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2020 – today
- 2024
[c6]Robin Cugny
, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
Towards Regional Explanations with Validity Domains for Local Explanations. DaWaK 2024: 147-161- [c5]Yacine Mokhtari, Robin Cugny, Nabil El Malki, Julien Aligon, Max Chevalier, Olivier Teste:
Vers un clustering interactif assisté par l'explicabilité. EGC 2024: 287-294 - 2023
- [c4]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: Un cadre pour sélectionner automatiquement la solution d'XAI la plus adaptée. EGC 2023: 491-498 - [i3]Robin Cugny, Emmanuel Doumard, Elodie Escriva, Haomiao Wang:
L'explicabilité au service de l'extraction de connaissances : application à des données médicales. CoRR abs/2302.02653 (2023) - [i2]Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
DECWA : Density-Based Clustering using Wasserstein Distance. CoRR abs/2310.16552 (2023) - 2022
- [c3]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. CIKM 2022: 315-324 - [i1]Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions. CoRR abs/2210.02795 (2022) - 2021
- [c2]Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data. DaWaK 2021: 167-179 - 2020
- [c1]Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
DECWA: Density-Based Clustering using Wasserstein Distance. CIKM 2020: 2005-2008
Coauthor Index
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