33 citations · 77 across the 7 of their papers we have counts for
7 papers
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…
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework
Theofanis Ganitidis, Maria Athanasiou, Konstantinos Mitsis +2
Background: The COVID-19 pandemic has highlighted the need for robust diagnostic tools capable of detecting the disease from diverse and evolving data sources. Machine learning mod…
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi +3
Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mortality and disability annually. Early diagnosis of such cases is of great importa…
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…
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus
Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni +2
Cardiovascular Disease (CVD) is an important cause of disability and death among individuals with Diabetes Mellitus (DM). International clinical guidelines for the management of Ty…