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Found 3 papers, 1 papers with code
Ontology-driven weak supervision for clinical entity classification in electronic health records
In the electronic health record, using clinical notes to identify entities such as disorders and their temporality (e. g. the order of an event relative to a time index) can inform many important analyses.
Multi-Resolution Weak Supervision for Sequential Data
Multi-resolution sources exacerbate this challenge due to complex correlations and sample complexity that scales in the length of the sequence.
Weak Supervision for Time Series: Wearable Sensor Classification with Limited Labeled Data
Using modern deep learning models to make predictions on time series data from wearable sensors generally requires large amounts of labeled data.
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