Cite
Fairness issues, current approaches, and challenges in machine learning models.
MLA
Jui, Tonni Das, and Pablo Rivas. “Fairness Issues, Current Approaches, and Challenges in Machine Learning Models.” International Journal of Machine Learning & Cybernetics, vol. 15, no. 8, Aug. 2024, pp. 3095–125. EBSCOhost, https://doi.org/10.1007/s13042-023-02083-2.
APA
Jui, T. D., & Rivas, P. (2024). Fairness issues, current approaches, and challenges in machine learning models. International Journal of Machine Learning & Cybernetics, 15(8), 3095–3125. https://doi.org/10.1007/s13042-023-02083-2
Chicago
Jui, Tonni Das, and Pablo Rivas. 2024. “Fairness Issues, Current Approaches, and Challenges in Machine Learning Models.” International Journal of Machine Learning & Cybernetics 15 (8): 3095–3125. doi:10.1007/s13042-023-02083-2.