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dc.contributor.authorBermejo Sánchez, Sergi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.identifier.citationBermejo, S. Ensembles of wrappers for automated feature selection in fish age classification. "Computers and electronics in agriculture", 20 Gener 2017, vol. 134, p. 27-32.
dc.description.abstractIn feature selection, the most important features must be chosen so as to decrease the number thereof while retaining their discriminatory information. Within this context, a novel feature selection method based on an ensemble of wrappers is proposed and applied for automatically select features in fish age classification. The effectiveness of this procedure using an Atlantic cod database has been tested for different powerful statistical learning classifiers. The subsets based on few features selected, e.g. otolith weight and fish weight, are particularly noticeable given current biological findings and practices in fishery research and the classification results obtained with them outperforms those of previous studies in which a manual feature selection was performed.
dc.format.extent6 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Agricultura
dc.subject.lcshAgriculture -- Data processing
dc.subject.otherAutomated fish age classification
dc.subject.otherAtlantic cod otoliths
dc.subject.otherFeature selection
dc.subject.otherNearest neighbor classifiers
dc.subject.otherStatistical pattern recognition
dc.subject.otherSupport vector machines
dc.titleEnsembles of wrappers for automated feature selection in fish age classification
dc.subject.lemacAgricultura -- Informàtica
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorBermejo, S.
local.citation.publicationNameComputers and electronics in agriculture

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