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Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus-Robert Müller
In recent years, machine learning (ML) has become a key enabling technology for the sciences and industry. Especially through improvements in methodology, the availability of large…
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder +3
Current learning machines have successfully solved hard application problems, reaching high accuracy and displaying seemingly "intelligent" behavior. Here we apply recent technique…
Feature Importance Measure for Non-linear Learning Algorithms
Marina M. -C. Vidovic, Nico Görnitz, Klaus-Robert Müller +1
Complex problems may require sophisticated, non-linear learning methods such as kernel machines or deep neural networks to achieve state of the art prediction accuracies. However,…