A pseudo-label guided hybrid approach for unsupervised domain adaptation

dc.contributor.author	Blanco Mallo, E.
dc.contributor.author	Bolón Canedo, V.
dc.contributor.author	Remeseiro López, Beatriz
dc.date.accessioned	2024-07-11T07:29:10Z
dc.date.available	2024-07-11T07:29:10Z
dc.date.issued	2023
dc.identifier.isbn	978-303148231-1
dc.identifier.issn	0302-9743
dc.identifier.uri	https://hdl.handle.net/10651/73133
dc.description.sponsorship	This work was supported by the Ministry of Science and Innovation of Spain (Grant PID2019-109238GB, subprojects C21 and C22; and Grant FPI PRE2020-092608) and by Xunta de Galicia (Grants ED431G 2019/01 and ED431C 2022/44).
dc.format.extent	p. 22-27
dc.language.iso	eng
dc.relation.ispartof	Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence and Lecture Notes In Bioinformatics)
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177820091&doi=10.1007%2f978-3-031-48232-8_3&partnerID=40&md5=58660f0b51abc66f27ec693f8f9237fd
dc.title	A pseudo-label guided hybrid approach for unsupervised domain adaptation
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-48232-8_3
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-48232-8_3

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