Pagano, T.P.;                     Loureiro, R.B.;                     Lisboa, F.V.N.;                     Peixoto, R.M.;                     Guimarães, G.A.S.;                     Cruz, G.O.R.;                     Araujo, M.M.;                     Santos, L.L.;                     Cruz, M.A.S.;                     Oliveira, E.L.S.;     
    et al.    Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods. Big Data Cogn. Comput. 2023, 7, 15.
    https://doi.org/10.3390/bdcc7010015
    AMA Style
    
                                Pagano TP,                                 Loureiro RB,                                 Lisboa FVN,                                 Peixoto RM,                                 Guimarães GAS,                                 Cruz GOR,                                 Araujo MM,                                 Santos LL,                                 Cruz MAS,                                 Oliveira ELS,         
        et al.        Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods. Big Data and Cognitive Computing. 2023; 7(1):15.
        https://doi.org/10.3390/bdcc7010015
    
    Chicago/Turabian Style
    
                                Pagano, Tiago P.,                                 Rafael B. Loureiro,                                 Fernanda V. N. Lisboa,                                 Rodrigo M. Peixoto,                                 Guilherme A. S. Guimarães,                                 Gustavo O. R. Cruz,                                 Maira M. Araujo,                                 Lucas L. Santos,                                 Marco A. S. Cruz,                                 Ewerton L. S. Oliveira,         
         and et al.        2023. "Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods" Big Data and Cognitive Computing 7, no. 1: 15.
        https://doi.org/10.3390/bdcc7010015
    
    APA Style
    
                                Pagano, T. P.,                                 Loureiro, R. B.,                                 Lisboa, F. V. N.,                                 Peixoto, R. M.,                                 Guimarães, G. A. S.,                                 Cruz, G. O. R.,                                 Araujo, M. M.,                                 Santos, L. L.,                                 Cruz, M. A. S.,                                 Oliveira, E. L. S.,                                 Winkler, I.,                                 & Nascimento, E. G. S.        
        
        (2023). Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods. Big Data and Cognitive Computing, 7(1), 15.
        https://doi.org/10.3390/bdcc7010015