| 2025 | ICONIP | Cross-Entropy Loss of Approximated Deep Neural Networks. | Jir Sma, Petra Vidnerov |
| 2024 | ICML | Surprisingly Strong Performance Prediction with Neural Graph Features. | Gabriela Kadlecov, Jovita Lukasik, Martin Pilt, Petra Vidnerov, Mahmoud Safari, Roman Neruda, Frank Hutter |
| 2023 | ICANN | Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients. | Jan Kalina, Petra Vidnerov |
| 2023 | ICANN | Energy Complexity Model for Convolutional Neural Networks. | Jir Sma, Petra Vidnerov, Vojtech Mrazek |
| 2022 | EANN | Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. | Gabriela Suchoprov, Petra Vidnerov, Roman Neruda, Martin Smd |
| 2022 | ICAISC | Multi-objective Bayesian Optimization for Neural Architecture Search. | Petra Vidnerov, Jan Kalina |
| 2022 | IJCNN | Sparse Versions of Optimized Centroids. | Jan Kalina, Petra Vidnerov, Patrik Jancek |
| 2021 | ICAISC | A Comparison of Trend Estimators Under Heteroscedasticity. | Jan Kalina, Petra Vidnerov, Jan Tichavsk |
| 2020 | EANN | A Metalearning Study for Robust Nonlinear Regression. | Jan Kalina, Petra Vidnerov |
| 2020 | EANN | Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives. | Jan Kalina, Petra Vidnerov |
| 2020 | ICAISC | Multiobjective Evolution for Convolutional Neural Network Architecture Search. | Petra Vidnerov, Stepn Prochzka, Roman Neruda |
| 2020 | ICONIP | Multi-objective Evolution for Deep Neural Network Architecture Search. | Petra Vidnerov, Roman Neruda |
| 2019 | ICAISC | Robust Training of Radial Basis Function Neural Networks. | Jan Kalina, Petra Vidnerov |
| 2018 | ICAISC | Deep Networks with RBF Layers to Prevent Adversarial Examples. | Petra Vidnerov, Roman Neruda |
| 2017 | FedCSIS | Evolving KERAS Architectures for Sensor Data Analysis. | Petra Vidnerov, Roman Neruda |
| 2016 | CCGRID | Sensor Data Air Pollution Prediction by Kernel Models. | Petra Vidnerov, Roman Neruda |
| 2015 | ICAISC | Product Multi-kernels for Sensor Data Analysis. | Petra Vidnerov, Roman Neruda |
| 2011 | ISNN | Evolutionary Learning of Regularization Networks with Multi-kernel Units. | Petra Vidnerov, Roman Neruda |
| 2011 | SMC | Evolutionary learning of regularization networks with product kernel units. | Petra Vidnerov, Roman Neruda |
| 2010 | ICAISC | Hybrid Learning of Regularization Neural Networks. | Petra Vidnerov, Roman Neruda |
| 2010 | ISNN | Memetic Evolutionary Learning for Local Unit Networks. | Roman Neruda, Petra Vidnerov |
| 2008 | ICANN | Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. | Stanislav Slusny, Roman Neruda, Petra Vidnerov |
| 2008 | ICARCV | Evolutionary trained radial basis function networks for robot control. | Petra Vidnerov, Stanislav Slusny, Roman Neruda |
| 2008 | ISNN | Testing Error Estimates for Regularization and Radial Function Networks. | Petra Vidnerov, Roman Neruda |