Sandhya Tripathi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Binary Classification

Feature Subset Selection

Top Venues

Publications

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King
Multi-view representation learning for tabular data integration using inter-feature relationships. J. Biomed. Informatics 151 (2024)
Sandhya Tripathi, Christopher Ryan King
Contrastive learning: Big Data Foundations and Applications. COMAD/CODS (2024)
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Daniel Felsky, Michael Avidan, Yi-Xin Chen, Christopher Ryan King
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. Trans. Mach. Learn. Res. 2023 (2023)
Sandhya Tripathi, Bradley A. Fritz, Michael S. Avidan, Yixin Chen, Christopher R. King
Algorithmic Bias in Machine Learning Based Delirium Prediction. CoRR (2022)
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King
Deep Learning to Jointly Schema Match, Impute, and Transform Databases. CoRR (2022)
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher R. King
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. CoRR (2021)
Mohamed Abdelhack, Christopher R. King, Bradley A. Fritz, Sandhya Tripathi, Yixin Chen, Michael Avidan
Postoperative Mortality Prediction with and Without the Use of Intraoperative Features. AMIA (2020)
Sandhya Tripathi, N. Hemachandra, Prashant Trivedi
On Feature Interactions Identified by Shapley Values of Binary Classification Games. CoRR (2020)
Sandhya Tripathi, N. Hemachandra
GANs for learning from very high class conditional noisy labels. CoRR (2020)
Aditya Petety, Sandhya Tripathi, N. Hemachandra
Attribute Noise Robust Binary Classification (Student Abstract). AAAI (2020)
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King
(Un)fairness in Post-operative Complication Prediction Models. CoRR (2020)
Sandhya Tripathi, N. Hemachandra, Prashant Trivedi
Interpretable feature subset selection: A Shapley value based approach. IEEE BigData (2020)
N. Hemachandra, Kishor Patil, Sandhya Tripathi
Equilibrium points and equilibrium sets of some itGI/M/1 queues. Queueing Syst. Theory Appl. 96 (3-4) (2020)
Sandhya Tripathi, Nandyala Hemachandra
Cost Sensitive Learning in the Presence of Symmetric Label Noise. CoRR (2019)
Sandhya Tripathi, Nandyala Hemachandra
Cost Sensitive Learning in the Presence of Symmetric Label Noise. PAKDD (1) (2019)
Aditya Petety, Sandhya Tripathi, N. Hemachandra
Attribute noise robust binary classification. CoRR (2019)
Sandhya Tripathi, N. Hemachandra
Scalable linear classifiers based on exponential loss function. COMAD/CODS (2018)