Table of Contents

• Classifier Risk Estimation Under Limited Labeling ResourcesAnurag Kumar 0003, Bhiksha Raj. 3-15 [doi]
• Social Stream Classification with Emerging New LabelsXin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou. 16-28 [doi]
• Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label RulesMichael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz. 29-42 [doi]
• Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM PerspectiveAnusha Kasinikota, Balamurugan P., Shirish K. Shevade. 43-55 [doi]
• Sentiment Classification Using Neural Networks with Sentiment CentroidsMaoquan Wang, Shiyun Chen, Liang He. 56-67 [doi]
• Random Pairwise Shapelets ForestMohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu. 68-80 [doi]
• A Locally Adaptive Multi-Label k-Nearest Neighbor AlgorithmDengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang. 81-93 [doi]
• Classification with Reject Option Using Conformal PredictionHenrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström. 94-105 [doi]
• Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled DataLimin Wang, Shenglei Chen, Musa Mammadov. 106-117 [doi]
• Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge AdaptationYuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu. 118-129 [doi]
• Data Mining with Algorithmic TransparencyYan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu. 130-142 [doi]
• Cost-Sensitive Reference Pair Encoding for Multi-Label LearningYao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin. 143-155 [doi]
• Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention RecognitionDalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah. 156-168 [doi]
• Heterogeneous Domain Adaptation Based on Class Decomposition SchemesFirat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters, Shuang Zhou 0001, Pieter J. Collins. 169-182 [doi]
• A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention MechanismBuru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang. 183-195 [doi]
• Robust Semi-Supervised Learning on Multiple Networks with NoiseJunting Ye, Leman Akoglu. 196-208 [doi]
• \varepsilon ε -Distance Weighted Support Vector RegressionGe Ou, Yan Wang, Lan Huang, Wei Pang, George Macleod Coghill. 209-220 [doi]
• Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case StudyJianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen. 223-235 [doi]
• CAPED: Context-Aware Powerlet-Based Energy DisaggregationJingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao. 236-247 [doi]
• Rolling Forecasting Forward by Boosting Heterogeneous KernelsDi Zhang, Yunquan Zhang, Qiang Niu, Xingbao Qiu. 248-260 [doi]
• IDLP: A Novel Label Propagation Framework for Disease Gene PrioritizationYaogong Zhang, Yuan Wang, Jiahui Liu, Xiaohu Liu, Yuxiang Hong, Xin Fan, Yalou Huang. 261-272 [doi]
• Deep Learning for Forecasting Stock Returns in the Cross-SectionMasaya Abe, Hideki Nakayama. 273-284 [doi]
• Vine Copula-Based Asymmetry and Tail Dependence ModelingJia Xu, Longbing Cao. 285-297 [doi]
• Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine LearningJames Large, E. Kate Kemsley, Nikolaus Wellner, Ian Goodall, Anthony Bagnall. 298-309 [doi]
• Research and Application of Mapping Relationship Based on Learning Attention MechanismWanwan Jiang, Lingyu Xu, Jie Yu, Gaowei Zhang. 310-321 [doi]
• Human Identification via Unsupervised Feature Learning from UWB Radar DataJie Yin, Son N. Tran, Qing Zhang. 322-334 [doi]
• Prescriptive Analytics Through Constrained Bayesian OptimizationHaripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh. 335-347 [doi]
• Neighborhood Constraint Matrix Completion for Drug-Target Interaction PredictionXin Fan, Yuxiang Hong, Xiaohu Liu, Yaogong Zhang, Maoqiang Xie. 348-360 [doi]
• Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal AirflowStephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries. 361-372 [doi]
• Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail BankingYuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship. 373-385 [doi]
• GBTM: Graph Based Troubleshooting Method for Handling Customer Cases Using Storage System LogSubhendu Khatuya, Ajay Bakhshi, Jayanta Basak, Niloy Ganguly, Bivas Mitra. 386-398 [doi]
• Fusion of Modern and Tradition: A Multi-stage-Based Deep Network Approach for Head DetectionFu-Chun Hsu, Chih-Chieh Hung. 399-410 [doi]
• Learning Treatment Regimens from Electronic Medical RecordsKhanh Hung Hoang, Tu Bao Ho. 411-422 [doi]
• Mining POI Alias from Microblog ConversationsYihong Zhang, Lina Yao. 425-436 [doi]
• DyPerm: Maximizing Permanence for Dynamic Community DetectionPrerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty. 437-449 [doi]
• Mining User Behavioral Rules from Smartphone Data Through Association AnalysisIqbal H. Sarker, Flora Dilys Salim. 450-461 [doi]
• A Context-Aware Evaluation Method of Driving BehaviorYikai Zhai, Tianyu Wo, Xuelian Lin, Zhou Huang, Junyu Chen. 462-474 [doi]
• Measurement of Users' Experience on Online Platforms from Their Behavior LogsDeepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla. 475-487 [doi]
• Mining Human Periodic Behaviors Using Mobility Intention and Relative EntropyFeng Yi, Libo Yin, Hui-Wen, Hongsong Zhu, Limin Sun, Gang Li. 488-499 [doi]
• Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement LearningChuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, Tenglun Tan. 500-512 [doi]
• Learning Product Embedding from Multi-relational User BehaviorZhao Zhang, Weizheng Chen, Xiaoxuan Ren, Yan Zhang. 513-524 [doi]
• Vulnerability Assessment of Metro Systems Based on Dynamic Network StructureJun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou. 525-537 [doi]
• Visual Relation Extraction via Multi-modal Translation Embedding Based ModelZhichao Li, Yuping Han, Yajing Xu, Sheng Gao. 538-548 [doi]
• Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory StreamsZhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi. 551-563 [doi]
• An Unsupervised Boosting Strategy for Outlier Detection EnsemblesGuilherme O. Campos, Arthur Zimek, Wagner Meira Jr.. 564-576 [doi]
• DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly DetectionTeodora Sandra Buda, Bora Caglayan, Haytham Assem. 577-588 [doi]
• Anomaly Detection Technique Robust to Units and Scales of MeasurementSunil Aryal. 589-601 [doi]
• Automated Explanations of User-Expected Trends for Aggregate QueriesIbrahim A. Ibrahim, Xue Li, Xin Zhao, Sanad Al-Maskari, Abdullah M. Albarrak, Yanjun Zhang. 602-614 [doi]
• Social Spammer Detection: A Multi-Relational Embedding ApproachJun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu 0001, Guandong Xu. 615-627 [doi]
• Learning to Rank Items of Minimal Reviews Using Weak SupervisionYassien Shaalan, Xiuzhen Zhang, Jeffrey Chan. 631-643 [doi]
• Multimodal Mixture Density Boosting Network for Personality MiningNhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu. 644-655 [doi]
• Identifying Singleton Spammers via Spammer Group DetectionDheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan. 656-667 [doi]
• Adaptive Attention Network for Review Sentiment ClassificationChuantao Zong, Wenfeng Feng, Vincent W. Zheng, Hankz Hankui Zhuo. 668-680 [doi]
• Cross-Domain Sentiment Classification via a Bifurcated-LSTMJinlong Ji, Changqing Luo, Xuhui Chen, Lixing Yu, Pan Li. 681-693 [doi]