0534830 - ÚI 2021 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Vidnerová, Petra - Procházka, Štěpán - Neruda, RomanMultiobjective Evolution for Convolutional Neural Network Architecture Search.
Artificial Intelligence and Soft Computing. ICAISC 2020 Proceedings, Part I. Cham: Springer, 2020 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 261-270. Lecture Notes on Computer Science, 12415. ISBN 978-3-030-61400-3. ISSN 0302-9743.
[ICAISC 2020: International Conference on Artificial Intelligence and Soft Computing /19./. Zakopane (PL), 12.10.2020-14.10.2020]
Grant CEP: GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: Multi-objective evolution * Neural architecture search * Convolutional neural networks
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0312994
