Experimental Analysis of the Effect of Autoencoder Architectures on Time Series Representation Learning

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dc.contributor.authorTrirat, Patarako
dc.contributor.author김민석ko
dc.contributor.author이재길ko
dc.date.accessioned2020-11-05T05:55:17Z-
dc.date.available2020-11-05T05:55:17Z-
dc.date.created2020-11-04-
dc.date.issued2020-07-04-
dc.identifier.citation2020 한국컴퓨터종합학술대회 (Korea Computer Congress 2020), pp.822 - 824-
dc.identifier.urihttp://hdl.handle.net/10203/277129-
dc.languageEnglish-
dc.publisher한국정보과학회-
dc.titleExperimental Analysis of the Effect of Autoencoder Architectures on Time Series Representation Learning-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage822-
dc.citation.endingpage824-
dc.citation.publicationname2020 한국컴퓨터종합학술대회 (Korea Computer Congress 2020)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation온라인-
dc.contributor.localauthor이재길-
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CS-Conference Papers(학술회의논문)
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