Exploratory study of data sampling methods for imbalanced legal text classification (2023)
Freire, Daniela Lopes 
; Almeida, Alex Marino de ; Dias, Márcio de Souza ; Rivolli, Adriano ; Pereira, Fabíola Souza Fernandes ; Godoi, Giliard Almeida de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Hybrid Artificial Intelligence Systems - HAIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, TRIBUNAL DE JUSTIÇA
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ABNT
FREIRE, Daniela Lopes et al. Exploratory study of data sampling methods for imbalanced legal text classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-40725-3_10. Acesso em: 05 nov. 2025. , 2023APA
Freire, D. L., Almeida, A. M. de, Dias, M. de S., Rivolli, A., Pereira, F. S. F., Godoi, G. A. de, & Carvalho, A. C. P. de L. F. de. (2023). Exploratory study of data sampling methods for imbalanced legal text classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-40725-3_10NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Exploratory study of data sampling methods for imbalanced legal text classification [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 108-120.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Exploratory study of data sampling methods for imbalanced legal text classification [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 108-120.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10
