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Inherent dimension of the affective space: Analysis using electromyography and machine learning

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dc.contributor.authorGadzhiev, I. M.
dc.contributor.authorKnyshenko, M. P.
dc.contributor.authorDolenko, S. A.
dc.contributor.authorSamsonovich, A. V.
dc.contributor.authorГаджиев, Исмаил Маратович
dc.contributor.authorСамсонович, Алексей Владимир
dc.date.accessioned2024-12-28T08:17:30Z
dc.date.available2024-12-28T08:17:30Z
dc.date.issued2023
dc.format.extentС. 96-105
dc.identifier.citationInherent dimension of the affective space: Analysis using electromyography and machine learning / Gadzhiev, I. M. [et al.] // Cognitive Systems Research. - 2023. - 78. - P. 96-105. - 10.1016/j.cogsys.2022.12.008
dc.identifier.doi10.1016/j.cogsys.2022.12.008
dc.identifier.urihttps://www.doi.org/10.1016/j.cogsys.2022.12.008
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85144271240&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/29897
dc.relation.ispartofCognitive Systems Research
dc.titleInherent dimension of the affective space: Analysis using electromyography and machine learning
dc.typeArticle
dspace.entity.typePublication
oaire.citation.volume78
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