 | 2012 |
| 56 |  | Ondrej Kazík,
Roman Neruda:
Management of MAS by Means of Automated Reasoning in the Role Model.
Software Agents, Agent Systems and Their Applications 2012: 309-322 |
| 2011 |
| 55 |  | Martin Pilát,
Roman Neruda:
LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model.
GECCO (Companion) 2011: 79-80 |
| 54 |  | Martin Pilát,
Roman Neruda:
Improving many-objective optimizers with aggregate meta-models.
HIS 2011: 555-560 |
| 53 |  | Ondrej Kazík,
Klára Pesková,
Martin Pilát,
Roman Neruda:
Meta Learning in Multi-agent Systems for Data Mining.
IAT 2011: 433-434 |
| 52 |  | Petra Vidnerová,
Roman Neruda:
Evolving Sum and Composite Kernel Functions for Regularization Networks.
ICANNGA (1) 2011: 180-189 |
| 51 |  | Martin Pilát,
Roman Neruda:
Local Meta-models for ASM-MOMA.
ICIC (1) 2011: 147-152 |
| 50 |  | Martin Pilát,
Roman Neruda:
Local Meta-models for ASM-MOMA.
ICIC (3) 2011: 79-84 |
| 49 |  | Martin Pilát,
Roman Neruda:
ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model.
IEEE Congress on Evolutionary Computation 2011: 1202-1208 |
| 48 |  | Petra Vidnerová,
Roman Neruda:
Evolutionary Learning of Regularization Networks with Multi-kernel Units.
ISNN (1) 2011: 538-546 |
| 47 |  | Stanislav Slusny,
Roman Neruda:
Local Search Heuristics for Robotic Routing Planner.
ISNN (3) 2011: 31-40 |
| 46 |  | Roman Neruda,
Ondrej Kazík:
Modeling data mining processes in computational multi-agent systems.
MEDES 2011: 61-67 |
| 45 |  | Petra Vidnerová,
Roman Neruda:
Evolutionary learning of regularization networks with product kernel units.
SMC 2011: 638-643 |
| 2010 |
| 44 |  | Roman Neruda,
Petra Vidnerová:
Genetic Algorithm with Species for Regularization Network Metalearning.
IAIT 2010: 192-201 |
| 43 |  | Petra Vidnerová,
Roman Neruda:
Hybrid Learning of Regularization Neural Networks.
ICAISC (2) 2010: 124-131 |
| 42 |  | Stanislav Slusny,
Michal Zerola,
Roman Neruda:
Real Time Robot Path Planning and Cleaning.
ICIC (2) 2010: 442-449 |
| 41 |  | Martin Pilát,
Roman Neruda:
Combining multiobjective and single-objective genetic algorithms in heterogeneous island model.
IEEE Congress on Evolutionary Computation 2010: 1-8 |
| 40 |  | Roman Neruda,
Petra Vidnerová:
Memetic Evolutionary Learning for Local Unit Networks.
ISNN (1) 2010: 534-541 |
| 39 |  | Roman Neruda,
Ondrej Kazík:
Role-based design of computational intelligence multi-agent system.
MEDES 2010: 95-101 |
| 38 |  | Vera Kurková,
Roman Neruda,
Jan Koutník:
Editorial.
Neural Networks 23(4): 465 (2010) |
| 37 |  | Stanislav Slusny,
Roman Neruda,
Petra Vidnerová:
Comparison of behavior-based and planning techniques on the small robot maze exploration problem.
Neural Networks 23(4): 560-567 (2010) |
| 2009 |
| 36 |  | Roman Neruda:
Description, Composition, and Decision Support for Multiagent Computational Systems.
ICTAI 2009: 300-307 |
| 35 |  | Stanislav Slusny,
Roman Neruda,
Petra Vidnerová:
Localization With a Low-cost Robot.
ITAT 2009: 77-80 |
| 34 |  | Roman Neruda:
Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems.
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2009: 271-281 |
| 33 |  | Roman Vaculín,
Roman Neruda,
Katia P. Sycara:
The process mediation framework for semantic web services.
IJAOSE 3(1): 27-58 (2009) |
| 2008 |
| 32 |  | Vera Kurková,
Roman Neruda,
Jan Koutník:
Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
Springer 2008 |
| 31 |  | Vera Kurková,
Roman Neruda,
Jan Koutník:
Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II
Springer 2008 |
| 30 |  | Roman Vaculín,
Roman Neruda,
Katia P. Sycara:
Towards Extending Service Discovery with Automated Composition Capabilities.
ECOWS 2008: 3-12 |
| 29 |  | Roman Neruda,
Stanislav Slusny,
Petra Vidnerová:
Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller.
GEM 2008: 222-228 |
| 28 |  | Roman Neruda,
Václav Snásel,
Jan Platos,
Pavel Krömer,
Dusan Húsek,
Alexander A. Frolov:
Implementing Boolean Matrix Factorization.
ICANN (1) 2008: 543-552 |
| 27 |  | Stanislav Slusny,
Roman Neruda,
Petra Vidnerová:
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem.
ICANN (1) 2008: 720-729 |
| 26 |  | Petra Vidnerová,
Stanislav Slusny,
Roman Neruda:
Evolutionary trained radial basis function networks for robot control.
ICARCV 2008: 833-838 |
| 25 |  | Stanislav Slusny,
Roman Neruda,
Petra Vidnerová:
Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms.
ICIC (2) 2008: 284-291 |
| 24 |  | Roman Vaculín,
Huajun Chen,
Roman Neruda,
Katia P. Sycara:
Modeling and Discovery of Data Providing Services.
ICWS 2008: 54-61 |
| 23 |  | Petra Vidnerová,
Roman Neruda:
Testing Error Estimates for Regularization and Radial Function Networks.
ISNN (1) 2008: 549-554 |
| 22 |  | Roman Neruda:
Ontology-based and Evolutionary Search for Computational Agents Schemes.
SEKE 2008: 569-572 |
| 21 |  | Roman Vaculín,
Roman Neruda,
Katia P. Sycara:
An Agent for Asymmetric Process Mediation in Open Environments.
SOCASE 2008: 104-117 |
| 20 |  | Roman Neruda:
Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes.
Web Intelligence/IAT Workshops 2008: 579-582 |
| 2007 |
| 19 |  | Roman Neruda,
Stanislav Slusny:
Variants of Memetic And Hybrid Learning of Perceptron Networks.
DEXA Workshops 2007: 158-162 |
| 18 |  | Roman Neruda:
Evolving neural network which control a robotic agent.
IEEE Congress on Evolutionary Computation 2007: 1517-1522 |
| 17 |  | Roman Neruda:
Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance.
IEEE Congress on Evolutionary Computation 2007: 1620-1627 |
| 2006 |
| 16 |  | Andrei Kursin,
Dusan Húsek,
Roman Neruda:
Faster Learning with Overlapping Neural Assemblies.
ICANN (1) 2006: 226-233 |
| 15 |  | Roman Neruda:
Emerging Hybrid Computational Models.
ICIC (2) 2006: 379-389 |
| 14 |  | Roman Neruda,
Gerd Beuster:
Description and Generation of Computational Agents.
KSEM 2006: 318-329 |
| 2005 |
| 13 |  | Roman Neruda,
Pavel Krusina:
Estimating and Measuring Performance of Computational Agents.
IAT 2005: 615-618 |
| 12 |  | Roman Neruda,
Petra Kudová:
Learning methods for radial basis function networks.
Future Generation Comp. Syst. 21(7): 1131-1142 (2005) |
| 2004 |
| 11 |  | Petra Kudová,
Roman Neruda:
Kernel Based Learning Methods: Regularization Networks and RBF Networks.
Deterministic and Statistical Methods in Machine Learning 2004: 124-136 |
| 10 |  | Roman Neruda,
Pavel Krusina,
Petra Kudová,
Pavel Rydvan,
Gerd Beuster:
Bang 3: A Computational Multi-Agent System.
IAT 2004: 563-564 |
| 2003 |
| 9 |  | Roman Neruda:
Building Hybrid Soft Computing Agents.
Neural Networks and Computational Intelligence 2003: 7-12 |
| 2002 |
| 8 |  | Roman Neruda,
Arnost Stedrý,
Jitka Drkosová:
Variants of Learning Algorithm Based on Kolmogorov Theorem.
International Conference on Computational Science (3) 2002: 536-543 |
| 7 |  | Roman Neruda,
Petra Kudová:
Hybrid Learning of RBF Networks.
International Conference on Computational Science (3) 2002: 594-603 |
| 2001 |
| 6 |  | Roman Neruda:
Agents that Make Hybrid AI Models.
ISAS-SCI (1) 2001: 24-29 |
| 5 |  | Roman Neruda,
Pavel Krusina,
Zuzana Petrová:
More Autonomous Hybrid Models in Bang.
International Conference on Computational Science (2) 2001: 935-942 |
| 4 |  | Roman Neruda,
Arnost Stedrý,
Jitka Drkosová:
Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.
International Conference on Computational Science (2) 2001: 986-995 |
| 2000 |
| 3 |  | Roman Neruda:
Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries.
IJCNN (1) 2000: 293-298 |
| 1997 |
| 2 |  | Roman Neruda:
Yet Another Genetic Algorithm for Feed-Forward Neural Networks.
ICTAI 1997: 375- |
| 1 |  | David Strupl,
Roman Neruda:
Parallelizing Self-Organizing Maps.
SOFSEM 1997: 563-570 |