![]() ![]() | Albert, J., Martin, B., Doh, M., Bogaert, J., La fisca, L., De Vos, L., Renard, B., Stragier, V., & Jean, E. (In press). User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study. Dutch-Belgian Workshop on Recommender Systems. ![]() |
![]() ![]() | Karagianni, A., & Doh, M. (2024). A feminist legal analysis of non-consensual sexualized deepfakes: contextualizing its impact as AI-generated image-based violence under EU law. Porn Studies, 1-18. doi:10.1080/23268743.2024.2408277 ![]() |
Doh, M., Canali, C., & Karagianni, A. (2024). Pixels of Perfection and Self-Perception: Deconstructing AR Beauty Filters and Their Challenge to Unbiased Body Image. In IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences. Association for Computing Machinery, Inc. doi:10.1145/3639701.3663636 ![]() |
![]() ![]() | Stassin, S., Englebert, A., Nefack, G., Albert, J., Versbraegen, N., Peiffer, G., Doh, M., Riche, N., Frenay, B., & De Vleeschouwer, C. (2023). An Experimental Investigation into the Evaluation of Explainability Methods. Communications in Computer and Information Science. ![]() |
![]() ![]() | Doh, M., Rodrigues Mazini, R., Boutry, N., Mancas, M., & Bersini, H. (2023). Bridging Human Concepts and Computer Vision for Explainable Face Verification. CEUR Workshop Proceedings. ![]() |