Search Results for author: Ute Schmid

Found 8 papers, 2 papers with code

Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach

no code implementations15 Jun 2021 Johannes Rabold, Michael Siebers, Ute Schmid

Such near misses have been proposed by Winston (1970) as efficient guidance for learning in relational domains.

Inductive logic programming

Beneficial and Harmful Explanatory Machine Learning

no code implementations9 Sep 2020 Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid

USML is demonstrated by a measurable increase in human performance of a task following provision to the human of a symbolic machine learned theory for task performance.

Verifying Deep Learning-based Decisions for Facial Expression Recognition

no code implementations14 Feb 2020 Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid

Finally, we quantify these visual explanations based on a bounding-box method with respect to facial regions.

Facial Expression Recognition

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

1 code implementation17 Oct 2019 Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid

Quick-Shift resulted in the least and Compact-Watershed in the highest correspondence with the reference relevance areas.

Image Classification

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