1. Achieving Equalized Explainability Through Data Reconstruction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. Achieving Fairness through Constrained Recourse;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
4. Fair Machine Learning Through the Lens of Causality;Machine Learning for Causal Inference;2023
5. Fairness in Machine Learning;Recent Trends in Learning From Data;2020