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Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods.

Tiago Palma PaganoRafael Bessa LoureiroFernanda Vitoria Nascimento LisboaRodrigo Matos PeixotoGuilherme Aragao de Sousa GuimaraesGustavo Oliveira Ramos CruzMaira Matos AraujoLucas Lisboa dos SantosMarco CruzEwerton Lopes Silva de OliveiraIngrid WinklerErick Giovani Sperandio Nascimento
Published in: Big Data Cogn. Comput. (2023)
Keyphrases
  • machine learning models
  • benchmark datasets
  • empirical studies
  • machine learning algorithms
  • preprocessing
  • machine learning methods
  • systematic review
  • data sets
  • knowledge discovery