33 citations · 77 across the 7 of their papers we have counts for
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cs.LG2024★ 33 cited
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…
cs.SD2024★ 4 cited
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…