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eess.SP2026
Foundation models for movement data: Are they ready for prime-time?
Alexander Bräuer, Benjamin Cauchi, Nils Strodthoff
Foundation models (FMs) trained on large-scale accelerometer data have been proposed as general-purpose feature extractors for health monitoring, but systematic evidence of their a…
eess.SP2024
Assessing the importance of long-range correlations for deep-learning-based sleep staging
Tiezhi Wang, Nils Strodthoff
This study aims to elucidate the significance of long-range correlations for deep-learning-based sleep staging. It is centered around S4Sleep(TS), a recently proposed model for aut…