Franz Krause


B6, 26, Room B 0.02

Phone:+49 (0) 621 / 181–2572

franz.krause (at)

Consultation hours by appointment−0003−2869−6815

Areas of research and interest

  • Machine Learning Applications on Linked Data
  • Dynamics of Knowledge Graph Embeddings
  • Explainability of AI Decisions
  • Applied Graph Theory

Projects - Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing



F. Krause

Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions (PREPRINT)

Accepted in the Proceedings of the Extended Semantic Web Conference (ESWC'22) – to be published


A. Nguyen, F. Krause, D. Hagenmayer, M. Färber

Quantifying Explanations of Neural Networks in E-Commerce Based on LRP

Proceedings of Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'21), Springer, Juli, 2021