33 citations · 40 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
AIris: An AI-powered Wearable Assistive Device for the Visually Impaired
Dionysia Danai Brilli, Evangelos Georgaras, Stefania Tsilivaki +2
Assistive technologies for the visually impaired have evolved to facilitate interaction with a complex and dynamic world. In this paper, we introduce AIris, an AI-powered wearable…