Genetic Programming Bibliography entries for Jiri Kubalik

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GP coauthors/coeditors: Eduard Alibekov, Robert Babuska, Jan Cerny, Erik Derner, Nicola Ancona, Jan Koutnik, Leon J M Rothkrantz, Jiri Lazansky, Marcel Jirina, Oldrich Stary, Lenka Lhotska, Jan Suchy, Jan Faigl, Jan Zegklitz, Martin Vastl, Jonas Kulhanek,

Genetic Programming Articles by Jiri Kubalik

  1. Martin Vastl and Jonas Kulhanek and Jiri Kubalik and Erik Derner and Robert Babuska. SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture. IEEE Access, 12:37840-37849, 2024. details

  2. Jiri Kubalik and Erik Derner and Robert Babuska. Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access, 11:61481-61501, 2023. details

  3. Jiri Kubalik and Erik Derner and Robert Babuska. Multi-objective symbolic regression for physics-aware dynamic modeling. Expert Systems with Applications, 182:115210, 2021. details

  4. Erik Derner and Jiri Kubalik and Nicola Ancona and Robert Babuska. Constructing parsimonious analytic models for dynamic systems via symbolic regression. Applied Soft Computing, 94:106432, 2020. details

  5. Jiri Kubalik and Eduard Alibekov and Robert Babuska. Optimal Control via Reinforcement Learning with Symbolic Policy Approximation. IFAC-PapersOnLine, 50(1):4162-4167, 2017. 20th IFAC World Congress. details

  6. Jiri Kubalik and Eduard Alibekov and Jan Zegklitz and Robert Babuska. Hybrid Single Node Genetic Programming for Symbolic Regression. Trans. Computational Collective Intelligence, 9770:61-82, 2016. details

Genetic Programming conference papers by Jiri Kubalik

  1. Erik Derner and Jiri Kubalik and Robert Babuska. Guiding Robot Model Construction with Prior Features. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7112-7118, 2021. details

  2. Jiri Kubalik and Erik Derner and Robert Babuska. Symbolic Regression Driven by Training Data and Prior Knowledge. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 958-966, internet, 2020. Association for Computing Machinery. details

  3. Erik Derner and Jiri Kubalik and Robert Babuska. Data-driven Construction of Symbolic Process Models for Reinforcement Learning. In 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018. details

  4. Jiri Kubalik and Erik Derner and Robert Babuska. Enhanced Symbolic Regression Through Local Variable Transformations. In Christophe Sabourin and Juan Julian Merelo and Una-May O'Reilly and Kurosh Madani and Kevin Warwick editors, Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI, pages 91-100, Funchal, Madeira, Portugal, 2017. SciTePress. details

  5. Eduard Alibekov and Jiri Kubalik and Robert Babuska. Symbolic method for deriving policy in reinforcement learning. In 2016 IEEE 55th Conference on Decision and Control (CDC), pages 2789-2795, 2016. details

  6. Jiri Kubalik and Robert Babuska. An Improved Single Node Genetic Programming for Symbolic Regression. In Agostinho Rosa and Juan Julian Merelo and Antonio Dourado and Jose M. Cadenas and Kurosh Madani and Antonio Ruano and Joaquim Filipe editors, Proceedings of the 7th International Joint Conference on Computational Intelligence, ECTA 2015, pages 244-251, Lisbon, Portugal, 2015. SCITEPRESS - Science and Technology Publications. details

  7. Jan Cerny and Jiri Kubalik. Co-evolutionary Approach to Design of Robotic Gait. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 550-559, Vienna, 2013. Springer Verlag. details

  8. Jan Koutnik and Jiri Kubalik. Structure Aware Two Point Crossover for Grammatical Evolution. In R. Matousek and L. Nolle editors, 15th International Conference on Soft Computing, Mendel'09, pages 49-54, Brno, Czech Republic, 2009. details

  9. Jiri Kubalik and Jan Faigl. Iterative Prototype Optimisation with Evolved Improvement Steps. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 154-165, Budapest, Hungary, 2006. Springer. details

  10. Jan Suchy and Jiri Kubalik. Inducing Diverse Decision Forests with Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 301-310, Lausanne, Switzerland, 2005. Springer. details

  11. Jiri Kubalik and Marcel Jirina and Oldrich Stary and Lenka Lhotska and Jan Suchy. Application of Soft Computing Techniques to Classification of Licensed Subjects. In Luis M. Camarinha-Matos editor, Emerging Solutions for Future Manufacturing Systems: IFP TC 5 / WG 5.5 Sixth IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, volume 159, pages 481-488, 27--29 September, 2004. Springer. details

  12. Jiri Kubalik and Jan Koutnik and Leon J. M. Rothkrantz. Grammatical Evolution with Bidirectional Representation. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 354-363, Essex, 2003. Springer-Verlag. details

  13. Jiri Kubalik and Leon Rothkrantz and Jiri Lazansky. Genetic Programming Fuzzy Rule Extractor Using Class Preserving Representation. In BNAIC, pages 25-26 October, 2001. details

Genetic Programming other entries for Jiri Kubalik