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2020 – today
- 2024
[j3]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: 104602 (2024)- [c6]Sandhya Tripathi, Christopher Ryan King:
Contrastive learning: Big Data Foundations and Applications. COMAD/CODS 2024: 493-497 - 2023
- [j2]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) - 2022
- [i8]Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Deep Learning to Jointly Schema Match, Impute, and Transform Databases. CoRR abs/2207.03536 (2022) - [i7]Sandhya Tripathi, Bradley A. Fritz, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Algorithmic Bias in Machine Learning Based Delirium Prediction. CoRR abs/2211.04442 (2022) - 2021
- [i6]Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher Ryan King:
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. CoRR abs/2107.08574 (2021) - 2020
- [j1]N. Hemachandra, Kishor Patil, Sandhya Tripathi:
Equilibrium points and equilibrium sets of some itGI/M/1 queues. Queueing Syst. Theory Appl. 96(3-4): 245-284 (2020) - [c5]Aditya Petety, Sandhya Tripathi, N. Hemachandra:
Attribute Noise Robust Binary Classification (Student Abstract). AAAI 2020: 13897-13898 - [c4]Mohamed Abdelhack, Christopher Ryan King, Bradley A. Fritz, Sandhya Tripathi, Yixin Chen, Michael Avidan:
Postoperative Mortality Prediction with and Without the Use of Intraoperative Features. AMIA 2020 - [c3]Sandhya Tripathi, N. Hemachandra, Prashant Trivedi:
Interpretable feature subset selection: A Shapley value based approach. IEEE BigData 2020: 5463-5472 - [i5]Sandhya Tripathi, N. Hemachandra, Prashant Trivedi:
On Feature Interactions Identified by Shapley Values of Binary Classification Games. CoRR abs/2001.03956 (2020) - [i4]Sandhya Tripathi, N. Hemachandra:
GANs for learning from very high class conditional noisy labels. CoRR abs/2010.09577 (2020) - [i3]Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
(Un)fairness in Post-operative Complication Prediction Models. CoRR abs/2011.02036 (2020)
2010 – 2019
- 2019
- [c2]Sandhya Tripathi, Nandyala Hemachandra:
Cost Sensitive Learning in the Presence of Symmetric Label Noise. PAKDD (1) 2019: 15-28 - [i2]Sandhya Tripathi, Nandyala Hemachandra:
Cost Sensitive Learning in the Presence of Symmetric Label Noise. CoRR abs/1901.02271 (2019) - [i1]Aditya Petety, Sandhya Tripathi, N. Hemachandra:
Attribute noise robust binary classification. CoRR abs/1911.07875 (2019) - 2018
- [c1]Sandhya Tripathi, N. Hemachandra:
Scalable linear classifiers based on exponential loss function. COMAD/CODS 2018: 190-200
Coauthor Index
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