References

• 2010Three naive Bayes approaches for discrimination-free classification756 cited
• 2010Discrimination Aware Decision Tree Learning303 cited
• 2022A survey on datasets for fairness‐aware machine learning261 cited
• 2023Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey222 cited
• 2019Fairness Constraints: A Flexible Approach for Fair Classification184 cited
• 2019Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making135 cited
• 2019FAHT: An Adaptive Fairness-aware Decision Tree Classifier85 cited
• 2019AdaFair75 cited
• 2020FNNC: Achieving Fairness through Neural Networks46 cited
• 2025Evaluating Fairness Strategies in Educational Data Mining: A Comparative Study of Bias Mitigation Techniques20 cited
• 2023CertiFair: A Framework for Certified Global Fairness of Neural Networks19 cited
• 2022FFTree: A flexible tree to handle multiple fairness criteria17 cited
• 2020Enforcing fairness in logistic regression algorithm17 cited
• 2015Prediction with Model-Based Neutrality14 cited

Cited by

No citing works inside the corpus for this window.