| A Knowledge Graph Enhanced Learner Model to Predict Outcomes to Questions in the Medical Field A Ettorre, O Rocha Rodríguez, C Faron, F Michel, F Gandon International Conference on Knowledge Engineering and Knowledge Management …, 2020 | 11 | 2020 |
| Stunning Doodle: a Tool for Joint Visualization and Analysis of Knowledge Graphs and Graph Embeddings A Ettorre, A Bobasheva, F Michel, C Faron European Semantic Web Conference, 370-386, 2022 | 5 | 2022 |
| A systematic approach to identify the information captured by Knowledge Graph Embeddings A Ettorre, A Bobasheva, C Faron, F Michel IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021 | 4 | 2021 |
| Prediction of students’ performance in e-learning environments based on link prediction in a knowledge graph A Ettorre, F Michel, C Faron International Conference on Artificial Intelligence in Education, 432-435, 2022 | 2 | 2022 |
| Biodiversity Knowledge Graphs: Time to move up a gear! F Michel, A Ettorre, C Faron, J Kaplan, O Gargominy Biodiversity Information Science and Standards 5, e73699, 2021 | 1 | 2021 |
| Towards a Linked Open Code AEA Djebri, A Ettorre, J Mortara European Semantic Web Conference, 497-505, 2021 | 1 | 2021 |
| Towards an interpretable model of learners in a learning environment based on knowledge graphs A Ettorre Université Côte d'Azur, 2022 | | 2022 |
| Stunning Doodle: un outil pour la visualisation et l'analyse conjointe de graphes de connaissances et leurs plongements A Ettorre, A Bobasheva, F Michel, C Faron Journées francophones d’Ingénierie des Connaissances (PFIA 2022), 2022 | | 2022 |
| Assisting Biologists in Editing Taxonomic Information by Confronting Multiple Data Sources using Linked Data Standards F Michel, S Tercerie, A Ettorre, O Gargominy, CF Zucker Biodiversity Next 3 (37421), 2019 | | 2019 |
