Chronologiczny spis publikacji
M Kusy, R Zajdel: New data reduction algorithms based on the fusion of instance and feature selection Knowledge-Based Systems 296, 111844 2024
R Hanus, M Zych, M Kusy, GH Roshani, E Nazemi: Application of selected methods of computational intelligence to recognition of the liquid—gas flow regime in pipeline by use gamma absorption and frequency domain feature extraction Measurement 238, 115260 2024
PA Kowalski, M Kusy, K Kocierz: The forensic information identification based on machine learning algorithms Forensic Science International: Digital Investigation 47, 301619 2023
M Kusy, PA Kowalski: Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms Applied Soft Computing 128, 109387 2022
PA Kowalski, K Kocierz, M Kusy: Analysis and Identification of Forensic Events Using Non-parametric Density Estimation Computational Intelligence and Mathematics for Tackling Complex Problems 4 161-167 2022
PA Kowalski, M Kusy, M Szwagrzyk, J Izydorczyk: Estimation of atmospheric boundary layer values in the context of the daily prediction of PM10 air pollution International Journal of Environmental Impacts 5 (3), 271-283 2022
M Kusy, PA Kowalski, M Szwagrzyk, A Konior: Machine learning techniques for explaining air pollution prediction International Joint Conference on Neural Networks (IJCNN), 1-8 2022
M Kusy, PA Kowalski: Detection of Fraudulent Credit Card Transactions by Computational Intelligence Models as aTool in Digital Forensics Computational Intelligence and Mathematics for Tackling Complex Problems 3 2021
PA Kowalski, M Kusy: Algorithms for triggering general regression neural network Computational Intelligence and Mathematics for Tackling Complex Problems 3 2021
PA Kowalski, M Szwagrzyk, J Kielpinska, A Konior, M Kusy: Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland Ecological informatics 63, 101284 2021
M Kusy, R Zajdel: wrapper approach to feature selection International Journal of Applied Mathematics and Computer Science 31 (4) 2021
R Zajdel, M Kusy, J Kluska, T Zabinski: Weighted feature selection method for improving decisions in milling process diagnosis International Conference on Artificial Intelligence and Soft Computing, 280-291 2020
PA Kowalski, M Kusy, S Kubasiak, S Lukasik: Probabilistic neural network-parameters adjustment in classification task 2020 International Joint Conference on Neural Networks (IJCNN), 1-8 2020
M Kusy, R Zajdel, J Kluska, T Zabinski: Fusion of feature selection methods for improving model accuracy in the milling process data classification problem 2020 International Joint Conference on Neural Networks (IJCNN), 1-8 2020
B Obrzut, M Kusy, A Semczuk, M Obrzut, J Kluska: Prediction of 10-year overall survival in patients with operable cervical cancer using a probabilistic neural network Journal of Cancer 10 (18), 4189 2019
M Kusy: Selection of pattern neurons for a probabilistic neural network by means of clustering and nearest neighbor techniques 2019 6th International Conference on Control, Decision and Information Technologies 2019
M Kusy: Fuzzy c-means-based architecture reduction of a probabilistic neural network Neural Networks 108, 20-32 2018
R Hanus, M Zych, M Kusy, P Hanus: Zastosowanie absorpcji promieniowania gamma i wybranych metod sztucznej inteligencji do identyfikacji struktury przeptywu ciecz-gaz w rurociqgu Przeglad Elektrotechniczny 94 2018
PA Kowalski, M Kusy: Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure Computational Intelligence 34 (3), 895-916 2018
R Zajdel, M Kusy: Application of reinforcement learning to stacked autoencoder deep network architecture optimization International Conference on Artificial Intelligence and Soft Computing, 267-276 2018
R Hanus, M Zych, M Kusy, M Jaszczur, L Petryka: Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods Flow Measurement and Instrumentation 60, 17-23 2018
M Kusy, PA Kowalski: Weighted probabilistic neural network Information Sciences 430, 65-76 2018
R Hanus, M Zych, M Kusy, P Hanus: Application of gamma absorption and selected artificial intelligence methods to identify the structure of liquid-gas flow in the pipeline PRZEGLAD ELEKTROTECHNICZNY 94 (8), 146-149 2018
B Obrzut, M Kusy, A Semezuk, M Obrzut, J Kluska: Prediction of 5–year overall survival in cervical cancer patients treated with radical hysterectomy using computational intelligence methods BMC cancer 17 (1), 840 2017
PA Kowalski, M Kusy: Determining the significance of features with the use of Sobol method in probabilistic neural network classification tasks 2017 Federated Conference on Computer Science and Information Systems (FedCSIS) 39-48 2017
PA Kowalski, M Kusy: Sensitivity analysis for probabilistic neural network structure reduction IEEE transactions on neural networks and learning systems 29 (5), 1919-1932 2017
M Kusy, J Kluska: Assessment of prediction ability for reduced probabilistic neural network in data classification problems Soft Computing 21 (1), 199-212 2017
M Kusy, PA Kowalski: Modification of the probabilistic neural network with the use of sensitivity analysis procedure 2016 Federated Conference on Computer Science and Information Systems (FedCSIS) 97-103 2016 2016
M Kusy Dimensionality reduction for probabilistic neural network in medical data classification M Kusy International Journal of Electronics and Telecommunication 61 (3), 289-300 2015
T Zabinski, T Maczka, J Kluska, M Kusy, P Gierlak, R Hanus, S Prucnal, , Jarosław Sęp: CNC milling tool head imbalance prediction using computational intelligence methods International Conference on Artificial Intelligence and Soft Computing, 503-514 2015
M Kusy, R Zajdel: Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm International Conference on Artificial Intelligence and Soft Computing, 49-58 2015
M Kusy, R Zajdel: Application of reinforcement learning algorithms for the adaptive computation of the 90 2014 smoothing parameter for probabilistic neural network IEEE transactions on neural networks and learning systems 26 (9), 2163-2175 2014
M Kusy, R Zajdel: Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification Applied Intelligence 41 (3), 837-854 2014
T Zabinski, T Maczka, J Kluska, M Kusy, Z Hajduk, S Prucnal: Failures prediction in the cold forging process using machine learning methods International Conference on Artificial Intelligence and Soft Computing, 622-633 2014
J Kluska, M Kusy, B Obrzut: The classifier for prediction of peri-operative complications in cervical cancer treatment International Conference on Artificial Intelligence and Soft Computing, 143-154 2014
J Kluska, M Kusy, B Obrzut: The classifier for prediction of peri-operative complications in cervical cancer treatment International Conference on Artificial Intelligence and Soft Computing, 143-154 2014
M Kusy, R Zajdel: Stateless Q-Learning Algorithm for Training of Radial Basis Function Based Neural Networks in Medical Data Classification Intelligent Systems in Technical and Medical Diagnostics, 267-278 2014
M Kusy, B Obrzut, J Kluska: Application of gene expression programming _and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients Medical & biological engineering & computing 51 (12), 1357-1365 2013
M Kusy, J Kluska: Probabilistic neural network structure reduction for medical data classification International Conference on Artificial Intelligence and Soft Computing, 118-129 2013
M Kusy, D Szczepański: Influence of graphical weights’ interpretation and filtration algorithms on generalization ability of neural networks applied to digit recognition Neural Computing and Applications 21 (7), 1783-1790 2012
J Kluska, M Kusy, B Obrzut: Prediction of radical hysterectomy complications for cervical cancer using computational intelligence methods International Conference on Artificial Intelligence and Soft Computing, 259-267 2012
M Kusy: System for cancer diagnosis based on support vector machines and neural networks Faculty of Mechatronics 2008
M Kusy: Application of SVM to ovarian cancer classification problem International Conference on Artificial Intelligence and Soft Computing, 1020-1025 2004
