P. J. Aston

Good Practice Guide for quantifying uncertainties for machine learning models applied to photoplethysmography signals

P. Harris, C. Bench, M. Rinkevičius, V. Marozas, L. Coquelin, A. Thompson, et al.

This Good Practice Guide presents work done in the QUMPHY project (Uncertainty quantification for machine learning models applied to photoplethysmography signals) that considered both machine learning and uncertainty quantification for problems which used photoplethysmography (PP…Read more