Johannes Rabold

11 papers B 1Misc 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX.
CoRR
Bettina Finzel, Patrick Hilme, Johannes Rabold, Ute Schmid
2022 J jnl
A Neural-Symbolic Approach for Explanation Generation Based on Sub-concept Detection: An Application of Metric Learning for Low-Time-Budget Labeling.
Künstliche Intell.
Johannes Rabold
2022 J jnl
Generating contrastive explanations for inductive logic programming based on a near miss approach.
Mach. Learn.
Johannes Rabold, Michael Siebers, Ute Schmid
2021 J jnl
Expressive Explanations of DNNs by Combining Concept Analysis with ILP.
CoRR
Johannes Rabold, Gesina Schwalbe, Ute Schmid
2021 J jnl
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach.
CoRR
Johannes Rabold, Michael Siebers, Ute Schmid
2020 Misc conf
Expressive Explanations of DNNs by Combining Concept Analysis with ILP.
KI
Johannes Rabold, Gesina Schwalbe, Ute Schmid
2019 — conf
Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data.
PKDD/ECML Workshops (1)
Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid
2019 J jnl
Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data.
CoRR
Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid
2019 — conf
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph.
PKDD/ECML Workshops (1)
Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
2019 J jnl
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph.
CoRR
Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
2018 B conf
Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules.
ILP
Johannes Rabold, Michael Siebers, Ute Schmid