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ORCIDJohannes Rabold
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2020 – today
- 2024
[i5]Bettina Finzel, Patrick Hilme, Johannes Rabold, Ute Schmid:
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX. CoRR abs/2405.01661 (2024)- 2022
- [j2]Johannes Rabold
:
A Neural-Symbolic Approach for Explanation Generation Based on Sub-concept Detection: An Application of Metric Learning for Low-Time-Budget Labeling. Künstliche Intell. 36(3): 225-235 (2022) - [j1]Johannes Rabold, Michael Siebers, Ute Schmid:
Generating contrastive explanations for inductive logic programming based on a near miss approach. Mach. Learn. 111(5): 1799-1820 (2022) - 2021
- [i4]Johannes Rabold, Gesina Schwalbe, Ute Schmid:
Expressive Explanations of DNNs by Combining Concept Analysis with ILP. CoRR abs/2105.07371 (2021) - [i3]Johannes Rabold, Michael Siebers, Ute Schmid:
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach. CoRR abs/2106.08064 (2021) - 2020
- [c4]Johannes Rabold, Gesina Schwalbe, Ute Schmid:
Expressive Explanations of DNNs by Combining Concept Analysis with ILP. KI 2020: 148-162
2010 – 2019
- 2019
- [c3]Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid:
Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data. PKDD/ECML Workshops (1) 2019: 147-158 - [c2]Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid:
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph. PKDD/ECML Workshops (1) 2019: 180-192 - [i2]Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid:
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph. CoRR abs/1910.01837 (2019) - [i1]Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid:
Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data. CoRR abs/1910.07856 (2019) - 2018
- [c1]Johannes Rabold, Michael Siebers, Ute Schmid:
Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules. ILP 2018: 105-117
Coauthor Index
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