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dc.contributor.authorSONG, WOO JIN-
dc.contributor.authorKwak, Youngchul-
dc.contributor.authorKim, seong-Eun-
dc.date.accessioned2019-12-04T16:11:43Z-
dc.date.available2019-12-04T16:11:43Z-
dc.date.created2019-12-04-
dc.date.issued2019-02-19-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/100346-
dc.publisherIEEE-
dc.relation.isPartOfIEEE International Winter Conference on Brain-Computer Interface-
dc.relation.isPartOfIEEE International Winter Conference on Brain-Computer Interface-
dc.titleClassification of Working Memory Performance from EEG with Deep Artificial Neural Networks-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationIEEE International Winter Conference on Brain-Computer Interface-
dc.citation.conferenceDate2019-02-18-
dc.citation.conferencePlaceUS-
dc.citation.titleIEEE International Winter Conference on Brain-Computer Interface-
dc.contributor.affiliatedAuthorSONG, WOO JIN-
dc.contributor.affiliatedAuthorKwak, Youngchul-
dc.description.journalClass1-
dc.description.journalClass1-

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송우진SONG, WOO JIN
Dept of Electrical Enginrg
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