| 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 | Exploring the Parameterized Complexity of TSP Operators in Multi-Objective Optimization. | Narges Tavassoli Kejani, Julien Baste, Marie-Emilie Voge, Marie-Elonore Kessaci, Laetitia Jourdan |
| 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 |
| 2025 | GECCO | Generalizing the Structure of a University Timetabling Solver for Flexible Automatic Algorithm Configuration. | Thomas Feutrier, Nadarajen Veerapen, Marie-Elonore Kessaci |
| 2024 | PPSN | Solution-Based Knowledge Discovery for Multi-objective Optimization. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2023 | CEC | When Simpler is Better: Automated Configuration of a University Timetabling Solver. | Thomas Feutrier, Nadarajen Veerapen, Marie-Elonore Kessaci |
| 2023 | EMO | Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2023 | GECCO | Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. | Thomas Feutrier, Nadarajen Veerapen, Marie-Elonore Kessaci |
| 2022 | GECCO | Exploiting landscape features for fitness prediction in university timetabling. | Thomas Feutrier, Nadarajen Veerapen, Marie-Elonore Kessaci |
| 2022 | GECCO | Enhancing MOEA/D with learning: application to routing problems with time windows. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2022 | PPSN | Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. | Thomas Feutrier, Marie-Elonore Kessaci, Nadarajen Veerapen |
| 2021 | CEC | Local Optima Network Sampling for Permutation Flowshop. | Lucas Marcondes Pavelski, Marie-Elonore Kessaci, Myriam R. B. S. Delgado |
| 2021 | GECCO | Investigating the landscape of a hybrid local search approach for a timetabling problem. | Thomas Feutrier, Marie-Elonore Kessaci, Nadarajen Veerapen |
| 2021 | HIS | Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm. | Weerapan Sae-Dan, Marie-Elonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan |
| 2021 | ICTAI | AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. | Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Elonore Kessaci |
| 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 | GECCO | Time-dependent automatic parameter configuration of a local search algorithm. | Weerapan Sae-Dan, Marie-Elonore Kessaci, Nadarajen Veerapen, 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 |
| 2019 | EMO | Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. | Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2019 | GECCO | Meta-learning on flowshop using fitness landscape analysis. | Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Elonore Kessaci |
| 2019 | ICTAI | TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. | Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2018 | CEC | Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees. | Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Elonore Kessaci |
| 2018 | ICTAI | Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. | Aymeric Blot, Holger H. Hoos, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2018 | PPSN | New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. | Aymeric Blot, Manuel Lpez-Ibez, Marie-Elonore Kessaci, Laetitia Jourdan |