Improving Auto-Encoders' self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss. - Aymene Mohammed Bouayed; Karim Atif; Rachid Deriche; Abdelhakim Saim (CoRR, 2020)

CNN and diffusion MRI’s 4th degree rotational invariants for Alzheimer’s disease identification. - Aymene Mohammed Bouayed; Samuel Deslauriers-Gauthier; Mauro Zucchelli; Rachid Deriche (LIDTA, 2022)

Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts. - Aymene Mohammed Bouayed; Adrian Iaccovelli; David Naccache (IJCB, 2023)

Simplex Autoencoders. - Aymene Mohammed Bouayed; David Naccache (CoRR, 2023)

CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models. - Aymene Mohammed Bouayed; Samuel Deslauriers-Gauthier; Adrian Iaccovelli; David Naccache (CoRR, 2024)

CNN Interpretability with Multivector Tucker Saliency Maps for Self-Supervised Models. - Aymene Mohammed Bouayed; Samuel Deslauriers-Gauthier; Adrian Iacovelli; David Naccache (Trans. Mach. Learn. Res., 2025)