Tomasz Galkowski

Orcid: 0000-0001-9989-7708

Affiliations:
  • Czestochowa University of Technology, Poland


According to our database1, Tomasz Galkowski authored at least 23 papers between 1985 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder.
Proceedings of the International Joint Conference on Neural Networks, 2022

Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Fast Estimation of Multidimensional Regression Functions.
Proceedings of the 17th International Conference on Control, 2022

Convergence of RBF Networks Regression Function Estimates and Classifiers.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
A New Approach to Detection of Changes in Multidimensional Patterns - Part II.
J. Artif. Intell. Soft Comput. Res., 2021

Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
A New Approach to Detection of Changes in Multidimensional Patterns.
J. Artif. Intell. Soft Comput. Res., 2020

Edge Curve Estimation by the Nonparametric Parzen Kernel Method.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A New Approach to Detection of Abrupt Changes in Black-and-White Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
A New Concept of Nonparametric Kernel Approach for Edge Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Outliers Detection in Regressions by Nonparametric Parzen Kernel Estimation.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
Porous Silica Templated Nanomaterials for Artificial Intelligence and IT Technologies.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
The Concept of Molecular Neurons.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Nonparametric Estimation of Edge Values of Regression Functions.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Improvement of the Multiple-View Learning Based on the Self-Organizing Maps.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
Nonparametric Function Fitting in the Presence of Nonstationary Noise.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Nonparametric Extension of Regression Functions Outside Domain.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Kernel Estimation of Regression Functions in the Boundary Regions.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
An Application of the Self-Organizing Map to Multiple View Unsupervised Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2008
On Differential Stroke Diagnosis by Neuro-fuzzy Structures.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

1985
Nonparametric recovery of multivariate functions with applications to system identification.
Proc. IEEE, 1985


  Loading...