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Nele Sophie Brügge

3 accepted papers

2023

Towards Privacy and Utility in Tourette TIC Detection Through Pretraining Based on Publicly Available Video Data of Healthy Subjects

ICASSP 2023accepted

Data privacy is typically particularly difficult to achieve in medical applications of machine learning, despite its importance in this area. The datasets are often small, which is why machine learning models such as neural networks tend to memorize information about the training data. This allows c…

Cited by 3SourceScholar
2022

Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants

ICASSP 2022accepted

Preterm birth is the leading cause of infant mortality. Consequently, preterm infants require special attention and medical care, with sleep being a central element for the development of cognitive functions. Studies on neonatal sleep suggest that the pattern of their sleep stages is determined by a…

Cited by 0SourceScholar
2019

Forked Recurrent Neural Network for Hand Gesture Classification Using Inertial Measurement Data

ICASSP 2019accepted

For many applications of hand gesture recognition, a delay-free, affordable, and mobile system relying on body signals is mandatory. Therefore, we propose an approach for hand gestures classification given signals of inertial measurement units (IMUs) that works with extremely short windows to avoid…

Cited by 4SourceScholar