Figueroa Barraza, Joaquín Eduardo 
; López Droguett, Enrique Andrés ; Martins, Marcelo Ramos
Fonte: Expert systems with applications. Unidade: EP
Assuntos: REDES NEURAIS, FALHAS COMPUTACIONAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS
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FIGUEROA BARRAZA, Joaquín Eduardo e LÓPEZ DROGUETT, Enrique Andrés e MARTINS, Marcelo Ramos. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert systems with applications, v. 237, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.121670. Acesso em: 06 dez. 2025.APA
Figueroa Barraza, J. E., López Droguett, E. A., & Martins, M. R. (2024). FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert systems with applications, 237, 1-16. doi:10.1016/j.eswa.2023.121670NLM
Figueroa Barraza JE, López Droguett EA, Martins MR. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis [Internet]. Expert systems with applications. 2024 ; 237 1-16.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670Vancouver
Figueroa Barraza JE, López Droguett EA, Martins MR. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis [Internet]. Expert systems with applications. 2024 ; 237 1-16.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670
