Roman Neruda

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 35

Top Venues

Publications

Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
Surprisingly Strong Performance Prediction with Neural Graph Features. CoRR (2024)
Juan Carlos Figueroa García, Roman Neruda, Carlos Franco
On Truncating Fuzzy Numbers with α-Levels. NAFIPS (2023)
Juan Carlos Figueroa-García, Roman Neruda, Germán Hernández-Pérez
A genetic algorithm for multivariate missing data imputation. Inf. Sci. 619 (2023)
Gabriela Suchopárová, Petra Vidnerová, Roman Neruda, Martin Smíd
Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. EANN (2022)
Juan Carlos Figueroa García, Roman Neruda, Yurilev Chalco-Cano
Generalized Mean Relation. NAFIPS (2022)
Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Roman Neruda
Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. ICMLA (2021)
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
Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model. ITAT (2021)
Petra Vidnerová, Roman Neruda
Multi-objective Evolution for Deep Neural Network Architecture Search. ICONIP (3) (2020)
Gabriela Suchopárová, Roman Neruda
Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming. SSCI (2020)
Juan Carlos Figueroa-García, Roman Neruda, Yurilev Chalco-Cano, Heriberto Román-Flores
On the relationship between the centroid and the footprint of uncertainty of Interval Type-2 fuzzy numbers. FUZZ-IEEE (2020)
Petra Vidnerová, Roman Neruda
Vulnerability of classifiers to evolutionary generated adversarial examples. Neural Networks 127 (2020)
Stepán Procházka, Roman Neruda
Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks. IJCNN (2020)
Petra Vidnerová, Stepán Procházka, Roman Neruda
Multiobjective Evolution for Convolutional Neural Network Architecture Search. ICAISC (1) (2020)
Juan Carlos Figueroa-García, Alvaro David Orjuela-Cañón, Roman Neruda
On the boundaries of the centroid of a class of fuzzy numbers. LA-CCI (2019)
Klára Pesková, Roman Neruda
Hyperparameters Search Methods for Machine Learning Linear Workflows. ICMLA (2019)
Lucie Rehakova, Roman Neruda
Utilization of Genetic Programming to Solve a Simple Task Network Planning Problem. SMC (2018)
Petra Vidnerová, Roman Neruda
Asynchronous Evolution of Convolutional Networks. ITAT (2018)
Petra Vidnerová, Roman Neruda
Deep Networks with RBF Layers to Prevent Adversarial Examples. ICAISC (1) (2018)
Martin Pilát, Roman Neruda
Parallel evolutionary algorithm with interleaving generations. GECCO (2017)
Petra Vidnerová, Roman Neruda
Evolving KERAS Architectures for Sensor Data Analysis. FedCSIS (2017)
Josef Moudrík, Tomás Kren, Roman Neruda
Algorithm Discovery with Monte-Carlo Search: Controlling the Size. ICTAI (2017)
Tomás Kren, Josef Moudrík, Roman Neruda
Combining top-down and bottom-up approaches for automated discovery of typed programs. SSCI (2017)
Petra Vidnerová, Roman Neruda
Evolution Strategies for Deep Neural Network Models Design. ITAT (2017)
Martin Slapák, Roman Neruda
Matching subtrees in genetic programming crossover operator. ICNC-FSKD (2017)
Roman Neruda, Martin Pilát, Josef Moudrík
Unsupervised and Supervised Activity Analysis of Drone Sensor Data. WEA (2017)
Tomás Kren, Martin Pilát, Roman Neruda
Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming. Int. J. Artif. Intell. Tools 26 (5) (2017)
Tomás Kren, Martin Pilát, Roman Neruda
Multi-objective evolution of machine learning workflows. SSCI (2017)
Josef Moudrík, Roman Neruda
Determining Player Skill in the Game of Go with Deep Neural Networks. TPNC (2016)
Petra Vidnerová, Roman Neruda
Evolutionary generation of adversarial examples for deep and shallow machine learning models. MISNC (2016)
Petra Vidnerová, Roman Neruda
Sensor Data Air Pollution Prediction by Kernel Models. CCGrid (2016)
Martin Pilát, Tomás Kren, Roman Neruda
Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. ICTAI (2016)
Petra Vidnerová, Roman Neruda
Vulnerability of Machine Learning Models to Adversarial Examples. ITAT (2016)
Roman Neruda
Search Techniques for Automated Proposal of Data Mining Schemes. WEA (2016)
Martin Pilát, Roman Neruda
General tuning of weights in MOEA/D. CEC (2016)
Martin Pilát, Roman Neruda
Feature Extraction for Surrogate Models in Genetic Programming. PPSN (2016)
Josef Moudrík, Roman Neruda
Evolving Non-linear Stacking Ensembles for Prediction of Go Player Attributes. CoRR (2015)
Martin Pilát, Roman Neruda
Incorporating User Preferences in MOEA/D through the Coevolution of Weights. GECCO (2015)
Tomás Kren, Roman Neruda
A Dynamic Programming Approach to Individual Initialization in Genetic Programming. SMC (2015)
Josef Moudrík, Petr Baudis, Roman Neruda
Evaluating Go Game Records for Prediction of Player Attributes. CoRR (2015)
Josef Moudrík, Roman Neruda
Evolving Non-Linear Stacking Ensembles for Prediction of Go Player Attributes. SSCI (2015)
Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda
Generating Workflow Graphs Using Typed Genetic Programming. MetaSel@PKDD/ECML (2015)
Martin Pilát, Roman Neruda
Hypervolume-Based Surrogate Model for MO-CMA-ES. ICTAI (2015)
Petra Vidnerová, Roman Neruda
Product Multi-kernels for Sensor Data Analysis. ICAISC (1) (2015)
Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
Multi-Objective Genetic Programming for Dataset Similarity Induction. SSCI (2015)
Josef Moudrík, Petr Baudis, Roman Neruda
Evaluating Go game records for prediction of player attributes. CIG (2015)
Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
Co-evolutionary genetic programming for dataset similarity induction. CEC (2015)
Toma Ken, Martin Pilát, Roman Neruda
Evolving Workflow Graphs Using Typed Genetic Programming. SSCI (2015)
Martin Pilát, Roman Neruda
The effect of different local search algorithms on the performance of multi-objective optimizers. IEEE Congress on Evolutionary Computation (2014)
Martin Pilát, Roman Neruda
Hypervolume-based local search in multi-objective evolutionary optimization. GECCO (2014)
Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda
Hybrid Multi-Agent System for Metalearning in Data Mining. MetaSel@ECAI (2014)
Jakub Smíd, Roman Neruda
Comparing datasets by attribute alignment. CIDM (2014)
Martin Slapák, Roman Neruda
Multiobjective Genetic Programming of Agent Decision Strategies. IBICA (2014)
Tomás Kren, Roman Neruda
Generating lambda term individuals in typed genetic programming using forgetful A∗. IEEE Congress on Evolutionary Computation (2014)
Tomás Kren, Roman Neruda
Utilization of reductions and abstraction elimination in typed genetic programming. GECCO (2014)
Ondrej Kazík, Roman Neruda
Data Mining Process Optimization in Computational Multi-agent Systems. ADMI (2014)
Martin Pilát, Roman Neruda
Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning. ICIC (3) (2013)
Jan Kohout, Roman Neruda
Two-Phase Genetic Algorithm for Social Network Graphs Clustering. AINA Workshops (2013)
Ondrej Kazík, Klára Pesková, Jakub Smíd, Roman Neruda
Clustering Based Classification in Data Mining Method Recommendation. ICMLA (2) (2013)
Martin Pilát, Roman Neruda
Multiobjectivization for classifier parameter tuning. GECCO (Companion) (2013)
Martin Pilát, Roman Neruda
Surrogate model selection for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation (2013)
Jakub Smíd, Roman Neruda
Using Genetic Programming to Estimate Performance of Computational Intelligence Models. ICANNGA (2013)
Martin Pilát, Roman Neruda
Aggregate meta-models for evolutionary multiobjective and many-objective optimization. Neurocomputing 116 (2013)
Jan Kohout, Roman Neruda
Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm. ISMIS (2012)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. ICMLA (2) (2012)
Martin Pilát, Roman Neruda
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. IEEE Congress on Evolutionary Computation (2012)
Martin Pilát, Roman Neruda
Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. ICMLA (1) (2012)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results. IAT (2012)
Roman Neruda, Martin Slapák
Evolving Decision Strategies for Computational Intelligence Agents. ICIC (2) (2012)
Stepán Balcar, Martin Pilát, Roman Neruda
An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. IEEE Congress on Evolutionary Computation (2012)
Ondrej Kazík, Roman Neruda
Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems. ADMI (2012)
Martin Pilát, Roman Neruda
A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. ICTAI (2012)
Martin Pilát, Roman Neruda
A surrogate multiobjective evolutionary strategy with local search and pre-selection. GECCO (Companion) (2012)
Martin Pilát, Roman Neruda
Local Meta-models for ASM-MOMA. ICIC (1) (2011)
Martin Pilát, Roman Neruda
LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. GECCO (Companion) (2011)
Roman Neruda, Ondrej Kazík
Modeling data mining processes in computational multi-agent systems. MEDES (2011)
Martin Pilát, Roman Neruda
Local Meta-models for ASM-MOMA. ICIC (3) (2011)
Petra Vidnerová, Roman Neruda
Evolutionary Learning of Regularization Networks with Multi-kernel Units. ISNN (1) (2011)
Petra Vidnerová, Roman Neruda
Evolving Sum and Composite Kernel Functions for Regularization Networks. ICANNGA (1) (2011)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. ICMLA (2) (2011)
Stanislav Slusny, Roman Neruda
Local Search Heuristics for Robotic Routing Planner. ISNN (3) (2011)
Martin Pilát, Roman Neruda
Improving many-objective optimizers with aggregate meta-models. HIS (2011)
Petra Vidnerová, Roman Neruda
Evolutionary learning of regularization networks with product kernel units. SMC (2011)
Ondrej Kazík, Roman Neruda
Role Model of Search in Agents' Parameter-Space. ICMLA (2) (2011)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
Meta Learning in Multi-agent Systems for Data Mining. IAT (2011)
Martin Pilát, Roman Neruda
ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. IEEE Congress on Evolutionary Computation (2011)
Roman Neruda, Petra Vidnerová
Memetic Evolutionary Learning for Local Unit Networks. ISNN (1) (2010)
Vera Kurková, Roman Neruda, Jan Koutník
Editorial. Neural Networks 23 (4) (2010)
Martin Pilát, Roman Neruda
Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. IEEE Congress on Evolutionary Computation (2010)
Stanislav Slusny, Roman Neruda, Petra Vidnerová
Comparison of behavior-based and planning techniques on the small robot maze exploration problem. Neural Networks 23 (4) (2010)
Stanislav Slusny, Michal Zerola, Roman Neruda
Real Time Robot Path Planning and Cleaning. ICIC (2) (2010)
Roman Neruda, Petra Vidnerová
Genetic Algorithm with Species for Regularization Network Metalearning. IAIT (2010)
Roman Neruda, Ondrej Kazík
Role-based design of computational intelligence multi-agent system. MEDES (2010)
Petra Vidnerová, Roman Neruda
Hybrid Learning of Regularization Neural Networks. ICAISC (2) (2010)
Stanislav Slusny, Roman Neruda, Petra Vidnerová
Localization With a Low-cost Robot. ITAT (2009)
Roman Neruda
Description, Composition, and Decision Support for Multiagent Computational Systems. ICTAI (2009)
Roman Vaculín, Roman Neruda, Katia P. Sycara
The process mediation framework for semantic web services. Int. J. Agent Oriented Softw. Eng. 3 (1) (2009)
Roman Vaculín, Huajun Chen, Roman Neruda, Katia P. Sycara
Modeling and Discovery of Data Providing Services. ICWS (2008)
Roman Neruda
Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes. Web Intelligence/IAT Workshops (2008)
Roman Neruda, Václav Snásel, Jan Platos, Pavel Krömer, Dusan Húsek, Alexander A. Frolov
Implementing Boolean Matrix Factorization. ICANN (1) (2008)
Roman Vaculín, Roman Neruda, Katia P. Sycara
An Agent for Asymmetric Process Mediation in Open Environments. SOCASE (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Roman Neruda