Generative adverserial networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition. - Pierre Nagorny; Thomas Lacombe; Hugues Favrelière; Maurice Pillet; Eric Pairel; Ronan Le Goff; Marlène Wali; Jérôme Loureaux; Patrice Kiener (ICIT, 2018)

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). - Thomas Lacombe (2018)

Generative Adversarial Networks for geometric surfaces prediction in injection molding. - Pierre Nagorny; Thomas Lacombe; Hugues Favrelière; Maurice Pillet; Eric Pairel; Ronan Le Goff; Marlène Wali; Jérôme Loureaux; Patrice Kiener (CoRR, 2019)

PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (PAKDD (2), 2020)

Polarimetric imaging for quality control in injection molding. - Pierre Nagorny; Thomas Lacombe; Hugues Favrelière; Maurice Pillet (J. Electronic Imaging, 2020)

Modal features for image texture classification. - Thomas Lacombe; Hugues Favrelière; Maurice Pillet (Pattern Recognit. Lett., 2020)

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (ACML, 2021)

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. - Thomas Lacombe; Yun Sing Koh; Gillian Dobbie; Ocean Wu (IJCNN, 2021)

Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (IJCNN, 2021)

Cost-Effective Transfer Learning for Data Streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (ICDM, 2022)

Probabilistic exact adaptive random forest for recurrent concepts in data streams. - Ocean Wu; Yun Sing Koh; Gillian Dobbie; Thomas Lacombe (Int. J. Data Sci. Anal., 2022)

Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices. - Yixiao Lu; Yokiu Lee; Haoran Feng; Johnathan Chi-Ho Leung; Alvin Cheung; Katharina Dost; Katerina Taskova; Thomas Lacombe (PAKDD (2), 2023)