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Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network

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dc.contributor.authorLee, Seong Whan-
dc.date.accessioned2021-08-27T11:56:03Z-
dc.date.available2021-08-27T11:56:03Z-
dc.date.created2021-04-22-
dc.date.issued2020-05-04-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/6740-
dc.publisherIEEE Signal Processing Society-
dc.titleClassification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network-
dc.title.alternativeClassification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network-
dc.typeConference-
dc.contributor.affiliatedAuthorLee, Seong Whan-
dc.identifier.bibliographicCitation45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)-
dc.relation.isPartOf45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)-
dc.relation.isPartOfProc. 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)-
dc.citation.title45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)-
dc.citation.conferencePlaceSP-
dc.citation.conferenceDate2020-05-04-
dc.type.rimsCONF-
dc.description.journalClass1-
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