Miroslaw Kordos

发表

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

Marcin Blachnik, Andrzej Rusiecki, Miroslaw Kordos, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Instance Selection in Logical Rule Extraction for Regression Problems

Marcin Blachnik, Miroslaw Kordos, Szymon Bialka, 2013, ICAISC.

Instance Selection with Neural Networks for Regression Problems

Marcin Blachnik, Miroslaw Kordos, M. Blachnik, 2012, ICANN.

Increasing speed of genetic algorithm-based instance selection

Aleksandra Klos-Witkowska, Miroslaw Kordos, A. Kłos-Witkowska, 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Variable step search algorithm for feedforward networks

Wlodzislaw Duch, Miroslaw Kordos, Wlodzislaw Duch, 2008, Neurocomputing.

Fast Image Index for Database Management Engines

Patryk Najgebauer, Rafał Grycuk, Miroslaw Kordos, 2020, J. Artif. Intell. Soft Comput. Res..

Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure

Wlodzislaw Duch, Marcin Blachnik, Miroslaw Kordos, 2012, ICANN.

Simplifying SVM with Weighted LVQ Algorithm

Marcin Blachnik, Miroslaw Kordos, M. Blachnik, 2011, IDEAL.

Fusion of instance selection methods in regression tasks

Marcin Blachnik, Álvar Arnaiz-González, Miroslaw Kordos, 2016, Inf. Fusion.

Neural Network Regression for LHF Process Optimization

Miroslaw Kordos, M. Kordos, 2009, ICONIP.

Improving MLP Neural Network Performance by Noise Reduction

Andrzej Rusiecki, Miroslaw Kordos, A. Rusiecki, 2013, TPNC.

Do We Need Whatever More Than k-NN?

Marcin Blachnik, Miroslaw Kordos, Dawid Strzempa, 2010, ICAISC.

Reducing noise impact on MLP training

Andrzej Rusiecki, Miroslaw Kordos, A. Rusiecki, 2016, Soft Comput..

Weight Update Sequence in MLP Networks

Andrzej Rusiecki, Miroslaw Kordos, Tomasz Kaminski, 2014, IDEAL.

Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control

Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, 2011, ICCCI.

Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace

Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, 2012, ICAISC.

On Some Factors Influencing MLP Error Surface

Wlodzislaw Duch, Miroslaw Kordos, Wlodzislaw Duch, 2004, ICAISC.

Optimization of Evolutionary Instance Selection

Miroslaw Kordos, 2017, ICAISC.

Temperature Prediction in Electric Arc Furnace with Neural Network Tree

Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, 2011, ICANN.

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

Marcin Blachnik, Miroslaw Kordos, 2012, HAIS.

Multi-Objective Evolutionary Instance Selection for Regression Tasks

Krystian Lapa, Miroslaw Kordos, M. Kordos, 2018, Entropy.

Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process

Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, 2011, IDEAL.

Instance Selection Optimization for Neural Network Training

Miroslaw Kordos, 2016, ICAISC.

A Hybrid System with Regression Trees in Steel-Making Process

Marcin Blachnik, Marcin Perzyk, Miroslaw Kordos, 2011, HAIS.

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic

Roman Senkerik, Marcin Korytkowski, Rafal A. Angryk, 2019, J. Artif. Intell. Soft Comput. Res..

A New Approach to Neural Network Based Stock Trading Strategy

Miroslaw Kordos, Andrzej Cwiok, M. Kordos, 2011, IDEAL.

Obtaining Pareto Front in Instance Selection with Ensembles and Populations

Krystian Lapa, Miroslaw Kordos, Marcin Wydrzynski, 2018, ICAISC.

Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System

Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, 2012, HAIS.

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

Marcin Blachnik, Miroslaw Kordos, Jacek Biesiada, 2010, ICAISC.

Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy

Marcin Blachnik, Jerzy Piotrowski, Miroslaw Kordos, 2012, HAIS.

Data Compression Measures for Meta-Learning Systems

Marcin Blachnik, Miroslaw Kordos, Slawomir Golak, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

Bagging of Instance Selection Algorithms

Marcin Blachnik, Miroslaw Kordos, 2014, ICAISC.

Training Neural Networks on Noisy Data

Andrzej Rusiecki, Miroslaw Kordos, Tomasz Kaminski, 2014, ICAISC.

Data Set Partitioning in Evolutionary Instance Selection

Marcin Blachnik, Miroslaw Kordos, Lukasz Czepielik, 2018, IDEAL.