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Eva Volná
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2020 – today
- 2023
- [j16]Martin Kotyrba, Hashim Habiballa, Eva Volná, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina, Vladena Jaremova:
Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model. BMC Medical Informatics Decis. Mak. 23(1): 221 (2023) - [j15]Adam Barton, Eva Volná, Martin Kotyrba, Robert Jarusek:
Proposal of a Control Algorithm for Multiagent Cooperation Using Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2016-2027 (2023) - 2022
- [j14]Martin Kotyrba, Eva Volná, Hashim Habiballa, Josef Czyz:
The Influence of Genetic Algorithms on Learning Possibilities of Artificial Neural Networks. Comput. 11(5): 70 (2022) - [j13]Robert Jarusek, Eva Volná, Martin Kotyrba:
FOREX rate prediction improved by Elliott waves patterns based on neural networks. Neural Networks 145: 342-355 (2022) - 2021
- [j12]Eva Volná, Robert Jarusek, Martin Kotyrba, Jaroslav Zácek:
Training set fuzzification based on histogram to increase the performance of a neural network. Appl. Math. Comput. 398: 125994 (2021) - [j11]Martin Kotyrba, Eva Volná, Robert Jarusek, Pavel Smolka:
The use of conventional clustering methods combined with SOM to increase the efficiency. Neural Comput. Appl. 33(23): 16519-16531 (2021) - 2020
- [c37]Eva Volná, Martin Kotyrba, Vladimír Bradác:
Soft Computing-Based Control System of Intelligent Robot Navigation. ACIIDS (2) 2020: 379-390
2010 – 2019
- 2019
- [j10]Robert Jarusek, Eva Volná, Martin Kotyrba:
Photomontage detection using steganography technique based on a neural network. Neural Networks 116: 150-165 (2019) - [c36]Michal Jaluvka, Eva Volná, Martin Kotyrba:
Motion Controlling Using Finite-State Automata. ACIIDS (2) 2019: 455-464 - 2018
- [j9]Robert Jarusek, Eva Volná, Martin Kotyrba:
Robust steganographic method based on unconventional approach of neural networks. Appl. Soft Comput. 67: 505-518 (2018) - [j8]Eva Volná, Martin Kotyrba, Zuzana Komínková Oplatková, Roman Senkerik:
Elliott waves classification by means of neural and pseudo neural networks. Soft Comput. 22(6): 1803-1813 (2018) - [j7]Adam Barton, Eva Volná, Martin Kotyrba:
Control of autonomous robot behavior using data filtering through adaptive resonance theory. Vietnam. J. Comput. Sci. 5(2): 85-94 (2018) - [c35]Eva Volná, Martin Kotyrba:
Pathfinding in a Dynamically Changing Environment. ACIIDS (2) 2018: 265-274 - [c34]Martin Kotyrba, Eva Volná, Jakub Gaj:
Saturated Flow Method for Traffic Optimization in Ostrava City. ICISA 2018: 377-387 - [c33]Jan Konvicka, Martin Kotyrba, Eva Volná, Hashim Habiballa, Vladimír Bradác:
Adaptive Control of EV3 Robot Using Mobile Devices and Fuzzy Logic. ICISA 2018: 389-399 - [c32]Michal Jaluvka, Eva Volná:
Machine Learning for an Adaptive Rule Base. WILF 2018: 3-16 - 2017
- [j6]Eva Volná, Martin Kotyrba:
Enhanced ensemble-based classifier with boosting for pattern recognition. Appl. Math. Comput. 310: 1-14 (2017) - [c31]Adam Barton, Eva Volná, Martin Kotyrba:
Big Data Filtering Through Adaptive Resonance Theory. ACIIDS (2) 2017: 382-391 - [c30]Eva Volná, Jaroslav Zácek, Robert Jarusek:
Training Set Fuzzification Towards Prediction Improvement. HAIS 2017: 207-219 - [c29]Adam Barton, Eva Volná, Martin Kotyrba:
The Application Perspective of Izhikevich Spiking Neural Model - The Initial Experimental Study. MENDEL 2017: 223-232 - 2016
- [j5]Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov, Feng Liu:
Some highlights on fuzzy systems and data mining. J. Intell. Fuzzy Syst. 31(6): 2757-2758 (2016) - 2015
- [j4]Michal Janosek, Eva Volná, Martin Kotyrba:
Knowledge discovery in dynamic data using neural networks. Clust. Comput. 18(4): 1411-1421 (2015) - [j3]Martin Kotyrba, Eva Volná, Petr Bujok:
Unconventional modelling of complex system via cellular automata and differential evolution. Swarm Evol. Comput. 25: 52-62 (2015) - [c28]Eva Volná, Martin Kotyrba, Martin Zácek, Adam Barton:
Emergence Of An Autonomous Robot's Behaviour. ECMS 2015: 462-468 - [c27]Eva Volná, Martin Kotyrba, Vaclav Kocian:
Input Filters Implementing Diversity in Ensemble of Neural Networks. HAIS 2015: 307-318 - [c26]Robert Jarusek, Eva Volná, Martin Kotyrba:
Neural Network Approach to Image Steganography Techniques. MENDEL 2015: 317-327 - [c25]Jaroslav Zácek, Eva Volná, Michal Janosek:
Modular neural network in the cloud. SACI 2015: 553-557 - 2014
- [c24]Václav Zácek, Eva Volná, Jaroslav Zácek:
Neural Network Based Complex Visual Information Processing: Face Detection and Recognition. ANNIIP 2014: 53-60 - [c23]Robert Jarusek, Eva Volná, Alexej Kolcun, Martin Kotyrba:
Hybrid Intelligent System for Point Localization. CSOC 2014: 93-103 - [c22]Václav Zácek, Jaroslav Zácek, Eva Volná:
Face Extraction from Image with Weak Cascade Classifier. CSOC 2014: 495-505 - [c21]Eva Volná, Martin Kotyrba:
A Comparative Study To Evolutionary Algorithms. ECMS 2014: 340-345 - [c20]Martin Kotyrba, Eva Volná, Zuzana Komínková Oplatková:
Comparison Of Modern Clustering Algorithms For Two-Dimensional Data. ECMS 2014: 346-351 - [c19]Eva Volná, Vaclav Kocian, Martin Kotyrba:
Boosting of Neural Networks over MNIST Data. IJCCI (NCTA) 2014: 256-263 - 2013
- [j2]Eva Volná, Martin Kotyrba, Robert Jarusek:
Multi-classifier based on Elliott wave's recognition. Comput. Math. Appl. 66(2): 213-225 (2013) - [c18]Martin Kotyrba, Eva Volná, Michal Janosek, Hashim Habiballa, David Brazina:
Methodology For Elliott Waves Pattern Recognition. ECMS 2013: 349-354 - [c17]Hashim Habiballa, Eva Volná, Michal Janosek, Martin Kotyrba:
Modelling And Reasoning With Fuzzy Logic Redundant Knowledge Bases. ECMS 2013: 361-366 - [c16]Michal Janosek, Vaclav Kocian, Eva Volná, Martin Kotyrba, Hashim Habiballa:
Predator-Prey Simulation's Parameters And Leverage Points. ECMS 2013: 367-371 - [c15]Eva Volná, Martin Kotyrba:
Vision system for licence plate recognition based on neural networks. HIS 2013: 140-143 - [c14]Eva Volná, Vaclav Kocian, Michal Janosek, Hashim Habiballa, Vilém Novák:
Damaged Letter Recognition Methodology - A Comparison Study. IJCCI 2013: 535-541 - [c13]Michal Janosek, Václav Kocian, Eva Volná:
Complex System Simulation Parameters Settings Methodology. NOSTRADAMUS 2013: 413-422 - 2012
- [c12]Martin Kotyrba, Eva Volná, David Brazina, Robert Jarusek:
Elliott Waves Recognition Via Neural Networks. ECMS 2012: 361-366 - [c11]David Brazina, Martin Kotyrba, Eva Volná:
Simulation Of Surfaces Microroughness By Means Of Polygonal Representation. ECMS 2012: 367-372 - [c10]Eva Volná, Martin Kotyrba, Vaclav Kocian, Michal Janosek:
Cryptography Based On Neural Network. ECMS 2012: 386-391 - [c9]Eva Volná, Martin Kotyrba, Robert Jarusek:
Prediction by Means of Elliott Waves Recognition. NOSTRADAMUS 2012: 241-250 - [c8]Eva Volná, Michal Janosek, Martin Kotyrba, Vaclav Kocian:
Pattern Recognition Algorithm Optimization. NOSTRADAMUS 2012: 251-260 - [c7]Eva Volná, Michal Janosek, Vaclav Kocian, Martin Kotyrba:
Smart Time Series Prediction. SOCO 2012: 211-220 - 2011
- [c6]Martin Kotyrba, Zuzana Oplatková, Eva Volná, Roman Senkerik, Vaclav Kocian, Michal Janosek:
Time Series Pattern Recognition via SoftComputing. 3PGCIC 2011: 384-389 - 2010
- [c5]Eva Volná:
Automatic Modularization of Artificial Neural Networks. ANNIIP 2010: 23-32 - [i1]Eva Volná:
Neuroevolutionary optimization. CoRR abs/1004.3557 (2010)
2000 – 2009
- 2009
- [j1]Eva Volná:
Forming Evolutionary Design of Neural Networks with Different Nodes. Int. J. Comput. 8(1): 16-23 (2009) - 2007
- [c4]Eva Volná:
Forming neural networks design through evolution. ANNIIP 2007: 13-20 - [c3]Eva Volná:
Designing Modular Artificial Neural Network Through Evolution. ICANN (1) 2007: 299-308 - 2005
- [c2]Eva Volná:
Evolutionary Techniques for Neural Network Optimization . ANNIIP 2005: 3-11
1990 – 1999
- 1998
- [c1]Eva Volná:
The Problem of Network Design. NC 1998: 1030-1035
Coauthor Index
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