Machine learning for enhanced credit risk assessment: an empirical approach (2023)
Suhadolnik, Nicolas 
; Ueyama, Jó ; Silva, Sergio da
Source: Journal of Risk and Financial Management. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RISCO, CRÉDITO
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ABNT
SUHADOLNIK, Nicolas e UEYAMA, Jó e SILVA, Sergio da. Machine learning for enhanced credit risk assessment: an empirical approach. Journal of Risk and Financial Management, v. 16, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.3390/jrfm16120496. Acesso em: 15 nov. 2024.APA
Suhadolnik, N., Ueyama, J., & Silva, S. da. (2023). Machine learning for enhanced credit risk assessment: an empirical approach. Journal of Risk and Financial Management, 16, 1-21. doi:10.3390/jrfm16120496NLM
Suhadolnik N, Ueyama J, Silva S da. Machine learning for enhanced credit risk assessment: an empirical approach [Internet]. Journal of Risk and Financial Management. 2023 ; 16 1-21.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/jrfm16120496Vancouver
Suhadolnik N, Ueyama J, Silva S da. Machine learning for enhanced credit risk assessment: an empirical approach [Internet]. Journal of Risk and Financial Management. 2023 ; 16 1-21.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/jrfm16120496
