2 papers
eess.SP2026
Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules
Emil Hardarson, Konstantin Popov, Sigridur Sigurdardottir +3
Automated sleep staging is commonly approached as a supervised machine learning problem, with deep learning methods dominating recent research. While machine learning models achiev…
cs.LG2026
Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
Emil Hardarson, Luka Biedebach, Ãmar Bessi Ãmarsson +3
Applying machine learning to sensitive time-series data is often bottlenecked by the iteration loop: Performance depends strongly on preprocessing and architecture, yet training of…