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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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Nicole Bobak

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PROCESS Data Infrastructure and Data Services.R. Cushing, O. Valkering, A. Belloum, S. Madougou, J. Maassen, M. Bobák, O. Habala, V. Tran, J. Meizner, P. Nowakowski and 2 other author(s). Comput. Informatics, 39 (4): 724-756 (2020)Tailored platforms as cloud service.M. Bobák, L. Hluchý, and V. Tran. SISY, page 43-48. IEEE, (2015)Reference Exascale Architecture.M. Bobák, B. Somosköi, M. Graziani, M. Heikkurinen, M. Höb, J. Schmidt, L. Hluchý, A. Belloum, R. Cushing, J. Meizner and 4 other author(s). eScience, page 479-487. IEEE, (2019)Geospatial preprocessing for situational assessment through hydraulic simulations.G. Nguyen, M. Bobák, and L. Hluchý. ICNC-FSKD, page 2429-2435. IEEE, (2017)Exascale computing and data architectures for brownfield applications.M. Bobák, A. Belloum, P. Nowakowski, J. Meizner, M. Bubak, M. Heikkurinen, O. Habala, and L. Hluchý. ICNC-FSKD, page 450-457. IEEE, (2018)Abstract model of k-cloud computing.M. Bobák, L. Hluchý, and V. Tran. FSKD, page 710-714. IEEE, (2014)Transformation of a Legacy Airport Meteorology Application into a Serverless Cloud Application.L. Hluchý, O. Habala, M. Bobák, and M. Seleng. SACI, page 637-642. IEEE, (2023)Exascale Flood Modelling in Environment Supporting Urgent Computing.M. Bobák, O. Habala, and L. Hluchý. ICNC-FSKD, volume 1075 of Advances in Intelligent Systems and Computing, page 384-391. Springer, (2019)Reference Exascale Architecture (Extended Version).M. Bobák, L. Hluchý, O. Habala, V. Tran, R. Cushing, O. Valkering, A. Belloum, M. Graziani, H. Müller, S. Madougou and 1 other author(s). Comput. Informatics, 39 (4): 644-677 (2020)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 and 17 other author(s). Health Inf. Sci. Syst., 10 (1): 6 (2022)

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Disambiguation of "Bobak, Martin"

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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

Nicole Bobak

Martin Breitenfeldt

Martin Faes

Martin Klug

Martin Brückner

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bobak, Martin"

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

Nicole Bobak

Martin Breitenfeldt

Martin Faes

Martin Klug

Martin Brückner

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
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A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.