Comparing Feature Importance and Rule Extraction for Interpretability on Text Data. - Gianluigi Lopardo; Damien Garreau (ICPR Workshops (3), 2022)

SMACE: A New Method for the Interpretability of Composite Decision Systems. - Gianluigi Lopardo; Damien Garreau; Frédéric Precioso; Greger Ottosson (ECML/PKDD (1), 2022)

A Sea of Words: An In-Depth Analysis of Anchors for Text Data. - Gianluigi Lopardo; Frédéric Precioso; Damien Garreau (AISTATS, 2023)

Understanding Post-hoc Explainers: The Case of Anchors. - Gianluigi Lopardo; Frédéric Precioso; Damien Garreau (CoRR, 2023)

Faithful and Robust Local Interpretability for Textual Predictions. - Gianluigi Lopardo; Frédéric Precioso; Damien Garreau (CoRR, 2023)

Attention Meets Post-hoc Interpretability: A Mathematical Perspective. - Gianluigi Lopardo; Frédéric Precioso; Damien Garreau (ICML, 2024)

Foundations of machine learning interpretability. (Fondements de l'interprétabilité de l'apprentissage automatique). - Gianluigi Lopardo (2024)