Nonparametric recovery of multivariate functions with applications to system identification. - Tomasz Galkowski; Leszek Rutkowski (Proc. IEEE, 1985)

On Differential Stroke Diagnosis by Neuro-fuzzy Structures. - Krzysztof Cpalka; Olga Yu. Rebrova; Tomasz Galkowski; Leszek Rutkowski (ICAISC, 2008)

An Application of the Self-Organizing Map to Multiple View Unsupervised Learning. - Tomasz Galkowski; Artur Starczewski (ICAISC (2), 2012)

Kernel Estimation of Regression Functions in the Boundary Regions. - Tomasz Galkowski (ICAISC (2), 2013)

Nonparametric Extension of Regression Functions Outside Domain. - Tomasz Galkowski; Miroslaw Pawlak (ICAISC (1), 2014)

Nonparametric Function Fitting in the Presence of Nonstationary Noise. - Tomasz Galkowski; Miroslaw Pawlak (ICAISC (1), 2014)

Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions. - Tomasz Galkowski; Miroslaw Pawlak (ICAISC (1), 2015)

Improvement of the Multiple-View Learning Based on the Self-Organizing Maps. - Tomasz Galkowski; Artur Starczewski; Xiuju Fu (ICAISC, 2015)

Nonparametric Estimation of Edge Values of Regression Functions. - Tomasz Galkowski; Miroslaw Pawlak (ICAISC (2), 2016)

The Concept of Molecular Neurons. - Lukasz Laskowski; Magdalena Laskowska; Jerzy Jelonkiewicz; Henryk Piech; Tomasz Galkowski; Arnaud Boullanger (ICAISC (2), 2016)

The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements. - Tomasz Galkowski; Miroslaw Pawlak (ICAISC (2), 2017)

Porous Silica Templated Nanomaterials for Artificial Intelligence and IT Technologies. - Magdalena Laskowska; Lukasz Laskowski; Jerzy Jelonkiewicz; Henryk Piech; Tomasz Galkowski; Arnaud Boullanger (ICAISC (2), 2017)

Outliers Detection in Regressions by Nonparametric Parzen Kernel Estimation. - Tomasz Galkowski; Andrzej Cader (ICAISC (2), 2018)

A New Concept of Nonparametric Kernel Approach for Edge Detection. - Tomasz Galkowski; Krzysztof Przybyszewski (ICAISC (2), 2019)

A New Approach to Detection of Abrupt Changes in Black-and-White Images. - Tomasz Galkowski; Adam Krzyzak (ICAISC (2), 2020)

Edge Curve Estimation by the Nonparametric Parzen Kernel Method. - Tomasz Galkowski; Adam Krzyzak (ICONIP (4), 2020)

A New Approach to Detection of Changes in Multidimensional Patterns. - Tomasz Galkowski; Adam Krzyzak; Zbigniew Filutowicz (J. Artif. Intell. Soft Comput. Res., 2020)

Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. - Tomasz Galkowski; Adam Krzyzak (ICAISC (1), 2021)

A New Approach to Detection of Changes in Multidimensional Patterns - Part II. - Tomasz Galkowski; Adam Krzyzak; Zofia Patora-Wysocka; Zbigniew Filutowicz; Lipo Wang (J. Artif. Intell. Soft Comput. Res., 2021)

Convergence of RBF Networks Regression Function Estimates and Classifiers. - Adam Krzyzak; Tomasz Galkowski; Marian Partyka (ICAISC (1), 2022)

Fast Estimation of Multidimensional Regression Functions. - Tomasz Galkowski; Adam Krzyzak; Piotr Dziwiñski (ICARCV, 2022)

Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. - Tomasz Galkowski; Adam Krzyzak (ICONIP (4), 2022)

A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. - Rafal Grycuk; Tomasz Galkowski; Rafal Scherer; Leszek Rutkowski (IJCNN, 2022)