Simplification de textes : un état de l'art (Text simplification (State of the art) This paper presents the state of the art on text simplification, in particular the two main types of approaches, namely rule-based approaches and statistical approaches (or data-driven)). - Sofiane Elguendouze (JEP-TALN-RECITAL (3), 2020)

Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation. - Sofiane Elguendouze; Marcilio C. P. de Souto; Adel Hafiane; Anaïs Lefeuvre-Halftermeyer (IJCNN, 2022)

Explainability in image captioning based on the latent space. - Sofiane Elguendouze; Adel Hafiane; Marcilio C. P. de Souto; Anaïs Halftermeyer (Neurocomputing, 2023)

Explainable Artificial Intelligence approaches for Image Captioning. (Approches d'intelligence artificielle explicables pour le sous-titrage d'images). - Sofiane Elguendouze (2024)