Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring

15 July 2022

Papers citing "Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring"

3 / 3 papers shown

Title
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation A. Einizade S. Nasiri S. H. Sardouie G. Clifford 21 14 0 09 Dec 2022
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death Joshua C. Chang Ted L. Chang Carson C. Chow R. Mahajan Sonya Mahajan Joe Maisog Shashaank Vattikuti Hongjing Xia FAtt OOD 32 0 0 28 Aug 2022
RobustSleepNet: Transfer learning for automated sleep staging at scale Antoine Guillot Valentin Thorey OOD 40 83 0 07 Jan 2021