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Creutz, L., Schneider, J., & Dartmann, G. (2022). Distributed Hash Table with Extensible Remote Procedure Calls. In: 2022 5th International Conference on Computational Intelligence and Networks (CINE) (pp. 1-6). IEEE.

Creutz, L., Wagner, K., & Dartmann, G. (2022). Cyber-Physical Contracts in Offline Regions. In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) (pp. 461-469). IEEE.

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Grumbach, L., & Bergmann, R. (2021). SEMAFLEX: A novel approach for implementing workflow flexibility by deviation based on constraint satisfaction problem solving. In: Expert Systems, 38(7), e12385.

Grumbach, L., & Bergmann, R. (2023, July). A Case-Based Approach for Workflow Flexibility by Deviation. In: International Conference on Case-Based Reasoning (pp. 294-308). Cham: Springer Nature Switzerland.

Guldner, A., & Murach, J. (2022). Measuring and assessing the resource and energy efficiency of artificial intelligence of things devices and algorithms. In Environmental Informatics (pp. 185-199). Cham: Springer International Publishing. In: Wohlgemuth, V. et al. (eds) Advances and New Trends in Environmental Informatics. EnviroInfo 2022. Progress in IS. Springer, Cham.

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Hoffmann, M., & Bergmann, R. (2023). Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning. In: The International FLAIRS Conference Proceedings (Vol. 36).

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Hoffmann, M., Malburg, L., Bach, N., & Bergmann, R. (2022). GPU-based graph matching for accelerating similarity assessment in process-oriented case-based reasoning. In: International Conference on Case-Based Reasoning (pp. 240-255). Cham: Springer International Publishing.

Junger, D., Westing, M., Freitag, C., Guldner, A., Mittelbach, K., Weber, S., ... & Wohlgemuth, V. (2023). Potentials of Green Coding-Findings and Recommendations for Industry, Education and Science. In: INFORMATIK 2023 – Designing Futures: Zukünfte gestalten. Gesellschaft für Informatik e.V. (GI). Lecture Notes in Informatics (LNI), pp. 1289–1299.

Knebel, P., Appold, C., Guldner, A., Horbach, M., Juncker, Y., Müller, S., & Matheis, A. (2022). An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested Trees. In: Wohlgemuth, V. et al. (Hrsg.), EnviroInfo 2022. Lecture Notes in Informatics (LNI). Bonn: Gesellschaft für Informatik e.V. p. 111.

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Morgen, M., Fazlic, L. B., Peine, A., Martin, L., Schmeink, A., Hallawa, A., & Dartmann, G. (2022, November). A Visualization and Benchmarking Simulator for Clinical Data. In: PHealth 2022: Proceedings of the 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health (Vol. 299, p. 223). IOS Press.

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Theusch, F.; Klein, P.; Bergmann, R.; Wilke, W.; Bock, W.; Weber, A.: Fault Detection and Condition Monitoring in District Heating Using Smart Meter Data. In: Proceedings of the European Conference of the PHM Society 2021, pp. 407 – 417.

Urschel, B., Fazlic, L. B., Morgen, M., Machhamer, R., Dartmann, G., & Gollmer, K. U. (2022). A Machine Learning Approach for Optimal Ventilation based on Data from CO 2 Sensors. In: 2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF) (pp. 1-6). IEEE.

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