Marcin Blachnik

Sensors, September, 2024

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.

[BibT_eX]

[DOI]

Sensors, August, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rafal Scherer

Inf. Sci., 2022

2020

Estimating the Performance Indicators of Promotion Efficiency in FMCG Retail.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Marek Soltysiak

Dominika Dabrowska

ISPRS Int. J. Geo Inf., 2019

Ensembles of instance selection methods: A comparative study.

[BibT_eX]

[DOI]

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

2018

Data Set Partitioning in Evolutionary Instance Selection.

[BibT_eX]

[DOI]

Lukasz Czepielik

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

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

[BibT_eX]

[DOI]

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

Data Compression Measures for Meta-Learning Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Entropy, 2017

2016

Fusion of instance selection methods in regression tasks.

[BibT_eX]

[DOI]

Álvar Arnaiz-González

César Ignacio García-Osorio

Inf. Fusion, 2016

On the Relation Between kNN Accuracy and Dataset Compression Level.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Reducing Time Complexity of SVM Model by LVQ Data Compression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2015

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

[BibT_eX]

[DOI]

Andrzej Rusiecki

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

2014

Ensembles of Instance Selection Methods based on Feature Subset.

[BibT_eX]

[DOI]

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

Bagging of Instance Selection Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013

Instance Selection in Logical Rule Extraction for Regression Problems.

[BibT_eX]

[DOI]

Szymon Bialka

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

Instance Selection with Neural Networks for Regression Problems.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Feature Ranking Methods Used for Selection of Prototypes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Przemyslaw Glomb

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2011

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

[BibT_eX]

[DOI]

Neural Networks, 2011

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

[BibT_eX]

[DOI]

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

Simplifying SVM with Weighted LVQ Algorithm.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Temperature Prediction in Electric Arc Furnace with Neural Network Tree.

[BibT_eX]

[DOI]

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

A Hybrid System with Regression Trees in Steel-Making Process.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Improving Accuracy of LVQ Algorithm by Instance Weighting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Do We Need Whatever More Than k-NN?

[BibT_eX]

[DOI]

Dawid Strzempa

Proceedings of the Artificial Intelligence and Soft Computing, 2010

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2010

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

[BibT_eX]

[DOI]

Krystian Maczka

Proceedings of the Artifical Intelligence and Soft Computing, 2010

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2010

2009

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

[BibT_eX]

[DOI]

Proceedings of the Computer Recognition Systems 3, 2009

2008

Prototype Rules from SVM.

[BibT_eX]

[DOI]

Proceedings of the Rule Extraction from Support Vector Machines, 2008

Image Classification by Histogram Features Created with Learning Vector Quantization.

[BibT_eX]

[DOI]

Jorma Laaksonen

Proceedings of the Artificial Neural Networks, 2008

Building Localized Basis Function Networks Using Context Dependent Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Krystian Maczka

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2006

Prototype-Based Threshold Rules.

[BibT_eX]

[DOI]