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

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

27 February 2024
M. Boeker
Vajira Thambawita
Michael Riegler
P. Halvorsen
Hugo Lewi Hammer
ArXivPDFHTML

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

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,134
0
06 Jun 2015
1