Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/44688
DC FieldValueLanguage
dc.contributor.authorSoares, Inês-
dc.contributor.authorDias, Joana-
dc.contributor.authorRocha, Humberto-
dc.contributor.authorKhouri, Leila-
dc.contributor.authorLopes, Maria do Carmo-
dc.contributor.authorFerreira, Brígida-
dc.date.accessioned2017-11-29T20:37:28Z-
dc.date.available2017-11-29T20:37:28Z-
dc.date.issued2016-
dc.identifier.urihttps://hdl.handle.net/10316/44688-
dc.language.isoporpor
dc.rightsopenAccesspor
dc.titleSemi-supervised Self-training Approaches in Small and Unbalanced Datasets: Application to Xerostomia Radiation Side-Effectpor
dc.typearticlepor
degois.publication.firstPage828por
degois.publication.lastPage833por
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-32703-7_161por
dc.identifier.doi10.1007/978-3-319-32703-7_161-
degois.publication.volume57por
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.languageiso639-1pt-
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCeBER – Centre for Business and Economics Research-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCeBER – Centre for Business and Economics Research-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.orcid0000-0003-2517-7905-
crisitem.author.orcid0000-0002-5981-4469-
crisitem.author.orcid0000-0001-7339-7342-
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