Béatrice Duval

Publication Activity (10 Years)

Years Active: 1985-2022
Publications (10 Years): 19

Top Topics

Microarray Data

Biclustering Algorithms

Top Venues

Appl. Soft Comput.

Publications

Yangming Zhou, Jin-Kao Hao, Béatrice Duval
Frequent Pattern-Based Search: A Case Study on the Quadratic Assignment Problem. IEEE Trans. Syst. Man Cybern. Syst. 52 (3) (2022)
Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Béatrice Duval
Evolutionary Local Search Algorithm for the biclustering of gene expression data based on biological knowledge. Appl. Soft Comput. 104 (2021)
Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. ICTAI (2021)
Olivier Goudet, Béatrice Duval, Jin-Kao Hao
Population-based gradient descent weight learning for graph coloring problems. Knowl. Based Syst. 212 (2021)
Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. CoRR (2021)
Jules Leguy, Thomas Cauchy, Marta Glavatskikh, Béatrice Duval, Benoit Da Mota
EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation. J. Cheminformatics 12 (1) (2020)
Olivier Goudet, Béatrice Duval, Jin-Kao Hao
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring. CoRR (2019)
Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Béatrice Duval
Evolutionary biclustering algorithms: an experimental study on microarray data. Soft Comput. 23 (17) (2019)
Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota
Des réseaux de neurones pour prédire des distances interatomiques extraites d'une base de données ouverte de calculs en chimie quantique. EGC (2019)
Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota
Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations. EGC (best of volume) (2019)
Marc Legeay, Sébastien Aubourg, Jean-Pierre Renou, Béatrice Duval
Large scale study of anti-sense regulation by differential network analysis. BMC Syst. Biol. 12 (5) (2018)
Yangming Zhou, Béatrice Duval, Jin-Kao Hao
Improving probability learning based local search for graph coloring. Appl. Soft Comput. 65 (2018)
Yangming Zhou, Jin-Kao Hao, Béatrice Duval
Opposition-Based Memetic Search for the Maximum Diversity Problem. IEEE Trans. Evol. Comput. 21 (5) (2017)
Marc Legeay, Béatrice Duval, Jean-Pierre Renou
Differential Network Analysis of Anti-sense Regulation. IWBBIO (2) (2017)
Yangming Zhou, Jin-Kao Hao, Béatrice Duval
When data mining meets optimization: A case study on the quadratic assignment problem. CoRR (2017)
Marc Legeay, Béatrice Duval, Jean-Pierre Renou
Inference and differential analysis of Extended Core Networks: A way to study anti-sense regulation. BIBM (2016)
Marc Legeay, Béatrice Duval, Jean-Pierre Renou
Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sense Transcription. ISBRA (2016)
Yangming Zhou, Jin-Kao Hao, Béatrice Duval
Reinforcement learning based local search for grouping problems: A case study on graph coloring. Expert Syst. Appl. 64 (2016)
Yangming Zhou, Jin-Kao Hao, Béatrice Duval
Reinforcement learning based local search for grouping problems: A case study on graph coloring. CoRR (2016)
Xing-Ming Zhao, Keqin Liu, Guanghui Zhu, Feng He, Béatrice Duval, Jean-Michel Richer, De-Shuang Huang, Changjun Jiang, Jin-Kao Hao, Luonan Chen
Identifying cancer-related microRNAs based on gene expression data. Bioinform. 31 (8) (2015)
Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau
Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities. ICAART (1) (2014)
Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau
A Probabilistic Semantics for Cognitive Maps. ICAART (Revised Selected Papers) (2014)
Dominique Tessier, Sami Laroum, Béatrice Duval, Emma M. Rath, W. Bret Church, Jin-Kao Hao
In silico evaluation of the influence of the translocon on partitioning of membrane segments. BMC Bioinform. 15 (2014)
Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Béatrice Duval
Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data. PRIB (2014)
Xiujun Zhang, Keqin Liu, Zhi-Ping Liu, Béatrice Duval, Jean-Michel Richer, Xing-Ming Zhao, Jin-Kao Hao, Luonan Chen
NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference. Bioinform. 29 (1) (2013)
Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao
A Genetic Algorithm for Scale-Based Translocon Simulation. PRIB (2012)
Béatrice Duval, Laurent Garcia, Claire Lefèvre, Igor Stéphan
Les travaux de Pascal Nicolas. Interrogation, induction et déduction automatiques pour le raisonnement non monotone... et plus encore. Rev. d'Intelligence Artif. 26 (1-2) (2012)
Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao
Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments. EvoBio (2011)
Edmundo Bonilla Huerta, Béatrice Duval, José Crispín Hernández Hernández, Jin-Kao Hao, Roberto Morales-Caporal
Hybrid Filter-Wrapper with a Specialized Random Multi-Parent Crossover Operator for Gene Selection and Classification Problems. ICIC (3) (2011)
Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao
A hybrid LDA and genetic algorithm for gene selection and classification of microarray data. Neurocomputing 73 (13-15) (2010)
Sami Laroum, Dominique Tessier, Béatrice Duval, Jin-Kao Hao
A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination. EvoBIO (2010)
Béatrice Duval, Jin-Kao Hao
Advances in metaheuristics for gene selection and classification of microarray data. Briefings Bioinform. 11 (1) (2010)
Béatrice Duval, Jin-Kao Hao, José Crispín Hernández Hernández
A memetic algorithm for gene selection and molecular classification of cancer. GECCO (2009)
Amandine Duffoux, Béatrice Duval, Stéphane Loiseau
New Extended and Quantified Constraints in XML Schema. ICAART (2009)
Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao
Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm. PRIB (2008)
José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao
SVM-Based Local Search for Gene Selection and Classification of Microarray Data. BIRD (2008)
Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval
A Non-parametric Semi-supervised Discretization Method. ICDM (2008)
Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao
Fuzzy Logic for Elimination of Redundant Information of Microarray Data. Genom. Proteom. Bioinform. 6 (2) (2008)
José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao
A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data. EvoBIO (2007)
Amandine Duffoux, Béatrice Duval, Stéphane Loiseau
Pre-processing task for integration of semi-structured data in decision-support system. Artificial Intelligence and Applications (2007)
José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao
A Study of Crossover Operators for Gene Selection of Microarray Data. Artificial Evolution (2007)
Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data. EvoWorkshops (2006)
R. Djelouah, Béatrice Duval, Stéphane Loiseau
Interactive Refinement of a Knowledge Base. FLAIRS Conference (2004)
R. Djelouah, Béatrice Duval, Stéphane Loiseau
Validation and Reparation of Knowledge Bases. ISMIS (2002)
Florence Dupin de Saint-Cyr, Béatrice Duval, Stéphane Loiseau
A Priori Revision. ECSQARU (2001)
Pascal Nicolas, Béatrice Duval
Representation of Incomplete Knowledge by Induction of Default Theories. LPNMR (2001)
Béatrice Duval, Pascal Nicolas
Learning Default Theories. ESCQARU (1999)
Pascal Nicolas, Béatrice Duval
Logique des défauts de Lukaszewicz : un démonstrateur basé sur la SLD-résolution pour les théories ouvertes. JFPLC (1995)
Pascal Nicolas, Béatrice Duval
Lukaszewicz' Default Logic: A Theorem Prover Based on SLD-Resolution for Open Default Theory. WOCFAI (1995)
Pascal Nicolas, Béatrice Duval
A Theorem Prover for Lukaszewicz' Open Default Theory. ECSQARU (1995)
Béatrice Duval
Abduction and Induction for Explanation-Based Learning. EWSL (1991)
Béatrice Duval, Yves Kodratoff
Automated Deduction in an Uncertain and Inconsistent Data Basis. ECAI (1986)
Béatrice Duval, J. Y. Cras
Une solution Prolog au problème de Schubert. SPLT (1985)