AI Synergies

Speakers

Nick Seeuws

PhD student

Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification 

Labeled data is costly to gather in a biomedical context while unlabeled data can be obtained as byproduct of routine measurements. With neonatal sleep monitoring as use case we aim to improve upon previous machine learning approaches by leveraging unlabeled data. 


Biography

I investigate AI-assisted methods to assess data quality with a focus on biomedical signal processing. 

Program

TBA
TBA
TBA

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

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