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Adaptive Evidential Meta-Learning with Hyper-Conditioned Priors for Calibrated ECG Personalisation
Version 3
(Latest)
October 26, 2025 00:56
Adaptive Evidential Meta-Learning with Hyper-Conditioned Priors for Calibrated ECG Personalisation
This research addresses a fundamental gap in uncertainty calibration during electrocardiogram (ECG) model personalisation. We propose \emph{Adaptive Evidential Meta-Learning}, a framework that attaches a lightweight evidential head with hyper-network-conditioned priors …
Latest Version
Version 2
October 26, 2025 00:48
Adaptive Evidential Meta-Learning with Hyper-Conditioned Priors for Calibrated ECG Personalisation
This research addresses a fundamental gap in uncertainty calibration during electrocardiogram (ECG) model personalisation. We propose Adaptive Evidential Meta-Learning, a framework that attaches a lightweight evidential head with hyper-network-conditioned priors …
Version Notes: version 2
Version 1
October 19, 2025 03:25
Adaptive Evidential Meta-Learning with Hyper-Conditioned Priors for Calibrated ECG Personalisation
This research addresses a fundamental gap in uncertainty calibration during ECG model personalisation. We propose Adaptive Evidential Meta-Learning, a framework that attaches a lightweight evidential head with hyper-network-conditioned priors to …