| 2026 | GECCO | Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning. | Matys Lorenc, Roman Neruda |
| 2025 | ICTAI | Utilizing Novelty-Based Evolution Strategies to Train Transformers in Reinforcement Learning. | Matys Lorenc, Roman Neruda |
| 2024 | ICML | Surprisingly Strong Performance Prediction with Neural Graph Features. | Gabriela Kadlecov, Jovita Lukasik, Martin Pilt, Petra Vidnerov, Mahmoud Safari, Roman Neruda, Frank Hutter |
| 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 |
| 2021 | ICMLA | Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. | Alvaro David Orjuela-Can, Juan Carlos Figueroa-Garca, Roman Neruda |
| 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 |
| 2020 | IJCNN | Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks. | Stepn Prochzka, Roman Neruda |
| 2019 | ICMLA | Hyperparameters Search Methods for Machine Learning Linear Workflows. | Klra Peskov, Roman Neruda |
| 2018 | ICAISC | Deep Networks with RBF Layers to Prevent Adversarial Examples. | Petra Vidnerov, Roman Neruda |
| 2018 | SMC | Utilization of Genetic Programming to Solve a Simple Task Network Planning Problem. | Lucie Rehakova, Roman Neruda |
| 2017 | FedCSIS | Evolving KERAS Architectures for Sensor Data Analysis. | Petra Vidnerov, Roman Neruda |
| 2017 | GECCO | Parallel evolutionary algorithm with interleaving generations. | Martin Pilt, Roman Neruda |
| 2017 | ICNC | Matching subtrees in genetic programming crossover operator. | Martin Slapk, Roman Neruda |
| 2017 | ICTAI | Algorithm Discovery with Monte-Carlo Search: Controlling the Size. | Josef Moudrk, Toms Kren, Roman Neruda |
| 2016 | CCGRID | Sensor Data Air Pollution Prediction by Kernel Models. | Petra Vidnerov, Roman Neruda |
| 2016 | CEC | General tuning of weights in MOEA/D. | Martin Pilt, Roman Neruda |
| 2016 | ICTAI | Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. | Martin Pilt, Toms Kren, Roman Neruda |
| 2016 | PPSN | Feature Extraction for Surrogate Models in Genetic Programming. | Martin Pilt, Roman Neruda |
| 2015 | CEC | Co-evolutionary genetic programming for dataset similarity induction. | Jakub Smd, Martin Pilt, Klra Peskov, Roman Neruda |
| 2015 | GECCO | Incorporating User Preferences in MOEA/D through the Coevolution of Weights. | Martin Pilt, Roman Neruda |
| 2015 | ICAISC | Product Multi-kernels for Sensor Data Analysis. | Petra Vidnerov, Roman Neruda |
| 2015 | ICTAI | Hypervolume-Based Surrogate Model for MO-CMA-ES. | Martin Pilt, Roman Neruda |
| 2015 | SMC | A Dynamic Programming Approach to Individual Initialization in Genetic Programming. | Toms Kren, Roman Neruda |
| 2014 | CEC | Generating lambda term individuals in typed genetic programming using forgetful A∗. | Toms Kren, Roman Neruda |
| 2014 | CEC | The effect of different local search algorithms on the performance of multi-objective optimizers. | Martin Pilt, Roman Neruda |
| 2014 | CIDM | Comparing datasets by attribute alignment. | Jakub Smd, Roman Neruda |
| 2014 | ECAI | Hybrid Multi-Agent System for Metalearning in Data Mining. | Klra Peskov, Jakub Smd, Martin Pilt, Ondrej Kazk, Roman Neruda |
| 2014 | GECCO | Utilization of reductions and abstraction elimination in typed genetic programming. | Toms Kren, Roman Neruda |
| 2014 | GECCO | Hypervolume-based local search in multi-objective evolutionary optimization. | Martin Pilt, Roman Neruda |
| 2013 | AINA | Two-Phase Genetic Algorithm for Social Network Graphs Clustering. | Jan Kohout, Roman Neruda |
| 2013 | CEC | Surrogate model selection for evolutionary multiobjective optimization. | Martin Pilt, Roman Neruda |
| 2013 | GECCO | Multiobjectivization for classifier parameter tuning. | Martin Pilt, Roman Neruda |
| 2013 | ICMLA | Clustering Based Classification in Data Mining Method Recommendation. | Ondrej Kazk, Klra Peskov, Jakub Smd, Roman Neruda |
| 2012 | CEC | An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. | Stepn Balcar, Martin Pilt, Roman Neruda |
| 2012 | CEC | An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. | Martin Pilt, Roman Neruda |
| 2012 | GECCO | A surrogate multiobjective evolutionary strategy with local search and pre-selection. | Martin Pilt, Roman Neruda |
| 2012 | ICMLA | Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. | Ondrej Kazk, Klra Peskov, Martin Pilt, Roman Neruda |
| 2012 | ICMLA | Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. | Martin Pilt, Roman Neruda |
| 2012 | ICTAI | A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. | Martin Pilt, Roman Neruda |
| 2012 | ISMIS | Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm. | Jan Kohout, Roman Neruda |
| 2011 | CEC | ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. | Martin Pilt, Roman Neruda |
| 2011 | GECCO | LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. | Martin Pilt, Roman Neruda |
| 2011 | HIS | Improving many-objective optimizers with aggregate meta-models. | Martin Pilt, Roman Neruda |
| 2011 | ICMLA | Role Model of Search in Agents' Parameter-Space. | Ondrej Kazk, Roman Neruda |
| 2011 | ICMLA | Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. | Ondrej Kazk, Klra Peskov, Martin Pilt, Roman Neruda |
| 2011 | ISNN | Local Search Heuristics for Robotic Routing Planner. | Stanislav Slusny, Roman Neruda |
| 2011 | ISNN | Evolutionary Learning of Regularization Networks with Multi-kernel Units. | Petra Vidnerov, Roman Neruda |
| 2011 | MEDES | Modeling data mining processes in computational multi-agent systems. | Roman Neruda, Ondrej Kazk |
| 2011 | SMC | Evolutionary learning of regularization networks with product kernel units. | Petra Vidnerov, Roman Neruda |
| 2010 | CEC | Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. | Martin Pilt, 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 |
| 2010 | MEDES | Role-based design of computational intelligence multi-agent system. | Roman Neruda, Ondrej Kazk |
| 2009 | ICTAI | Description, Composition, and Decision Support for Multiagent Computational Systems. | Roman Neruda |
| 2008 | ICANN | Implementing Boolean Matrix Factorization. | Roman Neruda, Vclav Snsel, Jan Platos, Pavel Krmer, Dusan Hsek, Alexander A. Frolov |
| 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 | ICWS | Modeling and Discovery of Data Providing Services. | Roman Vaculn, Huajun Chen, Roman Neruda, Katia P. Sycara |
| 2008 | ISNN | Testing Error Estimates for Regularization and Radial Function Networks. | Petra Vidnerov, Roman Neruda |
| 2008 | SEKE | Ontology-based and Evolutionary Search for Computational Agents Schemes. | Roman Neruda |
| 2007 | CEC | Evolving neural network which control a robotic agent. | Roman Neruda |
| 2007 | CEC | Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance. | Roman Neruda |
| 2006 | CEC | Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles. | Suhail S. J. Owais, Pavel Krmer, Vclav Snsel, Dusan Hsek, Roman Neruda |
| 2006 | ICANN | Faster Learning with Overlapping Neural Assemblies. | Andrei Kursin, Dusan Hsek, Roman Neruda |
| 2006 | KSEM | Description and Generation of Computational Agents. | Roman Neruda, Gerd Beuster |
| 2002 | ICCS | Hybrid Learning of RBF Networks. | Roman Neruda, Petra Kudov |
| 2002 | ICCS | Variants of Learning Algorithm Based on Kolmogorov Theorem. | Roman Neruda, Arnost Stedr, Jitka Drkosov |
| 2001 | ICCS | More Autonomous Hybrid Models in Bang. | Roman Neruda, Pavel Krusina, Zuzana Petrov |
| 2001 | ICCS | Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks. | Roman Neruda, Arnost Stedr, Jitka Drkosov |
| 2000 | IJCNN | Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries. | Roman Neruda |
| 1999 | IJCNN | Utilizing unique parametrization property in approximate genetic learning of feed-forward networks. | Roman Neruda |
| 1997 | ICTAI | Yet Another Genetic Algorithm for Feed-Forward Neural Networks. | Roman Neruda |
| 1997 | SOFSEM | Parallelizing Self-Organizing Maps. | David Strupl, Roman Neruda |