Search results

  1. 1.
    0491993 - ÚI 2019 RIV US eng C - Conference Paper (international conference)
    Šlapák, M. - Neruda, Roman
    Matching Subtrees in Genetic Programming Crossover Operator.
    ICNC-FSKD 2017. Proceedings of International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. Piscataway: IEEE, 2017, s. 208-213. ISBN 978-1-5386-2165-3.
    [ICNC-FSKD 2017. International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery /13./. Guilin (CN), 29.07.2017-31.07.2017]
    R&D Projects: GA ČR GA15-19877S
    Grant - others:ČVUT(CZ) SGS17/210/OHK3/3T/18
    Institutional support: RVO:67985807
    Keywords : Semantics * Genetic programming * Benchmark testing * Encoding * Standards * Computer science * Electronic mail
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0285591
     
     
  2. 2.
    0491208 - ÚI 2019 RIV US eng C - Conference Paper (international conference)
    Moudřík, J. - Křen, T. - Neruda, Roman
    Algorithm Discovery with Monte-Carlo Search: Controlling the Size.
    Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence. Los Alamitos: IEEE, 2017, s. 390-395. ISBN 978-1-5386-3876-7. E-ISSN 2375-0197.
    [ICTAI 2017. IEEE International Conference on Tools with Artificial Intelligence /29./. Boston (US), 06.11.2017-08.11.2017]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : Monte-Carlo Tree Search * Parametric Polymorphism * Genetic Programming * Nested Monte-Carlo Search * UCT
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0285247
     
     
  3. 3.
    0490833 - ÚI 2019 RIV US eng C - Conference Paper (international conference)
    Křen, T. - Pilát, M. - Neruda, Roman
    Multi-Objective Evolution of Machine Learning Workflows.
    SSCI 2017 IEEE Symposium Series on Computational Intelligence. New York: IEEE, 2017. ISBN 978-1-5386-2726-6.
    [SSCI 2017. Symposium Series on Computational Intelligence. Honolulu (US), 27.11.2017-01.12.2017]
    R&D Projects: GA ČR GA15-19877S
    Grant - others:GA MŠk(CZ) LM2015042; GA UK(CZ) 187115
    Institutional support: RVO:67985807
    Keywords : genetic programming * multi-objective evolutionary algorithm * machine learning
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0284977
     
     
  4. 4.
    0490832 - ÚI 2019 RIV US eng C - Conference Paper (international conference)
    Křen, T. - Moudřík, J. - Neruda, Roman
    Combining Top-Down and Bottom-Up Approaches for Automated Discovery of Typed Programs.
    SSCI 2017 IEEE Symposium Series on Computational Intelligence. New York: IEEE, 2017, s. 938-945. ISBN 978-1-5386-2726-6.
    [SSCI 2017. Symposium Series on Computational Intelligence. Honolulu (US), 27.11.2017-01.12.2017]
    R&D Projects: GA ČR GA15-19877S
    Grant - others:GA UK(CZ) 187115; GA UK(CZ) 364015
    Institutional support: RVO:67985807
    Keywords : Parametric Polymorphism * Monte-Carlo Tree Search * Genetic Programming * Nested Monte-Carlo Search
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0284976
     
     
  5. 5.
    0479378 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
    Neruda, Roman - Pilát, M. - Moudřík, J.
    Unsupervised and Supervised Activity Analysis of Drone Sensor Data.
    Applied Computer Sciences in Engineering. Cham: Springer, 2017 - (Figueroa-García, J.; López-Santana, E.; Villa-Ramírez, J.; Ferro-Escobar, R.), s. 3-11. Communications in Computer and Information Science, 742. ISBN 978-3-319-66962-5. ISSN 1865-0929.
    [WEA 2017. Workshop on Engineering Applications /4./. Cartagena (CO), 27.09.2017-29.09.2017]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : robotics * machine learning * sensor data * drones * robotika * strojové učení * senzorová data * drony
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0275352
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  6. 6.
    0477041 - ÚI 2018 RIV US eng C - Conference Paper (international conference)
    Pilát, M. - Neruda, Roman
    Parallel Evolutionary Algorithm with Interleaving Generations.
    GECCO 2017. Proceedings of the 2017 Genetic and Evolutionary Computation Conference. New York: ACM, 2017, s. 865-872. ISBN 978-1-4503-4920-8.
    [GECCO 2017. Genetic and Evolutionary Computation Conference. Berlin (DE), 15.07.2017-19.07.2017]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : evolutionary algorithms * parallelization * evaluation-time bias * complex optimization * interleaving generations
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0273439
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    a0477041.pdf0840.4 KBPublisher’s postprintrequire
     
     
  7. 7.
    0472406 - ÚI 2017 RIV US eng C - Conference Paper (international conference)
    Pilát, M. - Křen, T. - Neruda, Roman
    Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming.
    Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence. Los Alamitos: IEEE Computer Society, 2016, s. 577-584. ISBN 978-1-5090-4459-7. ISSN 2375-0197.
    [ICTAI 2016. IEEE International Conference on Tools with Artificial Intelligence /28./. San Jose (US), 06.11.2016-08.11.2016]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : asynchronous evolution * data mining * machine learning * typed genetic programming
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0269724
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    a0472406.pdf3983.6 KBPublisher’s postprintrequire
     
     
  8. 8.
    0470347 - ÚI 2017 RIV CH eng C - Conference Paper (international conference)
    Neruda, Roman
    Search Techniques for Automated Proposal of Data Mining Schemes.
    Applied Computer Sciences in Engineering. Cham: Springer, 2016 - (Figueroa-García, J.; López-Santana, E.; Ferro-Escobar, R.), s. 84-90. Communications in Computer and Information Science, 657. ISBN 978-3-319-50879-5. ISSN 1865-0929.
    [WEA 2016. Workshop on Engineering Applications /3./. Bogota (CO), 21.09.2016-23.09.2016]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : computational intelligence * machine learning * meta-learning
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0268011
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  9. 9.
    0469509 - ÚI 2017 RIV US eng C - Conference Paper (international conference)
    Pilát, M. - Neruda, Roman
    General Tuning of Weights in MOEA/D.
    CEC 2016. IEEE Congress on Evolutionary Computation. New York: IEEE, 2016, s. 965-972. ISBN 978-1-5090-0623-6.
    [CEC 2016. IEEE Congress on Evolutionary Computation. Vancouver (CA), 24.07.2016-29.07.2016]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : computational intelligence * evolutionary algorithms * optimization
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0267291
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  10. 10.
    0469507 - ÚI 2017 RIV US eng C - Conference Paper (international conference)
    Vidnerová, Petra - Neruda, Roman
    Evolutionary Generation of Adversarial Examples for Deep and Shallow Machine Learning Models.
    Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016. New York: ACM, 2016, č. článku 43. ISBN 978-1-4503-4129-5.
    [MISCN 2016. Multidisciplinary International Social Networks Conference on SocialInformatics /3./. New Yersey (US), 15.08.2016-17.08.2016]
    R&D Projects: GA ČR GA15-19877S
    Institutional support: RVO:67985807
    Keywords : supervised learning * neural networks * search methodologies
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0267290
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    a0469507.pdf3583.8 KBPublisher’s postprintrequire
     
     

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