Julie Jacques - RankMe

25 papers A 2B 3Journal 8Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy. Int. Trans. Oper. Res. Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan
2024	—	`conf`	Extracting White-Box Knowledge from Word Embedding: Modeling as an Optimization Problem. MIC (1) Julie Jacques, Alexander Bassett
2024	A	`conf`	HBIC: A Biclustering Algorithm for Heterogeneous Datasets. ECAI Adán José García, Julie Jacques, Clément Chauvet, Vincent Sobanski, Clarisse Dhaenens
2024	J	`jnl`	HBIC: A Biclustering Algorithm for Heterogeneous Datasets. CoRR Adán José García, Julie Jacques, Clément Chauvet, Vincent Sobanski, Clarisse Dhaenens
2024	J	`jnl`	Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities. ACM Comput. Surv. Adán José García, Julie Jacques, Vincent Sobanski, Clarisse Dhaenens
2023	B	`conf`	An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. CEC Meyssa Zouambi, Clarisse Dhaenens, Julie Jacques
2022	J	`jnl`	A Biclustering Method for Heterogeneous and Temporal Medical Data. IEEE Trans. Knowl. Data Eng. Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens
2022	—	`conf`	A Multi-Objective E-learning Recommender System at Mandarine Academy. MORS@RecSys Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan
2022	J	`jnl`	Biclustering Algorithms Based on Metaheuristics: A Review. CoRR Adán José García, Julie Jacques, Vincent Sobanski, Clarisse Dhaenens
2022	—	`conf`	LS-PON: A Prediction-Based Local Search for Neural Architecture Search. LOD (1) Meyssa Zouambi, Julie Jacques, Clarisse Dhaenens
2022	—	`conf`	Multi-objective recommender system for corporate MOOC. GECCO Companion Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan
2022	—	`conf`	Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. PPSN (2) Adán José García, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens
2021	B	`conf`	A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. CEC Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan
2020	—	`conf`	Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	—	`conf`	Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm. LION Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	B	`conf`	Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. CEC Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	J	`jnl`	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. Int. J. Medical Informatics Julie Jacques, Hélène Martin-Huyghe, Justine Lemtiri-Florek, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens, David Delerue, Arnaud Hansske, Valérie Leclercq
2017	J	`jnl`	Extraction and optimization of classification rules for temporal sequences: Application to hospital data. Knowl. Based Syst. Maxence Vandromme, Julie Jacques, Julien Taillard, Arnaud Hansske, Laetitia Vermeulen-Jourdan, Clarisse Dhaenens
2016	—	`conf`	A Scalable Biclustering Method for Heterogeneous Medical Data. MOD Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens
2015	J	`jnl`	Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets. Appl. Soft Comput. Julie Jacques, Julien Taillard, David Delerue, Clarisse Dhaenens, Laetitia Jourdan
2015	—	`ch.`	Knowledge Discovery in Bioinformatics. Handbook of Computational Intelligence Julie Hamon, Julie Jacques, Laetitia Jourdan, Clarisse Dhaenens
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	—	`conf`	MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets. LION Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens
2013	A	`conf`	The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. GECCO Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens
2012	—	`conf`	Comparing Drools and ontology reasoning approaches for telecardiology decision support. MIE Pascal Van Hille, Julie Jacques, Julien Taillard, Arnaud Rosier, David Delerue, Anita Burgun, Olivier Dameron