Sélection d'attributs et classification d'objets complexes. - Alexandre Blansché; Pierre Gançarski (EGC, 2004)

A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis. - Alexandre Blansché; Pierre Gançarski; Jerzy J. Korczak (EvoWorkshops, 2005)

Representative Individuals Initialisation in Cooperative Coevolution. - Alexandre Blansché; Pierre Gançarski; Jerzy Korczak 001 (IICAI, 2005)

Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck. - Alexandre Blansché; Pierre Gançarski; Jerzy J. Korczak (MICAI, 2005)

Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images. - Alexandre Blansché; Annett Wania; Pierre Gançarski (ICDM Workshops, 2006)

MACLAW: A modular approach for clustering with local attribute weighting. - Alexandre Blansché; Pierre Gançarski; Jerzy J. Korczak (Pattern Recognit. Lett., 2006)

Discovering New Orders of the Chemical Elements through Genetic Algorithms. - Alexandre Blansché; Shuichi Iwata (PAKDD, 2008)

Testing the CAX on a Real-World Problem and Other Benchmarks. - Ariel Tchougang; Alexandre Blansché; Laurent A. Baumes; Nicolas Lachiche; Pierre Collet (PPSN, 2008)

Comparison between two coevolutionary feature weighting algorithms in clustering. - Pierre Gançarski; Alexandre Blansché; Annett Wania (Pattern Recognit., 2008)

Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in K-means-Based Algorithms. - Pierre Gançarski; Alexandre Blansché (IEEE Trans. Evol. Comput., 2008)

Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI. - Stéphane Genaud; Pierre Gançarski; Guillaume Latu; Alexandre Blansché; Choopan Rattanapoka; Damien Vouriot (J. Supercomput., 2008)

Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis. - Alexandre Blansché; Hala Skaf-Molli; Pascal Molli; Amedeo Napoli (SemWiki@ESWC, 2010)

Mining for Reengineering: An Application to Semantic Wikis Using Formal and Relational Concept Analysis. - Lian Shi; Yannick Toussaint; Amedeo Napoli; Alexandre Blansché (ESWC (2), 2011)

Iterative Evolutionary Subspace Clustering. - Lydia Boudjeloud-Assala; Alexandre Blansché (ICONIP (1), 2012)

Processus itératif d'extraction de classes en non supervisée. - Alexandre Blansché; Lydia Boudjeloud-Assala (EGC, 2013)

Visual and Dynamic Change Detection for Data Streams. - Lydia Boudjeloud-Assala; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (ICONIP (3), 2015)

Clustering visuel semi-interactif. - Lydia Boudjeloud; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (EGC, 2016)

Interactive and iterative visual clustering. - Lydia Boudjeloud-Assala; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (Inf. Vis., 2016)

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 (EGC, 2017)

K-Spectral Centroïd pour des données massives. - Brieuc Conan-Guez; Alain Gély; Lydia Boudjeloud-Assala; Alexandre Blansché (EGC, 2017)

K-spectral centroid: extension and optimizations. - Brieuc Conan-Guez; Alain Gély; Lydia Boudjeloud-Assala; Alexandre Blansché (ESANN, 2018)

Propositions pour améliorer une méthode de prédiction du succès d'une campagne de financement participatif. - Alexandre Blansché; Xavier Mazur (EGC, 2018)

Biclustering itératif par une approche évolutionnaire. - Alexandre Blansché; Lydia Boudjeloud (EGC, 2020)

Opportunistic collaboration between heterogeneous agents using an unstructured ontology via GenAI. - Judy Akl; Amadou Gning; Hichem Omrani; Olivier Caspary; Alexandre Blansché; Fahed Abdallah (Int. J. Intell. Robotics Appl., 2025)