| 2019 | Coupled Clustering of Time-Series and Networks. | Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra |
| 2019 | Robust Factorization Machine: A Doubly Capped Norms Minimization. | Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2019 | Augmented Multi-Task Learning by Optimal Transport. | Boyang Liu, Pang-Ning Tan, Jiayu Zhou |
| 2019 | Spherical Principal Component Analysis. | Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang |
| 2019 | Deep Skip-Gram Networks for Text Classification. | Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li |
| 2019 | MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. | Li Lin, Lijie Wen, Jianmin Wang |
| 2019 | Linear Time Motif Discovery in Time Series. | Xiaosheng Li, Jessica Lin |
| 2019 | Collaborative Filtering with Noisy Ratings. | Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu |
| 2019 | A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. | Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han |
| 2019 | Characterizing Transactional Databases for Frequent Itemset Mining. | Christian Lezcano, Marta Arias |
| 2019 | Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. | Chandrashekhar Lavania, Jeff A. Bilmes |
| 2019 | Discovering and Controlling for Latent Confounds in Text Classification Using Adversarial Domain Adaptation. | Virgile Landeiro, Tuan Tran, Aron Culotta |
| 2019 | Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. | Hemank Lamba, Leman Akoglu |
| 2019 | GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems. | Sudhir B. Kylasa, Fred (Farbod) Roosta, Michael W. Mahoney, Ananth Grama |
| 2019 | Mining Maximal Induced Bicliques using Odd Cycle Transversals. | Kyle Kloster, Blair D. Sullivan, Andrew van der Poel |
| 2019 | Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. | Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang |
| 2019 | Deep Transfer Reinforcement Learning for Text Summarization. | Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy |
| 2019 | Instance Space Analysis for Unsupervised Outlier Detection. | Sevvandi Kandanaarachchi, Mario A. Muoz, Kate Smith-Miles |
| 2019 | We Are Not Your Real Parents: Telling Causal from Confounded using MDL. | David Kaltenpoth, Jilles Vreeken |
| 2019 | Calibrating Probability Estimation Trees using Venn-Abers Predictors. | Ulf Johansson, Tuwe Lfstrm, Henrik Bostrm |
| 2019 | Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. | Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar |
| 2019 | Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. | Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar |
| 2019 | Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. | Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar |
| 2019 | SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. | Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos |
| 2019 | Branch and Border: Partition-Based Change Detection in Multivariate Time Series. | Bryan Hooi, Christos Faloutsos |