Ute Schmid
Otto-Friedrich-Universität Bamberg
H-index: 31
Europe-Germany
Top articles of Ute Schmid
Can humans teach machines to code?
arXiv preprint arXiv:2404.19397
2024/4/30
Artificial Intelligence. ECAI 2023 International Workshops: XAI^ 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30–October 4, 2023 …
2024/1/20
Mauro Vallati
H-Index: 18
Paweł Skruch
H-Index: 8
Joanna Jaworek-Korjakowska
H-Index: 10
Simon Parkinson
H-Index: 10
Alexandros Nikitas
H-Index: 17
Tomáš Kliegr
H-Index: 10
Ute Schmid
H-Index: 15
Szymon Bobek
H-Index: 12
Saskia Robben
H-Index: 8
Karl Mason
H-Index: 3
Abdul Wahid
H-Index: 3
Pierangela Bruno
H-Index: 4
Francesco Calimeri
H-Index: 15
Francesco Cauteruccio
H-Index: 7
Giorgio Terracina
H-Index: 13
Diedrich Wolter
H-Index: 12
Michael Kohlhase
H-Index: 19
Vania Dimitrova
H-Index: 15
Approaches and Applications of Inductive Programming (Dagstuhl Seminar 23442)
2021
Trustworthy Artificial Intelligence: Comprehensible, Transparent and Correctable
Hannes Werthner· Carlo Ghezzi· Jeff Kramer· Julian Nida-Rümelin· Bashar Nuseibeh· Erich Prem·
2024
Ute Schmid
H-Index: 15
Inductive Logic Programming for explainable graph clustering
2023/12/1
Ute Schmid
H-Index: 15
Comprehensible artificial intelligence on knowledge graphs: A survey
Journal of Web Semantics
2023/12/1
Ute Schmid
H-Index: 15
FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction
Machine Learning and Knowledge Extraction
2023/10/18
Stephan Scheele
H-Index: 3
Ute Schmid
H-Index: 15
Explanatory machine learning for sequential human teaching
Machine Learning
2023/10
Ute Schmid
H-Index: 15
Bayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning
2023/9/30
Stephan Scheele
H-Index: 3
Ute Schmid
H-Index: 15
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data
2023/9/1
Ute Schmid
H-Index: 15
Domain-specific evaluation of visual explanations for application-grounded facial expression recognition
2023/8/22
Cluster Robust Inference for Embedding-Based Knowledge Graph Completion
2023/8/9
Ute Schmid
H-Index: 15
Toward human-level concept learning: Pattern benchmarking for AI algorithms
2023/7/5
ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories
IEEE Transactions on Visualization and Computer Graphics
2023/6/19
Explaining hate speech classification with model agnostic methods
arXiv preprint arXiv:2306.00021
2023/5/30
Durgesh Nandini
H-Index: 3
Ute Schmid
H-Index: 15
DIN SPEC 92001-3 Artificial Intelligence-Life Cycle Processes and Quality Requirements-Part 3: Explainability
2023
Positionspapier der Gesellschaft für Informatik eV (GI): Künstliche Intelligenz in der Bildung
2023
Tilman Michaeli
H-Index: 4
Ute Schmid
H-Index: 15
Explainable online lane change predictions on a digital twin with a layer normalized lstm and layer-wise relevance propagation
2022/7/19
Ute Schmid
H-Index: 15
An interactive explanatory AI system for industrial quality control
Proceedings of the AAAI Conference on Artificial Intelligence
2022/6/28
Female, white, 27? bias evaluation on data and algorithms for affect recognition in faces
2022/6/21
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