Towards Harnessing Natural Language Generation to Explain Black-box Models. - Ettore Mariotti; José Maria Alonso; Albert Gatt (NL4XAI@INGL, 2020)

A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services. - Ettore Mariotti; José Maria Alonso; Roberto Confalonieri 001 (FUZZ-IEEE, 2021)

Measuring Model Understandability by means of Shapley Additive Explanations. - Ettore Mariotti; Jose Maria Alonso-Moral; Albert Gatt (FUZZ-IEEE, 2022)

A Confusion Matrix for Evaluating Feature Attribution Methods. - Anna Arias-Duart; Ettore Mariotti; Dario Garcia-Gasulla; Jose Maria Alonso-Moral (CVPR Workshops, 2023)

Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI. - Ettore Mariotti; Adarsa Sivaprasad; Jose Maria Alonso-Moral (xAI (1), 2023)

Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models. - Ettore Mariotti; Jose Maria Alonso-Moral; Albert Gatt (Inf. Fusion, 2023)

TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing. - Ettore Mariotti; Anna Arias-Duart; Michele Cafagna; Albert Gatt; Dario Garcia-Gasulla; Jose Maria Alonso-Moral (IEEE Access, 2024)