| Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting A Rodriguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15393 …, 2021 | 106 | 2021 |
| Data-centric epidemic forecasting: A survey A Rodríguez, H Kamarthi, P Agarwal, J Ho, M Patel, S Sapre, BA Prakash arXiv preprint arXiv:2207.09370, 2022 | 16 | 2022 |
| Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, TM León, EL Murray, M Sun, LA White, LC Brooks, ... medRxiv, 2023 | 3 | 2023 |
| Concurrent neural tree and data preprocessing AutoML for image classification A Thite, M Dodda, A Liu, P Agarwal, J Zutty Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 3 | 2021 |
| Real-time anomaly detection in epidemic data streams P Agarwal, P Aluru, BA Prakash epiDAMIK 5.0: The 5th International workshop on Epidemiology meets Data …, 2022 | 1 | 2022 |
| Data-Centric Epidemic Forecasting: A Survey (preprint) A Rodríguez, H Kamarthi, P Agarwal, J Ho, M Patel, S Sapre, BA Prakash | | 2022 |
