Application of SVM to Ovarian Cancer Classification Problem. - Maciej Kusy (ICAISC, 2004)

Prediction of Radical Hysterectomy Complications for Cervical Cancer Using Computational Intelligence Methods. - Jacek Kluska; Maciej Kusy; Bogdan Obrzut (ICAISC (2), 2012)

Influence of graphical weights' interpretation and filtration algorithms on generalization ability of neural networks applied to digit recognition. - Maciej Kusy; Damian Szczepanski (Neural Comput. Appl., 2012)

Probabilistic Neural Network Structure Reduction for Medical Data Classification. - Maciej Kusy; Jacek Kluska (ICAISC (1), 2013)

Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients. - Maciej Kusy; Bogdan Obrzut; Jacek Kluska (Medical Biol. Eng. Comput., 2013)

The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment. - Jacek Kluska; Maciej Kusy; Bogdan Obrzut (ICAISC (2), 2014)

Failures Prediction in the Cold Forging Process Using Machine Learning Methods. - Tomasz Zabinski; Tomasz Maczka; Jacek Kluska; Maciej Kusy; Zbigniew Hajduk; Slawomir Prucnal (ICAISC (1), 2014)

Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification. - Maciej Kusy; Roman Zajdel (Appl. Intell., 2014)

Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm. - Maciej Kusy; Roman Zajdel (ICAISC (1), 2015)

CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods. - Tomasz Zabinski; Tomasz Maczka; Jacek Kluska; Maciej Kusy; Piotr Gierlak; Robert Hanus; Slawomir Prucnal; Jaroslaw Sep (ICAISC (1), 2015)

Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network. - Maciej Kusy; Roman Zajdel (IEEE Trans. Neural Networks Learn. Syst., 2015)

Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure. - Maciej Kusy; Piotr Andrzej Kowalski (FedCSIS, 2016)

Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks. - Piotr Andrzej Kowalski; Maciej Kusy (FedCSIS, 2017)

Assessment of prediction ability for reduced probabilistic neural network in data classification problems. - Maciej Kusy; Jacek Kluska (Soft Comput., 2017)

Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization. - Roman Zajdel; Maciej Kusy (ICAISC (1), 2018)

Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure. - Piotr A. Kowalski; Maciej Kusy (Comput. Intell., 2018)

Weighted probabilistic neural network. - Maciej Kusy; Piotr A. Kowalski (Inf. Sci., 2018)

Fuzzy c-means-based architecture reduction of a probabilistic neural network. - Maciej Kusy (Neural Networks, 2018)

Sensitivity Analysis for Probabilistic Neural Network Structure Reduction. - Piotr A. Kowalski; Maciej Kusy (IEEE Trans. Neural Networks Learn. Syst., 2018)

Selection of Pattern Neurons for a Probabilistic Neural Network by Means of Clustering and Nearest Neighbor Techniques. - Maciej Kusy (CoDIT, 2019)

Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis. - Roman Zajdel; Maciej Kusy; Jacek Kluska; Tomasz Zabinski (ICAISC (1), 2020)

Probabilistic Neural Network - parameters adjustment in classification task. - Piotr A. Kowalski; Maciej Kusy; Szymon Kubasiak; Szymon Lukasik (IJCNN, 2020)

Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. - Maciej Kusy; Roman Zajdel; Jacek Kluska; Tomasz Zabinski (IJCNN, 2020)

A weighted wrapper approach to feature selection. - Maciej Kusy; Roman Zajdel (Int. J. Appl. Math. Comput. Sci., 2021)

Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland. - Piotr Andrzej Kowalski; Marcin Szwagrzyk; Jolanta Kielpinska; Aleksander Konior; Maciej Kusy (Ecol. Informatics, 2021)

Machine learning techniques for explaining air pollution prediction. - Maciej Kusy; Piotr A. Kowalski; Marcin Szwagrzyk; Aleksander Konior (IJCNN, 2022)

Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms. - Maciej Kusy; Piotr A. Kowalski (Appl. Soft Comput., 2022)

The forensic information identification based on machine learning algorithms. - Piotr A. Kowalski; Maciej Kusy; Karol Kocierz (Forensic Sci. Int. Digit. Investig., 2023)

New data reduction algorithms based on the fusion of instance and feature selection. - Maciej Kusy; Roman Zajdel (Knowl. Based Syst., 2024)