Wednesday, 09 May 2018, 15:30 at MR3 Centre for Mathematical Sciences – Neural networks are able to reach high accuracies across many different classification tasks. However, these ‘black-box models’ suffer from one drawback: it is generally difficult to assess how the network reached its classification decision. Nevertheless, through different relevance measures, it is possible to determine which parts of the given input …