Roman Neruda

According to our database, Roman Neruda authored at least 132 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

A genetic algorithm for multivariate missing data imputation.

Juan Carlos Figueroa-García, Roman Neruda, Germán Jairo Hernández-Pérez

Inf. Sci., 2023

On Truncating Fuzzy Numbers with α-Levels.

Juan Carlos Figueroa García, Roman Neruda, Carlos Franco

Proceedings of the Fuzzy Information Processing 2023, 2023

2022

An Optimization Model for Location-Allocation of Health Services Under Uncertainty.

Juan Carlos Figueroa-García, Carlos Franco, Roman Neruda

Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022

An Experimental Study on Fuzzy Markov Chains Under M_n Generalized Mean Relation.

Juan Carlos Figueroa García, Roman Neruda, Yurilev Chalco-Cano

Proceedings of the Applications of Fuzzy Techniques, 2022

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

Proceedings of the Engineering Applications of Neural Networks, 2022

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, Milan Zajícek

Proceedings of the 21st Conference Information Technologies, 2021

Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations.

Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Roman Neruda

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Vulnerability of classifiers to evolutionary generated adversarial examples.

Petra Vidnerová, Roman Neruda

Neural Networks, 2020

Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming.

Gabriela Suchopárová, Roman Neruda

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks.

Stepán Procházka, Roman Neruda

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-objective Evolution for Deep Neural Network Architecture Search.

Petra Vidnerová, Roman Neruda

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multiobjective Evolution for Convolutional Neural Network Architecture Search.

Petra Vidnerová, Stepán Procházka, Roman Neruda

Proceedings of the Artificial Intelligence and Soft Computing, 2020

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

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

On the boundaries of the centroid of a class of fuzzy numbers.

Juan Carlos Figueroa-García, Alvaro David Orjuela-Cañón, Roman Neruda

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Hyperparameters Search Methods for Machine Learning Linear Workflows.

Klára Pesková, Roman Neruda

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Utilization of Genetic Programming to Solve a Simple Task Network Planning Problem.

Lucie Rehakova, Roman Neruda

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Asynchronous Evolution of Convolutional Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the 18th Conference Information Technologies, 2018

Deep Networks with RBF Layers to Prevent Adversarial Examples.

Petra Vidnerová, Roman Neruda

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming.

Tomás Kren, Martin Pilát, Roman Neruda

Int. J. Artif. Intell. Tools, 2017

Unsupervised and Supervised Activity Analysis of Drone Sensor Data.

Roman Neruda, Martin Pilát, Josef Moudrík

Proceedings of the Applied Computer Sciences in Engineering, 2017

Multi-objective evolution of machine learning workflows.

Tomás Kren, Martin Pilát, Roman Neruda

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Combining top-down and bottom-up approaches for automated discovery of typed programs.

Tomás Kren, Josef Moudrík, Roman Neruda

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Evolution Strategies for Deep Neural Network Models Design.

Petra Vidnerová, Roman Neruda

Proceedings of the 17th Conference on Information Technologies, 2017

Algorithm Discovery with Monte-Carlo Search: Controlling the Size.

Josef Moudrík, Tomás Kren, Roman Neruda

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Matching subtrees in genetic programming crossover operator.

Martin Slapák, Roman Neruda

Proceedings of the 13th International Conference on Natural Computation, 2017

Parallel evolutionary algorithm with interleaving generations.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolving KERAS Architectures for Sensor Data Analysis.

Petra Vidnerová, Roman Neruda

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Search Techniques for Automated Proposal of Data Mining Schemes.

Roman Neruda

Proceedings of the Applied Computer Sciences in Engineering, 2016

Determining Player Skill in the Game of Go with Deep Neural Networks.

Josef Moudrík, Roman Neruda

Proceedings of the Theory and Practice of Natural Computing - 5th International Conference, 2016

Feature Extraction for Surrogate Models in Genetic Programming.

Martin Pilát, Roman Neruda

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Evolutionary generation of adversarial examples for deep and shallow machine learning models.

Petra Vidnerová, Roman Neruda

Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

Vulnerability of Machine Learning Models to Adversarial Examples.

Petra Vidnerová, Roman Neruda

Proceedings of the 16th ITAT Conference Information Technologies, 2016

Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming.

Martin Pilát, Tomás Kren, Roman Neruda

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

General tuning of weights in MOEA/D.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Sensor Data Air Pollution Prediction by Kernel Models.

Petra Vidnerová, Roman Neruda

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015

Multi-Objective Genetic Programming for Dataset Similarity Induction.

Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Evolving Non-Linear Stacking Ensembles for Prediction of Go Player Attributes.

Josef Moudrík, Roman Neruda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Evolving Workflow Graphs Using Typed Genetic Programming.

Toma Ken, Martin Pilát, Roman Neruda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A Dynamic Programming Approach to Individual Initialization in Genetic Programming.

Tomás Kren, Roman Neruda

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Generating Workflow Graphs Using Typed Genetic Programming.

Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Hypervolume-Based Surrogate Model for MO-CMA-ES.

Martin Pilát, Roman Neruda

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Product Multi-kernels for Sensor Data Analysis.

Petra Vidnerová, Roman Neruda

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Incorporating User Preferences in MOEA/D through the Coevolution of Weights.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evaluating Go game records for prediction of player attributes.

Josef Moudrík, Petr Baudis, Roman Neruda

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Co-evolutionary genetic programming for dataset similarity induction.

Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Multiobjective Genetic Programming of Agent Decision Strategies.

Martin Slapák, Roman Neruda

Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Hypervolume-based local search in multi-objective evolutionary optimization.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Utilization of reductions and abstraction elimination in typed genetic programming.

Tomás Kren, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Hybrid Multi-Agent System for Metalearning in Data Mining.

Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Comparing datasets by attribute alignment.

Jakub Smíd, Roman Neruda

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

The effect of different local search algorithms on the performance of multi-objective optimizers.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Generating lambda term individuals in typed genetic programming using forgetful A∗.

Tomás Kren, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Data Mining Process Optimization in Computational Multi-agent Systems.

Ondrej Kazík, Roman Neruda

Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014

2013

Aggregate meta-models for evolutionary multiobjective and many-objective optimization.

Martin Pilát, Roman Neruda

Neurocomputing, 2013

Clustering Based Classification in Data Mining Method Recommendation.

Ondrej Kazík, Klára Pesková, Jakub Smíd, Roman Neruda

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning.

Martin Pilát, Roman Neruda

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Using Genetic Programming to Estimate Performance of Computational Intelligence Models.

Jakub Smíd, Roman Neruda

Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Multiobjectivization for classifier parameter tuning.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Surrogate model selection for evolutionary multiobjective optimization.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Two-Phase Genetic Algorithm for Social Network Graphs Clustering.

Jan Kohout, Roman Neruda

Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012

Management of MAS by Means of Automated Reasoning in the Role Model.

Ondrej Kazík, Roman Neruda

Proceedings of the Software Agents, Agent Systems and Their Applications, 2012

Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm.

Jan Kohout, Roman Neruda

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection.

Martin Pilát, Roman Neruda

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms.

Martin Pilát, Roman Neruda

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Evolving Decision Strategies for Computational Intelligence Agents.

Roman Neruda, Martin Slapák

Proceedings of the Intelligent Computing Theories and Applications, 2012

A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

A surrogate multiobjective evolutionary strategy with local search and pre-selection.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An evolutionary algorithm for 2D semi-guillotinable circular saw cutting.

Stepán Balcar, Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems.

Ondrej Kazík, Roman Neruda

Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

2011

Evolutionary learning of regularization networks with product kernel units.

Petra Vidnerová, Roman Neruda

Proceedings of the IEEE International Conference on Systems, 2011

Modeling data mining processes in computational multi-agent systems.

Roman Neruda, Ondrej Kazík

Proceedings of the MEDES '11: International ACM Conference on Management of Emergent Digital EcoSystems, 2011

Evolutionary Learning of Regularization Networks with Multi-kernel Units.

Petra Vidnerová, Roman Neruda

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Local Search Heuristics for Robotic Routing Planner.

Stanislav Slusny, Roman Neruda

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Role Model of Search in Agents' Parameter-Space.

Ondrej Kazík, Roman Neruda

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Local Meta-models for ASM-MOMA.

Martin Pilát, Roman Neruda

Proceedings of the Bio-Inspired Computing and Applications, 2011

Evolving Sum and Composite Kernel Functions for Regularization Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Meta Learning in Multi-agent Systems for Data Mining.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Improving many-objective optimizers with aggregate meta-models.

Martin Pilát, Roman Neruda

Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model.

Martin Pilát, Roman Neruda

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Comparison of behavior-based and planning techniques on the small robot maze exploration problem.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Neural Networks, 2010

Editorial.

Vera Kurková, Roman Neruda, Jan Koutník

Neural Networks, 2010

Role-based design of computational intelligence multi-agent system.

Roman Neruda, Ondrej Kazík

Proceedings of the MEDES '10: International ACM Conference on Management of Emergent Digital EcoSystems, 2010

Memetic Evolutionary Learning for Local Unit Networks.

Roman Neruda, Petra Vidnerová

Proceedings of the Advances in Neural Networks, 2010

Real Time Robot Path Planning and Cleaning.

Stanislav Slusny, Michal Zerola, Roman Neruda

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

Hybrid Learning of Regularization Neural Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the Artifical Intelligence and Soft Computing, 2010

Genetic Algorithm with Species for Regularization Network Metalearning.

Roman Neruda, Petra Vidnerová

Proceedings of the Advances in Information Technology - 4th International Conference, 2010

Combining multiobjective and single-objective genetic algorithms in heterogeneous island model.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems.

Roman Neruda

Proceedings of the Software Engineering, 2009

The process mediation framework for semantic web services.

Roman Vaculín, Roman Neruda, Katia P. Sycara

Int. J. Agent Oriented Softw. Eng., 2009

Localization With a Low-cost Robot.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Conference on Theory and Practice of Information Technologies, 2009

Description, Composition, and Decision Support for Multiagent Computational Systems.

Roman Neruda

Proceedings of the ICTAI 2009, 2009

2008

An Agent for Asymmetric Process Mediation in Open Environments.

Roman Vaculín, Roman Neruda, Katia P. Sycara

Proceedings of the Service-Oriented Computing: Agents, 2008

Ontology-based and Evolutionary Search for Computational Agents Schemes.

Roman Neruda

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

Learning algorithms for small mobile robots: case study on maze exploration.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Conference on Theory and Practice of Information Technologies, 2008

Testing Error Estimates for Regularization and Radial Function Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the Advances in Neural Networks, 2008

Modeling and Discovery of Data Providing Services.

Roman Vaculín, Huajun Chen, Roman Neruda, Katia P. Sycara

Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Evolutionary trained radial basis function networks for robot control.

Petra Vidnerová, Stanislav Slusny, Roman Neruda

Proceedings of the 10th International Conference on Control, 2008

Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Artificial Neural Networks, 2008

Implementing Boolean Matrix Factorization.

Roman Neruda, Václav Snásel, Jan Platos, Pavel Krömer, Dusan Húsek, Alexander A. Frolov

Proceedings of the Artificial Neural Networks, 2008

Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes.

Roman Neruda

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller.

Roman Neruda, Stanislav Slusny, Petra Vidnerová

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

Towards Extending Service Discovery with Automated Composition Capabilities.

Roman Vaculín, Roman Neruda, Katia P. Sycara

Proceedings of the ECOWS 2008, 2008

2007

Variants of Memetic And Hybrid Learning of Perceptron Networks.

Roman Neruda, Stanislav Slusny

Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance.

Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolving neural network which control a robotic agent.

Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Description and Generation of Computational Agents.

Roman Neruda, Gerd Beuster

Proceedings of the Knowledge Science, 2006

Emerging Hybrid Computational Models.

Roman Neruda

Proceedings of the Computational Intelligence, 2006

Faster Learning with Overlapping Neural Assemblies.

Andrei Kursin, Dusan Húsek, Roman Neruda

Proceedings of the Artificial Neural Networks, 2006

Cooperation of Computational Intelligence Agents.

Roman Neruda

Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006

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

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Learning methods for radial basis function networks.

Roman Neruda, Petra Kudová

Future Gener. Comput. Syst., 2005

Estimating and Measuring Performance of Computational Agents.

Roman Neruda, Pavel Krusina

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

2004

Bang 3: A Computational Multi-Agent System.

Roman Neruda, Pavel Krusina, Petra Kudová, Pavel Rydvan, Gerd Beuster

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Kernel Based Learning Methods: Regularization Networks and RBF Networks.

Petra Kudová, Roman Neruda

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

Building Hybrid Soft Computing Agents.

Roman Neruda

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Towards building computational agent schemes.

Gerd Beuster, Pavel Krusina, Roman Neruda, Pavel Rydvan

Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

2002

Variants of Learning Algorithm Based on Kolmogorov Theorem.

Roman Neruda, Arnost Stedrý, Jitka Drkosová

Proceedings of the Computational Science - ICCS 2002, 2002

Hybrid Learning of RBF Networks.

Roman Neruda, Petra Kudová

Proceedings of the Computational Science - ICCS 2002, 2002

2001

Agents that Make Hybrid AI Models.

Roman Neruda

Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 2001

Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.

Roman Neruda, Arnost Stedrý, Jitka Drkosová

Proceedings of the Computational Science - ICCS 2001, 2001

More Autonomous Hybrid Models in Bang.

Roman Neruda, Pavel Krusina, Zuzana Petrová

Proceedings of the Computational Science - ICCS 2001, 2001

2000

Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries.

Roman Neruda

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Utilizing unique parametrization property in approximate genetic learning of feed-forward networks.

Roman Neruda

Proceedings of the International Joint Conference Neural Networks, 1999

1997

Parallelizing Self-Organizing Maps.

David Strupl, Roman Neruda

Proceedings of the SOFSEM '97: Theory and Practice of Informatics, 1997

Yet Another Genetic Algorithm for Feed-Forward Neural Networks.

Roman Neruda

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Canonical Genetic Learning of RBF Networks Is Faster.

Roman Neruda

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1995

Functional Equivalence and Genetic Learning of RBF Networks.

Roman Neruda

Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995