Julie Jacques
Orcid: 0000-0001-6260-9629Affiliations:
- Lille University of Science and Technology, France
According to our database1,
Julie Jacques
authored at least 21 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities.
ACM Comput. Surv., March, 2024
2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
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.
Int. J. Medical Informatics, 2020
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2017
Extraction and optimization of classification rules for temporal sequences: Application to hospital data.
Knowl. Based Syst., 2017
2016
Proceedings of the Machine Learning, Optimization, and Big Data, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
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., 2015
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.).
PhD thesis, 2013
MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
Comparing Drools and ontology reasoning approaches for telecardiology decision support.
Proceedings of the Quality of Life through Quality of Information, 2012