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Jacek Kluska
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2020 – today
- 2024
- [j13]Sylwester Czmil, Jacek Kluska, Anna Czmil:
An empirical study of a simple incremental classifier based on vector quantization and adaptive resonance theory. Int. J. Appl. Math. Comput. Sci. 34(1) (2024) - [j12]Jacek Kluska
, Krzysztof Wiktorowicz:
Model reference adaptive controller with interpretable fuzzy rules for linear MIMO systems. Inf. Sci. 680: 121189 (2024) - [j11]Sylwester Czmil
, Jacek Kluska, Anna Czmil:
Version [1.0.3] - [CACP: Classification Algorithms Comparison Pipeline]. SoftwareX 28: 101938 (2024) - 2023
- [j10]Anna Czmil
, Jacek Kluska, Sylwester Czmil
:
GPR: A Python implementation of an extremely simple classifier based on fuzzy logic and gene expression programming. SoftwareX 22: 101362 (2023) - 2022
- [j9]Sylwester Czmil
, Jacek Kluska
, Anna Czmil
:
CACP: Classification Algorithms Comparison Pipeline. SoftwareX 19: 101134 (2022) - 2021
- [j8]Tomasz Zabinski
, Zbigniew Hajduk
, Jacek Kluska
, Leslaw Gniewek
:
FPGA-Embedded Anomaly Detection System for Milling Process. IEEE Access 9: 124059-124069 (2021) - [j7]Jacek Kluska
, Michal Madera
:
Extremely simple classifier based on fuzzy logic and gene expression programming. Inf. Sci. 571: 560-579 (2021) - 2020
- [j6]Jacek Kluska
:
Adaptive fuzzy control of state-feedback time-delay systems with uncertain parameters. Inf. Sci. 540: 202-220 (2020) - [j5]Jacek Kluska
, Tomasz Zabinski
:
PID-Like Adaptive Fuzzy Controller Design Based on Absolute Stability Criterion. IEEE Trans. Fuzzy Syst. 28(3): 523-533 (2020) - [c14]Roman Zajdel
, Maciej Kusy
, Jacek Kluska
, Tomasz Zabinski
:
Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis. ICAISC (1) 2020: 280-291 - [c13]Maciej Kusy, Roman Zajdel, Jacek Kluska
, Tomasz Zabinski:
Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. IJCNN 2020: 1-8
2010 – 2019
- 2017
- [j4]Maciej Kusy
, Jacek Kluska
:
Assessment of prediction ability for reduced probabilistic neural network in data classification problems. Soft Comput. 21(1): 199-212 (2017) - [c12]Tomasz Zabinski
, Tomasz Maczka, Jacek Kluska
:
Industrial Platform for Rapid Prototyping of Intelligent Diagnostic Systems. KKA 2017: 712-721 - 2015
- [c11]Jacek Kluska
:
Selected Applications of P1-TS Fuzzy Rule-Based Systems. ICAISC (1) 2015: 195-206 - [c10]Tomasz Zabinski
, Tomasz Maczka, Jacek Kluska
, Maciej Kusy
, Piotr Gierlak
, Robert Hanus
, Slawomir Prucnal, Jaroslaw Sep
:
CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods. ICAISC (1) 2015: 503-514 - 2014
- [c9]Jacek Kluska
, Maciej Kusy
, Bogdan Obrzut
:
The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment. ICAISC (2) 2014: 143-154 - [c8]Tomasz Zabinski
, Tomasz Maczka, Jacek Kluska
, Maciej Kusy
, Zbigniew Hajduk
, Slawomir Prucnal:
Failures Prediction in the Cold Forging Process Using Machine Learning Methods. ICAISC (1) 2014: 622-633 - 2013
- [j3]Maciej Kusy
, Bogdan Obrzut
, Jacek Kluska
:
Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients. Medical Biol. Eng. Comput. 51(12): 1357-1365 (2013) - [c7]Maciej Kusy
, Jacek Kluska
:
Probabilistic Neural Network Structure Reduction for Medical Data Classification. ICAISC (1) 2013: 118-129 - [c6]Jacek Kluska
, Zbigniew Hajduk
:
Hardware Implementation of P1-TS Fuzzy Rule-Based Systems on FPGA. ICAISC (1) 2013: 282-293 - 2012
- [c5]Jacek Kluska, Maciej Kusy, Bogdan Obrzut:
Prediction of Radical Hysterectomy Complications for Cervical Cancer Using Computational Intelligence Methods. ICAISC (2) 2012: 259-267
2000 – 2009
- 2009
- [b1]Jacek Kluska:
Analytical Methods in Fuzzy Modeling and Control. Studies in Fuzziness and Soft Computing 241, Springer 2009, ISBN 978-3-540-89926-6, pp. 1-216 [contents] - 2008
- [c4]Jacek Kluska
:
TS Fuzzy Rule-Based Systems with Polynomial Membership Functions. ICAISC 2008: 253-264 - 2006
- [c3]Jacek Kluska
:
Transformation Lemma on Analytical Modeling Via Takagi-Sugeno Fuzzy System and Its Applications. ICAISC 2006: 230-239 - 2004
- [j2]Leslaw Gniewek
, Jacek Kluska
:
Hardware implementation of fuzzy Petri net as a controller. IEEE Trans. Syst. Man Cybern. Part B 34(3): 1315-1324 (2004) - [c2]Jacek Kluska, Zbigniew Hajduk:
Digital Implementation of Fuzzy Petri Net Based on Asynchronous Fuzzy RS Flip-Flop. ICAISC 2004: 314-319 - 2003
- [c1]Jacek Kluska, Zbigniew Hajduk:
Hardware implementation of a fuzzy Petri net based on VLSI digital circuits. EUSFLAT Conf. 2003: 789-793
1990 – 1999
- 1998
- [j1]Leslaw Gniewek
, Jacek Kluska
:
Family of fuzzy J-K flip-flops based on bounded product, bounded sum and complementation. IEEE Trans. Syst. Man Cybern. Part B 28(6): 861-868 (1998)
Coauthor Index

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