Fuzzy Rule-Based Systems Derived from Similarity to Prototypes. - Wlodzislaw Duch; Marcin Blachnik (ICONIP, 2004)

Comparison of feature ranking methods based on information entropy. - Wlodzislaw Duch; Tadeusz Wieczorek; Jacek Biesiada; Marcin Blachnik (IJCNN, 2004)

Selection of Prototype Rules: Context Searching Via Clustering. - Marcin Blachnik; Wlodzislaw Duch; Tadeusz Wieczorek (ICAISC, 2006)

Prototype-Based Threshold Rules. - Marcin Blachnik; Wlodzislaw Duch (ICONIP (3), 2006)

Building a Model for Time Reduction of Steel Scrap Meltdown in the Electric Arc Furnace (EAF): General Strategy with a Comparison of Feature Selection Methods. - Tadeusz Wieczorek; Marcin Blachnik; Krystian Maczka (ICAISC, 2008)

Building Localized Basis Function Networks Using Context Dependent Clustering. - Marcin Blachnik; Wlodzislaw Duch (ICANN (1), 2008)

Image Classification by Histogram Features Created with Learning Vector Quantization. - Marcin Blachnik; Jorma Laaksonen (ICANN (1), 2008)

Prototype Rules from SVM. - Marcin Blachnik; Wlodzislaw Duch (Rule Extraction from Support Vector Machines, 2008)

Comparison of Various Feature Selection Methods in Application to Prototype Best Rules. - Marcin Blachnik (Computer Recognition Systems 3, 2009)

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)

A Model for Temperature Prediction of Melted Steel in the Electric Arc Furnace (EAF). - Marcin Blachnik; Krystian Maczka; Tadeusz Wieczorek (ICAISC (2), 2010)

Infosel++: Information Based Feature Selection C++ Library. - Adam Kachel; Jacek Biesiada; Marcin Blachnik; Wlodzislaw Duch (ICAISC (1), 2010)

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

Improving Accuracy of LVQ Algorithm by Instance Weighting. - Marcin Blachnik; Wlodzislaw Duch (ICANN (3), 2010)

Identification of Liquid State of Scrap in Electric Arc Furnace by the Use of Computational Intelligence Methods. - Marcin Blachnik; Tadeusz Wieczorek; Krystian Maczka; Grzegorz Kopec (ICONIP (2), 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)

LVQ algorithm with instance weighting for generation of prototype-based rules. - Marcin Blachnik; Wlodzislaw Duch (Neural Networks, 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)

Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition. - Marcin Blachnik; Przemyslaw Glomb (ICAISC (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)

Feature Ranking Methods Used for Selection of Prototypes. - Marcin Blachnik; Wlodzislaw Duch; Tomasz Maszczyk (ICANN (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)

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

Ensembles of Instance Selection Methods based on Feature Subset. - Marcin Blachnik (KES, 2014)

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

Reducing Time Complexity of SVM Model by LVQ Data Compression. - Marcin Blachnik (ICAISC (1), 2015)

On the Relation Between kNN Accuracy and Dataset Compression Level. - Marcin Blachnik (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)

Instance Selection for Classifier Performance Estimation in Meta Learning. - Marcin Blachnik (Entropy, 2017)

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

New Architecture of Correlated Weights Neural Network for Global Image Transformations. - Slawomir Golak; Anna Jama; Marcin Blachnik; Tadeusz Wieczorek (ICANN (2), 2018)

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

Ensembles of instance selection methods: A comparative study. - Marcin Blachnik (Int. J. Appl. Math. Comput. Sci., 2019)

Predicting Presence of Amphibian Species Using Features Obtained from GIS and Satellite Images. - Marcin Blachnik; Marek Soltysiak; Dominika Dabrowska (ISPRS Int. J. Geo Inf., 2019)

Estimating the Performance Indicators of Promotion Efficiency in FMCG Retail. - Marcin Blachnik; Joanna Henzel (ICONIP (2), 2020)

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

Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. - Marcin Blachnik; Piotr Sciegienka; Daniel Dabrowski (IDEAL, 2023)

On the Development of a Digital Twin for Underwater UXO Detection Using Magnetometer-Based Data in Application for the Training Set Generation for Machine Learning Models. - Marcin Blachnik; Roman Przylucki; Slawomir Golak; Piotr Sciegienka; Tadeusz Wieczorek (Sensors, 2023)

On the Development of an Acoustic Image Dataset for Unexploded Ordnance Classification Using Front-Looking Sonar and Transfer Learning Methods. - Piotr Sciegienka; Marcin Blachnik (Sensors, 2024)

Multiple-Meta-Instance Selection. Combining the Properties of Many Instance-Selection Methods. - Marcin Blachnik; Piotr Cieplinski; Daniel Dabrowski (ICCS (2), 2025)

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

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features. - Marcin Blachnik; Piotr Cieplinski (CoRR, 2025)