105 citations · 156 across the 6 of their papers we have counts for
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stat.ML2023★ 105 cited
Active learning for data streams: a survey
Davide Cacciarelli, Murat Kulahci
Online active learning is a paradigm in machine learning that aims to select the most informative data points to label from a data stream. The problem of minimizing the cost associ…
stat.ML2023★ 16 cited
Robust online active learning
Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal
In many industrial applications, obtaining labeled observations is not straightforward as it often requires the intervention of human experts or the use of expensive testing equipm…