24 results on '"Ute Schmid"'
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2. Can humans teach machines to code?
3. When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX.
4. Comprehensible Artificial Intelligence on Knowledge Graphs: A survey.
5. Locally Testing Model Detections for Semantic Global Concepts.
6. CoLa-DCE - Concept-guided Latent Diffusion Counterfactual Explanations.
7. Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data.
8. Explaining Hate Speech Classification with Model Agnostic Methods.
9. Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.
10. Explanatory machine learning for sequential human teaching.
11. Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation.
12. CAIPI in Practice: Towards Explainable Interactive Medical Image Classification.
13. An Interactive Explanatory AI System for Industrial Quality Control.
14. CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition.
15. Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks.
16. Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach.
17. Explanation as a process: user-centric construction of multi-level and multi-modal explanations.
18. Expressive Explanations of DNNs by Combining Concept Analysis with ILP.
19. Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives.
20. Verifying Deep Learning-based Decisions for Facial Expression Recognition.
21. Beneficial and Harmful Explanatory Machine Learning.
22. Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph.
23. Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data.
24. Grounding Hierarchical Reinforcement Learning Models for Knowledge Transfer.
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