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10199 Publications
2020 | Conference Paper | LibreCat-ID: 15163
N. Feldmann, V. Schulze, B. Jurgelucks, and B. Henning, “Solving piezoelectric inverse problems using Algorithmic Differentiation,” in Fortschritte der Akustik - DAGA 2020, 2020, pp. 1125–1128.
LibreCat
2020 | Conference Paper | LibreCat-ID: 15169
J. Castenow, C. Kolb, and C. Scheideler, “A Bounding Box Overlay for Competitive Routing in Hybrid Communication Networks,” in Proceedings of the 21st International Conference on Distributed Computing and Networking (ICDCN), Kolkata, Indien.
LibreCat
2020 | Conference Abstract | LibreCat-ID: 15210
J. Seutter, J. Neumann, and D. Kundisch, “Nudging in Judging- Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects,” in Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), Potsdam, Germany, 2020.
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2020 | Conference Abstract | LibreCat-ID: 15211
D. Szopinski, T. Schoormann, and D. Kundisch, “Visualize different: Towards researching the fit between taxonomy visualizations and taxonomy tasks,” in Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), Potsdam, Germany, 2020.
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2020 | Conference Abstract | LibreCat-ID: 15225
M. Poniatowski and J. Neumann, “You Write What You Are - Exploring the Relationship between Online Reviewers’ Personality Traits and Their Reviewing Behavior,” in Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), Potsdam, Germany, 2020.
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2020 | Conference Paper | LibreCat-ID: 15256
J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272.
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2020 | Conference Paper | LibreCat-ID: 16219 | 
S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization,” in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium, 2020.
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2020 | Journal Article | LibreCat-ID: 16249 |
E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements,” Journal of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.
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2020 | Journal Article | LibreCat-ID: 16290 |
K. Bieker, S. Peitz, S. L. Brunton, J. N. Kutz, and M. Dellnitz, “Deep model predictive flow control with limited sensor data and online learning,” Theoretical and Computational Fluid Dynamics, vol. 34, pp. 577–591, 2020.
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2020 | Journal Article | LibreCat-ID: 16309
S. Peitz, S. E. Otto, and C. W. Rowley, “Data-Driven Model Predictive Control using Interpolated Koopman Generators,” SIAM Journal on Applied Dynamical Systems, vol. 19, no. 3, pp. 2162–2193, 2020.
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2020 | Conference Paper | LibreCat-ID: 16363
T. Hansmeier, P. Kaufmann, and M. Platzner, “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold,” in GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, 2020, pp. 125–126.
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2020 | Conference Paper | LibreCat-ID: 16400
M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl, “Cloud-Native Threat Detection and Containment for Smart Manufacturing,” in IEEE Conference on Network Softwarization (NetSoft) Demo Track, Ghent, Belgium, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 13868
S. Pukrop, A. Mäcker, and F. Meyer auf der Heide, “Approximating Weighted Completion Time for Order Scheduling with Setup Times,” in Proceedings of the 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM), 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 13584
D. Szopinski, T. Schoormann, and D. Kundisch, “Criteria as a prelude for guiding taxonomy evaluation,” in Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 2020.
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2020 | Journal Article | LibreCat-ID: 21252
A. Traue, G. Book, W. Kirchgässner, and O. Wallscheid, “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–10, 2020, doi: 10.1109/tnnls.2020.3029573.
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