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Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in
  Automated Sleep Scoring

Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring

5 July 2022
Luigi Fiorillo
Davide Pedroncelli
Valentina Agostini
Paolo Favaro
F. Faraci
ArXivPDFHTML

Papers citing "Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring"

17 / 17 papers shown
Title
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with
  Uncertainty Estimates
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
Luigi Fiorillo
Paolo Favaro
F. Faraci
108
79
0
24 Aug 2021
Automatic sleep stage classification with deep residual networks in a
  mixed-cohort setting
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
A. N. Olesen
P. Jennum
Emmanuel Mignot
H. Sørensen
77
68
0
21 Aug 2020
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Huy P Phan
Oliver Y. Chén
M. Tran
P. Koch
Alfred Mertins
M. D. Vos
AI4TS
93
211
0
08 Jul 2020
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and
  Automated sleep staging
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
Antoine Guillot
F. Sauvet
E. During
Valentin Thorey
92
106
0
31 Oct 2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence
  Deep Learning Approach
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Sajad Mousavi
Fatemeh Afghah
U. R. Acharya
58
382
0
05 Mar 2019
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for
  Sequence-to-Sequence Automatic Sleep Staging
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
95
418
0
28 Sep 2018
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
58
225
0
05 Oct 2017
Deep Convolutional Neural Networks for Interpretable Analysis of EEG
  Sleep Stage Scoring
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
A. Vilamala
Kristoffer Hougaard Madsen
Lars Kai Hansen
64
138
0
02 Oct 2017
A deep learning architecture for temporal sleep stage classification
  using multivariate and multimodal time series
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAU
AI4TS
58
489
0
05 Jul 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
280
5,812
0
14 Jun 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
82
957
0
12 Mar 2017
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Hao Dong
A. Supratak
W. Pan
Chao Wu
Paul M. Matthews
Yike Guo
40
245
0
15 Oct 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
804
27,303
0
02 Dec 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
364
7,955
0
17 Aug 2015
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
736
9,290
0
06 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
432
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
1