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Miroslaw Kordos
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2020 – today
- 2022
- [j8]Miroslaw Kordos, Marcin Blachnik, Rafal Scherer:
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems. Inf. Sci. 587: 23-40 (2022) - [c30]Rafal Grycuk, Marcin Korytkowski, Rafal Scherer, Pawel Drozda
, Wei Wei, Miroslaw Kordos:
Fast Solar Image Retrieval and Classification by Fuzzy Rules. FUZZ-IEEE 2022: 1-7 - [c29]Miroslaw Kordos, Rafal Kulka, Tomasz Steblik, Rafal Scherer:
Local Search in Selected Crossover Operators. ICCS (3) 2022: 369-382 - 2020
- [j7]Marcin Korytkowski
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. J. Artif. Intell. Soft Comput. Res. 10(1): 57-69 (2020) - [j6]Rafal Grycuk
Fast Image Index for Database Management Engines. J. Artif. Intell. Soft Comput. Res. 10(2): 113-123 (2020)
2010 – 2019
- 2019
- [j5]Miroslaw Kordos
Evolutionary prototype selection for multi-output regression. Neurocomputing 358: 309-320 (2019) - 2018
- [j4]Miroslaw Kordos
Multi-Objective Evolutionary Instance Selection for Regression Tasks. Entropy 20(10): 746 (2018) - [c28]Marcin Blachnik
Data Compression Measures for Meta-Learning Systems. FedCSIS 2018: 25-28 - [c27]Miroslaw Kordos
Obtaining Pareto Front in Instance Selection with Ensembles and Populations. ICAISC (1) 2018: 438-448 - [c26]Miroslaw Kordos
Data Set Partitioning in Evolutionary Instance Selection. IDEAL (1) 2018: 631-641 - 2017
- [c25]Miroslaw Kordos
Optimization of Evolutionary Instance Selection. ICAISC (1) 2017: 359-369 - [c24]Miroslaw Kordos
Increasing speed of genetic algorithm-based instance selection. IDAACS 2017: 590-595 - 2016
- [j3]Álvar Arnaiz-González
Fusion of instance selection methods in regression tasks. Inf. Fusion 30: 69-79 (2016) - [j2]Miroslaw Kordos
Reducing noise impact on MLP training - Techniques and algorithms to provide noise-robustness in MLP network training. Soft Comput. 20(1): 49-65 (2016) - [c23]Miroslaw Kordos:
Instance Selection Optimization for Neural Network Training. ICAISC (1) 2016: 610-620 - 2015
- [c22]Miroslaw Kordos, Andrzej Rusiecki
Noise reduction in regression tasks with distance, instance, attribute and density weighting. CYBCONF 2015: 73-78 - 2014
- [c21]Marcin Blachnik
Bagging of Instance Selection Algorithms. ICAISC (2) 2014: 40-51 - [c20]Andrzej Rusiecki
Training Neural Networks on Noisy Data. ICAISC (1) 2014: 131-142 - [c19]Miroslaw Kordos, Andrzej Rusiecki
Weight Update Sequence in MLP Networks. IDEAL 2014: 266-274 - 2013
- [c18]Miroslaw Kordos, Szymon Bialka, Marcin Blachnik
Instance Selection in Logical Rule Extraction for Regression Problems. ICAISC (2) 2013: 167-175 - [c17]Miroslaw Kordos, Andrzej Rusiecki
Improving MLP Neural Network Performance by Noise Reduction. TPNC 2013: 133-144 - 2012
- [c16]Miroslaw Kordos, Piotr Kania, Pawel Budzyna, Marcin Blachnik
Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System. HAIS (2) 2012: 36-45 - [c15]Marcin Blachnik
Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees. HAIS (1) 2012: 288-297 - [c14]Miroslaw Kordos, Jerzy Piotrowski, Szymon Bialka, Marcin Blachnik
Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy. HAIS (1) 2012: 409-420 - [c13]Marcin Blachnik
Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace. ICAISC (2) 2012: 539-547 - [c12]Marcin Blachnik
Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure. ICANN (2) 2012: 255-262 - [c11]Miroslaw Kordos, Marcin Blachnik
Instance Selection with Neural Networks for Regression Problems. ICANN (2) 2012: 263-270 - 2011
- [c10]Miroslaw Kordos, Marcin Blachnik
A Hybrid System with Regression Trees in Steel-Making Process. HAIS (1) 2011: 222-230 - [c9]Miroslaw Kordos, Marcin Blachnik
Temperature Prediction in Electric Arc Furnace with Neural Network Tree. ICANN (2) 2011: 71-78 - [c8]Miroslaw Kordos, Marcin Blachnik
Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control. ICCCI (1) 2011: 42-51 - [c7]Marcin Blachnik
Simplifying SVM with Weighted LVQ Algorithm. IDEAL 2011: 212-219 - [c6]Miroslaw Kordos, Marcin Blachnik
Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process. IDEAL 2011: 369-376 - [c5]Miroslaw Kordos, Andrzej Cwiok:
A New Approach to Neural Network Based Stock Trading Strategy. IDEAL 2011: 429-436 - 2010
- [c4]Marcin Blachnik
Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving. ICAISC (1) 2010: 289-298 - [c3]Miroslaw Kordos, Marcin Blachnik
Do We Need Whatever More Than k-NN? ICAISC (1) 2010: 414-421
2000 – 2009
- 2008
- [j1]Miroslaw Kordos
Variable step search algorithm for feedforward networks. Neurocomputing 71(13-15): 2470-2480 (2008) - [c2]Miroslaw Kordos:
Neural Network Regression for LHF Process Optimization. ICONIP (2) 2008: 453-460 - 2004
- [c1]Miroslaw Kordos, Wlodzislaw Duch:
On Some Factors Influencing MLP Error Surface. ICAISC 2004: 217-222
Coauthor Index
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