dc.creator | Molina, Miguel Ángel | es |
dc.creator | Asencio Cortés, Gualberto | es |
dc.creator | Riquelme Santos, José Cristóbal | es |
dc.creator | Martínez Álvarez, Francisco | es |
dc.date.accessioned | 2023-05-02T09:35:49Z | |
dc.date.available | 2023-05-02T09:35:49Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Molina, 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.isbn | 978-3-030-57801-5 (impreso) | es |
dc.identifier.isbn | 978-3-030-57802-2 (online) | es |
dc.identifier.uri | https://hdl.handle.net/11441/144912 | |
dc.description.abstract | A 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.sponsorship | Ministerio de Economía y Competitividad TIN2017-88209-C2-1-R | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | SOCO 2020: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (2020), pp. 741-750. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Transfer learning | es |
dc.subject | deep learning | es |
dc.subject | classification | es |
dc.subject | pattern recognition | es |
dc.title | A preliminary study on deep transfer learning applied to image classification for small datasets | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2017-88209-C2-1-R | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-57802-2_71 | es |
dc.identifier.doi | 10.1007/978-3-030-57802-2_71 | es |
dc.publication.initialPage | 741 | es |
dc.publication.endPage | 750 | es |
dc.eventtitle | SOCO 2020: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications | es |
dc.eventinstitution | Burgos, España | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |