Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Alonso Fernández, José Ramón
dc.contributor.author	Díaz Muñiz, Cristina
dc.date.accessioned	2021-07-26T07:50:47Z
dc.date.available	2021-07-26T07:50:47Z
dc.date.issued	2021
dc.identifier.citation	Neural Computing and Applications, 33, p. 7821-7838 (2021); doi:10.1007/s00521-020-05523-0
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/60053
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© Springer-Verlag London Ltd., parte de Springer Nature 2021
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098697639&doi=10.1007%2fs00521-020-05523-0&partnerID=40&md5=10f79fecced453f3125d8495e376a28a
dc.title	Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study
dc.type	journal article
dc.identifier.doi	10.1007/s00521-020-05523-0
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-020-05523-0
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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