Search Results for author:
Found 4 papers, 2 papers with code
Targeted Data Augmentation for bias mitigation
The development of fair and ethical AI systems requires careful consideration of bias mitigation, an area often overlooked or ignored.
Review of methods for automatic cerebral microbleeds detection
Cerebral microbleeds detection is an important and challenging task.
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
Labeling is the cornerstone of supervised machine learning, which has been exploited in a plethora of various applications, with sign language recognition being one of them.
Waste detection in Pomerania: non-profit project for detecting waste in environment
Our team conducted comprehensive research on Artificial Intelligence usage in waste detection and classification to fight the world's waste pollution problem.
Ranked #1 on
Object Detection
on Extended TACO-1
