Julien Taillard

According to our database, Julien Taillard authored at least 11 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2021

A Deep Learning Framework for Automated ICD-10 Coding.

Abdelahad Chraibi, David Delerue, Julien Taillard, Ismat Chaib Draa, Régis Beuscart, Arnaud Hansske

Proceedings of the Public Health and Informatics, 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.

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

2017

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

2016

A Scalable Biclustering Method for Heterogeneous Medical Data.

Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Machine Learning, Optimization, and Big Data, 2016

2015

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

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

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.

Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

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

Proceedings of the Quality of Life through Quality of Information, 2012

2008

A Graphical Framework for High Performance Computing Using An MDE Approach.

Julien Taillard, Frédéric Guyomarc'h, Jean-Luc Dekeyser

Proceedings of the 16th Euromicro International Conference on Parallel, 2008

2007

Repetitive Allocation Modelling with MARTE.

Pierre Boulet, Philippe Marquet, Éric Piel, Julien Taillard

Proceedings of the Forum on specification and Design Languages, 2007