| 2026 | GECCO | Clustering-Guided Knowledge Base for Multi-Objective Rule Mining on Imbalanced Datasets. | Raymonde Akiki, Chantal Saad Hajjar, Maroun Chamoun, Marie-Elonore Kessaci, Julie Jacques |
| 2026 | GECCO | Study of Decomposition and Ants Allocation in Multi-Objective Partial Classification Rule Induction. | Adel Abdelkader Mokadem, Marie-Elonore Kessaci, Laetitia Jourdan, Julie Jacques |
| 2026 | PPSN | Reshaping the Fitness Landscape of Classification Rule Mining for Clinical Natural Language Processing. | Mathilde Lepers, Clarisse Dhaenens, Olivier Caron, Julie Jacques |
| 2026 | PPSN | Multi-objective Approaches for Leakage-Safe Compact Prediction on Temporal Logs. | Qianyun Ye, Mounir Hafsa, Laetitia Jourdan, Clarisse Dhaenens, Julie Jacques |
| 2024 | ECAI | HBIC: A Biclustering Algorithm for Heterogeneous Datasets. | Adn Jos Garca, Julie Jacques, Clment Chauvet, Vincent Sobanski, Clarisse Dhaenens |
| 2023 | CEC | An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. | Meyssa Zouambi, Clarisse Dhaenens, Julie Jacques |
| 2022 | GECCO | Multi-objective recommender system for corporate MOOC. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2022 | PPSN | Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. | Adn Jos Garca, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens |
| 2022 | RecSys | A Multi-Objective E-learning Recommender System at Mandarine Academy. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2021 | CEC | A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2020 | CEC | Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. | Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2020 | PPSN | Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. | Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2013 | GECCO | The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. | Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens |