FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes

With the increased use of machine learning algorithms to make decisions which impact people's lives, it is of extreme importance to ensure that predictions do not prejudice subgroups of the population with respect to sensitive attributes such as race or gender. Discrimination occurs when the pr...

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Bibliographic Details
Main Author: Salazar, Teresa (author)
Other Authors: Santos, Miriam Seoane (author), Araújo, Helder (author), Abreu, Pedro Manuel Henriques da Cunha (author)
Format: article
Language:eng
Published: 2021
Subjects:
Classification bias
fairness
imbalanced data
K-nearest neighborhood
oversampling
Online Access:http://hdl.handle.net/10316/101209
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/101209

Internet

http://hdl.handle.net/10316/101209

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