Fast k-NN classification rule using metric on space-filling curves. - Ewa Skubalska-Rafajlowicz; Adam Krzyzak (ICPR, 1996)

Pattern recognition algorithms based on space-filling curves and orthogonal expansions. - Ewa Skubalska-Rafajlowicz (IEEE Trans. Inf. Theory, 2001)

Combining Space-Filling Curves and Radial Basis Function Networks. - Adam Krzyzak; Ewa Skubalska-Rafajlowicz (ICAISC, 2004)

Recurrent Network Structure for Computing Quasi-inverses of the Sierpinski Space-Filling Curves. - Ewa Skubalska-Rafajlowicz (ICAISC, 2004)

RBF Neural Network for Probability Density Function Estimation and Detecting Changes in Multivariate Processes. - Ewa Skubalska-Rafajlowicz (ICAISC, 2006)

Equidistributed sequences along space-filling curves in sampling of images. - Ewaryst Rafajlowicz; Ewa Skubalska-Rafajlowicz (EUSIPCO, 2008)

MAD Loss in Pattern Recognition and RBF Learning. - Ewaryst Rafajlowicz; Ewa Skubalska-Rafajlowicz (ICAISC, 2008)

Local Correlation and Entropy Maps as Tools for Detecting Defects in Industrial Images. - Ewa Skubalska-Rafajlowicz (Int. J. Appl. Math. Comput. Sci., 2008)

Random Projection RBF Nets for Multidimensional Density Estimation. - Ewa Skubalska-Rafajlowicz (Int. J. Appl. Math. Comput. Sci., 2008)

Clustering of Data and Nearest Neighbors Search for Pattern Recognition with Dimensionality Reduction Using Random Projections. - Ewa Skubalska-Rafajlowicz (ICAISC (1), 2010)

Detection and estimation translations of large images using random projections. - Ewa Skubalska-Rafajlowicz (nDS, 2011)

Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels. - Ewa Skubalska-Rafajlowicz; Adam Krzyzak; Ewaryst Rafajlowicz (ICAISC (1), 2012)

Sampling multidimensional signals by a new class of quasi-random sequences. - Ewa Skubalska-Rafajlowicz; Ewaryst Rafajlowicz (Multidimens. Syst. Signal Process., 2012)

A New Method of Centers Location in Gaussian RBF Interpolation Networks. - Marek Bazan; Ewa Skubalska-Rafajlowicz (ICAISC (1), 2013)

Random Sieve Based on Projections for RBF Neural Net Structure Selection. - Ewa Skubalska-Rafajlowicz; Ewaryst Rafajlowicz (ICAISC (1), 2013)

Deployment of Sensors According to Quasi-Random and Well Distributed Sequences for Nonparametric Estimation of Spatial Means of Random Fields. - Ewa Skubalska-Rafajlowicz; Ewaryst Rafajlowicz (System Modelling and Optimization, 2013)

Random projections and Hotelling's T2 statistics for change detection in high-dimensional data streams. - Ewa Skubalska-Rafajlowicz (Int. J. Appl. Math. Comput. Sci., 2013)

Small Sample Size in High Dimensional Space - Minimum Distance Based Classification. - Ewa Skubalska-Rafajlowicz (ICAISC (1), 2014)

Estimation of horizontal and vertical translations of large images based on columns and rows mean energy matching. - Ewa Skubalska-Rafajlowicz (Multidimens. Syst. Signal Process., 2014)

Registration and Sequencing of Vessels Section Images at Macroscopic Levels. - Aneta Górniak; Ewa Skubalska-Rafajlowicz (CISIM, 2015)

Kohonen SOM for Image Slides Sequencing. - Ewa Skubalska-Rafajlowicz; Aneta Górniak (CISIM, 2016)

Training Neural Networks by Optimizing Random Subspaces of the Weight Space. - Ewa Skubalska-Rafajlowicz (ICAISC (1), 2016)

Object Classification Using Sequences of Zernike Moments. - Aneta Górniak; Ewa Skubalska-Rafajlowicz (CISIM, 2017)

Sparse Random Projections of Camera Images for Monitoring of a Combustion Process in a Gas Burner. - Ewa Skubalska-Rafajlowicz (CISIM, 2017)

Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network. - Ewa Skubalska-Rafajlowicz (ICAISC (1), 2017)

Modeling dynamical systems using neural networks and random linear projections. - Ewa Skubalska-Rafajlowicz (KKA, 2017)

Spatially-organized random projections of images for dimensionality reduction and privacy-preserving classification. - Ewa Skubalska-Rafajlowicz (nDS, 2017)

Tissue Recognition on Microscopic Images of Histological Sections Using Sequences of Zernike Moments. - Aneta Górniak; Ewa Skubalska-Rafajlowicz (CISIM, 2018)

Open-Set Face Classification for Access Monitoring Using Spatially-Organized Random Projections. - Ewa Skubalska-Rafajlowicz (CISIM, 2018)

Relative Stability of Random Projection-Based Image Classification. - Ewa Skubalska-Rafajlowicz (ICAISC (1), 2018)

Whole Image and Modular Image Face Classification - What is Really Classified? - Ewa Skubalska-Rafajlowicz (ICAISC (1), 2019)

Automatic Tissue Type Classification in Large-Scale Microscopic Images Using Zernike Moments. - Aneta Górniak; Ewa Skubalska-Rafajlowicz (ISAT (2), 2019)

A Synergy of Freezing and Dropout - A New Learning Strategy of Convolutional Networks. - Michal Banach; Ewa Skubalska-Rafajlowicz (ICAISC (1), 2020)

An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space When the Dimension of the Space Is Not Known. - Ewa Skubalska-Rafajlowicz; Wojciech Rafajlowicz (ICCS (1), 2021)

Classifying Functional Data from Orthogonal Projections - Model, Properties and Fast Implementation. - Ewa Skubalska-Rafajlowicz; Ewaryst Rafajlowicz (ICCS (3), 2021)

A simple algorithm for computing a multi-dimensional the Sierpinski space-filling curve generalization. - Ewa Skubalska-Rafajlowicz (FedCSIS (Communication Papers), 2023)

More Individualized Survival Function Estimation Using Training Data Clustering. - Wojciech Rafajlowicz; Ewaryst Rafajlowicz; Ewa Skubalska-Rafajlowicz; Magda Skoczen; Slawomir Zmonarski (ICAISC (2), 2024)

Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data. - Ewa Skubalska-Rafajlowicz; Adam Krzyzak; Michal Piórek (ICAISC (2), 2024)