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Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines

dc.contributor.authorNicolaou, N.en
dc.contributor.authorGeorgiou, J.en
dc.creatorNicolaou, N.en
dc.creatorGeorgiou, J.en
dc.date.accessioned2019-04-08T07:47:24Z
dc.date.available2019-04-08T07:47:24Z
dc.date.issued2012
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/44347
dc.sourceExpert Systems with Applicationsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-81855221797&doi=10.1016%2fj.eswa.2011.07.008&partnerID=40&md5=25fec46d952b3581cdb6a34d07059b1a
dc.titleDetection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machinesen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.eswa.2011.07.008
dc.description.volume39
dc.description.issue1
dc.description.startingpage202
dc.description.endingpage209
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeArticleen
dc.source.abbreviationExpert Sys Applen
dc.contributor.orcidGeorgiou, J. [0000-0002-7474-5449]
dc.gnosis.orcid0000-0002-7474-5449


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