
Convex optimization for actionable & plausible counterfactual explanations
Transparency is an essential requirement of machine learning based decis...
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Contrastive Explanations for Explaining Model Adaptations
Many decision making systems deployed in the real world are not static ...
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Fairness and Robustness of Contrasting Explanations
Fairness and explainability are two important and closely related requir...
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Efficient computation of contrastive explanations
With the increasing deployment of machine learning systems in practice, ...
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Convex Density Constraints for Computing Plausible Counterfactual Explanations
The increasing deployment of machine learning as well as legal regulatio...
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A probability theoretic approach to drifting data in continuous time domains
The notion of drift refers to the phenomenon that the distribution, whic...
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On the computation of counterfactual explanations – A survey
Due to the increasing use of machine learning in practice it becomes mor...
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Efficient computation of counterfactual explanations of LVQ models
With the increasing use of machine learning in practice and because of l...
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André Artelt
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