Unruh, R., Böcker, J., &; Schafmeister, F. (n.d.). Experimentally Verified 22 kW, 30 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter. ECCE Europe 2024; IEEE Energy Conversion Congress &; Exposition Europe. ECCE Europe, Darmstadt.
LibreCat: /record/54356

Firmansyah, A. F., Moussallem, D., &; Ngomo, A.-C. N. (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: /record/54412
DOI: 10.1007/978-3-031-60626-7_9

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 
LibreCat: /record/54437
DOI: 10.1007/978-3-031-54776-8_8

Mindlin, D., Beer, F., Sieger, L. N., Heindorf, S., Cimiano, P., Esposito, E., &; Ngonga-Ngomo, A.-C. (2024). Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches. Research Square Platform LLC.
LibreCat: /record/54450

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 
LibreCat: /record/54449
DOI: 10.1145/3589335.3651978

Köhler, D., &; Heindorf, S. (2024). Utilizing Description Logics for Global Explanations of Heterogeneous  Graph Neural Networks. In arXiv:2405.12654.
LibreCat: /record/54448
arXiv: 2405.12654

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 
LibreCat: /record/52231
DOI: 10.1145/3589334.3645610

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 
LibreCat: /record/54459
DOI: 10.1016/j.apenergy.2024.123417

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: /record/54468

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 
LibreCat: /record/54548
DOI: 10.1109/TEVC.2024.3399560

Dann, A. P., Hermann, B., &; Bodden, E. (2023). UpCy: Safely Updating Outdated Dependencies.
LibreCat: /record/35083

Peitz, S., &; Bieker, K. (2023). On the Universal Transformation of Data-Driven Models to Control Systems. Automatica, 149, Article 110840.https://doi.org/10.1016/j.automatica.2022.110840 
LibreCat: /record/21199
DOI: 10.1016/j.automatica.2022.110840

Möller, M. C., &; Krauter, S. (2023). Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink. Solar, 3(1), 25–48.https://doi.org/10.3390/solar3010003 
LibreCat: /record/35428
DOI: 10.3390/solar3010003

Biehler, R., Liebendörfer, M., Gueudet, G., Rasmussen, C., &; Winsløw, C. (Eds.). (2023). Practice-Oriented Research in Tertiary Mathematics Education. Springer International Publishing.https://doi.org/10.1007/978-3-031-14175-1 
LibreCat: /record/37469
DOI: 10.1007/978-3-031-14175-1

Schrader, E., Bernijazov, R., Foullois, M., Hillebrand, M., Kaiser, L., &; Dumitrescu, R. (2023). Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering. 2022 IEEE International Symposium on Systems Engineering (ISSE).https://doi.org/10.1109/isse54508.2022.10005487 
LibreCat: /record/37553
DOI: 10.1109/isse54508.2022.10005487

Richter, C., Haltermann, J. F., Jakobs, M.-C., Pauck, F., Schott, S., &; Wehrheim, H. (2023). Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs? 37th IEEE/ACM International Conference on Automated Software Engineering.https://doi.org/10.1145/3551349.3561156 
LibreCat: /record/35426
DOI: 10.1145/3551349.3561156

Schott, S., &; Pauck, F. (2023). Benchmark Fuzzing for Android Taint Analyses. 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM).https://doi.org/10.1109/scam55253.2022.00007 
LibreCat: /record/36848
DOI: 10.1109/scam55253.2022.00007

Pauck, F. (2023). Scaling Arbitrary Android App Analyses. 37th IEEE/ACM International Conference on Automated Software Engineering.https://doi.org/10.1145/3551349.3561339 
LibreCat: /record/35427
DOI: 10.1145/3551349.3561339

Noé, R. (2023). Consistent Optical and Electrical Noise Figure. Journal of Lightwave Technology, 41(1), 137–148.https://doi.org/10.1109/JLT.2022.3212936 
LibreCat: /record/38280
DOI: 10.1109/JLT.2022.3212936

Pilot, M. (2023). Updatable Privacy-Preserving Reputation System based on Blockchain.
LibreCat: /record/40440