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Ewa Skubalska-Rafajlowicz
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2020 – today
- 2023
- [c30]Ewa Skubalska-Rafajlowicz:
A simple algorithm for computing a multi-dimensional the Sierpinski space-filling curve generalization. FedCSIS (Communication Papers) 2023: 259-264 - 2021
- [c29]Ewa Skubalska-Rafajlowicz
, Ewaryst Rafajlowicz:
Classifying Functional Data from Orthogonal Projections - Model, Properties and Fast Implementation. ICCS (3) 2021: 26-39 - [c28]Ewa Skubalska-Rafajlowicz
An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space When the Dimension of the Space Is Not Known. ICCS (1) 2021: 514-524 - 2020
- [c27]Michal Banach
A Synergy of Freezing and Dropout - A New Learning Strategy of Convolutional Networks. ICAISC (1) 2020: 3-14
2010 – 2019
- 2019
- [c26]Ewa Skubalska-Rafajlowicz
Whole Image and Modular Image Face Classification - What is Really Classified? ICAISC (1) 2019: 616-625 - [c25]Aneta Górniak
Automatic Tissue Type Classification in Large-Scale Microscopic Images Using Zernike Moments. ISAT (2) 2019: 310-319 - 2018
- [c24]Aneta Górniak
Tissue Recognition on Microscopic Images of Histological Sections Using Sequences of Zernike Moments. CISIM 2018: 16-26 - [c23]Ewa Skubalska-Rafajlowicz
Open-Set Face Classification for Access Monitoring Using Spatially-Organized Random Projections. CISIM 2018: 166-177 - [c22]Ewa Skubalska-Rafajlowicz:
Relative Stability of Random Projection-Based Image Classification. ICAISC (1) 2018: 702-713 - 2017
- [c21]Aneta Górniak
Object Classification Using Sequences of Zernike Moments. CISIM 2017: 99-109 - [c20]Ewa Skubalska-Rafajlowicz
Sparse Random Projections of Camera Images for Monitoring of a Combustion Process in a Gas Burner. CISIM 2017: 447-456 - [c19]Ewa Skubalska-Rafajlowicz:
Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network. ICAISC (1) 2017: 165-174 - [c18]Ewa Skubalska-Rafajlowicz:
Modeling dynamical systems using neural networks and random linear projections. KKA 2017: 580-589 - [c17]Ewa Skubalska-Rafajlowicz:
Spatially-organized random projections of images for dimensionality reduction and privacy-preserving classification. nDS 2017: 1-5 - 2016
- [c16]Ewa Skubalska-Rafajlowicz, Aneta Górniak:
Kohonen SOM for Image Slides Sequencing. CISIM 2016: 352-365 - [c15]Ewa Skubalska-Rafajlowicz:
Training Neural Networks by Optimizing Random Subspaces of the Weight Space. ICAISC (1) 2016: 148-157 - 2015
- [c14]Aneta Górniak, Ewa Skubalska-Rafajlowicz:
Registration and Sequencing of Vessels Section Images at Macroscopic Levels. CISIM 2015: 399-410 - 2014
- [j6]Ewa Skubalska-Rafajlowicz:
Estimation of horizontal and vertical translations of large images based on columns and rows mean energy matching. Multidimens. Syst. Signal Process. 25(2): 273-294 (2014) - [c13]Ewa Skubalska-Rafajlowicz:
Small Sample Size in High Dimensional Space - Minimum Distance Based Classification. ICAISC (1) 2014: 610-621 - 2013
- [j5]Ewa Skubalska-Rafajlowicz:
Random projections and Hotelling's T2 statistics for change detection in high-dimensional data streams. Int. J. Appl. Math. Comput. Sci. 23(2): 447-461 (2013) - [c12]Marek Bazan, Ewa Skubalska-Rafajlowicz:
A New Method of Centers Location in Gaussian RBF Interpolation Networks. ICAISC (1) 2013: 20-31 - [c11]Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
Random Sieve Based on Projections for RBF Neural Net Structure Selection. ICAISC (1) 2013: 193-204 - [c10]Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
Deployment of Sensors According to Quasi-Random and Well Distributed Sequences for Nonparametric Estimation of Spatial Means of Random Fields. System Modelling and Optimization 2013: 306-316 - 2012
- [j4]Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
Sampling multidimensional signals by a new class of quasi-random sequences. Multidimens. Syst. Signal Process. 23(1-2): 237-253 (2012) - [c9]Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Ewaryst Rafajlowicz
Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels. ICAISC (1) 2012: 430-438 - 2011
- [c8]Ewa Skubalska-Rafajlowicz:
Detection and estimation translations of large images using random projections. nDS 2011: 1-6 - 2010
- [c7]Ewa Skubalska-Rafajlowicz:
Clustering of Data and Nearest Neighbors Search for Pattern Recognition with Dimensionality Reduction Using Random Projections. ICAISC (1) 2010: 462-470
2000 – 2009
- 2008
- [j3]Ewa Skubalska-Rafajlowicz:
Local Correlation and Entropy Maps as Tools for Detecting Defects in Industrial Images. Int. J. Appl. Math. Comput. Sci. 18(1): 41-47 (2008) - [j2]Ewa Skubalska-Rafajlowicz:
Random Projection RBF Nets for Multidimensional Density Estimation. Int. J. Appl. Math. Comput. Sci. 18(4): 455-464 (2008) - [c6]Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz:
Equidistributed sequences along space-filling curves in sampling of images. EUSIPCO 2008: 1-5 - [c5]Ewaryst Rafajlowicz
MAD Loss in Pattern Recognition and RBF Learning. ICAISC 2008: 671-680 - 2006
- [c4]Ewa Skubalska-Rafajlowicz:
RBF Neural Network for Probability Density Function Estimation and Detecting Changes in Multivariate Processes. ICAISC 2006: 133-141 - 2004
- [c3]Adam Krzyzak, Ewa Skubalska-Rafajlowicz:
Combining Space-Filling Curves and Radial Basis Function Networks. ICAISC 2004: 229-234 - [c2]Ewa Skubalska-Rafajlowicz:
Recurrent Network Structure for Computing Quasi-inverses of the Sierpinski Space-Filling Curves. ICAISC 2004: 272-277 - 2001
- [j1]Ewa Skubalska-Rafajlowicz:
Pattern recognition algorithms based on space-filling curves and orthogonal expansions. IEEE Trans. Inf. Theory 47(5): 1915-1927 (2001)
1990 – 1999
- 1996
- [c1]Ewa Skubalska-Rafajlowicz, Adam Krzyzak:
Fast k-NN classification rule using metric on space-filling curves. ICPR 1996: 121-125
Coauthor Index
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