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
25 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 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
4 2023 (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 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 151, 104602, 2024
3 2024 Contrastive learning: Big Data Foundations and Applications S Tripathi, CR King
Proceedings of the 7th Joint International Conference on Data Science …, 2024
3 2024 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
3 2022 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 Social vulnerability and surgery outcomes: a cross-sectional analysis M Abdelhack, S Tripathi, Y Chen, MS Avidan, CR King
BMC Public Health 24 (1), 1907, 2024
2 2024 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
2 2021 Equilibrium sets of some 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 GANs for learning from very high class conditional noisy labels S Tripathi, N Hemachandra
arXiv preprint arXiv:2010.09577, 2020
1 2020 Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial BA Fritz, CR King, M Abdelhack, Y Chen, A Kronzer, J Abraham, ...
British Journal of Anaesthesia 133 (5), 1042-1050, 2024
2024 Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: The TECTONICS Randomized Clinical Trial CR King, BA Fritz, SH Gregory, TP Budelier, A Ben Abdallah, A Kronzer, ...
medRxiv, 2024.05. 21.24307593, 2024
2024 Equilibrium points and equilibrium sets of some N Hemachandra, K Patil, S Tripathi
Queueing Systems 96 (3), 245-284, 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 
N. HemachandraProfessor, IEOR, IIT BombayEmail verificata su iitb.ac.in
