Johannes Rabold

Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph pdf

Michael Siebers, Ute Schmid, Johannes Rabold, 2019, PKDD/ECML Workshops.

A Neural-Symbolic Approach for Explanation Generation Based on Sub-concept Detection: An Application of Metric Learning for Low-Time-Budget Labeling

Johannes Rabold, 2022, KI - Künstliche Intelligenz.

Generating contrastive explanations for inductive logic programming based on a near miss approach pdf

Michael Siebers, Johannes Rabold, Ute Schmid, 2021, Machine Learning.

Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules

Michael Siebers, Ute Schmid, Johannes Rabold, 2018, ILP.

Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data

Ute Schmid, Johannes Rabold, Oliver Scholz, 2019, PKDD/ECML Workshops.