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ORCID18th ICDM 2018: Singapore
- IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-9159-5
- Minghui Wu, Xindong Wu:
On Big Wisdom. 1-2 - C. Mohan:
Landscape of Practical Blockchain Systems and their Applications. 3-4 - Ramamohanarao Kotagiri:
Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening Using Machine Learning Techniques. 5 - Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel:
Blockchain Data Analytics. 6 - Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray:
Discourse Processing and Its Applications in Text Mining. 7 - Kai Ming Ting, Sunil Aryal
, Takashi Washio:
Which Outlier Detector Should I use? 8 - Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang:
On Multi-query Local Community Detection. 9-18 - Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik:
Realization of Random Forest for Real-Time Evaluation through Tree Framing. 19-28 - Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen:
Social Recommendation with Missing Not at Random Data. 29-38 - Penghe Chen, Yu Lu, Vincent W. Zheng, Yang Pian:
Prerequisite-Driven Deep Knowledge Tracing. 39-48 - Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li:
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. 49-58 - Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu:
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. 59-68 - Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Learning Community Structure with Variational Autoencoder. 69-78 - Si-Yu Ding, Xu-Ying Liu, Min-Ling Zhang:
Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation. 79-88 - Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Dominique Li, Arnaud Soulet:
Sequential Pattern Sampling with Norm Constraints. 89-98 - Yishuai Du, Yimin Zheng, Kuang-chih Lee, Shandian Zhe:
Probabilistic Streaming Tensor Decomposition. 99-108 - Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang:
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. 109-116 - Xiaolong Gong, Linpeng Huang, Fuwei Wang:
Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval. 117-126 - Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu:
Learning Sequential Behavior Representations for Fraud Detection. 127-136 - Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing:
Defending Against Adversarial Samples Without Security through Obscurity. 137-146 - Huimei Han, Xingquan Zhu, Ying Li:
EDLT: Enabling Deep Learning for Generic Data Classification. 147-156 - He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. 157-166 - Zhouyuan Huo, Xue Jiang, Heng Huang:
Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. 167-176 - Shengmin Jin, Reza Zafarani:
Representing Networks with 3D Shapes. 177-186 - Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. 187-196 - Wang-Cheng Kang, Julian J. McAuley:
Self-Attentive Sequential Recommendation. 197-206 - Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis:
Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. 207-216 - Sundong Kim, Jae-Gil Lee:
Utilizing In-store Sensors for Revisit Prediction. 217-226 - Gil Keren, Sivan Sabato, Björn W. Schuller:
Fast Single-Class Classification and the Principle of Logit Separation. 227-236 - Furkan Kocayusufoglu, Minh X. Hoang, Ambuj K. Singh:
Summarizing Network Processes with Network-Constrained Boolean Matrix Factorization. 237-246 - Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li:
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. 247-256 - Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson:
Accelerating Experimental Design by Incorporating Experimenter Hunches. 257-266 - Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Concept Mining via Embedding. 267-276 - Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. 277-286 - Viktor Losing, Heiko Wersing, Barbara Hammer:
Enhancing Very Fast Decision Trees with Local Split-Time Predictions. 287-296 - Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu:
Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. 297-306 - Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang:
ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. 307-316 - Panagiotis Mandros, Mario Boley, Jilles Vreeken:
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. 317-326 - Antonis Matakos, Aristides Gionis:
Tell me Something My Friends do not Know: Diversity Maximization in Social Networks. 327-336 - Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong:
Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach. 337-346 - Ryan Moulton, Yunjiang Jiang:
Maximally Consistent Sampling and the Jaccard Index of Probability Distributions. 347-356 - Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang:
Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications. 357-366 - Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. 367-376 - Thilina Ranbaduge, Peter Christen:
Privacy-Preserving Temporal Record Linkage. 377-386 - Russell Reas, Steve Ash, Rob Barton, Andrew Borthwick:
SuperPart: Supervised Graph Partitioning for Record Linkage. 387-396 - Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery. 397-406 - Benjamin Schelling, Claudia Plant:
DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering. 407-416 - Sacha Servan-Schreiber, Matteo Riondato, Emanuel Zgraggen:
ProSecCo: Progressive Sequence Mining with Convergence Guarantees. 417-426 - Jin Shang, Mingxuan Sun:
Local Low-Rank Hawkes Processes for Temporal User-Item Interactions. 427-436 - Ruifeng Shao, Ning Xu, Xin Geng:
Multi-label Learning with Label Enhancement. 437-446 - Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz:
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. 447-456 - Jiaxing Shen, Oren Lederman, Jiannong Cao, Florian Berg, Shaojie Tang, Alex Pentland:
GINA: Group Gender Identification Using Privacy-Sensitive Audio Data. 457-466 - Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu:
Deep Headline Generation for Clickbait Detection. 467-476 - Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang:
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. 477-486 - Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan:
A Blended Deep Learning Approach for Predicting User Intended Actions. 487-496 - Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu:
Interactive Unknowns Recommendation in E-Learning Systems. 497-506 - Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton:
The Impact of Environmental Stressors on Human Trafficking. 507-516 - Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label Answer Aggregation Based on Joint Matrix Factorization. 517-526 - Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis:
Semi-Supervised Anomaly Detection with an Application to Water Analytics. 527-536 - Junxiang Wang, Yuyang Gao, Andreas Züfle, Jingyuan Yang, Liang Zhao:
Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features. 537-546 - Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Human-Centric Urban Transit Evaluation and Planning. 547-556 - Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang:
A United Approach to Learning Sparse Attributed Network Embedding. 557-566 - Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang:
Deep Structure Learning for Fraud Detection. 567-576 - Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu:
ASTM: An Attentional Segmentation Based Topic Model for Short Texts. 577-586 - Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie:
A Reinforcement Learning Framework for Explainable Recommendation. 587-596 - Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong:
Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. 597-606 - Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu:
Bug Localization via Supervised Topic Modeling. 607-616 - Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu:
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. 617-626 - Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. 627-636 - Han Xiao, Çigdem Aslay, Aristides Gionis:
Robust Cascade Reconstruction by Steiner Tree Sampling. 637-646 - Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin:
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. 647-656 - Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. 657-666 - Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu:
Towards Interpretation of Recommender Systems with Sorted Explanation Paths. 667-676 - Shuai Yang, Xipeng Shen:
LEEM: Lean Elastic EM for Gaussian Mixture Model via Bounds-Based Filtering. 677-686 - Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. 687-696 - Kyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun Kyung Lee:
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series. 697-706 - Shan You, Chang Xu, Chao Xu:
Online Dictionary Learning with Confidence. 707-716 - Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang:
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. 717-726 - Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar:
Adversarially Learned Anomaly Detection. 727-736 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. 737-746 - Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu:
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. 747-756 - Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin:
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. 757-766 - Xi Zhang, Jingyuan Chou, Fei Wang:
Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network. 767-776 - Yizhou Zhang, Xiaojun Ma, Guojie Song:
Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. 777-786 - Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu:
Billion-Scale Network Embedding with Iterative Random Projection. 787-796 - Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen:
Zero-Shot Learning: An Energy Based Approach. 797-806 - Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning Based Scalable Inference of Uncertain Opinions. 807-816 - Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han:
Dynamic Truth Discovery on Numerical Data. 817-826 - Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang:
Independent Feature and Label Components for Multi-label Classification. 827-836 - Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh:
Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. 837-846 - Rong Zhu, Zhaonian Zou, Jianzhong Li:
Fast Rectangle Counting on Massive Networks. 847-856 - Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash:
NetGist: Learning to Generate Task-Based Network Summaries. 857-862 - Çigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis:
Maximizing the Diversity of Exposure in a Social Network. 863-868 - Arjun Bakshi, Srinivasan Parthasarathy, Kannan Srinivasan:
Semi-Supervised Community Detection Using Structure and Size. 869-874 - Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou:
Heterogeneous Hyper-Network Embedding. 875-880 - Kailash Budhathoki, Jilles Vreeken:
Accurate Causal Inference on Discrete Data. 881-886 - Philippe Chatigny, Rongbo Chen, Jean-Marc Patenaude, Shengrui Wang:
A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets. 887-892 - Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. 893-898 - Huiyuan Chen, Jing Li:
DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. 899-904 - Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang:
Cost Effective Multi-label Active Learning via Querying Subexamples. 905-910 - Yewang Chen, Lida Zhou, Nizar Bouguila, Bineng Zhong, Fei Wu, Zhen Lei, Ji-Xiang Du, Hailin Li:
Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs. 911-916 - Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li:
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. 917-922 - Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur:
Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. 923-928 - Tyler Derr, Yao Ma, Jiliang Tang:
Signed Graph Convolutional Networks. 929-934 - Youcef Djenouri, Arthur Zimek, Marco Chiarandini:
Outlier Detection in Urban Traffic Flow Distributions. 935-940 - Nicole Eikmeier, Arjun S. Ramani, David F. Gleich:
The HyperKron Graph Model for Higher-Order Features. 941-946 - Simon Enni, Ira Assent:
Using Balancing Terms to Avoid Discrimination in Classification. 947-952 - Dhivya Eswaran, Christos Faloutsos:
SedanSpot: Detecting Anomalies in Edge Streams. 953-958 - Avigdor Gal, Haggai Roitman, Roee Shraga:
Heterogeneous Data Integration by Learning to Rerank Schema Matches. 959-964 - Shaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh:
Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios. 965-970 - Robert A. Giaquinto, Arindam Banerjee:
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. 971-976 - Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. 977-982 - Jie Gui, Ping Li:
Multi-view Feature Selection for Heterogeneous Face Recognition. 983-988 - Tian Guo, Albert Bifet, Nino Antulov-Fantulin:
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. 989-994 - Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Differentially Private Prescriptive Analytics. 995-1000 - Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He:
A General Cross-Domain Recommendation Framework via Bayesian Neural Network. 1001-1006 - Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. 1007-1012 - Shuo He, Lei Feng, Li Li:
Estimating Latent Relative Labeling Importances for Multi-label Learning. 1013-1018 - Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng:
Characteristic Subspace Learning for Time Series Classification. 1019-1024 - Yun He, Haochen Chen, Ziwei Zhu, James Caverlee:
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. 1025-1030 - Babak Hosseini, Barbara Hammer:
Confident Kernel Sparse Coding and Dictionary Learning. 1031-1036 - Yu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, Ming-Syan Chen:
Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform. 1037-1042 - Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. 1043-1048 - Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan:
Learning Semantic Features for Software Defect Prediction by Code Comments Embedding. 1049-1054 - Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan:
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. 1055-1060 - Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang:
Interpretable Word Embeddings for Medical Domain. 1061-1066 - Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu:
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. 1067-1072 - Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez:
Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. 1073-1078 - Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding:
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. 1079-1084 - Takayuki Katsuki, Takayuki Osogami, Akira Koseki, Masaki Ono, Michiharu Kudo, Masaki Makino, Atsushi Suzuki:
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps. 1085-1090 - Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie:
Volatility Drift Prediction for Transactional Data Streams. 1091-1096 - Danai Koutra, Jilles Vreeken, Francesco Bonchi:
Summarizing Graphs at Multiple Scales: New Trends. 1097 - Dongha Lee, Jaehyung Lee, Hwanjo Yu:
Fast Tucker Factorization for Large-Scale Tensor Completion. 1098-1103 - Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon:
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. 1104-1109 - Ranzhen Li, Yanyan Shen, Yanmin Zhu:
Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention. 1110-1115 - Tianbo Li, Pengfei Wei, Yiping Ke:
Transfer Hawkes Processes with Content Information. 1116-1121 - Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici:
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. 1122-1127 - Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu:
Privacy-Preserving Multi-task Learning. 1128-1133 - Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami:
Distribution Preserving Multi-task Regression for Spatio-Temporal Data. 1134-1139 - Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang:
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. 1140-1145 - Yi-Hsun Liu, Chien-Liang Liu, Shin-Mu Tseng:
Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem. 1146-1151 - Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao:
D-CARS: A Declarative Context-Aware Recommender System. 1152-1157 - Huifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, Zhongzhi Shi:
Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation. 1158-1163 - Yukun Ma, Jiu Xu, Björn Stenger, Chen Liu, Yu Hirate:
Deep Heterogeneous Autoencoders for Collaborative Filtering. 1164-1169 - Saurav Manchanda, George Karypis:
Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. 1170-1175 - Altobelli B. Mantuan, Leandro Augusto Frata Fernandes:
Spatial Contextualization for Closed Itemset Mining. 1176-1181 - Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. 1182-1187 - Atsushi Miyauchi, Akiko Takeda:
Robust Densest Subgraph Discovery. 1188-1193 - Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou:
Improving Deep Forest by Confidence Screening. 1194-1199 - Pengcheng Li, Jinfeng Yi, Lijun Zhang:
Query-Efficient Black-Box Attack by Active Learning. 1200-1205 - Sakti Pramanik, A. K. M. Tauhidul Islam, Shamik Sural:
Predicted Edit Distance Based Clustering of Gene Sequences. 1206-1211 - Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen:
Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. 1212-1217 - Jin Shang, Mingxuan Sun, Kevyn Collins-Thompson:
Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems. 1218-1223 - Zhi-Yu Shen, Ming Li:
T2S: Domain Adaptation Via Model-Independent Inverse Mapping and Model Reuse. 1224-1229 - Weishi Shi, Qi Yu:
An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. 1230-1235 - Adelene Y. L. Sim, Andrew Borthwick:
Record2Vec: Unsupervised Representation Learning for Structured Records. 1236-1241 - Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-label Adversarial Perturbations. 1242-1247 - Gan Sun, Yang Cong, Yu Kong, Xiaowei Xu:
Clustered Lifelong Learning Via Representative Task Selection. 1248-1253 - Mirai Takayanagi, Yasuo Tabei, Hiroto Saigo:
Entire Regularization Path for Sparse Nonnegative Interaction Model. 1254-1259 - Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han:
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. 1260-1265 - Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr.:
Graph Pattern Mining and Learning through User-Defined Relations. 1266-1271 - Yu-Lin Tsou, Hong-Min Chu, Cong Li, Shao-Wen Yang:
Robust Distributed Anomaly Detection Using Optimal Weighted One-Class Random Forests. 1272-1277 - Viivi Uurtio, Sahely Bhadra, Juho Rousu:
Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion. 1278-1283 - Qi Wang, Pang-Ning Tan, Jiayu Zhou:
Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization. 1284-1289 - Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Partial Multi-view Clustering via Consistent GAN. 1290-1295 - Qitian Wu, Chaoqi Yang, Xiaofeng Gao, Peng He, Guihai Chen:
EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction. 1296-1301 - Tie-Qiang Wang, Cheng-Lin Liu:
DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition. 1302-1307 - Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang:
Multiple Co-clusterings. 1308-1313 - Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. 1314-1319 - Jiaye Wu, Yang Wang, Peng Wang, Jian Pei, Wei Wang:
Finding Maximal Significant Linear Representation between Long Time Series. 1320-1325 - Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao:
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. 1326-1331 - Yiqun Xiao, Jiaxun Cai, Yang Yang, Hai Zhao, Hong-Bin Shen:
Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model. 1332-1337 - Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. 1338-1343 - Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight:
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. 1344-1349 - Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han:
Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. 1350-1355 - Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong:
Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. 1356-1361 - Zihan Xu, Hai-Tao Zheng, Zuoyou Fu, Wei Wang:
Enhancing Question Understanding and Representation for Knowledge Base Relation Detection. 1362-1367 - Deqing Yang, Zikai Guo, Ziyi Wang, Juyang Jiang, Yanghua Xiao, Wei Wang:
A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based Models. 1368-1373 - Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng:
Adaptive Affinity Learning for Accurate Community Detection. 1374-1379 - Zeyang Ye, Keli Xiao, Yuefan Deng:
A Unified Theory of the Mobile Sequential Recommendation Problem. 1380-1385 - Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong:
An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. 1386-1391 - Hang Yin, Xiangnan Kong, Xinyue Liu:
Coherent Graphical Lasso for Brain Network Discovery. 1392-1397 - Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu:
Feature-Induced Partial Multi-label Learning. 1398-1403 - Qiaochu Yuan, Ming Gu, Bo Li:
Superlinear Convergence of Randomized Block Lanczos Algorithm. 1404-1409 - Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. 1410-1415 - Chen Zhang, Xuyuanyu Zhang, Hao Wang:
A Machine Reading Comprehension-Based Approach for Featured Snippet Extraction. 1416-1421 - Chuanhai Zhang, Wallapak Tavanapong, Gavin Kijkul, Johnny Wong, Piet C. de Groen, Jung-Hwan Oh:
Similarity-Based Active Learning for Image Classification Under Class Imbalance. 1422-1427 - Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu:
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. 1428-1433 - Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang:
Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. 1434-1439 - Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Online Feature Selection Under Adversarial Data Corruption. 1440-1445 - Zheng Zhang, Cole Hawkins:
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. 1446-1451 - Yi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao:
Forecasting Wavelet Transformed Time Series with Attentive Neural Networks. 1452-1457 - Shuo Zhou, Sarah M. Erfani, James Bailey:
Online CP Decomposition for Sparse Tensors. 1458-1463 - Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. 1464-1469 - Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang:
Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks. 1470-1475 - Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang:
Binarized attributed network embedding. 1476-1481
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