| Achieving rotational invariance with bessel-convolutional neural networks V Delchevalerie, A Bibal, B Frénay, A Mayer Advances in Neural Information Processing Systems 34, 28772-28783, 2021 | 18 | 2021 |
| DT-SNE: t-SNE discrete visualizations as decision tree structures A Bibal, V Delchevalerie, B Frénay Neurocomputing 529, 101-112, 2023 | 13 | 2023 |
| Boundary-based fairness constraints in decision trees and random forests G Nanfack, V Delchevalerie, B Frénay ESANN 2021 Proceedings-29th European Symposium on Artificial Neural Networks …, 2021 | 5 | 2021 |
| Accelerating -SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics V Delchevalerie, A Mayer, A Bibal, B Frénay 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| When magnetron sputtering deposition meets machine learning: Application to process anomaly detection V Delchevalerie, N de Moor, L Rassinfosse, E Haye, B Frenay, S Lucas Surface and Coatings Technology 477, 130301, 2024 | 1 | 2024 |
| SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks V Delchevalerie, A Mayer, A Bibal, B Frénay arXiv preprint arXiv:2304.09214, 2023 | 1 | 2023 |
| Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks A Bougaham, V Delchevalerie, ME Adoui, B Frénay arXiv preprint arXiv:2302.05154, 2023 | 1 | 2023 |
Frénay BenoîtFaculty of Computer Science, Université de Namur在 unamur.be 的电子邮件经过验证
