Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
ABNT
PRATI, Ronaldo C e BATISTA, Gustavo Enrique de Almeida Prado Alves e SILVA, Diego Furtado. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowledge and Information Systems, v. 45, n. 1, p. 247-270, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10115-014-0794-3. Acesso em: 04 out. 2024.APA
Prati, R. C., Batista, G. E. de A. P. A., & Silva, D. F. (2015). Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowledge and Information Systems, 45( 1), 247-270. doi:10.1007/s10115-014-0794-3NLM
Prati RC, Batista GE de APA, Silva DF. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods [Internet]. Knowledge and Information Systems. 2015 ; 45( 1): 247-270.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s10115-014-0794-3Vancouver
Prati RC, Batista GE de APA, Silva DF. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods [Internet]. Knowledge and Information Systems. 2015 ; 45( 1): 247-270.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s10115-014-0794-3