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Szubartowicz, Eva, and Guido 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, Information Institute Publishing, Washington DC, USA, 2020, pp. 3–31.
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Hoyer, Britta, et al. “Gender, Competitiveness, and Task Difficulty: Evidence from the Field.”10.1016/j.labeco.2020.101815__Labour Economics, 2020, doi:10.1016/j.labeco.2020.101815.
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Jovanovikj, Ivan, et al. “Validating Test Case Migration via Mutation Analysis .” Proceedings of the 1st IEEE/ACM International Conference on Automation of Software Test AST, ACM, 2020, pp. 31–40.
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Nomikos, Nikolaos, et al. “A UAV-Based Moving 5G RAN for Massive Connectivity of Mobile Users and IoT Devices.”10.1016/j.vehcom.2020.100250__Vehicular Communications, 100250, 2020, doi:10.1016/j.vehcom.2020.100250.
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Li, Feng, et al. “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey.”10.1109/mwc.001.1900280__IEEE Wireless Communications, 2020, pp. 24–30, doi:10.1109/mwc.001.1900280.
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Klus, Stefan, et al. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.”10.1016/j.physd.2020.132416__Physica D: Nonlinear Phenomena, vol. 406, 132416, 2020, doi:10.1016/j.physd.2020.132416.
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Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.”10.1007/978-3-030-35713-9_10__Lecture Notes in Control and Information Sciences, vol. 484, Springer, 2020, pp. 257–82, doi:10.1007/978-3-030-35713-9_10.
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Bieker, Katharina, et al. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.”10.1007/s00162-020-00520-4__Theoretical and Computational Fluid Dynamics, vol. 34, 2020, pp. 577–591, doi:10.1007/s00162-020-00520-4.
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Castenow, Jannik, et al. “Gathering Anonymous, Oblivious Robots on a Grid.”10.1016/j.tcs.2020.02.018__Theoretical Computer Science, vol. 815, 2020, pp. 289–309, doi:10.1016/j.tcs.2020.02.018.
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Wecker, Christian, et al. Numerische Untersuchungen Des Stofftransports in Flüssig-Flüssig-Systemen Unter Berücksichtigung Der Marangonikonvektion. Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, 2020.
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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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Peitz, Sebastian, et al. “Data-Driven Model Predictive Control Using Interpolated Koopman  Generators.”10.1137/20M1325678__SIAM Journal on Applied Dynamical Systems, vol. 19, no. 3, 2020, pp. 2162–93, doi:10.1137/20M1325678.
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Burkhardt, Lukas, et al. “Electronic Structure of the Hieber Anion [Fe(CO)3(NO)] Revisited by X-Ray Emission and Absorption Spectroscopy.”10.1021/acs.inorgchem.9b02092__Inorganic Chemistry, 2020, pp. 3551–61, doi:10.1021/acs.inorgchem.9b02092.
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Hoyer, Britta, and Nadja Stroh-Maraun. “Matching Strategies of Heterogeneous Agents under Incomplete Information in a University Clearinghouse.”10.1016/j.geb.2020.03.006__Games and Economic Behavior, vol. 121, 2020, pp. 453–81, doi:10.1016/j.geb.2020.03.006.
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Daymude, Joshua J., et al. “Convex Hull Formation for Programmable Matter.”10.1145/3369740.3372916__Proceedings of the 21st International Conference on Distributed Computing and Networking, 2020, doi:10.1145/3369740.3372916.
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Hansmeier, Tim, et al. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.”10.1145/3377929.3389968__GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2020, pp. 125–26, doi:10.1145/3377929.3389968.
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Oczko, Marie-Christin H., et al. “Integrating Haptic Signals with X-Based Safety Systems for Vulnerable Road Users.”10.1109/icnc47757.2020.9049723__2020 International Conference on Computing, Networking and Communications (ICNC), 2020, doi:10.1109/icnc47757.2020.9049723.
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