Miriam Doh

According to our database, Miriam Doh authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body.

Miriam Doh, Corinna Canali, Nuria Oliver

CoRR, June, 2025

Found in Translation: semantic approaches for enhancing AI interpretability in face verification.

Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Bernard Gosselin

CoRR, January, 2025

What TikTok Claims, What Bold Glamour Does: A Filter's Paradox.

Miriam Doh, Corinna Canali, Nuria Oliver

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces.

Miriam Doh, Aditya Gulati, Matei Mancas, Nuria Oliver

Proceedings of the European Workshop on Algorithmic Fairness, 2025

2024

User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study.

Julien Albert, Martin Balfroid, Miriam Doh, Jérémie Bogaert, Luca La Fisca, Liesbet De Vos, Bryan Renard, Vincent Stragier, Emmanuel Jean

CoRR, 2024

Pixels of Perfection and Self-Perception: Deconstructing AR Beauty Filters and Their Challenge to Unbiased Body Image.

Miriam Doh, Corinna Canali, Anastasia Karagianni

Proceedings of the ACM International Conference on Interactive Media Experiences, 2024

"My Kind of Woman": Analysing Gender Stereotypes in AI through The Averageness Theory and EU Law.

Miriam Doh, Anastasia Karagianni

Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024), 2024

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

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Bridging Human Concepts and Computer Vision for Explainable Face Verification.

Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini

Proceedings of the 2nd Workshop on Bias, 2023