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

  Unsupervised Estimation of Subjective Content Descriptions.

  Bender, M., Braun, T., Möller, R. & Gehrke, M., 2023, p. 266-273. 8 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• 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

• Embodiment of an Agent by a Pepper Robot for Explaining Retrieval Results.

  Schiff, S., Bender, M. & Möller, R., 2022, p. 29-37.

  Research output: Contribution to conference › Conference Papers › peer-review

• Estimating Context-Specific Subjective Content Descriptions using BERT.

  Bender, M., Kuhr, F., Braun, T. & Möller, R., 2022, p. 171-172.

  Research output: Contribution to conference › Conference Papers › 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 and Translating Subjective Content Descriptions among Texts

  Bender, M., Braun, T., Gehrke, M., Kuhr, F., Möller, R. & Schiff, S., 01.12.2021, In: International Journal of Semantic Computing. 15, 4, p. 461-485 25 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Context 100%
  • Simulated World 100%
  • Reference Library 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

• KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27 - October 1, 2021, Proceedings

  Edelkamp, S. (Editor), Möller, R. (Editor) & Rueckert, E. (Editor), 2021, Springer. (Lecture Notes in Computer Science)(KI)

  Research output: Books/Anthologies/Proceedings/Theses › Anthologies › peer-review

• Lifting DecPOMDPs for Nanoscale Systems -- A Work in Progress

  Braun, T., Fischer, S., Lau, F. & Möller, R., 18.10.2021.

  Research output: Working Papers › Preprint

  • Nanoscale 100%
  • DNA 100%
  • Observables 33%
  • Partially Observable Markov Decision Process 33%

• 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

  AI-based Companion Services for Humanities

  Schiff, S., Kuhr, F., Melzer, S. & Möller, R., 2020.

  Research output: Contribution to conference › Abstracts › peer-review

• Augmenting and Automating Corpus Enrichment

  Kuhr, F., Braun, T., Bender, M. & Möller, R., 01.06.2020, In: International Journal of Semantic Computing. 14, 2, p. 173-197 25 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Reference Library 100%

• Branch-and-Bound Ranked Search by Minimizing Parabolic Polynomials.

  Poensgen, P. & Möller, R., 2020, In: Open J. Databases. 7, 1, p. 12-20 9 p., 1.

  Research output: Journal Articles › Journal articles › Research › peer-review

• 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%

• New Approaches in Ordinal Pattern Representations for Multivariate Time Series

  Mohr, M., Wilhelm, F., Hartwig, M., Möller, R. & Keller, K., 01.05.2020, p. 124-129. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Algorithms 100%
  • Variables 66%
  • Machine Learning Algorithm 50%
  • Diagnosis 50%
  • Classification Task 50%

• 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

• Quasi-Convex Scoring Functions in Branch-and-Bound Ranked Search.

  Poensgen, P. & Möller, R., 2020, In: Open J. Databases. 7, 1, p. 1-11 11 p., 1.

  Research output: Journal Articles › Journal articles › Research › 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

  2019 IEEE International Conference on Big Knowledge, ICBK 2019, Beijing, China, November 10-11, 2019

  Gao, Y. (Editor), Möller, R. (Editor), Wu, X. (Editor) & Kotagiri, R. (Editor), 2019, IEEE. (ICBK)

  Research output: Books/Anthologies/Proceedings/Theses › Anthologies › peer-review

• 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%

• Influence-based independence

  Ozcep, O. L., Kuhr, F. & Moller, R., 2019, p. 26 - 31. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Knowledge 100%
  • Multivalued Dependency 66%
  • Independence Structure 66%
  • Variables 66%
  • Bayesian 50%

• 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%