33 citations · 77 across the 7 of their papers we have counts for
4 papers · 1 filter
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images
Maria Eleftheria Vlontzou, Maria Athanasiou, Christos Davatzikos +1
The present study performs a comprehensive fairness analysis of machine learning (ML) models for the diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) from…
A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents
Eleftherios Kalafatis, Konstantinos Mitsis, Konstantia Zarkogianni +2
Serious Games (SGs) are nowadays shifting focus to include procedural content generation (PCG) in the development process as a means of offering personalized and enhanced player ex…
A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis
Maria Eleftheria Vlontzou, Maria Athanasiou, Kalliopi Dalakleidi +3
An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) by ensuring robustness of th…
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis
Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou +1
Early detection of breast cancer is a powerful tool towards decreasing its socioeconomic burden. Although, artificial intelligence (AI) methods have shown remarkable results toward…