Semi-supervised recurrent variational autoencoder approach for visual diagnosis of atrial fibrillation

dc.contributor.author	Costa Cortéz, Nahuel Alejandro
dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Couso Blanco, Inés
dc.date.accessioned	2021-07-26T07:51:31Z
dc.date.available	2021-07-26T07:51:31Z
dc.date.issued	2021
dc.identifier.citation	IEEE Access, 9, p. 40227-40239 (2021); doi:10.1109/ACCESS.2021.3064854
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10651/60152
dc.description.sponsorship	This work was supported in part by the Ministry of Economy, Industry and Competitiveness (Ministerio de Economía, Industria y Competitividad) of Spain/FEDER under Grant TIN2017-84804-R and Grant PID2020-112726-RB.
dc.format.extent	p. 40227-40239
dc.language.iso	eng
dc.relation.ispartof	IEEE Access
dc.rights	© Los autores, publicado por IEEE
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102650289&doi=10.1109%2fACCESS.2021.3064854&partnerID=40&md5=3858f048291455e7034c570fe43730bd
dc.title	Semi-supervised recurrent variational autoencoder approach for visual diagnosis of atrial fibrillation
dc.type	journal article
dc.identifier.doi	10.1109/ACCESS.2021.3064854
dc.relation.projectID	MINECO/FEDER/TIN2017-84804-R
dc.relation.projectID	MINECO/FEDER/PID2020-112726-RB
dc.relation.publisherversion	http://dx.doi.org/10.1109/ACCESS.2021.3064854
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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