Panagiotis Anagnostou

According to our database, Panagiotis Anagnostou authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

HiPart: Hierarchical Divisive Clustering Toolbox.

Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis

J. Open Source Softw., March, 2023

Ensemble Clustering for Boundary Detection in High-Dimensional Data.

Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Detection of Fake Generated Scientific Abstracts.

Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

Neural Networks Voting for Projection Based Ensemble Classifiers.

Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data, 2023

2022

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, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Health Inf. Sci. Syst., 2022

2021

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, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Appl. Artif. Intell., 2021

2020

Approximate kNN Classification for Biomedical Data.

Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020