Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9869
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dc.contributor.authorKöktürk, Başak Esin-
dc.contributor.authorKaraçalı, Bilge-
dc.date.accessioned2021-01-24T18:28:52Z-
dc.date.available2021-01-24T18:28:52Z-
dc.date.issued2012-
dc.identifier.isbn978-146730056-8-
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204600-
dc.identifier.urihttps://hdl.handle.net/11147/9869-
dc.description.abstractIn this study, the separation of the stimulus effects from the baseline was investigated in electroencephalography data recorded under different visual stimuli using quasi-supervised learning. The data feature vectors were constructed using independent component analysis and wavelet transform, and then, these feature vectors were separated using quasi-supervised learning. Experiment results showed that the EEG data of the stimuli can be separated using quasi-supervised learning. © 2012 IEEE.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectElectroencephalogramen_US
dc.subjectIndependent component analysisen_US
dc.subjectQuasi-supervised learningen_US
dc.subjectWavelet transformen_US
dc.titleElektroensefalografi verilerinin yarı-güdümlü öğrenme ile otomatik olarak işaretlenmesien_US
dc.title.alternativeAutomated labeling of electroencephalography data using quasi-supervised learningen_US
dc.typeConference Objecten_US
dc.institutionauthorKöktürk, Başak Esin-
dc.institutionauthorKaraçalı, Bilge-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.scopus2-s2.0-84863455167en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/SIU.2012.6204600-
dc.relation.doi10.1109/SIU.2012.6204600en_US
dc.coverage.doi10.1109/SIU.2012.6204600en_US
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityN/A-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1tr-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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