Hyperparameter choice strongly alters the quality and composition of Monte Carlo Dropout and IVON uncertainty estimates for PPG-based AF and blood pressure models, and per-class calibration can differ sharply from global calibration.
Blood pressure out of the office: its time has finally come.American Journal of Hypertension, 29(3):289–295, 2016
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Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
Hyperparameter choice strongly alters the quality and composition of Monte Carlo Dropout and IVON uncertainty estimates for PPG-based AF and blood pressure models, and per-class calibration can differ sharply from global calibration.