6 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 ChwilczyÅski, 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 ChwilczyÅski, Kacper TrÄbacz, 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…