@inproceedings{23338af83f1640568bb75e383e22bab3,
title = "Classification of EEG signals by using support vector machines",
abstract = "In this work, EEG signals were classified by support vector machines to detect whether a subject's planning to perform a task or not. Various different kernels were utilized to find the best kernel function and after that, a feature selection process was realized. The results are comparable to the recent works.",
keywords = "EEG, feature selection, suport vector machines",
author = "Bayram, {K. Sercan} and Kizrak, {M. Ayyuce} and Bulent Bolat",
year = "2013",
doi = "10.1109/INISTA.2013.6577636",
language = "English",
isbn = "9781479906611",
series = "2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013",
booktitle = "2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013",
note = "2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 ; Conference date: 19-06-2013 Through 21-06-2013",
}