Miroslaw Kordos

Orcid: 0000-0002-2031-7561

According to our database1, Miroslaw Kordos authored at least 38 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems.
Inf. Sci., 2022

Local Search in Selected Crossover Operators.
Proceedings of the Computational Science - ICCS 2022, 2022

Fast Solar Image Retrieval and Classification by Fuzzy Rules.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2020
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic.
J. Artif. Intell. Soft Comput. Res., 2020

Fast Image Index for Database Management Engines.
J. Artif. Intell. Soft Comput. Res., 2020

2019
Evolutionary prototype selection for multi-output regression.
Neurocomputing, 2019

2018
Multi-Objective Evolutionary Instance Selection for Regression Tasks.
Entropy, 2018

Data Set Partitioning in Evolutionary Instance Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Obtaining Pareto Front in Instance Selection with Ensembles and Populations.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Data Compression Measures for Meta-Learning Systems.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017
Increasing speed of genetic algorithm-based instance selection.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

Optimization of Evolutionary Instance Selection.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
Reducing noise impact on MLP training - Techniques and algorithms to provide noise-robustness in MLP network training.
Soft Comput., 2016

Fusion of instance selection methods in regression tasks.
Inf. Fusion, 2016

Instance Selection Optimization for Neural Network Training.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Noise reduction in regression tasks with distance, instance, attribute and density weighting.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014
Weight Update Sequence in MLP Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Training Neural Networks on Noisy Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Bagging of Instance Selection Algorithms.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Improving MLP Neural Network Performance by Noise Reduction.
Proceedings of the Theory and Practice of Natural Computing, 2013

Instance Selection in Logical Rule Extraction for Regression Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Instance Selection with Neural Networks for Regression Problems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
A New Approach to Neural Network Based Stock Trading Strategy.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Simplifying SVM with Weighted LVQ Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

Temperature Prediction in Electric Arc Furnace with Neural Network Tree.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

A Hybrid System with Regression Trees in Steel-Making Process.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
Do We Need Whatever More Than k-NN?
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008
Variable step search algorithm for feedforward networks.
Neurocomputing, 2008

Neural Network Regression for LHF Process Optimization.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2004
On Some Factors Influencing MLP Error Surface.
Proceedings of the Artificial Intelligence and Soft Computing, 2004


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