Search results
- 1.0558938 - ÚI 2023 RIV CH eng C - Conference Paper (international conference)
Suchopárová, Gabriela - Vidnerová, Petra - Neruda, Roman - Šmíd, Martin
Using 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]
Institutional support: RVO:67985807 ; RVO:67985556
Keywords : Deep learning * Risk model * Immunity waning
OECD category: 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
Permanent Link: https://hdl.handle.net/11104/0332424 - 2.0493605 - ÚTIA 2019 RIV CZ eng K - Conference Paper (Czech conference)
Kaňková, Vlasta
Multi-Objective Optimization Problems with Random Elements - Survey of Approaches.
36th International Conference Mathematical Methods in Economics. Praha: MatfyzPress, 2018 - (Váchová, L.; Kratochvíl, V.), s. 198-203. ISBN 978-80-7378-371-6.
[36th International Conference Mathematical Methods in Economics. Jindřichův Hradec (CZ), 12.09.2018-14.09.2018]
R&D Projects: GA ČR GA18-02739S
Institutional support: RVO:67985556
Keywords : multi-objective optimization problems * random element * mean-risk model * deterministic approach * stochastic multi-objective problems * constraints set * relaxation
OECD category: Economic Theory
http://library.utia.cas.cz/separaty/2018/E/kankova-0493605.pdf
Permanent Link: http://hdl.handle.net/11104/0286981 - 3.0369422 - ÚTIA 2013 RIV CZ eng C - Conference Paper (international conference)
Houda, Michal
Using indicators of ecological stability in stochastic programming.
Mathematical Methods in Economics 2011. Prague: Proffesional publishing, 2011, s. 279-283. ISBN 978-80-7431-058-4.
[Mathematical Methods in Economics 2011. Jánska Dolina (SK), 06.09.2011-09.09.2011]
R&D Projects: GA ČR GAP402/10/0956
Institutional research plan: CEZ:AV0Z10750506
Keywords : EIA process * indicator of ecological stability * stochastic programming * value-at-risk model
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0203488