| Analytical methods in fuzzy modeling and control J Kluska Springer, 2009 | 95 | 2009 |
| Prediction of 5–year overall survival in cervical cancer patients treated with radical hysterectomy using computational intelligence methods B Obrzut, M Kusy, A Semczuk, M Obrzut, J Kluska BMC cancer 17, 1-9, 2017 | 68 | 2017 |
| Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients M Kusy, B Obrzut, J Kluska Medical & biological engineering & computing 51, 1357-1365, 2013 | 66 | 2013 |
| Hardware implementation of fuzzy Petri net as a controller L Gniewek, J Kluska IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 56 | 2004 |
| Condition monitoring in Industry 4.0 production systems-the idea of computational intelligence methods application T Żabiński, T Mączka, J Kluska, M Madera, J Sęp Procedia CIRP 79, 63-67, 2019 | 45 | 2019 |
| Family of fuzzy JK flip-flops based on bounded product, bounded sum and complementation L Gniewek, J Kluska IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998 | 32 | 1998 |
| Probabilistic neural network structure reduction for medical data classification M Kusy, J Kluska Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 29 | 2013 |
| PID-like adaptive fuzzy controller design based on absolute stability criterion J Kluska, T Żabiński IEEE Transactions on Fuzzy Systems 28 (3), 523-533, 2019 | 22 | 2019 |
| CNC milling tool head imbalance prediction using computational intelligence methods T Żabiński, T Mączka, J Kluska, M Kusy, P Gierlak, R Hanus, S Prucnal, ... Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | 21 | 2015 |
| Hardware implementation of P1-TS fuzzy rule-based systems on FPGA J Kluska, Z Hajduk Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 21 | 2013 |
| Industrial platform for rapid prototyping of intelligent diagnostic systems T Żabiński, T Mączka, J Kluska Trends in Advanced Intelligent Control, Optimization and Automation …, 2017 | 19 | 2017 |
| Assessment of prediction ability for reduced probabilistic neural network in data classification problems M Kusy, J Kluska Soft Computing 21, 199-212, 2017 | 18 | 2017 |
| Digital implementation of fuzzy Petri net based on asynchronous fuzzy RS flip-flop J Kluska, Z Hajduk International Conference on Artificial Intelligence and Soft Computing, 314-319, 2004 | 17 | 2004 |
| Failures prediction in the cold forging process using machine learning methods T Żabiński, T Mączka, J Kluska, M Kusy, Z Hajduk, S Prucnal Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 14 | 2014 |
| Extremely simple classifier based on fuzzy logic and gene expression programming J Kluska, M Madera Information Sciences 571, 560-579, 2021 | 13 | 2021 |
| Transformation lemma on analytical modeling via Takagi-Sugeno fuzzy system and its applications J Kluska International Conference on Artificial Intelligence and Soft Computing, 230-239, 2006 | 13 | 2006 |
| Absolute stability of continuous fuzzy control systems J Kluska, J Aracil, F Gordillo Stability Issues in Fuzzy Control 44, 15-45, 2000 | 13 | 2000 |
| Integral evaluations for a class of multivariable fuzzy control systems J Kluska, K Wiktorowicz IFAC Proceedings Volumes 35 (1), 97-102, 2002 | 12 | 2002 |
| Prediction of 10-year overall survival in patients with operable cervical cancer using a probabilistic neural network B Obrzut, M Kusy, A Semczuk, M Obrzut, J Kluska Journal of Cancer 10 (18), 4189, 2019 | 11 | 2019 |
| Adaptive fuzzy control of state-feedback time-delay systems with uncertain parameters J Kluska Information Sciences 540, 202-220, 2020 | 10 | 2020 |
