Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort A Datta, NR Flynn, DA Barnette, KF Woeltje, GP Miller, SJ Swamidass PLoS computational biology 17 (7), e1009053, 2021 | 39 | 2021 |
"Black Box" to "Conversational" Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism A Datta, MK Matlock, N Le Dang, T Moulin, KF Woeltje, EL Yanik, ... IEEE journal of biomedical and health informatics, 2020 | 34 | 2020 |
Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam DA Barnette, MA Schleiff, A Datta, N Flynn, SJ Swamidass, GP Miller Toxicology letters 338, 10-20, 2021 | 19 | 2021 |
Deep learning long-range information in undirected graphs with wave networks MK Matlock, A Datta, N Le Dang, K Jiang, SJ Swamidass 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 18 | 2019 |
Cal-net: Jointly learning classification and calibration on imbalanced binary classification tasks A Datta, NR Flynn, SJ Swamidass 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 7 | 2021 |
Fair-Net: a network architecture for reducing performance disparity between identifiable sub-populations A Datta, SJ Swamidass arXiv preprint arXiv:2106.00720, 2021 | 6 | 2021 |
Na Le Dang, Kevin Jiang, and S Joshua Swamidass. Deep learning long-range information in undirected graphs with wave networks MK Matlock, A Datta IJCNN, 0 | 4 | |
Measuring and Mitigating Local Instability in Deep Neural Networks A Datta, S Nandi, J Xu, GV Steeg, H Xie, A Kumar, A Galstyan Findings of the Association for Computational Linguistics (ACL) 2023, 2023 | 3 | 2023 |
Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data A Datta Washington University in St. Louis, 2021 | | 2021 |