165 citations · 253 across the 16 of their papers we have counts for
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cs.LG2022★ 2 cited
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan, Klaus Broelemann, Gjergji Kasneci +2
As input data distributions evolve, the predictive performance of machine learning models tends to deteriorate. In the past, predictive performance was considered the key indicator…
cs.LG2022★ 7 cited
Dynamic Model Tree for Interpretable Data Stream Learning
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Data streams are ubiquitous in modern business and society. In practice, data streams may evolve over time and cannot be stored indefinitely. Effective and transparent machine lear…