1. Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, and Alessandro Sarti. For a Semiotic Approach to Generative Image AI: On Compositional Criteria. Semiotic Review, 9, April 2025. Keyword(s): Semiotics, Composition. [bibtex-entry]



2. Adrien Deliège, Maria Giulia Dondero, and Enzo D'Armenio. Revisiting Wölfflin in the Age of AI: A Study of Classical and Baroque Composition in Generative Models. Journal of Imaging, 11(5):1-23, April 2025. Keyword(s): GenAI, Semiotics. [bibtex-entry]



3. Rémy Phan-Ba, Sébastien Piérard, E. Lommers, G. Delrue, P. Calay, Marc Van Droogenbroeck, V. Delvaux, and P. Maquet. Relative Contribution of Walking Speed, Ataxia and Gait asymmetry to the Composition of Gait in Multiple Sclerosis. Multiple Sclerosis Journal, 19(S1):261, October 2013. Note: Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P608. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Walking speed, Ataxia. [bibtex-entry]

1. Enzo D'Armenio, Adrien Deliège, and Maria Giulia Dondero. A Semiotic Methodology for Assessing the Compositional Effectiveness of Generative Text-to-Image Models (Midjourney and DALLE). In European Conference on Computer Vision Workshops (ECCV Workshops), volume 15644 of Lecture Notes in Computer Science, Milan, Italy, pages 112-127, 2025. Springer Nature Switzerland. Keyword(s): Semiotics, Composition, Generative AI, Midjourney, DALLE, Art. [bibtex-entry]

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