3 papers
cs.LG2025
Evaluation of Multi- and Single-objective Learning Algorithms for Imbalanced Data
Szymon Wojciechowski, Michał Woźniak
Many machine learning tasks aim to find models that work well not for a single, but for a group of criteria, often opposing ones. One such example is imbalanced data classification…
cs.LG2025
How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
Paweł Zyblewski, Szymon Wojciechowski
The successes achieved by deep neural networks in computer vision tasks have led in recent years to the emergence of a new research area dubbed Multi-Dimensional Encoding (MDE). Me…
cs.LG2024
-plot -- a visual tool for evaluating imbalanced data classifiers
Szymon Wojciechowski, Michał Woźniak
One of the significant problems associated with imbalanced data classification is the lack of reliable metrics. This runs primarily from the fact that for most real-life (as well a…