Zuzana Komínková Oplatková

发表

Steganalysis Of PQ Algorithm By Means Of Neural Networks

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2011, ECMS.

Steganography Detection by Means of Neural Networks

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

On the parameter settings for the chaotic dynamics embedded differential evolution

Michal Pluhacek, Roman Senkerik, Zuzana Komínková Oplatková, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Comparison Of Modern Clustering Algorithms For Two-Dimensional Data

Eva Volná, Martin Kotyrba, Zuzana Komínková Oplatková, 2014, ECMS.

Application of Analytic Programming for Evolutionary Synthesis of Control Law - Introduction of Two Approaches

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2012, Advances in Intelligent Modelling and Simulation.

Evolutionary Chaos Controller Synthesis for Stabilizing Chaotic Hénon Maps

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2011, Complex Syst..

Simulation Of Chaotic Dynamics For Chaos Based Optimization - An Extended Study

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, ECMS.

Comparison of Differential Evolution and SOMA in the task of chaos control optimization - Extended study: Complex target CF

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2009, 2009 IEEE Congress on Evolutionary Computation.

Design Of Advanced Targeting Cost Function For Evolutionary Optimization Of Chaos Control

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2009, ECMS.

Performance of Chaos Driven Differential Evolution on Shifted Benchmark Functions Set

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, SOCO-CISIS-ICEUTE.

Comparative State-of-the-Art Survey of Classical Fuzzy Set and Intuitionistic Fuzzy Sets in Multi-Criteria Decision Making

Zuzana Komínková Oplatková, Eric Afful-Dadzie, Luis Antonio Beltrán-Prieto, 2017, Int. J. Fuzzy Syst..

On The Simulation Of Complex Chaotic Dynamics For Chaos Based Optimization

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, ECMS.

Analytic Programming In The Task Of Evolutionary Synthesis Of The Robust Controller For Selected Discrete Chaotic Systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, ECMS.

Evolutionary Synthesis of Complex Structures - Pseudo Neural Networks for the Task of Iris Dataset Classification

Roman Senkerik, Zuzana Komínková Oplatková, 2013, NOSTRADAMUS.

Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, Comput. Math. Appl..

Investigation on artificial ant using analytic programming

Ivan Zelinka, Zuzana Komínková Oplatková, I. Zelinka, 2006, GECCO '06.

Evolutionary blackbox control of Logistic equation

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2009, 2009 European Control Conference (ECC).

Evolutionary Synthesis Of Control Law For Higher Periodic Orbits Of Chaotic Logistic Equation

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2011, ECMS.

MIMO Pseudo Neural Networks for Iris Data Classification

Roman Senkerik, Zuzana Komínková Oplatková, 2014, CSOC.

Simulation Of Time-Continuous Chaotic UEDA Oscillator As The Generator Of Random Numbers For Heuristic

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, ECMS.

On the Tuning of Complex Dynamics Embedded into Differential Evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, ICAISC.

Assessing Commercial Viability of Technology Start-up Businesses in a Government Venture Capital under Intuitionistic Fuzzy Environment

Zuzana Komínková Oplatková, Eric Afful-Dadzie, Anthony Afful-Dadzie, 2017, Int. J. Fuzzy Syst..

Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates

Zuzana Komínková Oplatková, Tomás Turecek, Antonio Rodríguez-Sánchez, 2020, Frontiers in Robotics and AI.

Optimization Of Neural Network Inputs By Feature Selection Methods

Michal Procházka, Zuzana Komínková Oplatková, Jiri Holoska, 2011, ECMS.

Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2013, Math. Comput. Model..

Investigation on the Differential Evolution driven by selected six chaotic systems in the task of reactor geometry optimization

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, 2013 IEEE Congress on Evolutionary Computation.

Maximizing Vector Distances for Purpose of Searching - A Study of Differential Evolution Suitability

Roman Jasek, Zuzana Komínková Oplatková, Martin Kolarík, 2014, IBICA.

Using Artificial Neural Network For The Kick Techniques Classification - An Initial Study

Michal Pluhacek, Dora Lapkova, Zuzana Komínková Oplatková, 2014, ECMS.

Randomization of Individuals Selection in Differential Evolution

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, MENDEL.

Time Series Pattern Recognition via SoftComputing

Roman Senkerik, Eva Volná, Martin Kotyrba, 2011, 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Optimization of the Batch Reactor by Means of Chaos Driven Differential Evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2012, SOCO.

A Review On The Simulation of Social Networks Inside Heuristic Algorithms

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, ECMS.

Iris Data Classification By Means Of Pseudo Neural Networks Based On Evolutionary Symbolic Regression

Roman Senkerik, Zuzana Komínková Oplatková, Z. Oplatková, 2013, ECMS.

Analysis Of Direct Punch Force In Professional Defence

Dora Lapkova, Zuzana Komínková Oplatková, Milan Adamek, 2015, ECMS.

Performance comparison of differential evolution driving analytic programming for regression

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Performance Comparison of differential Evolution and SOMA on Chaos Control Optimization Problems

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2012, Int. J. Bifurc. Chaos.

Evolutionary and Meta-evolutionary Approach for the Optimization of Chaos Control

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2012, ICAISC.

Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Sequential Pattern Mining Using IDLists

Bay Vo, Zuzana Komínková Oplatková, Nguyen Thi Thuy Loan, 2020, ICCCI.

Utilization Of Analytic Programming For The Stabilization Of High Order Oscillations Of Chaotic Hénon Map

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2012, ECMS.

Utilization of the Discrete Chaotic Systems as the Pseudo Random Number Generators

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, CSOC.

Border Strategies Of The Bison Algorithm

Michal Pluhacek, Roman Senkerik, Zuzana Komínková Oplatková, 2019, ECMS.

Symbolic regression and evolutionary computation in setting an optimal trajectory for a robot

Ivan Zelinka, Zuzana Komínková Oplatková, 2007, 18th International Workshop on Database and Expert Systems Applications (DEXA 2007).

SPAM Detection: Naïve Bayesian Classification and RPN Expression-Based LGP Approaches Compared

Zuzana Komínková Oplatková, Clyde Meli, Z. Oplatková, 2016, CSOC.

EPMAS: Evolutionary Programming Multi-Agent Systems

Ivan Zelinka, Juan C. Burguillo, Ana Peleteiro-Ramallo, 2010, ECMS.

Preliminary investigation on relations between complex networks and evolutionary algorithms dynamics

Roman Senkerik, Ivan Zelinka, Václav Snásel, 2010, 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM).

Utilization of Motion Animation for Analysis of Basic Self-defense Techniques

Lukas Kralik, Dora Lapkova, Zuzana Komínková Oplatková, 2016, CSOC.

Santa Fe Trail for Artificial Ant with Analytic Programming and Three Evolutionary Algorithms

Ivan Zelinka, Zuzana Komínková Oplatková, I. Zelinka, 2007, First Asia International Conference on Modelling & Simulation (AMS'07).

Cost Functions Based on Different Types of Distance Measurements for Pseudo Neural Network Synthesis

Roman Senkerik, Zuzana Komínková Oplatková, 2015, MENDEL.

On the behavior and performance of chaos driven PSO algorithm with inertia weight

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, Comput. Math. Appl..

Pseudo Neural Networks For Iris Data Classification

Roman Senkerik, Zuzana Komínková Oplatková, Ales Kominek, 2014, ECMS.

Comparison of Chaos Driven PSO and Differential Evolution on the Selected PID Tuning Problem

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, CISIM.

An Initial Study on the New Adaptive Approach for Multi-chaotic Differential Evolution

Michal Pluhacek, Roman Senkerik, Zuzana Komínková Oplatková, 2015, CSOC.

Multi-chaotic Differential Evolution: A Preliminary Study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, ICAISC.

Application of Neural Networks for the Classification of Gender from Kick Force Profile - A Small Scale Study

Michal Pluhacek, Roman Senkerik, Dora Lapkova, 2014, IBICA.

Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, ICAISC.

Simulation Of The Differential Evolution Performance Dependency On Switching Of The Driving Chaotic Systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, ECMS.

Evolutionary Synthesis of Control Rules by Means of Analytic Programming for the Purpose of High Order Oscillations Stabilization of Evolutionary Synthesized Chaotic System

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2012, NOSTRADAMUS.

Spam Detection Using Linear Genetic Programming

Vitezslav Nezval, Zuzana Komínková Oplatková, Victor Buttigieg, 2017, MENDEL.

Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery

Roman Senkerik, Adam Viktorin, Zuzana Komínková Oplatková, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

Differential Evolution and Chaotic Series

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

Comparison of Three Novelty Approaches to Constants (Ks) Handling in Analytic Programming Powered by SHADE

Roman Senkerik, Adam Viktorin, Zuzana Komínková Oplatková, 2017, MENDEL.

Detection of Steganography Inserted by OutGuess and Steghide by Means of Neural Networks

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2009, 2009 Third Asia International Conference on Modelling & Simulation.

Study on the Time Development of Complex Network for Metaheuristic

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, CSOC.

On the Applicability of Random and the Best Solution Driven Metaheuristics for Analytic Programming and Time Series Regression

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, CSOS.

Prediction Of Raw Material Batches For The Production Of Clinker By Means Of Artificial Neural Networks -Analysis Of Behaviour

Roman Senkerik, Zuzana Komínková Oplatková, 2015, ECMS.

Evolutionary Design of Chaos Control in 1D

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2010, Evolutionary Algorithms and Chaotic Systems.

Pseudo Neural Networks Via Analytic Programming With Direct Coding Of Constant Estimation

Roman Senkerik, Adam Viktorin, Zuzana Komínková Oplatková, 2018, ECMS.

Towards Human Cell Simulation

Roman Senkerik, Adam Viktorin, Tomas Kadavy, 2019, High-Performance Modelling and Simulation for Big Data Applications.

Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, NOSTRADAMUS.

Performance Testing of Multi-Chaotic Differential Evolution Concept on Shifted Benchmark Functions

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, HAIS.

Hybridization of Adaptivity and Chaotic Dynamics for Differential Evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, MENDEL.

Application of Evolutionary Techniques for Optimization of Chaos Control - Introduction of Three Approaches

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2013, Handbook of Optimization.

Elliott waves classification by means of neural and pseudo neural networks

Roman Senkerik, Eva Volná, Martin Kotyrba, 2018, Soft Comput..

Chaos driven Differential Evolution in the task of chaos control optimization

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2010, IEEE Congress on Evolutionary Computation.

Tracking progress of African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation method

Zuzana Komínková Oplatková, Eric Afful-Dadzie, Stephen Nabareseh, 2014, Kybernetes.

Dogface Detection and Localization of Dogface's Landmarks

Zuzana Komínková Oplatková, Tomás Turecek, Alzbeta Vlachynska, 2018, CSOS.

Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, Soft Computing.

Synthesis Of Control Law For Chaotic Henon System Preliminary Study

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2010, ECMS.

Analytical Programming With Extended Individuals

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, ECMS.

Different Approaches For Constant Estimation In Analytic Programming

Roman Senkerik, Adam Viktorin, Tomás Urbánek, 2017, ECMS.

Evolutionary Techniques for Deterministic Chaos Control

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2008, EIAT/IETA.

On Convergence of Evolutionary Algorithms Powered by Non-random Generators

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, ICAISC.

Classification with Pseudo Neural Networks Based on Evolutionary Symbolic Regression

Roman Senkerik, Zuzana Komínková Oplatková, Z. Oplatková, 2011, 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Patterns and Trends in the Concept of Green Economy: A Text Mining Approach

Zuzana Komínková Oplatková, Eric Afful-Dadzie, Stephen Nabareseh, 2014, CSOC.

Higher Dimensional Cost Function for Synthesis of Evolutionary Algorithms by means of Symbolic Regression

Ivan Zelinka, Zuzana Komínková Oplatková, I. Zelinka, 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).

Optimization of Artificial Neural Network Structure in the Case of Steganalysis

Roman Senkerik, Roman Jasek, Michal Procházka, 2013, Handbook of Optimization.

Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2012, NOSTRADAMUS.

A Novel Approach for Mining Closed Clickstream Patterns

Adrianna Kozierkiewicz-Hetmanska, Unil Yun, Huy M. Huynh, 2021, Cybern. Syst..

A Study of Direct and Indirect Encoding in Phenotype-Genotype Relationships

Vitezslav Nezval, Zuzana Komínková Oplatková, Victor Buttigieg, 2021, ICAISC.

Decision science: a multi-criteria decision framework for enhancing an electoral voting system

Roman Jasek, Michael Adu Kwarteng, Abdul Bashiru Jibril, 2021, Systems Science & Control Engineering.

An efficient parallel algorithm for mining weighted clickstream patterns

Philippe Fournier-Viger, Unil Yun, Huy M. Huynh, 2021, Inf. Sci..

A fuzzy TOPSIS framework for selecting fragile states for support facility

Zuzana Komínková Oplatková, Eric Afful-Dadzie, Stephen Nabareseh, 2015 .