Sandhya Tripathi

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

2022

Algorithmic Bias in Machine Learning Based Delirium Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning to Jointly Schema Match, Impute, and Transform Databases.

[BibT_eX]

[DOI]

CoRR, 2022

2021

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Equilibrium points and equilibrium sets of some itGI/M/1 queues.

[BibT_eX]

[DOI]

Kishor Patil

Queueing Syst. Theory Appl., 2020

(Un)fairness in Post-operative Complication Prediction Models.

[BibT_eX]

[DOI]

CoRR, 2020

GANs for learning from very high class conditional noisy labels.

[BibT_eX]

[DOI]

CoRR, 2020

On Feature Interactions Identified by Shapley Values of Binary Classification Games.

[BibT_eX]

[DOI]

Prashant Trivedi

CoRR, 2020

Interpretable feature subset selection: A Shapley value based approach.

[BibT_eX]

[DOI]

Prashant Trivedi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features.

[BibT_eX]

[DOI]

Mohamed Abdelhack

Proceedings of the AMIA 2020, 2020

Attribute Noise Robust Binary Classification (Student Abstract).

[BibT_eX]

[DOI]

Aditya Petety

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Attribute noise robust binary classification.

[BibT_eX]

[DOI]

Aditya Petety

CoRR, 2019

Cost Sensitive Learning in the Presence of Symmetric Label Noise.

[BibT_eX]

[DOI]

Nandyala Hemachandra

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Scalable linear classifiers based on exponential loss function.

[BibT_eX]

[DOI]