0558938 - ÚI 2023 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Suchopárová, Gabriela - Vidnerová, Petra - Neruda, Roman - Šmíd, MartinUsing a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19.
Engineering Applications of Neural Networks. Cham: Springer, 2022 - (Iliadis, L.; Jayne, C.; Tefas, A.; Pimenidis, E.), s. 310-320. Communications in Computer and Information Science, 1600. ISBN 978-3-031-08222-1. ISSN 1865-0929.
[EANN 2022: International Conference on Engineering Applications of Neural Networks /23./. Chersonissos / Virtual (GR), 17.06.2022-20.06.2022]
Institucionální podpora: RVO:67985807 ; RVO:67985556
Klíčová slova: Deep learning * Risk model * Immunity waning
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Statistics and probability (UTIA-B)
https://dx.doi.org/10.1007/978-3-031-08223-8_26
Trvalý link: https://hdl.handle.net/11104/0332424