Stopping rules for active learning

Illustration by Josien Hoetje on deep learning

This research line focuses on developing stopping rules for active learning in the context of active learning for systematic reviews. This includes developing methods for determining when to stop labeling within a dataset, acquiring new data and when to stop updating existing data, as well as developing methods for determining the optimal trade-off between data quality and computational resources.

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