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A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
5 July 2017
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAU
AI4TS
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Papers citing
"A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series"
29 / 79 papers shown
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020
Shu Gong
Kaibo Xing
A. Cichocki
Junhua Li
VLM
401
88
0
22 Nov 2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
Journal of Artificial Intelligence Research (JAIR), 2020
K. Nikolaidis
Stein Kristiansen
T. Plagemann
V. Goebel
Knut Liestøl
...
G. Traaen
Britt Overland
Harriet Akre
L. Aakerøy
S. Steinshamn
167
4
0
21 Sep 2020
Automatic detection of microsleep episodes with deep learning
Frontiers in Neuroscience (Front. Neurosci.), 2020
A. Malafeev
Anneke Hertig-Godeschalk
David R. Schreier
J. Skorucak
J. Mathis
P. Achermann
265
17
0
07 Sep 2020
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
A. N. Olesen
P. Jennum
Emmanuel Mignot
H. Sørensen
189
81
0
21 Aug 2020
Uncovering the structure of clinical EEG signals with self-supervised learning
Journal of Neural Engineering (JNE), 2020
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
Denis A. Engemann
Alexandre Gramfort
224
242
0
31 Jul 2020
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Huy P Phan
Oliver Y. Chén
M. Tran
P. Koch
Alfred Mertins
M. D. Vos
AI4TS
429
276
0
08 Jul 2020
Deep transfer learning for improving single-EEG arousal detection
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
A. N. Olesen
P. Jennum
Emmanuel Mignot
H. Sørensen
268
14
0
10 Apr 2020
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul
Pichayoot Ouppaphan
Pitshaporn Leelaarporn
Payongkit Lakhan
Busarakum Chaitusaney
...
Ekapol Chuangsuwanich
Wei Chen
Huy Phan
Nat Dilokthanakul
Theerawit Wilaiprasitporn
297
1
0
08 Apr 2020
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis
K. Amaral
Zihan Li
Wei Ding
S. Crouter
Ping Chen
AI4TS
33
0
0
20 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
The Web Conference (WWW), 2020
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
220
23
0
29 Jan 2020
Self-supervised representation learning from electroencephalography signals
International Workshop on Machine Learning for Signal Processing (MLSP), 2019
Hubert J. Banville
Isabela Albuquerque
Aapo Hyvarinen
G. Moffat
Denis A. Engemann
Alexandre Gramfort
AI4TS
SSL
124
69
0
13 Nov 2019
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
IEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2019
Antoine Guillot
F. Sauvet
E. During
Valentin Thorey
575
125
0
31 Oct 2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Machine Learning in Health Care (MLHC), 2019
Irfan Al-Hussaini
Cao Xiao
M. P. M. Brandon Westover
Jimeng Sun
AI4TS
78
19
0
14 Oct 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
IEEE Transactions on Biomedical Engineering (IEEE TBME), 2019
Huy P Phan
Oliver Y. Chén
P. Koch
Zongqing Lu
Ian Mcloughlin
Alfred Mertins
M. D. Vos
379
135
0
30 Jul 2019
A-Phase classification using convolutional neural networks
Medical and Biological Engineering and Computing (MBEC), 2019
E. Arce-Santana
A. Alba
M. Méndez
V. Arce-Guevara
45
11
0
22 Jul 2019
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
IEEE Access (IEEE Access), 2019
S. Harada
Hideaki Hayashi
S. Uchida
GAN
212
22
0
17 May 2019
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
A. N. Olesen
Stanislas Chambon
Valentin Thorey
P. Jennum
Emmanuel Mignot
H. Sørensen
155
8
0
16 May 2019
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang
Lina Yao
Xianzhi Wang
Jessica J. M. Monaghan
David Mcalpine
Yu Zhang
3DV
337
146
0
10 May 2019
Multivariate Time Series Classification using Dilated Convolutional Neural Network
Omolbanin Yazdanbakhsh
S. Dick
123
37
0
05 May 2019
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG
H. Seo
S. Back
Seongju Lee
Deokhwan Park
Tae Kim
Kyoobin Lee
180
14
0
18 Feb 2019
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
366
1,155
0
16 Jan 2019
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
Stanislas Chambon
Valentin Thorey
P. Arnal
Emmanuel Mignot
Alexandre Gramfort
234
72
0
07 Dec 2018
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis
Navin Cooray
Fernando Andreotti
Christine Lo
M. Symmonds
M. Hu
M. D. Vos
137
80
0
12 Nov 2018
Sleep Arousal Detection from Polysomnography using the Scattering Transform and Recurrent Neural Networks
P. Warrick
Masun Nabhan Homsi
65
17
0
21 Oct 2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
IEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2018
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
510
501
0
28 Sep 2018
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
Karan Aggarwal
Swaraj Khadanga
Shafiq Joty
L. Kazaglis
Jaideep Srivastava
120
17
0
23 Jul 2018
A deep learning architecture to detect events in EEG signals during sleep
Stanislas Chambon
Valentin Thorey
P. Arnal
Emmanuel Mignot
Alexandre Gramfort
264
41
0
11 Jul 2018
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
363
385
0
16 May 2018
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification
Yue Geng
Xinyu Luo
AI4TS
123
29
0
13 Jan 2018
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