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 | 19 | 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 | 6 | 2020 |
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 | 6 | 2019 |
On feature interactions identified by Shapley values of binary classification games S Tripathi, N Hemachandra, P Trivedi stat 1050, 12, 2020 | 5 | 2020 |
(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 | 4 | 2020 |
Scalable linear classifiers based on exponential loss function S Tripathi, N Hemachandra Proceedings of the ACM India Joint International Conference on Data Science …, 2018 | 3 | 2018 |
An Intraoperative Telemedicine Program to Improve Perioperative Quality Measures: The ACTFAST-3 Randomized Clinical Trial CR King, S Gregory, BA Fritz, TP Budelier, AB Abdallah, A Kronzer, ... JAMA Network Open 6 (9), e2332517-e2332517, 2023 | 2 | 2023 |
Equilibrium sets of some queues N Hemachandra, S Tripathi, K Patil Technical Report. http://www. ieor. iitb. ac. in/files/EqSetsTechReport. pdf, 2015 | 2 | 2015 |
Algorithmic Bias in Machine Learning Based Delirium Prediction S Tripathi, BA Fritz, MS Avidan, Y Chen, CR King arXiv preprint arXiv:2211.04442, 2022 | 1 | 2022 |
Deep Learning to Jointly Schema Match, Impute, and Transform Databases S Tripathi, BA Fritz, M Abdelhack, MS Avidan, Y Chen, CR King arXiv preprint arXiv:2207.03536, 2022 | 1 | 2022 |
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues M Abdelhack, J Zhang, S Tripathi, BA Fritz, D Felsky, MS Avidan, Y Chen, ... arXiv preprint arXiv:2107.08574, 2021 | 1 | 2021 |
Multi-view representation learning for tabular data integration using inter-feature relationships S Tripathi, BA Fritz, M Abdelhack, MS Avidan, Y Chen, CR King Journal of Biomedical Informatics, 104602, 2024 | | 2024 |
Contrastive learning: Big Data Foundations and Applications S Tripathi, CR King Proceedings of the 7th Joint International Conference on Data Science …, 2024 | | 2024 |
Social Vulnerability and Surgery Outcomes: A Cross-sectional Analysis M Abdelhack, S Tripathi, Y Chen, MS Avidan, CR King | | 2023 |
Equilibrium points and equilibrium sets of some queues N Hemachandra, K Patil, S Tripathi Queueing Systems 96 (3), 245-284, 2020 | | 2020 |
GANs for learning from very high class conditional noisy labels S Tripathi, N Hemachandra arXiv preprint arXiv:2010.09577, 2020 | | 2020 |
Postoperative Mortality Prediction with and Without the Use of Intraoperative Features M Abdelhack, CR King, BA Fritz, S Tripathi, Y Chen, M Avidan AMIA, 2020 | | 2020 |
Attribute noise robust binary classification A Petety, S Tripathi, N Hemachandra arXiv preprint arXiv:1911.07875, 2019 | | 2019 |
Multi-View Representation Learning to Schema Match Databases S Tripathi, BA Fritz, M Abdelhack, MS Avidan, Y Chen, CR King Available at SSRN 4567954, 0 | | |
Label noise robustness and feature subset selection in classification discriminative and generative approaches S Tripathi Mumbai, 0 | | |