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10483 Publications
2024 | Conference Paper | LibreCat-ID: 54437
Heitmann, N., Siewert, H., Moog, S., & Somorovsky, J. (2024). Security Analysis of BigBlueButton and eduMEET. Applied Cryptography and Network Security. https://doi.org/10.1007/978-3-031-54776-8_8
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2024 | Conference Paper | LibreCat-ID: 54449 | 
KOUAGOU, N. J., Demir, C., Zahera, H. M. A., Wilke, A., Heindorf, S., Li, J., & Ngonga Ngomo, A.-C. (2024). Universal Knowledge Graph Embeddings. Companion Proceedings of the ACM on Web Conference 2024. Companion Proceedings of the ACM on Web Conference 2024, Singapore. https://doi.org/10.1145/3589335.3651978
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2024 | Preprint | LibreCat-ID: 54448 |
Köhler, D., & Heindorf, S. (2024). Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks. In arXiv:2405.12654.
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2024 | Conference Paper | LibreCat-ID: 52231 |
Blübaum, L., & Heindorf, S. (n.d.). Causal Question Answering with Reinforcement Learning. The World Wide Web Conference (WWW), 2204–2215. https://doi.org/10.1145/3589334.3645610
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2024 | Journal Article | LibreCat-ID: 54459
Knorr, L., Schlosser, F., Horstmann, N., Divkovic, D., & Meschede, H. (2024). Flexible operation and integration of high-temperature heat pumps using large temperature glides. Applied Energy, 368, Article 123417. https://doi.org/10.1016/j.apenergy.2024.123417
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2024 | Conference Paper | LibreCat-ID: 54468
Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (2024). DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing. To Apear in IEEE ISVLSI 2024. IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA.
LibreCat
2024 | Journal Article | LibreCat-ID: 54548
Prager, R. P., & Trautmann, H. (2024). Exploratory Landscape Analysis for Mixed-Variable Problems. IEEE Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2024.3399560
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2024 | Conference Paper | LibreCat-ID: 54559
Tissen, D., Wiederkehr, I., Koldewey, C., & Dumitrescu, R. (2024). Exploring data-driven model-based systems engineering: a systematic literature review. 2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). https://doi.org/10.1109/ictmod59086.2023.10438129
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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
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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
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2024 | Conference Paper | LibreCat-ID: 54642
Dietrich, K., Prager, R., Doerr, C., & Trautmann, H. (2024). Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. In M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, & T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII (pp. 1–14). Springer International Publishing.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54643
Seiler, M., Skvorc, U., Cenikj, G., Doerr, C., & Trautmann, H. (2024). Learned Features vs. Classical ELA on Affine BBOB Functions. In M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, & T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII (pp. 1–14). Springer International Publishing.
LibreCat
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
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2024 | Conference Paper | LibreCat-ID: 52749
Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., & Trautmann, H. (2024). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci52147.2023.10372008
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2024 | Journal Article | LibreCat-ID: 53309
Hölsch, L., Brosch, A., Steckel, R., Braun, T., Wendel, S., Böcker, J., & Wallscheid, O. (2024). Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives. IEEE Transactions on Energy Conversion, 1–12. https://doi.org/10.1109/tec.2024.3374962
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2024 | Conference Paper | LibreCat-ID: 54742
Wiecher, C., Mandel, C., Günther, M., Fischbach, J., Greenyer, J., Greinert, M., Wolff, C., Dumitrescu, R., Mendez, D., & Albers, A. (2024). Model‐based analysis and specification of functional requirements and tests for complex automotive systems. Systems Engineering. Tag des Systems Engineering 2023, Würzburg. https://doi.org/10.1002/sys.21748
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2024 | Journal Article | LibreCat-ID: 54741
von Enzberg, S., Weller, J., Pöhler, P., Kühn, A., Römer, M., & Dumitrescu, R. (2024). Künstliche Intelligenz in der Produktionsplanung und -steuerung. Zeitschrift Für Wirtschaftlichen Fabrikbetrieb, 119(5), 349–355. https://doi.org/10.1515/zwf-2024-1065
LibreCat
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2024 | Conference Paper | LibreCat-ID: 54743
Koldewey, C., Ebel, M., Winter, J., & Dumitrescu, R. (2024). Data-driven Services and Servitization in Manufacturing: Innovation, Engineering, Transformation, and Management. Proceedings of the 57th Hawaii International Conference on System Sciences | 2024. Hawaii International Conference on System Sciences , Hawaii.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54751
Heuwinkel, T., Merkelbach, S., Janssen, N., Enzberg, S. von, & Dumitrescu, R. (2024). Leveraging self-supervised learning for vibration data in industrial separators. ML4CPS – Machine Learning for Cyber-Physical Systems. https://doi.org/10.24405/15306
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2024 | Conference Paper | LibreCat-ID: 54752
Merkelbach, S., Diedrich, A., Von Enzberg, S., Niggemann, O., & Dumitrescu, R. (2024). Towards the generation of models for fault diagnosis of CPS using VQA models. ML4CPS – Machine Learning for Cyber-Physical Systems. https://doi.org/10.24405/15314
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