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ORCIDTomasz Galkowski
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- affiliation: Czestochowa University of Technology, Poland
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2020 – today
- 2022
[c20]Adam Krzyzak, Tomasz Galkowski, Marian Partyka:
Convergence of RBF Networks Regression Function Estimates and Classifiers. ICAISC (1) 2022: 363-376- [c19]Tomasz Galkowski, Adam Krzyzak, Piotr Dziwiñski:
Fast Estimation of Multidimensional Regression Functions. ICARCV 2022: 211-216 - [c18]Tomasz Galkowski
, Adam Krzyzak:
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. ICONIP (4) 2022: 251-262 - [c17]Rafal Grycuk, Tomasz Galkowski, Rafal Scherer, Leszek Rutkowski:
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. IJCNN 2022: 1-7 - 2021
- [j3]Tomasz Galkowski, Adam Krzyzak, Zofia Patora-Wysocka, Zbigniew Filutowicz, Lipo Wang:
A New Approach to Detection of Changes in Multidimensional Patterns - Part II. J. Artif. Intell. Soft Comput. Res. 11(3): 217-227 (2021) - [c16]Tomasz Galkowski, Adam Krzyzak:
Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. ICAISC (1) 2021: 318-327 - 2020
- [j2]Tomasz Galkowski, Adam Krzyzak, Zbigniew Filutowicz:
A New Approach to Detection of Changes in Multidimensional Patterns. J. Artif. Intell. Soft Comput. Res. 10(2): 125-136 (2020) - [c15]Tomasz Galkowski, Adam Krzyzak:
A New Approach to Detection of Abrupt Changes in Black-and-White Images. ICAISC (2) 2020: 3-18 - [c14]Tomasz Galkowski, Adam Krzyzak:
Edge Curve Estimation by the Nonparametric Parzen Kernel Method. ICONIP (4) 2020: 377-385
2010 – 2019
- 2019
- [c13]Tomasz Galkowski, Krzysztof Przybyszewski:
A New Concept of Nonparametric Kernel Approach for Edge Detection. ICAISC (2) 2019: 361-370 - 2018
- [c12]Tomasz Galkowski, Andrzej Cader:
Outliers Detection in Regressions by Nonparametric Parzen Kernel Estimation. ICAISC (2) 2018: 354-363 - 2017
- [c11]Tomasz Galkowski, Miroslaw Pawlak:
The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements. ICAISC (2) 2017: 52-61 - [c10]Magdalena Laskowska, Lukasz Laskowski, Jerzy Jelonkiewicz, Henryk Piech, Tomasz Galkowski, Arnaud Boullanger:
Porous Silica Templated Nanomaterials for Artificial Intelligence and IT Technologies. ICAISC (2) 2017: 509-517 - 2016
- [c9]Tomasz Galkowski, Miroslaw Pawlak:
Nonparametric Estimation of Edge Values of Regression Functions. ICAISC (2) 2016: 49-59 - [c8]Lukasz Laskowski, Magdalena Laskowska, Jerzy Jelonkiewicz, Henryk Piech, Tomasz Galkowski, Arnaud Boullanger:
The Concept of Molecular Neurons. ICAISC (2) 2016: 494-501 - 2015
- [c7]Tomasz Galkowski, Artur Starczewski, Xiuju Fu:
Improvement of the Multiple-View Learning Based on the Self-Organizing Maps. ICAISC 2015: 3-12 - [c6]Tomasz Galkowski, Miroslaw Pawlak:
Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions. ICAISC (1) 2015: 427-435 - 2014
- [c5]Tomasz Galkowski, Miroslaw Pawlak:
Nonparametric Extension of Regression Functions Outside Domain. ICAISC (1) 2014: 518-530 - [c4]Tomasz Galkowski, Miroslaw Pawlak:
Nonparametric Function Fitting in the Presence of Nonstationary Noise. ICAISC (1) 2014: 531-538 - 2013
- [c3]Tomasz Galkowski:
Kernel Estimation of Regression Functions in the Boundary Regions. ICAISC (2) 2013: 158-166 - 2012
- [c2]Tomasz Galkowski, Artur Starczewski:
An Application of the Self-Organizing Map to Multiple View Unsupervised Learning. ICAISC (2) 2012: 181-187
2000 – 2009
- 2008
- [c1]Krzysztof Cpalka, Olga Yu. Rebrova, Tomasz Galkowski, Leszek Rutkowski:
On Differential Stroke Diagnosis by Neuro-fuzzy Structures. ICAISC 2008: 974-980
1980 – 1989
- 1985
- [j1]Tomasz Galkowski, Leszek Rutkowski:
Nonparametric recovery of multivariate functions with applications to system identification. Proc. IEEE 73(5): 942-943 (1985)
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