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10457 Publications
2024 | Journal Article | LibreCat-ID: 54017
C. Kress, T. Schwabe, H. Rhee, and J. C. Scheytt, “Compact, High-Speed Mach-Zehnder Modulator with On-Chip Linear Drivers in Photonic BiCMOS Technology,” IEEE Access, pp. 1–1, 2024, doi: 10.1109/access.2024.3396877.
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2024 | Conference Paper | LibreCat-ID: 54355
D. Urbaneck, J. Wiegard, and F. Schafmeister, “Analysis of Inverter Operation Modes of an IGBT-Based ZCS LLC Converter for a 2 kW Automotive On-Board DC-DC,” Nuremberg.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54353
T. Piepenbrock, L. Keuck, S. Schachten, J. Böcker, and F. Schafmeister, “Study on Sample Geometries for Ferrite Characterisation in the MHz-Range,” Nuremberg.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54354
N. Förster, D. Urbaneck, B. Kohlhepp, D. Kübrich, and F. Schafmeister, “Pitfalls and their Avoidability in the Double-Pulse Test,” Nuremberg.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54437
N. Heitmann, H. Siewert, S. Moog, and J. Somorovsky, “Security Analysis of BigBlueButton and eduMEET,” Abu Dhabi, 2024, doi: 10.1007/978-3-031-54776-8_8.
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2024 | Conference Paper | LibreCat-ID: 54449 |

N. J. KOUAGOU et al., “Universal Knowledge Graph Embeddings,” presented at the Companion Proceedings of the ACM on Web Conference 2024, Singapore, 2024, doi: 10.1145/3589335.3651978.
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2024 | Preprint | LibreCat-ID: 54448 |

D. Köhler and S. Heindorf, “Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks,” arXiv:2405.12654. 2024.
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| arXiv
2024 | Conference Paper | LibreCat-ID: 52231 |

L. Blübaum and S. Heindorf, “Causal Question Answering with Reinforcement Learning,” in The World Wide Web Conference (WWW), Singapore, pp. 2204–2215, doi: 10.1145/3589334.3645610.
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2024 | Journal Article | LibreCat-ID: 54459
L. Knorr, F. Schlosser, N. Horstmann, D. Divkovic, and H. Meschede, “Flexible operation and integration of high-temperature heat pumps using large temperature glides,” Applied Energy, vol. 368, Art. no. 123417, 2024, doi: 10.1016/j.apenergy.2024.123417.
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2024 | Conference Paper | LibreCat-ID: 54468
M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing,” presented at the IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA, 2024.
LibreCat
2024 | Journal Article | LibreCat-ID: 54548
R. P. Prager and H. Trautmann, “Exploratory Landscape Analysis for Mixed-Variable Problems,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2024, doi: 10.1109/TEVC.2024.3399560.
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2024 | Conference Paper | LibreCat-ID: 54559
D. Tissen, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “Exploring data-driven model-based systems engineering: a systematic literature review,” 2024, doi: 10.1109/ictmod59086.2023.10438129.
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2024 | Conference Paper | LibreCat-ID: 54642
K. Dietrich, R. Prager, C. Doerr, and H. Trautmann, “Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization,” in Parallel Problem Solving from Nature — PPSN XVIII, 2024, pp. 1–14.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54643
M. Seiler, U. Skvorc, G. Cenikj, C. Doerr, and H. Trautmann, “Learned Features vs. Classical ELA on Affine BBOB Functions,” in Parallel Problem Solving from Nature — PPSN XVIII, 2024, pp. 1–14.
LibreCat
2024 | Book Chapter | LibreCat-ID: 52759
O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in Applications of Evolutionary Computation, Cham: Springer Nature Switzerland, 2024.
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2024 | Conference Paper | LibreCat-ID: 52749
M. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” 2024, doi: 10.1109/ssci52147.2023.10372008.
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