| Benchmarking state-of-the-art symbolic regression algorithms J Žegklitz, P Pošík Genetic programming and evolvable machines 22 (1), 5-33, 2021 | 39 | 2021 |
| Symbolic regression methods for reinforcement learning J Kubalík, E Derner, J Žegklitz, R Babuška IEEE Access 9, 139697-139711, 2021 | 30 | 2021 |
| Innovative default prediction approach J Bemš, O Starý, M Macaš, J Žegklitz, P Pošík Expert Systems with Applications 42 (17-18), 6277-6285, 2015 | 22 | 2015 |
| Model selection and overfitting in genetic programming: Empirical study J Žegklitz, P Pošík Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 14 | 2015 |
| Symbolic regression algorithms with built-in linear regression J Žegklitz, P Pošík arXiv preprint arXiv:1701.03641, 2017 | 12 | 2017 |
| Hybrid single node genetic programming for symbolic regression J Kubalík, E Alibekov, J Žegklitz, R Babuška Transactions on Computational Collective Intelligence XXIV, 61-82, 2016 | 11 | 2016 |
| Linear combinations of features as leaf nodes in symbolic regression J Žegklitz, P Pošík Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 8 | 2017 |
| Symbolic regression in dynamic scenarios with gradually changing targets J Žegklitz, P Pošík Applied Soft Computing 83, 105621, 2019 | 7 | 2019 |
| Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models M Brablc, J Žegklitz, R Grepl, R Babuška Complexity 2021, 1-12, 2021 | 2 | 2021 |
| Symbolic regression by grammar-based multi-gene genetic programming J Žegklitz, P Pošík Proceedings of the companion Publication of the 2015 Annual Conference on …, 2015 | 2 | 2015 |
| Sequential Model Building in Symbolic Regression J Žegklitz, P Pošík | 1 | 2019 |
| Learning Linear Feature Space Transformations in Symbolic Regression J Žegklitz, P Pošík arXiv preprint arXiv:1704.05134, 2017 | 1 | 2017 |
| Vylepšení Algoritmů pro Symbolickou Regresi Založených na Genetickém Programování/Enhancements of Genetic Programming-based Symbolic Regression Algorithms J Žegklitz Czech Technical University, 2021 | | 2021 |
| Vylepšení Algoritmů pro Symbolickou Regresi Založených na Genetickém Programování J Žegklitz PQDT-Global, 2021 | | 2021 |
| Hybridization of Evolutionary Algorithms Using Different Evaluation Approaches J Žegklitz České vysoké učení technické v Praze. Vypočetní a informační centrum., 2013 | | 2013 |
| Aplikace algoritmu NEAT pro zpracování zvukových signálů J Žegklitz České vysoké učení technické v Praze. Vypočetní a informační centrum., 2011 | | 2011 |
| Combining Subtree and Ripple Crossover in Grammatical Evolution J Žegklitz, P Pošík | | |
