43 citations · 89 across the 9 of their papers we have counts for
5 papers · 1 filter
Random Similarity Isolation Forests
Sebastian Chwilczyński, Dariusz Brzezinski
With predictive models becoming prevalent, companies are expanding the types of data they gather. As a result, the collected datasets consist not only of simple numerical features…
Properties of fairness measures in the context of varying class imbalance and protected group ratios
Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski +5
Society is increasingly relying on predictive models in fields like criminal justice, credit risk management, or hiring. To prevent such automated systems from discriminating again…
ART: Actually Robust Training
Sebastian Chwilczyński, Kacper Trębacz, Karol Cyganik +2
Current interest in deep learning captures the attention of many programmers and researchers. Unfortunately, the lack of a unified schema for developing deep learning models result…
Random Similarity Forests
Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki
The wealth of data being gathered about humans and their surroundings drives new machine learning applications in various fields. Consequently, more and more often, classifiers are…
Fibonacci and k-Subsecting Recursive Feature Elimination
Dariusz Brzezinski
Feature selection is a data mining task with the potential of speeding up classification algorithms, enhancing model comprehensibility, and improving learning accuracy. However, fi…