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

P. Barmpas, S. Tasoulis, A. Vrahatis, S. Georgakopoulos, P. Anagnostou, M. Prina, J. Ayuso-Mateos, J. Bickenbach, I. Bayes, M. Bobak, F. Caballero, S. Chatterji, L. Egea-Cortés, E. García-Esquinas, M. Leonardi, S. Koskinen, I. Koupil, A. Pajak, M. Prince, W. Sanderson, S. Scherbov, A. Tamosiunas, A. Galas, J. Haro, A. Sanchez-Niubo, V. Plagianakos, and D. Panagiotakos. Health Inf. Sci. Syst., 10 (1): 6 (2022)

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Aristidis Tripatzis

Aristidis Iliopoulos

Aristidis Papadopoulos

Aristidis Psychias

Aristidis Tsatsos

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Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs.S. Doukakis, A. Vrahatis, T. Exarchos, M. Hadjinicolaou, P. Vlamos, and C. Mouza. Int. J. Online Biomed. Eng., 19 (1): 21-37 (January 2023)A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes.M. Krokidis, G. Dimitrakopoulos, A. Vrahatis, C. Tzouvelekis, D. Drakoulis, F. Papavassileiou, T. Exarchos, and P. Vlamos. Sensors, 22 (2): 409 (2022)pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification.P. Papageorgiou, A. Korfiati, A. Misios, A. Vrahatis, A. Pittis, B. Tanasa, K. Mavrommatis, Y. Zhao, T. Yang, and V. Pitsikalis. BIBM, page 910-913. IEEE, (2023)Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease.M. Krokidis, G. Dimitrakopoulos, T. Exarchos, A. Vrahatis, and P. Vlamos. IEEE Big Data, page 4614-4617. IEEE, (2023)Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections.S. Tasoulis, A. Vrahatis, S. Georgakopoulos, and V. Plagianakos. IEEE BigData, page 5448-5450. IEEE, (2018)RLAC: Random Line Approximation Clustering.P. Barbas, A. Vrahatis, and S. Tasoulis. IEEE BigData, page 985-993. IEEE, (2021)Identifying disease network perturbations through regression on gene expression and pathway topology analysis.G. Dimitrakopoulos, P. Balomenos, A. Vrahatis, K. Sgarbas, and A. Bezerianos. EMBC, page 5969-5972. IEEE, (2016)Graph neural network approaches for single-cell data: a recent overview.K. Lazaros, D. Koumadorakis, P. Vlamos, and A. Vrahatis. Neural Comput. Appl., 36 (17): 9963-9987 (2024)Enhancing the Human Health Status Prediction: The ATHLOS Project.P. Anagnostou, S. Tasoulis, A. Vrahatis, S. Georgakopoulos, M. Prina, J. Ayuso-Mateos, J. Bickenbach, I. Bayes-Marin, F. Caballero, L. Egea-Cortés and 9 other author(s). Appl. Artif. Intell., 35 (11): 834-856 (2021)Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data.A. Vrahatis, S. Tasoulis, S. Georgakopoulos, and V. Plagianakos. Inf., 11 (11): 502 (2020)

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Disambiguation of "Vrahatis, Aristidis G."

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

Please choose a person to relate this publication to

Aristidis Tripatzis

Aristidis Iliopoulos

Aristidis Papadopoulos

Aristidis Psychias

Aristidis Tsatsos

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Vrahatis, Aristidis G."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.

Please choose a person to relate this publication to

Aristidis Tripatzis

Aristidis Iliopoulos

Aristidis Papadopoulos

Aristidis Psychias

Aristidis Tsatsos

Other publications of authors with the same name

Disambiguation

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