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Genetic algorithm based on support vector machines for computer vision syndrome classification

dc.contributor.authorArtime Ríos, Eva María
dc.contributor.authorSeguí Crespo, M. M.
dc.contributor.authorSuárez Sánchez, Ana 
dc.contributor.authorSuárez Gómez, Sergio Luis 
dc.contributor.authorSánchez Lasheras, Fernando 
dc.date.accessioned2018-02-06T10:10:29Z
dc.date.available2018-02-06T10:10:29Z
dc.date.issued2018
dc.identifier.isbn978-3-319-67179-6
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10651/45145
dc.descriptionInternational Joint Conference SOCO’17-CISIS’17-ICEUTE’17 (2017. León, Spain)
dc.format.extentp. 381-390
dc.language.isoeng
dc.relation.ispartofInternational Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO 2017, ICEUTE 2017, CISIS 2017.
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing, 469
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028641731&doi=10.1007%2f978-3-319-67180-2_37&partnerID=40&md5=3d58bfc7147a95b54d27fe3be8b8e247
dc.titleGenetic algorithm based on support vector machines for computer vision syndrome classification
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-319-67180-2_37
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-67180-2_37


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