| 2017 | Selection of Negative Samples for One-class Matrix Factorization. | Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin |
| 2017 | Hash-Based Feature Learning for Incomplete Continuous-Valued Data. | Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, C. Emi Fergus, Nicholas K. Skaff, Patricia A. Soranno |
| 2017 | Concept Drift Detection with Hierarchical Hypothesis Testing. | Shujian Yu, Zubin Abraham |
| 2017 | Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. | Muhammad Yousefnezhad, Daoqiang Zhang |
| 2017 | Active Learning of Classification Models with Likert-Scale Feedback. | Yanbing Xue, Milos Hauskrecht |
| 2017 | Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. | Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga |
| 2017 | Back Matter. | |
| 2017 | Front Matter. | |
| 2017 | Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. | Liang Wu, Jundong Li, Xia Hu, Huan Liu |
| 2017 | Automatic Frankensteining: Creating Complex Ensembles Autonomously. | Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme |
| 2017 | Exploiting Hierarchical Structures for Unsupervised Feature Selection. | Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu |
| 2017 | Signed Network Embedding in Social Media. | Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu |
| 2017 | Using a Random Forest to Inspire a Neural Network and Improving on It. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2017 | ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. | Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein |
| 2017 | Discovering bursts revisited: guaranteed optimization of the model parameters. | Nikolaj Tatti |
| 2017 | Indexing and classifying gigabytes of time series under time warping. | Chang Wei Tan, Geoffrey I. Webb, Franois Petitjean |
| 2017 | Robust Map Matching for Heterogeneous Data via Dominance Decompositions. | Martin P. Seybold |
| 2017 | Error Metrics for Learning Reliable Manifolds from Streaming Data. | Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola |
| 2017 | Model-based von Mises-Fisher Co-clustering with a Conscience. | Aghiles Salah, Mohamed Nadif |
| 2017 | Biclustering: An application of Dual Topic Models. | Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy |
| 2017 | Targeted matrix completion. | Natali Ruchansky, Mark Crovella, Evimaria Terzi |
| 2017 | FACETS: Adaptive Local Exploration of Large Graphs. | Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau |
| 2017 | Polyadic Regression and its Application to Chemogenomics. | Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun |
| 2017 | Graph-based semi-supervised learning for relational networks. | Leto Peel |
| 2017 | Pruning Decision Trees via Max-Heap Projection. | Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye |