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Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach
dc.contributor.author | Carballal, A | |
dc.contributor.author | Fernandez Lozano, Carlos | |
dc.contributor.author | Rodriguez-Fernandez, N | |
dc.contributor.author | Castro, L | |
dc.contributor.author | Santos, A | |
dc.date.accessioned | 2022-02-02T08:16:55Z | |
dc.date.available | 2022-02-02T08:16:55Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1076-2787 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11940/16073 | |
dc.language.iso | eng | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach | en |
dc.type | Artigo | es |
dc.identifier.doi | 10.1155/2019/4659809 | |
dc.identifier.sophos | 34786 | |
dc.journal.title | COMPLEXITY. | es |
dc.organization | Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Biomédica da Coruña (INIBIC) | es |
dc.page.initial | 1 | es |
dc.relation.publisherversion | https://downloads.hindawi.com/journals/complexity/2019/4659809.pdf | es |
dc.rights.accessRights | openAccess | es |
dc.subject.keyword | INIBIC | es |
dc.typefides | Artículo Original | es |
dc.typesophos | Artículo Original | es |
dc.volume.number | - | es |