Maciej Kusy

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 21

Top Topics

Nearest Neighbour

Learning Algorithm

Sensitivity Analysis

Feature Selection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Maciej Kusy, Roman Zajdel
New data reduction algorithms based on the fusion of instance and feature selection. Knowl. Based Syst. 296 (2024)
Piotr A. Kowalski, Maciej Kusy, Karol Kocierz
The forensic information identification based on machine learning algorithms. Forensic Sci. Int. Digit. Investig. 47 (2023)
Maciej Kusy, Piotr A. Kowalski, Marcin Szwagrzyk, Aleksander Konior
Machine learning techniques for explaining air pollution prediction. IJCNN (2022)
Maciej Kusy, Piotr A. Kowalski
Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms. Appl. Soft Comput. 128 (2022)
Piotr Andrzej Kowalski, Marcin Szwagrzyk, Jolanta Kielpinska, Aleksander Konior, Maciej Kusy
Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland. Ecol. Informatics 63 (2021)
Maciej Kusy, Roman Zajdel
A weighted wrapper approach to feature selection. Int. J. Appl. Math. Comput. Sci. 31 (4) (2021)
Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik
Probabilistic Neural Network - parameters adjustment in classification task. IJCNN (2020)
Roman Zajdel, Maciej Kusy, Jacek Kluska, Tomasz Zabinski
Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis. ICAISC (1) (2020)
Maciej Kusy, Roman Zajdel, Jacek Kluska, Tomasz Zabinski
Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. IJCNN (2020)
Maciej Kusy
Selection of Pattern Neurons for a Probabilistic Neural Network by Means of Clustering and Nearest Neighbor Techniques. CoDIT (2019)
Maciej Kusy, Piotr A. Kowalski
Weighted probabilistic neural network. Inf. Sci. 430 (2018)
Roman Zajdel, Maciej Kusy
Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization. ICAISC (1) (2018)
Piotr A. Kowalski, Maciej Kusy
Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure. Comput. Intell. 34 (3) (2018)
Piotr A. Kowalski, Maciej Kusy
Sensitivity Analysis for Probabilistic Neural Network Structure Reduction. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Maciej Kusy
Fuzzy c-means-based architecture reduction of a probabilistic neural network. Neural Networks 108 (2018)
Piotr Andrzej Kowalski, Maciej Kusy
Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks. FedCSIS (2017)
Maciej Kusy, Jacek Kluska
Assessment of prediction ability for reduced probabilistic neural network in data classification problems. Soft Comput. 21 (1) (2017)
Maciej Kusy, Piotr Andrzej Kowalski
Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure. FedCSIS (2016)
Maciej Kusy, Roman Zajdel
Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Maciej Kusy, Roman Zajdel
Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm. ICAISC (1) (2015)
Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Piotr Gierlak, Robert Hanus, Slawomir Prucnal, Jaroslaw Sep
CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods. ICAISC (1) (2015)
Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Zbigniew Hajduk, Slawomir Prucnal
Failures Prediction in the Cold Forging Process Using Machine Learning Methods. ICAISC (1) (2014)
Jacek Kluska, Maciej Kusy, Bogdan Obrzut
The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment. ICAISC (2) (2014)
Maciej Kusy, Roman Zajdel
Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification. Appl. Intell. 41 (3) (2014)
Maciej Kusy, Bogdan Obrzut, Jacek Kluska
Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients. Medical Biol. Eng. Comput. 51 (12) (2013)
Maciej Kusy, Jacek Kluska
Probabilistic Neural Network Structure Reduction for Medical Data Classification. ICAISC (1) (2013)
Jacek Kluska, Maciej Kusy, Bogdan Obrzut
Prediction of Radical Hysterectomy Complications for Cervical Cancer Using Computational Intelligence Methods. ICAISC (2) (2012)
Maciej Kusy, Damian Szczepanski
Influence of graphical weights' interpretation and filtration algorithms on generalization ability of neural networks applied to digit recognition. Neural Comput. Appl. 21 (7) (2012)
Maciej Kusy
Application of SVM to Ovarian Cancer Classification Problem. ICAISC (2004)