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Chapter and Conference Paper
EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features
One of the most widely adopted approaches for eXplainable Artificial Intelligence (XAI) involves employing of Shapley values (SVs) to determine the relative importance of input features. While based on a solid...
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Chapter and Conference Paper
Towards Explainable Deep Domain Adaptation
In many practical applications data used for training a machine learning model and the deployment data does not always preserve the same distribution. Transfer learning and, in particular, domain adaptation al...
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Article
Open AccessWisdom of the contexts: active ensemble learning for contextual anomaly detection
In contextual anomaly detection, an object is only considered anomalous within a specific context. Most existing methods use a single context based on a set of user-specified contextual features. However, iden...
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Article
Open AccessSelf-monitoring for maintenance of vehicle fleets
An approach for intelligent monitoring of mobile cyberphysical systems is described, based on consensus among distributed self-organised agents. Its usefulness is experimentally demonstrated over a long-time c...
