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Sandhya Tripathi
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Interpretable feature subset selection: A Shapley value based approach
S Tripathi, N Hemachandra, P Trivedi
2020 IEEE International Conference on Big Data (Big Data), 5463-5472, 2020
62020
Cost Sensitive Learning in the Presence of Symmetric Label Noise
S Tripathi, N Hemachandra
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 15-28, 2019
52019
On Feature Interactions Identified by Shapley Values of Binary Classification Games
S Tripathi, N Hemachandra, P Trivedi
arXiv preprint arXiv:2001.03956, 2020
32020
Scalable linear classifiers based on exponential loss function
S Tripathi, N Hemachandra
Proceedings of the ACM India Joint International Conference on Data Science …, 2018
32018
(Un) fairness in Post-operative Complication Prediction Models
S Tripathi, BA Fritz, M Abdelhack, MS Avidan, Y Chen, CR King
arXiv preprint arXiv:2011.02036, 2020
22020
Attribute noise robust binary classification
A Petety, S Tripathi, N Hemachandra
arXiv preprint arXiv:1911.07875, 2019
12019
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
M Abdelhack, J Zhang, S Tripathi, B Fritz, M Avidan, Y Chen, C King
arXiv preprint arXiv:2107.08574, 2021
2021
Equilibrium points and equilibrium sets of some GI / M / 1 queues
N Hemachandra, K Patil, S Tripathi
Queueing Systems, 1-40, 2020
2020
GANs for learning from very high class conditional noisy labels
S Tripathi, N Hemachandra
arXiv preprint arXiv:2010.09577, 2020
2020
Attribute Noise Robust Binary Classification (Student Abstract)
A Petety, S Tripathi, N Hemachandra
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13897 …, 2020
2020
Equilibrium Sets of Some GI/M/1 Queues (with more examples)
N Hemachandra, S Tripathi, K Patil
2016
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Articles 1–11