How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees

Áreas de investigación:

• Methodology - Multiobjective evolutionary algorithms

Año:

2021

Tipo de publicación:

Artículo

Autores:

• Valdivia, Ana
• Sánchez-Monedero, Javier
• Casillas, Jorge

Journal:

International Journal of Intelligent Systems

Volumen:

36

Número:

4

Páginas:

1619-1643

BibTex:

@article{Ana Valdivia2021, author = "Ana Valdivia and Javier S{\'a}nchez-Monedero and Jorge Casillas", awards = "JCR(2021): 8.993 Position: 20/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", comments = "JCR(2021): 8.993 Position: 20/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", journal = "International Journal of Intelligent Systems", note = "JCR(2021): 8.993 Position: 20/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", number = "4", pages = "1619-1643", title = "{H}ow fair can we go in machine learning? {A}ssessing the boundaries of fairness in decision trees", url = "doi.org/10.1002/int.22354", volume = "36", year = "2021", }

Nota:

JCR(2021): 8.993 Position: 20/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Comentarios:

JCR(2021): 8.993 Position: 20/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE