Copying machine learning classifiers I Unceta, J Nin, O Pujol IEEE Access 8, 160268-160284, 2020 | 20 | 2020 |
Towards global explanations for credit risk scoring I Unceta, J Nin, O Pujol arXiv preprint arXiv:1811.07698, 2018 | 16 | 2018 |
Environmental adaptation and differential replication in machine learning I Unceta, J Nin, O Pujol Entropy 22 (10), 1122, 2020 | 12* | 2020 |
The challenges of machine learning and their economic implications P Borrellas, I Unceta Entropy 23 (3), 275, 2021 | 11 | 2021 |
Risk mitigation in algorithmic accountability: The role of machine learning copies I Unceta, J Nin, O Pujol PloS one 15 (11), e0241286, 2020 | 10 | 2020 |
Sampling unknown decision functions to build classifier copies I Unceta, D Palacios, J Nin, O Pujol International Conference on Modeling Decisions for Artificial Intelligence …, 2020 | 9 | 2020 |
Using copies to remove sensitive data: A case study on fair superhero alignment prediction I Unceta, J Nin, O Pujol Iberian Conference on Pattern Recognition and Image Analysis, 182-193, 2019 | 7 | 2019 |
From batch to online learning using copies I Unceta, J Nin, O Pujol Artificial Intelligence Research and Development, 125-134, 2019 | 6 | 2019 |
Transactional compatible representations for high value client identification: A financial case study I Unceta, J Nin, O Pujol Complex Networks XI: Proceedings of the 11th Conference on Complex Networks …, 2020 | 4 | 2020 |
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers N Statuto, I Unceta, J Nin, O Pujol Journal of Machine Learning Research 24 (390), 1-34, 2023 | | 2023 |
On the Convergence of Financial Distress Propagation on Generic Networks M Villaret Artificial Intelligence Research and Development: Proceedings of the 23rd …, 2021 | | 2021 |
Differential replication for credit scoring in regulated environments I Unceta, J Nin, O Pujol Entropy 23 (4), 407, 2021 | | 2021 |
Adapting by copying. Towards a sustainable machine learning I Unceta Universitat de Barcelona, 2021 | | 2021 |