Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gabriela Suchoparova"'
Autor:
Roman Neruda, Petra Vidnerová, Gabriela Suchoparova, Martin Smid, Rene Levinsky, Ludek Berec, Jakub Weiner
Following initial optimism regarding the potential for rapid vaccination, delays and shortages in vaccine supplies have occurred in many countries. Various strategies to counter this gloomy reality and speed up vaccination have been set forth, of whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e92362e0b5770e52b551f0a8da39f743
https://doi.org/10.1101/2021.06.30.21259752
https://doi.org/10.1101/2021.06.30.21259752
Autor:
Petra Vidnerová, Cyril Brom, Roman Neruda, Gabriela Suchoparova, Rene Levinsky, Martin Smid, Tomas Diviak, Jan Trnka, Josef Šlerka, Jakub Drbohlav, Vaclav Korbel
SummaryBackgroundRotations of schoolchildren on a weekly basis is one of the nonpharmaceutical interventions often considered in the covid-19 pandemic. This study aims to investigate the impact of different types of rotations in various testing conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31451fb1bd6fdacbbf11d7ba8cc8fedd
https://doi.org/10.1101/2021.06.28.21259628
https://doi.org/10.1101/2021.06.28.21259628
Autor:
Levínský R, Ludek Berec, Josef Šlerka, Kuběna A, Milan Zajicek, Martin Smid, Roman Neruda, Tuček, Jan Trnka, Zapletal F, Gabriela Suchoparova, Tomas Diviak, Petra Vidnerová
This report presents a technical description of our agent-based epidemic model of a particular middle-sized municipality. We have developed a realistic model with 56 thousand inhabitants and 2.7 millions of social contacts. These form a multi-layer s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bad85526efc970ceeeae764cd948589
https://doi.org/10.1101/2021.05.13.21257139
https://doi.org/10.1101/2021.05.13.21257139
Autor:
Roman Neruda, Gabriela Suchoparova
Publikováno v:
SSCI
We propose an AutoML system for pipeline optimization based on developmental genetic programming — genens. It is built atop of scikit-learn pipelines, and it focuses on both hyperparameter and architecture optimization. Compared to existing systems