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Ex-Staff Member

PhD Eng Tomasz Gałkowski

Papers (26)

2023 (2)

Convergence of RBF Networks Regression Function Estimates and Classifiers
Krzyzak A., Galkowski T., Partyka M., Convergence of RBF Networks Regression Function Estimates and Classifiers, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13588 LNAI, 13588 LNAI, 363-376, 2023, Cites: 0
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method
Galkowski T., Krzyzak A., Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method, Communications in Computer and Information Science, 1791 CCIS, 1791 CCIS, 251-262, 2023, Cites: 0

2022 (2)

A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
Grycuk R., Galkowski T., Scherer R., Rutkowski L., 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-July, 2022-July, 2022, Cites: 1
Fast Estimation of Multidimensional Regression Functions
Galkowski T., Krzyzak A., Dziwinski P., Fast Estimation of Multidimensional Regression Functions, 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, 211-216, 2022, Cites: 1

2021 (2)

A new approach to detection of changes in multidimensional patterns
Galkowski T., Krzyzak A., Patora-Wysocka Z., Filutowicz Z., Wang L., A new approach to detection of changes in multidimensional patterns, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 217-227, 2021, Cites: 1
Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates
Galkowski T., Krzyzak A., Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 318-327, 2021, Cites: 0

2020 (3)

A New Approach to Detection of Abrupt Changes in Black-and-White Images
Galkowski T., Krzyzak A., A New Approach to Detection of Abrupt Changes in Black-and-White Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 3-18, 2020, Cites: 2
A New Approach to Detection of Changes in Multidimensional Patterns
Galkowski T., Krzyaak A., Filutowicz Z., A New Approach to Detection of Changes in Multidimensional Patterns, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 125-136, 2020, Cites: 11
Edge Curve Estimation by the Nonparametric Parzen Kernel Method
Galkowski T., Krzyzak A., Edge Curve Estimation by the Nonparametric Parzen Kernel Method, Communications in Computer and Information Science, 1332, 1332, 377-385, 2020, Cites: 1

2019 (1)

A new concept of nonparametric kernel approach for edge detection
Galkowski T., Przybyszewski K., A new concept of nonparametric kernel approach for edge detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 361-370, 2019, Cites: 0

2018 (1)

Outliers detection in regressions by nonparametric parzen kernel estimation
Galkowski T., Cader A., Outliers detection in regressions by nonparametric parzen kernel estimation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 354-363, 2018, Cites: 0

2017 (2)

Porous silica templated nanomaterials for artificial intelligence and IT technologies
Laskowska M., Laskowski L., Jelonkiewicz J., Piech H., Galkowski T., Boullanger A., Porous silica templated nanomaterials for artificial intelligence and IT technologies, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 509-517, 2017, Cites: 2
The novel method of the estimation of the fourier transform based on noisy measurements
Galkowski T., Pawlak M., The novel method of the estimation of the fourier transform based on noisy measurements, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 52-61, 2017, Cites: 1

2016 (3)

Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy
Laskowski ., Laskowska M., Jelonkiewicz J., Galkowski T., Pawlik P., Piech H., Doskocz M., Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy, Journal of Nanomaterials, 2016, 2016, 2016, Cites: 6
Nonparametric estimation of edge values of regression functions
Galkowski T., Pawlak M., Nonparametric estimation of edge values of regression functions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 49-59, 2016, Cites: 6
The concept of molecular neurons
Laskowski L., Laskowska M., Piech H., Galkowski T., Boullanger A., The concept of molecular neurons, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 494-501, 2016, Cites: 4

2015 (2)

Orthogonal series estimation of regression functions in nonstationary conditions
Galkowski T., Pawlak M., Orthogonal series estimation of regression functions in nonstationary conditions, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 427-435, 2015, Cites: 3
Improvement of the multiple-view learning based on the self-organizing maps
Galkowski T., Starczewski A., Fu X., Improvement of the multiple-view learning based on the self-organizing maps, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 3-12, 2015, Cites: 4

2014 (2)

Nonparametric function fitting in the presence of nonstationary noise
Galkowski T., Pawlak M., Nonparametric function fitting in the presence of nonstationary noise, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 531-538, 2014, Cites: 9
Nonparametric extension of regression functions outside domain
Galkowski T., Pawlak M., Nonparametric extension of regression functions outside domain, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 518-530, 2014, Cites: 6

2013 (1)

Kernel estimation of regression functions in the boundary regions
Galkowski T., Kernel estimation of regression functions in the boundary regions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 158-166, 2013, Cites: 15

2012 (1)

An application of the self-organizing map to multiple view unsupervised learning
Galkowski T., Starczewski A., An application of the self-organizing map to multiple view unsupervised learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 181-187, 2012, Cites: 1

2008 (1)

On differential stroke diagnosis by neuro-fuzzy structures
Cpalka K., Rebrova O., Galkowski T., Rutkowski L., On differential stroke diagnosis by neuro-fuzzy structures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 974-980, 2008, Cites: 1

1986 (1)

Nonparametric Fitting of Multivariate Functions
Galkowski T., Rutkowski L., Nonparametric Fitting of Multivariate Functions, IEEE Transactions on Automatic Control, 31, 31, 785-787, 1986, Cites: 63

1985 (1)

Nonparametric Recovery of Multivariate Functions with Applications to System Identification
Galkowski T., Rutkowski L., Nonparametric Recovery of Multivariate Functions with Applications to System Identification, Proceedings of the IEEE, 73, 73, 942-943, 1985, Cites: 61

1983 (1)

NEW ALGORITHM FOR SHAPE ANALYSIS - THE MULTIDIMENSIONAL CASE.
Galkowski Tomasz, Rutkowski Leszek, NEW ALGORITHM FOR SHAPE ANALYSIS - THE MULTIDIMENSIONAL CASE., 49-53, 1983, Cites: 0

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