Abstract is missing.
- On Big WisdomMinghui Wu, Xindong Wu. 1-2 [doi]
- Landscape of Practical Blockchain Systems and their ApplicationsC. Mohan. 3-4 [doi]
- Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening Using Machine Learning TechniquesRamamohanarao Kotagiri. 5 [doi]
- Blockchain Data AnalyticsCuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel. 6 [doi]
- Discourse Processing and Its Applications in Text MiningShafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray. 7 [doi]
- Which Outlier Detector Should I use?Kai Ming Ting, Sunil Aryal, Takashi Washio. 8 [doi]
- On Multi-query Local Community DetectionYuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang. 9-18 [doi]
- Realization of Random Forest for Real-Time Evaluation through Tree FramingSebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik. 19-28 [doi]
- Social Recommendation with Missing Not at Random DataJiawei Chen, Can Wang 0001, Martin Ester, Qihao Shi, Yan Feng, Chun Chen. 29-38 [doi]
- Prerequisite-Driven Deep Knowledge TracingPenghe Chen, Yu Lu 0003, Vincent W. Zheng, Yang Pian. 39-48 [doi]
- TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales PredictionTong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu 0001, Hao Wang, Xiaofang Zhou, Xue Li. 49-58 [doi]
- Rational Neural Networks for Approximating Graph Convolution Operator on Jump DiscontinuitiesZhiqian Chen, Feng Chen 0001, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu. 59-68 [doi]
- Learning Community Structure with Variational AutoencoderJun Jin Choong, Xin Liu 0020, Tsuyoshi Murata. 69-78 [doi]
- Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence PropagationSi-Yu Ding, Xu-Ying Liu, Min-Ling Zhang. 79-88 [doi]
- Sequential Pattern Sampling with Norm ConstraintsLamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Dominique Haoyuan Li, Arnaud Soulet. 89-98 [doi]
- Probabilistic Streaming Tensor DecompositionYishuai Du, Yimin Zheng, Kuang-Chih Lee, Shandian Zhe. 99-108 [doi]
- Hierarchical Hybrid Feature Model for Top-N Context-Aware RecommendationYingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang. 109-116 [doi]
- Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal RetrievalXiaolong Gong, Linpeng Huang, Fuwei Wang. 117-126 [doi]
- Learning Sequential Behavior Representations for Fraud DetectionJia Guo, Guannan Liu, Yuan Zuo, Junjie Wu. 127-136 [doi]
- Defending Against Adversarial Samples Without Security through ObscurityWenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing. 137-146 [doi]
- EDLT: Enabling Deep Learning for Generic Data ClassificationHuimei Han, Xingquan Zhu, Ying Li. 147-156 [doi]
- dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood PredictionHe Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow. 157-166 [doi]
- Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data MiningZhouyuan Huo, Xue Jiang, Heng Huang. 167-176 [doi]
- Representing Networks with 3D ShapesShengmin Jin, Reza Zafarani. 177-186 [doi]
- Cross-Domain Labeled LDA for Cross-Domain Text ClassificationBaoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu. 187-196 [doi]
- Self-Attentive Sequential RecommendationWang-Cheng Kang, Julian McAuley. 197-206 [doi]
- Explainable Time Series Tweaking via Irreversible and Reversible Temporal TransformationsIsak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis. 207-216 [doi]
- Utilizing In-store Sensors for Revisit PredictionSundong Kim, Jae-Gil Lee. 217-226 [doi]
- Fast Single-Class Classification and the Principle of Logit SeparationGil Keren, Sivan Sabato, Björn W. Schuller. 227-236 [doi]
- Summarizing Network Processes with Network-Constrained Boolean Matrix FactorizationFurkan Kocayusufoglu, Minh X. Hoang, Ambuj K. Singh. 237-246 [doi]
- SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data FusionChaozhuo Li, Senzhang Wang, Lifang He 0001, Philip S. Yu, Yanbo Liang, Zhoujun Li. 247-256 [doi]
- Accelerating Experimental Design by Incorporating Experimenter HunchesCheng Li 0003, Santu Rana, Sunil Gupta, Vu Nguyen 0001, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson. 257-266 [doi]
- Concept Mining via EmbeddingKeqian Li, Hanwen Zha, Yu Su 0001, Xifeng Yan. 267-276 [doi]
- A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile GamesXi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang. 277-286 [doi]
- Enhancing Very Fast Decision Trees with Local Split-Time PredictionsViktor Losing, Heiko Wersing, Barbara Hammer. 287-296 [doi]
- Collective Human Behavior in Cascading System: Discovery, Modeling and ApplicationsYunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui 0001, Chaoming Song, Wenwu Zhu 0001. 297-306 [doi]
- ResumeNet: A Learning-Based Framework for Automatic Resume Quality AssessmentYong Luo, Huaizheng Zhang, YongJie Wang, Yonggang Wen, Xinwen Zhang. 307-316 [doi]
- Discovering Reliable Dependencies from Data: Hardness and Improved AlgorithmsPanagiotis Mandros, Mario Boley, Jilles Vreeken. 317-326 [doi]
- Tell me Something My Friends do not Know: Diversity Maximization in Social NetworksAntonis Matakos, Aristides Gionis. 327-336 [doi]
- Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization ApproachQingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong. 337-346 [doi]
- Maximally Consistent Sampling and the Jaccard Index of Probability DistributionsRyan Moulton, Yunjiang Jiang. 347-356 [doi]
- Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android ApplicationsAnnamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang. 357-366 [doi]
- Collaborative Translational Metric LearningChanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu. 367-376 [doi]
- Privacy-Preserving Temporal Record LinkageThilina Ranbaduge, Peter Christen. 377-386 [doi]
- SuperPart: Supervised Graph Partitioning for Record LinkageRussell Reas, Steve Ash, Rob Barton, Andrew Borthwick. 387-396 [doi]
- Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph DiscoveryPolina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti. 397-406 [doi]
- DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving ClusteringBenjamin Schelling, Claudia Plant. 407-416 [doi]
- ProSecCo: Progressive Sequence Mining with Convergence GuaranteesSacha Servan-Schreiber, Matteo Riondato, Emanuel Zgraggen. 417-426 [doi]
- Local Low-Rank Hawkes Processes for Temporal User-Item InteractionsJin Shang, Mingxuan Sun. 427-436 [doi]
- Multi-label Learning with Label EnhancementRuifeng Shao, Ning Xu, Xin Geng. 437-446 [doi]
- Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme ImbalanceShiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz. 447-456 [doi]
- GINA: Group Gender Identification Using Privacy-Sensitive Audio DataJiaxing Shen, Oren Lederman, Jiannong Cao, Florian Berg, ShaoJie Tang, Alex Pentland. 457-466 [doi]
- Deep Headline Generation for Clickbait DetectionKai Shu, Suhang Wang, Thai Le, Dongwon Lee 0001, Huan Liu 0001. 467-476 [doi]
- Multi-task Sparse Metric Learning for Monitoring Patient Similarity ProgressionQiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang. 477-486 [doi]
- A Blended Deep Learning Approach for Predicting User Intended ActionsFei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan. 487-496 [doi]
- Interactive Unknowns Recommendation in E-Learning SystemsShan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu. 497-506 [doi]
- The Impact of Environmental Stressors on Human TraffickingSabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton. 507-516 [doi]
- Multi-label Answer Aggregation Based on Joint Matrix FactorizationJinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang 0035, Guoqiang Xiao, Maozu Guo. 517-526 [doi]
- Semi-Supervised Anomaly Detection with an Application to Water AnalyticsVincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis. 527-536 [doi]
- Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic FeaturesJunxiang Wang, Yuyang Gao, Andreas Züfle, Jingyuan Yang, Liang Zhao. 537-546 [doi]
- Human-Centric Urban Transit Evaluation and PlanningGuojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo. 547-556 [doi]
- A United Approach to Learning Sparse Attributed Network EmbeddingHao Wang, Enhong Chen, Qi Liu 0003, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang. 557-566 [doi]
- Deep Structure Learning for Fraud DetectionHaibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang. 567-576 [doi]
- ASTM: An Attentional Segmentation Based Topic Model for Short TextsJiamiao Wang, Ling Chen 0006, Lu Qin, Xindong Wu. 577-586 [doi]
- A Reinforcement Learning Framework for Explainable RecommendationXiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie 0001. 587-596 [doi]
- Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase ExtractionYanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong. 597-606 [doi]
- Bug Localization via Supervised Topic ModelingYaojing Wang, Yuan Yao 0001, Hanghang Tong, Xuan Huo, Min Li, Feng Xu 0007, Jian Lu 0001. 607-616 [doi]
- Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order DispatchingZhaodong Wang, Zhiwei Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu. 617-626 [doi]
- A Low Rank Weighted Graph Convolutional Approach to Weather PredictionTyler Wilson, Pang-Ning Tan, Lifeng Luo. 627-636 [doi]
- Robust Cascade Reconstruction by Steiner Tree SamplingHan Xiao, Çigdem Aslay, Aristides Gionis. 637-646 [doi]
- Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience DataXin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin. 647-656 [doi]
- Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and InsightsCarl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han 0001. 657-666 [doi]
- Towards Interpretation of Recommender Systems with Sorted Explanation PathsFan Yang, Ninghao Liu, Suhang Wang, Xia Hu. 667-676 [doi]
- LEEM: Lean Elastic EM for Gaussian Mixture Model via Bounds-Based FilteringShuai Yang, Xipeng Shen. 677-686 [doi]
- Collapsed Variational Inference for Nonparametric Bayesian Group Factor AnalysisSikun Yang, Heinz Koeppl. 687-696 [doi]
- DE-RNN: Forecasting the Probability Density Function of Nonlinear Time SeriesKyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun-Kyung Lee. 697-706 [doi]
- Online Dictionary Learning with ConfidenceShan You, Chang Xu, Chao Xu 0006. 707-716 [doi]
- MuVAN: A Multi-view Attention Network for Multivariate Temporal DataYe Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang. 717-726 [doi]
- Adversarially Learned Anomaly DetectionHoussam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar. 727-736 [doi]
- SINE: Scalable Incomplete Network EmbeddingDaokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang. 737-746 [doi]
- Image-Enhanced Multi-level Sentence Representation Net for Natural Language InferenceKun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu. 747-756 [doi]
- CADEN: A Context-Aware Deep Embedding Network for Financial Opinions MiningLiang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin 0001. 757-766 [doi]
- Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional NetworkXi Zhang, Jingyuan Chou, Fei Wang. 767-776 [doi]
- Chinese Medical Concept Normalization by Using Text and Comorbidity Network EmbeddingYizhou Zhang, Xiaojun Ma, Guojie Song. 777-786 [doi]
- Billion-Scale Network Embedding with Iterative Random ProjectionZiwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu 0001. 787-796 [doi]
- Zero-Shot Learning: An Energy Based ApproachTianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen. 797-806 [doi]
- Deep Learning Based Scalable Inference of Uncertain OpinionsXujiang Zhao, Feng Chen, Jin-Hee Cho. 807-816 [doi]
- Dynamic Truth Discovery on Numerical DataShi Zhi, Fan Yang, Zheyi Zhu, Qi Li 0012, Zhaoran Wang, Jiawei Han 0001. 817-826 [doi]
- Independent Feature and Label Components for Multi-label ClassificationYongjian Zhong, Chang Xu, Bo Du, Lefei Zhang. 827-836 [doi]
- Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive SpeedsYan Zhu 0014, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh. 837-846 [doi]
- Fast Rectangle Counting on Massive NetworksRong Zhu, Zhaonian Zou, Jianzhong Li. 847-856 [doi]
- NetGist: Learning to Generate Task-Based Network SummariesSorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash. 857-862 [doi]
- Maximizing the Diversity of Exposure in a Social NetworkÇigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis. 863-868 [doi]
- Semi-Supervised Community Detection Using Structure and SizeArjun Bakshi, Srinivasan Parthasarathy, Kannan Srinivasan. 869-874 [doi]
- Heterogeneous Hyper-Network EmbeddingInci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain 0001, Jiayu Zhou. 875-880 [doi]
- Accurate Causal Inference on Discrete DataKailash Budhathoki, Jilles Vreeken. 881-886 [doi]
- A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial MarketsPhilippe Chatigny, Rongbo Chen, Jean-Marc Patenaude, Shengrui Wang. 887-892 [doi]
- Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow PredictionCen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, XuLei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng. 893-898 [doi]
- DrugCom: Synergistic Discovery of Drug Combinations Using Tensor DecompositionHuiyuan Chen, Jing Li. 899-904 [doi]
- Cost Effective Multi-label Active Learning via Querying SubexamplesXia Chen 0004, Guoxian Yu, Carlotta Domeniconi, Jun Wang 0035, Zhao Li, Zili Zhang. 905-910 [doi]
- Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUsYewang Chen, Lida Zhou, Nizar Bouguila, Bineng Zhong, Fei Wu, Zhen Lei, Jixiang Du, Hailin Li. 911-916 [doi]
- Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care UnitWeitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li. 917-922 [doi]
- Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes ProcessesJayesh Choudhari, Anirban Dasgupta 0001, Indrajit Bhattacharya, Srikanta Bedathur. 923-928 [doi]
- Signed Graph Convolutional NetworksTyler Derr, Yao Ma 0001, Jiliang Tang. 929-934 [doi]
- Outlier Detection in Urban Traffic Flow DistributionsYoucef Djenouri, Arthur Zimek, Marco Chiarandini. 935-940 [doi]
- The HyperKron Graph Model for Higher-Order FeaturesNicole Eikmeier, Arjun S. Ramani, David F. Gleich. 941-946 [doi]
- Using Balancing Terms to Avoid Discrimination in ClassificationSimon Enni, Ira Assent. 947-952 [doi]
- SedanSpot: Detecting Anomalies in Edge StreamsDhivya Eswaran, Christos Faloutsos. 953-958 [doi]
- Heterogeneous Data Integration by Learning to Rerank Schema MatchesAvigdor Gal, Haggai Roitman, Roee Shraga. 959-964 [doi]
- Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging ScenariosShaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh. 965-970 [doi]
- DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word CorporaRobert Giaquinto, Arindam Banerjee. 971-976 [doi]
- Multi-level Hypothesis Testing for Populations of Heterogeneous NetworksGuilherme Gomes, Vinayak Rao, Jennifer Neville. 977-982 [doi]
- Multi-view Feature Selection for Heterogeneous Face RecognitionJie Gui, Ping Li. 983-988 [doi]
- Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell OrdersTian Guo, Albert Bifet, Nino Antulov-Fantulin. 989-994 [doi]
- Differentially Private Prescriptive AnalyticsHaripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh. 995-1000 [doi]
- A General Cross-Domain Recommendation Framework via Bayesian Neural NetworkJia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He. 1001-1006 [doi]
- A Self-Organizing Tensor Architecture for Multi-view ClusteringLifang He 0001, Chun-Ta Lu, Yong Chen, Jiawei Zhang, LinLin Shen, Philip S. Yu, Fei Wang. 1007-1012 [doi]
- Estimating Latent Relative Labeling Importances for Multi-label LearningShuo He, Lei Feng, Li Li. 1013-1018 [doi]
- Characteristic Subspace Learning for Time Series ClassificationYuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng. 1019-1024 [doi]
- Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K RecommendationYun He, Haochen Chen, Ziwei Zhu, James Caverlee. 1025-1030 [doi]
- Confident Kernel Sparse Coding and Dictionary LearningBabak Hosseini, Barbara Hammer. 1031-1036 [doi]
- Highly Parallel Sequential Pattern Mining on a Heterogeneous PlatformYu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, Ming-Syan Chen. 1037-1042 [doi]
- A Harmonic Motif Modularity Approach for Multi-layer Network Community DetectionLing Huang, Chang-Dong Wang, Hong-Yang Chao. 1043-1048 [doi]
- Learning Semantic Features for Software Defect Prediction by Code Comments EmbeddingXuan Huo, Yang Yang, Ming Li, De-Chuan Zhan. 1049-1054 [doi]
- DeepDiffuse: Predicting the 'Who' and 'When' in CascadesMohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan. 1055-1060 [doi]
- Interpretable Word Embeddings for Medical DomainKishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang. 1061-1066 [doi]
- FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost PreservationFei Jiang, Lei Zheng, Jin Xu 0002, Philip S. Yu. 1067-1072 [doi]
- Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance HardnessAhmedul Kabir, Carolina Ruiz, Sergio A. Alvarez. 1073-1078 [doi]
- Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer SubtypingTianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen 0001, John Quackenbush, Wei Ding 0003. 1079-1084 [doi]
- Time-Discounting Convolution for Event Sequences with Ambiguous TimestampsTakayuki Katsuki, Takayuki Osogami, Akira Koseki, Masaki Ono, Michiharu Kudo, Masaki Makino, Atsushi Suzuki. 1085-1090 [doi]
- Volatility Drift Prediction for Transactional Data StreamsYun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie. 1091-1096 [doi]
- Summarizing Graphs at Multiple Scales: New TrendsDanai Koutra, Jilles Vreeken, Francesco Bonchi. 1097 [doi]
- Fast Tucker Factorization for Large-Scale Tensor CompletionDongha Lee, Jaehyung Lee, Hwanjo Yu. 1098-1103 [doi]
- Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative ModelingWonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon. 1104-1109 [doi]
- Next Point-of-Interest Recommendation with Temporal and Multi-level Context AttentionRanzhen Li, Yanyan Shen, Yanmin Zhu. 1110-1115 [doi]
- Transfer Hawkes Processes with Content InformationTianbo Li, Pengfei Wei, Yiping Ke. 1116-1121 [doi]
- DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GANSwee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici. 1122-1127 [doi]
- Privacy-Preserving Multi-task LearningKunpeng Liu, Nitish Uplavikar, Wei Jiang, Yanjie Fu. 1128-1133 [doi]
- Distribution Preserving Multi-task Regression for Spatio-Temporal DataXi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami. 1134-1139 [doi]
- TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial NetworksXinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang. 1140-1145 [doi]
- Deep Discriminative Features Learning and Sampling for Imbalanced Data ProblemYi-Hsun Liu, Chien-Liang Liu, Shin-Mu Tseng. 1146-1151 [doi]
- D-CARS: A Declarative Context-Aware Recommender SystemRosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao. 1152-1157 [doi]
- Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog RecommendationHuifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, Zhongzhi Shi. 1158-1163 [doi]
- Deep Heterogeneous Autoencoders for Collaborative FilteringYukun Ma, Jiu Xu, Björn Stenger, Chen Liu, Yu Hirate. 1164-1169 [doi]
- Text Segmentation on Multilabel Documents: A Distant-Supervised ApproachSaurav Manchanda, George Karypis. 1170-1175 [doi]
- Spatial Contextualization for Closed Itemset MiningAltobelli B. Mantuan, Leandro Augusto Frata Fernandes. 1176-1181 [doi]
- Deep Knowledge Tracing and Dynamic Student Classification for Knowledge TracingSein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie. 1182-1187 [doi]
- Robust Densest Subgraph DiscoveryAtsushi Miyauchi, Akiko Takeda. 1188-1193 [doi]
- Improving Deep Forest by Confidence ScreeningMing Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou. 1194-1199 [doi]
- Query-Efficient Black-Box Attack by Active LearningPengcheng Li, Jinfeng Yi, Lijun Zhang. 1200-1205 [doi]
- Predicted Edit Distance Based Clustering of Gene SequencesSakti Pramanik, A. K. M. Tauhidul Islam, Shamik Sural. 1206-1211 [doi]
- Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis ApproachXiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen. 1212-1217 [doi]
- Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender SystemsJin Shang, Mingxuan Sun, Kevyn Collins-Thompson. 1218-1223 [doi]
- T2S: Domain Adaptation Via Model-Independent Inverse Mapping and Model ReuseZhi-Yu Shen, Ming Li. 1224-1229 [doi]
- An Efficient Many-Class Active Learning Framework for Knowledge-Rich DomainsWeishi Shi, Qi Yu. 1230-1235 [doi]
- Record2Vec: Unsupervised Representation Learning for Structured RecordsAdelene Y. L. Sim, Andrew Borthwick. 1236-1241 [doi]
- Multi-label Adversarial PerturbationsQingquan Song, Haifeng Jin, Xiao Huang, Xia Hu. 1242-1247 [doi]
- Clustered Lifelong Learning Via Representative Task SelectionGan Sun, Yang Cong, Yu Kong, Xiaowei Xu. 1248-1253 [doi]
- Entire Regularization Path for Sparse Nonnegative Interaction ModelMirai Takayanagi, Yasuo Tabei, Hiroto Saigo. 1254-1259 [doi]
- Doc2Cube: Allocating Documents to Text Cube Without Labeled DataFangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang 0001, Tim Hanratty, Lance M. Kaplan, Jiawei Han 0001. 1260-1265 [doi]
- Graph Pattern Mining and Learning through User-Defined RelationsCarlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro 0001, Wagner Meira Jr.. 1266-1271 [doi]
- Robust Distributed Anomaly Detection Using Optimal Weighted One-Class Random ForestsYu-Lin Tsou, Hong-Min Chu, Cong Li, Shao-Wen Yang. 1272-1277 [doi]
- Sparse Non-linear CCA through Hilbert-Schmidt Independence CriterionViivi Uurtio, Sahely Bhadra, Juho Rousu. 1278-1283 [doi]
- Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix FactorizationQi Wang, Pang-Ning Tan, Jiayu Zhou. 1284-1289 [doi]
- Partial Multi-view Clustering via Consistent GANQianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu 0001. 1290-1295 [doi]
- EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity PredictionQitian Wu, Chaoqi Yang, Xiaofeng Gao, Peng He, Guihai Chen. 1296-1301 [doi]
- DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character RecognitionTie-Qiang Wang, Cheng-Lin Liu. 1302-1307 [doi]
- Multiple Co-clusteringsXing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang 0035, Zhiwen Yu 0002, Zili Zhang. 1308-1313 [doi]
- Uncluttered Domain Sub-Similarity Modeling for Transfer RegressionPengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong. 1314-1319 [doi]
- Finding Maximal Significant Linear Representation between Long Time SeriesJiaye Wu, Yang Wang 0041, Peng Wang, Jian Pei, Wei Wang. 1320-1325 [doi]
- eOTD: An Efficient Online Tucker Decomposition for Higher Order TensorsHouping Xiao, Fei Wang, Fenglong Ma, Jing Gao. 1326-1331 [doi]
- Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence ModelYiqun Xiao, Jiaxun Cai, Yang Yang 0030, Hai Zhao, Hongbin Shen. 1332-1337 [doi]
- Unsupervised User Identity Linkage via Factoid EmbeddingWei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim. 1338-1343 [doi]
- A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing DatasetsYiqun Xie, Han Bao, Shashi Shekhar, Joseph K. Knight. 1344-1349 [doi]
- Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit ApproachDoris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han 0001. 1350-1355 [doi]
- Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing RecommendationYuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong. 1356-1361 [doi]
- Enhancing Question Understanding and Representation for Knowledge Base Relation DetectionZihan Xu, Hai-Tao Zheng, Zuoyou Fu, Wei Wang 0138. 1362-1367 [doi]
- A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based ModelsDeqing Yang, Zikai Guo, Ziyi Wang, Juyang Jiang, Yanghua Xiao, Wei Wang. 1368-1373 [doi]
- Adaptive Affinity Learning for Accurate Community DetectionFanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng. 1374-1379 [doi]
- A Unified Theory of the Mobile Sequential Recommendation ProblemZeyang Ye, Keli Xiao, Yuefan Deng. 1380-1385 [doi]
- An Integrated Model for Crime Prediction Using Temporal and Spatial FactorsFei Yi, Zhiwen Yu 0001, Fuzhen Zhuang, Xiao Zhang, Hui Xiong. 1386-1391 [doi]
- Coherent Graphical Lasso for Brain Network DiscoveryHang Yin, Xiangnan Kong, Xinyue Liu. 1392-1397 [doi]
- Feature-Induced Partial Multi-label LearningGuoxian Yu, Xia Chen 0004, Carlotta Domeniconi, Jun Wang 0035, Zhao Li, Zili Zhang, Xindong Wu 0001. 1398-1403 [doi]
- Superlinear Convergence of Randomized Block Lanczos AlgorithmQiaochu Yuan, Ming Gu, Bo Li. 1404-1409 [doi]
- Neural Sentence-Level Sentiment Classification with Heterogeneous SupervisionZhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie. 1410-1415 [doi]
- A Machine Reading Comprehension-Based Approach for Featured Snippet ExtractionChen Zhang, Xuyuanyu Zhang, Hao Wang. 1416-1421 [doi]
- Similarity-Based Active Learning for Image Classification Under Class ImbalanceChuanhai Zhang, Wallapak Tavanapong, Gavin Kijkul, Johnny Wong, Piet C. de Groen, Jung-Hwan Oh. 1422-1427 [doi]
- Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree PredictionJianguo Zhang, Ji Wang, Lifang He 0001, Zhao Li, Philip S. Yu. 1428-1433 [doi]
- Heterogeneous Embedding Propagation for Large-Scale E-Commerce User AlignmentVincent W. Zheng, Mo Sha 0002, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang. 1434-1439 [doi]
- Robust Regression via Online Feature Selection Under Adversarial Data CorruptionXuchao Zhang, Shuo Lei, Liang Zhao 0002, Arnold P. Boedihardjo, Chang-Tien Lu. 1440-1445 [doi]
- Variational Bayesian Inference for Robust Streaming Tensor Factorization and CompletionZheng Zhang, Cole Hawkins. 1446-1451 [doi]
- Forecasting Wavelet Transformed Time Series with Attentive Neural NetworksYi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao. 1452-1457 [doi]
- Online CP Decomposition for Sparse TensorsShuo Zhou, Sarah M. Erfani, James Bailey. 1458-1463 [doi]
- Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge ClassificationYang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang. 1464-1469 [doi]
- Evaluating Top-k Meta Path Queries on Large Heterogeneous Information NetworksZichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang 0001, Haoci Zhang. 1470-1475 [doi]
- Binarized attributed network embeddingHong Yang, Shirui Pan, Peng Zhang 0001, Ling Chen 0006, Defu Lian, Chengqi Zhang. 1476-1481 [doi]