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264 Publications


2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In 26th International Conference on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
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2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” In Machine Learning and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43418-1_26.
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2023 | Book Chapter | LibreCat-ID: 52859
Camargo e Souza Câmara, Igor de, and Anni-Yasmin Turhan. “Deciding Subsumption in Defeasible $$\mathcal {ELI}_\bot $$ with Typicality Models.” In Logics in Artificial Intelligence. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43619-2_36.
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2022 | Conference Paper | LibreCat-ID: 30971
Hansmeier, Tim, and Marco Platzner. “Integrating Safety Guarantees into the Learning Classifier System XCS.” In Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, 13224:386–401. Lecture Notes in Computer Science. Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-02462-7_25.
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2022 | Book Chapter | LibreCat-ID: 34077
Bondarenko, Alexander, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, et al. “Overview of Touché 2022: Argument Retrieval.” In Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-99739-7_43.
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2022 | Book Chapter | LibreCat-ID: 34292
Wolters, Dennis, and Gregor Engels. “Towards Situational Process Management for Professional Education Programmes.” In Product-Focused Software Process Improvement, edited by Davide Taibi, Marco Kuhrmann, Tommi Mikkonen, Jil Klünder, and Pekka Abrahamsson, 13709:235–42. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21388-5_16.
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2022 | Book Chapter | LibreCat-ID: 29872
Maack, Marten, Friedhelm Meyer auf der Heide, and Simon Pukrop. “Server Cloud Scheduling.” In Approximation and Online Algorithms. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-92702-8_10.
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2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” In Machine Learning, Optimization, and Data Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-95470-3_8.
LibreCat | DOI | Download (ext.)
 

2022 | Book Chapter | LibreCat-ID: 33738 | OA
Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, Stefan Balke, Jonas Haupt, Martin Voigt, Carolin Walter, Fabian Witter, and Axel-Cyrille Ngonga Ngomo. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.” In The Semantic Web: ESWC 2022 Satellite Events. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-11609-4_9.
LibreCat | DOI | Download (ext.)
 

2022 | Book Chapter | LibreCat-ID: 38506
Zahera, H.M.A, Daniel Vollmers, Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs.” In The Semantic Web – ISWC 2022. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-19433-7_18.
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2022 | Book Chapter | LibreCat-ID: 33740 | OA
KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Learning Concept Lengths Accelerates Concept Learning in ALC.” In The Semantic Web. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-06981-9_14.
LibreCat | Files available | DOI | Download (ext.)
 

2021 | Book Chapter | LibreCat-ID: 29046
Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Cham, 2021. https://doi.org/10.1007/978-3-030-91608-4_11.
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2021 | Conference Paper | LibreCat-ID: 21378
Hartel, Rita, and Alexander Dunst. “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, 2021. https://doi.org/10.1007/978-3-030-68780-9_19.
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2021 | Book Chapter | LibreCat-ID: 22057
Jager, Tibor, Rafael Kurek, and David Niehues. “Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance.” In Public-Key Cryptography – PKC 2021. Cham, 2021. https://doi.org/10.1007/978-3-030-75245-3_22.
LibreCat | Files available | DOI
 

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

2021 | Conference Paper | LibreCat-ID: 27381
Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.
LibreCat | DOI | arXiv
 

2021 | Book Chapter | LibreCat-ID: 26888
Götte, Thorsten, Christina Kolb, Christian Scheideler, and Julian Werthmann. “Beep-And-Sleep: Message and Energy Efficient Set Cover.” In Algorithms for Sensor Systems (ALGOSENSORS ’21). Cham, 2021. https://doi.org/10.1007/978-3-030-89240-1_7.
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2021 | Conference Paper | LibreCat-ID: 29566
Bobolz, Jan, Fabian Eidens, Stephan Krenn, Sebastian Ramacher, and Kai Samelin. “Issuer-Hiding Attribute-Based Credentials.” In Cryptology and Network Security. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-92548-2_9.
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2021 | Book Chapter | LibreCat-ID: 32868
Nagbøl, Per Rådberg, Oliver Müller, and Oliver Krancher. “Designing a Risk Assessment Tool for Artificial Intelligence Systems.” In The Next Wave of Sociotechnical Design. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-82405-1_32.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 29292 | OA
Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-91608-4_11.
LibreCat | Files available | DOI | Download (ext.)
 

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