Personalized scorer modeling: a learning-based framework for deriving robust sleep stage labels from multiple experts
Read the original at arxiv.org→arXiv:2608.12446v1 Announce Type: new Abstract: Sleep stage classification is important for the diagnosis and management of sleep disorders, yet most automatic staging studies evaluate models against a single...
Original headline: "Personalized Scorer Modeling: A Learning-Based Framework for Deriving Robust Sleep Stage Labels from Multiple Experts"
Coverage timeline
- Aug 14, 04:00 UTC arXiv cs.LG lead source Personalized Scorer Modeling: A Learning-Based Framework for Deriving Robust Sleep Stage Labels from Multiple Experts