Quantifying Explanations of Neural Networks in E-Commerce Based on LRP. - Anna Nguyen; Franz Krause; Daniel Hagenmayer; Michael Färber 001 (ECML/PKDD (5), 2021)

Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions. - Franz Krause (ESWC (Satellite Events), 2022)

On a Generalized Framework for Time-Aware Knowledge Graphs. - Franz Krause; Tobias Weller; Heiko Paulheim (SEMANTiCS, 2022)

The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents. - Michael Schlechtinger; Damaris Kosack; Heiko Paulheim; Thomas Fetzer; Franz Krause (AAMAS, 2023)

On the Combination of Event Calculus and Empirical Semantic Drifts. - Franz Krause; Xi Yan; Baptiste Darnala; Michel Dumontier (ESWC Workshops, 2023)

On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs. - Franz Krause; Kabul Kurniawan; Elmar Kiesling; Heiko Paulheim; Axel Polleres (KGSWC, 2023)

By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning. - Michael Schlechtinger; Damaris Kosack; Franz Krause; Heiko Paulheim (IJCAI, 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 001 (SWQD, 2024)

Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. - Franz Krause; Heiko Paulheim; Elmar Kiesling; Kabul Kurniawan; Maria Chiara Leva; Hector Diego Estrada-Lugo; Gernot Stübl; Nazim Kemal Üre; Javier Dominguez-Ledo; Maqbool Khan; Pedro Demolder; Hans Gaux; et al. (Frontiers Artif. Intell., 2024)