Garcia, Luís P. F; Sáez, José A; Luengo, Julián; Lorena, Ana C; Carvalho, André Carlos Ponce de Leon Ferreira de 
; Herrera, Francisco
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
GARCIA, Luís P. F et al. Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowledge-Based Systems, v. 90, p. 153-164, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2015.09.023. Acesso em: 06 out. 2024.APA
Garcia, L. P. F., Sáez, J. A., Luengo, J., Lorena, A. C., Carvalho, A. C. P. de L. F. de, & Herrera, F. (2015). Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowledge-Based Systems, 90, 153-164. doi:10.1016/j.knosys.2015.09.023NLM
Garcia LPF, Sáez JA, Luengo J, Lorena AC, Carvalho ACP de LF de, Herrera F. Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems [Internet]. Knowledge-Based Systems. 2015 ; 90 153-164.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.knosys.2015.09.023Vancouver
Garcia LPF, Sáez JA, Luengo J, Lorena AC, Carvalho ACP de LF de, Herrera F. Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems [Internet]. Knowledge-Based Systems. 2015 ; 90 153-164.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.knosys.2015.09.023
