most citedA GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.NE2019★ 15 cited

A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems

Samira Vafay Eslahi, Nader Jafarnia Dabanloo, Keivan Maghooli

In electroencephalogram (EEG) signal processing, finding the appropriate information from a dataset has been a big challenge for successful signal classification. The feature selec…