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262 Publications


2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2023). iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. In Machine Learning and Knowledge Discovery in Databases: Research Track. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43418-1_26
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2023 | Book Chapter | LibreCat-ID: 52859
de Camargo e Souza Câmara, I., & Turhan, A.-Y. (2023). Deciding Subsumption in Defeasible $$\mathcal {ELI}_\bot $$ with Typicality Models. In Logics in Artificial Intelligence. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43619-2_36
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2022 | Conference Paper | LibreCat-ID: 30971
Hansmeier, T., & Platzner, M. (2022). Integrating Safety Guarantees into the Learning Classifier System XCS. Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, 13224, 386–401. https://doi.org/10.1007/978-3-031-02462-7_25
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2022 | Book Chapter | LibreCat-ID: 34077
Bondarenko, A., Fröbe, M., Kiesel, J., Syed, S., Gurcke, T., Beloucif, M., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M., & Hagen, M. (2022). Overview of Touché 2022: Argument Retrieval. In Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-99739-7_43
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2022 | Book Chapter | LibreCat-ID: 34292
Wolters, D., & Engels, G. (2022). Towards Situational Process Management for Professional Education Programmes. In D. Taibi, M. Kuhrmann, T. Mikkonen, J. Klünder, & P. Abrahamsson (Eds.), Product-Focused Software Process Improvement (Vol. 13709, pp. 235–242). Springer International Publishing. https://doi.org/10.1007/978-3-031-21388-5_16
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2022 | Book Chapter | LibreCat-ID: 29872
Maack, M., Meyer auf der Heide, F., & Pukrop, S. (2022). Server Cloud Scheduling. In Approximation and Online Algorithms. Springer International Publishing. https://doi.org/10.1007/978-3-030-92702-8_10
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2022 | Book Chapter | LibreCat-ID: 33740 | OA
KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2022). Learning Concept Lengths Accelerates Concept Learning in ALC. In The Semantic Web. Springer International Publishing. https://doi.org/10.1007/978-3-031-06981-9_14
LibreCat | Files available | DOI | Download (ext.)
 

2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, M. C., Bender, A., Peitz, S., & Sextro, W. (2022). Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In Machine Learning, Optimization, and Data Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-95470-3_8
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2022 | Book Chapter | LibreCat-ID: 33738 | OA
Zahera, H. M. A., Heindorf, S., Balke, S., Haupt, J., Voigt, M., Walter, C., Witter, F., & Ngonga Ngomo, A.-C. (2022). Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings. In The Semantic Web: ESWC 2022 Satellite Events. Springer International Publishing. https://doi.org/10.1007/978-3-031-11609-4_9
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2022 | Book Chapter | LibreCat-ID: 38506
Zahera, H. M. A., Vollmers, D., Sherif, M. A., & Ngomo, A.-C. N. (2022). MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs. In The Semantic Web – ISWC 2022. Springer International Publishing. https://doi.org/10.1007/978-3-031-19433-7_18
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2021 | Book Chapter | LibreCat-ID: 29046
Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., & Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. https://doi.org/10.1007/978-3-030-91608-4_11
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 21378
Hartel, R., & Dunst, A. (2021). An OCR Pipeline and Semantic Text Analysis for Comics. In MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges. Cham. https://doi.org/10.1007/978-3-030-68780-9_19
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2021 | Book Chapter | LibreCat-ID: 22057
Jager, T., Kurek, R., & Niehues, D. (2021). Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance. In Public-Key Cryptography – PKC 2021. Cham. https://doi.org/10.1007/978-3-030-75245-3_22
LibreCat | Files available | DOI
 

2021 | Book Chapter | LibreCat-ID: 22059
Niehues, D. (2021). Verifiable Random Functions with Optimal Tightness. In Public-Key Cryptography – PKC 2021. Cham. https://doi.org/10.1007/978-3-030-75248-4_3
LibreCat | Files available | DOI
 

2021 | Conference Paper | LibreCat-ID: 27381
Damke, C., & Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares & L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180). Springer. https://doi.org/10.1007/978-3-030-88942-5
LibreCat | DOI | arXiv
 

2021 | Book Chapter | LibreCat-ID: 26888
Götte, T., Kolb, C., Scheideler, C., & Werthmann, J. (2021). Beep-And-Sleep: Message and Energy Efficient Set Cover. In Algorithms for Sensor Systems (ALGOSENSORS ’21). ALGOSENSORS 2021, Lisbon, Portgual. https://doi.org/10.1007/978-3-030-89240-1_7
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2021 | Conference Paper | LibreCat-ID: 29566
Bobolz, J., Eidens, F., Krenn, S., Ramacher, S., & Samelin, K. (2021). Issuer-Hiding Attribute-Based Credentials. Cryptology and Network Security. https://doi.org/10.1007/978-3-030-92548-2_9
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 32868
Nagbøl, P. R., Müller, O., & Krancher, O. (2021). Designing a Risk Assessment Tool for Artificial Intelligence Systems. In The Next Wave of Sociotechnical Design. Springer International Publishing. https://doi.org/10.1007/978-3-030-82405-1_32
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 29292 | OA
Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., & Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing. https://doi.org/10.1007/978-3-030-91608-4_11
LibreCat | Files available | DOI | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 45846
Kontinen, J., Meier, A., & Mahmood, Y. (2021). A Parameterized View on the Complexity of Dependence Logic. Logical Foundations of Computer Science. https://doi.org/10.1007/978-3-030-93100-1_9
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