Maciej Kusy

According to our database1, Maciej Kusy authored at least 23 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Probabilistic Neural Network - parameters adjustment in classification task.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Selection of Pattern Neurons for a Probabilistic Neural Network by Means of Clustering and Nearest Neighbor Techniques.
Proceedings of the 6th International Conference on Control, 2019

2018
Sensitivity Analysis for Probabilistic Neural Network Structure Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

Weighted probabilistic neural network.
Inf. Sci., 2018

Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure.
Comput. Intell., 2018

Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
Assessment of prediction ability for reduced probabilistic neural network in data classification problems.
Soft Comput., 2017

Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016
Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015
Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2015

CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

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

Failures Prediction in the Cold Forging Process Using Machine Learning Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients.
Medical Biol. Eng. Comput., 2013

Probabilistic Neural Network Structure Reduction for Medical Data Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Influence of graphical weights' interpretation and filtration algorithms on generalization ability of neural networks applied to digit recognition.
Neural Comput. Appl., 2012

Prediction of Radical Hysterectomy Complications for Cervical Cancer Using Computational Intelligence Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2004
Application of SVM to Ovarian Cancer Classification Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2004


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