AINeutralarXiv – CS AI · 7h ago6/10
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Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification
Researchers introduce ERTS, an explainability-based training method that reduces computational costs for ECG classification by using attention map quality to identify which training samples are genuinely informative versus noisy. The approach demonstrates consistent performance improvements across multiple datasets while significantly lowering training expenses, offering practical efficiency gains for resource-constrained healthcare environments.