Basgalupp, Márcio Porto 
; Barros, Rodrigo Coelho ; Sá, Alex Guimarães Cardoso de; Pappa, Gisele Lobo ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Freitas, Alex A
Source: Evolutionary Intelligence. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
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BASGALUPP, Márcio Porto et al. An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evolutionary Intelligence, v. 14, n. 4, p. 1895-1914, 2021Tradução . . Disponível em: https://doi.org/10.1007/s12065-020-00463-z. Acesso em: 02 out. 2024.APA
Basgalupp, M. P., Barros, R. C., Sá, A. G. C. de, Pappa, G. L., Mantovani, R. G., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2021). An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evolutionary Intelligence, 14( 4), 1895-1914. doi:10.1007/s12065-020-00463-zNLM
Basgalupp MP, Barros RC, Sá AGC de, Pappa GL, Mantovani RG, Carvalho ACP de LF de, Freitas AA. An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms [Internet]. Evolutionary Intelligence. 2021 ; 14( 4): 1895-1914.[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/s12065-020-00463-zVancouver
Basgalupp MP, Barros RC, Sá AGC de, Pappa GL, Mantovani RG, Carvalho ACP de LF de, Freitas AA. An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms [Internet]. Evolutionary Intelligence. 2021 ; 14( 4): 1895-1914.[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/s12065-020-00463-z
