Robin Cugny

According to our database, Robin Cugny authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Vers un clustering interactif assisté par l'explicabilité.

Yacine Mokhtari, Robin Cugny, Nabil El Malki, Julien Aligon, Max Chevalier, Olivier Teste

Proceedings of the Extraction et Gestion des Connaissances, 2024

Towards Regional Explanations with Validity Domains for Local Explanations.

Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste

Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

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

AutoXAI: Un cadre pour sélectionner automatiquement la solution d'XAI la plus adaptée.

Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions.

Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste

CoRR, 2022

AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution.

Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data.

Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

DECWA: Density-Based Clustering using Wasserstein Distance.

Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020