2 papers
cs.LG2021
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach
Johannes Rabold, Michael Siebers, Ute Schmid
In recent research, human-understandable explanations of machine learning models have received a lot of attention. Often explanations are given in form of model simplifications or…
cs.LG2019
Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph
Johannes Rabold, Hannah Deininger, Michael Siebers +1
With the increasing number of deep learning applications, there is a growing demand for explanations. Visual explanations provide information about which parts of an image are rele…