A Knowledge Graph Enhanced Learner Model to Predict Outcomes to Questions in the Medical Field. - Antonia Ettorre; Oscar Rodríguez Rocha; Catherine Faron; Franck Michel; Fabien Gandon (EKAW, 2020)

Towards a Linked Open Code. - Ahmed El Amine Djebri; Antonia Ettorre; Johann Mortara (ESWC, 2021)

A systematic approach to identify the information captured by Knowledge Graph Embeddings. - Antonia Ettorre; Anna Bobasheva; Catherine Faron; Franck Michel (WI/IAT, 2021)

Prediction of Students' Performance in E-learning Environments Based on Link Prediction in a Knowledge Graph. - Antonia Ettorre; Franck Michel; Catherine Faron (AIED (2), 2022)

Stunning Doodle: A Tool for Joint Visualization and Analysis of Knowledge Graphs and Graph Embeddings. - Antonia Ettorre; Anna Bobasheva; Franck Michel; Catherine Faron (ESWC, 2022)

Towards an interpretable model of learners in a learning environment based on knowledge graphs. (Vers un modèle interprétable pour la prédiction de la performance des apprenants dans un environnement d'apprentissage basée sur l'exploitation de graphes de connaissances). - Antonia Ettorre (2022)