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Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19
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SYSNO 0558938 Title Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19 Author(s) Suchopárová, Gabriela (UIVT-O) RID, ORCID, SAI
Vidnerová, Petra (UIVT-O) RID, SAI, ORCID
Neruda, Roman (UIVT-O) SAI, RID, ORCID
Šmíd, Martin (UTIA-B) [E] RID, ORCIDSource Title Engineering Applications of Neural Networks. S. 310-320. - Cham : Springer, 2022 / Iliadis L. ; Jayne Ch. ; Tefas A. ; Pimenidis E. Conference EANN 2022: International Conference on Engineering Applications of Neural Networks /23./, 17.06.2022 - 20.06.2022, Chersonissos / Virtual Document Type Konferenční příspěvek (zahraniční konf.) Institutional support UIVT-O - RVO:67985807 ; UTIA-B - RVO:67985556 Language eng Country CH Keywords Deep learning * Risk model * Immunity waning Cooperating institutions Centre for Modelling of Biological and Social Processes, Prague (Czech Republic)
Matematicko-fyzikalni fakulta UKURL https://dx.doi.org/10.1007/978-3-031-08223-8_26 Permanent Link https://hdl.handle.net/11104/0332424
Number of the records: 1