Lifted dynamic junction tree algorithm M Gehrke, T Braun, R Möller Graph-Based Representation and Reasoning: 23rd International Conference on …, 2018 | 39 | 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 | 17 | 2020 |
Efficient enriching of synthesized relational patient data with time series data S Schiff, M Gehrke, R Möller Procedia Computer Science 141, 531-538, 2018 | 13 | 2018 |
Lifted temporal maximum expected utility M Gehrke, T Braun, R Möller Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019 | 11 | 2019 |
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 | 11 | 2019 |
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 | 7 | 2023 |
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 | 7 | 2020 |
Relational forward backward algorithm for multiple queries M Gehrke, T Braun, R Möller The Thirty-Second International Flairs Conference, 2019 | 7 | 2019 |
Colour passing revisited: lifted model construction with commutative factors M Luttermann, T Braun, R Möller, M Gehrke Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20500 …, 2024 | 6 | 2024 |
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 | 6 | 2021 |
Lifting in multi-agent systems under uncertainty T Braun, M Gehrke, F Lau, R Möller Uncertainty in Artificial Intelligence, 233-243, 2022 | 5 | 2022 |
Taming exact inference in temporal probabilistic relational models M Gehrke Universität zu Lübeck, 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 | 5 | 2018 |
Efficient Detection of Exchangeable Factors in Factor Graphs M Luttermann, J Machemer, M Gehrke arXiv preprint arXiv:2403.10167, 2024 | 4 | 2024 |
Lifted temporal most probable explanation M Gehrke, T Braun, R Möller International Conference on Conceptual Structures, 72-85, 2019 | 4 | 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 | 4 | 2018 |
Lifting in support of privacy-preserving probabilistic inference M Gehrke, J Liebenow, E Mohammadi, T Braun KI-Künstliche Intelligenz, 1-17, 2024 | 3 | 2024 |
Lifted Causal Inference in Relational Domains M Luttermann, M Hartwig, T Braun, R Möller, M Gehrke Causal Learning and Reasoning, 827-842, 2024 | 3 | 2024 |
Unsupervised Estimation of Subjective Content Descriptions in an Information System. M Bender, T Braun, R Möller, M Gehrke Int. J. Semantic Comput. 18 (1), 51-75, 2024 | 3 | 2024 |
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 | 3 | 2021 |