Jaroslaw Kurek

According to our database, Jaroslaw Kurek authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Custom Loss Functions in XGBoost Algorithm for Enhanced Critical Error Mitigation in Drill-Wear Analysis of Melamine-Faced Chipboard.

Michal Bukowski, Jaroslaw Kurek, Bartosz Swiderski, Albina Jegorowa

Sensors, February, 2024

Multiple input CNN architecture for tool state recognition in the milling process based on time series signals.

Michal Bukowski, Izabella Antoniuk, Karol Szymanowski, Artur Krupa, Jaroslaw Kurek

Oper. Res. Decis., 2024

2023

Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process.

Agata Przybys-Malaczek, Izabella Antoniuk, Karol Szymanowski, Michal Kruk, Jaroslaw Kurek

Sensors, July, 2023

Vehicle Detection and Recognition Approach in Multi-Scale Traffic Monitoring System via Graph-Based Data Optimization.

Grzegorz Wieczorek, Sheikh Badar ud din Tahir, Israr Akhter, Jaroslaw Kurek

Sensors, February, 2023

Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear.

Izabella Antoniuk, Jaroslaw Kurek, Artur Krupa, Grzegorz Wieczorek, Michal Bukowski, Michal Kruk, Albina Jegorowa

Sensors, February, 2023

Improved Drill State Recognition during Milling Process Using Artificial Intelligence.

Jaroslaw Kurek, Artur Krupa, Izabella Antoniuk, Arlan Akhmet, Ulan Abdiomar, Michal Bukowski, Karol Szymanowski

Sensors, 2023

Random Ensemble of Extended CNN Structures for Medical Image Recognition.

Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Cezary Chudobinski

Proceedings of the Advances in Computational Intelligence, 2023

2022

Random CNN structure: tool to increase generalization ability in deep learning.

Bartosz Swiderski, Stanislaw Osowski, Grzegorz Gwardys, Jaroslaw Kurek, Monika Slowinska, Iwona Lugowska

EURASIP J. Image Video Process., 2022

2021

Decision Confidence Assessment in Multi-Class Classification.

Michal Bukowski, Jaroslaw Kurek, Izabella Antoniuk, Albina Jegorowa

Sensors, 2021

2020

Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes.

Jaroslaw Kurek, Izabella Antoniuk, Bartosz Swiderski, Albina Jegorowa, Michal Bukowski

Sensors, 2020

2019

A Parallel Method of Verifying Solutions for Systems of Two Nonlinear Equations.

Bartlomiej Jacek Kubica, Jaroslaw Kurek

Proceedings of the Parallel Processing and Applied Mathematics, 2019

2018

False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification.

Sami Dhahbi, Walid Barhoumi, Jaroslaw Kurek, Bartosz Swiderski, Michal Kruk, Ezzeddine Zagrouba

Comput. Methods Programs Biomed., 2018

Feature Selection for 'Orange Skin' Type Surface Defect in Furniture Elements.

Bartosz Swiderski, Michal Kruk, Grzegorz Wieczorek, Jaroslaw Kurek, Katarzyna Smietanska, Leszek J. Chmielewski, Jaroslaw Górski, Arkadiusz Orlowski

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Novel methods of image description and ensemble of classifiers in application to mammogram analysis.

Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Michal Kruk, Iwona Lugowska, Piotr Rutkowski, Walid Barhoumi

Expert Syst. Appl., 2017

Detection of 'Orange Skin' Type Surface Defects in Furniture Elements with the Use of Textural Features.

Michal Kruk, Bartosz Swiderski, Katarzyna Smietanska, Jaroslaw Kurek, Leszek J. Chmielewski, Jaroslaw Górski, Arkadiusz Orlowski

Proceedings of the Computer Information Systems and Industrial Management, 2017

2015

Texture characterization based on the Kolmogorov-Smirnov distance.

Bartosz Swiderski, Stanislaw Osowski, Michal Kruk, Jaroslaw Kurek

Expert Syst. Appl., 2015

Melanoma recognition using extended set of descriptors and classifiers.

Michal Kruk, Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Monika Slowinska, Irena Walecka

EURASIP J. Image Video Process., 2015

2012

Multistage classification by using logistic regression and neural networks for assessment of financial condition of company.

Bartosz Swiderski, Jaroslaw Kurek, Stanislaw Osowski

Decis. Support Syst., 2012

2010

Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor.

Jaroslaw Kurek, Stanislaw Osowski

Neural Comput. Appl., 2010

2008

Support Vector Machine for diagnosis of the bars of cage inductance motor.

Jaroslaw Kurek, Stanislaw Osowski

Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008