Miriam Doh

16 papers C 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aesthetics as Structural Harm: Algorithmic Lookism Across Text-to-Image Generation and Classification.
CoRR
Miriam Doh, Aditya Gulati, Corinna Canali, Nuria Oliver
2026 — conf
Between and Beyond: Designing for Identity Complexity in HCI.
CHI Extended Abstracts
Miriam Doh, Piera Riccio, Benedikt Höltgen, Olivia Lopez Calderon, Monique Munarini, Corinna Canali, Shirley Ogolla, Nuria Oliver
2025 J jnl
Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body.
CoRR
Miriam Doh, Corinna Canali, Nuria Oliver
2025 J jnl
Found in Translation: semantic approaches for enhancing AI interpretability in face verification.
CoRR
Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Bernard Gosselin
2025 — conf
Position: The Categorization of Race in ML is a Flawed Premise.
ICML (Position Papers)
Miriam Doh, Benedikt Höltgen, Piera Riccio, Nuria Oliver
2025 — conf
What TikTok Claims, What Bold Glamour Does: A Filter's Paradox.
FAccT
Miriam Doh, Corinna Canali, Nuria Oliver
2025 — conf
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces.
EWAF
Miriam Doh, Aditya Gulati, Matei Mancas, Nuria Oliver
2025 J jnl
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces.
CoRR
Miriam Doh, Aditya Gulati, Matei Mancas, Nuria Oliver
2024 — conf
"My Kind of Woman": Analysing Gender Stereotypes in AI through The Averageness Theory and EU Law.
HHAI Workshops
Miriam Doh, Anastasia Karagianni
2024 J jnl
"My Kind of Woman": Analysing Gender Stereotypes in AI through The Averageness Theory and EU Law.
CoRR
Miriam Doh, Anastasia Karagianni
2024 J jnl
Bridging Human Concepts and Computer Vision for Explainable Face Verification.
CoRR
Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini
2024 C conf
Pixels of Perfection and Self-Perception: Deconstructing AR Beauty Filters and Their Challenge to Unbiased Body Image.
IMX
Miriam Doh, Corinna Canali, Anastasia Karagianni
2024 J jnl
User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study.
CoRR
Julien Albert, Martin Balfroid, Miriam Doh, Jérémie Bogaert, Luca La Fisca, Liesbet De Vos, Bryan Renard, Vincent Stragier, Emmanuel Jean
2023 — conf
An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision.
PKDD/ECML Workshops (1)
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer
2023 J jnl
An Experimental Investigation into the Evaluation of Explainability Methods.
CoRR
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer
2023 — conf
Bridging Human Concepts and Computer Vision for Explainable Face Verification.
BEWARE@AI*IA
Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini