Backward recursive Class Activation Map refinement for high resolution saliency map. - Alexandre Englebert; Olivier Cornu; Christophe De Vleeschouwer (ICPR, 2022)

Explaining through Transformer Input Sampling. - Alexandre Englebert; Sédrick Stassin; Géraldin Nanfack; Sidi Ahmed Mahmoudi; Xavier Siebert; Olivier Cornu; Christophe De Vleeschouwer (ICCV (Workshops), 2023)

An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision. - Sédrick Stassin; Alexandre Englebert; Géraldin Nanfack; Julien Albert; Nassim Versbraegen; Gilles Peiffer; Miriam Doh; Nicolas Riche; Benoît Frénay; Christophe De Vleeschouwer (PKDD/ECML Workshops (1), 2023)

An Experimental Investigation into the Evaluation of Explainability Methods. - Sédrick Stassin; Alexandre Englebert; Géraldin Nanfack; Julien Albert; Nassim Versbraegen; Gilles Peiffer; Miriam Doh; Nicolas Riche; Benoît Frénay; Christophe De Vleeschouwer (CoRR, 2023)

Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysis. - Alexandre Englebert; Anne-Sophie Collin; Olivier Cornu; Christophe De Vleeschouwer (CoRR, 2024)

Bone X-Ray analysis with explainable AI and multimodal self-supervised learning. - Alexandre Englebert (2024)

Poly-cam: high resolution class activation map for convolutional neural networks. - Alexandre Englebert; Olivier Cornu; Christophe De Vleeschouwer (Mach. Vis. Appl., 2024)