Maciej Kusy - RankMe

30 papers B 3C 3Misc 1Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	New Approach to Instance Selection Leveraging Clustering and Neighboring Strategies. ICAISC (2) Maciej Kusy, Roman Zajdel
2024	J	`jnl`	New data reduction algorithms based on the fusion of instance and feature selection. Knowl. Based Syst. Maciej Kusy, Roman Zajdel
2023	J	`jnl`	The forensic information identification based on machine learning algorithms. Forensic Sci. Int. Digit. Investig. Piotr A. Kowalski, Maciej Kusy, Karol Kocierz
2022	J	`jnl`	Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms. Appl. Soft Comput. Maciej Kusy, Piotr A. Kowalski
2022	B	`conf`	Machine learning techniques for explaining air pollution prediction. IJCNN Maciej Kusy, Piotr A. Kowalski, Marcin Szwagrzyk, Aleksander Konior
2021	J	`jnl`	A weighted wrapper approach to feature selection. Int. J. Appl. Math. Comput. Sci. Maciej Kusy, Roman Zajdel
2021	J	`jnl`	Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland. Ecol. Informatics Piotr Andrzej Kowalski, Marcin Szwagrzyk, Jolanta Kielpinska, Aleksander Konior, Maciej Kusy
2020	B	`conf`	Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. IJCNN Maciej Kusy, Roman Zajdel, Jacek Kluska, Tomasz Zabinski
2020	B	`conf`	Probabilistic Neural Network - parameters adjustment in classification task. IJCNN Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik
2020	—	`conf`	Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis. ICAISC (1) Roman Zajdel, Maciej Kusy, Jacek Kluska, Tomasz Zabinski
2019	C	`conf`	Selection of Pattern Neurons for a Probabilistic Neural Network by Means of Clustering and Nearest Neighbor Techniques. CoDIT Maciej Kusy
2018	—	`conf`	Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization. ICAISC (1) Roman Zajdel, Maciej Kusy
2018	J	`jnl`	Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure. Comput. Intell. Piotr A. Kowalski, Maciej Kusy
2018	J	`jnl`	Fuzzy c-means-based architecture reduction of a probabilistic neural network. Neural Networks Maciej Kusy
2018	J	`jnl`	Sensitivity Analysis for Probabilistic Neural Network Structure Reduction. IEEE Trans. Neural Networks Learn. Syst. Piotr A. Kowalski, Maciej Kusy
2018	J	`jnl`	Weighted probabilistic neural network. Inf. Sci. Maciej Kusy, Piotr A. Kowalski
2017	J	`jnl`	Assessment of prediction ability for reduced probabilistic neural network in data classification problems. Soft Comput. Maciej Kusy, Jacek Kluska
2017	C	`conf`	Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks. FedCSIS Piotr Andrzej Kowalski, Maciej Kusy
2016	C	`conf`	Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure. FedCSIS Maciej Kusy, Piotr Andrzej Kowalski
2015	J	`jnl`	Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network. IEEE Trans. Neural Networks Learn. Syst. Maciej Kusy, Roman Zajdel
2015	—	`conf`	CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods. ICAISC (1) Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Piotr Gierlak, Robert Hanus, Slawomir Prucnal, Jaroslaw Sep
2015	—	`conf`	Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm. ICAISC (1) Maciej Kusy, Roman Zajdel
2014	—	`conf`	Failures Prediction in the Cold Forging Process Using Machine Learning Methods. ICAISC (1) Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Zbigniew Hajduk, Slawomir Prucnal
2014	J	`jnl`	Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification. Appl. Intell. Maciej Kusy, Roman Zajdel
2014	—	`conf`	The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment. ICAISC (2) Jacek Kluska, Maciej Kusy, Bogdan Obrzut
2013	J	`jnl`	Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients. Medical Biol. Eng. Comput. Maciej Kusy, Bogdan Obrzut, Jacek Kluska
2013	—	`conf`	Probabilistic Neural Network Structure Reduction for Medical Data Classification. ICAISC (1) Maciej Kusy, Jacek Kluska
2012	J	`jnl`	Influence of graphical weights' interpretation and filtration algorithms on generalization ability of neural networks applied to digit recognition. Neural Comput. Appl. Maciej Kusy, Damian Szczepanski
2012	—	`conf`	Prediction of Radical Hysterectomy Complications for Cervical Cancer Using Computational Intelligence Methods. ICAISC (2) Jacek Kluska, Maciej Kusy, Bogdan Obrzut
2004	Misc	`conf`	Application of SVM to Ovarian Cancer Classification Problem. ICAISC Maciej Kusy