Simulating complexity measures on imbalanced datasets (2020)
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, RECONHECIMENTO DE PADRÕES, MATEMÁTICA DA COMPUTAÇÃO
ABNT
BARELLA, Victor Hugo e GARCIA, Luís Paulo Faina e CARVALHO, André Carlos Ponce de Leon Ferreira de. Simulating complexity measures on imbalanced datasets. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_34. Acesso em: 04 nov. 2025. , 2020APA
Barella, V. H., Garcia, L. P. F., & Carvalho, A. C. P. de L. F. de. (2020). Simulating complexity measures on imbalanced datasets. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_34NLM
Barella VH, Garcia LPF, Carvalho ACP de LF de. Simulating complexity measures on imbalanced datasets [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 498-512.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_34Vancouver
Barella VH, Garcia LPF, Carvalho ACP de LF de. Simulating complexity measures on imbalanced datasets [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 498-512.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_34
