Franz Krause

According to our database, Franz Krause authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Bernhard Heinzl, Agastya Silvina, Franz Krause, Nicole Schwarz, Kabul Kurniawan, Elmar Kiesling, Mario Pichler, Bernhard Moser

Proceedings of the Software Quality as a Foundation for Security, 2024

By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning.

Michael Schlechtinger, Damaris Kosack, Franz Krause, Heiko Paulheim

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs.

Franz Krause, Kabul Kurniawan, Elmar Kiesling, Heiko Paulheim, Axel Polleres

Proceedings of the Knowledge Graphs and Semantic Web, 2023

On the Combination of Event Calculus and Empirical Semantic Drifts.

Franz Krause, Xi Yan, Baptiste Darnala, Michel Dumontier

Proceedings of the Joint Proceedings of the ESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference (ESWC 2023), 2023

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

Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer, Franz Krause

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

On a Generalized Framework for Time-Aware Knowledge Graphs.

Franz Krause, Tobias Weller, Heiko Paulheim

Proceedings of the Towards a Knowledge-Aware AI - SEMANTiCS 2022, 2022

Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions.

Franz Krause

Proceedings of the Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29, 2022

2021

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

Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021