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Article

Generalizable and Resilient Multimodal Temporal Learning

2025-07-01

Abstract excerpt

Comprehending human sleep mechanisms is vital for diagnosing a range of neurological and physiological conditions. Traditional sleep staging relies on expert annotation of polysomnographic recordings, a process that is labor-intensive and susceptible to inconsistency. Although automated sleep staging has gained traction, most current systems depend predominantly on EEG signals, which limits their robustness in cli...

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Literature Corpus work
b2592732-ed4b-58a3-a46e-fe55409f2e64
DOI
10.20944/preprints202507.0011.v1
Open publication

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Generalizable and Resilient Multimodal Temporal LearningDOI 10.20944/preprints202507.0011.v1
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