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dc.creatorMolina, Miguel Ángeles
dc.creatorAsencio Cortés, Gualbertoes
dc.creatorRiquelme Santos, José Cristóbales
dc.creatorMartínez Álvarez, Franciscoes
dc.date.accessioned2023-05-02T09:35:49Z
dc.date.available2023-05-02T09:35:49Z
dc.date.issued2020
dc.identifier.citationMolina, M.Á., Asencio Cortés, G., Riquelme Santos, J.C. y Martínez Álvarez, F. (2020). A preliminary study on deep transfer learning applied to image classification for small datasets. En SOCO 2020: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (741-750), Burgos, España: Springer.
dc.identifier.isbn978-3-030-57801-5 (impreso)es
dc.identifier.isbn978-3-030-57802-2 (online)es
dc.identifier.urihttps://hdl.handle.net/11441/144912
dc.description.abstractA new transfer learning strategy is proposed for image classification in this work, based on an 8-layer convolutional neural network. The transfer learning process consists in a training phase of the neural network on a source dataset of images. Then, the last two layers are retrained using a different small target dataset of images. A preliminary study was conducted to train and test the transfer learning proposal on Malaria cell images for a binary classification problem. The methodology proposed has provided a 6.76% of improvement with respect to other three different strategies of training non-transfer learning models. The results achieved are quite promising and encourage to conduct further research in this field.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2017-88209-C2-1-Res
dc.formatapplication/pdfes
dc.format.extent11es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofSOCO 2020: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (2020), pp. 741-750.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTransfer learninges
dc.subjectdeep learninges
dc.subjectclassificationes
dc.subjectpattern recognitiones
dc.titleA preliminary study on deep transfer learning applied to image classification for small datasetses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2017-88209-C2-1-Res
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-57802-2_71es
dc.identifier.doi10.1007/978-3-030-57802-2_71es
dc.publication.initialPage741es
dc.publication.endPage750es
dc.eventtitleSOCO 2020: 15th International Conference on Soft Computing Models in Industrial and Environmental Applicationses
dc.eventinstitutionBurgos, Españaes
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes

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