| Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy Z Pitra, M Hanuš, J Koza, J Tumpach, M Holeňa Proceedings of the Genetic and Evolutionary Computation Conference, 528-536, 2021 | 10 | 2021 |
| Using past experience for configuration of Gaussian processes in black-box optimization J Koza, J Tumpach, Z Pitra, M Holeňa International Conference on Learning and Intelligent Optimization, 167-182, 2021 | 4 | 2021 |
| Combining Gaussian Processes with Neural Networks for Active Learning in Optimization J Ruzicka, J Koza, J Tumpach, Z Pitra, M Holena Workshop on Interactive Adaptive Learning, 105, 2021 | 2 | 2021 |
| A Comparison of Regularization Techniques for Shallow Neural Networks Trained on Small Datasets J Tumpach, J Kalina, M Holena | 2 | 2021 |
| Combining Gaussian Processes and Neural Networks in Surrogate Modeling for Covariance Matrix Adaptation Evolution Strategy J Koza, J Tumpach, Z Pitra, M Holena | 1 | 2021 |
| Deep Networks in Online Malware Detection. J Tumpach, M Krcál, M Holena ITAT, 90-98, 2019 | 1 | 2019 |
| Video Scene Location Recognition with Neural Networks L Korel, P Pulc, J Tumpach, M Holena | | 2021 |
| Online Malware Detection with Variational Autoencoders. J Tumpach, M Holena ITAT, 122-129, 2020 | | 2020 |
