| Nacre: Proactive recurrent concept drift detection in data streams O Wu, YS Koh, G Dobbie, T Lacombe 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 10 | 2021 |
| Generative adverserial networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition P Nagorny, T Lacombe, H Favreliere, M Pillet, E Pairel, R Le Goff, M Wali, ... 2018 IEEE International Conference on Industrial Technology (ICIT), 1514-1519, 2018 | 10 | 2018 |
| Modal features for image texture classification T Lacombe, H Favreliere, M Pillet Pattern Recognition Letters 135, 249-255, 2020 | 9 | 2020 |
| Pearl: Probabilistic exact adaptive random forest with lossy counting for data streams O Wu, YS Koh, G Dobbie, T Lacombe Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 8 | 2020 |
| Transfer learning with adaptive online tradaboost for data streams O Wu, YS Koh, G Dobbie, T Lacombe Asian Conference on Machine Learning, 1017-1032, 2021 | 6 | 2021 |
| Polarimetric imaging for quality control in injection molding P Nagorny, T Lacombe, H Favreliere, M Pillet Journal of Electronic Imaging 29 (4), 041014, 2020 | 6 | 2020 |
| Probabilistic exact adaptive random forest for recurrent concepts in data streams O Wu, YS Koh, G Dobbie, T Lacombe International Journal of Data Science and Analytics, 1-16, 2022 | 5 | 2022 |
| A meta-learning approach for automated hyperparameter tuning in evolving data streams T Lacombe, YS Koh, G Dobbie, O Wu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Voir pour Toucher? Caractérisation Optique de la Sensation d'Adhérence T Lacombe, B Albert, H Dereli, M Tomczyk, Y Nait-Youcef, J Philppa, ... QUALITA 2017, 2017 | 3 | 2017 |
| Cost-effective transfer learning for data streams O Wu, YS Koh, G Dobbie, T Lacombe 2022 IEEE International Conference on Data Mining (ICDM), 1233-1238, 2022 | 1 | 2022 |
| Exploitation d’une information multiéclairages pour une approche générique de l’inspection automatique de la qualité visuelle des produits en industrie. T Lacombe Communauté Universite Grenoble Alpes, 2018 | 1 | 2018 |
| Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices Y Lu, Y Lee, H Feng, J Leung, A Cheung, K Dost, K Taskova, T Lacombe Pacific-Asia Conference on Knowledge Discovery and Data Mining, 322-334, 2023 | | 2023 |
| Multi-lighting data exploitation for a generic approach of product visual quality in the industry. T Lacombe Université Grenoble Alpes, 2018 | | 2018 |
| Inspection visuelle automatisée de surfaces: Perspectives d'évolutions industrielles Echelle d'inspection, quantité d'information acquise et apprentissage non-supervisé T Lacombe, M Pillet, H Favreliere 15ème Colloque National AIP-Priméca: Concevoir et produire dans les …, 2017 | | 2017 |
| Inspection automatisée de surfaces T Lacombe, M Pillet, H Favreliere RFQM Rencontres Francophones sur la Qualité et la Mesure 2017, 2017 | | 2017 |
| Inspection visuelle automatisée de surfaces: Perspectives d’évolutions industrielles T Lacombe, M Pillet, H Favrelière | | |
| Generative Adverserial Networks for geometric surfaces prediction in injection molding P Nagorny, T Lacombe, H Favrelière, M Pillet, E Pairel, R Le Goff, M Wali, ... | | |
Gillian DobbieUniversity of AucklandVerified email at cs.auckland.ac.nz
