| 2019 | K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters. | Feiping Nie, Cheng-Long Wang, Xuelong Li |
| 2019 | A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. | Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg |
| 2019 | Earth Observations from a New Generation of Geostationary Satellites. | Ramakrishna R. Nemani |
| 2019 | Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. | Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath |
| 2019 | Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. | Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed |
| 2019 | Scalable Hierarchical Clustering with Tree Grafting. | Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum |
| 2019 | Interpretable and Steerable Sequence Learning via Prototypes. | Yao Ming, Panpan Xu, Huamin Qu, Liu Ren |
| 2019 | A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. | Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong |
| 2019 | HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. | Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville |
| 2019 | Online Transfer Learning for Concept Drifting Data Streams. | Helen McKay, Nathan Griffiths, Phillip Taylor, Theo Damoulas, Zhou Xu |
| 2019 | Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework. | Xiaoyang Ma, Lan Zhang, Lan Xu, Zhicheng Liu, Ge Chen, Zhili Xiao, Yang Wang, Zhengtao Wu |
| 2019 | Pairwise Comparisons with Flexible Time-Dynamics. | Lucas Maystre, Victor Kristof, Matthias Grossglauser |
| 2019 | Dynamic Modeling and Forecasting of Time-evolving Data Streams. | Yasuko Matsubara, Yasushi Sakurai |
| 2019 | Identifiability of Cause and Effect using Regularized Regression. | Alexander Marx, Jilles Vreeken |
| 2019 | Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks. | Charles H. Martin, Michael W. Mahoney |
| 2019 | Hierarchical Gating Networks for Sequential Recommendation. | Chen Ma, Peng Kang, Xue Liu |
| 2019 | Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery. | Paige Maas |
| 2019 | Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. | Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu |
| 2019 | Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. | John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler |
| 2019 | AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. | Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang |
| 2019 | AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018. | Zhipeng Luo, Jianqiang Huang, Ke Hu, Xue Li, Peng Zhang |
| 2019 | Efficient and Effective Express via Contextual Cooperative Reinforcement Learning. | Yexin Li, Yu Zheng, Qiang Yang |
| 2019 | Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. | Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu |
| 2019 | PrivPy: General and Scalable Privacy-Preserving Data Mining. | Yi Li, Wei Xu |
| 2019 | Automatic Dialogue Summary Generation for Customer Service. | Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, Jieping Ye |