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 |