Data augmentation for learning predictive models on EEG: a systematic comparison
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DOI: 10.1088/1741-2552/aca220
Abstract: Objective. The use of deep learning for electroencephalography (EEG) classification tasks has been rapidly growing in the last years, yet its application has been limited by the relatively small size of EEG datasets. Data augmentation,… read more here.
Keywords: predictive models; augmentation learning; data augmentation; models eeg ... See more keywords