| Gaussian Process Surrogate Models for the CMA Evolution Strategy L Bajer, Z Pitra, J Repický, M Holeňa Evolutionary computation, 1-30, 2018 | 57 | 2018 |
| Benchmarking gaussian processes and random forests surrogate models on the BBOB noiseless testbed L Bajer, Z Pitra, M Holeňa Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 53 | 2015 |
| Surrogate model for continuous and discrete genetic optimization based on RBF networks L Bajer, M Holeňa International Conference on Intelligent Data Engineering and Automated …, 2010 | 35 | 2010 |
| Doubly trained evolution control for the surrogate CMA-ES Z Pitra, L Bajer, M Holeňa International Conference on Parallel Problem Solving from Nature, 59-68, 2016 | 29 | 2016 |
| Overview of surrogate-model versions of covariance matrix adaptation evolution strategy Z Pitra, L Bajer, J Repický, M Holeňa GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference …, 2017 | 23 | 2017 |
| Neural networks as surrogate models for measurements in optimization algorithms M Holeňa, D Linke, U Rodemerck, L Bajer International Conference on Analytical and Stochastic Modeling Techniques …, 2010 | 23 | 2010 |
| Using Copulas in Data Mining Based on the Observational Calculus M Holeňa, L Bajer, M Ščavnický IEEE Transactions on Knowledge and Data Engineering 27 (10), 2851-2864, 2015 | 11 | 2015 |
| Surrogate model for mixed-variables evolutionary optimization based on GLM and RBF networks L Bajer, M Holeňa SOFSEM 2013: Theory and Practice of Computer Science, 481-490, 2013 | 10 | 2013 |
| Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES Z Pitra, L Bajer, M Holena ITAT 2015: Information Technologies - Applications and Theory, 2015 | 9 | 2015 |
| Surrogate modeling in the evolutionary optimization of catalytic materials M Holena, D Linke, L Bajer Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 7 | 2012 |
| Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy Z Pitra, L Bajer, J Repický, M Holeňa GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference …, 2017 | 6 | 2017 |
| Gnn-based malicious network entities identification in large-scale network data S Dvorak, P Prochazka, L Bajer NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-4, 2022 | 5 | 2022 |
| Model-based evolutionary optimization methods L Bajer Univerzita Karlova, Matematicko-fyzikální fakulta, 2018 | 5 | 2018 |
| Model guided sampling optimization with gaussian processes for expensive black-box optimization L Bajer, V Charypar, M Holeňa Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 5 | 2013 |
| Investigation of Gaussian processes and random forests as surrogate models for evolutionary black-box optimization L Bajer, Z Pitra, M Holeňa Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 4 | 2015 |
| Comparing rule mining approaches for classification with reasoning M Kopp, L Bajer, M Jílek, M Holena | 4* | |
| Case study: constraint handling in evolutionary optimization of catalytic materials M Holeňa, D Linke, L Bajer Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 3 | 2011 |
| Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models MH Jakub Repický, Lukáš Bajer, Zbyněk Pitra Proceedings of the 17th ITAT Conference, Martin, September 22--26, 2017, 136 …, 2017 | 2* | 2017 |
| Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy Z Pitra, L Bajer, J Repický, M Holena ITAT 2017: Information Technologies - Applications and Theory, 2017 | 2 | 2017 |
| Model Guided Sampling Optimization for Low-dimensional Problems L Bajer, M Holena ICAART 2015 International Conference on Agents and Artificial Intelligence 2 …, 2015 | 1 | 2015 |
Martin HolenaVerified email at cs.cas.cz
