DIF-PP: threshold optimization informed by IRT models for group fairness in machine learning (2025)
Minatel, Diego 
; Parmezan, Antonio Rafael Sabino ; Santos, Nícolas Roque dos ; Cúri, Mariana ; Lopes, Alneu de Andrade
Source: Applied Computing Review. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM, BEM-ESTAR SOCIAL
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MINATEL, Diego et al. DIF-PP: threshold optimization informed by IRT models for group fairness in machine learning. Applied Computing Review, v. 25, n. 3, p. 5-20, 2025Tradução . . Disponível em: https://doi.org/10.1145/3770865.3770866. Acesso em: 20 jan. 2026.APA
Minatel, D., Parmezan, A. R. S., Santos, N. R. dos, Cúri, M., & Lopes, A. de A. (2025). DIF-PP: threshold optimization informed by IRT models for group fairness in machine learning. Applied Computing Review, 25( 3), 5-20. doi:10.1145/3770865.3770866NLM
Minatel D, Parmezan ARS, Santos NR dos, Cúri M, Lopes A de A. DIF-PP: threshold optimization informed by IRT models for group fairness in machine learning [Internet]. Applied Computing Review. 2025 ; 25( 3): 5-20.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1145/3770865.3770866Vancouver
Minatel D, Parmezan ARS, Santos NR dos, Cúri M, Lopes A de A. DIF-PP: threshold optimization informed by IRT models for group fairness in machine learning [Internet]. Applied Computing Review. 2025 ; 25( 3): 5-20.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1145/3770865.3770866
