Béatrice Duval

Orcid: 0000-0002-1400-4163

According to our database1, Béatrice Duval authored at least 52 papers between 1985 and 2022.

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

Timeline

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Bibliography

2022
Frequent Pattern-Based Search: A Case Study on the Quadratic Assignment Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2022

2021
Population-based gradient descent weight learning for graph coloring problems.
Knowl. Based Syst., 2021

Evolutionary Local Search Algorithm for the biclustering of gene expression data based on biological knowledge.
Appl. Soft Comput., 2021

Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation.
J. Cheminformatics, 2020

2019
Evolutionary biclustering algorithms: an experimental study on microarray data.
Soft Comput., 2019

Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring.
CoRR, 2019

Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations.
Proceedings of the Advances in Knowledge Discovery and Management, 2019

Des réseaux de neurones pour prédire des distances interatomiques extraites d'une base de données ouverte de calculs en chimie quantique.
Proceedings of the Extraction et Gestion des connaissances, 2019

2018
Large scale study of anti-sense regulation by differential network analysis.
BMC Syst. Biol., 2018

Improving probability learning based local search for graph coloring.
Appl. Soft Comput., 2018

2017
Opposition-Based Memetic Search for the Maximum Diversity Problem.
IEEE Trans. Evol. Comput., 2017

When data mining meets optimization: A case study on the quadratic assignment problem.
CoRR, 2017

Differential Network Analysis of Anti-sense Regulation.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Reinforcement learning based local search for grouping problems: A case study on graph coloring.
Expert Syst. Appl., 2016

Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sense Transcription.
Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

Inference and differential analysis of Extended Core Networks: A way to study anti-sense regulation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Identifying cancer-related microRNAs based on gene expression data.
Bioinform., 2015

2014
In silico evaluation of the influence of the translocon on partitioning of membrane segments.
BMC Bioinform., 2014

Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2014

A Probabilistic Semantics for Cognitive Maps.
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014

Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities.
Proceedings of the ICAART 2014, 2014

2013
NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference.
Bioinform., 2013

2012
Les travaux de Pascal Nicolas. Interrogation, induction et déduction automatiques pour le raisonnement non monotone... et plus encore.
Rev. d'Intelligence Artif., 2012

A Genetic Algorithm for Scale-Based Translocon Simulation.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

2011
Hybrid Filter-Wrapper with a Specialized Random Multi-Parent Crossover Operator for Gene Selection and Classification Problems.
Proceedings of the Bio-Inspired Computing and Applications, 2011

Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010
A hybrid LDA and genetic algorithm for gene selection and classification of microarray data.
Neurocomputing, 2010

Advances in metaheuristics for gene selection and classification of microarray data.
Briefings Bioinform., 2010

A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination.
Proceedings of the Evolutionary Computation, 2010

2009
New Extended and Quantified Constraints in XML Schema.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

A memetic algorithm for gene selection and molecular classification of cancer.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Fuzzy Logic for Elimination of Redundant Information of Microarray Data.
Genom. Proteom. Bioinform., 2008

Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

A Non-parametric Semi-supervised Discretization Method.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

SVM-Based Local Search for Gene Selection and Classification of Microarray Data.
Proceedings of the Bioinformatics Research and Development, 2008

2007
On the Discovery of Exception Rules: A Survey.
Proceedings of the Quality Measures in Data Mining, 2007

A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data.
Proceedings of the Evolutionary Computation, 2007

Pre-processing task for integration of semi-structured data in decision-support system.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

A Study of Crossover Operators for Gene Selection of Microarray Data.
Proceedings of the Artificial Evolution, 2007

2006
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data.
Proceedings of the Applications of Evolutionary Computing, 2006

2004
Interactive Refinement of a Knowledge Base.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2002
Validation and Reparation of Knowledge Bases.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

2001
Representation of Incomplete Knowledge by Induction of Default Theories.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2001

A Priori Revision.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

1999
Learning Default Theories.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

1995
Lukaszewicz' Default Logic: A Theorem Prover Based on SLD-Resolution for Open Default Theory.
Proceedings of the Second World Conference on the Fundamentals of Artificial Intelligence, 1995

Logique des défauts de Lukaszewicz : un démonstrateur basé sur la SLD-résolution pour les théories ouvertes.
Proceedings of the JFPLC'95, 1995

A Theorem Prover for Lukaszewicz' Open Default Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

1991
Abduction and Induction for Explanation-Based Learning.
Proceedings of the Machine Learning, 1991

1986
Automated Deduction in an Uncertain and Inconsistent Data Basis.
Proceedings of the Advances in Artificial Intelligence II, 1986

1985
Une solution Prolog au problème de Schubert.
Proceedings of the SPLT'85, 1985


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