Roman Neruda - RankMe

144 papers A* 1A 6B 27C 12Misc 4Journal 13Unranked 75

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. AutoML Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025	J	`jnl`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. CoRR Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025	B	`conf`	Utilizing Novelty-Based Evolution Strategies to Train Transformers in Reinforcement Learning. ICTAI Matyás Lorenc, Roman Neruda
2024	J	`jnl`	On cosine fuzzy sets and uncertainty quantification. Eng. Appl. Artif. Intell. Juan Carlos Figueroa-García, Roman Neruda, Germán Jairo Hernández-Pérez
2024	A*	`conf`	Surprisingly Strong Performance Prediction with Neural Graph Features. ICML Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
2024	J	`jnl`	Surprisingly Strong Performance Prediction with Neural Graph Features. CoRR Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
2023	J	`jnl`	A genetic algorithm for multivariate missing data imputation. Inf. Sci. Juan Carlos Figueroa-García, Roman Neruda, Germán Jairo Hernández-Pérez
2023	—	`conf`	On Truncating Fuzzy Numbers with α-Levels. NAFIPS Juan Carlos Figueroa García, Roman Neruda, Carlos Franco
2022	—	`conf`	An Experimental Study on Fuzzy Markov Chains Under M NAFIPS Juan Carlos Figueroa García, Roman Neruda, Yurilev Chalco-Cano
2022	—	`ch.`	An Optimization Model for Location-Allocation of Health Services Under Uncertainty. Computational Intelligence Methodologies Applied to Sustainable Development Goals Juan Carlos Figueroa-García, Carlos Franco, Roman Neruda
2022	C	`conf`	Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. EANN Gabriela Suchopárová, Petra Vidnerová, Roman Neruda, Martin Smíd
2021	C	`conf`	Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. ICMLA Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Roman Neruda
2021	—	`conf`	Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model. ITAT 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
2020	B	`conf`	Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks. IJCNN Stepán Procházka, Roman Neruda
2020	—	`conf`	Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming. SSCI Gabriela Suchopárová, Roman Neruda
2020	—	`conf`	Multi-objective Evolution for Deep Neural Network Architecture Search. ICONIP (3) Petra Vidnerová, Roman Neruda
2020	—	`conf`	Multiobjective Evolution for Convolutional Neural Network Architecture Search. ICAISC (1) Petra Vidnerová, Stepán Procházka, Roman Neruda
2020	B	`conf`	On the relationship between the centroid and the footprint of uncertainty of Interval Type-2 fuzzy numbers. FUZZ-IEEE Juan Carlos Figueroa-García, Roman Neruda, Yurilev Chalco-Cano, Heriberto Román-Flores
2020	J	`jnl`	Vulnerability of classifiers to evolutionary generated adversarial examples. Neural Networks Petra Vidnerová, Roman Neruda
2019	C	`conf`	Hyperparameters Search Methods for Machine Learning Linear Workflows. ICMLA Klára Pesková, Roman Neruda
2019	—	`conf`	On the boundaries of the centroid of a class of fuzzy numbers. LA-CCI Juan Carlos Figueroa-García, Alvaro David Orjuela-Cañón, Roman Neruda
2018	—	`conf`	Asynchronous Evolution of Convolutional Networks. ITAT Petra Vidnerová, Roman Neruda
2018	—	`conf`	Deep Networks with RBF Layers to Prevent Adversarial Examples. ICAISC (1) Petra Vidnerová, Roman Neruda
2018	B	`conf`	Utilization of Genetic Programming to Solve a Simple Task Network Planning Problem. SMC Lucie Rehakova, Roman Neruda
2017	B	`conf`	Algorithm Discovery with Monte-Carlo Search: Controlling the Size. ICTAI Josef Moudrík, Tomás Kren, Roman Neruda
2017	J	`jnl`	Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming. Int. J. Artif. Intell. Tools Tomás Kren, Martin Pilát, Roman Neruda
2017	—	`conf`	Combining top-down and bottom-up approaches for automated discovery of typed programs. SSCI Tomás Kren, Josef Moudrík, Roman Neruda
2017	—	`conf`	Evolution Strategies for Deep Neural Network Models Design. ITAT Petra Vidnerová, Roman Neruda
2017	C	`conf`	Evolving KERAS Architectures for Sensor Data Analysis. FedCSIS Petra Vidnerová, Roman Neruda
2017	—	`conf`	Matching subtrees in genetic programming crossover operator. ICNC-FSKD Martin Slapák, Roman Neruda
2017	—	`conf`	Multi-objective evolution of machine learning workflows. SSCI Tomás Kren, Martin Pilát, Roman Neruda
2017	A	`conf`	Parallel evolutionary algorithm with interleaving generations. GECCO Martin Pilát, Roman Neruda
2017	—	`ed.`	Theory and Practice of Natural Computing - 6th International Conference, TPNC 2017, Prague, Czech Republic, December 18-20, 2017, Proceedings TPNC Carlos Martín-Vide, Roman Neruda, Miguel A. Vega-Rodríguez
2017	—	`conf`	Unsupervised and Supervised Activity Analysis of Drone Sensor Data. WEA Roman Neruda, Martin Pilát, Josef Moudrík
2016	B	`conf`	Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. ICTAI Martin Pilát, Tomás Kren, Roman Neruda
2016	—	`conf`	Determining Player Skill in the Game of Go with Deep Neural Networks. TPNC Josef Moudrík, Roman Neruda
2016	—	`conf`	Evolutionary generation of adversarial examples for deep and shallow machine learning models. MISNC Petra Vidnerová, Roman Neruda
2016	A	`conf`	Feature Extraction for Surrogate Models in Genetic Programming. PPSN Martin Pilát, Roman Neruda
2016	B	`conf`	General tuning of weights in MOEA/D. CEC Martin Pilát, Roman Neruda
2016	—	`conf`	Search Techniques for Automated Proposal of Data Mining Schemes. WEA Roman Neruda
2016	B	`conf`	Sensor Data Air Pollution Prediction by Kernel Models. CCGrid Petra Vidnerová, Roman Neruda
2016	—	`conf`	Vulnerability of Machine Learning Models to Adversarial Examples. ITAT Petra Vidnerová, Roman Neruda
2015	B	`conf`	A Dynamic Programming Approach to Individual Initialization in Genetic Programming. SMC Tomás Kren, Roman Neruda
2015	B	`conf`	Co-evolutionary genetic programming for dataset similarity induction. CEC Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
2015	J	`jnl`	Evaluating Go Game Records for Prediction of Player Attributes. CoRR Josef Moudrík, Petr Baudis, Roman Neruda
2015	—	`conf`	Evaluating Go game records for prediction of player attributes. CIG Josef Moudrík, Petr Baudis, Roman Neruda
2015	—	`conf`	Evolving Non-Linear Stacking Ensembles for Prediction of Go Player Attributes. SSCI Josef Moudrík, Roman Neruda
2015	J	`jnl`	Evolving Non-linear Stacking Ensembles for Prediction of Go Player Attributes. CoRR Josef Moudrík, Roman Neruda
2015	—	`conf`	Evolving Workflow Graphs Using Typed Genetic Programming. SSCI Toma Ken, Martin Pilát, Roman Neruda
2015	—	`conf`	Generating Workflow Graphs Using Typed Genetic Programming. MetaSel@PKDD/ECML Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda
2015	B	`conf`	Hypervolume-Based Surrogate Model for MO-CMA-ES. ICTAI Martin Pilát, Roman Neruda
2015	A	`conf`	Incorporating User Preferences in MOEA/D through the Coevolution of Weights. GECCO Martin Pilát, Roman Neruda
2015	—	`conf`	Multi-Objective Genetic Programming for Dataset Similarity Induction. SSCI Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
2015	—	`conf`	Product Multi-kernels for Sensor Data Analysis. ICAISC (1) Petra Vidnerová, Roman Neruda
2014	C	`conf`	Comparing datasets by attribute alignment. CIDM Jakub Smíd, Roman Neruda
2014	—	`conf`	Data Mining Process Optimization in Computational Multi-agent Systems. ADMI Ondrej Kazík, Roman Neruda
2014	B	`conf`	Generating lambda term individuals in typed genetic programming using forgetful A∗. IEEE Congress on Evolutionary Computation Tomás Kren, Roman Neruda
2014	—	`conf`	Hybrid Multi-Agent System for Metalearning in Data Mining. MetaSel@ECAI Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda
2014	A	`conf`	Hypervolume-based local search in multi-objective evolutionary optimization. GECCO Martin Pilát, Roman Neruda
2014	—	`conf`	Multiobjective Genetic Programming of Agent Decision Strategies. IBICA Martin Slapák, Roman Neruda
2014	B	`conf`	The effect of different local search algorithms on the performance of multi-objective optimizers. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2014	A	`conf`	Utilization of reductions and abstraction elimination in typed genetic programming. GECCO Tomás Kren, Roman Neruda
2013	J	`jnl`	Aggregate meta-models for evolutionary multiobjective and many-objective optimization. Neurocomputing Martin Pilát, Roman Neruda
2013	—	`conf`	Clustering Based Classification in Data Mining Method Recommendation. ICMLA (2) Ondrej Kazík, Klára Pesková, Jakub Smíd, Roman Neruda
2013	—	`conf`	Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning. ICIC (3) Martin Pilát, Roman Neruda
2013	—	`conf`	Multiobjectivization for classifier parameter tuning. GECCO (Companion) Martin Pilát, Roman Neruda
2013	B	`conf`	Surrogate model selection for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2013	—	`conf`	Two-Phase Genetic Algorithm for Social Network Graphs Clustering. AINA Workshops Jan Kohout, Roman Neruda
2013	—	`conf`	Using Genetic Programming to Estimate Performance of Computational Intelligence Models. ICANNGA Jakub Smíd, Roman Neruda
2012	—	`conf`	A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results. IAT Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2012	B	`conf`	A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. ICTAI Martin Pilát, Roman Neruda
2012	—	`conf`	A surrogate multiobjective evolutionary strategy with local search and pre-selection. GECCO (Companion) Martin Pilát, Roman Neruda
2012	B	`conf`	An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2012	B	`conf`	An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. IEEE Congress on Evolutionary Computation Stepán Balcar, Martin Pilát, Roman Neruda
2012	—	`conf`	Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. ICMLA (2) Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2012	—	`conf`	Evolving Decision Strategies for Computational Intelligence Agents. ICIC (2) Roman Neruda, Martin Slapák
2012	C	`conf`	Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm. ISMIS Jan Kohout, Roman Neruda
2012	—	`ch.`	Management of MAS by Means of Automated Reasoning in the Role Model. Software Agents, Agent Systems and Their Applications Ondrej Kazík, Roman Neruda
2012	—	`conf`	Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. ICMLA (1) Martin Pilát, Roman Neruda
2012	—	`conf`	Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems. ADMI Ondrej Kazík, Roman Neruda
2011	B	`conf`	ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2011	—	`conf`	Evolutionary Learning of Regularization Networks with Multi-kernel Units. ISNN (1) Petra Vidnerová, Roman Neruda
2011	B	`conf`	Evolutionary learning of regularization networks with product kernel units. SMC Petra Vidnerová, Roman Neruda
2011	—	`conf`	Evolving Sum and Composite Kernel Functions for Regularization Networks. ICANNGA (1) Petra Vidnerová, Roman Neruda
2011	—	`conf`	Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. ICMLA (2) Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2011	C	`conf`	Improving many-objective optimizers with aggregate meta-models. HIS Martin Pilát, Roman Neruda
2011	—	`conf`	LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. GECCO (Companion) Martin Pilát, Roman Neruda
2011	—	`conf`	Local Meta-models for ASM-MOMA. ICIC (3) Martin Pilát, Roman Neruda
2011	—	`conf`	Local Meta-models for ASM-MOMA. ICIC (1) Martin Pilát, Roman Neruda
2011	—	`conf`	Local Search Heuristics for Robotic Routing Planner. ISNN (3) Stanislav Slusny, Roman Neruda
2011	—	`conf`	Meta Learning in Multi-agent Systems for Data Mining. IAT Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2011	C	`conf`	Modeling data mining processes in computational multi-agent systems. MEDES Roman Neruda, Ondrej Kazík
2011	—	`conf`	Role Model of Search in Agents' Parameter-Space. ICMLA (2) Ondrej Kazík, Roman Neruda
2010	B	`conf`	Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2010	J	`jnl`	Comparison of behavior-based and planning techniques on the small robot maze exploration problem. Neural Networks Stanislav Slusny, Roman Neruda, Petra Vidnerová
2010	J	`jnl`	Editorial. Neural Networks Vera Kurková, Roman Neruda, Jan Koutník
2010	—	`conf`	Genetic Algorithm with Species for Regularization Network Metalearning. IAIT Roman Neruda, Petra Vidnerová
2010	—	`conf`	Hybrid Learning of Regularization Neural Networks. ICAISC (2) Petra Vidnerová, Roman Neruda
2010	—	`conf`	Memetic Evolutionary Learning for Local Unit Networks. ISNN (1) Roman Neruda, Petra Vidnerová
2010	—	`conf`	Real Time Robot Path Planning and Cleaning. ICIC (2) Stanislav Slusny, Michal Zerola, Roman Neruda
2010	C	`conf`	Role-based design of computational intelligence multi-agent system. MEDES Roman Neruda, Ondrej Kazík
2009	B	`conf`	Description, Composition, and Decision Support for Multiagent Computational Systems. ICTAI Roman Neruda
2009	—	`conf`	Localization With a Low-cost Robot. ITAT Stanislav Slusny, Roman Neruda, Petra Vidnerová
2009	J	`jnl`	The process mediation framework for semantic web services. Int. J. Agent Oriented Softw. Eng. Roman Vaculín, Roman Neruda, Katia P. Sycara
2009	—	`ch.`	Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Roman Neruda
2008	—	`conf`	An Agent for Asymmetric Process Mediation in Open Environments. SOCASE Roman Vaculín, Roman Neruda, Katia P. Sycara
2008	—	`ed.`	Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I ICANN (1) Vera Kurková, Roman Neruda, Jan Koutník
2008	—	`ed.`	Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II ICANN (2) Vera Kurková, Roman Neruda, Jan Koutník
2008	—	`conf`	Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. ICANN (1) Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	—	`conf`	Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller. GEM Roman Neruda, Stanislav Slusny, Petra Vidnerová
2008	C	`conf`	Evolutionary trained radial basis function networks for robot control. ICARCV Petra Vidnerová, Stanislav Slusny, Roman Neruda
2008	—	`conf`	Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes. Web Intelligence/IAT Workshops Roman Neruda
2008	—	`conf`	Implementing Boolean Matrix Factorization. ICANN (1) Roman Neruda, Václav Snásel, Jan Platos, Pavel Krömer, Dusan Húsek, Alexander A. Frolov
2008	—	`conf`	Learning algorithms for small mobile robots: case study on maze exploration. ITAT Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	A	`conf`	Modeling and Discovery of Data Providing Services. ICWS Roman Vaculín, Huajun Chen, Roman Neruda, Katia P. Sycara
2008	C	`conf`	Ontology-based and Evolutionary Search for Computational Agents Schemes. SEKE Roman Neruda
2008	—	`conf`	Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms. ICIC (2) Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	—	`conf`	Testing Error Estimates for Regularization and Radial Function Networks. ISNN (1) Petra Vidnerová, Roman Neruda
2008	—	`conf`	Towards Extending Service Discovery with Automated Composition Capabilities. ECOWS Roman Vaculín, Roman Neruda, Katia P. Sycara
2007	B	`conf`	Evolving neural network which control a robotic agent. IEEE Congress on Evolutionary Computation Roman Neruda
2007	B	`conf`	Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance. IEEE Congress on Evolutionary Computation Roman Neruda
2007	—	`conf`	Variants of Memetic And Hybrid Learning of Perceptron Networks. DEXA Workshops Roman Neruda, Stanislav Slusny
2006	—	`conf`	Cooperation of Computational Intelligence Agents. CTS Roman Neruda
2006	C	`conf`	Description and Generation of Computational Agents. KSEM Roman Neruda, Gerd Beuster
2006	—	`conf`	Emerging Hybrid Computational Models. ICIC (2) Roman Neruda
2006	—	`conf`	Faster Learning with Overlapping Neural Assemblies. ICANN (1) Andrei Kursin, Dusan Húsek, Roman Neruda
2006	B	`conf`	Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles. IEEE Congress on Evolutionary Computation Suhail S. J. Owais, Pavel Krömer, Václav Snásel, Dusan Húsek, Roman Neruda
2005	—	`conf`	Estimating and Measuring Performance of Computational Agents. IAT Roman Neruda, Pavel Krusina
2005	J	`jnl`	Learning methods for radial basis function networks. Future Gener. Comput. Syst. Roman Neruda, Petra Kudová
2004	—	`conf`	Bang 3: A Computational Multi-Agent System. IAT Roman Neruda, Pavel Krusina, Petra Kudová, Pavel Rydvan, Gerd Beuster
2004	—	`conf`	Kernel Based Learning Methods: Regularization Networks and RBF Networks. Deterministic and Statistical Methods in Machine Learning Petra Kudová, Roman Neruda
2003	—	`conf`	Building Hybrid Soft Computing Agents. Neural Networks and Computational Intelligence Roman Neruda
2003	—	`conf`	Towards building computational agent schemes. ICANNGA Gerd Beuster, Pavel Krusina, Roman Neruda, Pavel Rydvan
2002	Misc	`conf`	Hybrid Learning of RBF Networks. International Conference on Computational Science (3) Roman Neruda, Petra Kudová
2002	Misc	`conf`	Variants of Learning Algorithm Based on Kolmogorov Theorem. International Conference on Computational Science (3) Roman Neruda, Arnost Stedrý, Jitka Drkosová
2001	—	`conf`	Agents that Make Hybrid AI Models. ISAS-SCI (1) Roman Neruda
2001	Misc	`conf`	Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks. International Conference on Computational Science (2) Roman Neruda, Arnost Stedrý, Jitka Drkosová
2001	Misc	`conf`	More Autonomous Hybrid Models in Bang. International Conference on Computational Science (2) Roman Neruda, Pavel Krusina, Zuzana Petrová
2000	—	`conf`	Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries. IJCNN (1) Roman Neruda
1999	B	`conf`	Utilizing unique parametrization property in approximate genetic learning of feed-forward networks. IJCNN Roman Neruda
1997	—	`conf`	Canonical Genetic Learning of RBF Networks Is Faster. ICANNGA Roman Neruda
1997	B	`conf`	Parallelizing Self-Organizing Maps. SOFSEM David Strupl, Roman Neruda
1997	B	`conf`	Yet Another Genetic Algorithm for Feed-Forward Neural Networks. ICTAI Roman Neruda
1995	—	`conf`	Functional Equivalence and Genetic Learning of RBF Networks. ICANNGA Roman Neruda