| Autoxai: A framework to automatically select the most adapted xai solution R Cugny, J Aligon, M Chevalier, G Roman Jimenez, O Teste Proceedings of the 31st ACM International Conference on Information …, 2022 | 22 | 2022 |
| Decwa: Density-based clustering using wasserstein distance N El Malki, R Cugny, O Teste, F Ravat Proceedings of the 29th ACM International Conference on Information …, 2020 | 6 | 2020 |
| AutoXAI: Un cadre pour sélectionner automatiquement la solution d'XAI la plus adaptée R Cugny, J Aligon, M Chevalier, GR Jimenez, O Teste Conférence Extraction et Gestion des Connaissances (EGC 2023), 491--498, 2023 | 2 | 2023 |
| A new accurate clustering approach for detecting different densities in high dimensional data N El Malki, R Cugny, O Teste, F Ravat Big Data Analytics and Knowledge Discovery: 23rd International Conference …, 2021 | 2 | 2021 |
| Towards Regional Explanations with Validity Domains for Local Explanations R Cugny, J Aligon, M Chevalier, G Roman Jimenez, O Teste International Conference on Big Data Analytics and Knowledge Discovery, 147-161, 2024 | | 2024 |
| Vers un clustering interactif assisté par l'explicabilité Y Mokhtari, R Cugny, N El Malki, J Aligon, M Chevalier, O Teste EGC 2024, 287-294, 2024 | | 2024 |
| L'explicabilit\'e au service de l'extraction de connaissances: application\a des donn\'ees m\'edicales R Cugny, E Doumard, E Escriva, H Wang arXiv preprint arXiv:2302.02653, 2023 | | 2023 |
| Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions R Cugny, J Aligon, M Chevalier, GR Jimenez, O Teste arXiv preprint arXiv:2210.02795, 2022 | | 2022 |