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Mirosław Kordos, PhD - Publications

Affiliations: 
2009- Informatics University of Bielsko-Biała 
Area:
neural networks, machine learning, data mining
Website:
http://www.kordos.com/
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27 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  0.64
2020 Blachnik M, Kordos M. Comparison of Instance Selection and Construction Methods with Various Classifiers Applied Sciences. 10: 3933. DOI: 10.3390/App10113933  0.653
2019 Kordos M, Arnaiz-González Á, García-Osorio C. Evolutionary prototype selection for multi-output regression Neurocomputing. 358: 309-320. DOI: 10.1016/J.Neucom.2019.05.055  0.329
2018 Kordos M, Łapa K. Multi-Objective Evolutionary Instance Selection for Regression Tasks. Entropy (Basel, Switzerland). 20. PMID 33265835 DOI: 10.3390/E20100746  0.368
2017 Kordos M. Data Selection for Neural Networks Schedae Informaticae. 2016: 153164. DOI: 10.4467/20838476Si.16.012.6193  0.33
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  0.675
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  0.596
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  0.642
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  0.638
2012 Bosco EE, Kumar S, Marchioni F, Biesiada J, Kordos M, Szczur K, Meller J, Seibel W, Mizrahi A, Pick E, Filippi MD, Zheng Y. Rational design of small molecule inhibitors targeting the Rac GTPase-p67(phox) signaling axis in inflammation. Chemistry & Biology. 19: 228-42. PMID 22365606 DOI: 10.1016/J.Chembiol.2011.12.017  0.601
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  0.686
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  0.615
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  0.618
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  0.663
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  0.647
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  0.632
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  0.629
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  0.643
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  0.631
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 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  0.62
2008 Kordos M, Duch W. Variable step search algorithm for feedforward networks Neurocomputing. 71: 2470-2480. DOI: 10.1016/J.Neucom.2008.02.019  0.592
2004 Kordos M, Duch W. Variable step search algorithm for MLP training Proceedings of the Eighth Iasted International Conference On Artificial Intelligence and Soft Computing. 215-220.  0.523
2004 Kordos M, Duch W. On some factors influencing MLP error surface Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3070: 217-222.  0.442
2004 Kordos M, Duch W. A survey of factors influencing MLP error surface Control and Cybernetics. 33: 611-631.  0.445
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