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Marcin Blachnik, PhD - Publications

Affiliations: 
2007- Department of Industrial Informatics Silesian University of Technology 
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33 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Kordos M, Boryczko J, Blachnik M, Golak S. Optimization of Warehouse Operations with Genetic Algorithms Applied Sciences. 10: 4817. DOI: 10.3390/App10144817  0.636
2020 Blachnik M, Kordos M. Comparison of Instance Selection and Construction Methods with Various Classifiers Applied Sciences. 10: 3933. DOI: 10.3390/App10113933  0.673
2019 Blachnik M, Sołtysiak M, Dąbrowska D. Predicting Presence of Amphibian Species Using Features Obtained from GIS and Satellite Images Isprs International Journal of Geo-Information. 8: 123. DOI: 10.3390/Ijgi8030123  0.335
2019 Blachnik M. Ensembles of instance selection methods: A comparative study International Journal of Applied Mathematics and Computer Science. 29: 151-168. DOI: 10.2478/Amcs-2019-0012  0.4
2017 Blachnik M. Instance Selection for Classifier Performance Estimation in Meta Learning Entropy. 19: 583. DOI: 10.3390/E19110583  0.351
2016 Arnaiz-González Á, Blachnik M, Kordos M, García-Osorio C. Fusion of instance selection methods in regression tasks Information Fusion. 30: 69-79. DOI: 10.1016/J.Inffus.2015.12.002  0.685
2015 Kordos M, Rusiecki A, Blachnik M. Noise reduction in regression tasks with distance, instance, attribute and density weighting Proceedings - 2015 Ieee 2nd International Conference On Cybernetics, Cybconf 2015. 73-78. DOI: 10.1109/CYBConf.2015.7175909  0.598
2014 Blachnik M. Ensembles of instance selection methods based on feature subset Procedia Computer Science. 35: 388-396. DOI: 10.1016/J.Procs.2014.08.119  0.395
2014 Blachnik M, Kordos M. Bagging of instance selection algorithms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8468: 40-51. DOI: 10.1007/978-3-319-07176-3_4  0.645
2013 Kordos M, Białka S, Blachnik M. Instance selection in logical rule extraction for regression problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7895: 167-175. DOI: 10.1007/978-3-642-38610-7_16  0.651
2012 Blachnik M, Duch W, Maszczyk T. Feature ranking methods used for selection of prototypes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7553: 296-304. DOI: 10.1007/978-3-642-33266-1_37  0.537
2012 Kordos M, Blachnik M. Instance selection with neural networks for regression problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7553: 263-270. DOI: 10.1007/978-3-642-33266-1_33  0.655
2012 Blachnik M, Kordos M, Duch W. Extraction of prototype-based threshold rules using neural training procedure Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7553: 255-262. DOI: 10.1007/978-3-642-33266-1_32  0.693
2012 Blachnik M, Kordos M, Wieczorek T, Golak S. Selecting representative prototypes for prediction the oxygen activity in electric arc furnace Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7268: 539-547. DOI: 10.1007/978-3-642-29350-4-64  0.62
2012 Kordos M, Piotrowski J, Bialka S, Blachnik M, Golak S, Wieczorek T. Evolutionary optimized forest of regression trees: Application in metallurgy Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7208: 409-420. DOI: 10.1007/978-3-642-28942-2_37  0.623
2012 Blachnik M, Kordos M. Computational complexity reduction and interpretability improvement of distance-based decision trees Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7208: 288-297. DOI: 10.1007/978-3-642-28942-2_26  0.626
2012 Kordos M, Kania P, Budzyna P, Blachnik M, Wieczorek T, Golak S. Combining the advantages of neural networks and decision trees for regression problems in a steel temperature prediction system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7209: 36-45. DOI: 10.1007/978-3-642-28931-6_4  0.662
2011 Blachnik M, Duch W. LVQ algorithm with instance weighting for generation of prototype-based rules. Neural Networks : the Official Journal of the International Neural Network Society. 24: 824-30. PMID 21726977 DOI: 10.1016/J.Neunet.2011.05.013  0.615
2011 Kordos M, Blachnik M, Wieczorek T, Golak S. Neural network committees optimized with evolutionary methods for steel temperature control Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6922: 42-51. DOI: 10.1007/978-3-642-23935-9_4  0.645
2011 Kordos M, Blachnik M, Wieczorek T. Evolutionary optimization of regression model ensembles in steel-making process Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6936: 369-376. DOI: 10.1007/978-3-642-23878-9_44  0.631
2011 Blachnik M, Kordos M. Simplifying SVM with weighted LVQ algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6936: 212-219. DOI: 10.1007/978-3-642-23878-9_26  0.63
2011 Kordos M, Blachnik M, Wieczorek T. Temperature prediction in electric arc furnace with neural network tree Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 71-78. DOI: 10.1007/978-3-642-21738-8_10  0.642
2011 Kordos M, Blachnik M, Perzyk M, Kozłowski J, Bystrzycki O, Gródek M, Byrdziak A, Motyka Z. A hybrid system with regression trees in steel-making process Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6678: 222-230. DOI: 10.1007/978-3-642-21219-2-29  0.63
2010 Blachnik M, Duch W. Improving accuracy of LVQ algorithm by instance weighting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6354: 257-266. DOI: 10.1007/978-3-642-15825-4_31  0.519
2010 Kordos M, Blachnik M, Strzempa D. Do we need whatever more than k-NN? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 414-421. DOI: 10.1007/978-3-642-13208-7_52  0.582
2010 Kachel A, Biesiada J, Blachnik M, Duch W. Infosel++: Information based feature selection C++ Library Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 388-396. DOI: 10.1007/978-3-642-13208-7_49  0.512
2010 Blachnik M, Bukowiec A, Kordos M, Biesiada J. Information theory vs. correlation based feature ranking methods in application to metallurgical problem solving Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 289-298. DOI: 10.1007/978-3-642-13208-7_37  0.633
2008 Blachnik M, Duch W. Building localized basis function networks using context dependent clustering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 482-491. DOI: 10.1007/978-3-540-87536-9_50  0.482
2008 Blachnik M, Duch W. Prototype rules from SVM Studies in Computational Intelligence. 80: 163-182. DOI: 10.1007/978-3-540-75390-2_7  0.539
2006 Blachnik M, Duch W, Wieczorek T. Selection of prototype rules: Context searching via clustering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4029: 573-582. DOI: 10.1007/11785231_60  0.511
2006 Blachnik M, Duch W. Prototype-based threshold rules Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4234: 1028-1037.  0.524
2004 Duch W, Wieczorek T, Biesiada J, Blachnik M. Comparison of feature ranking methods based on information entropy Ieee International Conference On Neural Networks - Conference Proceedings. 2: 1415-1419. DOI: 10.1109/IJCNN.2004.1380157  0.514
2004 Duch W, Blachnik M. Fuzzy rule-based systems derived from similarity to prototypes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3316: 912-917.  0.492
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