| DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation L Cui, H Seo, M Tabar, F Ma, S Wang, D Lee Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 152 | 2020 |
| Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers M Tabar, H Park, S Winkler, D Lee, A Barman-Adhikari, A Yadav Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 14 | 2020 |
| A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting M Tabar, J Gluck, A Goyal, F Jiang, D Morr, A Kehs, D Lee, DP Hughes, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 12 | 2021 |
| Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy M Tabar, W Jung, A Yadav, OW Chavez, A Flores, D Lee Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 3 | 2022 |
| WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records M Tabar, W Jung, A Yadav, OW Chavez, A Flores, D Lee | 2 | 2022 |
| Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors M Tabar, D Lee, DP Hughes, A Yadav Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12608 …, 2022 | 1 | 2022 |
| Ameliorating farmer suicides by predicting crop price trends using a deep learning approach M Tabar, CY Hsu, H Guo, A Bagherzadehkhorasani, A Yadav ECAI 2020 International Workshop on Artificial Intelligence for a Fair, Just …, 2020 | 1 | 2020 |
