FairDIF: debiasing classifiers with item response theory and differential item functioning (2026)
Source: AI and Ethics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM, INTELIGÊNCIA ARTIFICIAL
ABNT
MINATEL, Diego et al. FairDIF: debiasing classifiers with item response theory and differential item functioning. AI and Ethics, v. 6, n. 2, p. 1-22, 2026Tradução . . Disponível em: https://doi.org/10.1007/s43681-026-01055-w. Acesso em: 22 abr. 2026.APA
Minatel, D., Parmezan, A. R. S., Santos, N. R. dos, Cúri, M., Prudêncio, R. B. C., & Lopes, A. de A. (2026). FairDIF: debiasing classifiers with item response theory and differential item functioning. AI and Ethics, 6( 2), 1-22. doi:10.1007/s43681-026-01055-wNLM
Minatel D, Parmezan ARS, Santos NR dos, Cúri M, Prudêncio RBC, Lopes A de A. FairDIF: debiasing classifiers with item response theory and differential item functioning [Internet]. AI and Ethics. 2026 ; 6( 2): 1-22.[citado 2026 abr. 22 ] Available from: https://doi.org/10.1007/s43681-026-01055-wVancouver
Minatel D, Parmezan ARS, Santos NR dos, Cúri M, Prudêncio RBC, Lopes A de A. FairDIF: debiasing classifiers with item response theory and differential item functioning [Internet]. AI and Ethics. 2026 ; 6( 2): 1-22.[citado 2026 abr. 22 ] Available from: https://doi.org/10.1007/s43681-026-01055-w
