PhD Eng
Tomasz Gałkowski
Papers (26)
2023 (2)
Krzyzak A., Galkowski T., Partyka M., Convergence of RBF Networks Regression Function Estimates and Classifiers. (0)
Convergence of RBF Networks Regression Function Estimates and Classifiers
, 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
Galkowski T., Krzyzak A., Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. (0)
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method
, 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: 02022 (2)
Galkowski T., Krzyzak A., Dziwinski P., Fast Estimation of Multidimensional Regression Functions. (1)
Fast Estimation of Multidimensional Regression Functions
, Fast Estimation of Multidimensional Regression Functions, 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, 211-216, 2022, Cites: 1
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. (5)
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
, 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: 52021 (2)
Galkowski T., Krzyzak A., Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. (0)
Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates
, 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
Galkowski T., Krzyzak A., Patora-Wysocka Z., Filutowicz Z., Wang L., A new approach to detection of changes in multidimensional patterns. (4)
A new approach to detection of changes in multidimensional patterns
, A new approach to detection of changes in multidimensional patterns, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 217-227, 2021, Cites: 42020 (3)
Galkowski T., Krzyzak A., Edge Curve Estimation by the Nonparametric Parzen Kernel Method. (2)
Edge Curve Estimation by the Nonparametric Parzen Kernel Method
, Edge Curve Estimation by the Nonparametric Parzen Kernel Method, Communications in Computer and Information Science, 1332, 1332, 377-385, 2020, Cites: 2
Galkowski T., Krzyzak A., A New Approach to Detection of Abrupt Changes in Black-and-White Images. (3)
A New Approach to Detection of Abrupt Changes in Black-and-White Images
, 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: 3
Galkowski T., Krzyaak A., Filutowicz Z., A New Approach to Detection of Changes in Multidimensional Patterns. (14)
A New Approach to Detection of Changes in Multidimensional Patterns
, A New Approach to Detection of Changes in Multidimensional Patterns, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 125-136, 2020, Cites: 142019 (1)
Galkowski T., Przybyszewski K., A new concept of nonparametric kernel approach for edge detection. (0)
A new concept of nonparametric kernel approach for edge detection
, 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: 02018 (1)
Galkowski T., Cader A., Outliers detection in regressions by nonparametric parzen kernel estimation. (0)
Outliers detection in regressions by nonparametric parzen kernel estimation
, 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: 02017 (2)
Galkowski T., Pawlak M., The novel method of the estimation of the fourier transform based on noisy measurements. (1)
The novel method of the estimation of the fourier transform based on noisy measurements
, 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
Laskowska M., Laskowski L., Jelonkiewicz J., Piech H., Galkowski T., Boullanger A., Porous silica templated nanomaterials for artificial intelligence and IT technologies. (2)
Porous silica templated nanomaterials for artificial intelligence and IT technologies
, 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: 22016 (3)
Laskowski L., Laskowska M., Piech H., Galkowski T., Boullanger A., The concept of molecular neurons. (4)
The concept of molecular neurons
, 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
Laskowski ., Laskowska M., Jelonkiewicz J., Galkowski T., Pawlik P., Piech H., Doskocz M., Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy. (7)
Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy
, Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy, Journal of Nanomaterials, 2016, 2016, 2016, Cites: 7
Galkowski T., Pawlak M., Nonparametric estimation of edge values of regression functions. (7)
Nonparametric estimation of edge values of regression functions
, 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: 72015 (2)
Galkowski T., Pawlak M., Orthogonal series estimation of regression functions in nonstationary conditions. (3)
Orthogonal series estimation of regression functions in nonstationary conditions
, 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
Galkowski T., Starczewski A., Fu X., Improvement of the multiple-view learning based on the self-organizing maps. (4)
Improvement of the multiple-view learning based on the self-organizing maps
, 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: 42014 (2)
Galkowski T., Pawlak M., Nonparametric extension of regression functions outside domain. (6)
Nonparametric extension of regression functions outside domain
, 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
Galkowski T., Pawlak M., Nonparametric function fitting in the presence of nonstationary noise. (9)
Nonparametric function fitting in the presence of nonstationary noise
, 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: 92013 (1)
Galkowski T., Kernel estimation of regression functions in the boundary regions. (16)
Kernel estimation of regression functions in the boundary regions
, 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: 162012 (1)
Galkowski T., Starczewski A., An application of the self-organizing map to multiple view unsupervised learning. (1)
An application of the self-organizing map to multiple view unsupervised learning
, 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: 12008 (1)
Cpalka K., Rebrova O., Galkowski T., Rutkowski L., On differential stroke diagnosis by neuro-fuzzy structures. (1)
On differential stroke diagnosis by neuro-fuzzy structures
, 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: 11986 (1)
Galkowski T., Rutkowski L., Nonparametric Fitting of Multivariate Functions. (64)
Nonparametric Fitting of Multivariate Functions
, Nonparametric Fitting of Multivariate Functions, IEEE Transactions on Automatic Control, 31, 31, 785-787, 1986, Cites: 641985 (1)
Galkowski T., Rutkowski L., Nonparametric Recovery of Multivariate Functions with Applications to System Identification. (62)
Nonparametric Recovery of Multivariate Functions with Applications to System Identification
, Nonparametric Recovery of Multivariate Functions with Applications to System Identification, Proceedings of the IEEE, 73, 73, 942-943, 1985, Cites: 621983 (1)
Galkowski Tomasz, Rutkowski Leszek, NEW ALGORITHM FOR SHAPE ANALYSIS - THE MULTIDIMENSIONAL CASE.. (0)
