4 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
Targeted Data Augmentation for bias mitigation
Agnieszka Mikołajczyk-Bareła, Maria Ferlin, Michał Grochowski
The development of fair and ethical AI systems requires careful consideration of bias mitigation, an area often overlooked or ignored. In this study, we introduce a novel and effic…
A survey on bias in machine learning research
Agnieszka Mikołajczyk-Bareła, Michał Grochowski
Current research on bias in machine learning often focuses on fairness, while overlooking the roots or causes of bias. However, bias was originally defined as a "systematic error,"…
Review of methods for automatic cerebral microbleeds detection
Maria Ferlin, Zuzanna Klawikowska, Michał Grochowski +2
Cerebral microbleeds detection is an important and challenging task. With the gaining popularity of the MRI, the ability to detect cerebral microbleeds also raises. Unfortunately,…