Thomas Lacombe

Orcid: 0000-0002-7633-2592

According to our database1, Thomas Lacombe authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
Probabilistic exact adaptive random forest for recurrent concepts in data streams.
Int. J. Data Sci. Anal., 2022

Cost-Effective Transfer Learning for Data Streams.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2021

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Modal features for image texture classification.
Pattern Recognit. Lett., 2020

Polarimetric imaging for quality control in injection molding.
J. Electronic Imaging, 2020

PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019
Generative Adversarial Networks for geometric surfaces prediction in injection molding.
CoRR, 2019

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).
PhD thesis, 2018

Generative adverserial networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition.
Proceedings of the IEEE International Conference on Industrial Technology, 2018


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