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- 1.0562909 - ÚI 2023 eng A - Abstract
Neruda, Roman
Evolutionary Algorithms in Machine Learning.
[Prague computer science seminar /42./. Prague, 25.04.2019-25.04.2019]
Method of presentation: Zvaná přednáška
URL events: https://www.praguecomputerscience.cz/?l=en&p=42
Institutional support: RVO:67985807
Permanent Link: https://hdl.handle.net/11104/0335076 - 2.0562839 - ÚI 2023 eng A - Abstract
Neruda, Roman
More Efficient Data Mining by Means of Meta-Learning.
[Multidisciplinary International Social Networks Conference /14./. Bangkok, 17.07.2017-19.07.2017]
Method of presentation: Zvaná přednáška
Permanent Link: https://hdl.handle.net/11104/0335032File Download Size Commentary Version Access MISNC2017_Program.pdf 1 802.1 KB Other open-access - 3.0544022 - ÚI 2022 CZ cze A - Abstract
Neruda, Roman
Agentní modely.
Poučení z pandemie COVID-19. Program konference. Praha: BISOP, 2021.
[Poučení z pandemie COVID-19. 16.06.2021-16.06.2021, Online]
Institutional support: RVO:67985807
Keywords : popularizace vědy * covid
https://youtu.be/z8Fn9P3yAMk?t=16684
Permanent Link: http://hdl.handle.net/11104/0321085 - 4.0540943 - ÚI 2021 cze A - Abstract
Neruda, Roman
Model M – Několik poznámek k optimálnímu algoritmu pro Chytrou karanténu (přednáška).
Sympozium: Změny chování české populace v době COVID-19 a jejich reflexe v epidemiologických modelech. Praha / Online: CERGE-EI, 2020.
[Sympozium: Změny chování české populace v době COVID-19 a jejich reflexe v epidemiologických modelech. 19.05.2020-19.05.2020, Online]
Institutional support: RVO:67985807
Keywords : Popularizace vědy
https://idea.cerge-ei.cz/images/COVID/Model_antiCOVID/Model_M___Roman.pdf
Permanent Link: http://hdl.handle.net/11104/0318533File Download Size Commentary Version Access 0540943-preze.pdf 0 1.7 MB volně online Other open-access - 5.0540910 - ÚI 2021 CZ cze A - Abstract
Neruda, Roman
Model M – Mikropohled města (přednáška).
Konference COVID v modelech. Praha: BISOP. Centrum pro modelovaní biologických a společenských procesů, 2020.
[Konference COVID v modelech 2020. 13.11.2020-13.11.2020, Online]
Institutional support: RVO:67985807
https://www.bisop.eu/wp-content/uploads/2020/11/Roman13.pdf
Permanent Link: http://hdl.handle.net/11104/0318511File Download Size Commentary Version Access 0540910-preze.pdf 1 2.8 MB volně online Other open-access - 6.0540886 - ÚI 2021 CZ cze A - Abstract
Neruda, Roman
Model M - Cesta k věrnému modelu města (přednáška).
NZIS Open 2020. Praha, 2020.
[NZIS & ISIN Open 2020: Otevíráme zdravotnická data & Epidemiologická data COVID-19. 27.05.2020-27.06.2020, Praha]
https://nzis-open.uzis.cz/prezentace-2020/16-neruda.pdf
Permanent Link: http://hdl.handle.net/11104/0318489File Download Size Commentary Version Access 0540886-preze.pdf 1 808.2 KB volně online Other open-access - 7.0493715 - ÚI 2019 CZ eng A - Abstract
Vidnerová, Petra - Neruda, Roman
Evolving KERAS Architectures for Sensor Data Analysis.
FedCSIS Book of Abstracts. Prague, 2017. s. 30-30.
[FedCSIS 2017. Federated Conference on Computer Science and Information Systems. 03.09.2017-06.09.2017, Prague]
Permanent Link: http://hdl.handle.net/11104/0287039File Download Size Commentary Version Access a0493715.pdf 4 140.1 KB Publisher’s postprint open-access - 8.0449173 - ÚI 2016 DE eng A - Abstract
Křen, T. - Pilát, M. - Pešková, K. - Neruda, Roman
Generating workflow graphs using typed genetic programming.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection. Aachen University: CEUR, 2015. s. 108-109. ISSN 1613-0073.
[MetaSel 2015. Meta-learning and Algorithm Selection. 07.09.2015, Prague]
R&D Projects: GA ČR GA15-19877S
Grant - others:GA UK(CZ) SVV 260224; GA UK 187 115
Institutional support: RVO:67985807
Subject RIV: IN - Informatics, Computer Science
http://ceur-ws.org/Vol-1455/paper-13.pdf
Permanent Link: http://hdl.handle.net/11104/0250744File Download Size Commentary Version Access a0449173.pdf 0 185.2 KB Publisher’s postprint open-access - 9.0436190 - ÚI 2015 DE eng A - Abstract
Pešková, K. - Šmíd, J. - Pilát, M. - Kazík, O. - Neruda, Roman
Hybrid Multi-Agent System for Metalearning in Data Mining.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection. Aachen University: CEUR, 2014. s. 53-54. ISSN 1613-0073.
[MetaSel 2014. Meta-learning and Algorithm Selection. 19.08.2014, Prague]
R&D Projects: GA MŠMT(CZ) LD13002
Grant - others:GA UK(CZ) 610214
Institutional support: RVO:67985807
Keywords : data mining * multi-agent systems * artificial intelligence
Subject RIV: IN - Informatics, Computer Science
http://ceur-ws.org/Vol-1201/paper-13.pdf
Permanent Link: http://hdl.handle.net/11104/0239976 - 10.0403693 - UIVT-O 990064 US eng A - Abstract
Neruda, Roman
Utilizing Unique Parametrization Property in Approximate Genetic Learning of Feed-Forward Networks.
IJCNN'99. International Joint Conference on Neural Networks. Book of Summaries. Washington: International Neural Network Society, 1999. s. 2008.
[IJCNN'99. 10.07.1999-16.07.1999, Washington]
Permanent Link: http://hdl.handle.net/11104/0123990