Taaable 3: Adaptation of ingredient quantities and of textual preparations A Blansché, J Cojan, V Dufour-Lussier, J Lieber, P Molli, E Nauer, ...
18th Int. Conf. on Case-Based Reasoning Workshop Procs, 189-198, 2010
36 2010 Interactive and iterative visual clustering L Boudjeloud-Assala, P Pinheiro, A Blansché, T Tamisier, B Otjacques
Information Visualization 15 (3), 181-197, 2016
31 2016 Using genetic programming for an advanced performance assessment of industrially relevant heterogeneous catalysts LA Baumes, A Blansché, P Serna, A Tchougang, N Lachiche, P Collet, ...
Materials and Manufacturing Processes 24 (3), 282-292, 2009
31 2009 Comparison between two coevolutionary feature weighting algorithms in clustering P Gançarski, A Blansche, A Wania
Pattern Recognition 41 (3), 983-994, 2008
29 2008 MACLAW: A modular approach for clustering with local attribute weighting A Blansché, P Gançarski, JJ Korczak
Pattern Recognition Letters 27 (11), 1299-1306, 2006
29 2006 Mining for reengineering: An application to semantic wikis using formal and relational concept analysis L Shi, Y Toussaint, A Napoli, A Blansché
Extended Semantic Web Conference, 421-435, 2011
17 2011 Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in means -Based Algorithms P Gancarski, A Blansche
IEEE transactions on evolutionary computation 12 (5), 617-629, 2008
16 2008 Classification non supervisée avec pondération d'attributs par des méthodes évolutionnaires A Blansché
Université Louis Pasteur (Strasbourg)(1971-2008), 2006
13 2006 Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI S Genaud, P Gançarski, G Latu, A Blansché, C Rattanapoka, D Vouriot
The Journal of SuperComputing 43, 21-41, 2008
9 2008 Genetic algorithms for feature weighting: Evolution vs. coevolution and Darwin vs. Lamarck A Blansché, P Gançarski, JJ Korczak
Mexican International Conference on Artificial Intelligence, 682-691, 2005
9 2005 Iterative evolutionary subspace clustering L Boudjeloud-Assala, A Blansché
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
7 2012 Computer-aided design of new inorganic compounds promising for search for electronic materials NN Kiselyova, AV Stolyarenko, T Gu, W Lu, A Blansche, VV Ryazanov, ...
Proc. The Sixth Int. Conf. on Computer-Aided Design of Discrete Devices (CAD …, 2007
7 2007 Human-machine collaboration for enriching semantic wikis using formal concept analysis A Blansché, H Skaf-Molli, P Molli, A Napoli
5th Workshop on Semantic Wikis Linking Data and People-SemWiki2010, 2010
5 2010 Représentation de données temporelles par un modèle à échelle logarithmique B Conan-Guez, A Gély, L Boudjeloud-Assala, A Blansché, D Compagno, ...
13e atelier Fouille de données complexes dans le cadre de la 16e conférence …, 2019
1 2019 K-spectral centroid: extension and optimizations B Conan-Guez, A Gély, L Boudjeloud, A Blansché
ESANN 2018-26th European Symposium on Artificial Neural Networks …, 2018
1 2018 Discovering new orders of the chemical elements through genetic algorithms A Blansché, S Iwata
Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008
1 2008 Biclustering itératif par une approche évolutionnaire A Blansché, L Boudjeloud-Assala
EGC 2020 Extraction et Gestion des Connaissances, 2020
2020 Comparaison et Partitionnement de Séries Temporelles Basés sur la Forme des Séries B Conan-Guez, A Gély, L Boudjeloud-Assala, A Blansché
XXVIe Rencontres de la Société Francophone de Classification, 2019
2019 Propositions pour améliorer une méthode de prédiction du succès d'une campagne de financement participatif A Blansché, X Mazur
18ème Conférence internationale sur l'Extraction et Gestion des …, 2018
2018 K-Spectral Centroïd pour des données massives B Conan-Guez, A Gély, L Boudjeloud-Assala, A Blansché
17ième Conférence d'Extraction et de Gestion des Connaissances (EGC 2017), 2017
2017 