A modular U-Net for automated segmentation of X-ray tomography images in composite materials JPC Bertoldo, E Decencière, D Ryckelynck, H Proudhon Frontiers in Materials 8, 761229, 2021 | 17 | 2021 |
In situ synchrotron X-ray multimodal experiment to study polycrystal plasticity C Ribart, A King, W Ludwig, JPC Bertoldo, H Proudhon Journal of Synchrotron Radiation 30 (2), 2023 | 7 | 2023 |
Visualization for multivariate gaussian anomaly detection in images JPC Bertoldo, D Arrustico 2023 Twelfth International Conference on Image Processing Theory, Tools and …, 2023 | 1 | 2023 |
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection T Gula, JPC Bertoldo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance JPC Bertoldo, D Ameln, A Vaidya, S Akçay arXiv preprint arXiv:2401.01984, 2024 | | 2024 |
Heuristic Hyperparameter Choice for Image Anomaly Detection Z Jiang, JPC Bertoldo, E Decencière 2023 Twelfth International Conference on Image Processing Theory, Tools and …, 2023 | | 2023 |
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation JPC Bertoldo, S Velasco-Forero, J Angulo, E Decencière arXiv preprint arXiv:2301.09602, 2023 | | 2023 |
[Reproducibility Report] Explainable Deep One-Class Classification JPC Bertoldo, E Decencière arXiv preprint arXiv:2206.02598, 2022 | | 2022 |
Internship Report Explainability applied to intent classification models Explicabilité appliquée à des modèles de classification d’intention D RYCKELYNCK, M SERIS, JPC BERTOLDO | | 2020 |