| Lifted dynamic junction tree algorithm M Gehrke, T Braun, R Möller Graph-Based Representation and Reasoning: 23rd International Conference on …, 2018 | 33 | 2018 |
| Taming Reasoning in Temporal Probabilistic Relational Models M Gehrke, R Möller, T Braun 24th European Conference on Artificial Intelligence (ECAI 2020), 2592--2599, 2020 | 12 | 2020 |
| Lifted maximum expected utility M Gehrke, T Braun, R Möller, A Waschkau, C Strumann, J Steinhäuser Artificial Intelligence in Health: First International Workshop, AIH 2018 …, 2019 | 9 | 2019 |
| Efficient enriching of synthesized relational patient data with time series data S Schiff, M Gehrke, R Möller Procedia Computer Science 141, 531-538, 2018 | 9 | 2018 |
| Lifted Temporal Maximum Expected Utility M Gehrke, T Braun, R Möller Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019 | 7 | 2019 |
| Investigating matureness of probabilistic graphical models for dry-bulk shipping N Finke, M Gehrke, T Braun, T Potten, R Möller International Conference on Probabilistic Graphical Models, 197-208, 2020 | 6 | 2020 |
| Relational Forward Backward Algorithm for Multiple Queries M Gehrke, T Braun, R Möller The Thirty-Second International Flairs Conference, 2019 | 5 | 2019 |
| Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm M Gehrke, T Braun, R Möller AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 4 | 2018 |
| Unsupervised Estimation of Subjective Content Descriptions M Bender, T Braun, R Möller, M Gehrke 2023 IEEE 17th International Conference on Semantic Computing (ICSC), 266-273, 2023 | 3 | 2023 |
| Lifted Temporal Most Probable Explanation M Gehrke, T Braun, R Möller International Conference on Conceptual Structures, 72-85, 2019 | 3 | 2019 |
| Towards preventing unnecessary groundings in the lifted dynamic junction tree algorithm M Gehrke, T Braun, R Möller KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018 | 3 | 2018 |
| Identifying and translating subjective content descriptions among texts M Bender, T Braun, M Gehrke, F Kuhr, R Möller, S Schiff International Journal of Semantic Computing 15 (04), 461-485, 2021 | 2 | 2021 |
| Identifying Subjective Content Descriptions among Texts M Bender, T Braun, M Gehrke, F Kuhr, R Möller, S Schiff 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 9-16, 2021 | 2 | 2021 |
| Taming exact inference in temporal probabilistic relational models M Gehrke Universität zu Lübeck, 2019 | 2 | 2019 |
| Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm M Gehrke, T Braun, R Möller AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 2 | 2018 |
| Detection of Zeno sets in hybrid systems to validate modelica simulations M Gehrke Bachelor thesis. Hamburg University of Technology, 2012 | 2 | 2012 |
| Lifting in multi-agent systems under uncertainty T Braun, M Gehrke, F Lau, R Möller Uncertainty in Artificial Intelligence, 233-243, 2022 | 1 | 2022 |
| Lifted marginal filtering for asymmetric models by clustering-based merging S Lüdtke, M Gehrke, T Braun, R Möller, T Kirste ECAI 2020, 2608-2615, 2020 | 1 | 2020 |
| Approximate Query Answering in Complex Gaussian Mixture Models M Hartwig, M Gehrke, R Möller 2019 IEEE International Conference on Big Knowledge (ICBK), 81-86, 2019 | 1 | 2019 |
| Uncertain Evidence for Probabilistic Relational Models M Gehrke, T Braun, R Möller Canadian Conference on Artificial Intelligence, 80-93, 2019 | 1 | 2019 |
Ralf MöllerProfessor of Computer Science, University of LübeckVerified email at uni-luebeck.de
