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ORCIDMarcin Blachnik
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2020 – today
- 2024
[j8]Piotr Sciegienka
, Marcin Blachnik:
On the Development of an Acoustic Image Dataset for Unexploded Ordnance Classification Using Front-Looking Sonar and Transfer Learning Methods. Sensors 24(18): 5946 (2024)- 2023
- [j7]Marcin Blachnik, Roman Przylucki, Slawomir Golak, Piotr Sciegienka, Tadeusz Wieczorek:
On the Development of a Digital Twin for Underwater UXO Detection Using Magnetometer-Based Data in Application for the Training Set Generation for Machine Learning Models. Sensors 23(15): 6806 (2023) - [c36]Marcin Blachnik, Piotr Sciegienka, Daniel Dabrowski:
Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. IDEAL 2023: 442-447 - 2022
- [j6]Miroslaw Kordos, Marcin Blachnik, Rafal Scherer:
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems. Inf. Sci. 587: 23-40 (2022) - 2020
- [c35]Marcin Blachnik, Joanna Henzel:
Estimating the Performance Indicators of Promotion Efficiency in FMCG Retail. ICONIP (2) 2020: 320-332
2010 – 2019
- 2019
- [j5]Marcin Blachnik:
Ensembles of instance selection methods: A comparative study. Int. J. Appl. Math. Comput. Sci. 29(1): 151-168 (2019) - [j4]Marcin Blachnik, Marek Soltysiak, Dominika Dabrowska:
Predicting Presence of Amphibian Species Using Features Obtained from GIS and Satellite Images. ISPRS Int. J. Geo Inf. 8(3): 123 (2019) - 2018
- [c34]Marcin Blachnik, Miroslaw Kordos, Slawomir Golak:
Data Compression Measures for Meta-Learning Systems. FedCSIS 2018: 25-28 - [c33]Slawomir Golak, Anna Jama, Marcin Blachnik, Tadeusz Wieczorek:
New Architecture of Correlated Weights Neural Network for Global Image Transformations. ICANN (2) 2018: 56-65 - [c32]Miroslaw Kordos, Lukasz Czepielik, Marcin Blachnik:
Data Set Partitioning in Evolutionary Instance Selection. IDEAL (1) 2018: 631-641 - 2017
- [j3]Marcin Blachnik:
Instance Selection for Classifier Performance Estimation in Meta Learning. Entropy 19(11): 583 (2017) - 2016
- [j2]Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio:
Fusion of instance selection methods in regression tasks. Inf. Fusion 30: 69-79 (2016) - [c31]Marcin Blachnik:
On the Relation Between kNN Accuracy and Dataset Compression Level. ICAISC (1) 2016: 541-551 - 2015
- [c30]Miroslaw Kordos, Andrzej Rusiecki, Marcin Blachnik:
Noise reduction in regression tasks with distance, instance, attribute and density weighting. CYBCONF 2015: 73-78 - [c29]Marcin Blachnik:
Reducing Time Complexity of SVM Model by LVQ Data Compression. ICAISC (1) 2015: 687-695 - 2014
- [c28]Marcin Blachnik, Miroslaw Kordos:
Bagging of Instance Selection Algorithms. ICAISC (2) 2014: 40-51 - [c27]Marcin Blachnik:
Ensembles of Instance Selection Methods based on Feature Subset. KES 2014: 388-396 - 2013
- [c26]Miroslaw Kordos, Szymon Bialka, Marcin Blachnik:
Instance Selection in Logical Rule Extraction for Regression Problems. ICAISC (2) 2013: 167-175 - 2012
- [c25]Miroslaw Kordos, Piotr Kania, Pawel Budzyna, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak:
Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System. HAIS (2) 2012: 36-45 - [c24]Marcin Blachnik, Miroslaw Kordos:
Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees. HAIS (1) 2012: 288-297 - [c23]Miroslaw Kordos, Jerzy Piotrowski, Szymon Bialka, Marcin Blachnik, Slawomir Golak, Tadeusz Wieczorek:
Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy. HAIS (1) 2012: 409-420 - [c22]Marcin Blachnik, Przemyslaw Glomb:
Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition. ICAISC (1) 2012: 477-485 - [c21]Marcin Blachnik, Miroslaw Kordos, Tadeusz Wieczorek, Slawomir Golak:
Selecting Representative Prototypes for Prediction the Oxygen Activity in Electric Arc Furnace. ICAISC (2) 2012: 539-547 - [c20]Marcin Blachnik, Miroslaw Kordos, Wlodzislaw Duch:
Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure. ICANN (2) 2012: 255-262 - [c19]Miroslaw Kordos, Marcin Blachnik:
Instance Selection with Neural Networks for Regression Problems. ICANN (2) 2012: 263-270 - [c18]Marcin Blachnik, Wlodzislaw Duch, Tomasz Maszczyk:
Feature Ranking Methods Used for Selection of Prototypes. ICANN (2) 2012: 296-304 - 2011
- [j1]Marcin Blachnik, Wlodzislaw Duch:
LVQ algorithm with instance weighting for generation of prototype-based rules. Neural Networks 24(8): 824-830 (2011) - [c17]Miroslaw Kordos, Marcin Blachnik, Marcin Perzyk, Jacek Kozlowski, Orestes Bystrzycki, Mateusz Gródek, Adrian Byrdziak, Zenon Motyka:
A Hybrid System with Regression Trees in Steel-Making Process. HAIS (1) 2011: 222-230 - [c16]Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek:
Temperature Prediction in Electric Arc Furnace with Neural Network Tree. ICANN (2) 2011: 71-78 - [c15]Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak:
Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control. ICCCI (1) 2011: 42-51 - [c14]Marcin Blachnik, Miroslaw Kordos:
Simplifying SVM with Weighted LVQ Algorithm. IDEAL 2011: 212-219 - [c13]Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek:
Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process. IDEAL 2011: 369-376 - 2010
- [c12]Marcin Blachnik, Adam Bukowiec, Miroslaw Kordos, Jacek Biesiada:
Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving. ICAISC (1) 2010: 289-298 - [c11]Marcin Blachnik, Krystian Maczka, Tadeusz Wieczorek:
A Model for Temperature Prediction of Melted Steel in the Electric Arc Furnace (EAF). ICAISC (2) 2010: 371-378 - [c10]Adam Kachel, Jacek Biesiada, Marcin Blachnik, Wlodzislaw Duch:
Infosel++: Information Based Feature Selection C++ Library. ICAISC (1) 2010: 388-396 - [c9]Miroslaw Kordos, Marcin Blachnik, Dawid Strzempa:
Do We Need Whatever More Than k-NN? ICAISC (1) 2010: 414-421 - [c8]Marcin Blachnik, Wlodzislaw Duch:
Improving Accuracy of LVQ Algorithm by Instance Weighting. ICANN (3) 2010: 257-266 - [c7]Marcin Blachnik, Tadeusz Wieczorek, Krystian Maczka, Grzegorz Kopec:
Identification of Liquid State of Scrap in Electric Arc Furnace by the Use of Computational Intelligence Methods. ICONIP (2) 2010: 700-707
2000 – 2009
- 2009
- [p2]Marcin Blachnik:
Comparison of Various Feature Selection Methods in Application to Prototype Best Rules. Computer Recognition Systems 3 2009: 257-264 - 2008
- [c6]Tadeusz Wieczorek, Marcin Blachnik, Krystian Maczka:
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. ICAISC 2008: 1149-1159 - [c5]Marcin Blachnik, Wlodzislaw Duch:
Building Localized Basis Function Networks Using Context Dependent Clustering. ICANN (1) 2008: 482-491 - [c4]Marcin Blachnik, Jorma Laaksonen:
Image Classification by Histogram Features Created with Learning Vector Quantization. ICANN (1) 2008: 827-836 - [p1]Marcin Blachnik, Wlodzislaw Duch:
Prototype Rules from SVM. Rule Extraction from Support Vector Machines 2008: 163-182 - 2006
- [c3]Marcin Blachnik, Wlodzislaw Duch, Tadeusz Wieczorek:
Selection of Prototype Rules: Context Searching Via Clustering. ICAISC 2006: 573-582 - [c2]Marcin Blachnik, Wlodzislaw Duch:
Prototype-Based Threshold Rules. ICONIP (3) 2006: 1028-1037 - 2004
- [c1]Wlodzislaw Duch, Marcin Blachnik:
Fuzzy Rule-Based Systems Derived from Similarity to Prototypes. ICONIP 2004: 912-917
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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