Petros Barmpas

A Hybrid Machine Learning Framework for Enhancing the Prediction Power in Large Scale Population Studies: TheATHLOS Project

Aristidis G. Vrahatis, J. Ayuso-Mateos, V. Plagianakos, 2021, medRxiv.

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project

F. F. Caballero, J. Ayuso-Mateos, V. Plagianakos, 2022, Health Information Science and Systems.

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project

Aristidis G. Vrahatis, F. F. Caballero, J. Ayuso-Mateos, 2022, Health Information Science and Systems.

The development and validation of the pandemic medication-assisted treatment questionnaire for the assessment of pandemic crises impact on medication management and administration for patients with opioid use disorders

Sotiris K. Tasoulis, M. Tsironi, A. Veskoukis, 2022, Nordisk alkohol- & narkotikatidskrift : NAT.

Unsupervised Learning for Large Scale Data: The ATHLOS Project

F. F. Caballero, J. Ayuso-Mateos, D. Panagiotakos, 2021, medRxiv.

Unsupervised Learning for Large Scale Data: The ATHLOS Project

Aristidis G. Vrahatis, J. Ayuso-Mateos, V. Plagianakos, 2021, medRxiv.

Neural Networks Voting for Projection Based Ensemble Classifiers

V. Plagianakos, S. Tasoulis, S. Georgakopoulos, 2023, 2023 IEEE International Conference on Big Data (BigData).