24 citations · 109 across the 28 of their papers we have counts for
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cs.LG2019★ 1 cited
A probability theoretic approach to drifting data in continuous time domains
Fabian Hinder, André Artelt, Barbara Hammer
The notion of drift refers to the phenomenon that the distribution, which is underlying the observed data, changes over time. Albeit many attempts were made to deal with drift, for…
cs.LG2019★ 17 cited
On the computation of counterfactual explanations -- A survey
André Artelt, Barbara Hammer
Due to the increasing use of machine learning in practice it becomes more and more important to be able to explain the prediction and behavior of machine learning models. An instan…
cs.LG2019★ 11 cited
Efficient computation of counterfactual explanations of LVQ models
André Artelt, Barbara Hammer
The increasing use of machine learning in practice and legal regulations like EU's GDPR cause the necessity to be able to explain the prediction and behavior of machine learning mo…