Table of Contents

• Split Miner: Discovering Accurate and Simple Business Process Models from Event LogsAdriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa. 1-10 [doi]
• A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder DiagnosisDebrup Banerjee, Kazi Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji, Jiang Li. 11-20 [doi]
• Many Heads are Better than One: Local Community Detection by the Multi-walker ChainYuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang 0001. 21-30 [doi]
• Knowledge Guided Short-Text Classification for Healthcare ApplicationsShilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson. 31-40 [doi]
• A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed NetworksFeng Chen 0001, Baojian Zhou, Adil Alim, Liang Zhao. 41-50 [doi]
• Revisiting Spectral Graph Clustering with Generative Community ModelsPin-Yu Chen, Lingfei Wu. 51-60 [doi]
• Improving I/O Complexity of Triangle EnumerationYi Cui, Di Xiao, Daren B. H. Cline, Dmitri Loguinov. 61-70 [doi]
• TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award)Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos. 71-80 [doi]
• Situation Aware Multi-task Learning for Traffic PredictionDingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu. 81-90 [doi]
• Large Scale Kernel Methods for Online AUC MaximizationYi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi. 91-100 [doi]
• A Hyperplane-Based Algorithm for Semi-Supervised Dimension ReductionHuang Fang, Minhao Cheng, Cho-Jui Hsieh. 101-110 [doi]
• IterativE Grammar-Based Framework for Discovering Variable-Length Time Series MotifsYifeng Gao, Jessica Lin 0001, Huzefa Rangwala. 111-116 [doi]
• Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance LevelsShaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh. 117-126 [doi]
• Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer ApproachFatemeh Sheikholeslami, Georgios B. Giannakis. 127-136 [doi]
• Scalable Algorithms for Locally Low-Rank Matrix ModelingQilong Gu, Joshua D. Trzasko, Arindam Banerjee. 137-146 [doi]
• A Self-Adaptive Sliding Window Based Topic Model for Non-uniform TextsJin He, Lei Li, Xindong Wu. 147-156 [doi]
• Kernel Conditional ClusteringXiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt. 157-166 [doi]
• Data-Driven Utilization-Aware Trip Advisor for Bike-Sharing SystemsJi Hu, Zidong Yang, Yuanchao Shu, Peng Cheng, Jiming Chen. 167-176 [doi]
• Multi-task Multi-modal Models for Collective Anomaly DetectionTsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam. 177-186 [doi]
• Exploratory Analysis of Graph Data by Leveraging Domain KnowledgeDi Jin, Danai Koutra. 187-196 [doi]
• Efficiently Discovering Locally Exceptional Yet Globally Representative SubgroupsJanis Kalofolias, Mario Boley, Jilles Vreeken. 197-206 [doi]
• Visually-Aware Fashion Recommendation and Design with Generative Image ModelsWang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley. 207-216 [doi]
• AutoLearn - Automated Feature Generation and SelectionAmbika Kaul, Saket Maheshwary, Vikram Pudi. 217-226 [doi]
• Collective Entity Resolution in Familial NetworksPigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor. 227-236 [doi]
• Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on Billion-Scale NetworksAlan Kuhnle, Victoria G. Crawford, My T. Thai. 237-246 [doi]
• Online Learning of Acyclic Conditional Preference Networks from Noisy DataFabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif. 247-256 [doi]
• GoGP: Fast Online Regression with Gaussian ProcessesTrung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung. 257-266 [doi]
• HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution DataJianbo Li, Jingrui He, Yada Zhu. 267-276 [doi]
• Linear Time Complexity Time Series Classification with Bag-of-Pattern-FeaturesXiaosheng Li, Jessica Lin. 277-286 [doi]
• An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance LearningRui Liu, Soumya Ray. 287-296 [doi]
• BiCycle: Item Recommendation with Life CyclesXinyue Liu, Yuanfang Song, Charu Aggarwal, Yao Zhang, Xiangnan Kong. 297-306 [doi]
• Telling Cause from Effect Using MDL-Based Local and Global RegressionAlexander Marx, Jilles Vreeken. 307-316 [doi]
• Distributing Frank-Wolfe via Map-ReduceArmin Moharrer, Stratis Ioannidis. 317-326 [doi]
• Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of GraphsChristopher Morris 0001, Kristian Kersting, Petra Mutzel. 327-336 [doi]
• Importance Sketching of Influence Dynamics in Billion-Scale NetworksHung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh. 337-346 [doi]
• Bayesian Optimization in Weakly Specified Search SpaceVu Nguyen, Sunil Gupta, Santu Rana, Cheng Li 0003, Svetha Venkatesh. 347-356 [doi]
• Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral DataMasafumi Oyamada, Shinji Nakadai. 357-366 [doi]
• Unsupervised Feature Learning with Discriminative EncoderGaurav Pandey, Ambedkar Dukkipati. 367-376 [doi]
• Learning Doubly Stochastic Affinity Matrix via Davis-Kahan TheoremJiwoong Park, Taejeong Kim. 377-384 [doi]
• Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep LearningNhatHai Phan, Xintao Wu, Han Hu, Dejing Dou. 385-394 [doi]
• A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural NetworksMinghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu. 395-404 [doi]
• Scalable Hashing-Based Network DiscoveryTara Safavi, Chandra Sripada, Danai Koutra. 405-414 [doi]
• Benchmark Generator for Dynamic Overlapping Communities in NetworksNeha Sengupta, Michael Hamann, Dorothea Wagner. 415-424 [doi]
• Accurate Detection of Automatically Spun Content via Stylometric AnalysisUsman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar. 425-434 [doi]
• STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event DetectionDear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo. 435-444 [doi]
• A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential ElectionTao Sun, Daniel Sheldon, Brendan OConnor. 445-454 [doi]
• Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large GraphsDuru Türkoglu, Ata Turk. 455-464 [doi]
• GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed GraphsBinghui Wang, Neil Zhenqiang Gong, Hao Fu. 465-474 [doi]
• Topological Recurrent Neural Network for Diffusion PredictionJia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang. 475-484 [doi]
• Multi-task Survival AnalysisLu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye. 485-494 [doi]
• Tracking Hit-and-Run Vehicle with Sparse Video Surveillance Cameras and Mobile TaxicabsYang Wang, Wuji Chen, Wei Zheng, He Huang, Wen Zhang, Hengchang Liu. 495-504 [doi]
• Discovering Truths from Distributed DataYaqing Wang, Fenglong Ma, Lu Su, Jing Gao. 505-514 [doi]
• Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical ClassificationYu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang. 515-524 [doi]
• AWDA: An Adaptive Wishart Discriminant AnalysisHaoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo. 525-534 [doi]
• Generating Medical Hypotheses Based on Evolutionary Medical ConceptsGuangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang. 535-544 [doi]
• HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept DriftDingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux. 545-554 [doi]
• Mining Customer Valuations to Optimize Product Bundling StrategyLi Ye, Hong Xie, Weijie Wu, John C. S. Lui. 555-564 [doi]
• Matrix Profile VI: Meaningful Multidimensional Motif DiscoveryChin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh. 565-574 [doi]
• Deep Similarity-Based Batch Mode Active Learning with Exploration-ExploitationChangchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson. 575-584 [doi]
• SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior PredictionHongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen. 585-594 [doi]
• Supervised Belief Propagation: Scalable Supervised Inference on Attributed NetworksJaemin Yoo, Saehan Jo, U. Kang. 595-604 [doi]
• BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned AutoencoderJiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu. 605-614 [doi]
• Data-Driven ImmunizationYao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash. 615-624 [doi]
• Online and Distributed Robust Regressions Under Adversarial Data CorruptionXuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu. 625-634 [doi]
• MetaLDA: A Topic Model that Efficiently Incorporates Meta InformationHe Zhao, Lan Du, Wray L. Buntine, Gang Liu. 635-644 [doi]
• Collaborative Filtering with Social Local ModelsHuan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee. 645-654 [doi]
• Exploiting Hierarchical Structures for POI RecommendationPengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng 0001, Victor S. Sheng, Hui Xiong. 655-664 [doi]
• AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network ClusteringWeizhong Zhao, Gang Chen, Xiaowei Xu. 665-674 [doi]
• SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic LearningShuo Zhou, Sarah M. Erfani, James Bailey. 675-684 [doi]
• A Randomized Approach for Crowdsourcing in the Presence of Multiple ViewsYao Zhou, Jingrui He. 685-694 [doi]
• Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award)Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh. 695-704 [doi]
• Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations DiscoveryAli Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari. 705-714 [doi]
• Differentially Private Mixture of Generative Neural NetworksGergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro. 715-720 [doi]
• A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged MicroblogsAman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy. 721-726 [doi]
• Aspect Sentiment Model for Micro ReviewsReinald Kim Amplayo, Seung-won Hwang. 727-732 [doi]
• Mining the Demographics of Political Sentiment from Twitter Using Learning from Label ProportionsEhsan Mohammady Ardehaly, Aron Culotta. 733-738 [doi]
• Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability TablesLaura Azzimonti, Giorgio Corani, Marco Zaffalon. 739-744 [doi]
• Multi-party Sparse Discriminant LearningJiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu. 745-750 [doi]
• MDL for Causal Inference on Discrete DataKailash Budhathoki, Jilles Vreeken. 751-756 [doi]
• Efficient Mining of Subsample-Stable Graph PatternsAleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli. 757-762 [doi]
• Multi-level Feedback Web Links Selection Problem: Learning and OptimizationKechao Cai, Kun Chen, Longbo Huang, John C. S. Lui. 763-768 [doi]
• HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information NetworksBokai Cao, Mia Mao, Siim Viidu, Philip S. Yu. 769-774 [doi]
• Domain Adaptation for Online ECG MonitoringDiego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi. 775-780 [doi]
• EC3: Combining Clustering and Classification for Ensemble LearningTanmoy Chakraborty. 781-786 [doi]
• Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health RecordsZhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu. 787-792 [doi]
• Clustering by ShiftMorteza Haghir Chehreghani. 793-798 [doi]
• Efficient Computation of Pairwise Minimax Distance MeasuresMorteza Haghir Chehreghani. 799-804 [doi]
• Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse NetworksCan Chen, Junming Liu, Qiao Li, Yijun Wang, Hui Xiong, Shanshan Wu. 805-810 [doi]
• Learning Multiple Similarities of Users and Items in Recommender SystemsHuiyuan Chen, Jing Li. 811-816 [doi]
• Learning to Fuse Music Genres with Generative Adversarial Dual LearningZhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu. 817-822 [doi]
• Data Prefetching for Large Tiered Storage SystemsGiovanni Cherubini, Yusik Kim, Mark A. Lantz, Vinodh Venkatesan. 823-828 [doi]
• Audio-Visual Sentiment Analysis for Learning Emotional Arcs in MoviesEric Chu, Deb Roy. 829-834 [doi]
• Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing ValuesRuifei Cui, Perry Groot, Tom Heskes. 835-840 [doi]
• Network Clocks: Detecting the Temporal Scale of Information DiffusionDaniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov. 841-846 [doi]
• Local Community Detection in Dynamic NetworksDaniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov. 847-852 [doi]
• Online Nearest Neighbor Search in Binary SpaceSepehr Eghbali, Mohammad Hassan Zokaei Ashtiani, Ladan Tahvildari. 853-858 [doi]
• Finding Streams in Knowledge Graphs to Support Fact CheckingPrashant Shiralkar, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia. 859-864 [doi]
• Generating Synthetic Time Series to Augment Sparse DatasetsGermain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh. 865-870 [doi]
• Efficient and Invariant Convolutional Neural Networks for Dense PredictionHongyang Gao, Shuiwang Ji. 871-876 [doi]
• Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted GraphsSebastian Goebl, Srijan Kumar, Christos Faloutsos. 877-882 [doi]
• High-Dimensional Dependency Structure Learning for Physical ProcessesJamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee. 883-888 [doi]
• Learning with Inadequate and Incorrect SupervisionChen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao. 889-894 [doi]
• Market Basket Prediction Using User-Centric Temporal Annotated Recurring SequencesRiccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi. 895-900 [doi]
• Tensor Based Relations Ranking for Multi-relational Collective ClassificationChao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen. 901-906 [doi]
• Sub-Gibbs Sampling: A New Strategy for Inferring LDAChuan Hu, Huiping Cao, Qixu Gong. 907-912 [doi]
• Behind Distribution Shift: Mining Driving Forces of Changes and Causal ArrowsBiwei Huang, Kun Zhang 0001, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf. 913-918 [doi]
• A Self-Paced Category-Aware Approach for Unsupervised Adaptation NetworksWenzhen Huang, Peipei Yang, Kaiqi Huang. 919-924 [doi]
• CRAD: Clustering with Robust Autocuts and DepthXin Huang, Yulia R. Gel. 925-930 [doi]
• SLANT+: A Nonlinear Model for Opinion Dynamics in Social NetworksBhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly. 931-936 [doi]
• Effective Large-Scale Online Influence MaximizationPaul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu. 937-942 [doi]
• Identifying Media Bias by Analyzing Reported SpeechKonstantina Lazaridou, Ralf Krestel, Felix Naumann. 943-948 [doi]
• Fast Compressive Spectral ClusteringTing Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng. 949-954 [doi]
• A Broad Learning Approach for Context-Aware Mobile Application RecommendationTingting Liang, LiFang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu. 955-960 [doi]
• Recover Fine-Grained Spatial Data from Coarse AggregationBang Liu, Borislav Mavrin, Linglong Kong, Di Niu. 961-966 [doi]
• Multi-view Graph Embedding with Hub Detection for Brain Network AnalysisGuixiang Ma, Chun-Ta Lu, LiFang He, Philip S. Yu, Ann B. Ragin. 967-972 [doi]
• BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social NetworksXiao Ma, Xiaofeng Gao, Guihai Chen. 973-978 [doi]
• Automatic Classification of Music Genre Using Masked Conditional Neural NetworksFady Medhat, David Chesmore, John Robinson. 979-984 [doi]
• Theoretically and Empirically High Quality Estimation of Closeness CentralityShogo Murai. 985-990 [doi]
• Efficient Computation of Multiple Density-Based Clustering HierarchiesAntônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento. 991-996 [doi]
• Reductions for Frequency-Based Data Mining ProblemsStefan Neumann 0003, Pauli Miettinen. 997-1002 [doi]
• Ranking Causal Anomalies by Modeling Local Propagations on Networked SystemsJingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang 0001. 1003-1008 [doi]
• Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease NetworkJingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang 0001. 1009-1014 [doi]
• LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann MachineLin Ning, Randall Pittman, Xipeng Shen. 1015-1020 [doi]
• Dynamic Propagation Rates: New Dimension to Viral Marketing in Online Social NetworksTianyi Pan, Alan Kuhnle, Xiang Li, My T. Thai. 1021-1026 [doi]
• Domain Specific Feature Transfer for Hybrid Domain AdaptationPengfei Wei, Yiping Ke, Chi Keong Goh. 1027-1032 [doi]
• Multi-level Multiple Attentions for Contextual Multimodal Sentiment AnalysisSoujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency. 1033-1038 [doi]
• Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global InformationAmin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang. 1039-1044 [doi]
• Novel Exact and Approximate Algorithms for the Closest Pair ProblemSanguthevar Rajasekaran, Subrata Saha, Xingyu Cai. 1045-1050 [doi]
• Informing the Use of Hyperparameter Optimization Through MetalearningSamantha Sanders, Christophe G. Giraud-Carrier. 1051-1056 [doi]
• Kernel-Based Feature Extraction for Collaborative FilteringSaket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu. 1057-1062 [doi]
• Reputation-Based Ranking Systems and Their Resistance to BriberyJoão Saúde, Guilherme Ramos, Carlos Caleiro, Soummya Kar. 1063-1068 [doi]
• The Many Faces of Link FraudNeil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos. 1069-1074 [doi]
• Synchronization-Inspired Co-Clustering and Its Application to Gene Expression DataJunming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang. 1075-1080 [doi]
• Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix FactorizationJunming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli Yang. 1081-1086 [doi]
• WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph StreamsKijung Shin. 1087-1092 [doi]
• Collaborative Inference of Coexisting Information DiffusionsYanchao Sun, Cong Qian, Ning Yang, Philip S. Yu. 1093-1098 [doi]
• Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle FilteringFarzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav Marathe. 1099-1104 [doi]
• Autoregressive Tensor Factorization for Spatio-Temporal PredictionsKoh Takeuchi, Hisashi Kashima, Naonori Ueda. 1105-1110 [doi]
• Time-Aware Latent Hierarchical Model for Predicting House PricesFei Tan, Chaoran Cheng, Zhi Wei. 1111-1116 [doi]
• Crowdsourced Correlation Clustering with Relative Distance ComparisonsAntti Ukkonen. 1117-1122 [doi]
• Multimodal Content Analysis for Effective Advertisements on YouTubeNikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy 0001. 1123-1128 [doi]
• Balanced Distribution Adaptation for Transfer LearningJindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen. 1129-1134 [doi]
• DPiSAX: Massively Distributed Partitioned iSAXDjamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas. 1135-1140 [doi]
• An Influence-Receptivity Model for Topic Based Information CascadesMing Yu, Varun Gupta, Mladen Kolar. 1141-1146 [doi]
• Risk Control of Best Arm Identification in Multi-armed Bandits via Successive RejectsXiaotian Yu, Irwin King, Michael R. Lyu. 1147-1152 [doi]
• Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial DataShuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno. 1153-1158 [doi]
• Wave2Vec: Learning Deep Representations for BiosignalsYe Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang. 1159-1164 [doi]
• Recurrent Encoder-Decoder Networks for Time-Varying Dense PredictionTao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji. 1165-1170 [doi]
• A Practically Competitive and Provably Consistent Algorithm for Uplift ModelingYan Zhao, Xiao Fang, David Simchi-Levi. 1171-1176 [doi]
• Incorporating Spatio-Temporal Smoothness for Air Quality InferenceXiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo. 1177-1182 [doi]
• An Automatic Approach for Transit Advertising in Public Transportation SystemsChen Zhang, Hao Wang, Hui Xiong. 1183-1188 [doi]
• iNEAT: Incomplete Network AlignmentSi Zhang, Hanghang Tong, Jie Tang, JieJun Xu, Wei Fan. 1189-1194 [doi]
• GaDei: On Scale-Up Training as a Service for Deep LearningWei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang. 1195-1200 [doi]
• Scalable Constrained Spectral Clustering via the Randomized Projected Power MethodWeifeng Zhi, Buyue Qian, Ian Davidson. 1201-1206 [doi]
• New Class Adaptation Via Instance Generation in One-Pass Class Incremental LearningYue Zhu, Kai Ming Ting, Zhi-Hua Zhou. 1207-1212 [doi]
• Efficient discovery of time series motifs with large length range in million scale time seriesYifeng Gao, Jessica Lin 0001. 1213-1222 [doi]