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Uncertainty in Deep Learning for EEG under Dataset Shifts

2025-07-11

Abstract excerpt

<h4>Objective</h4> As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential that predictive models provide not only accurate outputs but also reliable estimates of uncertainty. In clinical applications, where decisions have significant consequences, understanding the confidence behind each prediction is as critical as the prediction itself. Uncertainty modelling plays a...

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Literature Corpus work
8b367e26-4444-53e6-8b01-a2e088ac3a8e
DOI
10.1101/2025.07.09.663220
Open publication

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Uncertainty in Deep Learning for EEG under Dataset ShiftsDOI 10.1101/2025.07.09.663220
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