2021

• Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying Subjective Content Descriptions among Text
  wird veröffentlicht in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
  

2020

• Nils Finke, Marcel Gehrke, Tanya Braun, Tristan Potten, Ralf Möller: Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping
  in: Proceedings of Machine Learning Research, 2020
  
• Marcel Gehrke, Tanya Braun, Simon Polovina: Restricting the Maximum Number of Actions for Decision Support under Uncertaitny
  in: ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures, 2020
  
• Marcel Gehrke, Ralf Möller, Tanya Braun: Taming Reasoning in Temporal Probabilistic Relational Models
  in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
  
• Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste: Lifted Marginal Filtering for Asymmetric Models by Clustering-based Merging
  in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Taming Reasoning in Temporal Probabilistic Relational Models
  in: 9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence, 2020
  

2019

• Marcel Gehrke, Tanya Braun, Ralf Möller: Efficient Multiple Query Answering in Switched Probabilistic Relational Models
  in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, p.104-116
  
• Marcel Gehrke, Simon Schiff, Tanya Braun, Ralf Möller: Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring
  in: Proceedings of the ICBK 2019, 2019, IEEE, p.73-80
  
• Mattis Hartwig, Marcel Gehrke, Ralf Möller: Approximate Query Answering in Complex Gaussian Mixture Models
  in: Proceedings of the ICBK 2019, 2019, IEEE, p.81-86
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Temporal Most Probable Explanation
  in: Proceedings of the International Conference on Conceptual Structures 2019, 2019, Springer, p.72-85
  
• Tanya Braun, Marcel Gehrke: Inference in Statistical Relational AI
  in: Proceedings of the International Conference on Conceptual Structures 2019, 2019, Springer, p.xvii-xix
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Temporal Maximum Expected Utility
  in: Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, 2019, Springer, p.380-386
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Uncertain Evidence for Probabilistic Relational Models
  in: Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, 2019, Springer, p.80-93
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Relational Forward Backward Algorithm for Multiple Queries
  in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (FLAIRS-19), 2019, AAAI Press, p.464-469
  
• Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser: Lifted Maximum Expected Utility
  in: Artificial Intelligence in Health, 2019, Springer International Publishing, p.131-141
  

2018

• Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
  in: Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.543-555
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
  in: Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.556-562
  
• Simon Schiff, Marcel Gehrke, Ralf Möller: Efficient Enriching of Synthesized Relational Patient Data with Time Series Data
  in: Procedia Computer Science, 2018, Vol.141, p.531 - 538, The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
  in: Proceedings of KI 2018: Advances in Artificial Intelligence, 2018, Springer, p.38-45
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
  in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Hindsight Queries with Lifted Dynamic Junction Trees
  in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
  :

  @inproceedings{GehBrMo18b,
    author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, 
    title = {{Answering Hindsight Queries with Lifted Dynamic Junction Trees}}, 
    booktitle = {8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence}, 
    year = {2018},
    url = {https://arxiv.org/abs/1807.01586}
  }

• Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser: Towards Lifted Maximum Expected Utility
  in: Proceedings of the First Joint Workshop on Artificial Intelligence in Health in Conjunction with the 27th IJCAI, the 23rd ECAI, the 17th AAMAS, and the 35th ICML, 2018, CEUR-WS.org, CEUR Workshop Proceedings, Vol.2142, p.93-96
  
• Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Dynamic Junction Tree Algorithm
  in: Proceedings of the International Conference on Conceptual Structures, 2018, Springer, p.55-69