| Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances S He, X Li, T DelSole, P Ravikumar, A Banerjee AAAI Conference on Artificial Intelligence, 2021 | 40* | 2021 |
| Interpretable Predictive Modeling for Climate Variables with Weighted Lasso S He, X Li, V Sivakumar, A Banerjee AAAI Conference on Artificial Intelligence, 2019 | 7 | 2019 |
| Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration S He, X Li, L Trenary, BA Cash, T DelSole, A Banerjee AAAI Conference on Artificial Intelligence, 2022 | 6 | 2022 |
| Flight mode recognition method of the unmanned aerial vehicle based on telemetric data S He, D Liu, Y Peng Chinese Journal of Scientific Instrument, 11, 2016 | 6* | 2016 |
| Flight data anomaly detection and diagnosis with variable association change S He, H Huang, S Yoo, W Yan, F Xue, T Wang, C Xu Proceedings of the 36th Annual ACM Symposium on Applied Computing, 346-354, 2021 | 1 | 2021 |
| Machine Learning and Dynamical Models for Sub-seasonal Climate Forecasting S He, X Li, L Trenary, BA Cash, T DelSole, A Banerjee NeurIPS workshop on Machine Learning and the Physical Sciences, 2021 | 1 | 2021 |
| High-Dimensional Dependency Structure Learning for Physical Processes J Golmohammadi, I Ebert-Uphoff, S He, Y Deng, A Banerjee 2017 IEEE International Conference on Data Mining (ICDM), 883-888, 2017 | 1 | 2017 |
| Advancing Climate Science with Machine Learning S He University of Minnesota, 2022 | | 2022 |
| Land climate prediction using sea surface temperatures S He, X Li, V Sivakumar, A Banerjee 8th International Workshop on Climate Informatics, 2018 | | 2018 |
| Fault diagnosis for discrete monitoring data based on fusion algorithm H Sijie, P Yu, L Datong 2015 12th IEEE International Conference on Electronic Measurement …, 2015 | | 2015 |
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
