Local interpretation methods to machine learning using the domain of the feature space (2020)
Botari, Tiago 
; Izbicki, Rafael ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Communications in Computer and Information Science. Conference titles: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMBINATÓRIA
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BOTARI, Tiago e IZBICKI, Rafael e CARVALHO, André Carlos Ponce de Leon Ferreira de. Local interpretation methods to machine learning using the domain of the feature space. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-43823-4_21. Acesso em: 07 jul. 2024. , 2020APA
Botari, T., Izbicki, R., & Carvalho, A. C. P. de L. F. de. (2020). Local interpretation methods to machine learning using the domain of the feature space. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-43823-4_21NLM
Botari T, Izbicki R, Carvalho ACP de LF de. Local interpretation methods to machine learning using the domain of the feature space [Internet]. Communications in Computer and Information Science. 2020 ; 1167 241-252.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/978-3-030-43823-4_21Vancouver
Botari T, Izbicki R, Carvalho ACP de LF de. Local interpretation methods to machine learning using the domain of the feature space [Internet]. Communications in Computer and Information Science. 2020 ; 1167 241-252.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/978-3-030-43823-4_21
