S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models

10 October 2023

Papers citing "S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models"

8 / 8 papers shown

Title
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study Mohammad Moulaeifard Peter H. Charlton Nils Strodthoff OOD 64 1 0 26 Feb 2025
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM AI4TS CML 29 2 0 24 May 2024
Assessing the importance of long-range correlations for deep-learning-based sleep staging Tiezhi Wang Nils Strodthoff 19 1 0 22 Feb 2024
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling Raunaq M. Bhirangi Chenyu Wang Venkatesh Pattabiraman Carmel Majidi Abhinav Gupta Tess Hellebrekers Lerrel Pinto 48 10 0 15 Feb 2024
U-Sleep's resilience to AASM guidelines Luigi Fiorillo Giuliana Monachino J. van der Meer M. Pesce J. Warncke Markus H. Schmidt C. Bassetti A. Tzovara Paolo Favaro F. Faraci 26 24 0 19 Sep 2022
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer Wen-Rang Zhang Ling Yang Shijia Geng Shenda Hong ViT AI4TS 37 40 0 20 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
RobustSleepNet: Transfer learning for automated sleep staging at scale Antoine Guillot Valentin Thorey OOD 33 81 0 07 Jan 2021