43 citations · 89 across the 9 of their papers we have counts for
10 papers
DeLux: Cross-Modal Local Artifact Restoration in Video Using Neuromorphic Data
Bartosz Stachowiak, Dariusz Brzezinski
Conventional RGB cameras suffer from lighting artifacts such as flare, glare, flicker, and overexposure, leading to irrecoverable information loss that necessitates computational r…
Among Them: A game-based framework for assessing persuasion capabilities of LLMs
Mateusz Idziejczak, Vasyl Korzavatykh, Mateusz Stawicki +4
The proliferation of large language models (LLMs) and autonomous AI agents has raised concerns about their potential for automated persuasion and social influence. While existing r…
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…
Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings
Robert Susmaga, Izabela Szczech, Dariusz Brzezinski
Multi-Criteria Decision Analysis (MCDA) is extensively used across diverse industries to assess and rank alternatives. Among numerous MCDA methods developed to solve real-world ran…
confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning
Antoni Klorek, Karol Roszak, Izabela Szczech +1
Machine learning applications, especially in the fields of me\-di\-cine and social sciences, are slowly being subjected to increasing scrutiny. Similarly to sample size planning pe…
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…
Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga +1
With a plethora of available classification performance measures, choosing the right metric for the right task requires careful thought. To make this decision in an informed manner…