Franz Krause – PhD Researcher

B6, 26, Room B 0.02

franz.krause (at) uni-mannheim.de

linkedin.com/in/franzkrause

Areas of research and interest

  • Machine Learning Applications on Linked Data
  • Dynamization of Knowledge Graph Embeddings
  • Knowledge Graph Application and Implementation in Industrial Settings
  • Explainability of ML & AI Predictions
  • Applied Graph Theory

Projects

teaming.ai – Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing (Role: Technical Lead)

Publications

2024

M. Schlechtinger, D. Kosack, F. Krause, H. Paulheim

By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning (to be published)

Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24)

2024

F. Krause, H. Paulheim, E. Kiesling, K. Kurniawan, M. Leva, H. Estrada-Lugo, G. Stübl, N. Ure, J. Dominguez-Ledo, M. Khan, P. Demolder, H. Gaux, B. Heinzl, T. Hoch, J. Martinez-Gil, A. Silvina, B. Moser

Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs: Key Challenges and Lessons Learned (to be published)

Jornal Contribution to Frontiers in Artificial Intellignece (2024)

2024

B. Heinzl, A. Silvina, F. Krause, N. Schwarz, K. Kurniawan, E. Kiesling, M. Pichler, B. Moser

Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry​​​​​​​

Proceedings of the International Conference on Software Quality (SWQD 2024)

2023

J. Gil, T. Hoch, M. Pichler, B. Heinzl, B. Moser, K. Kurniawan, E. Kiesling, F. Krause

Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review​​​​​​​​​​​​​​

Chapter contribution to Artificial Intelligence in Manufacturing, published by Springer (2023)

2023

F. Krause, K. Kurniawan, E. Kiesling, J. Gil, M. Pichler, B. Heinzl, and B. Moser

Leveraging Semantic Representations via Knowledge Graph Embeddings

Chapter contribution to Artificial Intelligence in Manufacturing, published by Springer (2023)

2023

F. Krause, K. Kurniawan, E. Kiesling, H. Paulheim and A. Polleres

On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs

Proceedings of the 5th Ibero-American Knowledge Graph and Semantic Web Conference (KGSWC 2023)

2023

F. Krause, X. Yan, B. Darnala, and M. Dumontier

On the Combination of Event Calculus and Empirical Semantic Drifts

Proceedings of Semantic Methods for Events and Stories co-located with ESWC (SEMMES 2023)

2023

M. Schlechtinger, D. Kosack, H. Paulheim, T. Fetzer, and F. Krause

The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents

Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems 2023 (AAMAS 2023)

2022

F. Krause, T. Weller, and H. Paulheim

On a Generalized Framework for Time-Aware Knowledge Graphs

Proceedings of the 18th International Conference on Semantic Systems 2022 (SEMANTiCS 2022)

2022

F. Krause

Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions

Proceedings of The Semantic Web: ESWC 2022 Satellite Events

2021

A. Nguyen, F. Krause, D. Hagenmayer, and 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 2021 (ECML PKDD'21)

Awards

2022

Best Paper, 18th International Conference on Semantic Systems 2022 (SEMANTiCS 2022) 

2022

Best Scientific Presentation, International Semantic Web Summer School (ISWS) 2022