3 papers
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…
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 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…