3 papers
cs.LG2026
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
Gökhan Ãzbulak, Oscar Jimenez-del-Toro, MaÃra Fatoretto +2
The evaluation of fairness models in Machine Learning involves complex challenges, such as defining appropriate metrics, balancing trade-offs between utility and fairness, and ther…
cs.CV2026
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Dilermando Queiroz, Anderson Carlos, André Anjos +1
Ensuring equitable Artificial Intelligence (AI) in healthcare demands systems that make unbiased decisions across all demographic groups, bridging technical innovation with ethical…
cs.CV2025
Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025
Matej Vitek, Darian TomaÅ¡eviÄ, Abhijit Das +32
This paper presents a summary of the 2025 Sclera Segmentation Benchmarking Competition (SSBC), which focused on the development of privacy-preserving sclera-segmentation models tra…