Table of Contents

• Auditing Black-Box Models for Indirect InfluencePhilip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian. 1-10 [doi]
• Asynchronous Multi-task LearningInci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou. 11-20 [doi]
• Unsupervised Exceptional Attributed Sub-Graph Mining in Urban DataAhmed Anes Bendimerad, Marc Plantevit, Céline Robardet. 21-30 [doi]
• ADAGIO: Fast Data-Aware Near-Isometric Linear EmbeddingsJaroslaw Blasiok, Charalampos E. Tsourakakis. 31-40 [doi]
• Causal Inference by CompressionKailash Budhathoki, Jilles Vreeken. 41-50 [doi]
• On Dense Subgraphs in Signed Network StreamsJose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal. 51-60 [doi]
• Relief of Spatiotemporal Accessibility Overloading with Optimal Resource PlacementChien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, Kun-Ta Chuang. 61-70 [doi]
• Mining Graphlet Counts in Online Social NetworksXiaowei Chen, John C. S. Lui. 71-80 [doi]
• Differentially Private Regression DiagnosticsYan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos. 81-90 [doi]
• Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web SitesAlceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos. 91-100 [doi]
• On Efficient External-Memory Triangle ListingYi Cui, Di Xiao, Dmitri Loguinov. 101-110 [doi]
• Efficient Distributed SGD with Variance ReductionSoham De, Tom Goldstein. 111-120 [doi]
• Triply Stochastic Variational Inference for Non-linear Beta Process Factor AnalysisKai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller. 121-130 [doi]
• Beyond Points and Paths: Counting Private BodiesMaryam Fanaeepour, Benjamin I. P. Rubinstein. 131-140 [doi]
• Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative FilteringAlexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets. 141-150 [doi]
• New Robust Clustering Model for Identifying Cancer Genome LandscapesHongchang Gao, Xiaoqian Wang, Heng Huang. 151-160 [doi]
• Event Series Prediction via Non-Homogeneous Poisson Process ModellingJames Goulding, Simon Preston, Gavin Smith. 161-170 [doi]
• Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic StudySuyog Gupta, Wei Zhang, Fei Wang. 171-180 [doi]
• Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large GraphsGuyue Han, Harish Sethu. 181-190 [doi]
• Fusing Similarity Models with Markov Chains for Sparse Sequential RecommendationRuining He, Julian McAuley. 191-200 [doi]
• Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and ClassificationLei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao. 201-210 [doi]
• From Sets of Good Redescriptions to Good Sets of RedescriptionsJanis Kalofolias, Esther Galbrun, Pauli Miettinen. 211-220 [doi]
• Edge Weight Prediction in Weighted Signed NetworksSrijan Kumar, Francesca Spezzano, V. S. Subrahmanian, Christos Faloutsos. 221-230 [doi]
• Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox RegressionYan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy. 231-240 [doi]
• Interactive Multi-task Relationship LearningKaixiang Lin, Jiayu Zhou. 241-250 [doi]
• Augmented LSTM Framework to Construct Medical Self-Diagnosis AndroidChaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang. 251-260 [doi]
• The Optimal Distribution of Electric-Vehicle Chargers across a CityChen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo. 261-270 [doi]
• Streaming Model Selection via Online Factorized Asymptotic Bayesian InferenceChunchen Liu, Lu Feng, Ryohei Fujimaki. 271-280 [doi]
• Robust Multi-View Feature SelectionHongfu Liu, Haiyi Mao, Yun Fu. 281-290 [doi]
• KNN Classifier with Self Adjusting Memory for Heterogeneous Concept DriftViktor Losing, Barbara Hammer, Heiko Wersing. 291-300 [doi]
• New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network ModulesDijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang. 301-310 [doi]
• Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial ApplicationsXin Luo, Mingsheng Shang, Shuai Li. 311-319 [doi]
• Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience MeasuresJohn Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald Wunsch, Gunes Ercal. 320-329 [doi]
• Hyperbolae are No Hyperbole: Modelling Communities That are Not CliquesSaskia Metzler, Stephan Günnemann, Pauli Miettinen. 330-339 [doi]
• Learning Hierarchically Decomposable Concepts with Active Over-LabelingYuji Mo, Stephen D. Scott, Doug Downey. 340-349 [doi]
• AWarp: Fast Warping Distance for Sparse Time SeriesAbdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Amanda J. Minnich. 350-359 [doi]
• Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression ModelsMahdi Pakdaman Naeini, Gregory F. Cooper. 360-369 [doi]
• A Scalable and Generic Framework to Mine Top-k Representative Subgraph PatternsDheepikaa Natarajan, Sayan Ranu. 370-379 [doi]
• What You Will Gain By Rounding: Theory and Algorithms for Rounding RankStefan Neumann 0003, Rainer Gemulla, Pauli Miettinen. 380-389 [doi]
• A Fast Iterative Algorithm for Improved Unsupervised Feature SelectionBruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo. 390-399 [doi]
• Sparse Factorization Machines for Click-through Rate PredictionZhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin. 400-409 [doi]
• Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature CouplingsGuansong Pang, Longbing Cao, Ling Chen, Huan Liu. 410-419 [doi]
• Partition Aware Connected Component Computation in Distributed SystemsHa-Myung Park, Namyong Park, Sung-Hyon Myaeng, U. Kang. 420-429 [doi]
• Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component AnalysisYoung Woong Park, Diego Klabjan. 430-438 [doi]
• Convolutional MKL Based Multimodal Emotion Recognition and Sentiment AnalysisSoujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain. 439-448 [doi]
• Recommending Packages to GroupsShuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas. 449-458 [doi]
• Subspace Outlier Detection in Linear Time with Randomized HashingSaket Sathe, Charu C. Aggarwal. 459-468 [doi]
• CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and AlgorithmsKijung Shin, Tina Eliassi-Rad, Christos Faloutsos. 469-478 [doi]
• L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix FactorizationSangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy. 479-488 [doi]
• Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering SystemsMengting Wan, Julian McAuley. 489-498 [doi]
• Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning MethodJingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, Zhang Xiong. 499-508 [doi]
• Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in CrowdsourcingXiaolong Wang, Jingjing Wang, Luo Jie, ChengXiang Zhai, Yi Chang. 509-518 [doi]
• Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation ConstraintWei Xiong, Bo Du, Lefei Zhang, Ruimin Hu, Dacheng Tao. 519-528 [doi]
• Aligned Matrix Completion: Integrating Consistency and Independency in Multiple DomainsLinli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie. 529-538 [doi]
• Heterogeneous Representation Learning with Structured Sparsity RegularizationPei Yang, Jingrui He. 539-548 [doi]
• POI Recommendation: A Temporal Matching between POI Popularity and User RegularityZijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong. 549-558 [doi]
• College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label ApproachHan-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang. 559-568 [doi]
• Generalized Independent Subspace ClusteringWei Ye, Samuel Maurus, Nina Hubig, Claudia Plant. 569-578 [doi]
• Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time SeriesChin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh. 579-588 [doi]
• Random Walk with Restart over Dynamic GraphsWeiren Yu, Julie A. McCann. 589-598 [doi]
• Communities in Preference Networks: Refined Axioms and BeyondGang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, Jialin Zhang. 599-608 [doi]
• Homophily, Structure, and Content Augmented Network Representation LearningDaokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang. 609-618 [doi]
• Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate DescentHuan Zhang, Cho-Jui Hsieh. 619-628 [doi]
• HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient DescentHuan Zhang, Cho-Jui Hsieh, Venkatesh Akella. 629-638 [doi]
• Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical DataJianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, Aurélien Bach, Alain Vanasse. 639-648 [doi]
• Reliable Gender Prediction Based on Users' Video Viewing BehaviorJie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, Sha Hu. 649-658 [doi]
• Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the DiagnosesLingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie. 659-668 [doi]
• Inferring Latent Network from Cascade Data for Dynamic Social RecommendationQin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang. 669-678 [doi]
• Group Preference Aggregation: A Nash Equilibrium ApproachHongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen. 679-688 [doi]
• Multi-resolution Spatial Event Forecasting in Social MediaLiang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. 689-698 [doi]
• To be or Not to be Friends: Exploiting Social Ties for Venture InvestmentsHao Zhong, Chuanren Liu, Xinjiang Lu, Hui Xiong. 699-708 [doi]
• Graph-Structured Sparse Optimization for Connected Subgraph DetectionBaojian Zhou, Feng Chen. 709-718 [doi]
• Bi-Level Rare Temporal Pattern DetectionDawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo. 719-728 [doi]
• A Bayesian Nonparametric Approach to Dynamic Dyadic Data PredictionFengyuan Zhu, Guangyong Chen, Pheng-Ann Heng. 729-738 [doi]
• Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and JoinsYan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh. 739-748 [doi]
• Measuring Patient Similarities via a Deep Architecture with Medical Concept EmbeddingZihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang. 749-758 [doi]
• ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional DataAli Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong. 759-768 [doi]
• Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering AlgorithmTakuya Akiba, Kenko Nakamura, Taro Takaguchi. 769-774 [doi]
• Cut Tree Construction from Massive GraphsTakuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, Yosuke Yano. 775-780 [doi]
• Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social TiesBasma Alharbi, Xiangliang Zhang. 781-786 [doi]
• A Combinatorial Approach to Role DiscoveryAlbert Arockiasamy, Aristides Gionis, Nikolaj Tatti. 787-792 [doi]
• DESQ: Frequent Sequence Mining with Subsequence ConstraintsKaustubh Beedkar, Rainer Gemulla. 793-798 [doi]
• EXTRACT: Strong Examples from Weakly-Labeled Sensor DataDavis W. Blalock, John V. Guttag. 799-804 [doi]
• A Theoretical Analysis of the Fuzzy K-Means ProblemJohannes Blömer, Sascha Brauer, Kathrin Bujna. 805-810 [doi]
• Efficient Sampling-Based Kernel Mean MatchingSwarup Chandra, Ahsanul Haque, Latifur Khan, Charu Aggarwal. 811-816 [doi]
• DeBot: Twitter Bot Detection via Warped CorrelationNikan Chavoshi, Hossein Hamooni, Abdullah Mueen. 817-822 [doi]
• Interpretable Clustering via Discriminative Rectangle Mixture ModelJunxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael Cho, Edwin K. Silverman, Jennifer Dy. 823-828 [doi]
• Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph ModelsAlex J. Chin, Timothy D. Goodrich, Michael P. O'Brien, Felix Reidl, Blair D. Sullivan, Andrew van der Poel. 829-834 [doi]
• Event Grounding from Multimodal Social Network FusionHyunsouk Cho, Jinyoung Yeo, Seung-won Hwang. 835-840 [doi]
• Can Active Learning Experience Be Transferred?Hong-Min Chu, Hsuan-Tien Lin. 841-846 [doi]
• Outlier Detection from Network Data with Subnetwork InterpretationXuan Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu. 847-852 [doi]
• Incorporating Expert Feedback into Active Anomaly DiscoveryShubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott. 853-858 [doi]
• Spell: Streaming Parsing of System Event LogsMin Du, Feifei Li 0001. 859-864 [doi]
• Modeling Time Lags in Citation NetworksTao-Yang Fu, Zhen Lei, Wang-Chien Lee. 865-870 [doi]
• Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations AnalysisXiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell. 871-876 [doi]
• Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view PerspectiveYanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Chu Guan, Hui Xiong. 877-882 [doi]
• A Semi-Supervised AUC Optimization Method with Generative ModelsAkinori Fujino, Naonori Ueda. 883-888 [doi]
• MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description LengthSebastian Goebl, Annika Tonch, Christian Böhm, Claudia Plant. 889-894 [doi]
• Probabilistic Formulations of Regression with Mixed GuidanceAubrey Gress, Ian Davidson. 895-900 [doi]
• HLGPS: A Home Location Global Positioning System in Location-Based Social NetworksYulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou. 901-906 [doi]
• Large-Scale Embedding Learning in Heterogeneous Event DataHuan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han. 907-912 [doi]
• Direct Mining of Subjectively Interesting Relational PatternsTias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie. 913-918 [doi]
• Semi-Supervised Multi-label Dimensionality ReductionBaolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi. 919-924 [doi]
• A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active LearningKuan-Hao Huang, Hsuan-Tien Lin. 925-930 [doi]
• SOAL: Second-Order Online Active LearningShuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang. 931-936 [doi]
• Learning Compatibility Across Categories for Heterogeneous Item RecommendationRuining He, Charles Packer, Julian McAuley. 937-942 [doi]
• HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social MediaSeyyed Abbas Hosseini, Ali Khodadadi, Ali Arabzadeh, Hamid R. Rabiee. 943-948 [doi]
• Improved and Scalable Bradley-Terry Model for Collaborative RankingJun Hu, Ping Li. 949-954 [doi]
• Sparse Gaussian Markov Random Field Mixtures for Anomaly DetectionTsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam. 955-960 [doi]
• A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd SettingMuhammad Imran, Sanjay Chawla, Carlos Castillo 0001. 961-966 [doi]
• Learning Deep Networks from Noisy Labels with Dropout RegularizationIshan Jindal, Matthew S. Nokleby, Xuewen Chen. 967-972 [doi]
• Personalized Ranking in Signed Networks Using Signed Random Walk with RestartJinhong Jung, Woojeong Jin, Lee Sael, U. Kang. 973-978 [doi]
• ExploreKit: Automatic Feature Generation and SelectionGilad Katz, Eui Chul Richard Shin, Dawn Song. 979-984 [doi]
• Steering Social Media Promotions with Effective StrategiesKun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang. 985-990 [doi]
• Mining Statistically Significant Attribute Associations in Attributed GraphsJihwan Lee, Keehwan Park, Sunil Prabhakar. 991-996 [doi]
• Time-Aware User Identification with Topic ModelsClément Lesaege, François Schnitzler, Anne Lambert, Jean-Ronan Vigouroux. 997-1002 [doi]
• Toward Time-Evolving Feature Selection on Dynamic NetworksJundong Li, Xia Hu, Ling Jian, Huan Liu. 1003-1008 [doi]
• Concept Based Short Text Stream Classification with Topic Drifting DetectionPei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu. 1009-1014 [doi]
• Regularized Large Margin Distance Metric LearningYa Li, Xinmei Tian, Dacheng Tao. 1015-1022 [doi]
• Mutual Reinforcement of Academic Performance Prediction and Library Book RecommendationDefu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong. 1023-1028 [doi]
• Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location RecommendationDefu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie. 1029-1034 [doi]
• Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event RecommendationYi Liao, Xinshi Lin, Wai Lam. 1035-1040 [doi]
• HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series ClassificationJason Lines, Sarah Taylor, Anthony Bagnall. 1041-1046 [doi]
• House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional AnalysisBang Liu, Borislav Mavrin, Di Niu, Linglong Kong. 1047-1052 [doi]
• Context-Aware Sequential RecommendationQiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang. 1053-1058 [doi]
• Structure-Preserved Multi-source Domain AdaptationHongfu Liu, Ming Shao, Yun Fu. 1059-1064 [doi]
• Sublinear Dual Coordinate Ascent for Regularized Loss MinimizationLiu Liu, Dacheng Tao. 1065-1070 [doi]
• Efficient and Scalable Detection of Overlapping Communities in Big NetworksTianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang. 1071-1076 [doi]
• Factorizing Complex Discrete Data "with Finesse"Samuel Maurus, Claudia Plant. 1077-1082 [doi]
• Towards Scalable Network Delay MinimizationSourav Medya, Petko Bogdanov, Ambuj Singh. 1083-1088 [doi]
• Foundations of Perturbation Robust ClusteringJarrod Moore, Margareta Ackerman. 1089-1094 [doi]
• Faster Kernels for Graphs with Continuous Attributes via HashingChristopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel. 1095-1100 [doi]
• Optimizing the Multiclass F-Measure via Biconcave ProgrammingHarikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy. 1101-1106 [doi]
• Budgeted Batch Bayesian OptimizationVu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh. 1107-1112 [doi]
• One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed SystemsVu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung. 1113-1118 [doi]
• Self-Grouping Multi-network ClusteringJingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang. 1119-1124 [doi]
• A Scalable Framework for Stylometric Analysis Query ProcessingSarana Nutanong, Chenyun Yu, Raheem Sarwar, Peter Xu, Dickson Chow. 1125-1130 [doi]
• Compressing Random ForestsAmichai Painsky, Saharon Rosset. 1131-1136 [doi]
• A Fast Factorization-Based Approach to Robust PCAChong Peng, Zhao Kang, Qiang Cheng. 1137-1142 [doi]
• Background Check: A General Technique to Build More Reliable and Versatile ClassifiersMiquel Perello-Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter A. Flach. 1143-1148 [doi]
• Product-Based Neural Networks for User Response PredictionYanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang. 1149-1154 [doi]
• Efficient Algorithms for the Three Locus Problem in Genome-Wide Association StudySanguthevar Rajasekaran, Subrata Saha. 1155-1160 [doi]
• Scalable Block Scheduling for Efficient Multi-database Record LinkageThilina Ranbaduge, Dinusha Vatsalan, Peter Christen. 1161-1166 [doi]
• Sequential Ensemble Learning for Outlier Detection: A Bias-Variance PerspectiveShebuti Rayana, Wen Zhong, Leman Akoglu. 1167-1172 [doi]
• Learning Independent, Diverse Binary Hash Functions: Pruning and LocalityRamin Raziperchikolaei, Miguel Á. Carreira-Perpiñán. 1173-1178 [doi]
• A Rotation Invariant Latent Factor Model for Moveme Discovery from Static PosesMatteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue. 1179-1184 [doi]
• Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining ApproachAlejandro García-Rudolph, Alberto García-Molina, Eloy Opisso, Josep María Tormos. 1185-1190 [doi]
• Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule MiningErik Scharwächter, Emmanuel Müller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl 0001. 1191-1196 [doi]
• Reliable Semi-supervised LearningJunming Shao, Chen Huang, Qinli Yang, Guangchun Luo. 1197-1202 [doi]
• Online Unsupervised Multi-view Feature SelectionWeixiang Shao, LiFang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu. 1203-1208 [doi]
• Prefix and Suffix Invariant Dynamic Time WarpingDiego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh. 1209-1214 [doi]
• Mining Summaries for Knowledge Graph SearchQi Song, Yinghui Wu, Xin Luna Dong. 1215-1220 [doi]
• Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood CodingAtsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi. 1221-1226 [doi]
• Modeling Real Estate for School District IdentificationFei Tan, Chaoran Cheng, Zhi Wei. 1227-1232 [doi]
• Feature Grouping Using Weighted l1 Norm for High-Dimensional DataBhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy. 1233-1238 [doi]
• Learning Task Relational Structure for Multi-task Feature LearningDe Wang, Feiping Nie, Heng Huang. 1239-1244 [doi]
• Multi-view Clustering via Concept Factorization with Local Manifold RegularizationHao Wang, Yan Yang, Tianrui Li. 1245-1250 [doi]
• A Fast Distributed Classification Algorithm for Large-Scale Imbalanced DataHuihui Wang, Yang Gao, Yinghuan Shi, Hao Wang. 1251-1256 [doi]
• Differential Location Privacy for Sparse Mobile CrowdsensingLeye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma. 1257-1262 [doi]
• Robust Convex Clustering AnalysisQi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou. 1263-1268 [doi]
• Bayesian Rule Sets for Interpretable ClassificationTong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille. 1269-1274 [doi]
• The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion PerspectiveYang Wang, Binxin Liang, Wei Zheng, Liusheng Huang, Hengchang Liu. 1275-1280 [doi]
• Selecting Valuable Customers for Merchants in E-Commerce PlatformsYijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu. 1281-1286 [doi]
• Canonical Consistent Weighted Sampling for Real-Value Weighted Min-HashWei Wu, Bin Li, Ling Chen, Chengqi Zhang. 1287-1292 [doi]
• Spectrum-Revealing Cholesky Factorization for Kernel MethodsJianwei Xiao, Ming Gu. 1293-1298 [doi]
• Topic Discovery for Short Texts Using Word EmbeddingsGuangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang. 1299-1304 [doi]
• Dynamic Contextual Multi Arm Bandits in Display AdvertisementHongxia Yang, Quan Lu. 1305-1310 [doi]
• Functional Regression with Mode-Sparsity ConstraintPei Yang, Jingrui He. 1311-1316 [doi]
• Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and ShapeletsChin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh. 1317-1322 [doi]
• Deep Convolutional Factor Analyser for Multivariate Time Series ModelingChao Yuan, Amit Chakraborty. 1323-1328 [doi]
• Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets ClassificationShuhan Yuan, Xintao Wu, Yang Xiang. 1329-1334 [doi]
• Low-Rank Sparse Feature Selection for Patient Similarity LearningMengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei. 1335-1340 [doi]
• ROM: A Robust Online Multi-task Learning ApproachChi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee. 1341-1346 [doi]
• Scalable Discrete Supervised Hash Learning with Asymmetric Matrix FactorizationShifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang. 1347-1352 [doi]
• Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-FactorizationXianchao Zhang, Haixin Li, Wenxin Liang, Jiebo Luo. 1353-1358 [doi]
• Dynamic Poisson Factor AnalysisYizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin. 1359-1364 [doi]
• Gaussian Component Based Index for GMMsLinfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, Christian Böhm. 1365-1370 [doi]
• Multi-label Learning with Emerging New LabelsYue Zhu, Kai Ming Ting, Zhi-Hua Zhou. 1371-1376 [doi]