Approximate kNN Classification for Biomedical Data. - Panagiotis Anagnostou; Petros T. Barbas; Aristidis G. Vrahatis; Sotiris K. Tasoulis (IEEE BigData, 2020)

Enhancing the Human Health Status Prediction: The ATHLOS Project. - Panagiotis Anagnostou; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Matthew Prina; José Luis Ayuso-Mateos; Joachim Bickenbach; I. Bayes-Marin; Francisco Félix Caballero; Laia Egea-Cortés; Esther García-Esquinas; Matilde Leonardi; et al. (Appl. Artif. Intell., 2021)

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. - Petros Barmpas; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Panagiotis Anagnostou; Matthew Prina; José Luis Ayuso-Mateos; Jerome Bickenbach; Ivet Bayes; Martin Bobak; Francisco Félix Caballero; Somnath Chatterji; et al. (Health Inf. Sci. Syst., 2022)

Neural Networks Voting for Projection Based Ensemble Classifiers. - Panagiotis Anagnostou; Petros Barmpas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE Big Data, 2023)

Detection of Fake Generated Scientific Abstracts. - Panagiotis C. Theocharopoulos; Panagiotis Anagnostou; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (BigDataService, 2023)

Ensemble Clustering for Boundary Detection in High-Dimensional Data. - Panagiotis Anagnostou; Nicos G. Pavlidis; Sotiris K. Tasoulis (LOD (2), 2023)

HiPart: Hierarchical Divisive Clustering Toolbox. - Panagiotis Anagnostou; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (J. Open Source Softw., 2023)

HCER: Hierarchical Clustering-Ensemble Regressor. - Petros Barmpas; Panagiotis Anagnostou; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (EANN, 2024)