Publications
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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.
p. 0-0. DetailHURTA, 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.
p. 1-2. ISBN: 978-3-9819263-7-8. DetailHURTA, 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.
p. 155-160. ISBN: 979-8-3503-3277-3. Detail -
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.
p. 491-504. ISBN: 978-3-031-14713-5. DetailHURTA, 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.
p. 85-101. ISBN: 978-3-031-02055-1. Detail -
2019
DRAHOŠOVÁ, M.; SEKANINA, L.; WIGLASZ, M. Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. EVOLUTIONARY COMPUTATION, 2019, vol. 27, no. 3,
p. 497-523. ISSN: 1063-6560. Detail -
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.
p. 164-179. ISBN: 978-3-319-30667-4. Detail -
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.
p. 113-125. ISBN: 978-3-319-16500-4. Detail -
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.
p. 157-164. ISBN: 978-1-4799-4479-8. Detail -
2013
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. DetailHRBÁČEK, 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.
p. 431-438. ISBN: 978-0-262-31709-2. 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.
p. 182-193. ISBN: 978-3-642-29138-8. DetailDRAHOŠOVÁ, M.; SEKANINA, L. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science, 2012, vol. 2012, no. 7491,
p. 163-172. ISSN: 0302-9743. Detail -
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