AINeutralarXiv – CS AI · 8h ago6/10
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Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment
Researchers propose Dys-XAI, an influence-based explainability framework that makes deep learning predictions for dysarthria severity assessment interpretable by linking decisions to similar training examples. The method uses gradient-based influence approximations to identify supportive and competing samples, with validation experiments confirming that removing influential samples systematically alters predictions, addressing a critical gap between model performance and clinical adoptability.