| Complete Gradient Clustering Algorithm for Features Analysis of X-Ray Images M Charytanowicz, J Niewczas, P Kulczycki, P Kowalski, S Łukasik, S Żak Information Technologies in Biomedicine, 15-24, 2010 | 295 | 2010 |
| Clustering using flower pollination algorithm and Calinski-Harabasz index S Łukasik, PA Kowalski, M Charytanowicz, P Kulczycki 2016 IEEE congress on evolutionary computation (CEC), 2724-2728, 2016 | 116 | 2016 |
| Study of flower pollination algorithm for continuous optimization S Łukasik, PA Kowalski Intelligent Systems' 2014: Proceedings of the 7th IEEE International …, 2015 | 90 | 2015 |
| Sensitivity analysis for probabilistic neural network structure reduction PA Kowalski, M Kusy IEEE transactions on neural networks and learning systems 29 (5), 1919–1932, 2018 | 64 | 2018 |
| Training Neural Networks with Krill Herd Algorithm PA Kowalski, S Łukasik Neural Processing Letters 44 (1), pp 5–17, 2016 | 64 | 2016 |
| Data Clustering with Grasshopper Optimization Algorithm S Łukasik, PA Kowalski, M Charytanowicz, P Kulczycki Proceedings of the 2017 Federated Conference on Computer Science and …, 2017 | 60 | 2017 |
| Data Clustering with Grasshopper Optimization Algorithm S Łukasik, PA Kowalski, M Charytanowicz, P Kulczycki | 60 | 2017 |
| Weighted probabilistic neural network M Kusy, PA Kowalski Information Sciences 430, 65-76, 2018 | 55 | 2018 |
| Interval probabilistic neural network PA Kowalski, P Kulczycki Neural Computing and Applications 28 (DOI: 10.1007/s00521-015-2109-3), 817-834, 2017 | 45 | 2017 |
| Experimental study of selected parameters of the krill herd algorithm PA Kowalski, S Łukasik Intelligent Systems' 2014: Proceedings of the 7th IEEE International …, 2015 | 33 | 2015 |
| An evaluation of utilizing geometric features for wheat grain classification using X-ray images M Charytanowicz, P Kulczycki, PA Kowalski, S Łukasik, ... Computers and Electronics in Agriculture 144, 260-268, 2018 | 31 | 2018 |
| The Complete Gradient Clustering Algorithm: properties in practical applications P Kulczycki, M Charytanowicz, PA Kowalski, S Lukasik Taylor & Francis, 2012 | 31 | 2012 |
| Bayes classification of imprecise information of interval type P Kulczycki, PA Kowalski Control and Cybernetics 40 (1), 101-123, 2011 | 30 | 2011 |
| Flattening layer pruning in convolutional neural networks E Jeczmionek, PA Kowalski Symmetry 13 (7), 1147, 2021 | 27 | 2021 |
| 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 | 26 | 2021 |
| Determining Significance of Input Neurons for Probabilistic Neural Network by Sensitivity Analysis Procedure PA Kowalski, M Kusy Computational Intelligence, 1-22, 2017 | 26 | 2017 |
| Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation S Łukasik, PA Kowalski 2014 Federated Conference on Computer Science and Information Systems, FedCSIS, 2014 | 24 | 2014 |
| A complete algorithm for the reduction of pattern data in the classification of interval information PA Kowalski, P Kulczycki International Journal of Computational Methods 13 (03), 1650018, 2016 | 19 | 2016 |
| Bayes Classification for Nonstationary Patterns P Kulczycki, PA Kowalski International Journal of Computational Methods 12 (2), 1550008-1 -- 1550008-19, 2015 | 17 | 2015 |
| Data sample reduction for classification of interval information using neural network sensitivity analysis P Kowalski, P Kulczycki Lecture Notes in Computer Science - Artificial Intelligence: Methodology …, 2010 | 17 | 2010 |
Piotr KulczyckiProfessor; Polish Academy of Sciences; AGH University of Science and TechnologyZweryfikowany adres z ibspan.waw.pl
