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Improving self-supervised pretraining models for epileptic seizure detection from EEG data
Traditional supervised learning algorithms are often limited by the amount of labeled data, especially in the medical domain, where labeling is costly in terms of human processing and specialized experts needed to label them.
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings
We attain comparable performance utilizing less than 4\% of the parameters of other models.
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
Neuromarketing aims to understand consumer behavior using neuroscience.
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