| Prediction of the result in race walking using regularized regression models K Przednowek, K Wiktorowicz Journal of Theoretical and Applied Computer Science 7 (2), 45-58, 2013 | 105 | 2013 |
| Estimation of hurdle clearance parameters using a monocular human motion tracking method T Krzeszowski, K Przednowek, K Wiktorowicz, J Iskra Computer methods in biomechanics and biomedical engineering 19 (12), 1319-1329, 2016 | 23 | 2016 |
| Training High-Order Takagi-Sugeno Fuzzy Systems Using Batch Least Squares and Particle Swarm Optimization K Wiktorowicz, T Krzeszowski International Journal of Fuzzy Systems 22 (1), 22-34, 2020 | 19 | 2020 |
| Output feedback direct adaptive fuzzy controller based on frequency-domain methods K Wiktorowicz IEEE Transactions on Fuzzy Systems 24 (3), 622-634, 2016 | 16 | 2016 |
| Design of state feedback adaptive fuzzy controllers for second-order systems using a frequency stability criterion K Wiktorowicz IEEE Transactions on Fuzzy Systems 25 (3), 499-510, 2017 | 15 | 2017 |
| Evaluation of selected fuzzy particle swarm optimization algorithms T Krzeszowski, K Wiktorowicz Computer Science and Information Systems (FedCSIS), 2016 Federated …, 2016 | 15 | 2016 |
| Planning Training Loads for The 400 M Hurdles in Three-Month Mesocycles Using Artificial Neural Networks K Przednowek, J Iskra, K Wiktorowicz, T Krzeszowski, A Maszczyk Journal of Human Kinetics 60 (1), 175-189, 2017 | 13 | 2017 |
| Predictive modeling in race walking K Wiktorowicz, K Przednowek, L Lassota, T Krzeszowski Computational intelligence and neuroscience 2015, 10, 2015 | 13 | 2015 |
| Integral evaluations for a class of multivariable fuzzy control systems J Kluska, K Wiktorowicz IFAC Proceedings Volumes 35 (1), 97-102, 2002 | 11 | 2002 |
| Approximation of two-variable functions using high-order Takagi–Sugeno fuzzy systems, sparse regressions, and metaheuristic optimization K Wiktorowicz, T Krzeszowski Soft Computing 24 (20), 15113-15127, 2020 | 9 | 2020 |
| A web-oriented expert system for planning hurdles race training programmes K Przednowek, K Wiktorowicz, T Krzeszowski, J Iskra Neural Computing and Applications 31 (11), 7227-7243, 2019 | 7 | 2019 |
| Automatic generating of fuzzy control rules for a fuzzy logic controller using matlab J Kluska, K Wiktorowicz SYSTEMS SCIENCE-WROCLAW- 23, 89-100, 1997 | 7 | 1997 |
| Sparse regressions and particle swarm optimization in training high-order Takagi–Sugeno fuzzy systems K Wiktorowicz, T Krzeszowski, K Przednowek Neural Computing and Applications, 1-13, 2020 | 6 | 2020 |
| Comparison of selected fuzzy PSO algorithms T Krzeszowski, K Wiktorowicz, K Przednowek Recent Advances in Computational Optimization: Results of the Workshop on …, 2018 | 6 | 2018 |
| Monocular Tracking of Human Motion in Evaluation of Hurdle Clearance T Krzeszowski, K Przednowek, J Iskra, K Wiktorowicz Sports Science Research and Technology Support 556, 16-29, 2015 | 6 | 2015 |
| Identification of time series models using sparse Takagi–Sugeno fuzzy systems with reduced structure K Wiktorowicz, T Krzeszowski Neural Computing and Applications 34 (10), 7473-7488, 2022 | 5 | 2022 |
| Neural system of sport result optimization of athletes doing race walking K Przednowek, K Wiktorowicz Metody Informatyki Stosowanej 29 (4), 189-200, 2011 | 5 | 2011 |
| O doborze reguł sterowania dla regulatora rozmytego K Wiktorowicz, R Zajdel Pomiary Automatyka Kontrola 51, 44-46, 2005 | 4 | 2005 |
| A fuzzy navigation of a mobile robot K Wiktorowicz, R Zajdel SYSTEMS SCIENCE-WROCLAW- 23, 87-100, 1997 | 4 | 1997 |
| T2RFIS: type-2 regression-based fuzzy inference system K Wiktorowicz Neural Computing and Applications, 1-19, 2023 | 3 | 2023 |
Krzysztof PrzednowekFaculty of Physical Education, University of RzeszowZweryfikowany adres z ur.edu.pl
