Jacek Kluska

According to our database, Jacek Kluska authored at least 28 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Version [1.0.3] - [CACP: Classification Algorithms Comparison Pipeline].

Sylwester Czmil, Jacek Kluska, Anna Czmil

SoftwareX, 2024

Model reference adaptive controller with interpretable fuzzy rules for linear MIMO systems.

Jacek Kluska, Krzysztof Wiktorowicz

Inf. Sci., 2024

An empirical study of a simple incremental classifier based on vector quantization and adaptive resonance theory.

Sylwester Czmil, Jacek Kluska, Anna Czmil

Int. J. Appl. Math. Comput. Sci., 2024

2023

GPR: A Python implementation of an extremely simple classifier based on fuzzy logic and gene expression programming.

Anna Czmil, Jacek Kluska, Sylwester Czmil

SoftwareX, May, 2023

2022

CACP: Classification Algorithms Comparison Pipeline.

Sylwester Czmil, Jacek Kluska, Anna Czmil

SoftwareX, 2022

2021

Extremely simple classifier based on fuzzy logic and gene expression programming.

Jacek Kluska, Michal Madera

Inf. Sci., 2021

FPGA-Embedded Anomaly Detection System for Milling Process.

Tomasz Zabinski, Zbigniew Hajduk, Jacek Kluska, Leslaw Gniewek

IEEE Access, 2021

2020

PID-Like Adaptive Fuzzy Controller Design Based on Absolute Stability Criterion.

Jacek Kluska, Tomasz Zabinski

IEEE Trans. Fuzzy Syst., 2020

Adaptive fuzzy control of state-feedback time-delay systems with uncertain parameters.

Jacek Kluska

Inf. Sci., 2020

Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem.

Maciej Kusy, Roman Zajdel, Jacek Kluska, Tomasz Zabinski

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis.

Roman Zajdel, Maciej Kusy, Jacek Kluska, Tomasz Zabinski

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2017

Assessment of prediction ability for reduced probabilistic neural network in data classification problems.

Maciej Kusy, Jacek Kluska

Soft Comput., 2017

Industrial Platform for Rapid Prototyping of Intelligent Diagnostic Systems.

Tomasz Zabinski, Tomasz Maczka, Jacek Kluska

Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017

2015

CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods.

Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Piotr Gierlak, Robert Hanus, Slawomir Prucnal, Jaroslaw Sep

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Selected Applications of P1-TS Fuzzy Rule-Based Systems.

Jacek Kluska

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014

Failures Prediction in the Cold Forging Process Using Machine Learning Methods.

Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Zbigniew Hajduk, Slawomir Prucnal

Proceedings of the Artificial Intelligence and Soft Computing, 2014

The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment.

Jacek Kluska, Maciej Kusy, Bogdan Obrzut

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013

Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients.

Maciej Kusy, Bogdan Obrzut, Jacek Kluska

Medical Biol. Eng. Comput., 2013

Probabilistic Neural Network Structure Reduction for Medical Data Classification.

Maciej Kusy, Jacek Kluska

Proceedings of the Artificial Intelligence and Soft Computing, 2013

Hardware Implementation of P1-TS Fuzzy Rule-Based Systems on FPGA.

Jacek Kluska, Zbigniew Hajduk

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

Prediction of Radical Hysterectomy Complications for Cervical Cancer Using Computational Intelligence Methods.

Jacek Kluska, Maciej Kusy, Bogdan Obrzut

Proceedings of the Artificial Intelligence and Soft Computing, 2012

2009

Analytical Methods in Fuzzy Modeling and Control

Jacek Kluska

Studies in Fuzziness and Soft Computing 241, Springer, ISBN: 978-3-540-89926-6, 2009

2008

TS Fuzzy Rule-Based Systems with Polynomial Membership Functions.

Jacek Kluska

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2006

Transformation Lemma on Analytical Modeling Via Takagi-Sugeno Fuzzy System and Its Applications.

Jacek Kluska

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2004

Hardware implementation of fuzzy Petri net as a controller.

Leslaw Gniewek, Jacek Kluska

IEEE Trans. Syst. Man Cybern. Part B, 2004

Digital Implementation of Fuzzy Petri Net Based on Asynchronous Fuzzy RS Flip-Flop.

Jacek Kluska, Zbigniew Hajduk

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Hardware implementation of a fuzzy Petri net based on VLSI digital circuits.

Jacek Kluska, Zbigniew Hajduk

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

1998

Family of fuzzy J-K flip-flops based on bounded product, bounded sum and complementation.

Leslaw Gniewek, Jacek Kluska

IEEE Trans. Syst. Man Cybern. Part B, 1998