| Focus! Rating XAI Methods and Finding Biases A Arias-Duart, F Parés, D Garcia-Gasulla, V Giménez-Ábalos 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 34 | 2022 |
| A Confusion Matrix for Evaluating Feature Attribution Methods A Arias-Duart, E Mariotti, D Garcia-Gasulla, JM Alonso-Moral Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| The MAMe dataset: on the relevance of high resolution and variable shape image properties F Parés, A Arias-Duart, D Garcia-Gasulla, G Campo-Francés, N Viladrich, ... Applied Intelligence, 1-22, 2022 | 6 | 2022 |
| Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods A Arias-Duart, F Parés, D Garcia-Gasulla arXiv preprint arXiv:2109.15035, 2021 | 4 | 2021 |
| A Closer Look at Art Mediums: The MAMe Image Classification Dataset F Parés, A Arias-Duart, D Garcia-Gasulla, G Campo-Francés, N Viladrich, ... CoRR abs 2007, 13693, 2020 | 3 | 2020 |
| Focus and Bias: Will It Blend? A Arias-Duart, F Parés, V Giménez-Ábalos, D Garcia-Gasulla Artificial Intelligence Research and Development, 325-334, 2022 | 2 | 2022 |
| TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing E Mariotti, A Arias-Duart, M Cafagna, A Gatt, D Garcia-Gasulla, ... IEEE Access, 2024 | 1 | 2024 |
| Assessing Biases through Visual Contexts A Arias-Duart, V Gimenez-Abalos, U Cortés, D Garcia-Gasulla Electronics 12 (14), 3066, 2023 | | 2023 |
