An iterative cross-subject negative-unlabeled learning algorithm for quantifying passive fatigue.
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DOI: 10.1088/1741-2552/ab255d
Abstract: Objective. This paper proposes an iterative negative-unlabeled (NU) learning algorithm for cross-subject detection of passive fatigue from labelled alert (negative) and unlabeled driving EEG data. Approach. Unlike other studies which used manual labeling of the… read more here.
Keywords: cross subject; negative unlabeled; fatigue; passive fatigue ... See more keywords