Johannes Rabold
Johannes Rabold
Verified email at uni-bamberg.de - Homepage
Title
Cited by
Cited by
Year
Enriching visual with verbal explanations for relational concepts–combining LIME with Aleph
J Rabold, H Deininger, M Siebers, U Schmid
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
252019
Explaining black-box classifiers with ILP–empowering LIME with Aleph to approximate non-linear decisions with relational rules
J Rabold, M Siebers, U Schmid
International Conference on Inductive Logic Programming, 105-117, 2018
202018
Effect of Superpixel Aggregation on Explanations in LIME–A Case Study with Biological Data
L Schallner, J Rabold, O Scholz, U Schmid
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
32019
Expressive Explanations of DNNs by Combining Concept Analysis with ILP
J Rabold, G Schwalbe, U Schmid
German Conference on Artificial Intelligence (Künstliche Intelligenz), 148-162, 2020
22020
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach
J Rabold, M Siebers, U Schmid
arXiv preprint arXiv:2106.08064, 2021
2021
Angewandte Informatik Seminar KI: gestern, heute, morgen
DE künstlicher neuronaler Netze
2016
Enriching LIME with Inductive Logic Programming: Explaining Deep Learning Classifiers with Logic Rules in a Companion System Framework
J Rabold, U Schmid
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