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Arghya Datta
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Journal Articles
- 2021
- [j2]Arghya Datta
, Noah R. Flynn
, Dustyn A. Barnette
, Keith F. Woeltje
, Grover P. Miller, S. Joshua Swamidass:
Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort. PLoS Comput. Biol. 17(7) (2021) - [j1]Arghya Datta
, Matthew K. Matlock, Na Le Dang
, Thiago C. Moulin, Keith F. Woeltje
, Elizabeth L. Yanik
, Sanjay Joshua Swamidass
:
'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism. IEEE J. Biomed. Health Informatics 25(6): 2204-2214 (2021)
Conference and Workshop Papers
- 2023
- [c5]Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan:
Measuring and Mitigating Local Instability in Deep Neural Networks. ACL (Findings) 2023: 2810-2823 - [c4]Arghya Datta, Sayak Chakrabarty:
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis. NeurIPS 2023 - 2022
- [c3]Arghya Datta, S. Joshua Swamidass:
Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations. ICAART (3) 2022: 645-654 - 2021
- [c2]Arghya Datta
, Noah R. Flynn
, S. Joshua Swamidass:
Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks. IJCNN 2021: 1-8 - 2019
- [c1]Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass
:
Deep learning long-range information in undirected graphs with wave networks. IJCNN 2019: 1-8
Informal and Other Publications
- 2023
- [i4]Arghya Datta
, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan:
Measuring and Mitigating Local Instability in Deep Neural Networks. CoRR abs/2305.10625 (2023) - [i3]Arghya Datta, Sayak Chakrabarty:
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis. CoRR abs/2311.05046 (2023) - 2021
- [i2]Arghya Datta
, S. Joshua Swamidass:
Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations. CoRR abs/2106.00720 (2021) - 2018
- [i1]Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass:
Deep learning long-range information in undirected graphs with wave networks. CoRR abs/1810.12153 (2018)
Coauthor Index
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
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