Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach

no code implementations • 27 Feb 2024 • Matthias Boeker, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Hugo L. Hammer

A \gls{lstm} trained on the soft cross-entropy outperformed conventional sleep detection algorithms, other neural network architectures and loss functions in accuracy and model calibration.

Weakly-supervised Learning