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ORCIDRoman Neruda
- > Home > Persons > Roman Neruda
Publications
- 2017
[j6]Tomás Kren, Martin Pilát
, Roman Neruda:
Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming. Int. J. Artif. Intell. Tools 26(5): 1760020:1-1760020:24 (2017)- [c106]Martin Pilát, Roman Neruda:
Parallel evolutionary algorithm with interleaving generations. GECCO 2017: 865-872 - [c101]Tomás Kren, Martin Pilát, Roman Neruda:
Multi-objective evolution of machine learning workflows. SSCI 2017: 1-8 - [c100]Roman Neruda, Martin Pilát, Josef Moudrík:
Unsupervised and Supervised Activity Analysis of Drone Sensor Data. WEA 2017: 3-11 - 2016
- [c98]Martin Pilát, Roman Neruda:
General tuning of weights in MOEA/D. CEC 2016: 965-972 - [c97]Martin Pilát, Tomás Kren, Roman Neruda:
Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. ICTAI 2016: 577-584 - [c94]Martin Pilát, Roman Neruda:
Feature Extraction for Surrogate Models in Genetic Programming. PPSN 2016: 335-344 - 2015
- [c91]Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda:
Co-evolutionary genetic programming for dataset similarity induction. CEC 2015: 1160-1166 - [c89]Martin Pilát, Roman Neruda:
Incorporating User Preferences in MOEA/D through the Coevolution of Weights. GECCO 2015: 727-734 - [c87]Martin Pilát, Roman Neruda:
Hypervolume-Based Surrogate Model for MO-CMA-ES. ICTAI 2015: 604-611 - [c86]Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda:
Generating Workflow Graphs Using Typed Genetic Programming. MetaSel@PKDD/ECML 2015: 108-109 - [c84]Toma Ken, Martin Pilát, Roman Neruda:
Evolving Workflow Graphs Using Typed Genetic Programming. SSCI 2015: 1407-1414 - [c83]Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda:
Multi-Objective Genetic Programming for Dataset Similarity Induction. SSCI 2015: 1576-1582 - 2014
- [c79]Martin Pilát, Roman Neruda:
The effect of different local search algorithms on the performance of multi-objective optimizers. IEEE Congress on Evolutionary Computation 2014: 2172-2179 - [c77]Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda:
Hybrid Multi-Agent System for Metalearning in Data Mining. MetaSel@ECAI 2014: 53-54 - [c76]Martin Pilát, Roman Neruda:
Hypervolume-based local search in multi-objective evolutionary optimization. GECCO 2014: 637-644 - 2013
- [j5]Martin Pilát, Roman Neruda:
Aggregate meta-models for evolutionary multiobjective and many-objective optimization. Neurocomputing 116: 392-402 (2013) - [c72]Martin Pilát, Roman Neruda:
Surrogate model selection for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation 2013: 1860-1867 - [c71]Martin Pilát, Roman Neruda:
Multiobjectivization for classifier parameter tuning. GECCO (Companion) 2013: 97-98 - [c69]Martin Pilát, Roman Neruda:
Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning. ICIC (3) 2013: 61-66 - 2012
- [c66]Stepán Balcar, Martin Pilát, Roman Neruda:
An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c65]Martin Pilát, Roman Neruda:
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c64]Martin Pilát, Roman Neruda:
A surrogate multiobjective evolutionary strategy with local search and pre-selection. GECCO (Companion) 2012: 633-634 - [c63]Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda:
A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results. IAT 2012: 170-174 - [c61]Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda:
Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. ICMLA (2) 2012: 36-41 - [c60]Martin Pilát, Roman Neruda:
Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. ICMLA (1) 2012: 433-438 - [c59]Martin Pilát, Roman Neruda:
A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. ICTAI 2012: 215-222 - 2011
- [c57]Martin Pilát, Roman Neruda:
ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. IEEE Congress on Evolutionary Computation 2011: 1202-1208 - [c56]Martin Pilát, Roman Neruda:
LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. GECCO (Companion) 2011: 79-80 - [c55]Martin Pilát, Roman Neruda:
Improving many-objective optimizers with aggregate meta-models. HIS 2011: 555-560 - [c54]Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda:
Meta Learning in Multi-agent Systems for Data Mining. IAT 2011: 433-434 - [c52]Martin Pilát, Roman Neruda:
Local Meta-models for ASM-MOMA. ICIC (3) 2011: 79-84 - [c51]Martin Pilát, Roman Neruda:
Local Meta-models for ASM-MOMA. ICIC (1) 2011: 147-152 - [c49]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: 366-369 - 2010
- [c44]Martin Pilát, Roman Neruda:
Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. IEEE Congress on Evolutionary Computation 2010: 1-8
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