Comparing Drools and ontology reasoning approaches for telecardiology decision support. - Pascal Van Hille; Julie Jacques; Julien Taillard; Arnaud Rosier; David Delerue; Anita Burgun; Olivier Dameron (MIE, 2012)

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 (GECCO, 2013)

MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets. - Julie Jacques; Julien Taillard; David Delerue; Laetitia Jourdan; Clarisse Dhaenens (LION, 2013)

Classification sur données médicales à l'aide de méthodes d'optimisation et de datamining, appliquée au pré-screening dans les essais cliniques. (Classification of medical data using optimization methods applied to patient screening in clinical trials.). - Julie Jacques (2013)

Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets. - Julie Jacques; Julien Taillard; David Delerue; Clarisse Dhaenens; Laetitia Jourdan (Appl. Soft Comput., 2015)

Knowledge Discovery in Bioinformatics. - Julie Hamon; Julie Jacques; Laetitia Jourdan; Clarisse Dhaenens (Handbook of Computational Intelligence, 2015)

A Scalable Biclustering Method for Heterogeneous Medical Data. - Maxence Vandromme; Julie Jacques; Julien Taillard; Laetitia Jourdan; Clarisse Dhaenens (MOD, 2016)

Extraction and optimization of classification rules for temporal sequences: Application to hospital data. - Maxence Vandromme; Julie Jacques; Julien Taillard; Arnaud Hansske; Laetitia Vermeulen-Jourdan; Clarisse Dhaenens (Knowl. Based Syst., 2017)

Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. - Sara Tari; Nicolas Szczepanski; Lucien Mousin; Julie Jacques; Marie-Eléonore Kessaci; Laetitia Jourdan (CEC, 2020)

Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm. - Sara Tari; Lucien Mousin; Julie Jacques; Marie-Eléonore Kessaci; Laetitia Jourdan (LION, 2020)

Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. - Sara Tari; Holger H. Hoos; Julie Jacques; Marie-Eléonore Kessaci; Laetitia Jourdan (PPSN (1), 2020)

The detection of hospitalized patients at risk of testing positive to multi-drug resistant bacteria using MOCA-I, a rule-based "white-box" classification algorithm for medical data. - Julie Jacques; Hélène Martin-Huyghe; Justine Lemtiri-Florek; Julien Taillard; Laetitia Jourdan; Clarisse Dhaenens; David Delerue; Arnaud Hansske; Valérie Leclercq (Int. J. Medical Informatics, 2020)

A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. - Mounir Hafsa; Pamela Wattebled; Julie Jacques; Laetitia Jourdan (CEC, 2021)

Multi-objective recommender system for corporate MOOC. - Mounir Hafsa; Pamela Wattebled; Julie Jacques; Laetitia Jourdan (GECCO Companion, 2022)

LS-PON: A Prediction-Based Local Search for Neural Architecture Search. - Meyssa Zouambi; Julie Jacques; Clarisse Dhaenens (LOD (1), 2022)

Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. - Adán José García; Julie Jacques; Alexandre Filiot; Julia Handl; David Launay; Vincent Sobanski; Clarisse Dhaenens (PPSN (2), 2022)

A Multi-Objective E-learning Recommender System at Mandarine Academy. - Mounir Hafsa; Pamela Wattebled; Julie Jacques; Laetitia Jourdan (MORS@RecSys, 2022)

Biclustering Algorithms Based on Metaheuristics: A Review. - Adán José García; Julie Jacques; Vincent Sobanski; Clarisse Dhaenens (CoRR, 2022)

A Biclustering Method for Heterogeneous and Temporal Medical Data. - Maxence Vandromme; Julie Jacques; Julien Taillard; Laetitia Jourdan; Clarisse Dhaenens (IEEE Trans. Knowl. Data Eng., 2022)

An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. - Meyssa Zouambi; Clarisse Dhaenens; Julie Jacques (CEC, 2023)

Extracting White-Box Knowledge from Word Embedding: Modeling as an Optimization Problem. - Julie Jacques; Alexander Bassett (MIC (1), 2024)

HBIC: A Biclustering Algorithm for Heterogeneous Datasets. - Adán José García; Julie Jacques; Clément Chauvet; Vincent Sobanski; Clarisse Dhaenens (ECAI, 2024)

Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities. - Adán José García; Julie Jacques; Vincent Sobanski; Clarisse Dhaenens (ACM Comput. Surv., 2024)

Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy. - Mounir Hafsa; Pamela Wattebled; Julie Jacques; Laetitia Jourdan (Int. Trans. Oper. Res., 2025)