCH #optimisation #performance #probability: Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization (FH, SC, HH), pp. 2839–2848.
ICML-2019-IqbalS #learning: Actor-Attention-Critic for Multi-Agent Reinforcement Learning (SI, FS), pp. 2961–2970.
ICML-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.
ICML-2019-KimP #algorithm: Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model (GSK, MCP), pp. 3389–3397.
ICML-2019-KleimanP #machine learning #metric #modelling #named #performance: AUCμ: A Performance Metric for Multi-Class Machine Learning Models (RK, DP), pp. 3439–3447.
ICML-2019-KvetonSVWLG: Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits (BK, CS, SV, ZW, TL, MG), pp. 3601–3610.
ICML-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.
ICML-2019-LiuS #learning: Sparse Extreme Multi-label Learning with Oracle Property (WL, XS0), pp. 4032–4041.
ICML-2019-MahloujifarMM #learning: Data Poisoning Attacks in Multi-Party Learning (SM, MM, AM), pp. 4274–4283.
ICML-2019-NamKMPSF #classification #learning #permutation: Learning Context-dependent Label Permutations for Multi-label Classification (JN, YBK, ELM, SP, RS, JF), pp. 4733–4742.
ICML-2019-NguyenLKB #detection #predict: Anomaly Detection With Multiple-Hypotheses Predictions (DTN, ZL, MK, TB), pp. 4800–4809.
ICML-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.
ICML-2019-PapiniMLR #optimisation #policy: Optimistic Policy Optimization via Multiple Importance Sampling (MP, AMM, LL, MR), pp. 4989–4999.
ICML-2019-SafaviB #graph: Tractable n-Metrics for Multiple Graphs (SS, JB), pp. 5568–5578.
ICML-2019-SantiagoS #optimisation: Multivariate Submodular Optimization (RS, FBS), pp. 5599–5609.
ICML-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.
ICML-2019-SonKKHY #learning #named: QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning (KS, DK, WJK, DH, YY), pp. 5887–5896.
ICML-2019-SotoLF #3d #distributed #matrix #polynomial: Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication (PS, JL, XF), pp. 5937–5945.
ICML-2019-Stickland0 #adaptation #learning #performance: BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (ACS, IM0), pp. 5986–5995.
ICML-2019-TirinzoniSR #policy: Transfer of Samples in Policy Search via Multiple Importance Sampling (AT, MS, MR), pp. 6264–6274.
ICML-2019-TongC: Discovering Latent Covariance Structures for Multiple Time Series (AT, JC), pp. 6285–6294.
ICML-2019-WuLZ #optimisation #reuse: Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin (XZW, SL, ZHZ), pp. 6840–6849.
ICML-2019-YuSE #learning: Multi-Agent Adversarial Inverse Reinforcement Learning (LY, JS, SE), pp. 7194–7201.
ICML-2019-ZhangY #estimation #modelling #performance: Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models (CZ, GY), pp. 7463–7471.
ICML-2019-ZhangZT #adaptation #monte carlo #testing: Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits (MJZ, JZ, DT), pp. 7512–7522.
ICML-2019-ZhaoST #learning: Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (RZ, XS0, VT), pp. 7553–7562.
KDD-2019-CenZZYZ0 #learning #network #representation: Representation Learning for Attributed Multiplex Heterogeneous Network (YC, XZ, JZ, HY, JZ, JT0), pp. 1358–1368.
KDD-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.
KDD-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.
KDD-2019-FeiTL #learning #predict #word: Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction (HF, ST, PL0), pp. 834–842.
KDD-2019-FoucheKB #algorithm #scalability: Scaling Multi-Armed Bandit Algorithms (EF, JK, KB), pp. 1449–1459.
KDD-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.
KDD-2019-HeXZMZY #learning: Off-policy Learning for Multiple Loggers (LH, LX, WZ, ZMM, YZ, DY), pp. 1184–1193.
KDD-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.
KDD-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.
KDD-2019-KlyuchnikovMKMK: Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging (NK, DM, GK, EM, PK), pp. 686–695.
KDD-2019-LambaS #modelling #visual notation: Modeling Dwell Time Engagement on Visual Multimedia (HL, NS), pp. 1104–1113.
KDD-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.
KDD-2019-Lin #classification #roadmap: Advances in Cost-sensitive Multiclass and Multilabel Classification (HTL), pp. 3187–3188.
KDD-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.
KDD-2019-LiuA #adaptation #locality #statistics: A Multiscale Scan Statistic for Adaptive Submatrix Localization (YL, EAC), pp. 44–53.
KDD-2019-LiuFWWBL #automation #learning: Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning (KL, YF, PW, LW, RB, XL), pp. 207–215.
KDD-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.
KDD-2019-NieWL #clustering #named: K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters (FN, CLW, XL), pp. 959–967.
KDD-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.
KDD-2019-RashedGS #classification: Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings (AR, JG, LST), pp. 1132–1140.
KDD-2019-RawatLY #learning #using: Naranjo Question Answering using End-to-End Multi-task Learning Model (BPSR, FL, HY0), pp. 2547–2555.
KDD-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.
KDD-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.
KDD-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.
KDD-2019-TangXWZL #learning: Retaining Privileged Information for Multi-Task Learning (FT, CX, FW, JZ, LWHL), pp. 1369–1377.
KDD-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.
KDD-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.
KDD-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.
KDD-2019-XuTZ #kernel #learning: Isolation Set-Kernel and Its Application to Multi-Instance Learning (BCX, KMT, ZHZ), pp. 941–949.
KDD-2019-YangLWWTXG #optimisation: Bid Optimization by Multivariable Control in Display Advertising (XY, YL, HW, DW, QT, JX, KG), pp. 1966–1974.
KDD-2019-YaoCC #clustering #learning #robust: Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning (YY, JC0, HC), pp. 1408–1417.
KDD-2019-YelundurCM #composition #detection #overview: Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition (ARY, VC, BM), pp. 2134–2144.
KDD-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.
KDD-2019-ZhangTKLCC #axiom #modelling: Axiomatic Interpretability for Multiclass Additive Models (XZ, ST, PK, YL, UC, RC), pp. 226–234.
KDD-2019-ZhaoDSZLX #learning #network #relational: Multiple Relational Attention Network for Multi-task Learning (JZ, BD, LS, FZ, WL, HX), pp. 1123–1131.
KDD-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.
KDD-2019-ZhuangL #named: PinText: A Multitask Text Embedding System in Pinterest (JZ, YL), pp. 2653–2661.
BX-2019-JohnsonRo #lens: Multicategories of Multiary Lenses (MJ, RDR), pp. 30–44.
MoDELS-2019-BucchiaroneCM19a #design #modelling: Exploiting Multi-level Modelling for Designing and Deploying Gameful Systems (AB, AC, AM), pp. 34–44.
ECOOP-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.
ECOOP-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.
ECOOP-2019-WeisenburgerS: Multitier Modules (PW, GS), p. 29.
PLDI-2019-TonderG #combinator #lightweight #parsing #syntax: Lightweight multi-language syntax transformation with parser parser combinators (RvT, CLG), pp. 363–378.
POPL-2019-ParkerVH #data flow #named #security #web: LWeb: information flow security for multi-tier web applications (JP, NV, MH0), p. 30.
POPL-2019-ParkHSR #polymorphism #symmetry: Polymorphic symmetric multiple dispatch with variance (GP, JH, GLSJ, SR), p. 28.
POPL-2019-ScalasY #less is more #revisited: Less is more: multiparty session types revisited (AS, NY), p. 29.
SAS-2019-Ben-AmramDG #ranking #set: Multiphase-Linear Ranking Functions and Their Relation to Recurrent Sets (AMBA, JJD, SG), pp. 459–480.
ASE-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.
ASE-2019-PobeeMC #concurrent #performance #source code #thread #transaction: Efficient Transaction-Based Deterministic Replay for Multi-threaded Programs (EBP, XM, WKC), pp. 760–771.
ASE-2019-Ramamoorthy #game studies #using: User Preference Aware Multimedia Pricing Model using Game Theory and Prospect Theory for Wireless Communications (KMKR), pp. 1265–1267.
ASE-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-FSE-2019-ChenMF #specification #synthesis: Maximal multi-layer specification synthesis (YC, RM, YF), pp. 602–612.
ESEC-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-FSE-2019-PobeeC #concurrent #named #performance #source code #thread: AggrePlay: efficient record and replay of multi-threaded programs (EBP, WKC), pp. 567–577.
ESEC-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.
SLE-2019-GPMBB #specification: High-level mission specification for multiple robots (SG, PP, CM, TB, TB), pp. 127–140.
SLE-2019-ScottJ #java: Multiple lexicalisation (a Java based study) (ES, AJ), pp. 71–82.
ASPLOS-2019-ChenDM #clustering #interactive #named: PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services (SC, CD, JFM), pp. 107–120.
ASPLOS-2019-KimMKRM #named #scalability: MV-RLU: Scaling Read-Log-Update with Multi-Versioning (JK, AM, SK, MKR, CM), pp. 779–792.
ASPLOS-2019-MerrifieldRDE #lazy evaluation #performance #thread: Lazy Determinism for Faster Deterministic Multithreading (TM, SR, JD, JE), pp. 879–891.
ASPLOS-2019-OsterlundKOBBG #detection #execution #kernel #named: kMVX: Detecting Kernel Information Leaks with Multi-variant Execution (SÖ, KK, PO, AB, HB, CG), pp. 559–572.
ASPLOS-2019-PinaA0C #execution #named: MVEDSUA: Higher Availability Dynamic Software Updates via Multi-Version Execution (LP, AA, MH0, CC), pp. 573–585.
ASPLOS-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.
ASPLOS-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.
CASE-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.
CASE-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.
CASE-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.
CASE-2019-DaiYM #effectiveness: Multi-Robot Work Assignment Methods for Effectiveness Improvement of Deploying Service Robots (JD, HY, TM), pp. 1224–1229.
CASE-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.
CASE-2019-EdmondsYSW #generative: Generation of High-Density Hyperspectral Point Clouds of Crops with Robotic Multi-Camera Planning (ME, JY, NKS, LMW), pp. 1475–1480.
CASE-2019-FoxBSG #automation #learning: Multi-Task Hierarchical Imitation Learning for Home Automation (RF, RB, IS, KG), pp. 1–8.
CASE-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.
CASE-2019-GunawanYWV #problem: Simulated Annealing for the Multi-Vehicle Cyclic Inventory Routing Problem (AG, VFY, ATW, PV), pp. 691–696.
CASE-2019-HerguedasLS: Multi-camera coverage of deformable contour shapes (RH, GLN, CS), pp. 1597–1602.
CASE-2019-HoangPDZH #configuration management #using: Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO (VTH, MDP, THD, QZ, QPH), pp. 1670–1675.
CASE-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.
CASE-2019-JiangW: Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model (LJ, YW), pp. 936–941.
CASE-2019-LiWXLGL #design #optimisation #robust: Conditional Value at Riskbased Multidisciplinary Robust Design Optimization (WL, TW, MX, ML, LG, CL), pp. 30–35.
CASE-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.
CASE-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.
CASE-2019-MuthukumaranSE #hybrid #navigation: A Hybrid Control Strategy for Autonomous Navigation while Avoiding Multiple Obstacles at Unknown Locations (VM, RGS, GHE), pp. 1042–1047.
CASE-2019-PangXHP #modelling #optimisation #using: optimizing outpatient Department Staffing Level using Multi-Fidelity Models (BP, XX, BH, YP), pp. 715–720.
CASE-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.
CASE-2019-RazaL #approach #learning #policy: Constructive Policy: Reinforcement Learning Approach for Connected Multi-Agent Systems (SJAR, ML), pp. 257–262.
CASE-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.
CASE-2019-TallamrajuSRAKS: Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems (RT, DHS, SR, AA, KK, SVS), pp. 1469–1474.
CASE-2019-TsayL #automation #network #visual notation: Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks (CT, ZL), pp. 1802–1807.
CASE-2019-WangS: Multi-level Lot-streaming Production Planning with the Objective of Workload Balancing (WW, LS), pp. 685–690.
CASE-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.
CASE-2019-XingQ0 #algorithm #energy #hybrid #scheduling: A Hybrid Multi-objective Algorithm for Energy-Efficient Scheduling Considering Machine Maintenance* (JX, FQ, HL0), pp. 115–120.
CASE-2019-YangSZSWHP #validation: Multiphysics Dynamic Model Validation Methodology for Laser-Driven Microrobots (ZY, MNS, RZ, AS, DW, CKH, DOP), pp. 1555–1561.
CASE-2019-YangWLZ #algorithm #scheduling: A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System (ZY, XW, CL, QZ), pp. 745–750.
CGO-2019-Castro-LopezL #compilation #deployment #machine learning #modelling: Multi-target Compiler for the Deployment of Machine Learning Models (OCL, IFVL), pp. 280–281.
ESOP-2019-BuroM #on the: On the Multi-Language Construction (SB, IM), pp. 293–321.
CAV-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.
CAV-2019-ZhangHA #hybrid: Multi-armed Bandits for Boolean Connectives in Hybrid System Falsification (ZZ, IH, PA), pp. 401–420.
ICTSS-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.
ECSA-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.
ECSA-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.
ICSA-2018-ArcelliCDP #approach #architecture #named #refactoring: EASIER: An Evolutionary Approach for Multi-objective Software ArchItecturE Refactoring (DA, VC, MD, DDP), pp. 105–114.
ICSA-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.
JCDL-2018-Benotman0 #diagrams #navigation: Extending Multiple Diagram Navigation with Internal Diagram and Collection Connections (HB, DM0), pp. 141–144.
JCDL-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.
EDM-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).
EDM-2018-KoedingerSS #question #robust #set: Is the Doer Effect Robust Across Multiple Data Sets? (KRK, RS, PS).
EDM-2018-MittalNSDDK #knowledge base #using: Using a Common Sense Knowledge Base to Auto Generate Multi-Dimensional Vocabulary Assessments (RSM, SN, MS, UD, PD, RK).
EDM-2018-ReillyRS #collaboration #learning #using: Exploring Collaboration Using Motion Sensors and Multi-Modal Learning Analytics (JMR, MR, BS).
EDM-2018-SinghSCD #behaviour #learning #modelling #student: Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning (HS, SKS, RC, PD).
ICSME-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.
ICSME-2018-SchlieSS #analysis #matlab #matrix #modelling #using: Comparing Multiple MATLAB/Simulink Models Using Static Connectivity Matrix Analysis (AS, SS, IS), pp. 160–171.
ICSME-2018-WangMZ #debugging #empirical: An Empirical Study of Multi-entity Changes in Real Bug Fixes (YW, NM, HZ), pp. 287–298.
ICSME-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.
MSR-2018-XuZ #dataset #kernel #linux: A multi-level dataset of linux kernel patchwork (YX, MZ), pp. 54–57.
SANER-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.
CIAA-2018-DeBenedettoC #algorithm #automaton #regular expression: Algorithms and Training for Weighted Multiset Automata and Regular Expressions (JD, DC0), pp. 146–158.
FM-2018-MenghiGPT #ltl #nondeterminism: Multi-robot LTL Planning Under Uncertainty (CM, SG0, PP, JT), pp. 399–417.
FM-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.
FM-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.
SEFM-2018-SchuppA #analysis #concurrent #hybrid #safety #thread: Spread the Work: Multi-threaded Safety Analysis for Hybrid Systems (SS, EÁ), pp. 89–104.
AIIDE-2018-BeaupreWBS #approach #design pattern #generative: A Design Pattern Approach for Multi-Game Level Generation (SB, TW, SB, GS), pp. 145–151.
AIIDE-2018-MoraesMLN #abstraction #combinator: Action Abstractions for Combinatorial Multi-Armed Bandit Tree Search (ROM, JRHM, LHSL, MAN), pp. 74–80.
CIG-2018-BaierC #game studies: Evolutionary MCTS for Multi-Action Adversarial Games (HB, PIC), pp. 1–8.
CIG-2018-ChristiansenNG #framework: Multi-Parameterised Matchmaking: A Framework (AHC, BFN, EG), pp. 1–4.
CIG-2018-DubeyGLL #optimisation #realtime: Evolutionary Multi-objective Optimization of Real-Time Strategy Micro (RD, JG, SJL, SL0), pp. 1–8.
CIG-2018-SigurdsonB0HK #heuristic #realtime: Multi-Agent Pathfinding with Real-Time Heuristic Search (DS, VB, WY0, CH, SK), pp. 1–8.
FDG-2018-BichoM #generative #modelling: Multi-dimensional player skill progression modelling for procedural content generation (FB, CM), p. 10.
FDG-2018-FarlowT #game studies #heuristic #online: Periodic load balancing heuristics in massively multiplayer online games (SF, JLT), p. 10.
FDG-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.
FDG-2018-RingerN #detection #game studies #video: Deep unsupervised multi-view detection of video game stream highlights (CR, MAN), p. 6.
VS-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.
VS-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.
VS-Games-2018-Perez-ColadoRFM #game studies #learning: Multi-Level Game Learning Analytics for Serious Games (IJPC, DCR, MFM, IMO, BFM), pp. 1–4.
VS-Games-2018-SpyridonisDO #collaboration #communication #game studies #online #performance: Efficient In-Game Communication in Collaborative Online Multiplayer Games (FS, DDZ, MPO), pp. 1–4.
VS-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.
CIKM-2018-0013H #consistency #interactive #learning #modelling: Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity (XL0, JH), pp. 853–861.
CIKM-2018-AbelKPFK0AE #named: SOURCERY: User Driven Multi-Criteria Source Selection (EA, JAK, NWP, AAAF, MK, NK0, NAA, SME), pp. 1947–1950.
CIKM-2018-BuyukcakirBC #classification #novel #online: A Novel Online Stacked Ensemble for Multi-Label Stream Classification (AB, HRB, FC), pp. 1063–1072.
CIKM-2018-CirsteaMMG0 #correlation #network #using: Correlated Time Series Forecasting using Multi-Task Deep Neural Networks (RGC, DVM, GMM, CG, BY0), pp. 1527–1530.
CIKM-2018-HuL #collaboration #ranking: Collaborative Multi-objective Ranking (JH, PL0), pp. 1363–1372.
CIKM-2018-JinSLGWZ #learning #realtime: Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising (JJ, CS, HL, KG, JW0, WZ0), pp. 2193–2201.
CIKM-2018-KangFYXCT #named #network #ranking: X-Rank: Explainable Ranking in Complex Multi-Layered Networks (JK, SF, HY, YX, NC, HT), pp. 1959–1962.
CIKM-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.
CIKM-2018-LeL #graph #similarity: Multiperspective Graph-Theoretic Similarity Measure (DDL, HWL), pp. 1223–1232.
CIKM-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.
CIKM-2018-LuHC #challenge #database: Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges (JL, IH, BC), pp. 2301–2302.
CIKM-2018-NidzwetzkiG #big data #scalability: BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data (JKN, RHG), pp. 1867–1870.
CIKM-2018-NimishakaviMGT #framework #induction #streaming: Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information (MN, BM, MG, PPT), pp. 307–316.
CIKM-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.
CIKM-2018-OhSL #graph #learning: Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods (BO, SS, KHL), pp. 257–266.
CIKM-2018-PalottiZH #evaluation #framework #named: MM: A new Framework for Multidimensional Evaluation of Search Engines (JRMP, GZ, AH), pp. 1699–1702.
CIKM-2018-PapalexakisP #framework #named: tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data (EEP, KP), pp. 2223–2232.
CIKM-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.
CIKM-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.
CIKM-2018-Soboroff #retrieval: Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections (IS), pp. 713–722.
CIKM-2018-SunJSPOW #network #pointer #summary: Multi-Source Pointer Network for Product Title Summarization (FS, PJ, HS, CP, WO, XW), pp. 7–16.
CIKM-2018-Wang00 #semantics: Deep Semantic Hashing with Multi-Adversarial Training (BW, KL0, JZ0), pp. 1453–1462.
CIKM-2018-WangM #classification #sentiment: Multi-Emotion Category Improving Embedding for Sentiment Classification (SW, XM0), pp. 1719–1722.
CIKM-2018-WangSZWL #detection: Multi-View Group Anomaly Detection (HW, PS, MZ, HW, GL), pp. 277–286.
CIKM-2018-WuWL #classification #learning #sentiment: Imbalanced Sentiment Classification with Multi-Task Learning (FW, CW, JL), pp. 1631–1634.
CIKM-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.
CIKM-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.
CIKM-2018-XuLHLXYW #corpus #named #type system: METIC: Multi-Instance Entity Typing from Corpus (BX, ZL, LH, BL, YX, DY, WW0), pp. 903–912.
CIKM-2018-YangS #learning #named #performance: FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning (SY, XS), pp. 67–76.
CIKM-2018-YuTCY #modelling: Modeling Multi-way Relations with Hypergraph Embedding (CAY, CLT, TSC, YHY), pp. 1707–1710.
CIKM-2018-YuZYWW0C #feedback #ranking: Multiple Pairwise Ranking with Implicit Feedback (RY, YZ, YY, LW, CW, QL0, EC), pp. 1727–1730.
CIKM-2018-ZhangLMT #estimation: Relevance Estimation with Multiple Information Sources on Search Engine Result Pages (JZ, YL, SM, QT), pp. 627–636.
CIKM-2018-ZhangLNLX #graph #network: Multiresolution Graph Attention Networks for Relevance Matching (TZ, BL, DN, KL, YX), pp. 933–942.
CIKM-2018-ZhangZNWH #knowledge base #named: MultiE: Multi-Task Embedding for Knowledge Base Completion (ZZ, FZ, ZYN, DW, QH), pp. 1715–1718.
CIKM-2018-ZhongS0 #automation #detection #privacy #towards: Toward Automated Multiparty Privacy Conflict Detection (HZ, ACS, DJM0), pp. 1811–1814.
CIKM-2018-ZhuVGL #clustering #image: Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering (XZ, KDV, JG, JL), pp. 1723–1726.
ECIR-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.
ECIR-2018-AgrawalA #detection #learning #platform #social #social media: Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (SA, AA), pp. 141–153.
ECIR-2018-HaugGG #reasoning: Neural Multi-step Reasoning for Question Answering on Semi-structured Tables (TH, OEG, PG), pp. 611–617.
ECIR-2018-NiculaRR #learning: Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts (BN, SR, TR), pp. 678–683.
ECIR-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.
ICML-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.
ICML-2018-BoracchiCCM #data type #detection #named: QuantTree: Histograms for Change Detection in Multivariate Data Streams (GB, DC, CC, DM), pp. 638–647.
ICML-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.
ICML-2018-ChenBLR #adaptation #named #network #normalisation: GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks (ZC0, VB, CYL, AR), pp. 793–802.
ICML-2018-ChenXG #learning: End-to-End Learning for the Deep Multivariate Probit Model (DC, YX, CPG), pp. 931–940.
ICML-2018-ChePLJL #generative #modelling: Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series (ZC, SP, MGL, BJ, YL0), pp. 783–792.
ICML-2018-Chierichetti0T #learning: Learning a Mixture of Two Multinomial Logits (FC, RK0, AT), pp. 960–968.
ICML-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.
ICML-2018-GroverAGBE #learning #policy: Learning Policy Representations in Multiagent Systems (AG, MAS, JKG, YB, HE), pp. 1797–1806.
ICML-2018-HanHZ #classification #estimation #problem #scalability: Candidates vs. Noises Estimation for Large Multi-Class Classification Problem (LH, YH, TZ), pp. 1885–1894.
ICML-2018-Hebert-JohnsonK #named: Multicalibration: Calibration for the (Computationally-Identifiable) Masses (ÚHJ, MPK, OR, GNR), pp. 1944–1953.
ICML-2018-IlseTW #learning: Attention-based Deep Multiple Instance Learning (MI, JMT, MW), pp. 2132–2141.
ICML-2018-JanzingS #detection #linear #modelling: Detecting non-causal artifacts in multivariate linear regression models (DJ, BS), pp. 2250–2258.
ICML-2018-KalyanLKB #learning: Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations (AK, SL, AK, DB), pp. 2454–2463.
ICML-2018-LaurentB18a #network: The Multilinear Structure of ReLU Networks (TL0, JvB), pp. 2914–2922.
ICML-2018-LeeYH #learning #symmetry: Deep Asymmetric Multi-task Feature Learning (HL, EY, SJH), pp. 2962–2970.
ICML-2018-LinC #distributed #learning #probability: Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods (JL, VC), pp. 3098–3107.
ICML-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.
ICML-2018-MeyersonM #learning #pseudo: Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back (EM, RM), pp. 3508–3517.
ICML-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.
ICML-2018-Pouliot #equivalence #performance #statistics: Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory (GP), pp. 4130–4137.
ICML-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.
ICML-2018-RaileanuDSF #learning #modelling #using: Modeling Others using Oneself in Multi-Agent Reinforcement Learning (RR, ED, AS, RF), pp. 4254–4263.
ICML-2018-RashidSWFFW #learning #named: QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning (TR, MS, CSdW, GF, JNF, SW), pp. 4292–4301.
ICML-2018-SchwabKMMSK #learning: Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care (PS, EK, CM, DJM, CS, WK), pp. 4525–4534.
ICML-2018-SenKS #black box #optimisation: Multi-Fidelity Black-Box Optimization with Hierarchical Partitions (RS, KK, SS), pp. 4545–4554.
ICML-2018-SibliniMK #clustering #learning #performance #random: CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (WS, FM, PK), pp. 4671–4680.
ICML-2018-TongYAV: Adversarial Regression with Multiple Learners (LT, SY, SA, YV), pp. 4953–4961.
ICML-2018-TschannenKA #learning #named: StrassenNets: Deep Learning with a Multiplication Budget (MT, AK, AA), pp. 4992–5001.
ICML-2018-WangK #learning: Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations (XW, DK), pp. 5130–5138.
ICML-2018-WangLS #matrix: Coded Sparse Matrix Multiplication (SW, JL, NBS), pp. 5139–5147.
ICML-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.
ICML-2018-WangWY: Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Convariates (XW, MMW, TY), pp. 5187–5195.
ICML-2018-WehrmannCB #classification #network: Hierarchical Multi-Label Classification Networks (JW, RC, RCB), pp. 5225–5234.
ICML-2018-XiBG: Bayesian Quadrature for Multiple Related Integrals (XX, FXB, MAG), pp. 5369–5378.
ICML-2018-YangLLZZW #learning: Mean Field Multi-Agent Reinforcement Learning (YY, RL, ML, MZ, WZ0, JW0), pp. 5567–5576.
ICML-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.
ICML-2018-ZhangDG #induction #matrix #performance: Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow (XZ, SSD, QG), pp. 5751–5760.
ICML-2018-ZhangYL0B #distributed #learning: Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents (KZ, ZY, HL0, TZ0, TB), pp. 5867–5876.
ICPR-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.
ICPR-2018-CaiLWY #estimation #network: Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment (ZC, QL, SW, BY), pp. 495–500.
ICPR-2018-CaoFM #network #recognition: An End-to-End Neural Network for Multi-line License Plate Recognition (YC, HF, HM), pp. 3698–3703.
ICPR-2018-ChenHZLQ #analysis #detection #video: Video Salient Object Detection via Multiple Time-scale Analysis (YC, LH, WZ, XL, GQ), pp. 2184–2189.
ICPR-2018-ChooSJC #classification #network: Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification (SKC, WS, DjJ, NIC), pp. 103–108.
ICPR-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.
ICPR-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.
ICPR-2018-DehzangiBI #detection #process #using: Activity Detection using Fusion of Multi-Pressure Sensors in Insoles (OD, BAB, OI), pp. 3315–3321.
ICPR-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.
ICPR-2018-Do0V #graph: Knowledge Graph Embedding with Multiple Relation Projections (KD, TT0, SV), pp. 332–337.
ICPR-2018-DuSZ #contest #identification #network: Which Part is Better: Multi-Part Competition Network for person Re-Identification (PD, YS, YZ0), pp. 1634–1639.
ICPR-2018-GaolLH0W #automation #learning #predict: Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning (LG, WL, ZH, DH0, YW), pp. 3592–3597.
ICPR-2018-GuoDGB #detection #named: MSFD: Multi-Scale Receptive Field Face Detector (QG, YD, YG, HB), pp. 1869–1874.
ICPR-2018-GuoHSY #classification #rank: Low Rank Multi-Label Classification with Missing Labels (BG, CH, JS, DY), pp. 417–422.
ICPR-2018-HansenL: Multiphase Local Mean Geodesic Active Regions (JDKH, FL), pp. 3031–3036.
ICPR-2018-HanXW #generative #learning #network #representation: Learning Multi-view Generator Network for Shared Representation (TH0, XX, YNW), pp. 2062–2068.
ICPR-2018-HanZG #classification #composition #network: Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification (YH, SZ, ZG), pp. 284–289.
ICPR-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.
ICPR-2018-HuangZL #clustering #embedded: Spectral Embedded Clustering on Multi-Manifold (SH, LZ, FL), pp. 391–396.
ICPR-2018-HuiLCHY #image: Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders (LH, XL0, JC, HH, JY0), pp. 2044–2049.
ICPR-2018-HuJZZS #recognition: Multi-task Micro-expression Recognition Combining Deep and Handcrafted Features (CH, DJ, HZ, XZ, YS), pp. 946–951.
ICPR-2018-KhalidY #network #recognition: Multi-Modal Three-Stream Network for Action Recognition (MUK, JY), pp. 3210–3215.
ICPR-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.
ICPR-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.
ICPR-2018-LiDHCH #process #semantics: Multi-label Semantic Decoding from Human Brain Activity (DL, CD, LH, ZC, HH), pp. 3796–3801.
ICPR-2018-LiL18a #kernel #online: An Online Kernel Selection Wrapper via Multi-Armed Bandit Model (JL, SL), pp. 1307–1312.
ICPR-2018-LiuZWWZ #identification #mining: Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features (FL0, XZ, ZW, TW, YZ), pp. 3114–3119.
ICPR-2018-LiWX #recognition: Facial Expression Recognition by Multi-Scale CNN with Regularized Center Loss (ZL, SW, GX), pp. 3384–3389.
ICPR-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.
ICPR-2018-LuoKWCS #anti: Face Anti-Spoofing with Multi-Scale Information (SL, MK, SW, XC, SS), pp. 3402–3407.
ICPR-2018-MaB0: Dual-SVM tracker via Multiple Support Instance and LEVER Strategy (DM, WB, XW0), pp. 2124–2129.
ICPR-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.
ICPR-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.
ICPR-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.
ICPR-2018-MeiJSH #dependence #detection: Region and Temporal Dependency Fusion for Multi-label Action Unit Detection (CM, FJ, RS, QH), pp. 848–853.
ICPR-2018-NavyaSSRGPL #gender #identification: Multi-Gradient Directional Features for Gender Identification (BJN, GCS, PS, SR, DSG, UP0, TL), pp. 3657–3662.
ICPR-2018-NguyenLNP #pattern matching #pattern recognition #recognition: Bayesian Multi-Hyperplane Machine for Pattern Recognition (KN, TL, TDN, DQP), pp. 609–614.
ICPR-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.
ICPR-2018-PeiFR #learning: Learning with Latent Label Hierarchy from Incomplete Multi-Label Data (YP, XZF, RR), pp. 2075–2080.
ICPR-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.
ICPR-2018-PereraAP #generative #named #network #using: In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks (PP, MA, VMP), pp. 140–146.
ICPR-2018-PramerdorferKL #3d #bound #classification #network: Multi-View Classification and 3D Bounding Box Regression Networks (CP, MK, MVL), pp. 734–739.
ICPR-2018-RaghavendraVRGB #detection #recognition: Detecting Disguise Attacks on Multi-spectral Face Recognition Through Spectral Signatures (RR, NV, KBR, RSG, CB), pp. 3371–3377.
ICPR-2018-SadafiKHPMS #using: Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model (AS, VMK, HH, FP, VM, DS), pp. 2433–2437.
ICPR-2018-SchwarczP #2d #3d #estimation: 3D Human Pose Estimation from Deep Multi-View 2D Pose (SS, TP), pp. 2326–2331.
ICPR-2018-ShengCWL #detection #image #ranking: Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking (YS, LC, CW0, JL), pp. 2765–2770.
ICPR-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.
ICPR-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.
ICPR-2018-SuHK #analysis #classification #component #performance #using: Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis (YS, YH, CCJK), pp. 585–590.
ICPR-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.
ICPR-2018-SunLHW #algorithm #array #classification: A New ECOC Algorithm for Multiclass Microarray Data Classification (MS, KL, QH, BW), pp. 454–458.
ICPR-2018-SunLL: Part-based Multi-stream Model for Vehicle Searching (YS, ML, JL), pp. 1372–1377.
ICPR-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.
ICPR-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.
ICPR-2018-WangLH #algorithm #performance: An Efficient Budget Allocation Algorithm for Multi-Channel Advertising (XW, PL, AH), pp. 886–891.
ICPR-2018-WangLLL #detection #network: Anchor Free Network for Multi-Scale Face Detection (CW, ZL, SL, SL), pp. 1554–1559.
ICPR-2018-WangWCK #classification #image #learning #metric #set: Multiple Manifolds Metric Learning with Application to Image Set Classification (RW, XJW, KXC, JK), pp. 627–632.
ICPR-2018-WangXLTXX #detection #network: Multi-scale Fusion with Context-aware Network for Object Detection (HW, JX, LL, YT, DX, SX), pp. 2486–2491.
ICPR-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.
ICPR-2018-WitmerB #classification #image #learning #using: Multi-label Classification of Stem Cell Microscopy Images Using Deep Learning (AW, BB), pp. 1408–1413.
ICPR-2018-WuLCW #learning #semantics: Learning a Hierarchical Latent Semantic Model for Multimedia Data (SHW, YSL, SHC, JCW), pp. 2995–3000.
ICPR-2018-WuTL: Privileged Multi-Target Support Vector Regression (GW, YT, DL), pp. 385–390.
ICPR-2018-WuZLW #image #novel: A Novel Model for Multi-label Image Annotation (XW, LZ0, FL, BW), pp. 1953–1958.
ICPR-2018-XieW #detection #segmentation #semantics: Multi-scale Semantic Segmentation Enriched Features for Pedestrian Detection (XX, ZW), pp. 2196–2201.
ICPR-2018-XuCG #learning #modelling #random #using: Common Random Subgraph Modeling Using Multiple Instance Learning (TX, DKYC, IG), pp. 1205–1210.
ICPR-2018-XuGSL: Non-iterative multiple data registration method based on the motion screw theory and trackable features (PX, FG, ZS, JL), pp. 2428–2432.
ICPR-2018-XuZL #feature model #named #recognition: MSSVT: Multi-scale feature extraction for single face recognition (XX, LZ, FL), pp. 1996–2001.
ICPR-2018-Yang0K #generative #network: Multi-scale Generative Adversarial Networks for Crowd Counting (JY, YZ0, SYK), pp. 3244–3249.
ICPR-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.
ICPR-2018-YinLLCS #detection #realtime: Cross Modal Multiscale Fusion Net for Real-time RGB-D Detection (KY, SL0, RL, YC, KS), pp. 2386–2391.
ICPR-2018-YinLZ #clustering: Multi-Source Clustering based on spectral recovery (HY, FL, LZ), pp. 231–236.
ICPR-2018-Yip0 #recognition: Grouped Multi-Task CNN for Facial Attribute Recognition (CY, HH0), pp. 272–277.
ICPR-2018-YiXWF #adaptation #recognition: Multi-source Domain Adaptation for Face Recognition (HY, ZX, YW, ZF), pp. 1349–1354.
ICPR-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.
ICPR-2018-YuanWXZ #empirical #estimation #learning: Multiple- Instance Learning with Empirical Estimation Guided Instance Selection (LY, XW, HX, LZ), pp. 770–775.
ICPR-2018-ZhangDD #recognition: Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition (JZ, JD, LD), pp. 2245–2250.
ICPR-2018-ZhangDKQL #detection #network: Global Contrast Enhancement Detection via Deep Multi-Path Network (CZ, DD, LK, HQ, SL), pp. 2815–2820.
ICPR-2018-ZhangDW #realtime #visual notation: Multi-layer CNN Features Aggregation for Real-time Visual Tracking (LZ, YD, YW), pp. 2404–2409.
ICPR-2018-ZhangJZZSLH #named #segmentation: SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation (YZ, XJ, CZ, YZ, ZS, ZL, ZH), pp. 3947–3952.
ICPR-2018-ZhangWG #adaptation #learning #representation: Adaptive Latent Representation for Multi-view Subspace Learning (YZ, XW, XG), pp. 1229–1234.
ICPR-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.
ICPR-2018-ZhengWXHG #adaptation #detection #self: A Noise-Robust Self-Adaptive Multitarget Speaker Detection System (SZ, JW, JX, WNH, JRG), pp. 1068–1072.
ICPR-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.
ICPR-2018-ZhouXZH #graph #higher-order #online: Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching (ZZ, JX, MZ, WH), pp. 1809–1814.
ICPR-2018-Zhuang0CW #classification #learning: Multi-task Learning of Cascaded CNN for Facial Attribute Classification (NZ, YY0, SC, HW), pp. 2069–2074.
ICPR-2018-ZhuMT #graph #kernel #retrieval: Multi-Kernel Supervised Hashing with Graph Regularization for Cross-Modal Retrieval (MZ, HM, JT), pp. 2717–2722.
ICPR-2018-ZouLZ #adaptation #clustering: Nonnegative and Adaptive Multi-view Clustering (PZ, FL, LZ), pp. 1247–1252.
KDD-2018-CaiWGSJ #learning: Deep Adversarial Learning for Multi-Modality Missing Data Completion (LC, ZW, HG, DS, SJ), pp. 1158–1166.
KDD-2018-ChenHNLLWX #named: MIX: Multi-Channel Information Crossing for Text Matching (HC, FXH, DN, DL, KL, CW, YX), pp. 110–119.
KDD-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.
KDD-2018-DuDXZW: Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching (CD, CD, XX, CZ, HW), pp. 1348–1357.
KDD-2018-FoxAJPW #learning #predict: Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories (IF, LA, MJ, RPB, JW), pp. 1387–1395.
KDD-2018-HanSSZ #collaboration #learning #semistructured data: Multi-label Learning with Highly Incomplete Data via Collaborative Embedding (YH, GS, YS, XZ0), pp. 1494–1503.
KDD-2018-Janakiraman #learning #safety #using: Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning (VMJ), pp. 406–415.
KDD-2018-JeongJ #learning: Variable Selection and Task Grouping for Multi-Task Learning (JYJ, CHJ), pp. 1589–1598.
KDD-2018-LiFWSYL #estimation #learning #representation: Multi-task Representation Learning for Travel Time Estimation (YL, KF, ZW, CS, JY, YL0), pp. 1695–1704.
KDD-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.
KDD-2018-LinZXZ #learning #performance #scalability: Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (KL, RZ, ZX, JZ), pp. 1774–1783.
KDD-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.
KDD-2018-NieHL #learning: Calibrated Multi-Task Learning (FN, ZH, XL), pp. 2012–2021.
KDD-2018-NieTL #adaptation #clustering: Multiview Clustering via Adaptively Weighted Procrustes (FN, LT, XL), pp. 2022–2030.
KDD-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.
KDD-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.
KDD-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.
KDD-2018-SunBZWZ #modelling #network: Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases (MS, IMB, LZ, ZW, JZ), pp. 2259–2268.
KDD-2018-SunHYC: Multi-Round Influence Maximization (LS, WH0, PSY, WC), pp. 2249–2258.
KDD-2018-SureshGG #learning: Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU (HS, JJG, JVG), pp. 802–810.
KDD-2018-TayLH #network #recommendation: Multi-Pointer Co-Attention Networks for Recommendation (YT, ATL, SCH), pp. 2309–2318.
KDD-2018-TayTH #network: Multi-Cast Attention Networks (YT, LAT, SCH), pp. 2299–2308.
KDD-2018-WangJZEC #behaviour #learning: Multi-Type Itemset Embedding for Learning Behavior Success (DW, MJ0, QZ, ZE, NVC), pp. 2397–2406.
KDD-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.
KDD-2018-WangWLW #analysis #composition #network: Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis (JW, ZW, JL, JW), pp. 2437–2446.
KDD-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.
KDD-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.
KDD-2018-ZhangW #crowdsourcing: Multi-Label Inference for Crowdsourcing (JZ, XW0), pp. 2738–2747.
ICMT-2018-Hinkel #framework #modelling #named #platform: NMF: A Multi-platform Modeling Framework (GH), pp. 184–194.
MoDELS-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.
MoDELS-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.
MoDELS-2018-WestfechtelG #model transformation #variability: From Single- to Multi-Variant Model Transformations: Trace-Based Propagation of Variability Annotations (BW, SG), pp. 46–56.
OOPSLA-2018-DietzA #library: Software multiplexing: share your libraries and statically link them too (WD, VSA), p. 26.
LOPSTR-2018-CarboneCMM: Multiparty Classical Choreographies (MC, LCF, FM, AM), pp. 59–76.
LOPSTR-2018-Garcia-Contreras #abstract interpretation: Multivariant Assertion-Based Guidance in Abstract Interpretation (IGC, JFM, MVH), pp. 184–201.
PLDI-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.
POPL-2018-PulteFDFSS #axiom #concurrent #modelling: Simplifying ARM concurrency: multicopy-atomic axiomatic and operational models for ARMv8 (CP, SF, WD, JF, SS, PS), p. 29.
ASE-2018-AlizadehK #clustering #interactive #refactoring: Reducing interactive refactoring effort via clustering-based multi-objective search (VA, MK), pp. 464–474.
ASE-2018-BeyerF #concurrent #independence #model checking #thread: Domain-independent multi-threaded software model checking (DB, KF), pp. 634–644.
ASE-2018-DustmannWC #execution #named #symbolic computation: PARTI: a multi-interval theory solver for symbolic execution (OSD, KW, CC), pp. 430–440.
ASE-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.
ASE-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.
GPCE-2018-StuckiBO #metaprogramming #unification: A practical unification of multi-stage programming and macros (NS, AB, MO), pp. 14–27.
ASPLOS-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.
ASPLOS-2018-ZhaL #configuration management #scalability: Liquid Silicon-Monona: A Reconfigurable Memory-Oriented Computing Fabric with Scalable Multi-Context Support (YZ, JL), pp. 214–228.
CASE-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.
CASE-2018-CavoneDEMS #design #nondeterminism: A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty (GC, MD, NE, DM, CS), pp. 528–533.
CASE-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.
CASE-2018-FazliradB #overview #perspective #scheduling #state of the art: Multiagent Manufacturing Scheduling: An Updated State of the Art Review (AF, RWB), pp. 722–729.
CASE-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.
CASE-2018-LuderPRBR #migration #towards: Support for engineering chain migration towards multi-diciplinary engineering chains (AL, JLP, RR, SB, FR), pp. 671–674.
CASE-2018-MaierUG #automation #continuation #implementation #performance: Efficient Implementation of Task Automation to Support Multidisciplinary Engineering of CPS (RM, SU, MG), pp. 1388–1393.
CASE-2018-MalhanKSSGC #hybrid: Hybrid Cells for Multi-Layer Prepreg Composite Sheet Layup (RKM, AMK, AVS, BCS, SKG, TC), pp. 1466–1472.
CASE-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.
CASE-2018-SarkarDA #performance #semantics #towards: Semantic knowledge driven utility calculation towards efficient multi-robot task allocation (CS, SD, MA), pp. 144–147.
CASE-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.
CASE-2018-ThayerVGC #algorithm: Multi-Robot Routing Algorithms for Robots Operating in Vineyards (TCT, SV, KG, SC), pp. 14–21.
CASE-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.
CASE-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.
CASE-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.
CASE-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.
CASE-2018-XuXLLW: A Multi-Mode Biomimetic Wall-Climbing Robot (JX, LX, JL, XL, XW), pp. 514–519.
CASE-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.
CASE-2018-YangH #graph #on the: On a class of multi-input laplacian controllable graphs (PYY, SPH), pp. 310–315.
CASE-2018-ZhangWZ #in the cloud #resource management: Multi-user Multi-provider Resource Allocation in Cloud Computing (PZ, XW, MZ), pp. 1428–1433.
CASE-2018-ZhangZG #case study #optimisation #problem: Multiobjective Optimization Approaches to Airline Crew Rostering Problems: A Case Study (ZZ, MZ, SG), pp. 750–755.
CASE-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.
FASE-2018-0001PJ #product line #variability: Taming Multi-Variability of Software Product Line Transformations (DS0, SP, JJ), pp. 337–355.
FASE-2018-DiskinKL #lens: Multiple Model Synchronization with Multiary Delta Lenses (ZD, HK, ML), pp. 21–37.
CAV-2018-FengKLXZ #automaton #monitoring: Monitoring CTMCs by Multi-clock Timed Automata (YF, JPK, HL, BX, NZ), pp. 507–526.
CAV-2018-Walther: Formally Verified Montgomery Multiplication (CW), pp. 505–522.
CSL-2018-DownenA #towards: Beyond Polarity: Towards a Multi-Discipline Intermediate Language with Sharing (PD, ZMA), p. 23.
ICST-2018-Arcuri #automation #generative #named #testing: EvoMaster: Evolutionary Multi-context Automated System Test Generation (AA), pp. 394–397.
ICST-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.
ICST-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.
VMCAI-2018-HumenbergerJK #generative #invariant #polynomial: Invariant Generation for Multi-Path Loops with Polynomial Assignments (AH, MJ, LK), pp. 226–246.
CSEET-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.
CSEET-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.
EDM-2017-BaoCH #learning #on the #online: On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning (YB, GC, CH).
EDM-2017-PatikornSHBZ #detection #using: Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects (TP, DS, NTH, JB, JZ).
ICSME-2017-GoonetillekeMB #data transformation #dependence #evolution #graph: Graph Data Management of Evolving Dependency Graphs for Multi-versioned Codebases (OG, DM, BB), pp. 574–583.
ICSME-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.
ICSME-2017-LiJZZ #fault #kernel #learning #predict: Heterogeneous Defect Prediction Through Multiple Kernel Learning and Ensemble Learning (ZL0, XYJ, XZ, HZ0), pp. 91–102.
ICSME-2017-Yu #evolution #named #testing: SimEvo: Testing Evolving Multi-process Software Systems (TY), pp. 204–215.
MSR-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.
SANER-2017-AlexandruPG #analysis: Reducing redundancies in multi-revision code analysis (CVA, SP, HCG), pp. 148–159.
SANER-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.
SANER-2017-DorningerMP #cobol #java #migration: Multi-language re-documentation to support a COBOL to Java migration project (BD, MM, JP), pp. 536–540.
AFL-2017-AlhazovFIV: (Tissue) P Systems with Vesicles of Multisets (AA, RF, SI, SV), pp. 11–25.
FSCD-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-PLAY-2017-ArroyoMCOHR #game studies #learning #smarttech: Wearable Learning: Multiplayer Embodied Games for Math (IA, MM, JC, EO, TH, MMTR), pp. 205–216.
CHI-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-PLAY-2017-DeppingM #game studies #how #social: Cooperation and Interdependence: How Multiplayer Games Increase Social Closeness (AED, RLM), pp. 449–461.
CHI-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-PLAY-2017-VellaKJ #game studies: The Impact of Agency and Familiarity in Cooperative Multiplayer Games (KV, CJK, DJ0), pp. 423–434.
CIG-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.
CIG-2017-BrownA #game studies #using: Using multiple worlds for multiple agent roles in games (JAB, DA), pp. 37–44.
CIG-2017-GrossiR #behaviour #communication: Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains (GG, BR), pp. 110–117.
CIG-2017-SnodgrassO #generative #using: Procedural level generation using multi-layer level representations with MdMCs (SS, SO), pp. 280–287.
FDG-2017-KaravolosLY #game studies #learning: Learning the patterns of balance in a multi-player shooter game (DK, AL, GNY), p. 10.
FDG-2017-SiuGR #game studies: Evaluating singleplayer and multiplayer in human computation games (KS, MG, MOR), p. 10.
VS-Games-2017-AbellardA #adaptation #game studies: Serious games adapted to children with profound intellectual and multiple disabilities (PA, AA), pp. 183–184.
VS-Games-2017-TsatsouVD #adaptation #case study #experience #learning #modelling: Modelling learning experiences in adaptive multi-agent learning environments (DT, NV, PD), pp. 193–200.
CIKM-2017-AmsterdamerG #named: PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World (YA, OG0), pp. 2443–2446.
CIKM-2017-BrayteeLCK #correlation #feature model #using: Multi-Label Feature Selection using Correlation Information (AB, WL0, DRC, PJK), pp. 1649–1656.
CIKM-2017-ChaiLTS #learning: Compact Multiple-Instance Learning (JC, WL0, IWT, XBS), pp. 2007–2010.
CIKM-2017-GalimbertiBG #composition #network: Core Decomposition and Densest Subgraph in Multilayer Networks (EG, FB, FG), pp. 1807–1816.
CIKM-2017-HaqueWCDKH #classification #named #online: FUSION: An Online Method for Multistream Classification (AH, ZW, SC, BD, LK, KWH), pp. 919–928.
CIKM-2017-KimJY #online #using: Construction of a National Scale ENF Map using Online Multimedia Data (HK, YBJ, JWY), pp. 19–28.
CIKM-2017-LiGX #image #retrieval: Deep Multi-Similarity Hashing for Multi-label Image Retrieval (TL, SG, YX), pp. 2159–2162.
CIKM-2017-LinMZ #approach #identification #modelling #topic: An Enhanced Topic Modeling Approach to Multiple Stance Identification (JL, WM, YZ), pp. 2167–2170.
CIKM-2017-LiuH #adaptation #framework #personalisation #predict: A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection (ZL, MH), pp. 1169–1177.
CIKM-2017-LiuZLCYM: Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions (CL0, YZ, LL0, LC, DY, CM), pp. 287–295.
CIKM-2017-MaHLSYLR #analysis #clustering #graph: Multi-view Clustering with Graph Embedding for Connectome Analysis (GM, LH0, CTL, WS, PSY, ADL, ABR), pp. 127–136.
CIKM-2017-ManotumruksaMO17a #framework #personalisation #ranking #recommendation: A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation (JM, CM, IO), pp. 1469–1478.
CIKM-2017-MeleBC #analysis: Linking News across Multiple Streams for Timeliness Analysis (IM, SAB, FC), pp. 767–776.
CIKM-2017-NayeemC #generative: Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation (MTN, YC), pp. 2223–2226.
CIKM-2017-PatwariGB #classification #detection #named: TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates (AP, DG, SB), pp. 2259–2262.
CIKM-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.
CIKM-2017-SongYL #algorithm #set: SIMD-Based Multiple Sets Intersection with Dual-Scale Search Algorithm (XS, YY, XL), pp. 2311–2314.
CIKM-2017-TayTPH #graph #network #predict: Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs (YT, LAT, MCP, SCH), pp. 1029–1038.
CIKM-2017-TengLW #detection #learning #network #using: Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning (XT, YRL, XW), pp. 827–836.
CIKM-2017-WengLHF #crowdsourcing: Crowdsourced Selection on Multi-Attribute Data (XW, GL0, HH, JF), pp. 307–316.
CIKM-2017-XuG #query: Query and Animate Multi-attribute Trajectory Data (JX, RHG), pp. 2551–2554.
CIKM-2017-YuanSCZG0 #detection #sequence: Detecting Multiple Periods and Periodic Patterns in Event Time Sequences (QY0, JS, XC, CZ0, XG, JH0), pp. 617–626.
CIKM-2017-ZhangCLG0X #named: MIKE: Keyphrase Extraction by Integrating Multidimensional Information (YZ, YC, XL, SDG, XL0, CX), pp. 1349–1358.
CIKM-2017-ZhengZS #collaboration: Local Ensemble across Multiple Sources for Collaborative Filtering (JZ, FZ, CS), pp. 2431–2434.
CIKM-2017-ZhuZHWZZY #collaboration #learning #recommendation: Broad Learning based Multi-Source Collaborative Recommendation (JZ, JZ, LH0, QW, BZ0, CZ, PSY), pp. 1409–1418.
ECIR-2017-AliannejadiRC #keyword #personalisation: Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs (MA, DR, FC), pp. 291–303.
ECIR-2017-RomeoMBM #approach #learning #ranking: A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking (SR, GDSM, ABC, AM), pp. 437–449.
ICML-2017-AchabBGMM: Uncovering Causality from Multivariate Hawkes Integrated Cumulants (MA, EB, SG, IM, JFM), pp. 1–10.
ICML-2017-AndreasKL #composition #learning #policy #sketching: Modular Multitask Reinforcement Learning with Policy Sketches (JA, DK, SL), pp. 166–175.
ICML-2017-AppelP #empirical #framework: A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency (RA, PP), pp. 186–194.
ICML-2017-BeygelzimerOZ #learning #online #performance: Efficient Online Bandit Multiclass Learning with Õ(√T) Regret (AB, FO, CZ), pp. 488–497.
ICML-2017-BuddenMSCS: Deep Tensor Convolution on Multicores (DMB, AM, SS, SRC, NS), pp. 615–624.
ICML-2017-Busa-FeketeSWM #optimisation: Multi-objective Bandits: Optimizing the Generalized Gini Index (RBF, BS, PW, SM), pp. 625–634.
ICML-2017-ChangCCCSD #clustering #nondeterminism: Multiple Clustering Views from Multiple Uncertain Experts (YC, JC, MHC, PJC, EKS, JGD), pp. 674–683.
ICML-2017-ChenC0Z #adaptation #identification: Adaptive Multiple-Arm Identification (JC, XC0, QZ0, YZ0), pp. 722–730.
ICML-2017-ChowdhuryG #kernel #on the: On Kernelized Multi-armed Bandits (SRC, AG), pp. 844–853.
ICML-2017-FoersterNFATKW #experience #learning: Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning (JNF, NN, GF, TA, PHST, PK, SW), pp. 1146–1155.
ICML-2017-FutomaHH #classification #detection #learning #process: Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier (JF, SH, KAH), pp. 1174–1182.
ICML-2017-HoNYBHP #clustering: Multilevel Clustering via Wasserstein Means (NH, XN, MY, HHB, VH, DQP), pp. 1501–1509.
ICML-2017-HornakovaLA #analysis #graph #optimisation: Analysis and Optimization of Graph Decompositions by Lifted Multicuts (AH, JHL, BA), pp. 1539–1548.
ICML-2017-JainMR #generative #learning #modelling #scalability: Scalable Generative Models for Multi-label Learning with Missing Labels (VJ, NM, PR), pp. 1636–1644.
ICML-2017-KandasamyDSP #approximate #optimisation: Multi-fidelity Bayesian Optimisation with Continuous Approximations (KK, GD, JGS, BP), pp. 1799–1808.
ICML-2017-LeeHPS #learning: Confident Multiple Choice Learning (KL, CH, KP, JS), pp. 2014–2023.
ICML-2017-LeY0L #coordination #learning: Coordinated Multi-Agent Imitation Learning (HML0, YY, PC0, PL), pp. 1995–2003.
ICML-2017-LiuWY: Analogical Inference for Multi-relational Embeddings (HL, YW, YY), pp. 2168–2178.
ICML-2017-LouizosW #network #normalisation: Multiplicative Normalizing Flows for Variational Bayesian Neural Networks (CL, MW), pp. 2218–2227.
ICML-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.
ICML-2017-OchiaiWHH #recognition #speech: Multichannel End-to-end Speech Recognition (TO, SW, TH, JRH), pp. 2632–2641.
ICML-2017-OhSLK #learning: Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning (JO, SPS, HL, PK), pp. 2661–2670.
ICML-2017-OmidshafieiPAHV #distributed #learning: Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability (SO, JP, CA, JPH, JV), pp. 2681–2690.
ICML-2017-PentinaL #learning: Multi-task Learning with Labeled and Unlabeled Tasks (AP, CHL), pp. 2807–2816.
ICML-2017-RaghunathanVZ: Estimating the unseen from multiple populations (AR, GV, JZ), pp. 2855–2863.
ICML-2017-SaxeER #composition: Hierarchy Through Composition with Multitask LMDPs (AMS, ACE, BR), pp. 3017–3026.
ICML-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.
ICML-2017-UbaruM #classification #testing: Multilabel Classification with Group Testing and Codes (SU, AM), pp. 3492–3501.
ICML-2017-Villacampa-Calvo #classification #process #scalability #using: Scalable Multi-Class Gaussian Process Classification using Expectation Propagation (CVC, DHL), pp. 3550–3559.
ICML-2017-WeiSKOG #process #similarity: Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression (PW, RS, YK, YSO, CKG), pp. 3722–3731.
ICML-2017-WuZ #metric #performance: A Unified View of Multi-Label Performance Measures (XZW, ZHZ), pp. 3780–3788.
ICML-2017-ZhangZ: Multi-Class Optimal Margin Distribution Machine (TZ, ZHZ), pp. 4063–4071.
ICML-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.
KDD-2017-AgarwalBSJ #effectiveness #evaluation #feedback #using: Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers (AA, SB0, TS, TJ), pp. 687–696.
KDD-2017-ChangYY #recognition #robust #visual notation: Robust Top-k Multiclass SVM for Visual Category Recognition (XC, YY, YY0), pp. 75–83.
KDD-2017-EmraniMX #learning #using: Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning (SE, AM, WX), pp. 1457–1466.
KDD-2017-HallacVBL #clustering: Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data (DH, SV, SPB, JL), pp. 215–223.
KDD-2017-HillNLIV #algorithm #optimisation #performance #realtime: An Efficient Bandit Algorithm for Realtime Multivariate Optimization (DNH, HN, YL0, AI, SVNV), pp. 1813–1821.
KDD-2017-KittsKYZBPTTJ: Ad Serving with Multiple KPIs (BK, MK, IY, YZ, GB, AP, ST, ET, SRJ), pp. 1853–1861.
KDD-2017-KomiyamaIANM #mining #statistics #testing: Statistical Emerging Pattern Mining with Multiple Testing Correction (JK, MI, HA, TN, SiM), pp. 897–906.
KDD-2017-LiuPH #distributed #learning: Distributed Multi-Task Relationship Learning (SL, SJP, QH), pp. 937–946.
KDD-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.
KDD-2017-QinKWRC #named: MARAS: Signaling Multi-Drug Adverse Reactions (XQ0, TK, SW, EAR, LC), pp. 1615–1623.
KDD-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.
KDD-2017-SongHGCH #streaming: Multi-Aspect Streaming Tensor Completion (QS, XH, HG, JC, XH), pp. 435–443.
KDD-2017-Tagami #approximate #classification #named #nearest neighbour: AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification (YT), pp. 455–464.
KDD-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.
KDD-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.
KDD-2017-WangSZTJZ #matrix #modelling: Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (QW, MS, LZ, PT0, SJ, JZ), pp. 1155–1164.
KDD-2017-XieBLZ #distributed #learning #privacy: Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates (LX, IMB, KL, JZ), pp. 1195–1204.
KDD-2017-YangTH: Multi-task Function-on-function Regression with Co-grouping Structured Sparsity (PY, QT, JH), pp. 1255–1264.
KDD-2017-YouX0T #education #learning #network: Learning from Multiple Teacher Networks (SY, CX0, CX0, DT), pp. 1285–1294.
KDD-2017-ZhangAQ #predict: Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (LZ, CCA, GJQ), pp. 2141–2149.
KDD-2017-ZhangCTSS #effectiveness #learning #named: LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity (YZ, RC, JT0, WFS, JS), pp. 1315–1324.
KDD-2017-ZhanZ #induction #learning: Inductive Semi-supervised Multi-Label Learning with Co-Training (WZ, MLZ), pp. 1305–1314.
ECOOP-2017-ScalasDHY #composition #distributed #linear #programming: A Linear Decomposition of Multiparty Sessions for Safe Distributed Programming (AS, OD, RH, NY), p. 31.
AdaEurope-2017-GarridoZ0P: Evaluating MSRP and MrsP with the Multiprocessor Ravenscar Profile (JG, JZ, AA0, JAdlP), pp. 3–17.
ESEC-FSE-2017-BunyakiatiP #commit: Cherry-picking of code commits in long-running, multi-release software (PB, CP), pp. 994–998.
ESEC-FSE-2017-MaggioPFH #automation #using: Automated control of multiple software goals using multiple actuators (MM, AVP, AF, HH), pp. 373–384.
ESEC-FSE-2017-SorensenED #algorithm #gpu #kernel: Cooperative kernels: GPU multitasking for blocking algorithms (TS0, HE, AFD), pp. 431–441.
GPCE-2017-GeG #programming #semantics: Refining semantics for multi-stage programming (RG0, RG), pp. 2–14.
GPCE-2017-OishiK #programming #staging #type safety: Staging with control: type-safe multi-stage programming with control operators (JO, YK), pp. 29–40.
SLE-2017-TendelooMMV #approach #modelling #syntax: Concrete syntax: a multi-paradigm modelling approach (YVT, SVM, BM, HV), pp. 182–193.
ASPLOS-2017-CoxB #architecture #performance: Efficient Address Translation for Architectures with Multiple Page Sizes (GC, AB), pp. 435–448.
ASPLOS-2017-ParkPM #performance #resource management: Dynamic Resource Management for Efficient Utilization of Multitasking GPUs (JJKP, YP, SAM), pp. 527–540.
ASPLOS-2017-RajbhandariHRCC #optimisation #performance #scalability: Optimizing CNNs on Multicores for Scalability, Performance and Goodput (SR, YH, OR, MC, TMC), pp. 267–280.
CASE-2017-BaeM #markov #random: Markovian property for the delays in multiclass deterministic flow lines with random arrivals (SYB, JRM), pp. 729–730.
CASE-2017-BaoW #clustering #scheduling #tool support: Cyclic scheduling of multi-cluster tools based on equivalent processing modules (TB, HW), pp. 642–647.
CASE-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.
CASE-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.
CASE-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.
CASE-2017-ChenZ #automation #detection #using: An automatic seizure detection method using multi-channel EEG signals (SC, XZ0), pp. 94–95.
CASE-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.
CASE-2017-ClementeFNSU #modelling #problem: Modelling and solving the multi-day container drayage problem (MC, MPF, MN, GS, WU), pp. 231–236.
CASE-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.
CASE-2017-DengLXJ #design #difference: Differentiation copayment design to improve the multi-tiered healthcare system in China (YD, NL, XX, ZJ), pp. 201–206.
CASE-2017-FangM #automation #energy: Energy-efficient elevating transfer vehicle routing for automated multi-level material handling systems (ZF, JM), pp. 249–254.
CASE-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.
CASE-2017-KangMPJ #analysis #modelling: Multi-fidelity modeling for analysis of serial production lines (YK, LM, GP, FJ), pp. 30–35.
CASE-2017-KimPK #3d #scheduling: Scheduling 3D printers with multiple printing alternatives (JK, SSP, HJK), pp. 488–493.
CASE-2017-LiS0L #programming: Nonlinear programming for multi-vehicle motion planning with homotopy initialization strategies (BL, ZS, YZ0, PL), pp. 118–123.
CASE-2017-LongTJ #nondeterminism #optimisation: Multi-scale event-based optimization for matching uncertain wind supply with EV charging demand (TL, JXT, QSJ), pp. 847–852.
CASE-2017-MingJL0 #capacity #design: Multiple battery capacity design for EVs considering heterogeneous DVMT of different drivers (ZM, PJ, ZL, LL0), pp. 1663–1667.
CASE-2017-NagavalliCS #behaviour #on the #scheduling: On time-optimal behavior scheduling of robotic swarms for achieving multiple goals (SN, NC, KPS), pp. 1546–1553.
CASE-2017-NieGYG #energy #optimisation: Realizability guaranteed multi-timescale optimization decision for home energy management (ZN, FG, CBY, XG), pp. 875–881.
CASE-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.
CASE-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.
CASE-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.
CASE-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.
CASE-2017-WigstromMRL #energy #optimisation #performance: Computationally efficient energy optimization of multiple robots (OW, NM, SR, BL), pp. 515–522.
CASE-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.
CASE-2017-XiaoHTJ #approach: Containment control of multiagent systems: A DOBC approach (BX, TH, QT, TJ), pp. 1577–1580.
CASE-2017-YuanBZ #scheduling: Revenue-sensitive scheduling of multi-application tasks in software-defined cloud (HY, JB, MZ), pp. 1566–1571.
CASE-2017-ZhangH #algorithm #coordination: Cooperative bat searching algorithm: A combined perspective from multiagent coordination and swarm intelligence (HZ0, QH), pp. 1362–1367.
CASE-2017-ZhaoCDW #fault #learning #taxonomy: TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis (ZZ, XC, BD, SW), pp. 554–559.
CC-2017-NeykovaY: Let it recover: multiparty protocol-induced recovery (RN, NY), pp. 98–108.
CGO-2017-CotaBBC: Cross-ISA machine emulation for multicores (EGC, PB, AB, LPC), pp. 210–220.
FASE-2017-HuY: Explicit Connection Actions in Multiparty Session Types (RH, NY), pp. 116–133.
CAV-2017-QuatmannJK #automaton #markov: Markov Automata with Multiple Objectives (TQ, SJ, JPK), pp. 140–159.
CAV-2017-Ben-AmramG #on the #ranking: On Multiphase-Linear Ranking Functions (AMBA, SG), pp. 601–620.
ICST-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.
ICST-2017-PouldingF17a #automation #random testing #testing: Automated Random Testing in Multiple Dispatch Languages (SMP, RF), pp. 333–344.
ICST-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.
ICTSS-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.
VMCAI-2017-ChakrabortyGJ: Matching Multiplications in Bit-Vector Formulas (SC, AG, RJ0), pp. 131–150.
CBSE-2016-GallidabinoP #component #web: Deploying Stateful Web Components on Multiple Devices with Liquid.js for Polymer (AG, CP), pp. 85–90.
ECSA-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.
ECSA-2016-HolsteinW #architecture #towards: Towards an Architecture for an UI-Compositor for Multi-OS Environments (TH, JW), pp. 138–145.
WICSA-2016-GarbaNB #named #scalability #variability: MUSA: A Scalable Multi-touch and Multi-perspective Variability Management Tool (MG, AN, RB), pp. 299–302.
WICSA-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.
EDM-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.
EDM-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.
EDM-2016-RenRJ #modelling #performance #predict #using: Predicting Performance on MOOC Assessments using Multi-Regression Models (ZR, HR, AJ), pp. 484–489.
EDM-2016-Sande #component #learning #problem: Learning Curves for Problems with Multiple Knowledge Components (BvdS), pp. 523–526.
ICPC-2016-BeckMW #comparison #composition #identification #visual notation: Identifying modularization patterns by visual comparison of multiple hierarchies (FB0, JM, DW), pp. 1–10.
ICPC-2016-SanchezWS #java: Multistaging to understand: Distilling the essence of java code examples (HS, JW, MS), pp. 1–10.
ICSME-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.
ICSME-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.
ICSME-2016-ZhangLXLSS: Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model (YZ0, DL0, XX0, TDBL, GS, JS), pp. 110–121.
MSR-2016-ZhuZM #dataset #issue tracking: Multi-extract and multi-level dataset of mozilla issue tracking history (JZ, MZ, HM), pp. 472–475.
SANER-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.
SANER-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.
SANER-2016-LiuLNBB #fault #modelling: Localizing Multiple Faults in Simulink Models (BL, L, SN, LCB, TB), pp. 146–156.
SANER-2016-TakahashiN #refactoring: Composite Refactoring for Decoupling Multiple Classes (YT, NN), pp. 594–598.
SCAM-2016-MingW #concurrent #control flow #named #performance #profiling #thread: BinCFP: Efficient Multi-threaded Binary Code Control Flow Profiling (JM0, DW), pp. 61–66.
CIAA-2016-Demaille #automaton: Derived-Term Automata of Multitape Rational Expressions (AD), pp. 51–63.
CIAA-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.
DLT-2016-Basten #ambiguity #automaton #detection #using: Context-Free Ambiguity Detection Using Multi-stack Pushdown Automata (HJSB), pp. 1–12.
DLT-2016-Denkinger #automaton #context-free grammar: An Automata Characterisation for Multiple Context-Free Languages (TD), pp. 138–150.
FM-2016-ChandLS #distributed #verification: Formal Verification of Multi-Paxos for Distributed Consensus (SC, YAL, SDS), pp. 119–136.
FM-2016-DellabaniCBB #bound #interactive: Local Planning of Multiparty Interactions with Bounded Horizons (MD, JC, MB, SB), pp. 199–216.
FM-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.
FM-2016-LiuJZGS #industrial #verification: Taming Interrupts for Verifying Industrial Multifunction Vehicle Bus Controllers (HL0, YJ0, HZ, MG0, JS), pp. 764–771.
FSCD-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.
AIIDE-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.
AIIDE-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-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-PLAY-2016-HarrisHS #design #game studies #symmetry: Leveraging Asymmetries in Multiplayer Games: Investigating Design Elements of Interdependent Play (JH, MSH, SDS), pp. 350–361.
CIG-2016-KurekJ: Heterogeneous team deep q-learning in low-dimensional multi-agent environments (MK, WJ), pp. 1–8.
CIG-2016-LopesLY #generative #named: Sonancia: A multi-faceted generator for horror (PLL, AL, GNY), pp. 1–2.
CIG-2016-SchmittK #algorithm #search-based #simulation: A multi-objective genetic algorithm for simulating optimal fights in StarCraft II (JS, HK), pp. 1–8.
DiGRA-FDG-2016-BergstromCJ #game studies #online #question #what: Digital Detritus: What Can We Learn From Abandoned Massively Multiplayer Online Game Avatars? (KB, SdC, JJ).
DiGRA-FDG-2016-NguyenZ #contest #game studies: Good Violence, Bad Violence: The Ethics of Competition in Multiplayer Games (CTN, JPZ).
VS-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.
VS-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.
VS-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.
CIKM-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.
CIKM-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.
CIKM-2016-BrostSCL #evaluation #online: Multi-Dueling Bandits and Their Application to Online Ranker Evaluation (BB, YS, IJC, CL), pp. 2161–2166.
CIKM-2016-ChandraHKA #adaptation #classification #framework: An Adaptive Framework for Multistream Classification (SC, AH, LK, CCA), pp. 1181–1190.
CIKM-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.
CIKM-2016-JiWZ #online #probability: A Probabilistic Multi-Touch Attribution Model for Online Advertising (WJ, XW, DZ), pp. 1373–1382.
CIKM-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.
CIKM-2016-LiLF #approach #classification: Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach (SL0, YL, YF0), pp. 989–998.
CIKM-2016-LiRM #query: Multiple Queries as Bandit Arms (CL0, PR, QM), pp. 1089–1098.
CIKM-2016-NguyenGMD #identification: Multiple Infection Sources Identification with Provable Guarantees (HTN0, PG, MLM, TND), pp. 1663–1672.
CIKM-2016-RenIAR #social #summary: Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams (ZR, OI, LA, MdR), pp. 387–396.
CIKM-2016-RossiZ #network #scalability: Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks (RAR, RZ0), pp. 1783–1792.
CIKM-2016-ShiLBX #topic: Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity (BS, WL, LB, YX), pp. 2293–2298.
CIKM-2016-SoleimaniM #classification #documentation #modelling #topic: Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling (HS, DJM0), pp. 105–114.
CIKM-2016-WangSYLFXB: Truth Discovery via Exploiting Implications from Multi-Source Data (XW0, QZS, LY, XL0, XSF, XX, BB), pp. 861–870.
CIKM-2016-WangSYLFXB16a #predict: Empowering Truth Discovery with Multi-Truth Prediction (XW0, QZS, LY, XL0, XSF, XX, BB), pp. 881–890.
CIKM-2016-WuWHHQ #adaptation #sentiment: Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge (FW, SW, YH, SH, YQ), pp. 949–958.
CIKM-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.
CIKM-2016-ZhangTL #clustering #network: Clustering Speed in Multi-lane Traffic Networks (BZ, GT, FL), pp. 2045–2048.
CIKM-2016-ZhangXLGFY #predict: Multi-source Hierarchical Prediction Consolidation (CZ, SX, YL, JG0, WF0, PSY), pp. 2251–2256.
CIKM-2016-ZhengW #graph #learning: Graph-Based Multi-Modality Learning for Clinical Decision Support (ZZ, XW0), pp. 1945–1948.
ECIR-2016-BalikasA #classification #using: Multi-label, Multi-class Classification Using Polylingual Embeddings (GB, MRA), pp. 723–728.
ECIR-2016-ChaliU #semantics #summary: Multi-document Summarization Based on Atomic Semantic Events and Their Temporal Relationships (YC, MU), pp. 366–377.
ECIR-2016-FlaesRW #analysis #sentiment #what: What Multimedia Sentiment Analysis Says About City Liveability (JBF, SR, MW), pp. 824–829.
ECIR-2016-GaluscakovaSP #named: SHAMUS: UFAL Search and Hyperlinking Multimedia System (PG, SS, PP), pp. 853–856.
ECIR-2016-HamidHT #summary: Evaluating Text Summarization Systems with a Fair Baseline from Multiple Reference Summaries (FH, DH, PT), pp. 351–365.
ECIR-2016-IencoRRRT #learning #mining #modelling: MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality (DI, MR, SR, PR, AT), pp. 869–873.
ECIR-2016-OosterhuisSR #probability: Probabilistic Multileave Gradient Descent (HO, AS, MdR), pp. 661–668.
ECIR-2016-Renders #adaptation #collaboration: Adaptive Collaborative Filtering with Extended Kalman Filters and Multi-armed Bandits (JMR), pp. 626–638.
ECIR-2016-WangGLXC #learning #predict #representation: Multi-task Representation Learning for Demographic Prediction (PW, JG, YL, JX0, XC), pp. 88–99.
ECIR-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.
ICML-2016-AroraMM #learning #optimisation #probability #representation #using: Stochastic Optimization for Multiview Representation Learning using Partial Least Squares (RA, PM, TVM), pp. 1786–1794.
ICML-2016-BauerSP: The Arrow of Time in Multivariate Time Series (SB, BS, JP), pp. 2043–2051.
ICML-2016-ChenG #problem #scalability: Scalable Discrete Sampling as a Multi-Armed Bandit Problem (YC, ZG), pp. 2492–2501.
ICML-2016-DaiB: The knockoff filter for FDR control in group-sparse and multitask regression (RD, RB), pp. 1851–1859.
ICML-2016-DegenneP #algorithm #probability: Anytime optimal algorithms in stochastic multi-armed bandits (RD, VP), pp. 1587–1595.
ICML-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.
ICML-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.
ICML-2016-HammCB #learning: Learning privately from multiparty data (JH, YC, MB), pp. 555–563.
ICML-2016-Hernandez-Lobato #optimisation #predict: Predictive Entropy Search for Multi-objective Bayesian Optimization (DHL, JMHL, AS, RPA), pp. 1492–1501.
ICML-2016-HwangTC #automation #modelling #parametricity #relational: Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series (YH, AT, JC), pp. 3030–3039.
ICML-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.
ICML-2016-JunN #using: Anytime Exploration for Multi-armed Bandits using Confidence Information (KSJ, RDN), pp. 974–982.
ICML-2016-KapralovPW #how #matrix: How to Fake Multiply by a Gaussian Matrix (MK, VKP, DPW), pp. 2101–2110.
ICML-2016-KatariyaKSW #learning #rank: DCM Bandits: Learning to Rank with Multiple Clicks (SK, BK, CS, ZW), pp. 1215–1224.
ICML-2016-LeeYH #learning #symmetry: Asymmetric Multi-task Learning based on Task Relatedness and Confidence (GL, EY, SJH), pp. 230–238.
ICML-2016-LinCR: Generalization Properties and Implicit Regularization for Multiple Passes SGM (JL, RC, LR), pp. 2340–2348.
ICML-2016-LiOW #network: Multi-Bias Non-linear Activation in Deep Neural Networks (HL, WO, XW0), pp. 221–229.
ICML-2016-LiuY #learning: Cross-Graph Learning of Multi-Relational Associations (HL, YY), pp. 2235–2243.
ICML-2016-LiWPA #classification: Conditional Bernoulli Mixtures for Multi-label Classification (CL, BW, VP, JAA), pp. 2482–2491.
ICML-2016-MartinsA #classification: From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification (AFTM, RFA), pp. 1614–1623.
ICML-2016-Metzen #optimisation: Minimum Regret Search for Single- and Multi-Task Optimization (JHM), pp. 192–200.
ICML-2016-NatarajanKRD #classification: Optimal Classification with Multivariate Losses (NN, OK, PR, ISD), pp. 1530–1538.
ICML-2016-PodosinnikovaBL #modelling: Beyond CCA: Moment Matching for Multi-View Models (AP, FRB, SLJ), pp. 458–467.
ICML-2016-RiemerVCHHK: Correcting Forecasts with Multifactor Neural Attention (MR, AV, FdPC, FFTHI, RH0, EK), pp. 3010–3019.
ICML-2016-RosenskiSS #approach: Multi-Player Bandits - a Musical Chairs Approach (JR, OS, LS), pp. 155–163.
ICML-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.
ICML-2016-YenLZRD #approach #sequence: A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery (IEHY, XL, JZ, PR, ISD), pp. 2272–2280.
ICML-2016-YuL #learning #performance: Learning from Multiway Data: Simple and Efficient Tensor Regression (RY, YL0), pp. 373–381.
ICPR-2016-AhmedK #learning #taxonomy: Coupled multiple dictionary learning based on edge sharpness for single-image super-resolution (JA, RK), pp. 3838–3843.
ICPR-2016-Alonso-Fernandez #recognition #using: Compact multi-scale periocular recognition using SAFE features (FAF, AM, JB), pp. 1455–1460.
ICPR-2016-AlvenKLLU #segmentation: Shape-aware multi-atlas segmentation (JA, FK, ML, VL, JU), pp. 1101–1106.
ICPR-2016-AncutiAVGB: Multi-scale underwater descattering (CA, COA, CDV, RG, ACB), pp. 4202–4207.
ICPR-2016-BergamascoCSAT #estimation #segmentation: Dense multi-view homography estimation and plane segmentation (FB, LC, MS, AA, AT), pp. 3739–3744.
ICPR-2016-BertoliniOS #difference #identification #using: Multi-script writer identification using dissimilarity (DB, LSO, RS), pp. 3025–3030.
ICPR-2016-BorghiVC #3d #gesture #performance #recognition: Fast gesture recognition with Multiple Stream Discrete HMMs on 3D skeletons (GB, RV, RC), pp. 997–1002.
ICPR-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.
ICPR-2016-CabreraFS #evaluation #variability: Approaching the intra-class variability in multi-script static signature evaluation (MDC, MAF, RS), pp. 1147–1152.
ICPR-2016-CarbonneauGG #identification #learning #random #using: Witness identification in multiple instance learning using random subspaces (MAC, EG, GG), pp. 3639–3644.
ICPR-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.
ICPR-2016-ChoiKPS #detection #network: Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks (HC, SK, KP, KS), pp. 621–626.
ICPR-2016-CorniaBSC #network #predict: A deep multi-level network for saliency prediction (MC, LB, GS0, RC), pp. 3488–3493.
ICPR-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.
ICPR-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.
ICPR-2016-DaoodRB #classification #recognition #using: Pollen recognition using a multi-layer hierarchical classifier (AD, ER, MB), pp. 3091–3096.
ICPR-2016-DasguptaN #classification #fine-grained: Leveraging multiple tasks to regularize fine-grained classification (RD, AMN), pp. 3476–3481.
ICPR-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.
ICPR-2016-EumD #evaluation #using: Content selection using frontalness evaluation of multiple frames (SE, DSD), pp. 3404–3409.
ICPR-2016-FanWH #adaptation #learning: Multi-stage multi-task feature learning via adaptive threshold (YF, YW, TZH), pp. 1666–1671.
ICPR-2016-FaulhammerZPV: A multi-modal RGB-D object recognizer (TF, MZ, JP, MV), pp. 733–738.
ICPR-2016-FeiWZYZ #image: Local multiple directional pattern of palmprint image (LF, JW, ZZ0, KY0, ZZ), pp. 3013–3018.
ICPR-2016-FengSZ #detection: Scene text detection based on multi-scale SWT and edge filtering (YF, YS, YZ0), pp. 645–650.
ICPR-2016-FilipovychDRB #image #recognition #sequence: Pollen recognition in optical microscopy by matching multifocal image sequences (RF, AD, ER, MB), pp. 2127–2132.
ICPR-2016-FioriMF #classification #design: An optimal multiclass classifier design (MF, MDM, AF), pp. 480–485.
ICPR-2016-GligorijevicPZ #community #detection #graph: Fusion and community detection in multi-layer graphs (VG, YP, SZ), pp. 1327–1332.
ICPR-2016-GuoCL #learning: Multi-label learning with globAl densiTy fusiOn Mapping features (YG, FC, GL0), pp. 462–467.
ICPR-2016-IshiiSIMSIN #classification #detection: Detection by classification of buildings in multispectral satellite imagery (TI, ESS, SI, YM, AS, HI0, RN), pp. 3344–3349.
ICPR-2016-JiaoZ #learning #taxonomy #using: Multiple Instance Dictionary Learning using Functions of Multiple Instances (CJ, AZ), pp. 2688–2693.
ICPR-2016-JordaoSS #approach #detection: A late fusion approach to combine multiple pedestrian detectors (AJ, JSdS, WRS), pp. 4250–4255.
ICPR-2016-KanehiraSH #learning #scalability: True-negative label selection for large-scale multi-label learning (AK, AS, TH), pp. 3673–3678.
ICPR-2016-KaremF #concept #learning: Multiple Instance Learning with multiple positive and negative target concepts (AK, HF), pp. 474–479.
ICPR-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.
ICPR-2016-KimuraKSK #classification #performance #random #scalability: Fast random k-labELsets for large-scale multi-label classification (KK, MK, LS, SK), pp. 438–443.
ICPR-2016-KobayashiO #component #image: Separating reflection components in images under multispectral and multidirectional light sources (NK, TO), pp. 3210–3215.
ICPR-2016-KohjimaMS #matrix: Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences (MK, TM, HS), pp. 2515–2520.
ICPR-2016-KudoKHT #visualisation: Simultaneous visualization of samples, features and multi-labels (MK, KK, MH, HT), pp. 3603–3608.
ICPR-2016-LanglardSLCD #recognition: A multiscale method for shape recognition of overlapping elliptical particles (MDL, HAS, FL, SC, JD), pp. 692–697.
ICPR-2016-Li0RNVAL #predict: Multiple adverse effects prediction in longitudinal cancer treatment (CL0, SG0, SR, VN0, SV, DA, TL), pp. 3156–3161.
ICPR-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.
ICPR-2016-LiaoQL #image #learning: Semisupervised manifold learning for color transfer between multiview images (DL, YQ, ZNL), pp. 259–264.
ICPR-2016-LimK #approach #feature model #optimisation: Convex optimization approach for multi-label feature selection based on mutual information (HL, DWK), pp. 1512–1517.
ICPR-2016-LittwinW #complexity #network: Complexity of multiverse networks and their multilayer generalization (EL, LW), pp. 372–377.
ICPR-2016-Liu16a #classification #learning #network #scalability: Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPR-2016-LiuNZWL #automation #clustering: Unsupervised automatic attribute discovery method via multi-graph clustering (LL, FN, TZ, AW, BCL), pp. 1713–1718.
ICPR-2016-LuoGPWY #locality #mobile #using: Accurate localization for mobile device using a multi-planar city model (YL, TG, HP, YW, JY), pp. 3733–3738.
ICPR-2016-LyuSZB #image #network: Distinguishing text/non-text natural images with Multi-Dimensional Recurrent Neural Networks (PL, BS, CZ, XB), pp. 3981–3986.
ICPR-2016-MaddalenaP #image: Extracting a background image by a multi-modal scene background model (LM0, AP), pp. 143–148.
ICPR-2016-NguyenNVP #clustering #named #parametricity #semistructured data: MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data (TBN, VN0, SV, DQP), pp. 3633–3638.
ICPR-2016-Norov-ErdeneKSK #classification #locality #problem: Locality in multi-label classification problems (BNE, MK, LS, KK), pp. 2319–2324.
ICPR-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.
ICPR-2016-Ohn-BarT #detection #locality #modelling: Detection and localization with multi-scale models (EOB, MMT), pp. 1382–1387.
ICPR-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.
ICPR-2016-OrtegoSM #dataset #estimation #re-engineering: Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset (DO, JCS, JMM0), pp. 114–119.
ICPR-2016-PalCGCC #learning #using: Severity grading of psoriatic plaques using deep CNN based multi-task learning (AP, AC, UG, AC, RC), pp. 1478–1483.
ICPR-2016-PandaDR #network #summary #video: Video summarization in a multi-view camera network (RP, AD, AKRC), pp. 2971–2976.
ICPR-2016-PangN #3d #detection #network: 3D point cloud object detection with multi-view convolutional neural network (GP, UN), pp. 585–590.
ICPR-2016-PeiYKY #detection: Multi-orientation scene text detection with multi-information fusion (WYP, CY, LJK, XCY), pp. 657–662.
ICPR-2016-PironkovDD #automation #learning #recognition #speech: Speaker-aware Multi-Task Learning for automatic speech recognition (GP, SD, TD), pp. 2900–2905.
ICPR-2016-PistellatoABT #robust: Robust joint selection of camera orientations and feature projections over multiple views (MP, AA, FB, AT), pp. 3703–3708.
ICPR-2016-PuZZ #network: Structure and appearance preserving network flow for multi-object tracking (SP, HZ, KZ), pp. 1804–1808.
ICPR-2016-PuZZDY #approximate #clustering #matrix #robust: Multiview clustering based on Robust and Regularized Matrix Approximation (JP, QZ0, LZ, BD, JY), pp. 2550–2555.
ICPR-2016-RaiNCD #clustering #graph #using: Partial Multi-View Clustering using Graph Regularized NMF (NR, SN, SC, OD), pp. 2192–2197.
ICPR-2016-RakicevicRPP #estimation #random: Multi-modal Neural Conditional Ordinal Random Fields for agreement level estimation (NR, OR, SP, MP), pp. 2228–2233.
ICPR-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.
ICPR-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.
ICPR-2016-SalaunMM16a #detection #robust: Multiscale line segment detector for robust and accurate SfM (YS, RM, PM), pp. 2000–2005.
ICPR-2016-ShkvarkoLAG #data fusion: Intelligent neural computing-based way for multi-sensor imaging radar data fusion (YVS, JALR, SRSA, GGT), pp. 757–762.
ICPR-2016-SiddiquiBDAVSR #anti: Face anti-spoofing with multifeature videolet aggregation (TAS, SB, TID, AA0, MV, RS0, NKR), pp. 1035–1040.
ICPR-2016-SidibeRM #detection #on the #using: On spatio-temporal saliency detection in videos using multilinear PCA (DS, MR, FM), pp. 1876–1880.
ICPR-2016-SorelB #performance: Efficient JPEG decompression by the alternating direction method of multipliers (MS, MB), pp. 271–276.
ICPR-2016-SubramanianR0SV #parametricity: Bayesian nonparametric Multiple Instance Regression (SS, SR, SG0, PBS, CSV, SV), pp. 3661–3666.
ICPR-2016-SunHLK #learning #network #recognition: Multiple Instance Learning Convolutional Neural Networks for object recognition (MS, TXH, MCL, AKR), pp. 3270–3275.
ICPR-2016-SunKK #classification: Multi-label classification with meta-label-specific features (LS, MK, KK), pp. 1612–1617.
ICPR-2016-SuzuuchiK #analysis #behaviour: Location-associated indoor behavior analysis of multiple persons (SS, MK), pp. 2079–2084.
ICPR-2016-TakahashiIKOM #robust #using: Robust volleyball tracking system using multi-view cameras (MT, KI, MK, HO, TM), pp. 2740–2745.
ICPR-2016-TripathyCNP #invariant #recognition: A scale and rotation invariant scheme for multi-oriented Character Recognition (NT, TC, MN, UP0), pp. 4041–4046.
ICPR-2016-WangLHX #clustering #image #representation: Manifold Regularized Multi-view Subspace Clustering for image representation (LW0, DL, TH, ZX), pp. 283–288.
ICPR-2016-WuWJ #learning #recognition: Multiple Facial Action Unit recognition by learning joint features and label relations (SW, SW, QJ), pp. 2246–2251.
ICPR-2016-XueB #learning: Multi-task learning for one-class SVM with additional new features (YX, PB), pp. 1571–1576.
ICPR-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.
ICPR-2016-XuSARS #learning #recognition #retrieval #taxonomy: Multi-Paced Dictionary Learning for cross-domain retrieval and recognition (DX0, JS, XAP, ER0, NS), pp. 3228–3233.
ICPR-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.
ICPR-2016-YangN #detection #network: A multi-scale cascade fully convolutional network face detector (ZY, RN), pp. 633–638.
ICPR-2016-YangWWJ #recognition: Multiple facial action unit recognition enhanced by facial expressions (JY, SW, SW, QJ), pp. 4089–4094.
ICPR-2016-YaoXG #image #rank: A rank minimization-based late fusion method for multi-label image annotation (YY0, XX0, PG0), pp. 847–852.
ICPR-2016-YeLYZ #clustering #kernel: Co-regularized kernel k-means for multi-view clustering (YY, XL, JY, EZ), pp. 1583–1588.
ICPR-2016-YodaNTKYK #image #using: Dynamic photometric stereo method using multi-tap CMOS image sensor (TY, HN, RiT, KK, KY, SK), pp. 2356–2361.
ICPR-2016-YorukOA #estimation #performance #recognition: An efficient Hough transform for multi-instance object recognition and pose estimation (EY, KTO, CBA), pp. 1352–1357.
ICPR-2016-YuLC #using: Recognizing text in historical maps using maps from multiple time periods (RY, ZL, YYC), pp. 3993–3998.
ICPR-2016-ZhaoZWJ #learning: Multilingual articulatory features augmentation learning (YZ, RZ, XW0, QJ), pp. 2895–2899.
ICPR-2016-ZhengLZW #image #using: Multi-focus image fusion using quaternion wavelet transform (XNZ, XL, ZZ, XJW), pp. 883–888.
KDD-2016-BertensVS #sequence: Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns (RB, JV, AS), pp. 735–744.
KDD-2016-ChenTXYH #dependence #named #network #performance: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks (CC0, HT, LX, LY, QH), pp. 765–774.
KDD-2016-ChoiBSCTBTS #concept #learning #representation: Multi-layer Representation Learning for Medical Concepts (EC, MTB, ES, CC, MT, JB, JTS, JS), pp. 1495–1504.
KDD-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.
KDD-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.
KDD-2016-JainPV #ranking #recommendation: Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications (HJ, YP, MV), pp. 935–944.
KDD-2016-JiangFH #behaviour #named #representation: CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors (MJ0, CF, JH0), pp. 945–954.
KDD-2016-LinXBJZ #feature model #interactive #learning: Multi-Task Feature Interaction Learning (KL, JX, IMB, SJ, JZ), pp. 1735–1744.
KDD-2016-LiuSCX #optimisation: Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization (JL, LS, WC0, HX), pp. 1005–1014.
KDD-2016-LiWYR #analysis #learning: A Multi-Task Learning Formulation for Survival Analysis (YL, JW0, JY, CKR), pp. 1715–1724.
KDD-2016-NieGY #predict: Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression (ZN, PG, JY), pp. 1795–1804.
KDD-2016-NingMRR #learning #modelling: Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning (YN, SM, HR, NR), pp. 1095–1104.
KDD-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.
KDD-2016-TangLCA #empirical #feedback #recommendation: An Empirical Study on Recommendation with Multiple Types of Feedback (LT, BL, BCC, DA), pp. 283–292.
KDD-2016-WebbP #statistics #testing: A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests (GIW, FP), pp. 1255–1264.
KDD-2016-XuT0 #learning #robust: Robust Extreme Multi-label Learning (CX0, DT, CX0), pp. 1275–1284.
KDD-2016-ZengWML #online #recommendation: Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit (CZ, QW, SM, TL0), pp. 2025–2034.
KDD-2016-ZhangWZWLSJ #collaboration: Collaborative Multi-View Denoising (LZ, SW, XZ0, YW, BL, DS, SJ), pp. 2045–2054.
KDD-2016-ZhaoLWGC #perspective: Portfolio Selections in P2P Lending: A Multi-Objective Perspective (HZ, QL0, GW, YG, EC), pp. 2075–2084.
KDD-2016-ZhaoYCLR #learning: Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting (LZ0, JY, FC0, CTL, NR), pp. 2085–2094.
BX-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.
ECMFA-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.
ECMFA-2016-KonigD #consistency: Advanced Local Checking of Global Consistency in Heterogeneous Multimodeling (HK, ZD), pp. 19–35.
ICMT-2016-TrollmannA #graph grammar #modelling: Extending Model Synchronization Results from Triple Graph Grammars to Multiple Models (FT, SA), pp. 91–106.
MoDELS-2016-ChabotPN #design #testing: A requirement driven testing method for multi-disciplinary system design (MC, LP, ANM), pp. 396–405.
MoDELS-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.
MoDELS-2016-PrehoferWJ #approach #interactive #modelling: A model-based approach for multi-device user interactions (CP, AW, YJ), pp. 13–23.
MoDELS-2016-SomogyiSG #formal method #simulation: Formalizing knowledge in multi-scale agent-based simulations (ETS, JPS, JAG), pp. 115–122.
MoDELS-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.
PLDI-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.
POPL-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.
ASE-2016-AbdessalemNBS #network #testing #using: Testing advanced driver assistance systems using multi-objective search and neural networks (RBA, SN, LCB, TS), pp. 63–74.
ASE-2016-AlmhanaMK0 #debugging #recommendation #using: Recommending relevant classes for bug reports using multi-objective search (RA, WM, MK, AO), pp. 286–295.
ASE-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.
ASE-2016-DemuthRE #consistency #detection #developer #nondeterminism #performance: Efficient detection of inconsistencies in a multi-developer engineering environment (AD, MRE, AE), pp. 590–601.
ASE-2016-FengJCF #comprehension #image #using: Multi-objective test report prioritization using image understanding (YF, JAJ, ZC, CF), pp. 202–213.
ASE-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.
FSE-2016-KangMJ #analysis #security: Multi-representational security analysis (EK, AM, DJ0), pp. 181–192.
FSE-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.
ASPLOS-2016-HajjMZMAFHRS #named #programming: SpaceJMP: Programming with Multiple Virtual Address Spaces (IEH, AM, GZ, DSM, RA, PF, WmWH, TR, KS), pp. 353–368.
CASE-2016-AboutalebBST #optimisation: Systematic optimization of Laser-based Additive Manufacturing for multiple mechanical properties (AMA, LB, NS, SMT), pp. 780–785.
CASE-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.
CASE-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.
CASE-2016-LiuT #distributed #hybrid #network #using: Distributed vision network for multiple target tracking using a dynamic hybrid consensus filter (GL, GT), pp. 805–808.
CASE-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.
CASE-2016-Perez-ImazRMC #3d: Multi-robot 3D coverage path planning for First Responders teams (HIAPI, PAFR, DGM, MFMC), pp. 1374–1379.
CASE-2016-QuenzelPB #robust: Robust extrinsic calibration of multiple stationary laser range finders (JQ, NP, SB), pp. 1332–1339.
CASE-2016-RahmanBR #algorithm: Sampling-based planning algorithms for multi-objective missions (MMR, LB, BR), pp. 709–714.
CASE-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.
CASE-2016-SchererR #communication #constraints #energy #persistent: Persistent multi-UAV surveillance with energy and communication constraints (JS, BR), pp. 1225–1230.
CASE-2016-TohidiH #adaptation #predict #process #self: Self-Tuning Adaptive Multiple Model Predictive Control with application to pH Control process (AT, HH), pp. 1219–1224.
CASE-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.
CASE-2016-YangWQZ #analysis #clustering #hybrid #scheduling #tool support: Optimal scheduling analysis of treelike hybrid multi-cluster tools (FY, NW, YQ, MZ), pp. 1400–1404.
CASE-2016-YuYS: Time-optimal simultaneous motion planning and manipulation of multiple nanowires under electric-fields in fluid suspension (KY, JY, JWS), pp. 954–959.
CASE-2016-ZhangSZ #modelling #statistics: Inferring building occupancy based on statistical modeling of multi-sensor data (BZ, YS, LZ), pp. 809–814.
CASE-2016-ZhangXHC #optimisation: A new optimal sampling rule for multi-fidelity optimization via ordinal transformation (SZ, JX, EH, CHC), pp. 670–674.
CC-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.
CGO-2016-NguyenL #graph #platform: Communication-aware mapping of stream graphs for multi-GPU platforms (DN0, JL), pp. 94–104.
CAV-2016-AlurMT #composition #synthesis: Compositional Synthesis of Reactive Controllers for Multi-agent Systems (RA, SM, UT), pp. 251–269.
CSL-2016-BaeldeDS #proving: Infinitary Proof Theory: the Multiplicative Additive Case (DB, AD, AS), p. 17.
CSL-2016-Carvalho #exponential #injection #linear #logic #relational: The Relational Model Is Injective for Multiplicative Exponential Linear Logic (DdC), p. 19.
ICST-2016-Kowalczyk #behaviour #modelling: Modeling App Behavior from Multiple Artifacts (EK), pp. 385–386.
ICST-2016-Segall #combinator #design #testing: Repeated Combinatorial Test Design - Unleashing the Potential in Multiple Testing Iterations (IS), pp. 12–21.
ICTSS-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.
IJCAR-2016-AminofR #composition #model checking: Model Checking Parameterised Multi-token Systems via the Composition Method (BA, SR), pp. 499–515.
VMCAI-2016-ChakiK #concurrent #model checking #thread: Model Checking with Multi-threaded IC3 Portfolios (SC, DK), pp. 517–535.
VMCAI-2016-MarechalFKMP #approximate #theorem #using: Polyhedral Approximation of Multivariate Polynomials Using Handelman's Theorem (AM, AF, TK0, DM, MP), pp. 166–184.
QoSA-2015-Bozhinoski #adaptation #mobile #safety: Managing Safety and Adaptability in Mobile Multi-Robot Systems (DB), pp. 135–140.
QoSA-2015-Kramer #approach #consistency #generative #modelling: A Generative Approach to Change-Driven Consistency in Multi-View Modeling (MEK), pp. 129–134.
DocEng-2015-BoschenS: Multi-oriented Text Extraction from Information Graphics (FB, AS), pp. 35–38.
DocEng-2015-HollausDFKS: Investigation of Ancient Manuscripts based on Multispectral Imaging (FH, MD, SF, FK, RS), pp. 93–96.
DocEng-2015-JansenFC #distributed #documentation: Multimedia Document Structure for Distributed Theatre (JJ, MF, PC), pp. 199–202.
DocEng-2015-SantosBMRL #documentation #validation: Spatio-temporal Validation of Multimedia Documents (JAFdS, CB, DCMS, CR, NL), pp. 133–142.
DocEng-2015-SarkisCD #approach #named #segmentation #web: MSoS: A Multi-Screen-Oriented Web Page Segmentation Approach (MS, CC, JCD), pp. 85–88.
DocEng-2015-WalgerH: Hiding Information in Multiple Level-line Moirés (TW, RDH), pp. 21–24.
DRR-2015-FuLLQT #diagrams #learning #retrieval: A diagram retrieval method with multi-label learning (SF, XL, LL, JQ, ZT).
DRR-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).
JCDL-2015-DuanOSK #crowdsourcing #estimation: Multi-Emotion Estimation in Narratives from Crowdsourced Annotations (LD, SO, HS, MK), pp. 91–100.
JCDL-2015-JayarathnaPS #feedback #modelling: Unified Relevance Feedback for Multi-Application User Interest Modeling (SJ, AP, FS), pp. 129–138.
JCDL-2015-NielsenG #analysis #interactive #library #named #transaction #visual notation: PivotViz: Interactive Visual Analysis of Multidimensional Library Transaction Data (MN, KG), pp. 139–142.
JCDL-2015-OrganisciakD #consistency #crowdsourcing #evaluation #similarity: Improving Consistency of Crowdsourced Multimedia Similarity for Evaluation (PO, JSD), pp. 115–118.
PODS-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.
PODS-2015-Ullman #linear #query: Private Multiplicative Weights Beyond Linear Queries (JU), pp. 303–312.
SIGMOD-2015-0001MK #concurrent #database #in memory #performance: Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems (TN, TM, AK), pp. 677–689.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2015-HeimelKM #estimation #kernel #modelling #self: Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation (MH, MK, VM), pp. 1477–1492.
SIGMOD-2015-LiHDL #performance #similarity: Efficient Similarity Join and Search on Multi-Attribute Data (GL, JH, DD, JL), pp. 1137–1151.
SIGMOD-2015-TrummerK #algorithm #incremental #optimisation #query: An Incremental Anytime Algorithm for Multi-Objective Query Optimization (IT, CK), pp. 1941–1953.
TPDL-2015-BackhausenKH #adaptation #information retrieval: Adaptive Information Retrieval Support for Multi-session Information Tasks (DTJB, CPK, MH), pp. 317–320.
VLDB-2015-FaleiroA #concurrent: Rethinking serializable multiversion concurrency control (JMF, DJA), pp. 1190–1201.
VLDB-2015-KalininCZ #named #scalability: Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, UÇ, SBZ), pp. 1094–1105.
VLDB-2015-LevandoskiLSS0 #concurrent: Multi-Version Range Concurrency Control in Deuteronomy (JJL, DBL, SS, RS, RW), pp. 2146–2157.
VLDB-2015-WandeltL #named #string: MRCSI: Compressing and Searching String Collections with Multiple References (SW, UL), pp. 461–472.
EDM-2015-ClementROL: Multi-Armed Bandits for Intelligent Tutoring Systems (BC, DR, PYO, ML0), p. 21.
EDM-2015-HuangG0B #evaluation #framework #modelling #student: A Framework for Multifaceted Evaluation of Student Models (YH0, JPGB, RK0, PB), pp. 203–210.
EDM-2015-PaquetteOB #simulation: Simulating Multi-Subject Momentary Time Sampling (LP, JO, RSB), pp. 586–587.
EDM-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.
EDM-2015-YeKSB #behaviour #learning #process #sequence: Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences (CY, JSK, JRS, GB), pp. 380–383.
ITiCSE-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.
ITiCSE-2015-Silvis-Cividjian #approach #education #pervasive: Teaching Pervasive Computing to CS Freshmen: A Multidisciplinary Approach (NSC), pp. 195–200.
SIGITE-2015-SobieskBCLT #approach #education: Cyber Education: A Multi-Level, Multi-Discipline Approach (ES, JRSB, GJC, ML, HT), pp. 43–47.
SANER-2015-SaeidiHKJ #approach #clustering #search-based: A search-based approach to multi-view clustering of software systems (AS, JH, RK, SJ), pp. 429–438.
SANER-2015-SaiedBAS #api #mining: Mining Multi-level API Usage Patterns (MAS, OB, HA, HAS), pp. 23–32.
SCAM-2015-PintoKT #analysis #automation #performance: Automating the performance deviation analysis for multiple system releases: An evolutionary study (FP, UK, CT), pp. 201–210.
SCAM-2015-SayaghA #empirical: Multi-layer software configuration: Empirical study on wordpress (MS, BA), pp. 31–40.
CIAA-2015-Prusa #context-free grammar #decidability #problem: (Un)decidability of the Emptiness Problem for Multi-dimensional Context-Free Grammars (DP), pp. 250–262.
DLT-2015-JeckerF #word: Multi-sequential Word Relations (IJ, EF), pp. 288–299.
ICALP-v1-2015-CohenH #pseudo: Multilinear Pseudorandom Functions (AC, JH), pp. 331–342.
ICALP-v1-2015-GargMVY #nash #symmetry: ETR-Completeness for Decision Versions of Multi-player (Symmetric) Nash Equilibria (JG, RM, VVV, SY), pp. 554–566.
ICALP-v1-2015-Yu #algorithm #combinator #matrix: An Improved Combinatorial Algorithm for Boolean Matrix Multiplication (HY), pp. 1094–1105.
LATA-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.
SFM-2015-CoppoDPY: A Gentle Introduction to Multiparty Asynchronous Session Types (MC, MDC, LP, NY), pp. 146–178.
TLCA-2015-HofmannM #analysis #term rewriting: Multivariate Amortised Resource Analysis for Term Rewrite Systems (MH, GM), pp. 241–256.
TLCA-2015-Scherer: Multi-Focusing on Extensional Rewriting with Sums (GS), pp. 317–331.
ICFP-2015-BahrBE #contract: Certified symbolic management of financial multi-party contracts (PB, JB, ME), pp. 315–327.
AIIDE-2015-CachiaLY #evolution: Multi-Level Evolution of Shooter Levels (WC, AL, GNY), pp. 115–121.
AIIDE-2015-NormoyleJ #clustering #game studies: Bayesian Clustering of Player Styles for Multiplayer Games (AN, STJ), pp. 163–169.
CHI-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-PLAY-2015-DiazDHS #online #reasoning: Scientific Heroes: Multiplayer Online Battle Arenas Foster Players' Hypothetico-Deductive Reasoning (CMCD, BD, HH, JWS), pp. 481–485.
CHI-PLAY-2015-LeeHB #game studies #named: Racetime: Telepresence Racing Game with Multi-user Participation (BL, YH, HB), pp. 601–606.
CHI-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.
CIG-2015-EisenstadtMA #co-evolution #game studies: Co-evolution of strategies for multi-objective games under postponed objective preferences (EE, AM, GA), pp. 461–468.
CIG-2015-QuadfliegRP #how #optimisation #parametricity: How costly is a good compromise: Multi-objective TORCS controller parameter optimization (JQ, GR, MP), pp. 454–460.
CIG-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.
CIG-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.
FDG-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).
FDG-2015-ReuterGS #automation #detection #game studies #petri net #using: Detecting structural deadlocks in Multiplayer Games using automatically generated Petri Nets (CR0, SG0, RS).
VS-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.
VS-Games-2015-KruijffMTSH #game studies: Enhancing User Engagement in Immersive Games through Multisensory Cues (EK, AM, CT, JS, AH), pp. 1–8.
VS-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.
ICGT-2015-LeblebiciAS #graph grammar #tool support: Tool Support for Multi-amalgamated Triple Graph Grammars (EL, AA, AS), pp. 257–265.
ICGT-2015-LeblebiciAST #graph grammar: Multi-amalgamated Triple Graph Grammars (EL, AA, AS, GT), pp. 87–103.
CHI-2015-0002FTO: Investigating the Dexterity of Multi-Finger Input for Mid-Air Text Entry (SS, AMF, CT, AO), pp. 3643–3652.
CHI-2015-Al-AmeenWS #random #towards: Towards Making Random Passwords Memorable: Leveraging Users’ Cognitive Ability Through Multiple Cues (MNAA, MKW, SS), pp. 2315–2324.
CHI-2015-CaoLLT #graph #interactive #mining #named #visual notation: g-Miner: Interactive Visual Group Mining on Multivariate Graphs (NC, YRL, LL, HT), pp. 279–288.
CHI-2015-FleckCR #bound #using: Balancing Boundaries: Using Multiple Devices to Manage Work-Life Balance (RF, ALC, RAVR), pp. 3985–3988.
CHI-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.
CHI-2015-GrubertHQS #interactive #named: MultiFi: Multi Fidelity Interaction with Displays On and Around the Body (JG, MH, AJQ, DS), pp. 3933–3942.
CHI-2015-JokelaOO #process: A Diary Study on Combining Multiple Information Devices in Everyday Activities and Tasks (TJ, JO, TO), pp. 3903–3912.
CHI-2015-KimGMM #interactive #named: RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos (JK, ELG, AMH, MRM), pp. 1535–1544.
CHI-2015-LottridgeROWBMN: The Effects of Chronic Multitasking on Analytical Writing (DML, CR, CSO, SJW, KAB, ASM, CIN), pp. 2967–2970.
CHI-2015-ManciniHAG #detection #interface: Re-Centering Multispecies Practices: A Canine Interface for Cancer Detection Dogs (CM, RH, BA, CG), pp. 2673–2682.
CHI-2015-NebelingGSN #named: MUBox: Multi-User Aware Personal Cloud Storage (MN, MG, OS, MCN), pp. 1855–1864.
CHI-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.
CHI-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.
CHI-2015-SteichenF #comparison #interface: Supporting the Modern Polyglot: A Comparison of Multilingual Search Interfaces (BS, LF), pp. 3483–3492.
CHI-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.
CHI-2015-TubbD #design #evaluation: An Evaluation of Multidimensional Controllers for Sound Design Tasks (RT, SD), pp. 47–56.
CHI-2015-TurnerABG: Gaze+RST: Integrating Gaze and Multitouch for Remote Rotate-Scale-Translate Tasks (JT, JA, AB, HG), pp. 4179–4188.
CSCW-2015-FreitasD15a #detection #using: Using Multiple Contexts to Detect and Form Opportunistic Groups (AAdF, AKD), pp. 1612–1621.
CSCW-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.
CSCW-2015-KobayashiAIST: Motivating Multi-Generational Crowd Workers in Social-Purpose Work (MK, SA, TI, SS, HT), pp. 1813–1824.
CSCW-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.
CSCW-2015-MaddockSASOM #behaviour #online #using: Characterizing Online Rumoring Behavior Using Multi-Dimensional Signatures (JM, KS, HJAH, DES, MO, RMM), pp. 228–241.
CSCW-2015-MarkICJ: Focused, Aroused, but so Distractible: Temporal Perspectives on Multitasking and Communications (GM, STI, MC, PJ), pp. 903–916.
DUXU-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.
DUXU-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.
DUXU-UI-2015-Search #data transformation #interactive #representation: Interactive Multisensory Data Representation (PS), pp. 363–373.
HCI-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.
HCI-IT-2015-OrtegaBROAA #named: GyroTouch: Wrist Gyroscope with a Multi-Touch Display (FRO, AB, NR, NOL, MA, FA), pp. 262–270.
HCI-IT-2015-Yigitbas0E #adaptation #framework #modelling #user interface: A Model-Based Framework for Multi-Adaptive Migratory User Interfaces (EY, SS, GE), pp. 563–572.
HCI-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.
HCI-UC-2015-Hankiewicz #interface: Compatibility of Information and Interface of Universities’ Multilingual Websites (KH), pp. 73–81.
HCI-UC-2015-KaratasYSO #named: NAMIDA: Multiparty Conversation Based Driving Agents in Futuristic Vehicle (NK, SY, PRSDS, MO), pp. 198–207.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-IKD-2015-BelyiPRM: A Multi-agent Based System for Route Planning (EB, IP, AR, VM), pp. 500–512.
HIMI-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.
HIMI-IKD-2015-GregoryD #human-computer #information management: Multisensory Information Processing for Enhanced Human-Machine Symbiosis (FDG, LD), pp. 354–365.
HIMI-IKD-2015-JungLB #platform #question: Voice Control System and Multiplatform Use: Specialist Vs. Generalist? (SJ, KML, FB), pp. 607–616.
HIMI-IKD-2015-YamashitaS #graph: Edge Bundling in Multi-attributed Graphs (TY, RS), pp. 138–147.
LCT-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.
LCT-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.
LCT-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.
LCT-2015-VielRTP #design #interactive #learning: Design Solutions for Interactive Multi-video Multimedia Learning Objects (CCV, KRHR, CACT, MdGCP), pp. 160–171.
SCSM-2015-PervinPDTT #hashtag #twitter: Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags (NP, TQP, AD, HT, FT), pp. 169–182.
SCSM-2015-PriceMMGBA #named: Inter-Social-Networking: Accounting for Multiple Identities (DP, DM, RM, CG, MAB, SA), pp. 242–252.
ICEIS-v1-2015-AlmeidaHC #question #what: What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEIS-v1-2015-BurtiniLL #online: Improving Online Marketing Experiments with Drifting Multi-armed Bandits (GB, JL, RL), pp. 630–636.
ICEIS-v1-2015-ChevalierMKTT #implementation: Implementing Multidimensional Data Warehouses into NoSQL (MC, MEM, AK, OT, RT), pp. 172–183.
ICEIS-v1-2015-MorriHS #modelling: Multi-agent Modelling for a Regulation Support System of Public Transport (NM, SEH, LBS), pp. 624–629.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2015-Avila-SantosHKB: Building Coalitions of Competitors in the Negotiation of Multiparty e-Contracts through Consultations (APAS, JH, DSK, EB), pp. 618–625.
ICEIS-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.
ICEIS-v2-2015-KhlifKKD #approach #architecture #uml: A UML-based Approach for Multi-scale Software Architectures (IK, MHK, AHK, KD), pp. 374–381.
ICEIS-v2-2015-VitolsBSSAS: Multi-payment Solution for Smartlet Applications (GV, NB, JS, VS, IA, IS), pp. 668–673.
CIKM-2015-AiWSYZC #classification: Best First Over-Sampling for Multilabel Classification (XA, JW0, VSS, YY, PZ, ZC), pp. 1803–1806.
CIKM-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.
CIKM-2015-JinLZHH #distributed #learning #online: Collaborating between Local and Global Learning for Distributed Online Multiple Tasks (XJ0, PL0, FZ, JH, QH), pp. 113–122.
CIKM-2015-JinZPDLH #classification #learning #semantics: Heterogeneous Multi-task Semantic Feature Learning for Classification (XJ0, FZ, SJP, CD, PL0, QH), pp. 1847–1850.
CIKM-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.
CIKM-2015-KleisarchakiACC #query: Querying Temporal Drifts at Multiple Granularities (SK, SAY, ADC, VC), pp. 1531–1540.
CIKM-2015-LeeACS #framework #optimisation: An Optimization Framework for Merging Multiple Result Lists (CJL, QA, WBC, DS), pp. 303–312.
CIKM-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.
CIKM-2015-LiP #named #network #privacy: ReverseCloak: Protecting Multi-level Location Privacy over Road Networks (CL0, BP), pp. 673–682.
CIKM-2015-LiuTL #learning #matrix #named #scalability: MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning (LL, PNT, XL), pp. 881–890.
CIKM-2015-LiuWW #collaboration #interactive #predict #representation: Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation (QL0, SW, LW0), pp. 613–622.
CIKM-2015-ManSHC #adaptation #matrix #recommendation: Context-Adaptive Matrix Factorization for Multi-Context Recommendation (TM, HS, JH, XC), pp. 901–910.
CIKM-2015-MishraH #clustering #learning #using: Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning (MM, JH), pp. 1091–1100.
CIKM-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.
CIKM-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.
CIKM-2015-WangG #metric #performance #tuple: Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures (JJYW, XG0), pp. 1915–1918.
CIKM-2015-WangSFYXL #approach #effectiveness: An Integrated Bayesian Approach for Effective Multi-Truth Discovery (XW0, QZS, XSF, LY, XX, XL0), pp. 493–502.
CIKM-2015-WangYHWT #clustering #rank #representation: Multi-view Clustering via Structured Low-rank Representation (DW, QY, RH, LW0, TT), pp. 1911–1914.
CIKM-2015-YeL #constraints #logic #markov #network: Structural Constraints for Multipartite Entity Resolution with Markov Logic Network (TY, HWL), pp. 1691–1694.
CIKM-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.
CIKM-2015-YinWW #clustering #learning: Incomplete Multi-view Clustering via Subspace Learning (QY, SW, LW0), pp. 383–392.
ECIR-2015-BuitinckATR #detection: Multi-emotion Detection in User-Generated Reviews (LB, JvA, ET, MdR), pp. 43–48.
ECIR-2015-KimVBR #clustering: Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering (YMK, JV, SB, MAR), pp. 593–604.
ECIR-2015-MogadalaR #correlation #retrieval: Multi-modal Correlated Centroid Space for Multi-lingual Cross-Modal Retrieval (AM, AR), pp. 68–79.
ECIR-2015-RomeoIT #classification #documentation #knowledge-based #representation: Knowledge-Based Representation for Transductive Multilingual Document Classification (SR, DI, AT), pp. 92–103.
ECIR-2015-TsaiKH #approximate #distance #probability: Approximating Weighted Hamming Distance by Probabilistic Selection for Multiple Hash Tables (CYT, YHK, WHH), pp. 123–134.
ICML-2015-AmidU #learning: Multiview Triplet Embedding: Learning Attributes in Multiple Maps (EA, AU), pp. 1472–1480.
ICML-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.
ICML-2015-CilibertoMPR #learning: Convex Learning of Multiple Tasks and their Structure (CC, YM, TAP, LR), pp. 1548–1557.
ICML-2015-GalCG #category theory #estimation #process: Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data (YG, YC, ZG), pp. 645–654.
ICML-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.
ICML-2015-HanXA #consistency #estimation #modelling: Consistent estimation of dynamic and multi-layer block models (QH, KSX, EA), pp. 1511–1520.
ICML-2015-Hernandez-Lobato #feature model #probability: A Probabilistic Model for Dirty Multi-task Feature Selection (DHL, JMHL, ZG), pp. 1073–1082.
ICML-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.
ICML-2015-LianHRLC #predict #process: A Multitask Point Process Predictive Model (WL, RH, VR, JEL, LC), pp. 2030–2038.
ICML-2015-MaeharaYK #game studies #perspective #problem: Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View (TM, AY, KiK), pp. 428–437.
ICML-2015-NarasimhanRS0 #algorithm #consistency #metric #performance: Consistent Multiclass Algorithms for Complex Performance Measures (HN, HGR, AS, SA), pp. 2398–2407.
ICML-2015-PhamRFA #learning #novel: Multi-instance multi-label learning in the presence of novel class instances (ATP, RR, XZF, JPA), pp. 2427–2435.
ICML-2015-RajanHSFJ #locality: Bayesian Multiple Target Localization (PR, WH, RS, PIF, BJ), pp. 1945–1953.
ICML-2015-SunLXB #clustering: Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization (JS, JL, TX, JB), pp. 757–766.
ICML-2015-SzorenyiBWH #approach: Qualitative Multi-Armed Bandits: A Quantile-Based Approach (BS, RBF, PW, EH), pp. 1660–1668.
ICML-2015-WangALB #learning #on the #representation: On Deep Multi-View Representation Learning (WW, RA, KL, JAB), pp. 1083–1092.
ICML-2015-WangWLCW #learning #segmentation: Multi-Task Learning for Subspace Segmentation (YW, DPW, QL, WC, IJW), pp. 1209–1217.
ICML-2015-WangY #learning #matrix: Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.
ICML-2015-YuCL #learning #online #rank: Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams (RY, DC, YL), pp. 238–247.
ICML-2015-ZhaoYZL #adaptation #probability: Adaptive Stochastic Alternating Direction Method of Multipliers (PZ, JY, TZ, PL), pp. 69–77.
KDD-2015-BotezatuBGVW #clustering: Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching (MMB, JB, IG, HV, DW), pp. 1711–1720.
KDD-2015-FakhraeiFSG #detection #evolution #network #social: Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
KDD-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.
KDD-2015-HanZ #learning: Learning Tree Structure in Multi-Task Learning (LH, YZ), pp. 397–406.
KDD-2015-KadkhodaieCSB: Accelerated Alternating Direction Method of Multipliers (MK, KC, MS, AB), pp. 497–506.
KDD-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.
KDD-2015-LanH #complexity #learning: Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning (CL, JH), pp. 627–634.
KDD-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.
KDD-2015-NiTFZ #clustering #flexibility #robust: Flexible and Robust Multi-Network Clustering (JN, HT, WF, XZ), pp. 835–844.
KDD-2015-NoriKYII #modelling #predict: Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care (NN, HK, KY, HI, YI), pp. 855–864.
KDD-2015-Papagiannopoulou #learning: Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning (CP, GT, IT), pp. 915–924.
KDD-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.
KDD-2015-RaptiSTT #network: Virus Propagation in Multiple Profile Networks (AR, SS, KT, GT), pp. 975–984.
KDD-2015-ScheinPBW: Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts (AS, JWP, DMB, HMW), pp. 1045–1054.
KDD-2015-YangH #learning: Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning (PY, JH), pp. 1375–1384.
KDD-2015-YuW0PSIW #bound #markov: Tornado Forecasting with Multiple Markov Boundaries (KY, DW, WD, JP, DLS, SI, XW), pp. 2237–2246.
KDD-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.
KDD-2015-ZhaoSYCLR #learning: Multi-Task Learning for Spatio-Temporal Event Forecasting (LZ, QS, JY, FC, CTL, NR), pp. 1503–1512.
MLDM-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.
RecSys-2015-Bourke #recommendation: The Application of Recommender Systems in a Multi Site, Multi Domain Environment (SB), p. 229.
SEKE-2015-MokniHUVZ #architecture #component #evolution: An evolution management model for multi-level component-based software architectures (AM, MH, CU, SV, HYZ), pp. 674–679.
SEKE-2015-XuB #reliability #using: A Reliable and Secure Cloud Storage Schema Using Multiple Service Providers (HX, DB), pp. 116–121.
SIGIR-2015-Al-Dhelaan #graph #named #summary: StarSum: A Simple Star Graph for Multi-document Summarization (MAD), pp. 715–718.
SIGIR-2015-BarzegarSFHD #named #semantics: DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness (SB, JES, AF, SH, BD), pp. 1027–1028.
SIGIR-2015-CormackG #learning #overview #perspective: Multi-Faceted Recall of Continuous Active Learning for Technology-Assisted Review (GVC, MRG), pp. 763–766.
SIGIR-2015-LiLZS #matrix #modelling #retrieval #using: Modeling Multi-query Retrieval Tasks Using Density Matrix Transformation (QL, JL, PZ, DS), pp. 871–874.
SIGIR-2015-Pal: Discovering Experts across Multiple Domains (AP), pp. 923–926.
SIGIR-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.
SIGIR-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.
SIGIR-2015-SunXZLGX #personalisation #recommendation: Multi-source Information Fusion for Personalized Restaurant Recommendation (JS, YX, YZ, JL, CG, HX), pp. 983–986.
SIGIR-2015-TanWX #matrix #summary #topic: Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.
SIGIR-2015-ZamaniMS #adaptation #evaluation #learning: Adaptive User Engagement Evaluation via Multi-task Learning (HZ, PM, AS), pp. 1011–1014.
SIGIR-2015-ZhangCQZL #personalisation #recommendation #similarity: When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation (XZ, JC, SQ, ZZ, HL), pp. 1019–1022.
ECMFA-J-2012-PfeifferW15 #design #development: The design space of multi-language development environments (RHP, AW), pp. 383–411.
ICMT-J-2012-AtkinsonGT15 #model transformation #modelling #transformation language: Enhancing classic transformation languages to support multi-level modeling (CA, RG, CVT), pp. 645–666.
ECMFA-2015-RossiniLGN #comparison #modelling: A Comparison of Two-Level and Multi-level Modelling for Cloud-Based Applications (AR, JdL, EG, NN), pp. 18–32.
ICMT-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.
ICMT-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.
MoDELS-2015-AtkinsonGK15a #approach #modelling: A unifying approach to connections for multi-level modeling (CA, RG, TK), pp. 216–225.
SPLC-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.
SPLC-2015-HotzWRGL #automation #evaluation: Evaluation across multiple views for variable automation systems (LH, YW, MR, OG, JL), pp. 311–315.
SPLC-2015-TeixeiraBG #evolution #product line: Safe evolution of product populations and multi product lines (LT, PB, RG), pp. 171–175.
OOPSLA-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.
PLDI-2015-DingTKZK #optimisation: Optimizing off-chip accesses in multicores (WD, XT, MTK, YZ, EK), pp. 131–142.
PLDI-2015-Sidiroglou-Douskos #automation #fault: Automatic error elimination by horizontal code transfer across multiple applications (SSD, EL, FL, MR), pp. 43–54.
PPDP-2015-Al-HumaimeedyF #specification #verification: Enhancing the specification and verification techniques of multiparty sessions in SOC (ASAH, MF), pp. 19–30.
ASE-2015-BozhinoskiRMPT #named: FLYAQ: Enabling Non-expert Users to Specify and Generate Missions of Autonomous Multicopters (DB, DDR, IM, PP, MT), pp. 801–806.
ASE-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.
ASE-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.
ASE-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-FSE-2015-FilieriHM #adaptation #automation #design #self: Automated multi-objective control for self-adaptive software design (AF, HH, MM), pp. 13–24.
ESEC-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-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.
ICSE-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.
ICSE-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.
ICSE-v2-2015-AlexandruG #agile #analysis: Rapid Multi-Purpose, Multi-Commit Code Analysis (CVA, HCG), pp. 635–638.
ICSE-v2-2015-Baia #approach #project management #simulation: An Integrated Multi-Agent-Based Simulation Approach to Support Software Project Management (DdMB), pp. 911–914.
ICSE-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.
SAC-2015-BarringtonFD #scalability: A scalable multi-producer multi-consumer wait-free ring buffer (AB, SDF, DD), pp. 1321–1328.
SAC-2015-BasgaluppBP #algorithm #evolution #induction: Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic (MPB, RCB, VP), pp. 110–117.
SAC-2015-BechetCCC #constraints #mining #sequence: Sequence mining under multiple constraints (NB, PC, TC, BC), pp. 908–914.
SAC-2015-BerardiEF0 #classification #mobile: Multi-store metadata-based supervised mobile app classification (GB, AE, TF, FS), pp. 585–588.
SAC-2015-BezuBRVVF #component #detection #similarity #web: Multi-component similarity method for web product duplicate detection (RvB, SB, RR, JV, DV, FF), pp. 761–768.
SAC-2015-Brefeld #learning: Multi-view learning with dependent views (UB), pp. 865–870.
SAC-2015-BurkhardtK #classification #on the: On the spectrum between binary relevance and classifier chains in multi-label classification (SB, SK), pp. 885–892.
SAC-2015-CanoA #feedback #scalability #streaming: Feedback management for scaling clients in streaming multicast (JC, LA), pp. 669–671.
SAC-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.
SAC-2015-CinalliMPG #optimisation: Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence (DC, LM, NSP, ACBG), pp. 133–138.
SAC-2015-CostaRRTS #named #platform: MpOS: a multiplatform offloading system (PBC, PALR, LSR, FAMT, JNdS), pp. 577–584.
SAC-2015-DemuthRNHZE #framework #named: DesignSpace: an infrastructure for multi-user/multi-tool engineering (AD, MRE, AN, PH, KZ, AE), pp. 1486–1491.
SAC-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.
SAC-2015-Dragoni: Exploiting multilinguality for creating mappings between thesauri (MD), pp. 382–387.
SAC-2015-FernandezAQVFZC #off the shelf: Introduction to partial time composability for COTS multicores (GF, JA, EQ, TV, LF, MZ, FJC), pp. 1955–1956.
SAC-2015-GassaraRJ #approach #architecture #deployment #modelling: A multi-scale modeling approach for software architecture deployment (AG, IBR, MJ), pp. 1405–1410.
SAC-2015-GuedesBOX #clustering #graph: Exploring multiple clusterings in attributed graphs (GPG, EB, ESO, GX), pp. 915–918.
SAC-2015-IsraelHS #analysis #semantics #summary: Semantic analysis for focused multi-document summarization (fMDS) of text (QI, HH, IYS), pp. 339–344.
SAC-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.
SAC-2015-Khan #network: Multi-criteria based vertical handover decision in heterogeneous wireless network (MK), pp. 720–721.
SAC-2015-KhlifKKD #approach #architecture #modelling #towards: Towards a multi-scale modeling approach for software architectures (IK, MHK, AHK, KD), pp. 1468–1470.
SAC-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.
SAC-2015-MateCEL #automation #video: Automatic multi-camera remix from single video (SM, IDDC, AJE, AL), pp. 1270–1277.
SAC-2015-MochalovaN: Multi-stage seed selection for viral marketing (AM, AN), pp. 1181–1183.
SAC-2015-SilvaBAR #clustering #prototype #using: Semi-supervised clustering using multi-assistant-prototypes to represent each cluster (WJS, MCNB, SdA, HLR), pp. 831–836.
SAC-2015-SilvaLP #locality #replication: Boosting locality in multi-version partial data replication (JAS, JL, HP), pp. 1309–1314.
SAC-2015-SoaresMV: Controlling the focus and input events in multimedia applications (LFGS, MFM, ÁLVG), pp. 1278–1284.
SAC-2015-SugiyamaS #learning: Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks (AS, TS), pp. 494–500.
SAC-2015-VielMT #approach: An approach for controlling synchronous remote instances of a multimedia presentation (CCV, ELM, CACT), pp. 1285–1290.
SAC-2015-WangCR #optimisation: Dynamic optimization of multi-layered reinsurance treaties (HW, OACC, ARC), pp. 125–132.
SAC-2015-WeberFMS #mining #process: Mining processes with multi-instantiation (IW, MF, JM, JGS), pp. 1231–1237.
SAC-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.
GPCE-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.
GPCE-2015-MakarovH #compilation #named: CLOP: a multi-stage compiler to seamlessly embed heterogeneous code (DM, MH), pp. 109–112.
ASPLOS-2015-ParkPM #collaboration #gpu #named: Chimera: Collaborative Preemption for Multitasking on a Shared GPU (JJKP, YP, SAM), pp. 593–606.
CASE-2015-AmriBARF #robust #using: Robust indoor location tracking of multiple inhabitants using only binary sensors (MHA, YB, DA, NR, MF), pp. 194–199.
CASE-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.
CASE-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.
CASE-2015-ChenTLY #optimisation #parametricity: Multi-objective parameter optimization of multi-pass CNC machining (XC, YT, CL, QY), pp. 45–50.
CASE-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.
CASE-2015-DamesK #automation #detection #locality #smarttech: Automated detection, localization, and registration of smart devices with multiple robots (PD, VK), pp. 564–571.
CASE-2015-DiganiHSS #approach #coordination #polynomial #programming: A Quadratic Programming approach for coordinating multi-AGV systems (VD, MAH, LS, CS), pp. 600–605.
CASE-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.
CASE-2015-GuptaKMW #coordination: Incentive compatible mechanism for coordinated temperature control in multi-occupant buildings (SKG, KK, SM, JTW), pp. 438–443.
CASE-2015-HuangJG #distributed #generative #optimisation: Multi-timescale optimization between distributed wind generators and electric vehicles in microgrid (QH, QSJ, XG), pp. 671–676.
CASE-2015-JiaSDXLMZ #industrial: Multi-objective position control for an industrial robot calibration system (YJ, CS, ZD, NX, XL, CM, GZ), pp. 1236–1241.
CASE-2015-KamraA #integer #programming: A mixed integer programming model for timed deliveries in multirobot systems (NK, NA), pp. 612–617.
CASE-2015-KloetzerM #modelling #petri net: Accomplish multi-robot tasks via Petri net models (MK, CM), pp. 304–309.
CASE-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.
CASE-2015-LiaoHJ: Numerical testbed of a multiple-chiller plant for centralized HVAC systems (YL, GH, QsJ), pp. 699–701.
CASE-2015-LiX #energy #learning: A multi-grid reinforcement learning method for energy conservation and comfort of HVAC in buildings (BL, LX), pp. 444–449.
CASE-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.
CASE-2015-ParisioWKEJ #energy: An MPC-based Energy Management System for multiple residential microgrids (AP, CW, TK, JE, KHJ), pp. 7–14.
CASE-2015-RiaziBWVL #energy #optimisation: Energy optimization of multi-robot systems (SR, KB, OW, EV, BL), pp. 1345–1350.
CASE-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.
CASE-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.
CASE-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.
CASE-2015-TorresP #using: Cooperative control of multiple untethered magnetic microrobots using a single magnetic field source (NAT, DOP), pp. 1608–1613.
CASE-2015-XieZLSD #agile #analysis #approach #process: Analysis of multi-patient rapid response processes: An iterative approach (XX, ZZ, JL, CHS, PD), pp. 740–745.
CASE-2015-YuYS: Motion planning and manipulation of multiple nanowires simultaneouly under electric-fields in fluid suspension (KY, JY, JS), pp. 489–494.
CASE-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.
CASE-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.
CGO-2015-McAfeeO #framework #generative #learning #named: EMEURO: a framework for generating multi-purpose accelerators via deep learning (LCM, KO), pp. 125–135.
CGO-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.
DAC-2015-ChenTSHK #analysis #modelling #reliability: Interconnect reliability modeling and analysis for multi-branch interconnect trees (HBC, SXDT, VS, XH, TK), p. 6.
DAC-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.
DAC-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.
DAC-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.
DAC-2015-PanLYXL #question: Pushing multiple patterning in sub-10nm: are we ready? (DZP, LL, BY, XX, YL), p. 6.
DAC-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.
DAC-2015-TretterKT #probability: Interleaved multi-bank scratchpad memories: a probabilistic description of access conflicts (AT, PK, LT), p. 6.
DATE-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.
DATE-2015-CalayirDWP #programmable: Analog neuromorphic computing enabled by multi-gate programmable resistive devices (VC, MD, JAW, LP), pp. 928–931.
DATE-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.
DATE-2015-CilardoG #clustering #memory management: Interplay of loop unrolling and multidimensional memory partitioning in HLS (AC, LG), pp. 163–168.
DATE-2015-GarciaMSN #performance: High performance single supply CMOS inverter level up shifter for multi: supply voltages domains (JCG, JAMN, JS, SN), pp. 1273–1276.
DATE-2015-HadjisCSHTA #synthesis: Profiling-driven multi-cycling in FPGA high-level synthesis (SH, AC, RS, YHA, HT, JA), pp. 31–36.
DATE-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.
DATE-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.
DATE-2015-HuangLH: Volume-oriented sample preparation for reactant minimization on flow-based microfluidic biochips with multi-segment mixers (CMH, CHL, JDH), pp. 1114–1119.
DATE-2015-KarageorgosSRRT #variability: Impact of interconnect multiple-patterning variability on SRAMs (IK, MS, PR, JR, ZT, DV, RB, SS, WD), pp. 609–612.
DATE-2015-KarkarTMY #communication #distributed: Mixed wire and surface-wave communication fabrics for decentralized on-chip multicasting (AK, KFT, TSTM, AY), pp. 794–799.
DATE-2015-LaerEMWJ #predict: Coherence based message prediction for optically interconnected chip multiprocessors (AVL, CE, MRM, PMW, TMJ), pp. 613–616.
DATE-2015-Leger #adaptation: Combining adaptive alternate test and multi-site (GL), pp. 1389–1394.
DATE-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.
DATE-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.
DATE-2015-PoplavkoSBBB #execution #modelling #realtime: Models for deterministic execution of real-time multiprocessor applications (PP, DS, PB, SB, MB), pp. 1665–1670.
DATE-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.
DATE-2015-RustP #approximate #design: Design method for multiplier-less two-variable numeric function approximation (JR, SP), pp. 948–953.
DATE-2015-SamieBHH #online: Online binding of applications to multiple clock domains in shared FPGA-based systems (FS, LB, CMH, JH), pp. 25–30.
DATE-2015-TchagouTMVSQ #testing: Reducing trace size in multimedia applications endurance tests (SVET, AT, JFM, BV, MS, RQ), pp. 984–985.
DATE-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.
DATE-2015-YallaHK #comparison: Comparison of multi-purpose cores of Keccak and AES (PY, EH, JPK), pp. 585–588.
DATE-2015-YuSHEAB #library #statistics #using: Statistical library characterization using belief propagation across multiple technology nodes (LY, SS, CH, IME, DAA, DSB), pp. 1383–1388.
HPCA-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.
HPDC-2015-KocoloskiL #memory management #named #performance: XEMEM: Efficient Shared Memory for Composed Applications on Multi-OS/R Exascale Systems (BK, JRL), pp. 89–100.
HPDC-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.
ISMM-2015-CameronSV: The judgment of forseti: economic utility for dynamic heap sizing of multiple runtimes (CC, JS, DV), pp. 143–156.
PDP-2015-ArresKB #clustering #optimisation: Optimizing OLAP Cubes Construction by Improving Data Placement on Multi-nodes Clusters (BA, NK, OB), pp. 520–524.
PDP-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.
PDP-2015-GuerreiroIRT #energy #kernel #optimisation #performance: Multi-kernel Auto-Tuning on GPUs: Performance and Energy-Aware Optimization (JG, AI, NR, PT), pp. 438–445.
PDP-2015-MukunokiIT #implementation #performance: Fast Implementation of General Matrix-Vector Multiplication (GEMV) on Kepler GPUs (DM, TI, DT), pp. 642–650.
PDP-2015-NavarroSSGR #design #locality: Row Tables: Design Choices to Exploit Bank Locality in Multiprogram Workloads (PN, VS, JS, MEG, CGR), pp. 22–26.
PDP-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.
PDP-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.
PDP-2015-SelfaSRG #metric #performance: Methodologies and Performance Metrics to Evaluate Multiprogram Workloads (VS, JS, CGR, MEG), pp. 150–154.
PDP-2015-UtreraGM #communication #performance: Evaluating the Performance Impact of Communication Imbalance in Sparse Matrix-Vector Multiplication (GU, MG, XM), pp. 321–328.
PPoPP-2015-AlSaberK #performance #semantics: SemCache++: semantics-aware caching for efficient multi-GPU offloading (NA, MK), pp. 255–256.
PPoPP-2015-ChabbiFM #performance: High performance locks for multi-level NUMA systems (MC, MWF, JMMC), pp. 215–226.
PPoPP-2015-KimLV #programming: An OpenACC-based unified programming model for multi-accelerator systems (JK, SL, JSV), pp. 257–258.
PPoPP-2015-SaillardCB #concurrent #thread #validation: Static/Dynamic validation of MPI collective communications in multi-threaded context (ES, PC, DB), pp. 279–280.
ESOP-2015-CoxCR #abstraction #source code: Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages (AC, BYEC, XR), pp. 483–509.
FASE-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.
FoSSaCS-2015-KieferMW #automaton: Minimisation of Multiplicity Tree Automata (SK, IM, JW), pp. 297–311.
FoSSaCS-2015-Velner #decidability #game studies #robust: Robust Multidimensional Mean-Payoff Games are Undecidable (YV), pp. 312–327.
STOC-2015-AmbainisFG #matrix #performance: Fast Matrix Multiplication: Limitations of the Coppersmith-Winograd Method (AA, YF, FLG), pp. 585–593.
STOC-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.
STOC-2015-ZhuLO #matrix: Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates (ZAZ, ZL, LO), pp. 237–245.
TACAS-2015-BassetKTW #game studies #probability #synthesis: Strategy Synthesis for Stochastic Games with Multiple Long-Run Objectives (NB, MZK, UT, CW), pp. 256–271.
TACAS-2015-BrazdilCFK #named #synthesis: MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives (TB, KC, VF, AK), pp. 181–187.
CAV-2015-RandourRS #markov #process #query: Percentile Queries in Multi-dimensional Markov Decision Processes (MR, JFR, OS), pp. 123–139.
CAV-2015-BrenguierR #game studies: Pareto Curves of Multidimensional Mean-Payoff Games (RB, JFR), pp. 251–267.
CAV-2015-VijayaraghavanC #composition #deduction #design #hardware #verification: Modular Deductive Verification of Multiprocessor Hardware Designs (MV, AC, A, ND), pp. 109–127.
ICST-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.
ICST-2015-LeottaSRT #robust #testing #using #web: Using Multi-Locators to Increase the Robustness of Web Test Cases (ML, AS, FR, PT), pp. 1–10.
ICST-2015-MondalHD #test coverage #testing: Exploring Test Suite Diversification and Code Coverage in Multi-Objective Test Case Selection (DM, HH, SD), pp. 1–10.
ICST-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.
ICTSS-2015-GunicenJY #adaptation #generative #sequence #using: Using Multiple Adaptive Distinguishing Sequences for Checking Sequence Generation (CG, GVJ, HY), pp. 19–34.
ISSTA-2015-EpitropakisYHB #empirical #evaluation #performance #testing: Empirical evaluation of pareto efficient multi-objective regression test case prioritisation (MGE, SY, MH, EKB), pp. 234–245.
ISSTA-2015-XieLLLC #automation #named #string #summary: S-looper: automatic summarization for multipath string loops (XX, YL, WL, XL, HC), pp. 188–198.
LICS-2015-ChatterjeeKK #markov #process: Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes (KC, ZK, JK), pp. 244–256.
LICS-2015-ClementeR #problem #worst-case: Multidimensional beyond Worst-Case and Almost-Sure Problems for Mean-Payoff Objectives (LC, JFR), pp. 257–268.
CBSE-2014-DelavalGRP #composition #coordination: Modular coordination of multiple autonomic managers (GD, SMKG, ÉR, NDP), pp. 3–12.
WICSA-2014-SapienzaCP #architecture #clustering: Architectural Decisions for HW/SW Partitioning Based on Multiple Extra-Functional Properties (GS, IC, PP), pp. 175–184.
DocEng-2014-MartinsP #documentation #named #reuse: ActiveTimesheets: extending web-based multimedia documents with dynamic modification and reuse features (DSM, MdGCP), pp. 3–12.
DocEng-2014-SarkisCD #refactoring #web: The virtual splitter: refactoring web applications for themultiscreen environment (MS, CC, JCD), pp. 139–142.
DRR-2014-LundRW #fault #how #question: How well does multiple OCR error correction generalize? (WBL, EKR, DDW), p. ?–13.
HT-2014-KimWWO #analysis #twitter: Sociolinguistic analysis of Twitter in multilingual societies (SK, IW, LW, AHO), pp. 243–248.
JCDL-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.
JCDL-2014-ChenAK #information management #metadata: Enabling multilingual information access to digital collections: An investigation of metadata records translation (JC, OA, RK), pp. 467–468.
SIGMOD-2014-AilamakiLTPP #how: How to stop under-utilization and love multicores (AA, EL, PT, DP, IP), pp. 189–192.
SIGMOD-2014-CheneyLW #evaluation #performance #query #relational: Query shredding: efficient relational evaluation of queries over nested multisets (JC, SL, PW), pp. 1027–1038.
SIGMOD-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.
SIGMOD-2014-Kroetsch #database #in memory #statistics: Multi-dimensional data statistics for columnar in-memory databases (CK), pp. 1605–1606.
SIGMOD-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.
SIGMOD-2014-TaharaDA #named #sql: Sinew: a SQL system for multi-structured data (DT, TD, DJA), pp. 815–826.
SIGMOD-2014-XuKM #framework #nondeterminism #performance #summary: Efficient summarization framework for multi-attribute uncertain data (JX, DVK, SM), pp. 421–432.
SIGMOD-2014-ZaschkeZN: The PH-tree: a space-efficient storage structure and multi-dimensional index (TZ, CZ, MCN), pp. 397–408.
VLDB-2014-ChairunnandaDO #database #named #replication: ConfluxDB: Multi-Master Replication for Partitioned Snapshot Isolation Databases (PC, KD, MTÖ), pp. 947–958.
VLDB-2014-KunjirKB #clustering #named #towards: Thoth: Towards Managing a Multi-System Cluster (MK, PK, SB), pp. 1689–1692.
VLDB-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.
VLDB-2014-SadoghiCBNR #concurrent #database: Reducing Database Locking Contention Through Multi-version Concurrency (MS, MC, BB, FN, KAR), pp. 1331–1342.
VLDB-2014-WangKLW #named: Terrain-Toolkit: A Multi-Functional Tool for Terrain Data (QW, MK, CL, RCWW), pp. 1645–1648.
VLDB-2014-WangOYZZ #effectiveness #retrieval: Effective Multi-Modal Retrieval based on Stacked Auto-Encoders (WW, BCO, XY, DZ, YZ), pp. 649–660.
VLDB-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.
VLDB-2015-GicevaARH14 #deployment #query: Deployment of Query Plans on Multicores (JG, GA, TR, TH), pp. 233–244.
VLDB-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.
VLDB-2015-TrummerK14 #optimisation #parametricity #query: Multi-Objective Parametric Query Optimization (IT, CK), pp. 221–232.
EDM-2014-ClementORL #education #online #optimisation #sequence: Online Optimization of Teaching Sequences with Multi-Armed Bandits (BC, PYO, DR, ML0), pp. 269–272.
EDM-2014-HuangGB: General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge (YH0, JPGB, PB), pp. 84–91.
EDM-2014-LiuMBP #learning: Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits (YEL, TM, EB, ZP), pp. 161–168.
EDM-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.
EDM-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.
EDM-2014-SilvaA #mining #modelling #student: Mining Multi-dimensional Patterns for Student Modelling (AS0, CA), pp. 393–394.
EDM-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.
ITiCSE-2014-PolitzPKF #named #overview #programming: CaptainTeach: multi-stage, in-flow peer review for programming assignments (JGP, DP, SK, KF), pp. 267–272.
ITiCSE-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.
CSMR-WCRE-2014-XiaFLCW #behaviour #learning #towards: Towards more accurate multi-label software behavior learning (XX, YF, DL, ZC, XW), pp. 134–143.
ICSME-2014-XuanM #fault #learning #locality #metric #ranking: Learning to Combine Multiple Ranking Metrics for Fault Localization (JX, MM), pp. 191–200.
MSR-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.
SCAM-2014-CaraccioloCSL #corpus #named: Pangea: A Workbench for Statically Analyzing Multi-language Software Corpora (AC, AC, BS, ML), pp. 71–76.
DLT-J-2013-AtigKS14 #order: Adjacent Ordered Multi-Pushdown Systems (MFA, KNK, PS), pp. 1083–1096.
DLT-J-2013-BonomoMRRS14 #sorting #word: Sorting conjugates and Suffixes of Words in a Multiset (SB, SM, AR, GR, MS), p. 1161–?.
DLT-J-2013-KutribMW14a #automaton #finite: Stateless One-Way Multi-Head Finite Automata with Pebbles (MK, AM, MW), pp. 1141–1160.
CIAA-2014-Fujiyoshi #automaton #recognition: Recognition of Labeled Multidigraphs by Spanning Tree Automata (AF), pp. 188–199.
CIAA-2014-Maletti #bottom-up #power of #transducer: The Power of Regularity-Preserving Multi Bottom-up Tree Transducers (AM), pp. 278–289.
ICALP-v1-2014-GuptaTW #optimisation: Changing Bases: Multistage Optimization for Matroids and Matchings (AG, KT, UW), pp. 563–575.
ICALP-v2-2014-NikzadR #algorithm #approximate #problem: Sending Secrets Swiftly: Approximation Algorithms for Generalized Multicast Problems (AN, RR), pp. 568–607.
LATA-2014-Cerny #composition #morphism #problem: Solutions to the Multi-dimensional Equal Powers Problem Constructed by Composition of Rectangular Morphisms (AC), pp. 273–284.
FM-2014-BaeOM #analysis #semantics: Definition, Semantics, and Analysis of Multirate Synchronous AADL (KB, PCÖ, JM), pp. 94–109.
IFM-2014-TofanSR #composition #proving: A Compositional Proof Method for Linearizability Applied to a Wait-Free Multiset (BT, GS, WR), pp. 357–372.
SEFM-2014-GrovO #analysis #consistency #formal method: Increasing Consistency in Multi-site Data Stores: Megastore-CGC and Its Formal Analysis (JG, PCÖ), pp. 159–174.
FLOPS-2014-BarkatiWJ #interpreter #named: Faustine: A Vector Faust Interpreter Test Bed for Multimedia Signal Processing — System Description (KB, HW, PJ), pp. 69–85.
FLOPS-2014-HanadaI #on the #persistent #programming: On Cross-Stage Persistence in Multi-Stage Programming (YH, AI), pp. 103–118.
FLOPS-2014-Magalhaes #parametricity #programming: Generic Programming with Multiple Parameters (JPM), pp. 136–151.
ILC-2014-Castro-Castilla #development #mobile #platform: Multiplatform and Mobile App Development in Scheme with Gambit/SchemeSpheres (ÁCC), p. 4.
AIIDE-2014-BlackfordL #game studies #order #problem #realtime: The Real-Time Strategy Game Multi-Objective Build Order Problem (JB, GBL).
CHI-PLAY-2014-CarterNG #design #game studies: Screen ecologies, multi-gaming and designing for different registers of engagement (MC, BN, MRG), pp. 37–46.
CHI-PLAY-2014-FinneganVMMB #game studies: Reindeer & wolves: exploring sensory deprivation in multiplayer digital bodily play (DJF, EV, RM, FM0, RB), pp. 411–412.
CHI-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.
CIG-2014-DahlskogT #generative: A multi-level level generator (SD, JT), pp. 1–8.
CIG-2014-EdelkampP #game studies: Multi-goal motion planning with physics-based game engines (SE, EP), pp. 1–8.
CIG-2014-Tsang #simulation: Applying fingerprint multilateration to population dynamics in Prisoner's Dilemma simulations (JT), pp. 1–8.
FDG-2014-Holmes #editing #game studies: A web-based editor for multiplayer choice games (IH).
VS-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.
VS-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.
CHI-2014-0002GF #named #tutorial: CADament: a gamified multiplayer software tutorial system (WL, TG, GWF), pp. 3369–3378.
CHI-2014-BiOZ #optimisation: Both complete and correct?: multi-objective optimization of touchscreen keyboard (XB, TO, SZ), pp. 2297–2306.
CHI-2014-DengRKBBF #scalability: Scalable multi-label annotation (JD, OR, JK, MSB, ACB, FFL), pp. 3099–3102.
CHI-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.
CHI-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.
CHI-2014-Hale #network #twitter: Global connectivity and multilinguals in the Twitter network (SAH), pp. 833–842.
CHI-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.
CHI-2014-LissermannHSSM #collaboration #named: Permulin: mixed-focus collaboration on multi-view tabletops (RL, JH, MS, JS, MM), pp. 3191–3200.
CHI-2014-MarkWN #empirical #online #process: Stress and multitasking in everyday college life: an empirical study of online activity (GM, YW, MN), pp. 41–50.
CHI-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.
CHI-2014-NguyenK #matter #performance: Orientation matters: efficiency of translation-rotation multitouch tasks (QN, MK), pp. 2013–2016.
CHI-2014-NicolauMGGH: B#: chord-based correction for multitouch braille input (HN, KM, TJG, JG, VLH), pp. 1705–1708.
CHI-2014-OlafsdottirTA #interactive: Prospective motor control on tabletops: planning grasp for multitouch interaction (HBO, TT, CA), pp. 2893–2902.
CHI-2014-PanS: A gaze-preserving situated multiview telepresence system (YP, AS), pp. 2173–2176.
CHI-2014-RendlGPBH #gesture #named: Presstures: exploring pressure-sensitive multi-touch gestures on trackpads (CR, PG, KP, MB, MH), pp. 431–434.
CHI-2014-RuizVLAC #gesture #interactive #video: Multi-viewer gesture-based interaction for omni-directional video (GARR, DV, KL, FA, EC), pp. 4077–4086.
CHI-2014-RzeszotarskiK #named #visualisation: Kinetica: naturalistic multi-touch data visualization (JMR, AK), pp. 897–906.
CHI-2014-WagnerLS: Multi-finger chords for hand-held tablets: recognizable and memorable (JW, EL, TS), pp. 2883–2892.
CHI-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.
CHI-2014-ZhangH #comprehension #modelling: Understanding multitasking through parallelized strategy exploration and individualized cognitive modeling (YZ, AJH), pp. 3885–3894.
CHI-2014-ZhaoBCPEKR #collaboration #named #sketching: skWiki: a multimedia sketching system for collaborative creativity (ZZ, SKB, SKC, DGP, NE, LGK, KR), pp. 1235–1244.
CSCW-2014-GaoXCF #how: How beliefs about the presence of machine translation impact multilingual collaborations (GG, BX, DC, SRF), pp. 1549–1560.
CSCW-2014-SemaanRDM #social #social media #towards: Social media supporting political deliberation across multiple public spheres: towards depolarization (BS, SPR, SKD, MM), pp. 1409–1421.
CSCW-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.
DUXU-DI-2014-Al-SalhieAA #detection: Multimedia Surveillance in Event Detection: Crowd Analytics in Hajj (LAS, MAZ, AAW), pp. 383–392.
DUXU-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.
DUXU-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.
DUXU-DP-2014-Patsoule #agile #interactive: Interactions around a Multi-touch Tabletop: A Rapid Ethnographic Study in a Museum (EP), pp. 434–445.
DUXU-ELAS-2014-CravenLM #design #research: Developing mHealth Apps with Researchers: Multi-Stakeholder Design Considerations (MPC, ARL, JLM), pp. 15–24.
DUXU-ELAS-2014-George-PalilonisB #student #tablet #tool support: SMART Note: Student-Centered Multimedia Active Reading Tools for Tablet Textbooks (JGP, DB), pp. 217–229.
DUXU-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.
DUXU-ELAS-2014-YangWW #safety: Impact of Multi-sensory On-Bicycle Rider Assistance Devices on Rider Concentration and Safety (CYY, YTW, CTW), pp. 378–388.
DUXU-TMT-2014-Olaverri-MonrealOB #usability: Multicultural Text Entry: A Usability Study (COM, MLLRO, KB), pp. 329–339.
HCI-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.
HCI-AIMT-2014-HumayounRHE #gesture #interactive #mobile #web: Adding Multi-Touch Gesture Interaction in Mobile Web Applications (SRH, FAR, SH, AE), pp. 48–57.
HCI-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.
HCI-AIMT-2014-NieblingSKS #diagrams #editing #gesture #interactive #modelling: Model-Based Multi-touch Gesture Interaction for Diagram Editors (FN, DS, RK, TS), pp. 121–130.
HCI-AIMT-2014-PalomaresLR #evaluation: Study and Evaluation of Separability Techniques and Occlusion in Multitouch Surfaces (JP, MEL, AR), pp. 293–304.
HCI-AIMT-2014-RoshandelMMTK #3d #authentication: Multi-sensor Finger Ring for Authentication Based on 3D Signatures (MR, AM, PM, ST, HK), pp. 131–138.
HCI-AIMT-2014-RoshandelMMTK14a #gesture #recognition: Multi-sensor Based Gestures Recognition with a Smart Finger Ring (MR, AM, PM, ST, HK), pp. 316–324.
HCI-AIMT-2014-SchmidtW #gesture #predict: Prediction of Multi-touch Gestures during Input (MS, GW), pp. 158–169.
HCI-AS-2014-PortouliP #adaptation: Adaptive Warning Strategies from Multiple Systems: A Simulator Study with Drivers with Different Reaction Times (EP, VP), pp. 485–493.
HCI-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.
HCI-TMT-2014-NguyenTD #development #platform #user interface: Picture-Driven User Interface Development for Applications on Multi-platforms (VTN, MTT, ADD), pp. 350–360.
HCI-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.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-DE-2014-SuzukiSI #interactive: Analyzing Structure of Multiparty Interaction: Group Size Effect in Story-Retelling Task (NS, MS, NI), pp. 261–270.
LCT-NLE-2014-ImranK #framework #interactive #named #platform: HIP — A Technology-Rich and Interactive Multimedia Pedagogical Platform (ASI, SJK), pp. 151–160.
LCT-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.
SCSM-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.
CAiSE-2014-FolinoGP #low level #mining #modelling #predict #process: Mining Predictive Process Models out of Low-level Multidimensional Logs (FF, MG, LP), pp. 533–547.
EDOC-2014-WeissK #lifecycle: A Life Cycle for Coupled Multi-scale, Multi-field Experiments Realized through Choreographies (AW, DK), pp. 234–241.
ICEIS-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.
ICEIS-v1-2014-HuangZZ #clustering #generative: Multi-domain Schema Clustering and Hierarchical Mediated Schema Generation (QH, CZ, JZ), pp. 111–118.
ICEIS-v1-2014-PintoNH #optimisation: Multi-objective Optimization of Investment Strategies — Based on Evolutionary Computation Techniques, in Volatile Environments (JMP, RFN, NH), pp. 480–488.
ICEIS-v1-2014-SilvaA #case study #mining: Multi-dimensional Pattern Mining — A Case Study in Healthcare (AS, CA), pp. 273–280.
ICEIS-v2-2014-ChangS: Cooperation Strategies for Multi-user Transmission in Manhattan Environment (JC, WS), pp. 415–419.
ICEIS-v2-2014-Gateau #in the cloud #monitoring: A Multi-agent System to Monitor SLA for Cloud Computing (BG), pp. 647–652.
ICEIS-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.
ICEIS-v3-2014-Guerreiro #framework #towards #transaction: Towards Multi-level Organizational Control Framework to Manage the Business Transaction Workarounds (SG), pp. 288–294.
CIKM-2014-BellaachiaA #ranking #summary: Multi-document Hyperedge-based Ranking for Text Summarization (AB, MAD), pp. 1919–1922.
CIKM-2014-DongYMLSWWGY #statistics: Maximizing Multi-scale Spatial Statistical Discrepancy (WD, RY, CM, CL, LS, LW, YW, PG, JY), pp. 471–480.
CIKM-2014-DrumondDSN #modelling #optimisation: Optimizing Multi-Relational Factorization Models for Multiple Target Relations (LRD, EDA, LST, WN), pp. 191–200.
CIKM-2014-GoncalvesDCSZB #learning: Multi-task Sparse Structure Learning (ARG, PD, SC, VS, FJVZ, AB), pp. 451–460.
CIKM-2014-GuiSHB #modelling #network #topic: Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
CIKM-2014-HongBH #classification #framework: A Mixtures-of-Trees Framework for Multi-Label Classification (CH, IB, MH), pp. 211–220.
CIKM-2014-JinZXDLH #learning: Multi-task Multi-view Learning for Heterogeneous Tasks (XJ, FZ, HX, CD, PL, QH), pp. 441–450.
CIKM-2014-LimsopathamMO #modelling #ranking #towards: Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients (NL, CM, IO), pp. 1639–1648.
CIKM-2014-MaoWHO #classification #learning #linear: Nonlinear Classification via Linear SVMs and Multi-Task Learning (XM, OW, WH, PO), pp. 1955–1958.
CIKM-2014-NguyenL #clustering: Dynamic Clustering of Contextual Multi-Armed Bandits (TTN, HWL), pp. 1959–1962.
CIKM-2014-QianSS #database #scalability #statistics: Computing Multi-Relational Sufficient Statistics for Large Databases (ZQ, OS, YLS), pp. 1249–1258.
CIKM-2014-QianZ #clustering #feature model #web: Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data (MQ, CZ), pp. 1963–1966.
CIKM-2014-SchneiderBV #linear: Solving Linear SVMs with Multiple 1D Projections (JS, JB, MV), pp. 221–230.
CIKM-2014-SchuthSWLR #evaluation #online #performance: Multileaved Comparisons for Fast Online Evaluation (AS, FS, SW, DL, MdR), pp. 71–80.
CIKM-2014-ShenJ #information management #network #online #social: Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks (YS, HJ), pp. 381–390.
CIKM-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.
CIKM-2014-VatsalanC #database #privacy #scalability: Scalable Privacy-Preserving Record Linkage for Multiple Databases (DV, PC), pp. 1795–1798.
CIKM-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.
CIKM-2014-XiePLW #framework #image #learning: A Cross-modal Multi-task Learning Framework for Image Annotation (LX, PP, YL, SW), pp. 431–440.
CIKM-2014-YangLLLH #automation #clustering #detection #social #using: Automatic Social Circle Detection Using Multi-View Clustering (YY, CL, XL, BL, JH), pp. 1019–1028.
CIKM-2014-YuR: Search Result Diversification via Filling Up Multiple Knapsacks (HY, FR), pp. 609–618.
CIKM-2014-ZhangLLW #graph #named: PatentDom: Analyzing Patent Relationships on Multi-View Patent Graphs (LZ, LL, TL, DW), pp. 1369–1378.
ECIR-2014-BouchouchaLN #query: Integrating Multiple Resources for Diversified Query Expansion (AB, XL, JYN), pp. 437–442.
ECIR-2014-MarcheggianiTE0 #aspect-oriented #mining #random: Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining (DM, OT, AE, FS), pp. 273–285.
ECIR-2014-SchnitzerFT #retrieval: A Case for Hubness Removal in High-Dimensional Multimedia Retrieval (DS, AF, NT), pp. 687–692.
ECIR-2014-TsikrikaD #image: Multi-evidence User Group Discovery in Professional Image Search (TT, CD), pp. 693–699.
ICML-c1-2014-AzadiS #probability #towards: Towards an optimal stochastic alternating direction method of multipliers (SA, SS), pp. 620–628.
ICML-c1-2014-ChenLL #online #problem: Boosting with Online Binary Learners for the Multiclass Bandit Problem (STC, HTL, CJL), pp. 342–350.
ICML-c1-2014-LiL #classification: Condensed Filter Tree for Cost-Sensitive Multi-Label Classification (CLL, HTL), pp. 423–431.
ICML-c1-2014-NguyenPNVB #clustering #parametricity: Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts (TVN, DQP, XN, SV, HB), pp. 288–296.
ICML-c1-2014-SeldinBCA #predict: Prediction with Limited Advice and Multiarmed Bandits with Paid Observations (YS, PLB, KC, YAY), pp. 280–287.
ICML-c1-2014-Suzuki #coordination #probability: Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers (TS), pp. 736–744.
ICML-c1-2014-TaiebH: Boosting multi-step autoregressive forecasts (SBT, RJH), pp. 109–117.
ICML-c1-2014-YogatamaS #word: Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers (DY, NAS), pp. 656–664.
ICML-c1-2014-Yu0KD #learning #scalability: Large-scale Multi-label Learning with Missing Labels (HFY, PJ, PK, ISD), pp. 593–601.
ICML-c1-2014-ZhongK #performance #probability: Fast Stochastic Alternating Direction Method of Multipliers (WZ, JTYK), pp. 46–54.
ICML-c2-2014-AgarwalKKSV #predict #scalability: Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.
ICML-c2-2014-BeijbomSKV: Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting (OB, MJS, DJK, NV), pp. 586–594.
ICML-c2-2014-Bou-AmmarERT #learning #online #policy: Online Multi-Task Learning for Policy Gradient Methods (HBA, EE, PR, MET), pp. 1206–1214.
ICML-c2-2014-ChakrabartiFCM #network #scalability: Joint Inference of Multiple Label Types in Large Networks (DC, SF, JC, SAM), pp. 874–882.
ICML-c2-2014-HuS #machine learning #predict: Multi-period Trading Prediction Markets with Connections to Machine Learning (JH, AJS), pp. 1773–1781.
ICML-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.
ICML-c2-2014-KondorTG #matrix: Multiresolution Matrix Factorization (RK, NT, VG), pp. 1620–1628.
ICML-c2-2014-KontorovichW #nearest neighbour: Maximum Margin Multiclass Nearest Neighbors (AK, RW), pp. 892–900.
ICML-c2-2014-LinDH0 #classification #encoding: Multi-label Classification via Feature-aware Implicit Label Space Encoding (ZL, GD, MH, JW), pp. 325–333.
ICML-c2-2014-LiuZBP #dependence #modelling #testing #visual notation: Multiple Testing under Dependence via Semiparametric Graphical Models (JL, CZ, ESB, DP), pp. 955–963.
ICML-c2-2014-LiZ0 #learning: Bayesian Max-margin Multi-Task Learning with Data Augmentation (CL, JZ, JC), pp. 415–423.
ICML-c2-2014-NguyenMVEB #analysis #correlation: Multivariate Maximal Correlation Analysis (HVN, EM, JV, PE, KB), pp. 775–783.
ICML-c2-2014-NiuDPS #approximate #learning: Transductive Learning with Multi-class Volume Approximation (GN, BD, MCdP, MS), pp. 1377–1385.
ICML-c2-2014-RaiWGCDC #composition #rank #scalability: Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.
ICML-c2-2014-RodriguesPR #classification #learning #process: Gaussian Process Classification and Active Learning with Multiple Annotators (FR, FCP, BR), pp. 433–441.
ICML-c2-2014-SongADX #estimation #modelling #parametricity: Nonparametric Estimation of Multi-View Latent Variable Models (LS, AA, BD, BX), pp. 640–648.
ICML-c2-2014-WeiIB #performance: Fast Multi-stage Submodular Maximization (KW, RKI, JAB), pp. 1494–1502.
ICML-c2-2014-ZhouCL #crowdsourcing #identification: Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing (YZ, XC, JL), pp. 217–225.
ICPR-2014-AfzalAFMO #3d #re-engineering: RGB-D Multi-view System Calibration for Full 3D Scene Reconstruction (HA, DA, DF, BM, BEO), pp. 2459–2464.
ICPR-2014-AggarwalM #algorithm #metric #random: Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors (HKA, AM), pp. 1014–1019.
ICPR-2014-BagheriHGE #classification #framework #recognition: A Framework of Multi-classifier Fusion for Human Action Recognition (MAB, GH, QG, SE), pp. 1260–1265.
ICPR-2014-BartoliLKBB #adaptation #detection #performance: Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection (FB, GL, SK, ADB, ADB), pp. 3534–3539.
ICPR-2014-BashbaghiGSB #using: Watch-List Screening Using Ensembles Based on Multiple Face Representations (SB, EG, RS, GAB), pp. 4489–4494.
ICPR-2014-BeraM #realtime #using: Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles (AB, DM), pp. 4164–4169.
ICPR-2014-BlondelFU #scalability: Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex (MB, AF, NU), pp. 1289–1294.
ICPR-2014-BorgiLEA14a #recognition #using: Sparse Multi-regularized Shearlet-Network Using Convex Relaxation for Face Recognition (MAB, DL, ME, CBA), pp. 4636–4641.
ICPR-2014-CaoHS #approach #classification #kernel #learning: Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification (LlC, WbH, FS), pp. 3564–3569.
ICPR-2014-CastroMC #recognition: Pyramidal Fisher Motion for Multiview Gait Recognition (FMC, MJMJ, RMC), pp. 1692–1697.
ICPR-2014-ChangWW #image #matrix: Multi-view Nonnegative Matrix Factorization for Clothing Image Characterization (WYC, CPW, YCFW), pp. 1272–1277.
ICPR-2014-ChenB: Soft Biometrics Integrated Multi-target Tracking (XC, BB), pp. 4146–4151.
ICPR-2014-CheplyginaSTPLB #classification #learning: Classification of COPD with Multiple Instance Learning (VC, LS, DMJT, JJHP, ML, MdB), pp. 1508–1513.
ICPR-2014-Climent-PerezMR #detection #using: Multi-view Event Detection in Crowded Scenes Using Tracklet Plots (PCP, DNM, PR), pp. 4370–4375.
ICPR-2014-DaherBBD #documentation #segmentation: Multipage Administrative Document Stream Segmentation (HD, MRB, AB, VPD), pp. 966–971.
ICPR-2014-DahlCB #image #segmentation #using: Multiphase Image Segmentation Using the Deformable Simplicial Complex Method (VAD, ANC, JAB), pp. 1002–1007.
ICPR-2014-DengWGZZ #modelling: Multiple View Based Building Modeling with Multi-box Grammar (RD, QW, RG, GZ, HZ), pp. 4027–4032.
ICPR-2014-DonoserHS: Multiple Model Fitting by Evolutionary Dynamics (MD, MH, DS), pp. 3816–3821.
ICPR-2014-ElmikatyS #detection #image #using: Car Detection in High-Resolution Urban Scenes Using Multiple Image Descriptors (ME, TS), pp. 4299–4304.
ICPR-2014-FengWWL #adaptation #recognition: Multi-group Adaptation for Event Recognition from Videos (YF, XW, HW, JL), pp. 3915–3920.
ICPR-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.
ICPR-2014-GaoHDJ: Depth Structure Association for RGB-D Multi-target Tracking (SG, ZH, DSD, JJ), pp. 4152–4157.
ICPR-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.
ICPR-2014-GienTCL #fuzzy #learning #predict: Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction (JG, YYT, CLPC, YL), pp. 512–516.
ICPR-2014-GuoCLHS #ambiguity #automation #identification: Multi-shot Person Re-identification with Automatic Ambiguity Inference and Removal (CCG, SZC, JHL, XJH, SCS), pp. 3540–3545.
ICPR-2014-GuoZLCZ #clustering #kernel #learning: Multiple Kernel Learning Based Multi-view Spectral Clustering (DG, JZ, XL, YC, CZ), pp. 3774–3779.
ICPR-2014-HadjadjiCG #classification: Multiple One-Class Classifier Combination for Multi-class Classification (BH, YC, YG), pp. 2832–2837.
ICPR-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.
ICPR-2014-HeDY0PJ #random #using #visual notation: Visual Tracking Using Multi-stage Random Simple Features (YH, ZD, MY, LC, MP, YJ), pp. 4104–4109.
ICPR-2014-Hess-FloresRJ #analysis #nondeterminism: Uncertainty, Baseline, and Noise Analysis for L1 Error-Based Multi-view Triangulation (MHF, SR, KIJ), pp. 4074–4079.
ICPR-2014-HollausDS #image: Improving OCR Accuracy by Applying Enhancement Techniques on Multispectral Images (FH, MD, RS), pp. 3080–3085.
ICPR-2014-HuLYLL #database #evaluation #mining: Multi-camera Trajectory Mining: Database and Evaluation (YH, SL, DY, ZL, SZL), pp. 4684–4689.
ICPR-2014-HuPYYM #recognition #robust: Robust Multi-pose Facial Expression Recognition (QH, XP, PY, FY, DNM), pp. 1782–1787.
ICPR-2014-IoannidisCL #clustering #modelling #using: Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering (AI, VC, AL), pp. 3463–3468.
ICPR-2014-JangLSK #automation #classification #using #video: Automatic Video Genre Classification Using Multiple SVM Votes (WDJ, CL, JYS, CSK), pp. 2655–2660.
ICPR-2014-JhuoL #detection #learning #video: Video Event Detection via Multi-modality Deep Learning (IHJ, DTL), pp. 666–671.
ICPR-2014-KhanVP #visual notation: A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking (MHK, MFV, TPP), pp. 2245–2250.
ICPR-2014-KhoshrouCT #learning #video: Active Learning from Video Streams in a Multi-camera Scenario (SK, JSC, LFT), pp. 1248–1253.
ICPR-2014-KimBKC #online #people: MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes (SWK, MB, KK, JYC), pp. 1212–1217.
ICPR-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.
ICPR-2014-KurtzNP #component: Multivalued Component-Tree Filtering (CK, BN, NP), pp. 1008–1013.
ICPR-2014-LiuZC #identification #learning #metric #parametricity: Parametric Local Multi-modal Metric Learning for Person Re-identification (KL, ZCZ, AC), pp. 2578–2583.
ICPR-2014-LiYLMDWX #higher-order: Multiple-Output Regression with High-Order Structure Information (CL, LY, QL, FM, WD, YW, JX), pp. 3868–3873.
ICPR-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.
ICPR-2014-MadrigalHL: Intention-Aware Multiple Pedestrian Tracking (FM, JBH, FL), pp. 4122–4127.
ICPR-2014-MiaoSH #linear #programming #robust: Fusion of Multibiometrics Based on a New Robust Linear Programming (DM, ZS, YH), pp. 291–296.
ICPR-2014-NguyenCO #retrieval: Multi-modal and Cross-Modal for Lecture Videos Retrieval (NVN, MC, JMO), pp. 2667–2672.
ICPR-2014-NguyenP #linear #using: Tracking Using Multiple Linear Searches and Motion Direction Sampling (TN, TPP), pp. 2191–2196.
ICPR-2014-OGormanLY #network #process: Creating a Unified, Wide-Area Activity Map for Multi-camera Networks (LO, DL, GY), pp. 4588–4593.
ICPR-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.
ICPR-2014-OskarssonAT #graph #scalability: Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, KÅ, AT), pp. 750–755.
ICPR-2014-Ozay #image #segmentation: Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images (MO), pp. 3839–3844.
ICPR-2014-PatriciaTC #adaptation #learning #performance: Multi-source Adaptive Learning for Fast Control of Prosthetics Hand (NP, TT, BC), pp. 2769–2774.
ICPR-2014-PhamKO #integration #named: DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons (VQP, TK, RO), pp. 1206–1211.
ICPR-2014-PillaiFR #classification #learning: Learning of Multilabel Classifiers (IP, GF, FR), pp. 3452–3456.
ICPR-2014-QianZX #classification #social: Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification (SQ, TZ, CX), pp. 1999–2004.
ICPR-2014-RamirezOT #detection: Go with the Flow: Improving Multi-view Vehicle Detection with Motion Cues (AR, EOB, MMT), pp. 4140–4145.
ICPR-2014-SatoKSK #classification #learning: Learning Multiple Complex Features Based on Classification Results (YS, KK, YS, MK), pp. 3369–3373.
ICPR-2014-SengerSMK #behaviour #segmentation: Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior (LS, MS, JHM, EAK), pp. 4564–4569.
ICPR-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.
ICPR-2014-Shirakawa #performance #similarity #using: Fast Similarity Search Using Multiple Binary Codes (SS), pp. 3714–3719.
ICPR-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.
ICPR-2014-SmedtBTG #combinator #detection: The Combinator: Optimal Combination of Multiple Pedestrian Detectors (FDS, KVB, TT, TG), pp. 3522–3527.
ICPR-2014-StraehleKKH #learning #random: Multiple Instance Learning with Response-Optimized Random Forests (CNS, MK, UK, FAH), pp. 3768–3773.
ICPR-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.
ICPR-2014-TianLST #segmentation: Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions (ST, SL, BS, CLT), pp. 2703–2708.
ICPR-2014-UmakanthanDFS #learning #process #representation #taxonomy: Multiple Instance Dictionary Learning for Activity Representation (SU, SD, CF, SS), pp. 1377–1382.
ICPR-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.
ICPR-2014-WangS #automation #dataset #segmentation #using: Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors (CW, ÖS), pp. 3327–3332.
ICPR-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.
ICPR-2014-WenZLDC #3d #retrieval #sketching: Sketch-Based 3D Model Retrieval via Multi-feature Fusion (YW, CZ, JL, SD, SC), pp. 4570–4575.
ICPR-2014-WuLWHJ #learning: Multi-label Learning with Missing Labels (BW, ZL, SW, BGH, QJ), pp. 1964–1968.
ICPR-2014-WuS #learning #recognition: Regularized Multi-view Multi-metric Learning for Action Recognition (XW, SKS), pp. 471–476.
ICPR-2014-XuRVL #adaptation: Cost-Sensitive Structured SVM for Multi-category Domain Adaptation (JX, SR, DV, AML), pp. 3886–3891.
ICPR-2014-YanCS: Hierarchical Group Structures in Multi-person Tracking (XY, AC, SKS), pp. 2221–2226.
ICPR-2014-YangN #integration #learning: Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration (YY, SN), pp. 4062–4067.
ICPR-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.
ICPR-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.
ICPR-2014-YiMHP #classification #invariant #locality #process: Pose Invariant Activity Classification for Multi-floor Indoor Localization (SY, PWM, TKH, VP), pp. 3505–3510.
ICPR-2014-YuanT #algorithm #classification #image: Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification (HY, YYT), pp. 1383–1388.
ICPR-2014-ZhaiSDJ: Covariance-Based PCA for Multi-size Data (MZ, FS, DD, NJ), pp. 1603–1608.
ICPR-2014-ZhangHWZ #parsing: Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model (ZZ, JH, YW, YZ), pp. 369–374.
ICPR-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.
ICPR-2014-ZhangM14a #detection #learning: Simultaneous Detection of Multiple Facial Action Units via Hierarchical Task Structure Learning (XZ, MHM), pp. 1863–1868.
ICPR-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.
KDD-2014-BensonRS #learning #network #scalability: Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDD-2014-GongZFY #learning #performance: Efficient multi-task feature learning with calibration (PG, JZ, WF, JY), pp. 761–770.
KDD-2014-GunnemannFRS #clustering #named: SMVC: semi-supervised multi-view clustering in subspace projections (SG, IF, MR, TS), pp. 253–262.
KDD-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.
KDD-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.
KDD-2014-PrabhuV #classification #learning #named #performance: FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning (YP, MV), pp. 263–272.
KDD-2014-SahooHL #kernel #online: Online multiple kernel regression (DS, SCHH, BL), pp. 293–302.
KDD-2014-SpasojevicYRB #named #network #scalability #social #topic: LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDD-2014-VasishtDVK #classification #learning: Active learning for sparse bayesian multilabel classification (DV, ACD, MV, AK), pp. 472–481.
KDD-2014-WangHYL #named #network: MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
KDD-2014-WangZQWD #predict #risk management: Clinical risk prediction with multilinear sparse logistic regression (FW, PZ, BQ, XW, ID), pp. 145–154.
KDD-2014-YinW #approach #clustering #modelling: A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.
KDD-2014-ZhaiXW #optimisation: A multi-class boosting method with direct optimization (SZ, TX, SW), pp. 273–282.
KDD-2014-ZhangYZ #predict: Meta-path based multi-network collective link prediction (JZ, PSY, ZHZ), pp. 1286–1295.
KDD-2014-ZhouL #classification #mining #network: Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.
KDD-2014-ZhouT #graph: Multi-task copula by sparse graph regression (TZ, DT), pp. 771–780.
KDIR-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.
KEOD-2014-ChamekhTB #concept #ontology: Ontology Modification in a Multi-User Concept — Conflict Resolution (FC, GT, DB), pp. 296–303.
KEOD-2014-PaniCP #approach #content management: An Approach to Multimedia Content Management (FEP, GC, SP), pp. 264–271.
KEOD-2014-TawfikGB #framework #interactive #platform: An Interactive Platform for Multilingual Linguistic Resource Enrichment (AT, FG, FB), pp. 195–206.
KMIS-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.
KR-2014-BartholomewL #modelling: Stable Models of Multi-Valued Formulas: Partial versus Total Functions (MB, JL).
KR-2014-BelleL14a #on the: On the Progression of Knowledge in Multiagent Systems (VB, GL).
KR-2014-DunneDLW: Characteristics of Multiple Viewpoints in Abstract Argumentation (PED, WD, TL, SW).
KR-2014-LomuscioM #abstraction #atl #specification #verification: An Abstraction Technique for the Verification of Multi-Agent Systems Against ATL Specifications (AL, JM).
KR-2014-TasharrofiT: Generalized Multi-Context Systems (ST, ET).
MLDM-2014-AlshdaifatCD #classification: A Multi-path Strategy for Hierarchical Ensemble Classification (EA, FC, KD), pp. 198–212.
MLDM-2014-AnanpiriyakulPV #classification: Label Correction Strategy on Hierarchical Multi-Label Classification (TA, PP, PV), pp. 213–227.
MLDM-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.
MLDM-2014-FuMD #classification #network #performance #towards: Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier (SF, SM, MCD), pp. 16–30.
MLDM-2014-HassaniSS #adaptation #clustering: Adaptive Multiple-Resolution Stream Clustering (MH, PS, TS), pp. 134–148.
MLDM-2014-SenkoD: Multiple Regression Method Based on Unexpandable and Irreducible Convex Combinations (OVS, AD), pp. 43–57.
MLDM-2014-SilvaA: Finding Multi-dimensional Patterns in Healthcare (AS, CA), pp. 361–375.
RecSys-2014-DalyBKM #recommendation: Multi-criteria journey aware housing recommender system (EMD, AB, AK, RM), pp. 325–328.
SEKE-2014-AssoudiL #approach #process: A Multi-Agent-Based Approach for Autonomic Data Exchange Processes (HA, HL), pp. 334–337.
SEKE-2014-DalliloAF #approach #process: Making the link between strategy and process model collections: a multi-layered approach (FD, JPdA, MF), pp. 387–392.
SEKE-2014-GomedeB #approach: A Multicriteria Approach to Project Portfolio Selection (EG, RMB), pp. 43–48.
SIGIR-2014-ChengYWL #behaviour #recommendation: Group latent factor model for recommendation with multiple user behaviors (JC, TY, JW, HL), pp. 995–998.
SIGIR-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.
SIGIR-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.
SIGIR-2014-RenPLDR #classification #social: Hierarchical multi-label classification of social text streams (ZR, MHP, SL, WvD, MdR), pp. 213–222.
SIGIR-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.
SIGIR-2014-ZhangLLZ #evolution #graph #named: PatentLine: analyzing technology evolution on multi-view patent graphs (LZ, LL, TL, QZ), pp. 1095–1098.
SIGIR-2014-ZhangZLG14a #crowdsourcing #modelling: Multidimensional relevance modeling via psychometrics and crowdsourcing (YZ, JZ, ML, JG), pp. 435–444.
SKY-2014-Ben-Av #algebra #generative #ontology #using: Ontology Hierarchy Self Generation using Algebraic Multi-Grid (AMG) (RBA), pp. 79–85.
BX-2014-MacedoCP #framework #model transformation #towards: Towards a Framework for Multidirectional Model Transformations (NM, AC, HP), pp. 71–74.
ECMFA-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.
MoDELS-2014-ChavarriagaNCJ #detection #process: Propagating Decisions to Detect and Explain Conflicts in a Multi-step Configuration Process (JC, CN, RC, VJ), pp. 337–352.
MoDELS-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.
SPLC-2014-DamianiSW #product line: Delta-oriented multi software product lines (FD, IS, TW), pp. 232–236.
SPLC-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.
SPLC-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.
SPLC-2014-SteinNC #feature model: Preference-based feature model configuration with multiple stakeholders (JS, IN, EC), pp. 132–141.
SPLC-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.
ECOOP-2014-LeeKZ #concurrent #execution: Infrastructure-Free Logging and Replay of Concurrent Execution on Multiple Cores (KHL, DK, XZ), pp. 232–256.
ECOOP-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.
Onward-2014-ReyndersDP #functional #programming #web: Multi-Tier Functional Reactive Programming for the Web (BR, DD, FP), pp. 55–68.
OOPSLA-2014-ZhouSGY #adaptation #optimisation: Space-efficient multi-versioning for input-adaptive feedback-driven program optimizations (MZ, XS, YG, GY), pp. 763–776.
AdaEurope-2014-QamhiehM #analysis #graph #scheduling: Schedulability Analysis for Directed Acyclic Graphs on Multiprocessor Systems at a Subtask Level (MQ, SM), pp. 119–133.
AdaEurope-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.
PADL-2014-SonPL #prolog #source code: Two Applications of the ASP-Prolog System: Decomposable Programs and Multi-context Systems (TCS, EP, TL), pp. 87–103.
RE-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.
RE-2014-GhanavatiRDA: Goal-oriented compliance with multiple regulations (SG, AR, ED, DA), pp. 73–82.
RE-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.
RE-2014-ZhuMR #modelling: Structured multi-view modeling by tabular notation (XZ, DM, DR), pp. 327–328.
ASE-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.
ASE-2014-Angerer #impact analysis #product line #variability: Variability-aware change impact analysis of multi-language product lines (FA), pp. 903–906.
FSE-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.
ICSE-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.
ICSE-2014-LeP #control flow #graph #interprocedural #verification: Patch verification via multiversion interprocedural control flow graphs (WL, SDP), pp. 1047–1058.
ICSE-2014-LinXXLPSZ #detection #difference: Detecting differences across multiple instances of code clones (YL, ZX, YX, YL, XP, JS, WZ), pp. 164–174.
SAC-2014-AlexandreMP #algorithm #on the: On the support of task-parallel algorithmic skeletons for multi-GPU computing (FA, RM, HP), pp. 880–885.
SAC-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.
SAC-2014-Gutierrez-GarciaG #safety #simulation: Multi-agent simulation of perception of safety from crime (JOGG, AGdSG), pp. 573–578.
SAC-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.
SAC-2014-HusemannR #predict #scalability #video: Introduction of a multi-layer predictive search strategy for scalable video coding (RH, VR), pp. 985–986.
SAC-2014-KatebFNMAT #framework #modelling #optimisation #platform #runtime: Generic cloud platform multi-objective optimization leveraging models@run.time (