| 2026 | ISMIS | Diagnosing Hallucinations in RAG-Based Educational Recommendation Systems: A Controlled Comparative Study. | Ichrak Ennaceur, Haytham Elghazel, Alexandre Aussem, Guillaume Lefebvre, Matthieu Sonnati |
| 2025 | AICCSA | Prompt-Based Recommendation with In-Context Learning and Category-Enriched Modeling. | Ichrak Ennaceur, Haytham Elghazel, Alexandre Aussem, Guillaume Lefebvre, Matthieu Sonnati |
| 2025 | ICDAR | Rx-PAD: Recognition and eXtraction - A Dataset for Prescription Analysis and Clinical Data Structuring. | Jonathan Pattin Cottet, Vronique Eglin, Alexandre Aussem |
| 2025 | WISE | CLARE: A Category-Aware RAG-Based Framework for Recommending Learning Objects in Education and Professional Training. | Ichrak Ennaceur, Haytham Elghazel, Alexandre Aussem, Guillaume Lefebvre, Matthieu Sonnati |
| 2023 | SAC | BERTEPro : A new Sentence Embedding Framework for the Education and Professional Training domain. | Guillaume Lefebvre, Haytham Elghazel, Thodore Guillet, Alexandre Aussem, Matthieu Sonnati |
| 2022 | IJCNN | Nonparametric neural topic modeling for customer insight extraction about the tire industry. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2021 | MDAI | Neural Embedded Dirichlet Processes for Topic Modeling. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2019 | ICDAR | Recurrent Neural Network Approach for Table Field Extraction in Business Documents. | Clment Sage, Alexandre Aussem, Haytham Elghazel, Vronique Eglin, Jrmy Espinas |
| 2016 | ICDM | A Semi-Supervised Ensemble Approach for Multi-label Learning. | Ouadie Gharroudi, Haytham Elghazel, Alexandre Aussem |
| 2015 | ICML | On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property. | Maxime Gasse, Alexandre Aussem, Haytham Elghazel |
| 2008 | ESANN | SOM based clustering with instance-level constraints. | Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem |
| 2008 | ESANN | Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification. | Sergio Rodrigues de Morais, Alexandre Aussem, Marilys Corbex |
| 2006 | ESANN | Modelling switching dynamics using prediction experts operating on distinct wavelet scales. | Alexandre Aussem, Pierre Chainais |
| 2006 | ESANN | Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints. | Antoine Mahul, Alexandre Aussem |
| 2006 | ESANN | Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system. | Zahra Hamou Mamar, Pierre Chainais, Alexandre Aussem |