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1602 Publications
2020 | Bachelorsthesis | LibreCat-ID: 20820
Thiele, S. (2020). Implementing Machine Learning Functions as PYNQ FPGA Overlays.
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2020 | Mastersthesis | LibreCat-ID: 20821
Jaganath, V. (2020). Extension and Evaluation of Python-based High-Level Synthesis Tool Flows.
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2020 | Bachelorsthesis | LibreCat-ID: 18066
Skowronek, M. (2020). Approaches for Competetive Routing through Intersections of Hole Abstractions in Hybrid Communication Networks. Universität Paderborn.
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2020 | Conference Paper | LibreCat-ID: 18249 | 
Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). Model-based Product Configuration in Augmented Reality Applications. In R. Bernhaupt, C. Ardito, & S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol. 12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_5
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2020 | Conference Paper | LibreCat-ID: 18276
Tornede, A., Wever, M. D., Werner, S., Mohr, F., & Hüllermeier, E. (2020). Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML 2020. 12th Asian Conference on Machine Learning, Bangkok, Thailand.
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2020 | Dissertation | LibreCat-ID: 18520
Setzer, A. (2020). Local Graph Transformation Primitives For Some Basic Problems In Overlay Networks. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1026
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2020 | Bachelorsthesis | LibreCat-ID: 18637 |
Schürmann, P. (2020). A Group Signature Scheme from Flexible Public Key Signatures and Structure-Preserving Signatures on Equivalence Classes. Universität Paderborn.
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2020 | Bachelorsthesis | LibreCat-ID: 18639
Terfort, T. (2020). Enhancing Security by Usage of Universal One-Way Hash Functions. Universität Paderborn.
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2020 | Bachelorsthesis | LibreCat-ID: 18648
Guggenmos, A. (2020). Algorithmen für selbststabilisierende Skip+-Delaunaygraphen. Universität Paderborn.
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2020 | Working Paper | LibreCat-ID: 22161
Kundisch, D. (2020). Digitale mehrseitige Plattformen – Besser verstehen, wie digitale Plattformen funktionieren (Vol. 3).
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2020 | Journal Article | LibreCat-ID: 6202
Szopinski, D., Schoormann, T., John, T., Knackstedt, R., & Kundisch, D. (2020). Software tools for business model innovation: Current state and future challenges. Electronic Markets, 30(3), 469–494.
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2020 | Journal Article | LibreCat-ID: 4627
Kaimann, D. (2020). Ancillary market signaling: A two-stage model of economic reputation on ancillary market success. Applied Economics Letters, 27(16), 1366–1370. https://doi.org/10.1080/13504851.2019.1683136
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2020 | Conference Paper | LibreCat-ID: 16487 |
Bobolz, J., Eidens, F., Krenn, S., Slamanig, D., & Striecks, C. (2020). Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection. In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20),. New York, NY, USA: ACM. https://doi.org/10.1145/3320269.3384769
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2020 | Conference Paper | LibreCat-ID: 16724
Sharma, A., & Wehrheim, H. (n.d.). Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models. In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM.
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2020 | Journal Article | LibreCat-ID: 16725
Richter, C., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (n.d.). Algorithm Selection for Software Validation Based on Graph Kernels. Journal of Automated Software Engineering.
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2020 | Conference Paper | LibreCat-ID: 16726
Razzaghi Kouchaksaraei, H., Shivarpatna Venkatesh, A. P., Churi, A., Illian, M., & Karl, H. (n.d.). Dynamic Provisioning of Network Services on Heterogeneous Resources. In European Conference on Networks and Communications (EUCNC 2020).
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2020 | Journal Article | LibreCat-ID: 16902
Feldmann, M., Scheideler, C., & Schmid, S. (2020). Survey on Algorithms for Self-Stabilizing Overlay Networks. ACM Computing Surveys. https://doi.org/10.1145/3397190
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2020 | Dissertation | LibreCat-ID: 16910
Stroh-Maraun, N. (2020). Mechanisms, Preferences, and Heterogeneity in Matching Markets. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-958
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2020 | Conference Paper | LibreCat-ID: 16933 |
Gottschalk, S., Rittmeier, F., & Engels, G. (2020). Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In Proceedings of the 22nd IEEE International Conference on Business Informatics. Antwerp: IEEE. https://doi.org/10.1109/CBI49978.2020.00022
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2020 | Conference Paper | LibreCat-ID: 16934 |
Gottschalk, S., Yigitbas, E., & Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. https://doi.org/10.1007/978-3-030-52306-0_18
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