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12150 Publications


2023 | Book Chapter | LibreCat-ID: 52810
Göller, R., Gildehaus, L., Liebendörfer, M., & Besser, M. (2023). Erfassung und Vergleich (mathematischer) Eingangsvoraussetzungen angehender Studierender verschiedener mathematikhaltiger Studiengänge. In J. Härterich, M. Kallweit, K. Rolka, & T. Skill (Eds.), Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2021. Beiträge zum gleichnamigen Online-Symposium am 12 November 2021 aus Bochum (pp. 66–80). WTM.
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2023 | Book Chapter | LibreCat-ID: 52809
Kempen, L., & Liebendörfer, M. (2023). Zu digital - zu viel - zu schwer? Qualitative Einsichten in das Erleben und Handeln von Erstsemester-Studierenden der Mathematik während der Corona-Pandemie. In J. Härterich, M. Kallweit, K. Rolka, & T. Skill (Eds.), Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2021. Beiträge zum gleichnamigen Online-Symposium am 12 November 2021 aus Bochum (pp. 91–106). WTM.
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2023 | Book Chapter | LibreCat-ID: 52813
Schlüter, S., & Liebendörfer, M. (2023). Bearbeitungsmuster von Studierenden im Umgang mit formalen Definitionen im Kontext konstanter Folgen. In I.-P. Goethe-Universität Frankfur (Ed.), Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik (Vol. 2, pp. 1177–1180). WTM. https://doi.org/10.37626/GA9783959872089.0
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2023 | Book Chapter | LibreCat-ID: 52812
Krämer, S., & Liebendörfer, M. (2023). Förderung prozeduraler Flexibilität durch Lernvideos mit interaktiven Aufgaben. In I.-P. Goethe-Universität Frankfur (Ed.), Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik (Vol. 2, pp. 949–952). WTM. https://doi.org/10.37626/GA9783959872089.0
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2023 | Conference Paper | LibreCat-ID: 34395
Gräßler, I., Hieb, M., Roesmann, D., & Unverzagt, M. (2023). Creating Synthetic Training Data for Machine Vision Quality Gates (V. Lohweg, Ed.; pp. 95–106). Springer Vieweg. https://doi.org/10.1007/978-3-662-66769-9_7
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2023 | Journal Article | LibreCat-ID: 52861
Gil, O. F., Patrizi, F., Perelli, G., & Turhan, A.-Y. (2023). Optimal Alignment of Temporal Knowledge Bases. CoRR, abs/2307.15439. https://doi.org/10.48550/ARXIV.2307.15439
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2023 | Conference Paper | LibreCat-ID: 52863
Ŝkvorc, U., Eftimov, T., & Koro]ec, P. (2023). Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. 2023 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci52147.2023.10371868
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2023 | Conference Paper | LibreCat-ID: 52913
Turhan, A.-Y. (2023). Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited Talk). In O. Kutz, C. Lutz, & A. Ozaki (Eds.), Proceedings of the 36th International Workshop on Description Logics {(DL} 2023) co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023 (Vol. 3515). CEUR-WS.org.
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2023 | Conference Paper | LibreCat-ID: 46745
Lammers, S., Koers, T., Magyar, B., Zimmer, D., & Lieneke, T. (2023). Depiction of support structures in technical drawings. 34th Annual Solid Freeform Fabrication Symposium, Austin, TExas, USA.
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2023 | Book Review | LibreCat-ID: 50264
Tönnies, M. (2023). Christine Schwanecke: A Narratology of Drama: Dramatic Storytelling in Theory, History, and Culture from the Renaissance to the Twenty-First Century (Vol. 34, Issue 3, pp. 268–270). https://doi.org/ https://doi.org/10.33675/ANGL/2023/3/20
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2023 | Misc | LibreCat-ID: 52671
Dumitrescu, R., & Hölzle, K. (2023). Vorausschau und Technologieplanung. 17. Symposium für Vorausschau und Technologieplanung : Vol. Band 413.
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2023 | Conference Paper | LibreCat-ID: 49654
Niere, N., Hebrok, S. N., Somorovsky, J., & Merget, R. (2023). Poster: Circumventing the GFW with TLS Record Fragmentation. Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. https://doi.org/10.1145/3576915.3624372
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2023 | Conference Paper | LibreCat-ID: 53260
Soleymani, M., Santamaria, I., & Jorswieck, E. (2023). Energy-Efficient Rate Splitting for MIMO STAR-RIS-Assisted Broadcast Channels with I/Q Imbalance. 2023 31st European Signal Processing Conference (EUSIPCO). https://doi.org/10.23919/eusipco58844.2023.10289964
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2023 | Journal Article | LibreCat-ID: 53262
Santamaria, I., Soleymani, M., Jorswieck, E., & Gutiérrez, J. (2023). SNR Maximization in Beyond Diagonal RIS-Assisted Single and Multiple Antenna Links. IEEE Signal Processing Letters, 30, 923–926. https://doi.org/10.1109/lsp.2023.3296902
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2023 | Journal Article | LibreCat-ID: 53261
Soleymani, M., Santamaria, I., Jorswieck, E., & Clerckx, B. (2023). Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-assisted URLLC Systems. IEEE Transactions on Wireless Communications, 1–1. https://doi.org/10.1109/twc.2023.3324190
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2023 | Journal Article | LibreCat-ID: 53265
Soleymani, M., Santamaria, I., Jorswieck, E., & Rezvani, S. (2023). NOMA-Based Improper Signaling for Multicell MISO RIS-Assisted Broadcast Channels. IEEE Transactions on Signal Processing, 71, 963–978. https://doi.org/10.1109/tsp.2023.3259145
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2023 | Journal Article | LibreCat-ID: 53263
Soleymani, M., Santamaria, I., & Jorswieck, E. A. (2023). Spectral and Energy Efficiency Maximization of MISO STAR-RIS-Assisted URLLC Systems. IEEE Access, 11, 70833–70852. https://doi.org/10.1109/access.2023.3294092
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2023 | Conference Paper | LibreCat-ID: 53264
Santamaria, I., Soleymani, M., Jorswieck, E., & Gutiérrez, J. (2023). Interference Leakage Minimization in RIS-Assisted MIMO Interference Channels. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp49357.2023.10094656
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2023 | Journal Article | LibreCat-ID: 53301
Vieluf, S., Hasija, T., Kuschel, M., Reinsberger, C., & Loddenkemper, T. (2023). Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications, 234, Article 120986. https://doi.org/10.1016/j.eswa.2023.120986
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2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, M., Marrinan, T., & Hasija, T. (2023). Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). https://doi.org/10.1109/mlsp55844.2023.10285937
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