DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates

24 August 2021

Papers citing "DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates"

22 / 22 papers shown

Title
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification S. Goerttler Yucheng Wang Emadeldeen Eldele Min Wu F. He 33 0 0 06 Jan 2025
Generalization and Risk Bounds for Recurrent Neural Networks Xuewei Cheng Ke Huang Shujie Ma 24 1 0 05 Nov 2024
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning Rikuto Kotoge Zheng Chen Tasuku Kimura Yasuko Matsubara Takufumi Yanagisawa H. Kishima Yasushi Sakurai OOD SSL 24 1 0 15 Oct 2024
MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems Ali Kavoosi Morgan P. Mitchell Raveen S. Kariyawasam John E. Fleming Penny Lewis Heidi Johansen-Berg Hayriye Cagnan Timothy Denison 22 0 0 14 Jan 2024
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review M. Bechny Giuliana Monachino Luigi Fiorillo J. van der Meer Markus H. Schmidt C. Bassetti A. Tzovara F. Faraci 21 3 0 22 Dec 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 12 1 0 15 Nov 2023
aSAGA: Automatic Sleep Analysis with Gray Areas M. Rusanen Gabriel Jouan R. Huttunen Sami Nikkonen Sigríður Sigurðardóttir ... E. S. Arnardóttir T. Leppänen A. Islind S. Kainulainen H. Korkalainen 19 4 0 03 Oct 2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations Rhys Compton Lily Zhang R. Borsoi Rajesh Ranganath OOD 28 9 0 08 Aug 2023
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages Xuewei Cheng Kevin Huang Yishan Zou Shujie Ma GAN AI4TS 11 10 0 04 Jul 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging E. Heremans Nabeel Seedat B. Buyse D. Testelmans M. Schaar Marina De Vos 19 5 0 07 Jun 2023
Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media Loukas Ilias S. Mouzakitis D. Askounis 17 41 0 26 May 2023
Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models A. Supratak Peter Haddawy 11 7 0 28 Mar 2023
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging Huy P Phan Kristian P. Lorenzen E. Heremans Oliver Y. Chén Minh C. Tran P. Koch Alfred Mertins M. Baumert Kaare B. Mikkelsen Marina De Vos 11 43 0 09 Jan 2023
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning Seongju Lee Yeonguk Yu S. Back H. Seo Kyoobin Lee 23 28 0 20 Sep 2022
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 20 31 0 15 Aug 2022
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning Abdelhak Lemkhenter Paolo Favaro 13 6 0 27 Jul 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
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring Luigi Fiorillo Davide Pedroncelli Valentina Agostini Paolo Favaro F. Faraci 6 13 0 05 Jul 2022
Multi-Tier Platform for Cognizing Massive Electroencephalogram Zheng Chen Lingwei Zhu Ziwei Yang Renyuan Zhang 11 13 0 21 Apr 2022
Automated Sleep Staging via Parallel Frequency-Cut Attention Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura N. Ono M. Altaf-Ul-Amin Shigehiko Kanaya Ming Huang 11 17 0 07 Apr 2022
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 11 93 0 03 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015