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Symbolic Machine learning and Fractal Techniques to Characerize Rejection in Myocardial Biopsy

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dc.contributor.authorCarvalho, V. O. [UNESP]
dc.contributor.authorNeves, L. A. [UNESP]
dc.contributor.authorGodoy, M. F. de
dc.contributor.authorMoreira, R. D.
dc.contributor.authorMoriel, A. R.
dc.contributor.authorMurta Junior, L. O.
dc.contributor.authorMendez, J. F.
dc.contributor.authorRodriguez, TYA
dc.contributor.authorVazquez, H. V.
dc.contributor.authorMarin, CFC
dc.contributor.authorBarreda, M. C.
dc.contributor.authorRojas, R. R.
dc.contributor.authorMedina, J. C.
dc.contributor.authorRuiz, SBL
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T19:30:47Z
dc.date.available2020-12-10T19:30:47Z
dc.date.issued2013-01-01
dc.description.affiliationUniv Estadual Paulista, DEMAC, Rio Claro, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, DEMAC, Rio Claro, Brazil
dc.format.extent272-275
dc.identifier.citation5th Latin American Congress On Biomedical Engineering (claib 2011): Sustainable Technologies For The Health Of All, Pts 1 And 2. New York: Springer, v. 33, n. 1-2, p. 272-275, 2013.
dc.identifier.issn1680-0737
dc.identifier.urihttp://hdl.handle.net/11449/196023
dc.identifier.wosWOS:000310929100070
dc.language.isopor
dc.publisherSpringer
dc.relation.ispartof5th Latin American Congress On Biomedical Engineering (claib 2011): Sustainable Technologies For The Health Of All, Pts 1 And 2
dc.sourceWeb of Science
dc.titleSymbolic Machine learning and Fractal Techniques to Characerize Rejection in Myocardial Biopsyen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentEstatística, Matemática Aplicada e Computação - IGCEpt

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Rio Claro - IGCE - Instituto de Geociências e Ciências Exatas