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cs.LG2026
Inference-Time Decision Calibration for Temporal Classification
Arthur Chagas, Arthur Buzelin, Yan Aquino +4
Temporal classification errors are often treated as representation failures, but they can also arise from how available evidence is converted into decisions. This paper proposes a…
cs.LG2025
Transferring Clinical Knowledge into ECGs Representation
Jose Geraldo Fernandes, Luiz Facury de Souza, Pedro Robles Dutenhefner +2
Deep learning models have shown high accuracy in classifying electrocardiograms (ECGs), but their black box nature hinders clinical adoption due to a lack of trust and interpretabi…