| 2024 | ICAISC | More Individualized Survival Function Estimation Using Training Data Clustering. | Wojciech Rafajlowicz, Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz, Magda Skoczen, Slawomir Zmonarski |
| 2024 | ICAISC | Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data. | Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Michal Pirek |
| 2023 | FedCSIS | A simple algorithm for computing a multi-dimensional the Sierpinski space-filling curve generalization. | Ewa Skubalska-Rafajlowicz |
| 2021 | ICCS | 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 |
| 2021 | ICCS | Classifying Functional Data from Orthogonal Projections - Model, Properties and Fast Implementation. | Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz |
| 2020 | ICAISC | A Synergy of Freezing and Dropout - A New Learning Strategy of Convolutional Networks. | Michal Banach, Ewa Skubalska-Rafajlowicz |
| 2019 | ICAISC | Whole Image and Modular Image Face Classification - What is Really Classified? | Ewa Skubalska-Rafajlowicz |
| 2018 | ICAISC | Relative Stability of Random Projection-Based Image Classification. | Ewa Skubalska-Rafajlowicz |
| 2017 | ICAISC | Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network. | Ewa Skubalska-Rafajlowicz |
| 2016 | ICAISC | Training Neural Networks by Optimizing Random Subspaces of the Weight Space. | Ewa Skubalska-Rafajlowicz |
| 2014 | ICAISC | Small Sample Size in High Dimensional Space - Minimum Distance Based Classification. | Ewa Skubalska-Rafajlowicz |
| 2013 | ICAISC | A New Method of Centers Location in Gaussian RBF Interpolation Networks. | Marek Bazan, Ewa Skubalska-Rafajlowicz |
| 2013 | ICAISC | Random Sieve Based on Projections for RBF Neural Net Structure Selection. | Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz |
| 2012 | ICAISC | Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels. | Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Ewaryst Rafajlowicz |
| 2010 | ICAISC | Clustering of Data and Nearest Neighbors Search for Pattern Recognition with Dimensionality Reduction Using Random Projections. | Ewa Skubalska-Rafajlowicz |
| 2008 | ICAISC | MAD Loss in Pattern Recognition and RBF Learning. | Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz |
| 2006 | ICAISC | RBF Neural Network for Probability Density Function Estimation and Detecting Changes in Multivariate Processes. | Ewa Skubalska-Rafajlowicz |
| 2004 | ICAISC | Combining Space-Filling Curves and Radial Basis Function Networks. | Adam Krzyzak, Ewa Skubalska-Rafajlowicz |
| 2004 | ICAISC | Recurrent Network Structure for Computing Quasi-inverses of the Sierpinski Space-Filling Curves. | Ewa Skubalska-Rafajlowicz |
| 1996 | ICPR | Fast k-NN classification rule using metric on space-filling curves. | Ewa Skubalska-Rafajlowicz, Adam Krzyzak |