Deep fair models for complex data: Graphs labeling and explainable face recognition D Franco, N Navarin, M Donini, D Anguita, L Oneto Neurocomputing 470, 318-334, 2022 | 32 | 2022 |
Toward learning trustworthily from data combining privacy, fairness, and explainability: an application to face recognition D Franco, L Oneto, N Navarin, D Anguita Entropy 23 (8), 1047, 2021 | 26 | 2021 |
Learn and Visually Explain Deep Fair Models: an Application to Face Recognition D Franco, L Oneto, N Navarin, D Anguita 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 6 | 2021 |
Fair Empirical Risk Minimization Revised D Franco, L Oneto, D Anguita International Work-Conference on Artificial Neural Networks, 29-42, 2023 | 3 | 2023 |
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing D Franco, VS D’Amato, L Pasa, N Navarin, L Oneto Neurocomputing 563, 126948, 2024 | 2 | 2024 |
Mitigating Robustness Bias: Theoretical Results and Empirical Evidences D Franco, L Oneto, D Anguita European Symposium on Artificial Neural Networks, Computational Intelligence …, 2023 | 2 | 2023 |
Towards Trustworthiness in Artificial Intelligence: Pushing for Explainable, Fair, Robust, and Private Supervised Machine Learning D Franco Università degli studi di Genova, 2024 | | 2024 |