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Jirí Kubalík
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2020 – today
- 2024
- [j14]Martin Vastl, Jonas Kulhanek, Jirí Kubalík, Erik Derner, Robert Babuska:
SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture. IEEE Access 12: 37840-37849 (2024) - 2023
- [j13]Jirí Kubalík, Erik Derner, Robert Babuska:
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access 11: 61481-61501 (2023) - [i6]Jirí Kubalík, Erik Derner, Robert Babuska:
Neural Networks for Symbolic Regression. CoRR abs/2302.00773 (2023) - 2022
- [i5]Martin Vastl, Jonas Kulhanek, Jirí Kubalík, Erik Derner, Robert Babuska:
SymFormer: End-to-end symbolic regression using transformer-based architecture. CoRR abs/2205.15764 (2022) - 2021
- [j12]Erik Derner, Jirí Kubalík, Robert Babuska:
Selecting Informative Data Samples for Model Learning Through Symbolic Regression. IEEE Access 9: 14148-14158 (2021) - [j11]Jirí Kubalík, Erik Derner, Jan Zegklitz, Robert Babuska:
Symbolic Regression Methods for Reinforcement Learning. IEEE Access 9: 139697-139711 (2021) - [j10]Jirí Kubalík, Erik Derner, Robert Babuska:
Multi-objective symbolic regression for physics-aware dynamic modeling. Expert Syst. Appl. 182: 115210 (2021) - [c42]Erik Derner, Jirí Kubalík, Robert Babuska:
Guiding Robot Model Construction with Prior Features. IROS 2021: 7112-7118 - 2020
- [j9]Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska:
Constructing parsimonious analytic models for dynamic systems via symbolic regression. Appl. Soft Comput. 94: 106432 (2020) - [c41]Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic regression driven by training data and prior knowledge. GECCO 2020: 958-966 - [i4]Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic Regression Driven by Training Data and Prior Knowledge. CoRR abs/2004.11947 (2020) - [i3]Miroslav Kulich, Jirí Kubalík, Libor Preucil:
An Integrated Approach to Goal Selection in Mobile Robot Exploration. CoRR abs/2007.10085 (2020)
2010 – 2019
- 2019
- [j8]Miroslav Kulich, Jirí Kubalík, Libor Preucil:
An Integrated Approach to Goal Selection in Mobile Robot Exploration. Sensors 19(6): 1400 (2019) - [c40]Jirí Kubalík, Petr Kadera, Václav Jirkovský, Lukás Kurilla, Simon Prokop:
Plant Layout Optimization Using Evolutionary Algorithms. HoloMAS 2019: 173-188 - [i2]Jirí Kubalík, Jan Zegklitz, Erik Derner, Robert Babuska:
Symbolic Regression Methods for Reinforcement Learning. CoRR abs/1903.09688 (2019) - [i1]Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska:
Symbolic Regression for Constructing Analytic Models in Reinforcement Learning. CoRR abs/1903.11483 (2019) - 2018
- [j7]Eduard Alibekov, Jirí Kubalík, Robert Babuska:
Policy derivation methods for critic-only reinforcement learning in continuous spaces. Eng. Appl. Artif. Intell. 69: 178-187 (2018) - [c39]Erik Derner, Jirí Kubalík, Robert Babuska:
Data-driven Construction of Symbolic Process Models for Reinforcement Learning. ICRA 2018: 1-8 - [c38]Erik Derner, Jirí Kubalík, Robert Babuska:
Reinforcement Learning with Symbolic Input-Output Models. IROS 2018: 3004-3009 - 2017
- [c37]Jirí Kubalík, Erik Derner, Robert Babuska:
Enhanced Symbolic Regression Through Local Variable Transformations. IJCCI 2017: 91-100 - 2016
- [j6]Jirí Kubalík, Eduard Alibekov, Jan Zegklitz, Robert Babuska:
Hybrid Single Node Genetic Programming for Symbolic Regression. Trans. Comput. Collect. Intell. 24: 61-82 (2016) - [c36]Eduard Alibekov, Jirí Kubalík, Robert Babuska:
Symbolic method for deriving policy in reinforcement learning. CDC 2016: 2789-2795 - 2015
- [c35]Frantisek Hruska, Jirí Kubalík:
Selection Hyper-Heuristic Using a Portfolio of Derivative Heuristics. GECCO (Companion) 2015: 1401-1402 - [c34]Jirí Kubalík, Robert Babuska:
An Improved Single Node Genetic Programming for Symbolic Regression. IJCCI (ECTA) 2015: 244-251 - 2014
- [c33]Jirí Kubalík, Michal Snizek:
A novel evolutionary algorithm with indirect representation and extended nearest neighbor constructive procedure for solving routing problems. ISDA 2014: 156-161 - [c32]Jirí Kubalík, Jaroslav Pokorný, Martin Víta, Peter Vojtás:
Generic Private Social Network for Knowledge Management. WISE Workshops 2014: 27-41 - 2013
- [c31]Ján Cerný, Jirí Kubalík:
Co-evolutionary Approach to Design of Robotic Gait. EvoApplications 2013: 550-559 - [c30]Jaromír Mlejnek, Jirí Kubalík:
Evolutionary hyperheuristic for capacitated vehicle routing problem. GECCO (Companion) 2013: 219-220 - [c29]Ján Cerný, Jirí Kubalík:
Analysis of Co-evolutionary Approach for Robotic Gait Generation. IJCCI 2013: 37-46 - 2012
- [j5]Petr Posík, Jirí Kubalík:
Experimental Comparison of Six Population-Based Algorithms for Continuous Black Box Optimization. Evol. Comput. 20(4): 483-508 (2012) - [c28]Kamil Matousek, Jirí Kubalík, Martin Necaský, Peter Vojtás:
Exploiting Potential of the Professional Social Network Portal "SitIT". ADBIS Workshops 2012: 295-304 - [c27]Michal Kopecky, Jaroslav Pokorný, Peter Vojtás, Jirí Kubalík, Kamil Matousek, Milos Maryska, Ota Novotný, Ladislav Peska:
Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC 2012: 127-141 - [c26]Jirí Kubalík:
Hyper-Heuristic Based on Iterated Local Search Driven by Evolutionary Algorithm. EvoCOP 2012: 148-159 - 2011
- [j4]Petr Buryan, Jirí Kubalík:
Context-sensitive refinements for stochastic optimisation algorithms in inductive logic programming. Artif. Intell. Rev. 35(1): 19-36 (2011) - [j3]Thomas Kremmel, Jirí Kubalík, Stefan Biffl:
Software project portfolio optimization with advanced multiobjective evolutionary algorithms. Appl. Soft Comput. 11(1): 1416-1426 (2011) - [c25]Peter Vojtás, Jaroslav Pokorný, Martin Necaský, Tomás Skopal, Kamil Matousek, Jirí Kubalík, Ota Novotný, Milos Maryska:
SoSIReČR - IT professional social network. CASoN 2011: 108-113 - [c24]Jirí Kubalík:
Evolutionary-based iterative local search algorithm for the shortest common supersequence problem. GECCO 2011: 315-322 - 2010
- [j2]Jirí Kubalík, Pavel Tichý, Radek Sindelár, Raymond J. Staron:
Clustering Methods for Agent Distribution Optimization. IEEE Trans. Syst. Man Cybern. Part C 40(1): 78-86 (2010) - [c23]Jirí Kubalík, Petr Buryan, Libor Wagner:
Solving the DNA fragment assembly problem efficiently using iterative optimization with evolved hypermutations. GECCO 2010: 213-214 - [c22]Jirí Kubalík:
Efficient stochastic local search algorithm for solving the shortest common supersequence problem. GECCO 2010: 249-256 - [c21]Petr Buryan, Jirí Kubalík:
Context-sensitive refinements for stochasticoptimization algorithms in inductive logic programming. GECCO 2010: 1071-1072 - [c20]Thomas Kremmel, Jirí Kubalík, Stefan Biffl:
Multiobjective evolutionary algorithm for software project portfolio optimization. GECCO 2010: 1389-1390 - [c19]Jirí Kubalík:
Black-box optimization benchmarking of two variants of the POEMS algorithm on the noiseless testbed. GECCO (Companion) 2010: 1567-1574 - [c18]Petr Posík, Jirí Kubalík:
Comparison of cauchy EDA and pPOEMS algorithms on the BBOB noiseless testbed. GECCO (Companion) 2010: 1703-1710
2000 – 2009
- 2009
- [c17]Jirí Kubalík:
Solving the sorting network problem using iterative optimization with evolved hypermutations. GECCO 2009: 301-308 - [c16]Jirí Kubalík:
Black-box optimization benchmarking of prototype optimization with evolved improvement steps for noiseless function testbed. GECCO (Companion) 2009: 2303-2308 - [c15]Jirí Kubalík:
Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps. ICANNGA 2009: 183-192 - [c14]Petr Buryan, Jirí Kubalík, Katsumi Inoue:
Grammatical Concept Representation for Randomised Optimisation Algorithms in Relational Learning. ISDA 2009: 1450-1455 - 2008
- [c13]Jirí Kubalík, Richard Mordinyi, Stefan Biffl:
Multiobjective Prototype Optimization with Evolved Improvement Steps. EvoCOP 2008: 218-229 - 2007
- [c12]Jirí Kubalík, Richard Mordinyi:
Optimizing Events Traffic in Event-based Systems by means of Evolutionary Algorithms. ARES 2007: 1101-1107 - 2006
- [c11]Jirí Kubalík:
Real-Parameter Optimization by Iterative Prototype Optimization with Evolved Improvement Steps. IEEE Congress on Evolutionary Computation 2006: 1932-1938 - [c10]Jirí Kubalík, Jan Faigl:
Iterative Prototype Optimisation with Evolved Improvement Steps. EuroGP 2006: 154-165 - [c9]Jirí Kubalík, Petr Posík, Jan Herold:
A Selecto-recombinative Genetic Algorithm with Continuous Chromosome Reconfiguration. PPSN 2006: 959-968 - 2005
- [j1]Jirí Kléma, Jirí Kubalík, Lenka Lhotská:
Optimized model tuning in medical systems. Comput. Methods Programs Biomed. 80(Supplement-1): S17-S28 (2005) - [c8]Jan Suchý, Jirí Kubalík:
Inducing Diverse Decision Forests with Genetic Programing. EuroGP 2005: 301-310 - 2004
- [c7]Jirí Kubalík, Jirí Kléma, Miroslav Kulich:
Application of Soft Computing Techniques to Rescue Operation Planning. ICAISC 2004: 897-902 - [c6]Milan Rollo, Petr Novák, Jirí Kubalík, Michal Pechoucek:
Alarm Root Cause Detection System. BASYS 2004: 109-116 - [c5]Jirí Kubalík, Marcel Jirina, Oldrich Starý, Lenka Lhotská, Jan Suchý:
Application of Soft Computing Techniques to Classification of Licensed Subjects. BASYS 2004: 481-488 - 2003
- [c4]Jirí Kubalík, Jan Koutník, Léon J. M. Rothkrantz:
Grammatical Evolution with Bidirectional Representation. EuroGP 2003: 354-363 - 2002
- [c3]Jirí Kléma, Jirí Kubalík, Jiri Palous:
Optimized Model Tuning in Medical Systems. CBMS 2002: 59-64 - [c2]Jirí Kubalík, Jirí Lazanský, Petr Zikl:
Layout Problem Optimization Using Genetic Algorithms. BASYS 2002: 493-500 - [c1]Jirí Kubalík, Léon J. M. Rothkrantz, Jirí Lazanský:
Genetic Algorithm with Limited Convergence. JCIS 2002: 610-613
Coauthor Index
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last updated on 2024-05-10 00:41 CEST by the dblp team
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