Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1707.03321
Cited By
v1
v2 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series"
50 / 79 papers shown
Leveraging Generic Time Series Foundation Models for EEG Classification
Théo Gnassounou
Yessin Moakher
Shifeng Xie
Vasilii Feofanov
I. Redko
AI4TS
112
0
0
31 Oct 2025
EEG Sleep Stage Classification with Continuous Wavelet Transform and Deep Learning
Mehdi Zekriyapanah Gashti
Ghasem Farjamnia
100
3
0
08 Oct 2025
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
Xi Fu
Wei-Bang Jiang
Yi Ding
Cuntai Guan
421
2
0
28 Apr 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li
Xin Chen
Fanqi Shen
Junru Chen
Y. Liu
Daoze Zhang
Zhizhang Yuan
F. Zhao
Meng Li
Yang Yang
376
2
0
24 Feb 2025
Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
Tamal K. Dey
Shreyas N. Samaga
401
2
0
22 Feb 2025
WhACC: Whisker Automatic Contact Classifier with Expert Human-Level Performance
bioRxiv (bioRxiv), 2023
Phillip Maire
Samson G. King
Jonathan Andrew Cheung
Stefanie Walker
Samuel Andrew Hires
325
0
0
06 Jan 2025
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
S. Goerttler
Yucheng Wang
Emadeldeen Eldele
Min Wu
F. He
196
4
0
06 Jan 2025
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
SN Computer Science (SCS), 2024
Mathieu Seraphim
Alexis Lechervy
Florian Yger
Luc Brun
Olivier Etard
222
4
0
18 Oct 2024
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
Knowledge Discovery and Data Mining (KDD), 2024
Kohei Obata
Koki Kawabata
Yasuko Matsubara
Yasushi Sakurai
AI4TS
196
6
0
16 Sep 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Théo Gnassounou
Antoine Collas
Rémi Flamary
Karim Lounici
Alexandre Gramfort
225
6
0
19 Jul 2024
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
Weiqi Zhang
Yongzi Yu
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
AI4TS
AI4CE
464
34
0
03 May 2024
A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Sergio Kazatzidis
S. Mehrkanoon
AI4TS
294
2
0
15 Dec 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
ACM Transactions on Computing for Healthcare (TCH), 2023
Seungyeon Lee
Thai-Hoang Pham
Zhao Cheng
Ping Zhang
391
0
0
06 Dec 2023
Adam-like Algorithm with Smooth Clipping Attains Global Minima: Analysis Based on Ergodicity of Functional SDEs
Keisuke Suzuki
174
0
0
29 Nov 2023
Latent Alignment with Deep Set EEG Decoders
Stylianos Bakas
Siegfried Ludwig
Dimitrios A. Adamos
N. Laskaris
Yannis Panagakis
Stefanos Zafeiriou
BDL
143
7
0
29 Nov 2023
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
Shivam Kumar Sharma
Suvadeep Maiti
S. Mythirayee
Srijithesh P. Rajendran
R. S. Bapi
314
3
0
10 Sep 2023
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yuze Liu
Ziming Zhao
Tiehua Zhang
Kang Wang
Xin Chen
Xiaowei Huang
Jun-Jian Yin
Zhishu Shen
195
7
0
05 Sep 2023
Evaluating the structure of cognitive tasks with transfer learning
Bruno Aristimunha
Raphael Y. de Camargo
W. H. L. Pinaya
Sylvain Chevallier
Alexandre Gramfort
Cédric Rommel
200
6
0
28 Jul 2023
Convolutional Monge Mapping Normalization for learning on sleep data
Théo Gnassounou
Rémi Flamary
Alexandre Gramfort
OOD
221
0
0
30 May 2023
EEG-based Sleep Staging with Hybrid Attention
Conference on Algebraic Informatics (CAI), 2023
Xin-qiu Zhou
Chenyu Liu
Jiaping Xiao
Yang Liu
193
2
0
16 May 2023
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
Neural Networks (NN), 2022
A. Einizade
S. Nasiri
S. H. Sardouie
G. Clifford
153
23
0
09 Dec 2022
Performance and utility trade-off in interpretable sleep staging
Irfan Al-Hussaini
Cassie S. Mitchell
250
4
0
07 Nov 2022
Learning Product Graphs from Spectral Templates
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
A. Einizade
S. H. Sardouie
154
8
0
05 Nov 2022
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
International Conference on Information and Knowledge Management (CIKM), 2022
Irfan Al-Hussaini
Cassie S. Mitchell
219
7
0
21 Sep 2022
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
Expert systems with applications (ESWA), 2022
Seongju Lee
Yeonguk Yu
S. Back
H. Seo
Kyoobin Lee
164
48
0
20 Sep 2022
U-Sleep's resilience to AASM guidelines
npj Digital Medicine (NDM), 2022
Luigi Fiorillo
Giuliana Monachino
J. van der Meer
M. Pesce
J. Warncke
Markus H. Schmidt
C. Bassetti
A. Tzovara
Paolo Favaro
F. Faraci
286
38
0
19 Sep 2022
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones
International Conference on Digital Health (ICDH), 2022
Weijian Li
Wei-wei Zhu
R. Dorsey
Jiebo Luo
169
1
0
26 Jul 2022
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
Biomedical Signal Processing and Control (BSPC), 2022
Jeroen Van Der Donckt
Jonas Van Der Donckt
Emiel Deprost
N. Vandenbussche
Michael Rademaker
Gilles Vandewiele
Sofie Van Hoecke
244
43
0
15 Jul 2022
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
H. Niknazar
S. Mednick
176
12
0
11 Jul 2022
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
Sleep (Sleep), 2022
Luigi Fiorillo
Davide Pedroncelli
Valentina Agostini
Paolo Favaro
F. Faraci
316
17
0
05 Jul 2022
Data augmentation for learning predictive models on EEG: a systematic comparison
Journal of Neural Engineering (J. Neural Eng.), 2022
Cédric Rommel
Joseph Paillard
Thomas Moreau
Alexandre Gramfort
236
95
0
29 Jun 2022
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
International Conference on Machine Learning (ICML), 2022
Iris A. M. Huijben
Arthur A. Nijdam
S. Overeem
M. V. Gilst
Ruud J. G. van Sloun
AI4TS
97
10
0
31 May 2022
Predicting Sleeping Quality using Convolutional Neural Networks
Vidya Rohini Konanur Sathish
Wai Lok Woo
Edmond S. L. Ho
35
0
0
24 Apr 2022
Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition
International Conference on Software Engineering (ICSE), 2022
Cailin Winston
Caleb Winston
Chloe N. Winston
Claris Winston
Cleah Winston
Rajesh P. N. Rao
René Just
158
1
0
20 Mar 2022
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
Neural Information Processing Systems (NeurIPS), 2022
Xia Wei
Aldo A. Faisal
Moritz Grosse-Wentrup
Alexandre Gramfort
Sylvain Chevallier
...
Stephen M. Gordon
Vernon J. Lawhern
Maciej Śliwowski
Vincent Rouanne
Piotr Tempczyk
OOD
106
30
0
14 Feb 2022
Deep invariant networks with differentiable augmentation layers
Neural Information Processing Systems (NeurIPS), 2022
Cédric Rommel
Thomas Moreau
Alexandre Gramfort
OOD
435
10
0
04 Feb 2022
Feature matching as improved transfer learning technique for wearable EEG
Biomedical Signal Processing and Control (BSPC), 2021
E. Heremans
Huy P Phan
A. Ansari
Pascal Borzée
B. Buyse
D. Testelmans
M. D. Vos
OOD
202
14
0
29 Dec 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Physiological Measurement (Physiol. Meas.), 2021
Huy P Phan
Kaare B. Mikkelsen
226
127
0
03 Nov 2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia
Youfang Lin
Jing Wang
Xiaojun Ning
Yuanlai He
R. Zhou
Yuhan Zhou
Li-wei H. Lehman
113
205
0
04 Sep 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
IEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2021
Luigi Fiorillo
Paolo Favaro
F. Faraci
285
94
0
24 Aug 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
International Conference on Learning Representations (ICLR), 2021
Cédric Rommel
Thomas Moreau
Joseph Paillard
Alexandre Gramfort
284
47
0
25 Jun 2021
Robust learning from corrupted EEG with dynamic spatial filtering
NeuroImage (NeuroImage), 2021
Hubert J. Banville
Sean U. N. Wood
Chris Aimone
Denis A. Engemann
Alexandre Gramfort
200
38
0
27 May 2021
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Ziyu Jia
Youfang Lin
Jing Wang
Xuehui Wang
Peiyi Xie
Yingbin Zhang
138
107
0
24 May 2021
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
309
249
0
23 May 2021
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
International Conference on Information and Knowledge Management (CIKM), 2021
Jiayi Chen
Aidong Zhang
214
16
0
17 May 2021
Automated scoring of pre-REM sleep in mice with deep learning
Scientific Reports (Sci Rep), 2021
Niklas Grieger
J. Schwabedal
Stefanie Wendel
Y. Ritze
Stephan Bialonski
180
20
0
05 May 2021
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
Laura M. Ferrari
G. A. Hanna
Paolo Volpe
Esma Ismailova
Franccois Bremond
Maria A. Zuluaga
90
4
0
09 Apr 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Frontiers in Human Neuroscience (Front Hum Neurosci), 2021
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
240
285
0
28 Jan 2021
MSED: a multi-modal sleep event detection model for clinical sleep analysis
IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
Alexander Neergaard Zahid
P. Jennum
Emmanuel Mignot
H. Sørensen
218
26
0
07 Jan 2021
Learning summary features of time series for likelihood free inference
Pedro L. C. Rodrigues
Alexandre Gramfort
AI4TS
106
6
0
04 Dec 2020
1
2
Next
Page 1 of 2
