Design issues in Time Series dataset balancing algorithms

dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.contributor.author	Villar Flecha, José Ramón
dc.contributor.author	Vergara, P. M.
dc.contributor.author	Herrero, Á.
dc.contributor.author	Sedano, J.
dc.date.accessioned	2019-08-21T07:33:02Z
dc.date.available	2019-08-21T07:33:02Z
dc.date.issued	2019
dc.identifier.citation	Neural Computing and Applications, p. 1-18 (2019); doi:10.1007/s00521-019-04011-4
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/51795
dc.description.sponsorship	This research has been funded by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), under Grants TIN2014-56967-R and TIN2017-84804-R.
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© Springer-Verlag London Ltd., part of Springer Nature 2019
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060544028&doi=10.1007%2fs00521-019-04011-4&partnerID=40&md5=1764e69508b61319c8e3d548b91df219
dc.title	Design issues in Time Series dataset balancing algorithms
dc.type	journal article
dc.identifier.doi	10.1007/s00521-019-04011-4
dc.relation.projectID	TIN2014-56967-R
dc.relation.projectID	TIN2017-84804-R
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-019-04011-4

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