Panagiotis Anagnostou

17 papers B 1C 3Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting neural network performance for high dimensional data through random projections. Pattern Recognit. Lett. Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2025	J	`jnl`	Correction: Large language models for efficient topic modeling. Neural Comput. Appl. Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2025	J	`jnl`	Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets. Int. J. Neural Syst. Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos
2025	C	`conf`	Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes. CIBCB Aikaterini Bilioni, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2025	J	`jnl`	Large language models for efficient topic modeling. Neural Comput. Appl. Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2025	C	`conf`	Short-term impacts of weather conditions on biomarkers among urban adults in Greece. CIBCB Katerina Tsiaktani, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, John A. Gittings, Dionysios E. Raitsos, Athanasia Sergounioti, Vassilis P. Plagianakos
2024	C	`conf`	HCER: Hierarchical Clustering-Ensemble Regressor. EANN Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2023	—	`conf`	Detection of Fake Generated Scientific Abstracts. BigDataService Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2023	J	`jnl`	Detection of Fake Generated Scientific Abstracts. CoRR Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2023	—	`conf`	Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis
2023	J	`jnl`	HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
2023	B	`conf`	Neural Networks Voting for Projection Based Ensemble Classifiers. IEEE Big Data Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2022	J	`jnl`	A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 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
2022	J	`jnl`	HiPart: Hierarchical Divisive Clustering Toolbox. CoRR Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
2021	J	`jnl`	Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 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
2020	—	`conf`	Approximate kNN Classification for Biomedical Data. IEEE BigData Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2020	J	`jnl`	Approximate kNN Classification for Biomedical Data. CoRR Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis