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03/22/2023
Semi-supervised counterfactual explanations
Counterfactual explanations for machine learning models are used to find...
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03/22/2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
A trustworthy machine learning model should be accurate as well as expla...
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11/28/2022
Hierarchy-guided Model Selection for Time Series Forecasting
Generalizability of time series forecasting models depends on the qualit...
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05/04/2021
Intersection Patterns in Optimal Binary (5,3) Doubling Subspace Codes
Subspace codes are collections of subspaces of a projective space such t...
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07/27/2020
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail
Future of sustainable fashion lies in adoption of AI for a better unders...
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11/08/2019
