DI DI Dr. Bernhard Heinzl

Senior Researcher Data Science

Publikationen

2024
Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs: Key Challenges and Lessons Learned

Krause, F., Paulheim, H., Kiesling, E., Kurniawan, K., Leva, M. C., Estrada-Lugo, H. D., Stübl, G., Üre, N. K., Dominguez-Ledo, J., Khan, M., Demolder, P., Gaux, H., Heinzl, B., Hoch, T., Martinez-Gil, J., Silvina, A., & Moser, B. A. (2024). Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. Frontiers in Artificial Intelligence, 7.
Towards Integrating Knowledge Graphs into Process- Oriented Human-AI Collaboration in Industry

Heinzl, B., Silvina, A., Krause, F., Schwarz, N., Kurniawan, K., Kiesling, E., Pichler, M., & Moser, B. (2024). Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry. Lecture Notes in Business Information Processing, 76–87.
2023
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

Martinez-Gil, J., Hoch, T., Pichler, M., Heinzl, B., Moser, B., Kurniawan, K., Kiesling, E., & Krause, F. (2023). Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review. Artificial Intelligence in Manufacturing, 55–70.
Leveraging Semantic Representations via Knowledge Graph Embeddings

Krause, F., Kurniawan, K., Kiesling, E., Martinez-Gil, J., Hoch, T., Pichler, M., Heinzl, B., & Moser, B. (2023). Leveraging Semantic Representations via Knowledge Graph Embeddings. Artificial Intelligence in Manufacturing, 71–85.
Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

Hoch, T., Martinez-Gil, J., Pichler, M., Silvina, A., Heinzl, B., Moser, B., Eleftheriou, D., Estrada-Lugo, H. D., & Leva, M. C. (2023). Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0. Artificial Intelligence in Manufacturing, 407–421.
2022
Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study

Heinzl, B., Hinterreiter, C., Roßbory, M., & Hinterdorfer, C. (2022). Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study. Database and Expert Systems Applications - DEXA 2022 Workshops, 90–99.
Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing

Hoch, T., Heinzl, B., Czech, G., Khan, M., Waibel, P., Bachhofner, S., Kiesling, E., & Moser, B. A. (2022). Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing. International Conference on Interoperability for Enterprise Systems and Applications (I-ESA)
2021
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications

Heinzl, B., Martinez-Gil, J., Himmelbauer, J., Rosbory, M., Hinterdorfer, C., & Hinterreiter, C. (2021). Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).