Alexandre Blansché

发表

MACLAW: A modular approach for clustering with local attribute weighting

Pierre Gançarski, Jerzy J. Korczak, Alexandre Blansché, 2006, Pattern Recognit. Lett..

Mining for Reengineering: An Application to Semantic Wikis Using Formal and Relational Concept Analysis

Lian Shi, Amedeo Napoli, Yannick Toussaint, 2011, ESWC.

Processus itératif d'extraction de classes en non supervisée

Lydia Boudjeloud, Alexandre Blansché, 2013, EGC.

A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis

Pierre Gançarski, Jerzy J. Korczak, Alexandre Blansché, 2005, EvoWorkshops.

Biclustering itératif par une approche évolutionnaire

Lydia Boudjeloud, Alexandre Blansché, 2020, EGC.

Visual and Dynamic Change Detection for Data Streams

Lydia Boudjeloud, Benoît Otjacques, Thomas Tamisier, 2015, ICONIP.

Comparison between two coevolutionary feature weighting algorithms in clustering

Pierre Gançarski, Alexandre Blansché, Annett Wania, 2008, Pattern Recognit..

Clustering visuel semi-interactif

Lydia Boudjeloud, Benoît Otjacques, Thomas Tamisier, 2016, EGC.

Prédiction du montant levé lors d'une campagne de financement participatif par la méthode des plus proches voisins

Alexandre Blansché, Dylan Da Conceicao, Dylan Koby, 2017, EGC.

Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI

Pierre Gançarski, Guillaume Latu, Stéphane Genaud, 2007, The Journal of Supercomputing.

Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images

Pierre Gançarski, Alexandre Blansché, Annett Wania, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis

Hala Skaf-Molli, Pascal Molli, Amedeo Napoli, 2010, SemWiki@ESWC.

Application of the MACLAW algorithm for bands selection in hyperspectral images. Proceedings of the MDM/KDD 2006

Pierre Gançarski, Alexandre Blansché, Annett Wania, 2006 .

Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in $K$-means-Based Algorithms

Pierre Gançarski, Alexandre Blansché, P. Gançarski, 2008, IEEE Transactions on Evolutionary Computation.

Propositions pour améliorer une méthode de prédiction du succès d'une campagne de financement participatif

Xavier Mazur, Alexandre Blansché, 2018, EGC.

K-Spectral Centroïd pour des données massives

Lydia Boudjeloud, Alexandre Blansché, Brieuc Conan-Guez, 2017, EGC.

Testing the CAX on a Real-World Problem and Other Benchmarks

Nicolas Lachiche, Pierre Collet, Alexandre Blansché, 2008, PPSN.

Representative Individuals Initialisation in Cooperative Coevolution

Pierre Gançarski, Jerzy J. Korczak, Alexandre Blansché, 2005, Indian International Conference on Artificial Intelligence.

Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck

Jerzy J. Korczak, Pierre Gançarski, Alexandre Blansché, 2005, MICAI.

K-spectral centroid: extension and optimizations

Lydia Boudjeloud, Alexandre Blansché, Brieuc Conan-Guez, 2018, ESANN.

Sélection d'attributs et classification d'objets complexes

Pierre Gançarski, Alexandre Blansché, 2004, EGC.

TAAABLE 3: Adaptation of ingredient quantities and of textual preparations

Hala Skaf-Molli, Pascal Molli, Emmanuel Nauer, 2010, ICCBR 2010.

Iterative Evolutionary Subspace Clustering

Lydia Boudjeloud, Alexandre Blansché, 2012, ICONIP.

Interactive and iterative visual clustering

Lydia Boudjeloud, Thomas Tamisier, Philippe Pinheiro, 2016, Inf. Vis..

Classification non supervisée avec pondération d'attributs par des méthodes évolutionnaires

Alexandre Blansché, 2006 .

Discovering New Orders of the Chemical Elements through Genetic Algorithms

Alexandre Blansché, Shuichi Iwata, S. Iwata, 2008, PAKDD.