Dissimilarity to Class Medoids as Features for 3D Point Cloud Classification. - Sylvain Chabanet; Valentin Chazelle; Philippe Thomas 001; Hind Bril El Haouzi (APMS (3), 2021)

Medoid-based MLP: An Application to Wood Sawing Simulator Metamodeling. - Sylvain Chabanet; Philippe Thomas 001; Hind Bril El Haouzi (IJCCI, 2021)

Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context. - Sylvain Chabanet; Hind Bril El Haouzi; Philippe Thomas 001 (Comput. Ind., 2021)

Toward a Sawmill Digital Shadow Based on Coupled Simulation and Supervised Learning Models. - Sylvain Chabanet; Hind Bril El Haouzi; Philippe Thomas 001 (SOHOMA, 2022)

CoreSelect: A New Approach to Select Landmarks for Dissimilarity Space Embedding. - Sylvain Chabanet; Philippe Thomas 001; Hind Bril El Haouzi (IJCCI, 2023)

Contributions aux ombres et jumeaux numériques dans l'industrie : proposition d'une stratégie de couplage entre modèles de simulation et d'apprentissage automatique appliquée aux scieries. (Toward industrial digital shadows and twins : a novel strategy to couple simulation and machine learning models, applied to the lumber industry). - Sylvain Chabanet (2023)

Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges. - Sylvain Chabanet; Hind Bril El Haouzi; Michael Morin; Jonathan Gaudreault; Philippe Thomas 001 (Int. J. Prod. Res., 2023)

MLP Based on Dissimilarity Features: An Application to Wood Sawing Simulator Metamodeling. - Sylvain Chabanet; Philippe Thomas 001; Hind Bril El Haouzi (SN Comput. Sci., 2023)

An Out-of-Sample Clustering Ensemble Method for Defect Detection and Classification in Metal Additive Manufacturing. - Sylvain Chabanet; Adil Han Orta; Mathias Kersemans (IN4PL (1), 2024)

Active learning confidence measures for coupling strategies in digital twins integrating simulation and data-driven submodels. - Sylvain Chabanet; Hind Bril El Haouzi; Philippe Thomas 001 (Simul. Model. Pract. Theory, 2025)