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A Biclustering Method for Heterogeneous and Temporal Medical Data

Maxence Vandromme , Julie Jacques , Julien Taillard , Laetitia Jourdan , Clarisse Dhaenens et al.
IEEE Transactions on Knowledge and Data Engineering, 2022, 34 (2), pp.506-518. ⟨10.1109/TKDE.2020.2983692⟩
Journal articles hal-02927063v1

Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data

Sara Tari , Nicolas Szczepanski , Lucien Mousin , Julie Jacques , Marie-Eléonore Kessaci et al.
2020 IEEE Congress on Evolutionary Computation (CEC), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/CEC48606.2020.9185785⟩
Conference papers hal-02935096v1

Handling numerical data to evolve classification rules using a Multi-Objective Local Search

Maxence Vandromme , Julie Jacques , Julien Taillard , Clarisse Dhaenens , Laetitia Jourdan et al.
Metaheuristics International Conference (MIC), Jun 2015, Agadir, Morocco. pp.10
Conference papers hal-01249092v1

Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification

Sara Tari , Holger Hoos , Julie Jacques , Marie-Eléonore Kessaci , Laetitia Jourdan et al.
PPSN 2020, Sep 2020, Leiden, Netherlands. pp.65-77, ⟨10.1007/978-3-030-58112-1_5⟩
Conference papers hal-02932462v1
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Classification sur données médicales à l'aide de méthodes d'optimisation et de datamining, appliquée au pré-screening dans les essais cliniques

Julie Jacques
Apprentissage [cs.LG]. Université des Sciences et Technologie de Lille - Lille I, 2013. Français. ⟨NNT : ⟩
Theses tel-00919876v1

Remote Monitoring of Cardiac Implantable Devices: Ontology Driven Classification of the Alerts

Arnaud Rosier , Philippe Mabo , Lynda Temal , Pascal van Hille , Olivier Dameron et al.
Studies in Health Technology and Informatics, 2016, 221, pp.59--63. ⟨10.3233/978-1-61499-633-0-59⟩
Journal articles hal-01319949v1

Extension des critères d'inclusions dans les essais cliniques à l'aide de méthodes d'optimisation

Julie Jacques , David Delerue , Laetitia Jourdan , Clarisse Dhaenens
ROADEF 2011: 12e congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, Mar 2011, Saint-Étienne, France
Conference papers hal-00639523v1

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 et al.
LION 2020 - Learning and Intelligent Optimization, 2020, Athens, Greece. pp.151-157, ⟨10.1007/978-3-030-53552-0_16⟩
Conference papers hal-02927503v1

Organizing Smart Buildings and Cities

Véronique Flambard , Nicolas Gouvy , Julie Jacques , Elisabetta Magnaghi , Daniela Mancini et al.
Springer International Publishing, pp.184, 2021, 978-3-030-60607-7. ⟨10.1007/978-3-030-60607-7⟩
Books hal-03279360v1

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 et al.
Genetic and Evolutionary Computation Conference (GECCO 2013), Jul 2013, Amsterdam, Netherlands. pp.543-550
Conference papers hal-00806777v1

Une approche évolutionnaire multiobjectif pour la planification des cours professionnels

Hasfa Mounir , Pamela Wattebled , Julie Jacques , Laetitia Jourdan
ROADEF 2021, Apr 2021, Mulhouse, France
Conference papers hal-03472237v1

Impact de la discrétisation des données numériques sur l’efficacité d’un algorithme de classification par métaheuristique

Maxence Vandromme , Julie Jacques , Julien Taillard , Laetitia Jourdan , Clarisse Dhaenens et al.
Conference ROADEF 2015, Feb 2015, Marseille, France
Conference papers hal-01249097v1

Knowledge Discovery in Bioinformatics

Julie Hamon , Julie Jacques , Laetitia Jourdan , Clarisse Dhaenens
Springer Handbook of Computational Intelligence, pp.1211--1223, 2015, ⟨10.1007/978-3-662-43505-2_61⟩
Book sections hal-01216511v1
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Personalized and automated remote monitoring of atrial fibrillation

Arnaud Rosier , Philippe Mabo , Lynda Temal , Pascal van Hille , Olivier Dameron et al.
EP-Europace, 2016, 18 (3), pp.347-352. ⟨10.1093/europace/euv234⟩
Journal articles hal-01331019v1

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 et al.
Applied Soft Computing, 2015, 34, pp.705--720. ⟨10.1016/j.asoc.2015.06.002⟩
Journal articles hal-01216483v1
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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 et al.
Learning and Intelligent OptimizatioN Conference (LION 7), Jan 2013, Catania, Italy. pp.37-51
Conference papers hal-00806757v1
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Multi-objective local search for mining Pittsburgh classification rules

Julie Jacques , Julien Taillard , David Delerue , Laetitia Jourdan , Clarisse Dhaenens et al.
International Conference on Metaheuristics and Nature Inspired Computing, Oct 2012, Port El-Kantaoui, Tunisia
Conference papers hal-00749712v1

Extraction and optimization of classification rules for temporal sequences: Application to hospital data

Maxence Vandromme , Julie Jacques , Julien Taillard , Hansske Arnaud , Laetitia Jourdan et al.
Knowledge-Based Systems, 2017, 122, pp.148-158. ⟨10.1016/j.knosys.2017.02.001⟩
Journal articles hal-01564520v1
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Optimisation multiobjectif pour le diagnostic de pathologies via biomarqueurs

Sara Tari , Laetitia Jourdan , Marie-Eléonore Kessaci , Julie Jacques , Lucien Mousin et al.
Congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF), Feb 2020, Montpellier, France
Conference papers hal-02875059v1