45 citations · 105 across the 5 of their papers we have counts for
5 papers
Evaluating the Impact of Epidemic Control via State-Dependent Markovian Switching Modeling
Vasileios E. Papageorgiou, Irene Votsi, Samis Trevezas
We develop an exact finite-population stochastic framework for SIR epidemics evolving under Markovian switching between intervention regimes. The epidemic state is augmented by a f…
A convolutional neural network of low complexity for tumor anomaly detection
Vasileios E. Papageorgiou, Pantelis Dogoulis, Dimitrios-Panagiotis Papageorgiou
The automated detection of cancerous tumors has attracted interest mainly during the last decade, due to the necessity of early and efficient diagnosis that will lead to the most e…
Seeking the Truth Beyond the Data. An Unsupervised Machine Learning Approach
Dimitrios Saligkaras, Vasileios E. Papageorgiou
Clustering is an unsupervised machine learning methodology where unlabeled elements/objects are grouped together aiming to the construction of well-established clusters that their…
An improved Epidemiological-Unscented Kalman Filter (Hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data
Vasileios E. Papageorgiou, George Tsaklidis
The prevalence of COVID-19 has been the most serious health challenge of the 21th century to date, concerning national health systems on a daily basis, since December 2019 when it…
Analysis of Digitalized ECG Signals Based on Artificial Intelligence and Spectral Analysis Methods Specialized in ARVC
Vasileios E. Papageorgiou, Thomas Zegkos, Georgios Efthimiadis +1
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that appears between the second and forth decade of a patient's life, being responsible…