• Rastin P, Matei B, Cabanes G, Bennani Y, Marty J.M: A new sparse representation of complex data: application to dynamic clustering of web navigation.Pattern Recognition, Volume 91, July 2019, Pages 291-307, https://doi.org/10.1016/j.patcog.2019.02.020, IF 7.740

• Rastin P, Matei B, Cabanes G, Grozavu N, Bennani Y: Impact of Learners’ Quality and Diversity in Collaborative Clustering. Journal of Artificial Intelligence and Soft Computing Research, Volume 9, Issue 2 (2019), pp. 149-165, DOI:10.2478/jaiscr-2018-0030 . IF 1.98 (Invited).

• Rastin P, Cabanes G, Verde R, Bennani Y, Couronne T: Generative Histogram-based using unsupervised learning. 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP'19), Sydney, Australia.

• Rastin P, Bennani Y, Verde R: Automatic detection of the support points in relational clustering. International Joint Conference on Neural Networks (IJCNN '19), Budapest, Hungary.

• Rastin P, Cabanes G, Matei B, Marty J.M: Change Detection in Individual Users' Behavior. 27th International Conference on Artificial Neural Networks (ICANN'18), Rhodes, Greece.

• Rastin P, Matei B: Prototype-based Clustering for Relational Data using Barycentric Coordinates. International Joint Conference on Neural Networks (IJCNN '18), Rio, Brazil.

• Rastin P, Matei B: Barycentric Coordinates Approach for Complex Data Clustering. International Symposium on Mathematical Methods Applied to the Sciences (XXI SIMMAC'18), San José, Costa Rica.

• Rastin P, Matei B: Incremental Matrix Reordering for Similarity-Based Dynamic Data sets. International Conference on Neural Information Processing (ICONIP'17), Guangzhou, China.

• Rastin P, Matei B, Cabanes G: Visualizing changes in the distribution of relational data using dynamic reordering. 61st World Statistics Congress, (ISI'17), Marrakesh, Morocco.

• Rastin P, Matei B: Parameter-free clustering of similarity-based data based on peak detection. Conference "Statistics and Data Science: New Challenges, New Generations" (SIS'17 ), Florence, Italy.

• Rastin P, Matei B, Cabanes G, El Baghdadi I: Signal-Based Autonomous Clustering for Relational Data. International Joint Conference on Neural Networks (IJCNN '17), Anchorage, Alaska, USA.

• Cherki S, Rastin P, Cabanes G, Matei B: Improved Sparse Prototyping for Relational K-means. IEEE Symposium Series on Computational Intelligence (SSCI'16), Athens, Greece.

• Rastin P, Zhang T, Cabanes G: A new clustering algorithm for dynamic data. International Conference on Neural Information Processing (ICONIP'16), Kyoto, Japan.

• Rastin P, Cabanes G, Grozavu N, Bennani Y: Collaborative Clustering: How to Select the Optimal Collaborators? IEEE Symposium on Computational Intelligence and Data Mining (CIDM'15), Cape Town, South Africa.

• Rastin P, Kanawati R: A multiplex network based approach for cluster ensemble selection. International Workshop on Emerging Trends in Clustering, Orléans, France.

• Rastin P, Kanawati R: A multiplex-network based approach for clustering ensemble selection. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'15), Paris, France.

• Rastin P, Matei B, Cabanes G: Détection de changement dans les profils en ligne d’utilisateurs. 19ème édition de la conférence Extraction et de la Gestion de Connaissance (EGC'19), Metz, France.

• Rastin P, Matei B, Cabanes G: Apprentissage non-supervisé relationnel dans l’espace des coordonnées barycentriques. 19ème édition de la conférence Extraction et de la Gestion de Connaissance (EGC'19), Metz, France.

Rastin P, Zhang T, Cabanes G: Un nouvel algorithme de clustering pour données dynamiques. Conférence Conjointe Francophone sur la Science des Données (AAFD & SFC'16), Marrakech, Maroc.

• Rastin P, Cabanes G, Grozavu N, Bennani Y: Choix du Collaborateur pour l'Apprentissage Collaboratif. XXIIèmes Rencontres de la Société Francophone de Classification (SFC'15), Nantes, France.

• Rastin P, Kanawati R: Une approche de réseaux multiplex pour la sélection d'ensemble. Plate-Forme de l'Intelligence Artificielle (PFIA), Rennes, France.