Functional Equivalence and Genetic Learning of RBF Networks. - Roman Neruda (ICANNGA, 1995)

Canonical Genetic Learning of RBF Networks Is Faster. - Roman Neruda (ICANNGA, 1997)

Yet Another Genetic Algorithm for Feed-Forward Neural Networks. - Roman Neruda (ICTAI, 1997)

Parallelizing Self-Organizing Maps. - David Strupl; Roman Neruda (SOFSEM, 1997)

Utilizing unique parametrization property in approximate genetic learning of feed-forward networks. - Roman Neruda (IJCNN, 1999)

Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries. - Roman Neruda (IJCNN (1), 2000)

More Autonomous Hybrid Models in Bang. - Roman Neruda; Pavel Krusina; Zuzana Petrová (International Conference on Computational Science (2), 2001)

Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks. - Roman Neruda; Arnost Stedrý; Jitka Drkosová (International Conference on Computational Science (2), 2001)

Agents that Make Hybrid AI Models. - Roman Neruda (ISAS-SCI (1), 2001)

Hybrid Learning of RBF Networks. - Roman Neruda; Petra Kudová (International Conference on Computational Science (3), 2002)

Variants of Learning Algorithm Based on Kolmogorov Theorem. - Roman Neruda; Arnost Stedrý; Jitka Drkosová (International Conference on Computational Science (3), 2002)

Towards building computational agent schemes. - Gerd Beuster; Pavel Krusina; Roman Neruda; Pavel Rydvan (ICANNGA, 2003)

Building Hybrid Soft Computing Agents. - Roman Neruda (Neural Networks and Computational Intelligence, 2003)

Kernel Based Learning Methods: Regularization Networks and RBF Networks. - Petra Kudová; Roman Neruda (Deterministic and Statistical Methods in Machine Learning, 2004)

Bang 3: A Computational Multi-Agent System. - Roman Neruda; Pavel Krusina; Petra Kudová; Pavel Rydvan; Gerd Beuster (IAT, 2004)

Estimating and Measuring Performance of Computational Agents. - Roman Neruda; Pavel Krusina (IAT, 2005)

Learning methods for radial basis function networks. - Roman Neruda; Petra Kudová (Future Gener. Comput. Syst., 2005)

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 Krömer; Václav Snásel; Dusan Húsek; Roman Neruda (IEEE Congress on Evolutionary Computation, 2006)

Cooperation of Computational Intelligence Agents. - Roman Neruda (CTS, 2006)

Faster Learning with Overlapping Neural Assemblies. - Andrei Kursin; Dusan Húsek; Roman Neruda (ICANN (1), 2006)

Emerging Hybrid Computational Models. - Roman Neruda (ICIC (2), 2006)

Description and Generation of Computational Agents. - Roman Neruda; Gerd Beuster (KSEM, 2006)

Evolving neural network which control a robotic agent. - Roman Neruda (IEEE Congress on Evolutionary Computation, 2007)

Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance. - Roman Neruda (IEEE Congress on Evolutionary Computation, 2007)

Variants of Memetic And Hybrid Learning of Perceptron Networks. - Roman Neruda; Stanislav Slusny (DEXA Workshops, 2007)

Towards Extending Service Discovery with Automated Composition Capabilities. - Roman Vaculín; Roman Neruda; Katia P. Sycara (ECOWS, 2008)

Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller. - Roman Neruda; Stanislav Slusny; Petra Vidnerová (GEM, 2008)

Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes. - Roman Neruda (Web Intelligence/IAT Workshops, 2008)

Implementing Boolean Matrix Factorization. - Roman Neruda; Václav Snásel; Jan Platos; Pavel Krömer; Dusan Húsek; Alexander A. Frolov (ICANN (1), 2008)

Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. - Stanislav Slusny; Roman Neruda; Petra Vidnerová (ICANN (1), 2008)

Evolutionary trained radial basis function networks for robot control. - Petra Vidnerová; Stanislav Slusny; Roman Neruda (ICARCV, 2008)

Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms. - Stanislav Slusny; Roman Neruda; Petra Vidnerová (ICIC (2), 2008)

Modeling and Discovery of Data Providing Services. - Roman Vaculín; Huajun Chen; Roman Neruda; Katia P. Sycara (ICWS, 2008)

Testing Error Estimates for Regularization and Radial Function Networks. - Petra Vidnerová; Roman Neruda (ISNN (1), 2008)

Learning algorithms for small mobile robots: case study on maze exploration. - Stanislav Slusny; Roman Neruda; Petra Vidnerová (ITAT, 2008)

Ontology-based and Evolutionary Search for Computational Agents Schemes. - Roman Neruda (SEKE, 2008)

An Agent for Asymmetric Process Mediation in Open Environments. - Roman Vaculín; Roman Neruda; Katia P. Sycara (SOCASE, 2008)

Description, Composition, and Decision Support for Multiagent Computational Systems. - Roman Neruda (ICTAI, 2009)

Localization With a Low-cost Robot. - Stanislav Slusny; Roman Neruda; Petra Vidnerová (ITAT, 2009)

The process mediation framework for semantic web services. - Roman Vaculín; Roman Neruda; Katia P. Sycara (Int. J. Agent Oriented Softw. Eng., 2009)

Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems. - Roman Neruda (Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2009)

Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. - Martin Pilát; Roman Neruda (IEEE Congress on Evolutionary Computation, 2010)

Genetic Algorithm with Species for Regularization Network Metalearning. - Roman Neruda; Petra Vidnerová (IAIT, 2010)

Hybrid Learning of Regularization Neural Networks. - Petra Vidnerová; Roman Neruda (ICAISC (2), 2010)

Real Time Robot Path Planning and Cleaning. - Stanislav Slusny; Michal Zerola; Roman Neruda (ICIC (2), 2010)

Memetic Evolutionary Learning for Local Unit Networks. - Roman Neruda; Petra Vidnerová (ISNN (1), 2010)

Role-based design of computational intelligence multi-agent system. - Roman Neruda; Ondrej Kazík (MEDES, 2010)

Editorial. - Vera Kurková; Roman Neruda; Jan Koutník (Neural Networks, 2010)

Comparison of behavior-based and planning techniques on the small robot maze exploration problem. - Stanislav Slusny; Roman Neruda; Petra Vidnerová (Neural Networks, 2010)

ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. - Martin Pilát; Roman Neruda (IEEE Congress on Evolutionary Computation, 2011)

LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. - Martin Pilát; Roman Neruda (GECCO (Companion), 2011)

Improving many-objective optimizers with aggregate meta-models. - Martin Pilát; Roman Neruda (HIS, 2011)

Meta Learning in Multi-agent Systems for Data Mining. - Ondrej Kazík; Klára Pesková; Martin Pilát; Roman Neruda (IAT, 2011)

Evolving Sum and Composite Kernel Functions for Regularization Networks. - Petra Vidnerová; Roman Neruda (ICANNGA (1), 2011)

Local Meta-models for ASM-MOMA. - Martin Pilát; Roman Neruda (ICIC (3), 2011)

Role Model of Search in Agents' Parameter-Space. - Ondrej Kazík; Roman Neruda (ICMLA (2), 2011)

Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. - Ondrej Kazík; Klára Pesková; Martin Pilát; Roman Neruda (ICMLA (2), 2011)

Local Search Heuristics for Robotic Routing Planner. - Stanislav Slusny; Roman Neruda (ISNN (3), 2011)

Evolutionary Learning of Regularization Networks with Multi-kernel Units. - Petra Vidnerová; Roman Neruda (ISNN (1), 2011)

Modeling data mining processes in computational multi-agent systems. - Roman Neruda; Ondrej Kazík (MEDES, 2011)

Evolutionary learning of regularization networks with product kernel units. - Petra Vidnerová; Roman Neruda (SMC, 2011)

Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems. - Ondrej Kazík; Roman Neruda (ADMI, 2012)

An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. - Stepán Balcar; Martin Pilát; Roman Neruda (IEEE Congress on Evolutionary Computation, 2012)

An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. - Martin Pilát; Roman Neruda (IEEE Congress on Evolutionary Computation, 2012)

A surrogate multiobjective evolutionary strategy with local search and pre-selection. - Martin Pilát; Roman Neruda (GECCO (Companion), 2012)

A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results. - Ondrej Kazík; Klára Pesková; Martin Pilát; Roman Neruda (IAT, 2012)

Evolving Decision Strategies for Computational Intelligence Agents. - Roman Neruda; Martin Slapák (ICIC (2), 2012)

Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. - Ondrej Kazík; Klára Pesková; Martin Pilát; Roman Neruda (ICMLA (2), 2012)

Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. - Martin Pilát; Roman Neruda (ICMLA (1), 2012)

A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. - Martin Pilát; Roman Neruda (ICTAI, 2012)

Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm. - Jan Kohout; Roman Neruda (ISMIS, 2012)

Management of MAS by Means of Automated Reasoning in the Role Model. - Ondrej Kazík; Roman Neruda (Software Agents, Agent Systems and Their Applications, 2012)

Two-Phase Genetic Algorithm for Social Network Graphs Clustering. - Jan Kohout; Roman Neruda (AINA Workshops, 2013)

Surrogate model selection for evolutionary multiobjective optimization. - Martin Pilát; Roman Neruda (IEEE Congress on Evolutionary Computation, 2013)

Multiobjectivization for classifier parameter tuning. - Martin Pilát; Roman Neruda (GECCO (Companion), 2013)

Using Genetic Programming to Estimate Performance of Computational Intelligence Models. - Jakub Smíd; Roman Neruda (ICANNGA, 2013)

Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning. - Martin Pilát; Roman Neruda (ICIC (3), 2013)

Clustering Based Classification in Data Mining Method Recommendation. - Ondrej Kazík; Klára Pesková; Jakub Smíd; Roman Neruda (ICMLA (2), 2013)

Aggregate meta-models for evolutionary multiobjective and many-objective optimization. - Martin Pilát; Roman Neruda (Neurocomputing, 2013)

Data Mining Process Optimization in Computational Multi-agent Systems. - Ondrej Kazík; Roman Neruda (ADMI, 2014)

Generating lambda term individuals in typed genetic programming using forgetful A∗. - Tomás Kren; Roman Neruda (IEEE Congress on Evolutionary Computation, 2014)

The effect of different local search algorithms on the performance of multi-objective optimizers. - Martin Pilát; Roman Neruda (IEEE Congress on Evolutionary Computation, 2014)

Comparing datasets by attribute alignment. - Jakub Smíd; Roman Neruda (CIDM, 2014)

Hybrid Multi-Agent System for Metalearning in Data Mining. - Klára Pesková; Jakub Smíd; Martin Pilát; Ondrej Kazík; Roman Neruda (MetaSel@ECAI, 2014)

Utilization of reductions and abstraction elimination in typed genetic programming. - Tomás Kren; Roman Neruda (GECCO, 2014)

Hypervolume-based local search in multi-objective evolutionary optimization. - Martin Pilát; Roman Neruda (GECCO, 2014)

Multiobjective Genetic Programming of Agent Decision Strategies. - Martin Slapák; Roman Neruda (IBICA, 2014)

Co-evolutionary genetic programming for dataset similarity induction. - Jakub Smíd; Martin Pilát; Klára Pesková; Roman Neruda (CEC, 2015)

Evaluating Go game records for prediction of player attributes. - Josef Moudrík; Petr Baudis; Roman Neruda (CIG, 2015)

Incorporating User Preferences in MOEA/D through the Coevolution of Weights. - Martin Pilát; Roman Neruda (GECCO, 2015)

Product Multi-kernels for Sensor Data Analysis. - Petra Vidnerová; Roman Neruda (ICAISC (1), 2015)

Hypervolume-Based Surrogate Model for MO-CMA-ES. - Martin Pilát; Roman Neruda (ICTAI, 2015)

Generating Workflow Graphs Using Typed Genetic Programming. - Tomás Kren; Martin Pilát; Klára Pesková; Roman Neruda (MetaSel@PKDD/ECML, 2015)

A Dynamic Programming Approach to Individual Initialization in Genetic Programming. - Tomás Kren; Roman Neruda (SMC, 2015)

Evolving Workflow Graphs Using Typed Genetic Programming. - Toma Ken; Martin Pilát; Roman Neruda (SSCI, 2015)

Evolving Non-Linear Stacking Ensembles for Prediction of Go Player Attributes. - Josef Moudrík; Roman Neruda (SSCI, 2015)

Multi-Objective Genetic Programming for Dataset Similarity Induction. - Jakub Smíd; Martin Pilát; Klára Pesková; Roman Neruda (SSCI, 2015)

Sensor Data Air Pollution Prediction by Kernel Models. - Petra Vidnerová; Roman Neruda (CCGrid, 2016)

General tuning of weights in MOEA/D. - Martin Pilát; Roman Neruda (CEC, 2016)

Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. - Martin Pilát; Tomás Kren; Roman Neruda (ICTAI, 2016)

Vulnerability of Machine Learning Models to Adversarial Examples. - Petra Vidnerová; Roman Neruda (ITAT, 2016)

Evolutionary generation of adversarial examples for deep and shallow machine learning models. - Petra Vidnerová; Roman Neruda (MISNC, 2016)

Feature Extraction for Surrogate Models in Genetic Programming. - Martin Pilát; Roman Neruda (PPSN, 2016)

Determining Player Skill in the Game of Go with Deep Neural Networks. - Josef Moudrík; Roman Neruda (TPNC, 2016)

Search Techniques for Automated Proposal of Data Mining Schemes. - Roman Neruda (WEA, 2016)

Evolving KERAS Architectures for Sensor Data Analysis. - Petra Vidnerová; Roman Neruda (FedCSIS, 2017)

Parallel evolutionary algorithm with interleaving generations. - Martin Pilát; Roman Neruda (GECCO, 2017)

Matching subtrees in genetic programming crossover operator. - Martin Slapák; Roman Neruda (ICNC-FSKD, 2017)

Algorithm Discovery with Monte-Carlo Search: Controlling the Size. - Josef Moudrík; Tomás Kren; Roman Neruda (ICTAI, 2017)

Evolution Strategies for Deep Neural Network Models Design. - Petra Vidnerová; Roman Neruda (ITAT, 2017)

Combining top-down and bottom-up approaches for automated discovery of typed programs. - Tomás Kren; Josef Moudrík; Roman Neruda (SSCI, 2017)

Multi-objective evolution of machine learning workflows. - Tomás Kren; Martin Pilát; Roman Neruda (SSCI, 2017)

Unsupervised and Supervised Activity Analysis of Drone Sensor Data. - Roman Neruda; Martin Pilát; Josef Moudrík (WEA, 2017)

Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming. - Tomás Kren; Martin Pilát; Roman Neruda (Int. J. Artif. Intell. Tools, 2017)

Deep Networks with RBF Layers to Prevent Adversarial Examples. - Petra Vidnerová; Roman Neruda (ICAISC (1), 2018)

Asynchronous Evolution of Convolutional Networks. - Petra Vidnerová; Roman Neruda (ITAT, 2018)

Utilization of Genetic Programming to Solve a Simple Task Network Planning Problem. - Lucie Rehakova; Roman Neruda (SMC, 2018)

Hyperparameters Search Methods for Machine Learning Linear Workflows. - Klára Pesková; Roman Neruda (ICMLA, 2019)

On the boundaries of the centroid of a class of fuzzy numbers. - Juan Carlos Figueroa-García; Alvaro David Orjuela-Cañón; Roman Neruda (LA-CCI, 2019)

On the relationship between the centroid and the footprint of uncertainty of Interval Type-2 fuzzy numbers. - Juan Carlos Figueroa-García; Roman Neruda; Yurilev Chalco-Cano; Heriberto Román-Flores (FUZZ-IEEE, 2020)

Multiobjective Evolution for Convolutional Neural Network Architecture Search. - Petra Vidnerová; Stepán Procházka; Roman Neruda (ICAISC (1), 2020)

Multi-objective Evolution for Deep Neural Network Architecture Search. - Petra Vidnerová; Roman Neruda (ICONIP (3), 2020)

Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks. - Stepán Procházka; Roman Neruda (IJCNN, 2020)

Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming. - Gabriela Suchopárová; Roman Neruda (SSCI, 2020)

Vulnerability of classifiers to evolutionary generated adversarial examples. - Petra Vidnerová; Roman Neruda (Neural Networks, 2020)

Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. - Alvaro David Orjuela-Cañón; Juan Carlos Figueroa-García; Roman Neruda (ICMLA, 2021)

Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model. - Petra Vidnerová; Roman Neruda; Gabriela Suchopárová; Ludek Berec; Tomás Diviák; Ales Kubena; René Levínský; Josef Slerka; Martin Smíd; Jan Trnka; Vít Tucek; Karel Vrbenský; et al. (ITAT, 2021)

Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. - Gabriela Suchopárová; Petra Vidnerová; Roman Neruda; Martin Smíd (EANN, 2022)

An Experimental Study on Fuzzy Markov Chains Under Mn Generalized Mean Relation. - Juan Carlos Figueroa García; Roman Neruda; Yurilev Chalco-Cano (NAFIPS, 2022)

An Optimization Model for Location-Allocation of Health Services Under Uncertainty. - Juan Carlos Figueroa-García; Carlos Franco; Roman Neruda (Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022)

On Truncating Fuzzy Numbers with α-Levels. - Juan Carlos Figueroa García; Roman Neruda; Carlos Franco (NAFIPS, 2023)

A genetic algorithm for multivariate missing data imputation. - Juan Carlos Figueroa-García; Roman Neruda; Germán Jairo Hernández-Pérez (Inf. Sci., 2023)

Surprisingly Strong Performance Prediction with Neural Graph Features. - Gabriela Kadlecová; Jovita Lukasik; Martin Pilát; Petra Vidnerová; Mahmoud Safari; Roman Neruda; Frank Hutter (ICML, 2024)

On cosine fuzzy sets and uncertainty quantification. - Juan Carlos Figueroa-García; Roman Neruda; Germán Jairo Hernández-Pérez (Eng. Appl. Artif. Intell., 2024)

Transferrable Surrogates in Expressive Neural Architecture Search Spaces. - Shiwen Qin; Gabriela Kadlecová; Martin Pilát; Shay B. Cohen; Roman Neruda; Elliot J. Crowley; Jovita Lukasik; Linus Ericsson (CoRR, 2025)