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Bhavna Sharma

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#explainable ai Open access Sep 2026

From Comparing SHAP and LIME to Combining Them: A Faithfulness-Guided Fusion and Routing Framework with Actionable Counterfactuals for Healthcare and Financial Risk Prediction

Comparative studies of explainable AI in high-stakes tabular domains keep reaching the same conclusion: use a hybrid explanation approach that employs several explanation methods as needed. They stop, however, at that recommendation. They do not specify how to integrate the methods, which method to trust on a given mod...

Deepti Bansal, Bhavna Sharma · 0 citations

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