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Found 3 papers, 2 papers with code
BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease
This paper introduces BagStacking, a novel ensemble learning method designed to enhance the detection of Freezing of Gait (FOG) in Parkinson's Disease (PD) by using a lower-back sensor to track acceleration.
Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time
Social media platforms have become an essential means of communication, but they also serve as a breeding ground for hateful content.
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Anomaly detection is a well-known task that involves the identification of abnormal events that occur relatively infrequently.
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