4 citations · 13 across the 8 of their papers we have counts for
3 papers · 1 filter
(Un)fairness in Post-operative Complication Prediction Models
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack +3
With the current ongoing debate about fairness, explainability and transparency of machine learning models, their application in high-impact clinical decision-making systems must b…
GANs for learning from very high class conditional noisy labels
Sandhya Tripathi, N Hemachandra
We use Generative Adversarial Networks (GANs) to design a class conditional label noise (CCN) robust scheme for binary classification. It first generates a set of correctly labelle…
Interpretable feature subset selection: A Shapley value based approach
Sandhya Tripathi, N. Hemachandra, Prashant Trivedi
For feature selection and related problems, we introduce the notion of classification game, a cooperative game, with features as players and hinge loss based characteristic functio…