Publikace

• 2023

  HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. s. 0-0.
  Detail | WWW

  HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Tallinn: Institute of Electrical and Electronics Engineers, 2023. s. 155-160. ISBN: 979-8-3503-3277-3.
  Detail | WWW

  HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). Antwerp: Institute of Electrical and Electronics Engineers, 2023. s. 1-2. ISBN: 978-3-9819263-7-8.
  Detail | WWW

• 2022

  HURTA, M.; DRAHOŠOVÁ, M.; MRÁZEK, V. Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. In Parallel Problem Solving from Nature - PPSN XVII. Lecture Notes in Computer Science. Dortmund: Springer Nature Switzerland AG, 2022. s. 491-504. ISBN: 978-3-031-14713-5.
  Detail | WWW

  HURTA, M.; DRAHOŠOVÁ, M.; SEKANINA, L.; SMITH, S.; ALTY, J. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In Genetic Programming, 25th European Conference, EuroGP 2022. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2022. s. 85-101. ISBN: 978-3-031-02055-1.
  Detail | WWW

• 2019

  DRAHOŠOVÁ, M.; SEKANINA, L.; WIGLASZ, M. Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. EVOLUTIONARY COMPUTATION, 2019, roč. 27, č. 3, s. 497-523. ISSN: 1063-6560.
  Detail | WWW

• 2016

  WIGLASZ, M.; DRAHOŠOVÁ, M. Plastic Fitness Predictors Coevolved with Cartesian Programs. In 19th European Conference on Genetic programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2016. s. 164-179. ISBN: 978-3-319-30667-4.
  Detail | WWW

• 2015

  DRAHOŠOVÁ, M.; HULVA, J.; SEKANINA, L. Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs. In Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2015. s. 113-125. ISBN: 978-3-319-16500-4.
  Detail | WWW

• 2014

  DRAHOŠOVÁ, M.; KOMJÁTHY, G.; SEKANINA, L. Towards Compositional Coevolution in Evolutionary Circuit Design. In 2014 IEEE International Conference on Evolvable Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. s. 157-164. ISBN: 978-1-4799-4479-8.
  Detail | WWW

• 2013

  HRBÁČEK, R.; DRAHOŠOVÁ, M. Coevolutionary Cartesian Genetic Programming in FPGA. Advances in Artificial Life, ECAL 2013, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. Cambridge: MIT Press, 2013. s. 431-438. ISBN: 978-0-262-31709-2.
  Detail | WWW

  DRAHOŠOVÁ, M. Koevoluční algoritmus v kartézském genetickém programování. Počítačové architektury a diagnostika PAD 2013. Plzeň: Západočeská univerzita v Plzni, 2013. s. 123-128. ISBN: 978-80-261-0270-0.
  Detail

• 2012

  DRAHOŠOVÁ, M.; SEKANINA, L. Coevolution in Cartesian Genetic Programming. Proc. of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2012. s. 182-193. ISBN: 978-3-642-29138-8.
  Detail | WWW

  DRAHOŠOVÁ, M.; SEKANINA, L. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science, 2012, roč. 2012, č. 7491, s. 163-172. ISSN: 0302-9743.
  Detail | WWW

• 2011

  DRAHOŠOVÁ, M. Symbolická regrese s užitím kartézského genetického programování. Proceedings of the 17th Conference STUDENT EEICT 2011. Brno: Fakulta informačních technologií VUT v Brně, 2011. s. 347-349. ISBN: 978-80-214-4272-6.
  Detail | WWW

*) Citace publikací se generují jednou za 24 hodin.