Ewa Skubalska-Rafajlowicz

38 papers B 1Misc 4Journal 6Unranked 27
YearRankTypeTitle / Venue / Authors
2024 — conf
Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data.
ICAISC (2)
Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Michal Piórek
2024 — conf
More Individualized Survival Function Estimation Using Training Data Clustering.
ICAISC (2)
Wojciech Rafajlowicz, Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz, Magda Skoczen, Slawomir Zmonarski
2023 — conf
A simple algorithm for computing a multi-dimensional the Sierpinski space-filling curve generalization.
FedCSIS (Communication Papers)
Ewa Skubalska-Rafajlowicz
2021 — conf
An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space When the Dimension of the Space Is Not Known.
ICCS (1)
Ewa Skubalska-Rafajlowicz, Wojciech Rafajlowicz
2021 — conf
Classifying Functional Data from Orthogonal Projections - Model, Properties and Fast Implementation.
ICCS (3)
Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
2020 — conf
A Synergy of Freezing and Dropout - A New Learning Strategy of Convolutional Networks.
ICAISC (1)
Michal Banach, Ewa Skubalska-Rafajlowicz
2019 — conf
Automatic Tissue Type Classification in Large-Scale Microscopic Images Using Zernike Moments.
ISAT (2)
Aneta Górniak, Ewa Skubalska-Rafajlowicz
2019 — conf
Whole Image and Modular Image Face Classification - What is Really Classified?
ICAISC (1)
Ewa Skubalska-Rafajlowicz
2018 — conf
Open-Set Face Classification for Access Monitoring Using Spatially-Organized Random Projections.
CISIM
Ewa Skubalska-Rafajlowicz
2018 — conf
Relative Stability of Random Projection-Based Image Classification.
ICAISC (1)
Ewa Skubalska-Rafajlowicz
2018 — conf
Tissue Recognition on Microscopic Images of Histological Sections Using Sequences of Zernike Moments.
CISIM
Aneta Górniak, Ewa Skubalska-Rafajlowicz
2017 — conf
Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network.
ICAISC (1)
Ewa Skubalska-Rafajlowicz
2017 — conf
Modeling dynamical systems using neural networks and random linear projections.
KKA
Ewa Skubalska-Rafajlowicz
2017 — conf
Object Classification Using Sequences of Zernike Moments.
CISIM
Aneta Górniak, Ewa Skubalska-Rafajlowicz
2017 — conf
Sparse Random Projections of Camera Images for Monitoring of a Combustion Process in a Gas Burner.
CISIM
Ewa Skubalska-Rafajlowicz
2017 — conf
Spatially-organized random projections of images for dimensionality reduction and privacy-preserving classification.
nDS
Ewa Skubalska-Rafajlowicz
2016 — conf
Kohonen SOM for Image Slides Sequencing.
CISIM
Ewa Skubalska-Rafajlowicz, Aneta Górniak
2016 — conf
Training Neural Networks by Optimizing Random Subspaces of the Weight Space.
ICAISC (1)
Ewa Skubalska-Rafajlowicz
2015 — conf
Registration and Sequencing of Vessels Section Images at Macroscopic Levels.
CISIM
Aneta Górniak, Ewa Skubalska-Rafajlowicz
2014 J jnl
Estimation of horizontal and vertical translations of large images based on columns and rows mean energy matching.
Multidimens. Syst. Signal Process.
Ewa Skubalska-Rafajlowicz
2014 — conf
Small Sample Size in High Dimensional Space - Minimum Distance Based Classification.
ICAISC (1)
Ewa Skubalska-Rafajlowicz
2013 — conf
A New Method of Centers Location in Gaussian RBF Interpolation Networks.
ICAISC (1)
Marek Bazan, Ewa Skubalska-Rafajlowicz
2013 — conf
Deployment of Sensors According to Quasi-Random and Well Distributed Sequences for Nonparametric Estimation of Spatial Means of Random Fields.
System Modelling and Optimization
Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
2013 — conf
Random Sieve Based on Projections for RBF Neural Net Structure Selection.
ICAISC (1)
Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
2013 J jnl
Random projections and Hotelling's T2 statistics for change detection in high-dimensional data streams.
Int. J. Appl. Math. Comput. Sci.
Ewa Skubalska-Rafajlowicz
2012 — conf
Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels.
ICAISC (1)
Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Ewaryst Rafajlowicz
2012 J jnl
Sampling multidimensional signals by a new class of quasi-random sequences.
Multidimens. Syst. Signal Process.
Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz
2011 — conf
Detection and estimation translations of large images using random projections.
nDS
Ewa Skubalska-Rafajlowicz
2010 — conf
Clustering of Data and Nearest Neighbors Search for Pattern Recognition with Dimensionality Reduction Using Random Projections.
ICAISC (1)
Ewa Skubalska-Rafajlowicz
2008 — conf
Equidistributed sequences along space-filling curves in sampling of images.
EUSIPCO
Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz
2008 J jnl
Local Correlation and Entropy Maps as Tools for Detecting Defects in Industrial Images.
Int. J. Appl. Math. Comput. Sci.
Ewa Skubalska-Rafajlowicz
2008 Misc conf
MAD Loss in Pattern Recognition and RBF Learning.
ICAISC
Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz
2008 J jnl
Random Projection RBF Nets for Multidimensional Density Estimation.
Int. J. Appl. Math. Comput. Sci.
Ewa Skubalska-Rafajlowicz
2006 Misc conf
RBF Neural Network for Probability Density Function Estimation and Detecting Changes in Multivariate Processes.
ICAISC
Ewa Skubalska-Rafajlowicz
2004 Misc conf
Combining Space-Filling Curves and Radial Basis Function Networks.
ICAISC
Adam Krzyzak, Ewa Skubalska-Rafajlowicz
2004 Misc conf
Recurrent Network Structure for Computing Quasi-inverses of the Sierpinski Space-Filling Curves.
ICAISC
Ewa Skubalska-Rafajlowicz
2001 J jnl
Pattern recognition algorithms based on space-filling curves and orthogonal expansions.
IEEE Trans. Inf. Theory
Ewa Skubalska-Rafajlowicz
1996 B conf
Fast k-NN classification rule using metric on space-filling curves.
ICPR
Ewa Skubalska-Rafajlowicz, Adam Krzyzak