Genetic Programming Bibliography entries for Michaela Sikulova

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GP coauthors/coeditors: Lukas Sekanina, Michal Wiglasz, Radek Hrbacek, Martin Hurta, Stephen L Smith, Jane E Alty, Vojtech Mrazek, Jiri Hulva, G Komjathy,

Genetic Programming Articles by Michaela Sikulova

Genetic Programming PhD doctoral thesis Michaela Sikulova

Genetic Programming conference papers by Michaela Sikulova

  1. Martin Hurta and Vojtech Mrazek and Michaela Drahosova and Lukas Sekanina. 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), pages 155-160, 2023. details

  2. Martin Hurta and Vojtech Mrazek and Michaela Drahosova and Lukas Sekanina. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation \& Test in Europe Conference \& Exhibition (DATE), 2023. details

  3. Martin Hurta and Michaela Drahosova and Lukas Sekanina and Stephen L. Smith and Jane E. Alty. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 85-101, Madrid, Spain, 2022. Springer Verlag. details

  4. Michal Wiglasz and Michaela Drahosova. Plastic Fitness Predictors Coevolved with Cartesian Programs. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 164-179, Porto, Portugal, 2016. Springer Verlag. details

  5. Michaela Sikulova and Jiri Hulva and Lukas Sekanina. Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 113-125, Copenhagen, 2015. Springer. details

  6. M. Sikulova and G. Komjathy and L. Sekanina. Towards compositional coevolution in evolutionary circuit design. In IEEE International Conference on Evolvable Systems (ICES 2014), pages 157-164, 2014. details

  7. Radek Hrbacek and Michaela Sikulova. Coevolutionary Cartesian Genetic Programming in FPGA. In Pietro Lio and Orazio Miglino and Giuseppe Nicosia and Stefano Nolfi and Mario Pavone editors, Advances in Artificial Life, ECAL 2013, pages 431-438, Taormina, Italy, 2013. MIT Press. details

  8. Michaela Sikulova and Lukas Sekanina. Coevolution in Cartesian Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 182-193, Malaga, Spain, 2012. Springer Verlag. details

  9. Michaela Sikulova and Lukas Sekanina. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. In Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors, Parallel Problem Solving from Nature, PPSN XII (part 1), volume 7491, pages 163-172, Taormina, Italy, 2012. Springer. details