Boundary-Based Fairness Constraints in Decision Trees and Random Forests. - Géraldin Nanfack; Valentin Delchevalerie; Benoît Frénay (ESANN, 2021)

Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics. - Valentin Delchevalerie; Alexandre Mayer; Adrien Bibal; Benoît Frénay (IJCNN, 2021)

Achieving Rotational Invariance with Bessel-Convolutional Neural Networks. - Valentin Delchevalerie; Adrien Bibal; Benoît Frénay; Alexandre Mayer (NeurIPS, 2021)

SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks. - Valentin Delchevalerie; Alexandre Mayer; Adrien Bibal; Benoît Frénay (CoRR, 2023)

DT-SNE: t-SNE discrete visualizations as decision tree structures. - Adrien Bibal; Valentin Delchevalerie; Benoît Frénay (Neurocomputing, 2023)

Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy. - Robin Ghyselinck; Valentin Delchevalerie; Pierre Poitier; Benoît Frénay; Bruno Dumas (ECAI, 2024)

From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images. - Valentin Delchevalerie; Benoît Frénay; Alexandre Mayer (ESANN, 2024)

Industrial and medical anomaly detection through cycle-consistent adversarial networks. - Arnaud Bougaham; Valentin Delchevalerie; Mohammed El Adoui; Benoît Frénay (Neurocomputing, 2025)

On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation. - Robin Ghyselinck; Valentin Delchevalerie; Bruno Dumas; Benoît Frénay (Trans. Mach. Learn. Res., 2025)