Arnaud Bougaham - Google Scholar

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Co-authors

Frénay BenoîtFaculty of Computer Science, Université de NamurVerified email at unamur.be
Isabelle LindenUniversity of NamurVerified email at unamur.be
Mohammed El AdouiPostdoc associate / Sr. ML Engineer /Faculty of Computer Science/ University of Namur/ BelgiumVerified email at unamur.be
Adrien BibalPrincipal Scientist, InferLinkVerified email at cuanschutz.edu
Valentin DelchevalerieUniversité de NamurVerified email at unamur.be

Arnaud Bougaham

Arnaud Bougaham

University of Namur, NaDI

Verified email at unamur.be

Anomaly Detection Anomaly Prediction Generative Adversarial Networks Vison Transformer Industry 4.0


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GanoDIP-GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case A Bougaham, A Bibal, I Linden, B Frenay Third International Workshop on Learning with Imbalanced Domains: Theory and …, 2021	6	2021
Composite score for anomaly detection in imbalanced real-world industrial dataset A Bougaham, M El Adoui, I Linden, B Frénay Machine Learning 113 (7), 4381-4406, 2024	3	2024
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks A Bougaham, V Delchevalerie, ME Adoui, B Frénay arXiv preprint arXiv:2302.05154, 2023	2	2023
Generative Models and Quality Constraints for Anomaly Detection: Application to Industrial and Medical Images A Bougaham Mardi des Chercheurs 2024, 2024		2024
Quality and Performance Optimization through Generative Adversarial Networks based Anomaly Detection A Bougaham 21st Symposium on Intelligent Data Analysis (IDA 2023), 2023		2023

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