Marcin Blachnik
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Comparison of feature ranking methods based on information entropy
W Duch, T Wieczorek, J Biesiada, M Blachnik
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
Do we need whatever more than k-NN?
M Kordos, M Blachnik, D Strzempa
Artificial Intelligence and Soft Computing: 10th International Conference …, 2010
Fusion of instance selection methods in regression tasks
Á Arnaiz-González, M Blachnik, M Kordos, C García-Osorio
Information Fusion 30, 69-79, 2016
Fuzzy rule-based systems derived from similarity to prototypes
W Duch, M Blachnik
International Conference on Neural Information Processing, 912-917, 2004
Instance selection with neural networks for regression problems
M Kordos, M Blachnik
Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012
LVQ algorithm with instance weighting for generation of prototype-based rules
M Blachnik, W Duch
Neural Networks 24 (8), 824-830, 2011
Ensembles of instance selection methods based on feature subset
M Blachnik
Procedia Computer Science 35, 388-396, 2014
Optimization of warehouse operations with genetic algorithms
M Kordos, J Boryczko, M Blachnik, S Golak
Applied Sciences 10 (14), 4817, 2020
Infosel++: Information Based Feature Selection C++ Library
A Kachel, J Biesiada, M Blachnik, W Duch
Artificial Intelligence and Soft Computing: 10th International Conference …, 2010
Bagging of instance selection algorithms
M Blachnik, M Kordos
International Conference on Artificial Intelligence and Soft Computing, 40-51, 2014
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
T Wieczorek, M Blachnik, K Ma̧czka
Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008
Comparison of various feature selection methods in application to prototype best rules
M Blachnik
Computer Recognition Systems 3, 257-264, 2009
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems
M Kordos, M Blachnik, R Scherer
Information Sciences 587, 23-40, 2022
Instance selection in logical rule extraction for regression problems
M Kordos, S Białka, M Blachnik
Artificial Intelligence and Soft Computing: 12th International Conference …, 2013
Image classification by histogram features created with learning vector quantization
M Blachnik, J Laaksonen
International Conference on Artificial Neural Networks, 827-836, 2008
Predicting presence of amphibian species using features obtained from gis and satellite images
M Blachnik, M Sołtysiak, D Dąbrowska
ISPRS International Journal of Geo-Information 8 (3), 123, 2019
Ensembles of instance selection methods: A comparative study
M Blachnik
International Journal of Applied Mathematics and Computer Science 29 (1), 2019
Instance selection for classifier performance estimation in meta learning
M Blachnik
Entropy 19 (11), 583, 2017
Feature Selection for Supervised Classification: A Kolmogorov-Smirnov Class Correlation-Based Filter
M Blachnik, W Duch, A Kachel, J Biesiada
AIMeth, Symposium On Methods Of Artificial Intelligence. Gliwice, Poland (10 …, 2009
Selection of prototype rules: context searching via clustering
M Blachnik, W Duch, T Wieczorek
International Conference on Artificial Intelligence and Soft Computing, 573-582, 2006
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