%0 Journal Article %1 journals/hisas/BarmpasTVGAPABB22 %A Barmpas, Petros %A Tasoulis, Sotiris K. %A Vrahatis, Aristidis G. %A Georgakopoulos, Spiros V. %A Anagnostou, Panagiotis %A Prina, Matthew %A Ayuso-Mateos, José Luis %A Bickenbach, Jerome %A Bayes, Ivet %A Bobak, Martin %A Caballero, Francisco Félix %A Chatterji, Somnath %A Egea-Cortés, Laia %A García-Esquinas, Esther %A Leonardi, Matilde %A Koskinen, Seppo %A Koupil, Ilona %A Pajak, Andrzej %A Prince, Martin %A Sanderson, Warren %A Scherbov, Sergei %A Tamosiunas, Abdonas %A Galas, Aleksander %A Haro, Josep Maria %A Sanchez-Niubo, Albert %A Plagianakos, Vassilis P. %A Panagiotakos, Demosthenes %D 2022 %J Health Inf. Sci. Syst. %K dblp %N 1 %P 6 %T A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. %U http://dblp.uni-trier.de/db/journals/hisas/hisas10.html#BarmpasTVGAPABB22 %V 10

@article{journals/hisas/BarmpasTVGAPABB22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Barmpas, Petros and Tasoulis, Sotiris K. and Vrahatis, Aristidis G. and Georgakopoulos, Spiros V. and Anagnostou, Panagiotis and Prina, Matthew and Ayuso-Mateos, José Luis and Bickenbach, Jerome and Bayes, Ivet and Bobak, Martin and Caballero, Francisco Félix and Chatterji, Somnath and Egea-Cortés, Laia and García-Esquinas, Esther and Leonardi, Matilde and Koskinen, Seppo and Koupil, Ilona and Pajak, Andrzej and Prince, Martin and Sanderson, Warren and Scherbov, Sergei and Tamosiunas, Abdonas and Galas, Aleksander and Haro, Josep Maria and Sanchez-Niubo, Albert and Plagianakos, Vassilis P. and Panagiotakos, Demosthenes}, biburl = {https://www.bibsonomy.org/bibtex/270da5d0af5db0b1784ca3f341f605618/dblp}, ee = {https://doi.org/10.1007/s13755-022-00171-1}, interhash = {554658a1ea6ea6dcb277c8db8c3f6360}, intrahash = {70da5d0af5db0b1784ca3f341f605618}, journal = {Health Inf. Sci. Syst.}, keywords = {dblp}, number = 1, pages = 6, timestamp = {2024-04-09T02:39:18.000+0200}, title = {A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.}, url = {http://dblp.uni-trier.de/db/journals/hisas/hisas10.html#BarmpasTVGAPABB22}, volume = 10, year = 2022 }