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Generative Adversarial Networks for geometric surfaces prediction in injection molding., , , , , , , , and . CoRR, (2019)Polarimetric imaging for quality control in injection molding., , , and . J. Electronic Imaging, 29 (4): 041014 (2020)Exploitation d'une information multiéclairages pour une approche générique de l'inspection automatique de la qualité visuelle des produits en industrie. (Exploitation of a multilighting information for a generic approach of industrial automated visual quality control).. Grenoble Alpes University, France, (2018)Transfer Learning with Adaptive Online TrAdaBoost for Data Streams., , , and . ACML, volume 157 of Proceedings of Machine Learning Research, page 1017-1032. PMLR, (2021)Modal features for image texture classification., , and . Pattern Recognit. Lett., (2020)Cost-Effective Transfer Learning for Data Streams., , , and . ICDM, page 1233-1238. IEEE, (2022)Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices., , , , , , , and . PAKDD (2), volume 13936 of Lecture Notes in Computer Science, page 322-334. Springer, (2023)A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams., , , and . IJCNN, page 1-8. IEEE, (2021)Nacre: Proactive Recurrent Concept Drift Detection in Data Streams., , , and . IJCNN, page 1-8. IEEE, (2021)Probabilistic exact adaptive random forest for recurrent concepts in data streams., , , and . Int. J. Data Sci. Anal., 13 (1): 17-32 (2022)