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12866 Publications


2020 | Dissertation | LibreCat-ID: 15482
Löken, Nils. Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work. 2020, doi:10.17619/UNIPB/1-854.
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2020 | Conference Abstract | LibreCat-ID: 15211
Szopinski, Daniel, et al. “Visualize Different: Towards Researching the Fit between Taxonomy Visualizations and Taxonomy Tasks.” Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), 2020.
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2020 | Journal Article | LibreCat-ID: 16288
Klus, Stefan, et al. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.” Physica D: Nonlinear Phenomena, vol. 406, 132416, 2020, doi:10.1016/j.physd.2020.132416.
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2020 | Journal Article | LibreCat-ID: 16303
Hannes, W. R., et al. “Strongly Nonresonant Four-Wave Mixing in Semiconductors.” Physical Review B, vol. 101, 2020, p. 075203, doi:10.1103/physrevb.101.075203.
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2020 | Conference Abstract | LibreCat-ID: 16308
Schulz, Andreas, et al. Ein PLIC-Basierter Ansatz Zur Erfassung Des Stoffübergangs an Bewegten Phasengrenzflächen. Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, 2020.
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2020 | Journal Article | LibreCat-ID: 16334
Hoyer, Britta, and Nadja Stroh-Maraun. “Matching Strategies of Heterogeneous Agents under Incomplete Information in a University Clearinghouse.” Games and Economic Behavior, vol. 121, 2020, pp. 453–81, doi:10.1016/j.geb.2020.03.006.
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2020 | Conference Paper | LibreCat-ID: 16346
Daymude, Joshua J., et al. “Convex Hull Formation for Programmable Matter.” Proceedings of the 21st International Conference on Distributed Computing and Networking, 2020, doi:10.1145/3369740.3372916.
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2020 | Conference Abstract | LibreCat-ID: 16207
Heine, Jens, et al. Stofftransportmessung Am Ruhenden Und Bewegten Einzeltropfen. Jahrestreffen der ProcessNet-Fachgruppe Extraktion, 2020.
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2020 | Conference Paper | LibreCat-ID: 16214
Pauck, Felix, et al. “Reproducing Taint-Analysis Results with ReproDroid.” Software Engineering 2020, Fachtagung Des GI-Fachbereichs Softwaretechnik, 24.-28. Februar 2020, Innsbruck, Austria, edited by Michael Felderer et al., vol. {P-300}, Gesellschaft f{\"{u}}r Informatik e.V., 2020, pp. 123–24.
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2020 | Conference Paper | LibreCat-ID: 16219
Schneider, Stefan Balthasar, et al. “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.” IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020.
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