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Detecting Paralysis of Stroke Symptom in Video: Transfer Learning with Gated Recurrent Unit using Public Big Data of Facial Images

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dc.contributor.authorBan, Sohee-
dc.contributor.authorNam, Hyo Suk-
dc.contributor.authorPark, Eunjeong-
dc.date.accessioned2026-06-18T02:27:14Z-
dc.date.available2026-06-18T02:27:14Z-
dc.date.created2026-05-22-
dc.date.issued2022-12-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/212718-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOfProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022-
dc.titleDetecting Paralysis of Stroke Symptom in Video: Transfer Learning with Gated Recurrent Unit using Public Big Data of Facial Images-
dc.typeArticle-
dc.contributor.googleauthorBan, Sohee-
dc.contributor.googleauthorNam, Hyo Suk-
dc.contributor.googleauthorPark, Eunjeong-
dc.identifier.doi10.1109/BigData55660.2022.10020374-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10020374-
dc.contributor.affiliatedAuthorNam, Hyo Suk-
dc.contributor.affiliatedAuthorPark, Eunjeong-
dc.identifier.scopusid2-s2.0-85147946121-
dc.citation.startPage6587-
dc.citation.endPage6589-
dc.identifier.bibliographicCitationProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 : 6587-6589, 2022-12-
dc.identifier.rimsid93018-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeConference paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
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