Marcel Gehrke

Orcid: 0000-0001-9056-7673

Affiliations:
  • University of Lübeck, Germany (PhD 2022)


According to our database1, Marcel Gehrke authored at least 42 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unsupervised Estimation of Subjective Content Descriptions in an Information System.
Int. J. Semantic Comput., March, 2024

Efficient Detection of Commutative Factors in Factor Graphs.
CoRR, 2024

Enhancement of Subjective Content Descriptions by using Human Feedback.
CoRR, 2024

ReFrESH - Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

Efficient Detection of Exchangeable Factors in Factor Graphs.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Lifted Causal Inference in Relational Domains.
Proceedings of the Causal Learning and Reasoning, 2024

Colour Passing Revisited: Lifted Model Construction with Commutative Factors.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DPM: Clustering Sensitive Data through Separation.
CoRR, 2023

Unsupervised Estimation of Subjective Content Descriptions.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

LESS is More: LEan Computing for Selective Summaries.
Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

PETS: Predicting Efficiently Using Temporal Symmetries in Temporal PGMs.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Lifting Factor Graphs with Some Unknown Factors.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

On Domain-specific Topic Modelling Using the Case of a Humanities Journal.
Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 46th German Conference on Artificial Intelligence, September 26, 2023

FrESH - Feedback-reliant Enhancement of Subjective Content Descriptions by Humans.
Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 46th German Conference on Artificial Intelligence, September 26, 2023

2022
Taming exact inference in temporal probabilistic relational models.
PhD thesis, 2022

Lifting in multi-agent systems under uncertainty.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Who did it? Identifying the Most Likely Origins of Events.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Explainable and Explorable Decision Support.
Proceedings of the Graph-Based Representation and Reasoning, 2022

2021
Identifying and Translating Subjective Content Descriptions Among Texts.
Int. J. Semantic Comput., 2021

On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm.
CoRR, 2021

Identifying Subjective Content Descriptions among Texts.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Concept Drift Detection in Dynamic Probabilistic Relational Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Dynamic Domain Sizes in Temporal Probabilistic Relational Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Restricting the Maximum Number of Actions for Decision Support Under Uncertainty.
Proceedings of the Ontologies and Concepts in Mind and Machine, 2020

Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Taming Reasoning in Temporal Probabilistic Relational Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Lifted Temporal Most Probable Explanation.
Proceedings of the Graph-Based Representation and Reasoning, 2019

Approximate Query Answering in Complex Gaussian Mixture Models.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Which Patient to Treat Next? Probabilistic Stream-Based Reasoning for Decision Support and Monitoring.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Relational Forward Backward Algorithm for Multiple Queries.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Efficient Multiple Query Answering in Switched Probabilistic Relational Models.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Lifted Temporal Maximum Expected Utility.
Proceedings of the Advances in Artificial Intelligence, 2019

Uncertain Evidence for Probabilistic Relational Models.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Answering Hindsight Queries with Lifted Dynamic Junction Trees.
CoRR, 2018

Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Lifted Maximum Expected Utility.
Proceedings of the Artificial Intelligence in Health - First International Workshop, 2018

Towards lifted maximum expected utility.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Lifted Dynamic Junction Tree Algorithm.
Proceedings of the Graph-Based Representation and Reasoning, 2018

Efficient Enriching of Synthesized Relational Patient Data with Time Series Data.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018


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