Michaela Drahošová

Publications

• 2023

  HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. 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, pp. 1-2. ISBN 978-3-9819263-7-8.
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  HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. 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, pp. 155-160. ISBN 979-8-3503-3277-3.
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  HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno, 2023.
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• 2022

  HURTA Martin, DRAHOŠOVÁ Michaela, SEKANINA Lukáš, SMITH Stephen L. and ALTY Jane E. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In: Genetic Programming, 25th European Conference, EuroGP 2022. Lecture Notes in Computer Science, vol. 13223. Madrid: Springer Nature Switzerland AG, 2022, pp. 85-101. ISBN 978-3-031-02055-1.
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  HURTA Martin, DRAHOŠOVÁ Michaela and MRÁZEK Vojtěch. Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. In: Parallel Problem Solving from Nature - PPSN XVII. Lecture Notes in Computer Science, vol. 13398. Dortmund: Springer Nature Switzerland AG, 2022, pp. 491-504. ISBN 978-3-031-14713-5.
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• 2019

  DRAHOŠOVÁ Michaela, SEKANINA Lukáš and WIGLASZ Michal. Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. Evolutionary Computation, vol. 27, no. 3, 2019, pp. 497-523. ISSN 1063-6560.
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• 2016

  WIGLASZ Michal and DRAHOŠOVÁ Michaela. Plastic Fitness Predictors Coevolved with Cartesian Programs. In: 19th European Conference on Genetic programming. Lecture Notes in Computer Science, vol. 9594. Berlin: Springer International Publishing, 2016, pp. 164-179. ISBN 978-3-319-30667-4.
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• 2015

  DRAHOŠOVÁ Michaela, HULVA Jiří and SEKANINA Lukáš. Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs. In: Genetic Programming. Lecture Notes in Computer Science, vol. 9025. Berlin: Springer International Publishing, 2015, pp. 113-125. ISBN 978-3-319-16500-4.
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• 2014

  DRAHOŠOVÁ Michaela, KOMJÁTHY Gergely and SEKANINA Lukáš. Towards Compositional Coevolution in Evolutionary Circuit Design. In: 2014 IEEE International Conference on Evolvable Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014, pp. 157-164. ISBN 978-1-4799-4479-8.
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• 2013

  HRBÁČEK Radek and DRAHOŠOVÁ Michaela. Coevolutionary Cartesian Genetic Programming in FPGA. In: Advances in Artificial Life, ECAL 2013, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. Cambridge: MIT Press, 2013, pp. 431-438. ISBN 978-0-262-31709-2.
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  DRAHOŠOVÁ Michaela. Koevoluční algoritmus v kartézském genetickém programování. In: Počítačové architektury a diagnostika PAD 2013. Plzeň: University of West Bohemia in Pilsen, 2013, pp. 123-128. ISBN 978-80-261-0270-0.
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• 2012

  DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science, vol. 2012, no. 7491, pp. 163-172. ISBN 978-3-642-32936-4. ISSN 0302-9743.
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  DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. 8th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science. Brno: Masaryk University, 2012. ISBN 978-80-87342-15-2.
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  DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Coevolution in Cartesian Genetic Programming. In: Proc. of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science, vol. 7244. Heidelberg: Springer Verlag, 2012, pp. 182-193. ISBN 978-3-642-29138-8.
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• 2011

  DRAHOŠOVÁ Michaela. Symbolic Regression Using Cartesian Genetic Programming. In: Proceedings of the 17th Conference STUDENT EEICT 2011. Brno: Faculty of Information Technology BUT, 2011, pp. 347-349. ISBN 978-80-214-4272-6.
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