Julie Jacques

Orcid: 0000-0001-6260-9629

Affiliations:
  • Lille University of Science and Technology, France


According to our database1, Julie Jacques authored at least 24 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy.
Int. Trans. Oper. Res., January, 2025

2024
Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities.
ACM Comput. Surv., March, 2024

HBIC: A Biclustering Algorithm for Heterogeneous Datasets.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Extracting White-Box Knowledge from Word Embedding: Modeling as an Optimization Problem.
Proceedings of the Metaheuristics - 15th International Conference, 2024

2023
An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
A Biclustering Method for Heterogeneous and Temporal Medical Data.
IEEE Trans. Knowl. Data Eng., 2022

Biclustering Algorithms Based on Metaheuristics: A Review.
CoRR, 2022

A Multi-Objective E-learning Recommender System at Mandarine Academy.
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

LS-PON: A Prediction-Based Local Search for Neural Architecture Search.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Multi-objective recommender system for corporate MOOC.
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
A Scalable Biclustering Method for Heterogeneous Medical Data.
Proceedings of the Machine Learning, Optimization, and Big Data, 2016

2015
Knowledge Discovery in Bioinformatics.
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


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