Valentin Delchevalerie
Valentin Delchevalerie
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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
DT-SNE: t-SNE discrete visualizations as decision tree structures
A Bibal, V Delchevalerie, B Frénay
Neurocomputing 529, 101-112, 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
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
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
A Bougaham, V Delchevalerie, ME Adoui, B Frénay
arXiv preprint arXiv:2302.05154, 2023
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
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
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