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ORCID15th ICDM 2015: Atlantic City, NJ, USA
- Charu C. Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu:
2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-9504-5
Regular Papers
- Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield
:
Efficient Graphlet Counting for Large Networks. 1-10 - Grey Ballard, Tamara G. Kolda, Ali Pinar, C. Seshadhri:
Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search. 11-20 - Biao Chang, Feida Zhu, Enhong Chen, Qi Liu:
Information Source Detection via Maximum A Posteriori Estimation. 21-30 - Chien-Wei Chang, Po-An Yang, Ming-Han Lyu, Kun-Ta Chuang:
Influential Sustainability on Social Networks. 31-40 - Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang:
Towards Frequent Subgraph Mining on Single Large Uncertain Graphs. 41-50 - Yi-Ling Chen, Ming-Syan Chen, Philip S. Yu:
Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks. 51-60 - Yong Chen, Hui Zhang, Junjie Wu, Xingguang Wang, Rui Liu, Mengxiang Lin:
Modeling Emerging, Evolving and Fading Topics Using Dynamic Soft Orthogonal NMF with Sparse Representation. 61-70 - Zhenyu Chen, Yiqiang Chen, Xingyu Gao, Shuangquan Wang, Lisha Hu, Chenggang Clarence Yan, Nicholas D. Lane, Chunyan Miao:
Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning. 71-80 - Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh:
Learning Predictive Substructures with Regularization for Network Data. 81-90 - Vinay Deolalikar:
Jackknifing Documents and Additive Smoothing for Naive Bayes with Scarce Data. 91-100 - Thang N. Dinh, Xiang Li, My T. Thai:
Network Clustering via Maximizing Modularity: Approximation Algorithms and Theoretical Limits. 101-110 - Lennart Downar, Wouter Duivesteijn:
Exceptionally Monotone Models - The Rank Correlation Model Class for Exceptional Model Mining. 111-120 - Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis:
Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery. 121-130 - Aubrey Gress, Ian Davidson:
Accurate Estimation of Generalization Performance for Active Learning. 131-140 - Chu Guan, Xinjiang Lu, Xiaolin Li, Enhong Chen, Wenjun Zhou, Hui Xiong:
Discovery of College Students in Financial Hardship. 141-150 - Nika Haghtalab, Aron Laszka, Ariel D. Procaccia, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Monitoring Stealthy Diffusion. 151-160 - Zheng Han, Haifeng Chen, Tan Yan, Geoff Jiang:
Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems. 161-170 - Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding Multiple Stable Clusterings. 171-180 - Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Learning Label Specific Features for Multi-label Classification. 181-190 - Tsuyoshi Idé, Amit Dhurandhar:
Informative Prediction Based on Ordinal Questionnaire Data. 191-200 - Mohamed Kafsi, Matthias Grossglauser, Patrick Thiran:
Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation. 201-210 - Zhao Kang, Chong Peng, Qiang Cheng:
Robust PCA Via Nonconvex Rank Approximation. 211-220 - Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos:
Automatic Taxonomy Extraction from Bipartite Graphs. 221-230 - Huayu Li, Richang Hong, Shiai Zhu, Yong Ge:
Point-of-Interest Recommender Systems: A Separate-Space Perspective. 231-240 - Huayu Li, Rongcheng Lin, Richang Hong, Yong Ge:
Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews. 241-250 - Yu-Kun Li, Min-Ling Zhang, Xin Geng:
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning. 251-260 - Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. 261-270 - Liyuan Liu, Linli Xu, Zhen Wang, Enhong Chen:
Community Detection Based on Structure and Content: A Content Propagation Perspective. 271-280 - Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie:
Mining Indecisiveness in Customer Behaviors. 281-290 - Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang:
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. 291-300 - Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang:
A Unified Gradient Regularization Family for Adversarial Examples. 301-309 - Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai, Yijun Sun:
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. 310-319 - Takazumi Matsumoto, Man Lung Yiu:
Accelerating Exact Similarity Search on CPU-GPU Systems. 320-329 - Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel:
Ensemble Kernel Mean Matching. 330-338 - Leto Peel, Aaron Clauset:
Predicting Sports Scoring Dynamics with Restoration and Anti-Persistence. 339-348 - Chenwei Ran, Wei Shen, Jianyong Wang, Xuan Zhu:
Domain-Specific Knowledge Base Enrichment Using Wikipedia Tables. 349-358 - Saber Salah, Reza Akbarinia, Florent Masseglia:
Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data. 359-368 - Shahriar Shariat, Burkay Orten, Ali Dasdan:
Online Model Evaluation in a Large-Scale Computational Advertising Platform. 369-378 - Lei Shi, Hanghang Tong, Xinzhu Mu:
BrainQuest: Perception-Guided Brain Network Comparison. 379-388 - Dongjin Song, David A. Meyer, Dacheng Tao:
Top-k Link Recommendation in Social Networks. 389-398 - Constantine Alexander Vitt, Hui Xiong:
The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector. 399-408 - Isabel Valera, Manuel Gomez-Rodriguez:
Modeling Adoption and Usage of Competing Products. 409-418 - Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen:
Experimental Design with Multiple Kernels. 419-428 - Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han:
Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation. 429-438 - Lijun Wang, Ming Dong, Alexander Kotov:
Multi-level Approximate Spectral Clustering. 439-448 - Yu Ting Wen, Kae-Jer Cho, Wen-Chih Peng, Jinyoung Yeo, Seung-won Hwang:
KSTR: Keyword-Aware Skyline Travel Route Recommendation. 449-458 - Fangzhao Wu, Yongfeng Huang:
Collaborative Multi-domain Sentiment Classification. 459-468 - Wei Xiong, Bo Du, Lefei Zhang, Ruimin Hu, Wei Bian, Jialie Shen, Dacheng Tao:
R2FP: Rich and Robust Feature Pooling for Mining Visual Data. 469-478 - Yi Xu, Yilin Zhu, Zhongfei Zhang, Yaqing Zhang, Philip S. Yu:
Convex Approximation to the Integral Mixture Models Using Step Functions. 479-488 - Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. 489-498 - Jingyuan Yang, Chuanren Liu, Mingfei Teng, Hui Xiong, March Liao, Vivian Zhu:
Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations. 499-508 - Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li:
An Aggressive Graph-Based Selective Sampling Algorithm for Classification. 509-518 - Yang Yang, Jie Tang:
Beyond Query: Interactive User Intention Understanding. 519-528 - Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li:
Sparse Online Relative Similarity Learning. 529-538 - Quanming Yao, James T. Kwok, Wenliang Zhong:
Fast Low-Rank Matrix Learning with Nonconvex Regularization. 539-548 - Muhammad Yousefnezhad, Daoqiang Zhang:
Weighted Spectral Cluster Ensemble. 549-558 - Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang:
From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. 559-568 - Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo:
Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. 569-578 - Tao Zeng, Shuiwang Ji:
Deep Convolutional Neural Networks for Multi-instance Multi-task Learning. 579-588 - Dell Zhang, Jun Wang, Xiaoxue Zhao, Xiaoling Wang:
A Bayesian Hierarchical Model for Comparing Average F1 Scores. 589-598 - Jiawei Zhang, Philip S. Yu:
Multiple Anonymized Social Networks Alignment. 599-608 - Li Zhang, Keli Xiao, Qi Liu, Yefan Tao, Yuefan Deng:
Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective. 609-618 - Yao Zhang, Abhijin Adiga, Anil Vullikanti, B. Aditya Prakash:
Controlling Propagation at Group Scale on Networks. 619-628 - Yu Zhang:
Parallel Multi-task Learning. 629-638 - Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan:
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. 639-648 - Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi:
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. 649-658 - Rong Zhu, Zhaonian Zou, Jianzhong Li:
Top-k Reliability Search on Uncertain Graphs. 659-668 - Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, Ke Xu:
Complementary Aspect-Based Opinion Mining Across Asymmetric Collections. 669-678
Short Papers
- Kais Allab, Lazhar Labiod, Mohamed Nadif:
Simultaneous Semi-NMF and PCA for Clustering. 679-684 - Aris Anagnostopoulos, Mara Sorella:
Learning a Macroscopic Model of Cultural Dynamics. 685-690 - Christos Anagnostopoulos, Peter Triantafillou:
Learning Set Cardinality in Distance Nearest Neighbours. 691-696 - Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts, Sean M. Fitzhugh:
Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]. 697-702 - Abhishek Bafna, Jenna Wiens:
Automated Feature Learning: Mining Unstructured Data for Useful Abstractions. 703-708 - Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin:
Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. 709-714 - Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong:
On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. 715-720 - Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun:
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. 721-726 - Peter Christen, Dinusha Vatsalan, Qing Wang:
Efficient Entity Resolution with Adaptive and Interactive Training Data Selection. 727-732 - Rocco De Rosa, Francesco Orabona, Nicolò Cesa-Bianchi:
The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams. 733-738 - Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni:
Dissecting Regional Weather-Traffic Sensitivity Throughout a City. 739-744 - Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
A Parameter-Free Approach for Mining Robust Sequential Classification Rules. 745-750 - Tao-Yang Fu, Zhen Lei, Wang-Chien Lee:
Patent Citation Recommendation for Examiners. 751-756 - Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou:
CNL: Collective Network Linkage Across Heterogeneous Social Platforms. 757-762 - Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi:
Population Synthesis via k-Nearest Neighbor Crossover Kernel. 763-768 - Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li:
Detecting Overlapping Communities from Local Spectral Subspaces. 769-774 - Jin Huang, Rui Zhang, Jeffrey Xu Yu:
Scalable Hypergraph Learning and Processing. 775-780 - Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos:
A General Suspiciousness Metric for Dense Blocks in Multimodal Data. 781-786 - Anuj Karpatne, Vipin Kumar:
Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances. 787-792 - Saurabh Kataria, Arvind Agarwal:
Supervised Topic Models for Microblog Classification. 793-798 - Ankush Khandelwal, Varun Mithal, Vipin Kumar:
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. 799-804 - Keigo Kimura, Mineichi Kudo:
Variable Selection for Efficient Nonnegative Tensor Factorization. 805-810 - Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan:
Transfer Learning via Relational Type Matching. 811-816 - Ludmila I. Kuncheva, Mikel Galar:
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier. 817-822 - Guang-He Lee, Shou-De Lin:
LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. 823-828 - Jaekoo Lee, Gunn Kim, Sungroh Yoon:
Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression. 829-834 - Mu-Chu Lee, Wei-Lin Chiang, Chih-Jen Lin:
Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems. 835-840 - Bo Li, Yevgeniy Vorobeychik, Muqun Li, Bradley A. Malin:
Iterative Classification for Sanitizing Large-Scale Datasets. 841-846 - Yuemeng Li, Xintao Wu, Aidong Lu:
Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition. 847-852 - Xiang Li, Charles X. Ling, Huaimin Wang:
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. 853-858 - Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang:
DRN: Bringing Greedy Layer-Wise Training into Time Dimension. 859-864 - Xin Li, Guandong Xu, Enhong Chen, Lin Li:
Learning User Preferences across Multiple Aspects for Merchant Recommendation. 865-870 - Qing Liao, Naiyang Guan, Qian Zhang:
Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation. 871-876 - Hongfu Liu, Yun Fu:
Clustering with Partition Level Side Information. 877-882 - Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu:
Station Site Optimization in Bike Sharing Systems. 883-888 - Yu Liu, Martin Ester, Bo Hu, David W. Cheung:
Spatio-Temporal Topic Models for Check-in Data. 889-894 - Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht:
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. 895-900 - Charalampos Mavroforakis, Michael Mathioudakis, Aristides Gionis:
Absorbing Random-Walk Centrality: Theory and Algorithms. 901-906 - Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar:
Personalized Grade Prediction: A Data Mining Approach. 907-912 - Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao:
CrowdTC: Crowdsourced Taxonomy Construction. 913-918 - Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti:
Outcomes Prediction via Time Intervals Related Patterns. 919-924 - Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum:
Experience-Aware Item Recommendation in Evolving Review Communities. 925-930 - Ahmed Najjar, Christian Gagné, Daniel Reinharz:
Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases. 931-936 - Naoki Otani, Yukino Baba, Hisashi Kashima:
Quality Control for Crowdsourced Hierarchical Classification. 937-942 - Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun:
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. 943-948 - Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task Assignment Optimization in Collaborative Crowdsourcing. 949-954 - Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh:
Differentially Private Random Forest with High Utility. 955-960 - Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu:
Finding Time-Critical Responses for Information Seeking in Social Media. 961-966 - Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh:
Nonparametric Poisson Factorization Machine. 967-972 - Jianqiang Shen, Burkay Orten, Sahin Cem Geyik, Daniel Liu, Shahriar Shariat, Fang Bian, Ali Dasdan:
From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding. 973-978 - Olivia Simpson, C. Seshadhri, Andrew McGregor:
Catching the Head, Tail, and Everything in Between: A Streaming Algorithm for the Degree Distribution. 979-984 - Shivam Srivastava, Shiladitya Pande, Sayan Ranu:
Geo-Social Clustering of Places from Check-in Data. 985-990 - Nikolaj Tatti:
Hierarchies in Directed Networks. 991-996 - Leonardo Vilela Teixeira, Renato Martins Assunção, Rosangela Helena Loschi:
A Generative Spatial Clustering Model for Random Data through Spanning Trees. 997-1002 - Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. 1003-1008 - Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan:
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. 1009-1014 - Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. 1015-1020 - Dawei Wang, Wei Ding:
A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events. 1021-1026 - Deqing Wang, Hui Zhang, Rui Liu:
GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix. 1027-1032 - Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme:
Sequential Model-Free Hyperparameter Tuning. 1033-1038 - Zhiang Wu, Youquan Wang, Yaqiong Wang, Junjie Wu, Jie Cao, Lu Zhang:
Spammers Detection from Product Reviews: A Hybrid Model. 1039-1044 - Hong Xie, John C. S. Lui:
A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems. 1045-1050 - Chang Xu, Jie Zhang:
Towards Collusive Fraud Detection in Online Reviews. 1051-1056 - Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu:
Learning Career Mobility and Human Activity Patterns for Job Change Analysis. 1057-1062 - Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Enhong Chen:
Feature Selection with Integrated Relevance and Redundancy Optimization. 1063-1068 - Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon:
Forensic Style Analysis with Survival Trajectories. 1069-1074 - Deqing Yang, Yanghua Xiao, Yangqiu Song, Wei Wang:
Semantic-Based Recommendation Across Heterogeneous Domains. 1075-1080 - Pei Yang, Jingrui He:
A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity. 1081-1086 - Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan, Wan Zou:
Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data. 1087-1092 - Shaodan Zhai, Chenyang Zhao, Tian Xia, Shaojun Wang:
A Multi-label Ensemble Method Based on Minimum Ranking Margin Maximization. 1093-1098 - Jie Zhang, Zhi Wei, Zhenyu Yan, Abhishek Pani:
Collaborated Online Change-Point Detection in Sparse Time Series for Online Advertising. 1099-1104 - Qian Zhang, Lefei Zhang, Bo Du, Wei Zheng, Wei Bian, Dacheng Tao:
MMFE: Multitask Multiview Feature Embedding. 1105-1110 - Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Towards Mining Trapezoidal Data Streams. 1111-1116 - Yuanyang Zhang, Bernie J. Daigle Jr., Mitchell J. Cohen, Linda R. Petzold:
A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome. 1117-1122 - Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu:
Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. 1123-1128 - Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley:
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. 1129-1134 - Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He:
Rare Category Detection on Time-Evolving Graphs. 1135-1140 - Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He:
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. 1141-1146
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