XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

8 July 2020

Papers citing "XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging"

23 / 23 papers shown

Title
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework Cheol-Hui Lee Hakseung Kim Byung C. Yoon Dong-Joo Kim 46 0 0 18 Feb 2025
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification Younghoon Na Hyun Keun Ahn Hyun-Kyung Lee Yoongeol Lee Seung Hun Oh Hongkwon Kim Jeong-Gun Lee 45 0 0 13 Feb 2025
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 49 1 0 28 Jan 2025
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 43 2 0 19 Jul 2024
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging Yan Pei Wei Luo 47 0 0 11 Apr 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG Cheol-Hui Lee Hakseung Kim Hyun-jee Han Min-Kyung Jung Byung C. Yoon Dong-Joo Kim 37 5 0 10 Apr 2024
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers Jonathan Carter João Jorge O. Gibson Lionel Tarassenko 37 2 0 04 Apr 2024
Assessing the importance of long-range correlations for deep-learning-based sleep staging Tiezhi Wang Nils Strodthoff 32 1 0 22 Feb 2024
Generalizable Sleep Staging via Multi-Level Domain Alignment Jiquan Wang Sha Zhao Haiteng Jiang Shijian Li Tao Li Gang Pan 47 9 0 13 Dec 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging Seungyeon Lee Thai-Hoang Pham Zhao Cheng Ping Zhang 36 0 0 06 Dec 2023
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models Tiezhi Wang Nils Strodthoff 47 5 0 10 Oct 2023
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities Konstantinos Kontras Christos Chatzichristos Huy P Phan Johan A. K. Suykens Marina De Vos AI4TS 24 11 0 27 Mar 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 31 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 27 35 0 15 Jul 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 27 8 0 04 Feb 2022
Feature matching as improved transfer learning technique for wearable EEG E. Heremans Huy P Phan A. Ansari Pascal Borzée B. Buyse D. Testelmans M. D. Vos OOD 21 10 0 29 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 29 8 0 03 Dec 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 93 0 03 Nov 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates Luigi Fiorillo Paolo Favaro F. Faraci 24 79 0 24 Aug 2021
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan OOD 24 39 0 09 Jul 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 21 182 0 23 May 2021
RobustSleepNet: Transfer learning for automated sleep staging at scale Antoine Guillot Valentin Thorey OOD 43 83 0 07 Jan 2021
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation Tim De Ryck M. D. Vos Alexander Bertrand 16 55 0 21 Aug 2020