| Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods R Hanus, M Zych, M Kusy, M Jaszczur, L Petryka Flow Measurement and Instrumentation 60, 17-23, 2018 | 124 | 2018 |
| Application of reinforcement learning algorithms for the adaptive computation of the smoothing parameter for probabilistic neural network M Kusy, R Zajdel IEEE transactions on neural networks and learning systems 26 (9), 2163-2175, 2014 | 83 | 2014 |
| 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 |
| Sensitivity analysis for probabilistic neural network structure reduction PA Kowalski, M Kusy IEEE transactions on neural networks and learning systems 29 (5), 1919-1932, 2017 | 61 | 2017 |
| Weighted probabilistic neural network M Kusy, PA Kowalski Information Sciences 430, 65-76, 2018 | 53 | 2018 |
| Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification M Kusy, R Zajdel Applied Intelligence 41, 837-854, 2014 | 48 | 2014 |
| Probabilistic neural network structure reduction for medical data classification M Kusy, J Kluska Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 29 | 2013 |
| Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland PA Kowalski, M Szwagrzyk, J Kielpinska, A Konior, M Kusy Ecological informatics 63, 101284, 2021 | 25 | 2021 |
| Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure PA Kowalski, M Kusy Computational Intelligence 34 (3), 895-916, 2018 | 25 | 2018 |
| 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 |
| 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 |
| Fuzzy c-means-based architecture reduction of a probabilistic neural network M Kusy Neural Networks 108, 20-32, 2018 | 14 | 2018 |
| 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 |
| Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms M Kusy, PA Kowalski Applied Soft Computing 128, 109387, 2022 | 10 | 2022 |
| 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 | 10 | 2019 |
| A weighted wrapper approach to feature selection M Kusy, R Zajdel International Journal of Applied Mathematics and Computer Science 31 (4), 2021 | 9 | 2021 |
| Fusion of feature selection methods for improving model accuracy in the milling process data classification problem M Kusy, R Zajdel, J Kluska, T Zabinski 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 8 | 2020 |
| Determining the significance of features with the use of Sobol method in probabilistic neural network classification tasks PA Kowalski, M Kusy 2017 Federated Conference on Computer Science and Information Systems …, 2017 | 8 | 2017 |
| Modification of the probabilistic neural network with the use of sensitivity analysis procedure M Kusy, PA Kowalski 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 7 | 2016 |
Piotr A. KowalskiPh.D.,D.Sc., Prof. AGH University of Krakow; Systems Research Institute, Polish在 ibspan.waw.pl 的电子邮件经过验证
