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Jaroslaw Kurek
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2020 – today
- 2024
- [j14]Michal Bukowski
, Jaroslaw Kurek
, Bartosz Swiderski
, Albina Jegorowa
:
Custom Loss Functions in XGBoost Algorithm for Enhanced Critical Error Mitigation in Drill-Wear Analysis of Melamine-Faced Chipboard. Sensors 24(4): 1092 (2024) - 2023
- [j13]Jaroslaw Kurek
, Artur Krupa
, Izabella Antoniuk
, Arlan Akhmet
, Ulan Abdiomar
, Michal Bukowski
, Karol Szymanowski
:
Improved Drill State Recognition during Milling Process Using Artificial Intelligence. Sensors 23(1): 448 (2023) - [j12]Izabella Antoniuk
, Jaroslaw Kurek
, Artur Krupa
, Grzegorz Wieczorek
, Michal Bukowski
, Michal Kruk
, Albina Jegorowa
:
Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear. Sensors 23(3): 1109 (2023) - [j11]Grzegorz Wieczorek, Sheikh Badar ud din Tahir
, Israr Akhter
, Jaroslaw Kurek
:
Vehicle Detection and Recognition Approach in Multi-Scale Traffic Monitoring System via Graph-Based Data Optimization. Sensors 23(3): 1731 (2023) - [j10]Agata Przybys-Malaczek
, Izabella Antoniuk
, Karol Szymanowski
, Michal Kruk
, Jaroslaw Kurek
:
Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process. Sensors 23(13): 5850 (2023) - [c5]Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek
, Cezary Chudobinski:
Random Ensemble of Extended CNN Structures for Medical Image Recognition. IWANN (1) 2023: 483-493 - 2022
- [j9]Bartosz Swiderski, Stanislaw Osowski
, Grzegorz Gwardys, Jaroslaw Kurek
, Monika Slowinska, Iwona Lugowska:
Random CNN structure: tool to increase generalization ability in deep learning. EURASIP J. Image Video Process. 2022(1): 3 (2022) - 2021
- [j8]Michal Bukowski
, Jaroslaw Kurek
, Izabella Antoniuk
, Albina Jegorowa
:
Decision Confidence Assessment in Multi-Class Classification. Sensors 21(11): 3834 (2021) - 2020
- [j7]Jaroslaw Kurek
, Izabella Antoniuk
, Bartosz Swiderski
, Albina Jegorowa
, Michal Bukowski
:
Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes. Sensors 20(23): 6978 (2020)
2010 – 2019
- 2019
- [c4]Bartlomiej Jacek Kubica, Jaroslaw Kurek:
A Parallel Method of Verifying Solutions for Systems of Two Nonlinear Equations. PPAM (2) 2019: 418-430 - 2018
- [j6]Sami Dhahbi
, Walid Barhoumi, Jaroslaw Kurek
, Bartosz Swiderski, Michal Kruk
, Ezzeddine Zagrouba
:
False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification. Comput. Methods Programs Biomed. 160: 75-83 (2018) - [c3]Bartosz Swiderski
, Michal Kruk
, Grzegorz Wieczorek
, Jaroslaw Kurek
, Katarzyna Smietanska
, Leszek J. Chmielewski
, Jaroslaw Górski
, Arkadiusz Orlowski
:
Feature Selection for 'Orange Skin' Type Surface Defect in Furniture Elements. ICAISC (2) 2018: 81-91 - 2017
- [j5]Bartosz Swiderski
, Stanislaw Osowski
, Jaroslaw Kurek
, Michal Kruk
, Iwona Lugowska, Piotr Rutkowski
, Walid Barhoumi:
Novel methods of image description and ensemble of classifiers in application to mammogram analysis. Expert Syst. Appl. 81: 67-78 (2017) - [c2]Michal Kruk
, Bartosz Swiderski
, Katarzyna Smietanska
, Jaroslaw Kurek
, Leszek J. Chmielewski
, Jaroslaw Górski, Arkadiusz Orlowski
:
Detection of 'Orange Skin' Type Surface Defects in Furniture Elements with the Use of Textural Features. CISIM 2017: 402-411 - 2015
- [j4]Michal Kruk
, Bartosz Swiderski
, Stanislaw Osowski
, Jaroslaw Kurek
, Monika Slowinska, Irena Walecka
:
Melanoma recognition using extended set of descriptors and classifiers. EURASIP J. Image Video Process. 2015: 43 (2015) - [j3]Bartosz Swiderski
, Stanislaw Osowski
, Michal Kruk
, Jaroslaw Kurek
:
Texture characterization based on the Kolmogorov-Smirnov distance. Expert Syst. Appl. 42(1): 503-509 (2015) - 2012
- [j2]Bartosz Swiderski
, Jaroslaw Kurek
, Stanislaw Osowski
:
Multistage classification by using logistic regression and neural networks for assessment of financial condition of company. Decis. Support Syst. 52(2): 539-547 (2012) - 2010
- [j1]Jaroslaw Kurek
, Stanislaw Osowski
:
Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor. Neural Comput. Appl. 19(4): 557-564 (2010)
2000 – 2009
- 2008
- [c1]Jaroslaw Kurek
, Stanislaw Osowski
:
Support Vector Machine for diagnosis of the bars of cage inductance motor. ICECS 2008: 1022-1025
Coauthor Index
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last updated on 2024-05-08 21:45 CEST by the dblp team
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