Marcin Blachnik

According to our database, Marcin Blachnik authored at least 45 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 2023

Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data.

Marcin Blachnik, Piotr Sciegienka, Daniel Dabrowski

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022

Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems.

Miroslaw Kordos, Marcin Blachnik, Rafal Scherer

Inf. Sci., 2022

2020

Estimating the Performance Indicators of Promotion Efficiency in FMCG Retail.

Marcin Blachnik, Joanna Henzel

Proceedings of the Neural Information Processing - 27th International Conference, 2020

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

Ensembles of instance selection methods: A comparative study.

Marcin Blachnik

Int. J. Appl. Math. Comput. Sci., 2019

2018

Data Set Partitioning in Evolutionary Instance Selection.

Miroslaw Kordos, Lukasz Czepielik, Marcin Blachnik

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

New Architecture of Correlated Weights Neural Network for Global Image Transformations.

Slawomir Golak, Anna Jama, Marcin Blachnik, Tadeusz Wieczorek

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Data Compression Measures for Meta-Learning Systems.

Marcin Blachnik, Miroslaw Kordos, Slawomir Golak

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Instance Selection for Classifier Performance Estimation in Meta Learning.

Marcin Blachnik

Entropy, 2017

2016

Fusion of instance selection methods in regression tasks.

Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio

Inf. Fusion, 2016

On the Relation Between kNN Accuracy and Dataset Compression Level.

Marcin Blachnik

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Reducing Time Complexity of SVM Model by LVQ Data Compression.

Marcin Blachnik

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Noise reduction in regression tasks with distance, instance, attribute and density weighting.

Miroslaw Kordos, Andrzej Rusiecki, Marcin Blachnik

Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014

Ensembles of Instance Selection Methods based on Feature Subset.

Marcin Blachnik

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Bagging of Instance Selection Algorithms.

Marcin Blachnik, Miroslaw Kordos

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013

Instance Selection in Logical Rule Extraction for Regression Problems.

Miroslaw Kordos, Szymon Bialka, Marcin Blachnik

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

Instance Selection with Neural Networks for Regression Problems.

Miroslaw Kordos, Marcin Blachnik

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure.

Marcin Blachnik, Miroslaw Kordos, Wlodzislaw Duch

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Feature Ranking Methods Used for Selection of Prototypes.

Marcin Blachnik, Wlodzislaw Duch, Tomasz Maszczyk

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace.

Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, Slawomir Golak

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition.

Marcin Blachnik, Przemyslaw Glomb

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy.

Miroslaw Kordos, Jerzy Piotrowski, Szymon Bialka, Marcin Blachnik, Slawomir Golak, Tadeusz Wieczorek

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.

Miroslaw Kordos, Piotr Kania, Pawel Budzyna, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees.

Marcin Blachnik, Miroslaw Kordos

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011

LVQ algorithm with instance weighting for generation of prototype-based rules.

Marcin Blachnik, Wlodzislaw Duch

Neural Networks, 2011

Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process.

Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Simplifying SVM with Weighted LVQ Algorithm.

Marcin Blachnik, Miroslaw Kordos

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control.

Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

Temperature Prediction in Electric Arc Furnace with Neural Network Tree.

Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

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

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

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

Proceedings of the Neural Information Processing. Models and Applications, 2010

Improving Accuracy of LVQ Algorithm by Instance Weighting.

Marcin Blachnik, Wlodzislaw Duch

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Do We Need Whatever More Than k-NN?

Miroslaw Kordos, Marcin Blachnik, Dawid Strzempa

Proceedings of the Artificial Intelligence and Soft Computing, 2010

Infosel++: Information Based Feature Selection C++ Library.

Adam Kachel, Jacek Biesiada, Marcin Blachnik, Wlodzislaw Duch

Proceedings of the Artificial Intelligence and Soft Computing, 2010

A Model for Temperature Prediction of Melted Steel in the Electric Arc Furnace (EAF).

Marcin Blachnik, Krystian Maczka, Tadeusz Wieczorek

Proceedings of the Artifical Intelligence and Soft Computing, 2010

Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving.

Marcin Blachnik, Adam Bukowiec, Miroslaw Kordos, Jacek Biesiada

Proceedings of the Artificial Intelligence and Soft Computing, 2010

2009

Comparison of Various Feature Selection Methods in Application to Prototype Best Rules.

Marcin Blachnik

Proceedings of the Computer Recognition Systems 3, 2009

2008

Prototype Rules from SVM.

Marcin Blachnik, Wlodzislaw Duch

Proceedings of the Rule Extraction from Support Vector Machines, 2008

Image Classification by Histogram Features Created with Learning Vector Quantization.

Marcin Blachnik, Jorma Laaksonen

Proceedings of the Artificial Neural Networks, 2008

Building Localized Basis Function Networks Using Context Dependent Clustering.

Marcin Blachnik, Wlodzislaw Duch

Proceedings of the Artificial Neural Networks, 2008

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

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2006

Prototype-Based Threshold Rules.

Marcin Blachnik, Wlodzislaw Duch

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Selection of Prototype Rules: Context Searching Via Clustering.

Marcin Blachnik, Wlodzislaw Duch, Tadeusz Wieczorek

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2004

Fuzzy Rule-Based Systems Derived from Similarity to Prototypes.

Wlodzislaw Duch, Marcin Blachnik

Proceedings of the Neural Information Processing, 11th International Conference, 2004