A Comparative Study of Additive Local Explanation Methods based on Feature Influences. - Emmanuel Doumard; Julien Aligon; Elodie Escriva; Jean-Baptiste Excoffier; Paul Monsarrat; Chantal Soulé-Dupuy (DOLAP, 2022)

Stratégies coalitionnelles pour une explication efficace des prédictions individuelles. - Elodie Escriva; Gabriel Ferrettini; Julien Aligon; Jean-Baptiste Excoffier; Chantal Soulé-Dupuy (EGC, 2022)

Local Explanation-Based Method for Healthcare Risk Stratification. - Jean-Baptiste Excoffier; Elodie Escriva; Julien Aligon; Matthieu Ortala (MIE, 2022)

Coalitional Strategies for Efficient Individual Prediction Explanation. - Gabriel Ferrettini; Elodie Escriva; Julien Aligon; Jean-Baptiste Excoffier; Chantal Soulé-Dupuy (Inf. Syst. Frontiers, 2022)

How to Make the Most of Local Explanations: Effective Clustering Based on Influences. - Elodie Escriva; Julien Aligon; Jean-Baptiste Excoffier; Paul Monsarrat; Chantal Soulé-Dupuy (ADBIS, 2023)

Data Exploration Based on Local Attribution Explanation: A Medical Use Case. - Elodie Escriva; Emmanuel Doumard; Jean-Baptiste Excoffier; Julien Aligon; Paul Monsarrat; Chantal Soulé-Dupuy (ADBIS (Short Papers), 2023)

L'explicabilité au service de l'extraction de connaissances : application à des données médicales. - Robin Cugny; Emmanuel Doumard; Elodie Escriva; Haomiao Wang (CoRR, 2023)

A quantitative approach for the comparison of additive local explanation methods. - Emmanuel Doumard; Julien Aligon; Elodie Escriva; Jean-Baptiste Excoffier; Paul Monsarrat; Chantal Soulé-Dupuy (Inf. Syst., 2023)

Effective data exploration through clustering of local attributive explanations. - Elodie Escriva; Tom Lefrere; Manon Martin; Julien Aligon; Alexandre Chanson; Jean-Baptiste Excoffier; Nicolas Labroche; Chantal Soulé-Dupuy; Paul Monsarrat (Inf. Syst., 2025)