Title
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging Jingyuan Chen Yuan Yao Mie Anderson Natalie Hauglund Celia Kjaerby Verena Untiet Maiken Nedergaard Jiebo Luo 41 1 0 28 Jan 2025
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models Tiezhi Wang Nils Strodthoff 39 5 0 10 Oct 2023
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers Jathurshan Pradeepkumar Mithunjha Anandakumar Vinith Kugathasan Dhinesh Suntharalingham S. L. Kappel A. D. Silva Chamira U. S. Edussooriya 18 31 0 15 Aug 2022
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring Jeroen Van Der Donckt Jonas Van Der Donckt Emiel Deprost N. Vandenbussche Michael Rademaker Gilles Vandewiele Sofie Van Hoecke 11 35 0 15 Jul 2022
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity C. Metzner A. Schilling M. Traxdorf K. Tziridis Holger Schulze P. Krauss 13 11 0 04 Jun 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang Chao-Xiang Wu FedML 11 13 0 10 Jan 2022
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates Luigi Fiorillo Paolo Favaro F. Faraci 8 79 0 24 Aug 2021
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification Huy P Phan Kaare B. Mikkelsen Oliver Y. Chén P. Koch Alfred Mertins M. D. Vos 8 181 0 23 May 2021
MSED: a multi-modal sleep event detection model for clinical sleep analysis Alexander Neergaard Zahid P. Jennum Emmanuel Mignot H. Sørensen 30 10 0 07 Jan 2021
RobustSleepNet: Transfer learning for automated sleep staging at scale Antoine Guillot Valentin Thorey OOD 35 83 0 07 Jan 2021
Automatic detection of microsleep episodes with deep learning A. Malafeev Anneke Hertig-Godeschalk David R. Schreier J. Skorucak J. Mathis P. Achermann 14 15 0 07 Sep 2020
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Mathias Perslev M. Jensen S. Darkner P. Jennum Christian Igel AI4TS 9 243 0 24 Oct 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning Huy P Phan Oliver Y. Chén P. Koch Zongqing Lu Ian Mcloughlin Alfred Mertins M. D. Vos 16 116 0 30 Jul 2019
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram A. N. Olesen Stanislas Chambon Valentin Thorey P. Jennum Emmanuel Mignot H. Sørensen 22 7 0 16 May 2019
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch Huy P Phan Oliver Y. Chén P. Koch Alfred Mertins M. D. Vos 17 35 0 11 Apr 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 25 59 0 07 Dec 2018
A deep learning architecture to detect events in EEG signals during sleep Stanislas Chambon Valentin Thorey P. Arnal Emmanuel Mignot Alexandre Gramfort 15 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 11 337 0 16 May 2018