| 2019 | Preventing Rhino Poaching through Machine Learning. | Olga Liakhovich, Gabriel Domnguez-Conde |
| 2019 | Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. | Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch |
| 2019 | Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2019 | MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. | Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung |
| 2019 | DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery. | Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant J. Shenoy, Subhransu Maji |
| 2019 | The Unreasonable Effectiveness, and Difficulty, of Data in Healthcare. | Peter Lee |
| 2019 | Precipitation Nowcasting with Satellite Imagery. | Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, Dmitry Solomentsev |
| 2019 | Modeling Dwell Time Engagement on Visual Multimedia. | Hemank Lamba, Neil Shah |
| 2019 | Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. | Srijan Kumar, Xikun Zhang, Jure Leskovec |
| 2019 | Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. | Mathias Kraus, Stefan Feuerriegel |
| 2019 | Interpretable Knowledge Discovery Reinforced by Visual Methods. | Boris Kovalerchuk |
| 2019 | Paper Matching with Local Fairness Constraints. | Ari Kobren, Barna Saha, Andrew McCallum |
| 2019 | Constructing High Precision Knowledge Bases with Subjective and Factual Attributes. | Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore |
| 2019 | Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. | Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Mller, Panagiotis Karras |
| 2019 | Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. | Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki |
| 2019 | Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. | Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe |
| 2019 | DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks. | Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu |
| 2019 | Towards ML Engineering with TensorFlow Extended (TFX). | Konstantinos Katsiapis, Kevin Haas |
| 2019 | Nostalgin: Extracting 3D City Models from Historical Image Data. | Amol Kapoor, Hunter Larco, Raimondas Kiveris |
| 2019 | Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising. | Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen |
| 2019 | Auto-Keras: An Efficient Neural Architecture Search System. | Haifeng Jin, Qingquan Song, Xia Hu |
| 2019 | Latent Network Summarization: Bridging Network Embedding and Summarization. | Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra |
| 2019 | Smart Roles: Inferring Professional Roles in Email Networks. | Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider, Danai Koutra |
| 2019 | Graph-based Semi-Supervised & Active Learning for Edge Flows. | Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson |
| 2019 | The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |