An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia

dc.contributor.author	Palacios Jiménez, Ana María
dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Couso Blanco, Inés
dc.contributor.author	Destercke, S.
dc.date.accessioned	2016-05-06T09:28:03Z
dc.date.available	2016-05-06T09:28:03Z
dc.date.issued	2016
dc.identifier.citation	Neurocomputing, 176, p. 60-71 (2016); doi:10.1016/j.neucom.2014.11.088
dc.identifier.issn	0925-2312
dc.identifier.uri	http://hdl.handle.net/10651/37070
dc.description.sponsorship	This work was supported in part by the Spanish Ministry of Science and Innovation (MICINN) and the Regional Ministry of the Principality of Asturias under Grants TIN2011-24302, TIN2014- 56967-R and FC-15-GRUPIN14-073
dc.format.extent	p. 60-71
dc.language.iso	eng
dc.relation.ispartof	Neurocomputing
dc.rights	©,
dc.source	Scopus
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84955361573&partnerID=40&md5=d04ef461997b5a6be355edfa463c1cba
dc.title	An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia	eng
dc.type	journal article
dc.identifier.doi	10.1016/j.neucom.2014.11.088
dc.relation.projectID	MICINN/TIN2011-24302
dc.relation.projectID	MICINN/TIN2014-56967-R
dc.relation.projectID	MICINN/FC-15-GRUPIN14-073
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.neucom.2014.11.088

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