Item response theory in sample reweighting to build fairer classifiers (2024)
Minatel, Diego 
; Santos, Nícolas Roque dos ; Silva, Vinícius Ferreira da; Curi, Mariana ; Lopes, Alneu de Andrade
Fonte: Communications in Computer and Information Science. Nome do evento: Annual International Conference on Information Management and Big Data - SIMBig. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS PARA PROCESSAMENTO, TEORIA DE RESPOSTA AO ITEM
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MINATEL, Diego et al. Item response theory in sample reweighting to build fairer classifiers. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-63616-5_14. Acesso em: 07 nov. 2025. , 2024APA
Minatel, D., Santos, N. R. dos, Silva, V. F. da, Curi, M., & Lopes, A. de A. (2024). Item response theory in sample reweighting to build fairer classifiers. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-63616-5_14NLM
Minatel D, Santos NR dos, Silva VF da, Curi M, Lopes A de A. Item response theory in sample reweighting to build fairer classifiers [Internet]. Communications in Computer and Information Science. 2024 ; 2142 184-198.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-63616-5_14Vancouver
Minatel D, Santos NR dos, Silva VF da, Curi M, Lopes A de A. Item response theory in sample reweighting to build fairer classifiers [Internet]. Communications in Computer and Information Science. 2024 ; 2142 184-198.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-63616-5_14
