On Some Factors Influencing MLP Error Surface. - Miroslaw Kordos; Wlodzislaw Duch (ICAISC, 2004)

Neural Network Regression for LHF Process Optimization. - Miroslaw Kordos (ICONIP (2), 2008)

Variable step search algorithm for feedforward networks. - Miroslaw Kordos; Wlodzislaw Duch (Neurocomputing, 2008)

Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving. - Marcin Blachnik; Adam Bukowiec; Miroslaw Kordos; Jacek Biesiada (ICAISC (1), 2010)

Do We Need Whatever More Than k-NN? - Miroslaw Kordos; Marcin Blachnik; Dawid Strzempa (ICAISC (1), 2010)

A Hybrid System with Regression Trees in Steel-Making Process. - Miroslaw Kordos; Marcin Blachnik; Marcin Perzyk; Jacek Kozlowski; Orestes Bystrzycki; Mateusz Gródek; Adrian Byrdziak; Zenon Motyka (HAIS (1), 2011)

Temperature Prediction in Electric Arc Furnace with Neural Network Tree. - Miroslaw Kordos; Marcin Blachnik; Tadeusz Wieczorek (ICANN (2), 2011)

Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control. - Miroslaw Kordos; Marcin Blachnik; Tadeusz Wieczorek; Slawomir Golak (ICCCI (1), 2011)

Simplifying SVM with Weighted LVQ Algorithm. - Marcin Blachnik; Miroslaw Kordos (IDEAL, 2011)

Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process. - Miroslaw Kordos; Marcin Blachnik; Tadeusz Wieczorek (IDEAL, 2011)

A New Approach to Neural Network Based Stock Trading Strategy. - Miroslaw Kordos; Andrzej Cwiok (IDEAL, 2011)

Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees. - Marcin Blachnik; Miroslaw Kordos (HAIS (1), 2012)

Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System. - Miroslaw Kordos; Piotr Kania; Pawel Budzyna; Marcin Blachnik; Tadeusz Wieczorek; Slawomir Golak (HAIS (2), 2012)

Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy. - Miroslaw Kordos; Jerzy Piotrowski; Szymon Bialka; Marcin Blachnik; Slawomir Golak; Tadeusz Wieczorek (HAIS (1), 2012)

Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace. - Marcin Blachnik; Miroslaw Kordos; Tadeusz Wieczorek; Slawomir Golak (ICAISC (2), 2012)

Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure. - Marcin Blachnik; Miroslaw Kordos; Wlodzislaw Duch (ICANN (2), 2012)

Instance Selection with Neural Networks for Regression Problems. - Miroslaw Kordos; Marcin Blachnik (ICANN (2), 2012)

Instance Selection in Logical Rule Extraction for Regression Problems. - Miroslaw Kordos; Szymon Bialka; Marcin Blachnik (ICAISC (2), 2013)

Improving MLP Neural Network Performance by Noise Reduction. - Miroslaw Kordos; Andrzej Rusiecki (TPNC, 2013)

Bagging of Instance Selection Algorithms. - Marcin Blachnik; Miroslaw Kordos (ICAISC (2), 2014)

Training Neural Networks on Noisy Data. - Andrzej Rusiecki; Miroslaw Kordos; Tomasz Kaminski; Krzysztof Gren (ICAISC (1), 2014)

Weight Update Sequence in MLP Networks. - Miroslaw Kordos; Andrzej Rusiecki; Tomasz Kaminski; Krzysztof Gren (IDEAL, 2014)

Noise reduction in regression tasks with distance, instance, attribute and density weighting. - Miroslaw Kordos; Andrzej Rusiecki; Marcin Blachnik (CYBCONF, 2015)

Instance Selection Optimization for Neural Network Training. - Miroslaw Kordos (ICAISC (1), 2016)

Fusion of instance selection methods in regression tasks. - Álvar Arnaiz-González; Marcin Blachnik; Miroslaw Kordos; César Ignacio García-Osorio (Inf. Fusion, 2016)

Reducing noise impact on MLP training - Techniques and algorithms to provide noise-robustness in MLP network training. - Miroslaw Kordos; Andrzej Rusiecki (Soft Comput., 2016)

Optimization of Evolutionary Instance Selection. - Miroslaw Kordos (ICAISC (1), 2017)

Increasing speed of genetic algorithm-based instance selection. - Miroslaw Kordos; Aleksandra Klos-Witkowska (IDAACS, 2017)

Data Compression Measures for Meta-Learning Systems. - Marcin Blachnik; Miroslaw Kordos; Slawomir Golak (FedCSIS, 2018)

Obtaining Pareto Front in Instance Selection with Ensembles and Populations. - Miroslaw Kordos; Marcin Wydrzynski; Krystian Lapa (ICAISC (1), 2018)

Data Set Partitioning in Evolutionary Instance Selection. - Miroslaw Kordos; Lukasz Czepielik; Marcin Blachnik (IDEAL (1), 2018)

Multi-Objective Evolutionary Instance Selection for Regression Tasks. - Miroslaw Kordos; Krystian Lapa (Entropy, 2018)

Evolutionary prototype selection for multi-output regression. - Miroslaw Kordos; Álvar Arnaiz-González; César García-Osorio (Neurocomputing, 2019)

Fast Image Index for Database Management Engines. - Rafal Grycuk; Patryk Najgebauer; Miroslaw Kordos; Magdalena M. Scherer; Alina Marchlewska (J. Artif. Intell. Soft Comput. Res., 2020)

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. - Marcin Korytkowski; Roman Senkerik; Magdalena M. Scherer; Rafal A. Angryk; Miroslaw Kordos; Agnieszka Siwocha (J. Artif. Intell. Soft Comput. Res., 2020)

Fast Solar Image Retrieval and Classification by Fuzzy Rules. - Rafal Grycuk; Marcin Korytkowski; Rafal Scherer; Pawel Drozda; Wei Wei 006; Miroslaw Kordos (FUZZ-IEEE, 2022)

Local Search in Selected Crossover Operators. - Miroslaw Kordos; Rafal Kulka; Tomasz Steblik; Rafal Scherer (ICCS (3), 2022)

Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems. - Miroslaw Kordos; Marcin Blachnik; Rafal Scherer (Inf. Sci., 2022)

Prototype-Pairs Decomposition for Extracting Simple and Meaningful Rules. - Marcin Blachnik; Miroslaw Kordos; Daniel Dabrowski (ICCS (4), 2025)