4 citations · 7 across the 2 of their papers we have counts for
4 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…
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…
The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals
Konstantia Zarkogianni, Edmund Dervakos, George Filandrianos +7
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has…
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…