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244 Publications
2024 | Book Chapter | LibreCat-ID: 53942
Karakaya, K., Schott, S., Klauke, J., Bodden, E., Schmidt, M., Luo, L., & He, D. (2024). SootUp: A Redesign of the Soot Static Analysis Framework. In Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-57246-3_13
LibreCat
| DOI
2024 | Book Chapter | LibreCat-ID: 54412
Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2024). ESLM: Improving Entity Summarization by Leveraging Language Models. In The Semantic Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60626-7_9
LibreCat
| DOI
2024 | Book Chapter | LibreCat-ID: 54580
Mahmood, Y., Virtema, J., Barlag, T., & Ngonga Ngomo, A.-C. (2024). Computing Repairs Under Functional and Inclusion Dependencies via Argumentation. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56940-1_2
LibreCat
| DOI
2024 | Book Chapter | LibreCat-ID: 54624
Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. In Artificial Intelligence in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14
LibreCat
| DOI
2024 | Book Chapter | LibreCat-ID: 52759
Preuß, O. L., Rook, J., & Trautmann, H. (2024). On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In Applications of Evolutionary Computation. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56852-7_20
LibreCat
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2024 | Book Chapter | LibreCat-ID: 54802
Kostitsyna, I., Liedtke, D., & Scheideler, C. (2024). Universal Coating by 3D Hybrid Programmable Matter. In Y. Emek (Ed.), Structural Information and Communication Complexity. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60603-8_21
LibreCat
| DOI
2024 | Book Chapter | LibreCat-ID: 54818
Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. In Artificial Intelligence in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 43395
Trentinaglia, R., Merschjohann, S., Fockel, M., & Eikerling, H. (2023). Eliciting Security Requirements – An Experience Report. REFSQ 2023: Requirements Engineering: Foundation for Software Quality. https://doi.org/10.1007/978-3-031-29786-1_25
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 44769
Castenow, J., Harbig, J., & Meyer auf der Heide, F. (2023). Unifying Gathering Protocols for Swarms of Mobile Robots. In Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-031-30448-4_1
LibreCat
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2023 | Book Chapter | LibreCat-ID: 46867
Dieter, P. (2023). A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43612-3_14
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 47953
Kornowicz, J., & Thommes, K. (2023). Aggregating Human Domain Knowledge for Feature Ranking. Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_7
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 50479
Qudus, U., Röder, M., Kirrane, S., & Ngomo, A.-C. N. (2023). TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, & J. Li (Eds.), The Semantic Web – ISWC 2023 (Vol. 14265, pp. 465–483). Springer, Cham. https://doi.org/10.1007/978-3-031-47240-4_25
LibreCat
| Files available
| DOI
2023 | Book Chapter | LibreCat-ID: 46191
Alt, C., Kenter, T., Faghih-Naini, S., Faj, J., Opdenhövel, J.-O., Plessl, C., Aizinger, V., Hönig, J., & Köstler, H. (2023). Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-32041-5_5
LibreCat
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. 26th International Conference on Discovery Science , 14050, 189–203. https://doi.org/10.1007/978-3-031-45275-8_13
LibreCat
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2023 | Book Chapter | LibreCat-ID: 47421 | 
Kouagou, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis in ALCHIQ(D). In Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43421-1_12
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2023 | Book Chapter | LibreCat-ID: 52859
de Camargo e Souza Câmara, I., & Turhan, A.-Y. (2023). Deciding Subsumption in Defeasible $ELI$ with Typicality Models. In Logics in Artificial Intelligence. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43619-2_36
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 46572
Gusmita, R. H., Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In Natural Language Processing and Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_12
LibreCat
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2023 | Book Chapter | LibreCat-ID: 46516
Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., & Ngonga Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language Models. In Natural Language Processing and Information Systems. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_9
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 54579
Mahmood, Y., & Virtema, J. (2023). Parameterized Complexity of Propositional Inclusion and Independence Logic. In Logic, Language, Information, and Computation. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-39784-4_17
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. In Discovery Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13
LibreCat
| DOI