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Found 2 papers, 1 papers with code
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
We show that our semantic subsequence preserving improves the existing masking methods in self-prediction literature and find that preserving 50\% of EEG recordings will result in the most accurate results on all 6 tasks on average.
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network
In this study we demonstrate a novel Brain Computer Interface (BCI) approach to detect driver distraction events to improve road safety.
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