Search Results for author: Katharina Dost

Found 2 papers, 1 papers with code

Hitting the Target: Stopping Active Learning at the Cost-Based Optimum

1 code implementation7 Oct 2021 Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker

We contribute the first large-scale comparison of stopping criteria, using a cost measure to quantify the accuracy/label trade-off, public implementations of all stopping criteria we evaluate, and an open-source framework for evaluating stopping criteria.

Active Learning

Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning

no code implementations2 May 2021 Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker

This problem is relieved with a technique called Applicability Domain (AD), which rejects the unsuitable compounds for the model.

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