Elodie Escriva

According to our database, Elodie Escriva authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., March, 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

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

Proceedings of the New Trends in Database and Information Systems, 2023

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

Proceedings of the Advances in Databases and Information Systems, 2023

2022

Coalitional Strategies for Efficient Individual Prediction Explanation.

Gabriel Ferrettini, Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy

Inf. Syst. Frontiers, 2022

Local Explanation-Based Method for Healthcare Risk Stratification.

Jean-Baptiste Excoffier, Elodie Escriva, Julien Aligon, Matthieu Ortala

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Stratégies coalitionnelles pour une explication efficace des prédictions individuelles.

Elodie Escriva, Gabriel Ferrettini, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy

Proceedings of the Extraction et Gestion des Connaissances, 2022

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

Proceedings of the 24th International Workshop on Design, 2022