Tanya Braun

Int. J. Semantic Comput., 2022

Special issue on conceptual structures.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2022

Lifting in multi-agent systems under uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Glimpse into Statistical Relational AI: The Power of Indistinguishability.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Estimating Context-Specific Subjective Content Descriptions using BERT.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

To Extend or not to Extend? Complementary Documents.

[BibT_eX]

[DOI]

Magnus Bender

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

Who did it? Identifying the Most Likely Origins of Events.

[BibT_eX]

[DOI]

Florian-Lennert Adrian Lau

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Using decPOMDPcoms to holistically model and program nanodevices and emergent nanonetworks.

[BibT_eX]

[DOI]

Stefan Fischer

Proceedings of the NANOCOM '22: The Ninth Annual ACM International Conference on Nanoscale Computing and Communication, Barcelona, Catalunya, Spain, October 5, 2022

Explainable and Explorable Decision Support.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representation and Reasoning, 2022

Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Lifted Division for Lifted Hugin Belief Propagation.

[BibT_eX]

[DOI]

Moritz P. Hoffmann

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Identifying and Translating Subjective Content Descriptions Among Texts.

[BibT_eX]

[DOI]

Int. J. Semantic Comput., 2021

Lifting DecPOMDPs for Nanoscale Systems - A Work in Progress.

[BibT_eX]

[DOI]

CoRR, 2021

Enhancing Relational Topic Models with Named Entity Induced Links.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Context-specific Adaptation of Subjective Content Descriptions.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Identifying Subjective Content Descriptions among Texts.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

A First Step Towards Even More Sparse Encodings of Probability Distributions.

[BibT_eX]

[DOI]

Florian Andreas Marwitz

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Handling Overlaps When Lifting Gaussian Bayesian Networks.

[BibT_eX]

[DOI]

Mattis Hartwig

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Concept Drift Detection in Dynamic Probabilistic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Dynamic Domain Sizes in Temporal Probabilistic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

A Hybrid Factor Graph Model for Biomedical Activity Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Rescued from a sea of queries: Exact inference in probabilistic relational models.

[BibT_eX]

[DOI]

PhD thesis, 2020

Augmenting and Automating Corpus Enrichment.

[BibT_eX]

[DOI]

Int. J. Semantic Comput., 2020

Maintaining Topic Models for Growing Corpora.

[BibT_eX]

[DOI]

Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Augmenting and Automating Corpus Enrichment.

[BibT_eX]

[DOI]

Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Benchmarking Inference Algorithms for Probabilistic Relational Models.

[BibT_eX]

[DOI]

Tristan Potten

Proceedings of the Ontologies and Concepts in Mind and Machine, 2020

Restricting the Maximum Number of Actions for Decision Support Under Uncertainty.

[BibT_eX]

[DOI]

Simon Polovina

Proceedings of the Ontologies and Concepts in Mind and Machine, 2020

Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Lifting Queries for Lifted Inference.

[BibT_eX]

[DOI]

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

Einleitung.

[BibT_eX]

[DOI]

Günther Görz

Ute Schmid

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019

Lifted Temporal Most Probable Explanation.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representation and Reasoning, 2019

Which Patient to Treat Next? Probabilistic Stream-Based Reasoning for Decision Support and Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Relational Forward Backward Algorithm for Multiple Queries.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

StaRAI or StaRDB? - A Tutorial on Statistical Relational AI.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2019

To Extend or Not to Extend? Context-Specific Corpus Enrichment.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Efficient Multiple Query Answering in Switched Probabilistic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Exploring Unknown Universes in Probabilistic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Lifted Temporal Maximum Expected Utility.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2019

Uncertain Evidence for Probabilistic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2019

2018

Answering Hindsight Queries with Lifted Dynamic Junction Trees.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Fusing First-Order Knowledge Compilation and the Lifted Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Lifted Maximum Expected Utility.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Health - First International Workshop, 2018

Towards lifted maximum expected utility.

[BibT_eX]

[DOI]

Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Parameterised Queries and Lifted Query Answering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Lifted Dynamic Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representation and Reasoning, 2018

Lifted Most Probable Explanation.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representation and Reasoning, 2018

Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Adaptive Inference on Probabilistic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Preventing Groundings and Handling Evidence in the Lifted Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Unsupervised Text Annotation.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief (DKB-2017) and the 5th Workshop KI & Kognition (KIK-2017) co-located with 40th German Conference on Artificial Intelligence (KI 2017), 2017

Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2017

2016

Lifted Junction Tree Algorithm.

[BibT_eX]

[DOI]