AINeutralarXiv – CS AI · 18h ago6/10
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SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification
SafeECGMatch introduces a calibration-aware semi-supervised learning framework for ECG classification that addresses the critical challenge of handling out-of-distribution anomalies in unlabeled medical data. Using dual-branch time-frequency architecture with adaptive confidence calibration, the method achieves state-of-the-art accuracy while maintaining reliable OOD rejection, advancing trustworthy AI deployment in clinical diagnostics.