Source: Transportes. Unidades: EESC, FFCLRP
Subjects: ACIDENTES DE TRÂNSITO, RODOVIAS, REDES NEURAIS
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ABNT
CHUERUBIM, Maria Lígia et al. Evaluation of database balancing techniques for road accident severity classification employing arficial neural network. Transportes, v. 28 n. 5, p. 252-266, 2020Tradução . . Disponível em: http://dx.doi.org/10.14295/transportes.v28i5.2271. Acesso em: 07 out. 2024.APA
Chuerubim, M. L., Ferreira, L. N., Valejo, A., Bezerra, B. S., Marotta, G. S. 'A., & Silva, I. da. (2020). Evaluation of database balancing techniques for road accident severity classification employing arficial neural network. Transportes, 28 n. 5, 252-266. doi:10.14295/transportes.v28i5.2271NLM
Chuerubim ML, Ferreira LN, Valejo A, Bezerra BS, Marotta GS'A, Silva I da. Evaluation of database balancing techniques for road accident severity classification employing arficial neural network [Internet]. Transportes. 2020 ; 28 n. 5 252-266.[citado 2024 out. 07 ] Available from: http://dx.doi.org/10.14295/transportes.v28i5.2271Vancouver
Chuerubim ML, Ferreira LN, Valejo A, Bezerra BS, Marotta GS'A, Silva I da. Evaluation of database balancing techniques for road accident severity classification employing arficial neural network [Internet]. Transportes. 2020 ; 28 n. 5 252-266.[citado 2024 out. 07 ] Available from: http://dx.doi.org/10.14295/transportes.v28i5.2271