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20202025
most citedA comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis

33 citations · 77 across the 7 of their papers we have counts for

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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…