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Panagiotis Anagnostou
Panagiotis Anagnostou
PhD, Department of Computer Science and Biomedical Informatics, University of Thessaly.
Verified email at uth.gr
Title
Cited by
Cited by
Year
Approximate kNN classification for biomedical data
P Anagnostou, P Barbas, AG Vrahatis, SK Tasoulis
2020 IEEE International Conference on Big Data (Big Data), 3602-3607, 2020
112020
Detection of fake generated scientific abstracts
PC Theocharopoulos, P Anagnostou, A Tsoukala, SV Georgakopoulos, ...
2023 IEEE Ninth International Conference on Big Data Computing Service and …, 2023
62023
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project
P Barmpas, S Tasoulis, AG Vrahatis, SV Georgakopoulos, P Anagnostou, ...
Health Information Science and Systems 10 (1), 6, 2022
32022
Enhancing the human health status prediction: the athlos project
P Anagnostou, S Tasoulis, AG Vrahatis, S Georgakopoulos, M Prina, ...
Applied Artificial Intelligence 35 (11), 834-856, 2021
32021
Neural Networks Voting for Projection Based Ensemble Classifiers
P Anagnostou, P Barmpas, SK Tasoulis, SV Georgakopoulos, ...
2023 IEEE International Conference on Big Data (BigData), 4567-4574, 2023
2023
Ensemble Clustering for Boundary Detection in High-Dimensional Data
P Anagnostou, NG Pavlidis, S Tasoulis
International Conference on Machine Learning, Optimization, and Data Science …, 2023
2023
HiPart: Hierarchical Divisive Clustering Toolbox
P Anagnostou, S Tasoulis, V Plagianakos, D Tasoulis
Journal of Open Source Software 8 (84), 5024, 2023
2023
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