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2020 – today
- 2022
[j16]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): 1503-1515 (2022)- 2021
- [j15]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: 107177 (2021) - [j14]Olivier Goudet, Béatrice Duval, Jin-Kao Hao:
Population-based gradient descent weight learning for graph coloring problems. Knowl. Based Syst. 212: 106581 (2021) - [c33]Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy:
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. ICTAI 2021: 780-785 - [i4]Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota:
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. CoRR abs/2110.03522 (2021) - 2020
- [j13]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): 55 (2020)
2010 – 2019
- 2019
- [j12]Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Béatrice Duval:
Evolutionary biclustering algorithms: an experimental study on microarray data. Soft Comput. 23(17): 7671-7697 (2019) - [c32]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: 9-20 - [c31]Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota:
Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations. EGC (best of volume) 2019: 159-174 - [i3]Olivier Goudet, Béatrice Duval, Jin-Kao Hao:
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring. CoRR abs/1909.02261 (2019) - 2018
- [j11]Yangming Zhou, Béatrice Duval, Jin-Kao Hao:
Improving probability learning based local search for graph coloring. Appl. Soft Comput. 65: 542-553 (2018) - [j10]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): 27-41 (2018) - 2017
- [j9]Yangming Zhou, Jin-Kao Hao, Béatrice Duval:
Opposition-Based Memetic Search for the Maximum Diversity Problem. IEEE Trans. Evol. Comput. 21(5): 731-745 (2017) - [c30]Marc Legeay, Béatrice Duval, Jean-Pierre Renou:
Differential Network Analysis of Anti-sense Regulation. IWBBIO (2) 2017: 277-288 - [i2]Yangming Zhou, Jin-Kao Hao, Béatrice Duval:
When data mining meets optimization: A case study on the quadratic assignment problem. CoRR abs/1708.05214 (2017) - 2016
- [j8]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: 412-422 (2016) - [c29]Marc Legeay, Béatrice Duval, Jean-Pierre Renou:
Inference and differential analysis of Extended Core Networks: A way to study anti-sense regulation. BIBM 2016: 284-287 - [c28]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: 117-126 - [i1]Yangming Zhou, Jin-Kao Hao, Béatrice Duval:
Reinforcement learning based local search for grouping problems: A case study on graph coloring. CoRR abs/1604.00377 (2016) - 2015
- [j7]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): 1226-1234 (2015) - [e7]Béatrice Duval, H. Jaap van den Herik, Stéphane Loiseau, Joaquim Filipe:
Agents and Artificial Intelligence - 6th International Conference, ICAART 2014, Angers, France, March 6-8, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8946, Springer 2015, ISBN 978-3-319-25209-4 [contents] - [e6]Stéphane Loiseau, Joaquim Filipe, Béatrice Duval, H. Jaap van den Herik:
ICAART 2015 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, Lisbon, Portugal, 10-12 January, 2015. SciTePress 2015, ISBN 978-989-758-073-4 [contents] - [e5]Stéphane Loiseau, Joaquim Filipe, Béatrice Duval, H. Jaap van den Herik:
ICAART 2015 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2, Lisbon, Portugal, 10-12 January, 2015. SciTePress 2015, ISBN 978-989-758-074-1 [contents] - [e4]Béatrice Duval, H. Jaap van den Herik, Stéphane Loiseau, Joaquim Filipe:
Agents and Artificial Intelligence - 7th International Conference, ICAART 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9494, Springer 2015, ISBN 978-3-319-27946-6 [contents] - [e3]Ngoc Thanh Nguyen, Ryszard Kowalczyk, Béatrice Duval, H. Jaap van den Herik, Stéphane Loiseau, Joaquim Filipe:
Transactions on Computational Collective Intelligence XX. Lecture Notes in Computer Science 9420, Springer 2015, ISBN 978-3-319-27542-0 [contents] - 2014
- [j6]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: 156 (2014) - [c27]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: 52-62 - [c26]Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau:
A Probabilistic Semantics for Cognitive Maps. ICAART (Revised Selected Papers) 2014: 151-169 - [c25]Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Béatrice Duval:
Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data. PRIB 2014: 48-59 - [e2]Béatrice Duval, H. Jaap van den Herik, Stéphane Loiseau, Joaquim Filipe:
ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence, Volume 1, ESEO, Angers, Loire Valley, France, 6-8 March, 2014. SciTePress 2014, ISBN 978-989-758-015-4 [contents] - [e1]Béatrice Duval, H. Jaap van den Herik, Stéphane Loiseau, Joaquim Filipe:
ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence, Volume 2, ESEO, Angers, Loire Valley, France, 6-8 March, 2014. SciTePress 2014, ISBN 978-989-758-016-1 [contents] - 2013
- [j5]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): 106-113 (2013) - 2012
- [j4]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): 11-38 (2012) - [c24]Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao:
A Genetic Algorithm for Scale-Based Translocon Simulation. PRIB 2012: 26-37 - 2011
- [c23]Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao:
Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments. EvoBio 2011: 111-122 - [c22]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: 453-461 - 2010
- [j3]Béatrice Duval, Jin-Kao Hao:
Advances in metaheuristics for gene selection and classification of microarray data. Briefings Bioinform. 11(1): 127-141 (2010) - [j2]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): 2375-2383 (2010) - [c21]Sami Laroum, Dominique Tessier, Béatrice Duval, Jin-Kao Hao:
A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination. EvoBIO 2010: 134-145
2000 – 2009
- 2009
- [c20]Béatrice Duval, Jin-Kao Hao, José Crispín Hernández Hernández:
A memetic algorithm for gene selection and molecular classification of cancer. GECCO 2009: 201-208 - [c19]Amandine Duffoux, Béatrice Duval, Stéphane Loiseau:
New Extended and Quantified Constraints in XML Schema. ICAART 2009: 261-266 - 2008
- [j1]Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao:
Fuzzy Logic for Elimination of Redundant Information of Microarray Data. Genom. Proteom. Bioinform. 6(2): 61-73 (2008) - [c18]José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao:
SVM-Based Local Search for Gene Selection and Classification of Microarray Data. BIRD 2008: 499-508 - [c17]Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval:
A Non-parametric Semi-supervised Discretization Method. ICDM 2008: 53-62 - [c16]Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao:
Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm. PRIB 2008: 250-261 - 2007
- [c15]José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao:
A Study of Crossover Operators for Gene Selection of Microarray Data. Artificial Evolution 2007: 243-254 - [c14]Amandine Duffoux, Béatrice Duval, Stéphane Loiseau:
Pre-processing task for integration of semi-structured data in decision-support system. Artificial Intelligence and Applications 2007: 642-647 - [c13]José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao:
A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data. EvoBIO 2007: 90-101 - [p1]Béatrice Duval, Ansaf Salleb, Christel Vrain:
On the Discovery of Exception Rules: A Survey. Quality Measures in Data Mining 2007: 77-98 - 2006
- [c12]Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao:
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data. EvoWorkshops 2006: 34-44 - 2004
- [c11]R. Djelouah, Béatrice Duval, Stéphane Loiseau:
Interactive Refinement of a Knowledge Base. FLAIRS 2004: 325-330 - 2002
- [c10]R. Djelouah, Béatrice Duval, Stéphane Loiseau:
Validation and Reparation of Knowledge Bases. ISMIS 2002: 312-320 - 2001
- [c9]Florence Dupin de Saint-Cyr, Béatrice Duval, Stéphane Loiseau:
A Priori Revision. ECSQARU 2001: 488-497 - [c8]Pascal Nicolas, Béatrice Duval:
Representation of Incomplete Knowledge by Induction of Default Theories. LPNMR 2001: 160-172
1990 – 1999
- 1999
- [c7]Béatrice Duval, Pascal Nicolas:
Learning Default Theories. ESCQARU 1999: 148-159 - 1995
- [c6]Pascal Nicolas, Béatrice Duval:
A Theorem Prover for Lukaszewicz' Open Default Theory. ECSQARU 1995: 311-319 - [c5]Pascal Nicolas, Béatrice Duval:
Logique des défauts de Lukaszewicz : un démonstrateur basé sur la SLD-résolution pour les théories ouvertes. JFPLC 1995: 275-289 - [c4]Pascal Nicolas, Béatrice Duval:
Lukaszewicz' Default Logic: A Theorem Prover Based on SLD-Resolution for Open Default Theory. WOCFAI 1995: 281-293 - 1991
- [c3]Béatrice Duval:
Abduction and Induction for Explanation-Based Learning. EWSL 1991: 348-360
1980 – 1989
- 1986
- [c2]Béatrice Duval, Yves Kodratoff:
Automated Deduction in an Uncertain and Inconsistent Data Basis. ECAI 1986: 297-304 - 1985
- [c1]Béatrice Duval, J. Y. Cras:
Une solution Prolog au problème de Schubert. SPLT 1985
Coauthor Index
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