Bibliografie

Brožová Antonie, Šmídl Václav, Tichý Ondřej : Bayesian methods in neural networks for inverse atmospheric modelling , Stochastic and Physical Monitoring Systems 2024, Stochastic and Physical Monitoring Systems 2024 (SPMS 2024) /15./, (Dobřichovice, CZ, 20240620) [2024] Download Download
Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N. : Estimation of spatio-temporal source of microplastics using Bayesian Neural networks , EGU General Assembly 2024, EGU General Assembly 2024, (Vienna, AT, 20240414) [2024] Download DOI: 10.5194/egusphere-egu24-5960
Brožová Antonie, Šmídl Václav : Avoiding Undesirable Solutions of Deep Blind Image Deconvolution , Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024), p. 559-566 , Eds: Radeva Petia, Furnari Antonino, Bouatouch Kadi, Sousa A. Augusto, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024) /19./, (Roma, IT, 20240227) [2024] Download DOI: 10.5220/0012397600003660