Data augmentation for learning predictive models on EEG: a systematic comparison

Cédric Rommel, Joseph Paillard, Thomas Moreau +1

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 re…