Ralf Möller

Research output

Research Output per year 1988 1999 2008 2009 2015 2016 2018 2019 2020 2021 2023

• 169 Conference contribution
• 29 Journal articles
• 14 Conference Papers
• 8 Chapter
• 11 More
  • 6 Anthologies
  • 1 Books
  • 1 Contributions to collected editions/anthologies
  • 1 Abstracts
  • 1 Conference Articles in Journals
  • 1 Preprint

Research Output per year

Research Output per year

Search results

• 2023

  Variables are a Curse in Software Vulnerability Prediction.

  Groppe, J., Groppe, S. & Möller, R., 2023, DEXA (1). p. 516-521 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14146 LNCS).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
• 2022

  Deep Learning-Based Classification of Customer Communications of a German Utility Company

  Groppe, J., Schlichting, R., Groppe, S. & Möller, R., 2022, Semantic Intelligence: Select Proceedings of ISIC 2022. Groppe, S., Jain, S. & Bhargava, B. (eds.). Springer Singapore, Vol. 1. (Lecture Notes in Electrical Engineering; vol. 964).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Lifting in Multi-agent Systems under Uncertainty

  Braun, T., Gehrke, M., Lau, F. & Möller, R., 2022, 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, Netherlands, August 1-5, 2022. p. 233-243 11 p. (PMLR: Proceedings of Machine Learning Research).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Complexity 50%

• Using decPOMDPcoms to Holistically Model and Program Nanodevices and Emergent Nanonetworks

  Lau, F.-L., Braun, T., Möller, R. & Fischer, S., 03.10.2022, 9th ACM International Conference on Nanoscale Computing and Communication 2022 (ACM NanoCom'22). Jornet, J. M. & Pierobon, M. (eds.). Barcelona Catalunya Spain: Association for Computing Machinery, p. 1-7 7 p. 2

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Program 100%
  • Research Worker 33%
  • Modeling Framework 33%
  • Partial Solution 33%
  • Markov Decision Process 33%
• 2021

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

  Marwitz, F. A., Braun, T. & Möller, R., 2021, ILP. p. 183-192 10 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Number 66%
  • Exponential Number 25%

• A Hybrid Factor Graph Model for Biomedical Activity Detection.

  Stender, M., Graßhoff, J., Braun, T., Möller, R. & Rostalski, P., 2021, BHI. p. 1-4 4 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Detection 100%
  • Factor Graph 100%
  • Binary Decision 25%
  • Joint Probability 25%

• Complementary Document Representations for Information Retrieval

  Melzer, S., Schiff, S. & Möller, R., 2021, Proceedings of FLAIRS-34.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Concept Drift Detection in Dynamic Probabilistic Relational Models.

  Finke, N., Braun, T., Gehrke, M. & Möller, R., 2021, FLAIRS Conference.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Context-specific Adaptation of Subjective Content Descriptions.

  Kuhr, F., Bender, M., Braun, T. & Möller, R., 2021, ICSC. p. 134-139 6 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Dynamic Domain Sizes in Temporal Probabilistic Relational Models.

  Finke, N., Braun, T., Gehrke, M. & Möller, R., 2021, FLAIRS Conference.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Algorithms 25%
  • Model Management 25%
  • Time Information 25%
  • Analysis Model 25%
  • query answering 25%

• Enhancing Relational Topic Models with Named Entity Induced Links.

  Kuhr, F., Lichtenberger, M., Braun, T. & Möller, R., 2021, ICSC. p. 314-317 4 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Topic Modeling 42%
  • Social Network 14%
  • Hyperlink 14%

• Handling Overlaps When Lifting Gaussian Bayesian Networks.

  Hartwig, M., Braun, T. & Möller, R., 2021, IJCAI. p. 4228-4234 7 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Bayesian Network 100%
  • Joints (Structural Components) 100%
  • Gaussians 100%
  • Show 100%
  • query answering 66%

• Humanities-Centered AI: From Machine Learning to Machine Training

  Möller, R., 2021, Humanities-Centred Artificial Intelligence, CHAI 2021: CEUR Workshop Proceedings. Vol. 3093. p. 40-44

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Artificial Intelligence 100%
  • Learning System 100%
  • Machine Learning 100%
  • Learning 100%
  • Training 100%

• Identifying Subjective Content Descriptions among Texts.

  Bender, M., Braun, T., Gehrke, M., Kuhr, F., Möller, R. & Schiff, S., 2021, ICSC. p. 9-16 8 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Modeling and Simulating Federated Databases for early Validation of Federated Searches using the Broker-based SysML Toolbox.

  Melzer, S., Thiemann, S. & Möller, R., 2021, SysCon. p. 1-6 6 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• On Human-Aware Information Seeking

  Schiff, S. & Möller, R., 2021, Humanities-Centred Artificial Intelligence, CHAI 2021: CEUR Workshop Proceedings. p. 31-39

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Information Retrieval Systems 100%
  • User 50%
  • Metadata 50%
  • Query Information 50%
  • Image Collections 50%

• On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting.

  Mohr, M., Wilhelm, F. & Möller, R., 2021, FLAIRS Conference.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Ordering Principal Components of Multivariate Fractional Brownian Motion for Solving Inverse Problems.

  Mohr, M. & Möller, R., 2021, APSIPA ASC. p. 240-247 8 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Permutation 100%
  • Self-Similarity 42%
  • Modeling 14%
  • Variables 14%
  • Range Dependence 14%

• Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping.

  Finke, N., Mohr, M., Lontke, A., Züfle, M., Kounev, S. & Möller, R., 2021, RCIS. p. 189-204 16 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
• 2020

  Constructing Gaussian Processes for Probabilistic Graphical Models.

  Hartwig, M., Mohr, M. & Möller, R., 2020, FLAIRS Conference. p. 57-62 6 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?

  Hartwig, M. & Möller, R., 27.11.2020, AI 2020: AI 2020: Advances in Artificial Intelligence. Gallagher, M., Moustafa, N. & Lakshika, E. (eds.). Springer, Cham, Vol. 12576 LNAI. p. 371-382 12 p. (Lecture Notes in Computer Science; vol. 12576 LNAI).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Bayesian Network 100%
  • Usability 25%

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

  Finke, N., Gehrke, M., Braun, T., Potten, T. & Möller, R., 2020, PGM. p. 197-208 12 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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

  Lüdtke, S., Gehrke, M., Braun, T., Möller, R. & Kirste, T., 2020, ECAI. p. 2608-2615 8 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Lifted Query Answering in Gaussian Bayesian Networks.

  Hartwig, M. & Möller, R., 2020, PGM. p. 233-244 12 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Lifting Queries for Lifted Inference

  Braun, T. & Möller, R., 24.08.2020, Frontiers in Artificial Intelligence and Applications. De Giacomo , G., Catala , A., Dilkina , B., Milano , M., Barro , S., Bugarín , A. & Lang, J. (eds.). IOS Press, Vol. 325. p. 2891 - 2892 22 p. (Frontiers in Artificial Intelligence and Applications).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Algorithm 100%
  • Algorithms 100%
  • Random Variable ξ 66%
  • Variable Elimination 33%

• Maintaining Topic Models for Growing Corpora

  Kuhr, F., Bender, M., Braun, T. & Moller, R., 02.2020, 2020 IEEE 14th International Conference on Semantic Computing (ICSC). IEEE, p. 451-458 8 p. 9031467. (IEEE International Conference on Semantic Computing).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Topic Modeling 100%
  • Reference Library 49%

• On the Behaviour of Permutation Entropy on Fractional Brownian Motion in a Multivariate Setting.

  Mohr, M., Finke, N. & Möller, R., 2020, APSIPA. p. 189-196 8 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Taming Reasoning in Temporal Probabilistic Relational Models.

  Gehrke, M., Möller, R. & Braun, T., 2020, ECAI. p. 2592-2599 8 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Towards Collaborative Predictive Maintenance Leveraging Private Cross-Company Data.

  Mohr, M., Becker, C., Möller, R. & Richter, M., 2020, GI-Jahrestagung. p. 427-432 6 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
• 2019

  Approximate Query Answering in Complex Gaussian Mixture Models

  Hartwig, M., Gehrke, M. & Möller, R., 11.2019, 2019 IEEE International Conference on Big Knowledge (ICBK). IEEE, p. 81-86 6 p. 8944433. (IEEE International Conference on Big Knowledge).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • query answering 100%
  • Algorithms 66%
  • Approximation (Algorithm) 66%
  • Number 66%
  • Field Research 33%

• Constructing and Maintaining Corpus-Driven Annotations

  Kuhr, F. & Möller, R., 11.03.2019, 2019 IEEE 13th International Conference on Semantic Computing (ICSC). IEEE, p. 462-467 6 p. 8665672. (IEEE International Conference on Semantic Computing).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Annotation 100%
  • Relationships 16%
  • query answering 16%
  • Reference Library 16%
  • Query Information 16%

• Corpus-Driven Annotation Enrichment.

  Kuhr, F., Witten, B. & Möller, R., 2019, ICSC. p. 138-141 4 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Efficient Multiple Query Answering in Switched Probabilistic Relational Models

  Gehrke, M., Braun, T. & Möller, R., 25.11.2019, AI 2019: Advances in Artificial Intelligence . Liu, J. & Bailey, J. (eds.). Springer, Cham, Vol. 11919 LNAI. p. 104-116 13 p. (Lecture Notes in Computer Science; vol. 11919 LNAI).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • query answering 100%
  • Context 80%
  • Variable Elimination 40%
  • Speed-up 20%

• Exploring Unknown Universes in Probabilistic Relational Models

  Braun, T. & Möller, R., 25.11.2019, AI 2019: AI 2019: Advances in Artificial Intelligence. Liu, J. & Bailey, J. (eds.). Springer, Cham, Vol. 11919 LNAI. p. 91-103 13 p. (Lecture Notes in Computer Science; vol. 11919 LNAI).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Algorithms 100%

• Lifted Maximum Expected Utility

  Gehrke, M., Braun, T., Möller, R., Waschkau, A., Strumann, C. & Steinhäuser, J., 2019, Artificial Intelligence in Health. Koch, F., Koster, A., Riaño, D., Montagna, S., Schumacher, M., ten Teije, A., Guttmann, C., Reichert, M., Bichindaritz, I., Herrero, P., Lenz, R., López, B., Marling, C., Martin, C., Montani, S. & Wiratunga, N. (eds.). Cham: Springer International Publishing, p. 131-141 11 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Model 100%
  • Algorithm 50%
  • Algorithms 33%
  • Nodes 16%

• Lifted Temporal Maximum Expected Utility

  Gehrke, M., Braun, T. & Möller, R., 24.04.2019, Canadian AI 2019: Advances in Artificial Intelligence. Meurs, M.-J. & Rudzicz, F. (eds.). Springer, Cham, Vol. 11489 LNAI. p. 380-386 7 p. (Lecture Notes in Computer Science; vol. 11489 LNAI).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Filtering 50%
  • Knowledge Base 50%

• Lifted Temporal Most Probable Explanation

  Gehrke, M., Braun, T. & Möller, R., 19.06.2019, ICCS 2019: Graph-Based Representation and Reasoning. Endres, D., Alam, M. & Şotropa, D. (eds.). Springer, Cham, Vol. 11530 LNAI. p. 72-85 14 p. (Lecture Notes in Computer Science; vol. 11530 LNAI).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Probable Explanation 100%
  • Filtering 33%
  • Knowledge Base 33%

• Relational Forward Backward Algorithm for Multiple Queries.

  Gehrke, M., Braun, T. & Möller, R., 2019, FLAIRS Conference. p. 464-469 6 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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

  Kuhr, F., Braun, T., Bender, M. & Möller, R., 25.11.2019, AI 2019: AI 2019: Advances in Artificial Intelligence. Liu, J. & Bailey, J. (eds.). Springer, Cham, Vol. 11919 LNAI. p. 357-368 12 p. (Lecture Notes in Computer Science).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Context 100%
  • Content Quality 100%

• Uncertain Evidence for Probabilistic Relational Models

  Gehrke, M., Braun, T. & Möller, R., 24.04.2019, Canadian AI 2019: Advances in Artificial Intelligence . Meurs, M.-J. & Rudzicz, F. (eds.). Springer, Cham, Vol. 11489 LNAI. p. 80-93 14 p. (Lecture Notes in Computer Science ; vol. 11489 LNAI).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Variables 100%
  • Variable Elimination 100%

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

  Gehrke, M., Schiff, S., Braun, T. & Möller, R., 11.2019, 2019 IEEE International Conference on Big Knowledge (ICBK). IEEE, p. 73-80 8 p. 8944691. (IEEE International Conference on Big Knowledge).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
• 2018

  Adaptive Inference on Probabilistic Relational Models

  Braun, T. & Möller, R., 10.11.2018, AI 2018: Advances in Artificial Intelligence. Mitrovic, T., Xue, B. & Li, X. (eds.). Cham: Springer International Publishing, Vol. 11320. p. 487-500 14 p. (Lecture Notes in Computer Science; vol. 11320).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Variable Elimination 40%
  • Restart 20%
  • query answering 20%
  • Answering Query 20%

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

  Gehrke, M., Braun, T. & Möller, R., 10.11.2018, AI 2018: Advances in Artificial Intelligence. Mitrovic, T., Xue, B. & Li, X. (eds.). Cham: Springer International Publishing, Vol. 11320. p. 543-555 13 p. ( Lecture Notes in Computer Science; vol. 11320).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Complexity 25%
  • Filtering 25%
  • Knowledge Base 25%

• Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm

  Braun, T. & Möller, R., 21.03.2018, Graph Structures for Knowledge Representation and Reasoning. Croitoru, M., Marquis, P., Rudolph, S. & Stapleton, G. (eds.). Cham: Springer International Publishing, Vol. 10775. p. 54-72 19 p. (Lecture Notes in Computer Science; vol. 10775).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Variable Elimination 50%
  • Algorithms 25%
  • Learning System 25%
  • Machine Learning 25%
  • Knowledge Base 25%

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

  Braun, T. & Möller, R., 30.08.2018, KI 2018: Advances in Artificial Intelligence. Trollmann, F. & Turhan, A.-Y. (eds.). Cham: Springer International Publishing, Vol. 11117. p. 24-37 14 p. (Lecture Notes in Computer Science; vol. 11117).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Variable Elimination 66%
  • Algorithms 16%
  • query answering 16%

• Lifted Dynamic Junction Tree Algorithm

  Gehrke, M., Braun, T. & Möller, R., 20.05.2018, Graph-Based Representation and Reasoning. Chapman, P., Endres, D. & Pernelle, N. (eds.). Cham: Springer International Publishing, Vol. 10872. p. 55-69 15 p. (Lecture Notes in Computer Science; vol. 10872).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Algorithms 42%

• Lifted Most Probable Explanation

  Braun, T. & Möller, R., 2018, Lecture Note in Artificial Intelligence. Vol. 10872.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Probable Explanation 100%
  • Variable Elimination 100%
  • Computing 33%
  • Knowledge Base 33%
  • Multi Persons Environment 33%

• Parameterised Queries and Lifted Query Answering

  Braun, T. & Möller, R., 01.07.2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18. International Joint Conferences on Artificial Intelligence Organization, Vol. 2018-July. p. 4980-4986 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • query answering 100%
  • Variable Elimination 100%
  • Algorithms 33%
  • Artificial Intelligence 33%

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

  Gehrke, M., Braun, T. & Möller, R., 2018, AI 2018: Advances in Artificial Intelligence . p. 556-562

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Towards lifted maximum expected utility

  Gehrke, M., Braun, T., Möller, R., Waschkau, A., Strumann, C. & Steinhäuser, J., 01.07.2018, 1st Joint Workshop on AI in Health. CEUR-WS.org, Vol. 2142. p. 93-96 4 p. (CEUR Workshop Proceedings; vol. 2142).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Filtering 50%
  • Knowledge Base 50%