Miroslaw Kordos

39 papers B 1C 5Misc 1Journal 8Unranked 24
YearRankTypeTitle / Venue / Authors
2025 — conf
Prototype-Pairs Decomposition for Extracting Simple and Meaningful Rules.
ICCS (4)
Marcin Blachnik, Miroslaw Kordos, Daniel Dabrowski
2022 B conf
Fast Solar Image Retrieval and Classification by Fuzzy Rules.
FUZZ-IEEE
Rafal Grycuk, Marcin Korytkowski, Rafal Scherer, Pawel Drozda, Wei Wei, Miroslaw Kordos
2022 J jnl
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems.
Inf. Sci.
Miroslaw Kordos, Marcin Blachnik, Rafal Scherer
2022 — conf
Local Search in Selected Crossover Operators.
ICCS (3)
Miroslaw Kordos, Rafal Kulka, Tomasz Steblik, Rafal Scherer
2020 J jnl
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic.
J. Artif. Intell. Soft Comput. Res.
Marcin Korytkowski, Roman Senkerik, Magdalena M. Scherer, Rafal A. Angryk, Miroslaw Kordos, Agnieszka Siwocha
2020 J jnl
Fast Image Index for Database Management Engines.
J. Artif. Intell. Soft Comput. Res.
Rafal Grycuk, Patryk Najgebauer, Miroslaw Kordos, Magdalena M. Scherer, Alina Marchlewska
2019 J jnl
Evolutionary prototype selection for multi-output regression.
Neurocomputing
Miroslaw Kordos, Álvar Arnaiz-González, César García-Osorio
2018 C conf
Data Compression Measures for Meta-Learning Systems.
FedCSIS
Marcin Blachnik, Miroslaw Kordos, Slawomir Golak
2018 — conf
Data Set Partitioning in Evolutionary Instance Selection.
IDEAL (1)
Miroslaw Kordos, Lukasz Czepielik, Marcin Blachnik
2018 J jnl
Multi-Objective Evolutionary Instance Selection for Regression Tasks.
Entropy
Miroslaw Kordos, Krystian Lapa
2018 — conf
Obtaining Pareto Front in Instance Selection with Ensembles and Populations.
ICAISC (1)
Miroslaw Kordos, Marcin Wydrzynski, Krystian Lapa
2017 — conf
Increasing speed of genetic algorithm-based instance selection.
IDAACS
Miroslaw Kordos, Aleksandra Klos-Witkowska
2017 — conf
Optimization of Evolutionary Instance Selection.
ICAISC (1)
Miroslaw Kordos
2016 J jnl
Fusion of instance selection methods in regression tasks.
Inf. Fusion
Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio
2016 — conf
Instance Selection Optimization for Neural Network Training.
ICAISC (1)
Miroslaw Kordos
2016 J jnl
Reducing noise impact on MLP training - Techniques and algorithms to provide noise-robustness in MLP network training.
Soft Comput.
Miroslaw Kordos, Andrzej Rusiecki
2015 — conf
Noise reduction in regression tasks with distance, instance, attribute and density weighting.
CYBCONF
Miroslaw Kordos, Andrzej Rusiecki, Marcin Blachnik
2014 — conf
Bagging of Instance Selection Algorithms.
ICAISC (2)
Marcin Blachnik, Miroslaw Kordos
2014 — conf
Training Neural Networks on Noisy Data.
ICAISC (1)
Andrzej Rusiecki, Miroslaw Kordos, Tomasz Kaminski, Krzysztof Gren
2014 C conf
Weight Update Sequence in MLP Networks.
IDEAL
Miroslaw Kordos, Andrzej Rusiecki, Tomasz Kaminski, Krzysztof Gren
2013 — conf
Improving MLP Neural Network Performance by Noise Reduction.
TPNC
Miroslaw Kordos, Andrzej Rusiecki
2013 — conf
Instance Selection in Logical Rule Extraction for Regression Problems.
ICAISC (2)
Miroslaw Kordos, Szymon Bialka, Marcin Blachnik
2012 — conf
Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System.
HAIS (2)
Miroslaw Kordos, Piotr Kania, Pawel Budzyna, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak
2012 — conf
Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees.
HAIS (1)
Marcin Blachnik, Miroslaw Kordos
2012 — conf
Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy.
HAIS (1)
Miroslaw Kordos, Jerzy Piotrowski, Szymon Bialka, Marcin Blachnik, Slawomir Golak, Tadeusz Wieczorek
2012 — conf
Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure.
ICANN (2)
Marcin Blachnik, Miroslaw Kordos, Wlodzislaw Duch
2012 — conf
Instance Selection with Neural Networks for Regression Problems.
ICANN (2)
Miroslaw Kordos, Marcin Blachnik
2012 — conf
Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace.
ICAISC (2)
Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, Slawomir Golak
2011 — conf
A Hybrid System with Regression Trees in Steel-Making Process.
HAIS (1)
Miroslaw Kordos, Marcin Blachnik, Marcin Perzyk, Jacek Kozlowski, Orestes Bystrzycki, Mateusz Gródek, Adrian Byrdziak, Zenon Motyka
2011 C conf
A New Approach to Neural Network Based Stock Trading Strategy.
IDEAL
Miroslaw Kordos, Andrzej Cwiok
2011 C conf
Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process.
IDEAL
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek
2011 — conf
Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control.
ICCCI (1)
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak
2011 C conf
Simplifying SVM with Weighted LVQ Algorithm.
IDEAL
Marcin Blachnik, Miroslaw Kordos
2011 — conf
Temperature Prediction in Electric Arc Furnace with Neural Network Tree.
ICANN (2)
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek
2010 — conf
Do We Need Whatever More Than k-NN?
ICAISC (1)
Miroslaw Kordos, Marcin Blachnik, Dawid Strzempa
2010 — conf
Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving.
ICAISC (1)
Marcin Blachnik, Adam Bukowiec, Miroslaw Kordos, Jacek Biesiada
2008 — conf
Neural Network Regression for LHF Process Optimization.
ICONIP (2)
Miroslaw Kordos
2008 J jnl
Variable step search algorithm for feedforward networks.
Neurocomputing
Miroslaw Kordos, Wlodzislaw Duch
2004 Misc conf
On Some Factors Influencing MLP Error Surface.
ICAISC
Miroslaw Kordos, Wlodzislaw Duch