| Comprehensible artificial intelligence on knowledge graphs: A survey S Schramm, C Wehner, U Schmid Journal of Web Semantics 79, 100806, 2023 | 16 | 2023 |
| Methods to analyze customer usage data in a product decision process: A systematic literature review C Micus, S Schramm, M Boehm, H Krcmar Operations Research Perspectives, 100277, 2023 | 6 | 2023 |
| Orthogonal Procrustes and Machine Learning: Predicting Bill of Material Errors on Time S Schramm, M Pieper, S Vogl Computers & Industrial Engineering, 2023 | 2 | 2023 |
| Inductive Logic Programming for explainable graph clustering S Schramm, U Schmid 2023 IEEE International Conference on Knowledge Graph (ICKG), 235-242, 2023 | | 2023 |
| Constructing the Simple Timeseries Event Model S Schramm 2023 IEEE International Conference on Knowledge Graph (ICKG), 134-141, 2023 | | 2023 |
| Cluster Robust Inference for Embedding-Based Knowledge Graph Completion S Schramm, U Niklas, U Schmid International Conference on Knowledge Science, Engineering and Management …, 2023 | | 2023 |
Ute SchmidProfessor of Cognitive Systems, University of Bamberg在 uni-bamberg.de 的电子邮件经过验证
