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10720 Publications
2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko, Alexander, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, and Benno Stein. “Touché: First Shared Task on Argument Retrieval.” In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 517–23, 2020.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel, Johannes, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 53–62, 2020.
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2020 | Journal Article | LibreCat-ID: 15836
Bellman, K., N. Dutt, L. Esterle, A. Herkersdorf, A. Jantsch, C. Landauer, P. R. Lewis, Marco Platzner, N. TaheriNejad, and K. Tammemäe. “Self-Aware Cyber-Physical Systems.” ACM Transactions on Cyber-Physical Systems Accepted for Publication (2020): 1–24.
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2020 | Journal Article | LibreCat-ID: 15025
Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation 28, no. 2 (2020): 165–193. https://doi.org/10.1162/evco_a_00266.
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2020 | Conference Paper | LibreCat-ID: 15163
Feldmann, Nadine, Veronika Schulze, Benjamin Jurgelucks, and Bernd Henning. “Solving Piezoelectric Inverse Problems Using Algorithmic Differentiation.” In Fortschritte Der Akustik - DAGA 2020, 1125–28, 2020.
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2020 | Conference Paper | LibreCat-ID: 15169
Castenow, Jannik, Christina Kolb, and Christian 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). ACM, n.d.
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2020 | Conference Paper | LibreCat-ID: 15264
Johannesmann, Sarah, Sebastian Becker, Manuel Webersen, and Bernd Henning. “Determination of Murnaghan Constants of Plate-Shaped Polymers under Uniaxial Tensile Load.” In SMSI 2020 - Measurement Science, 2020. https://doi.org/10.5162/SMSI2020/D6.1.
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2020 | Book Chapter | LibreCat-ID: 15267
Yigitbas, Enes, Ivan Jovanovikj, Stefan Sauer, and Gregor Engels. “On the Development of Context-Aware Augmented Reality Applications .” In Handling Security, Usability, User Experience and Reliability in User-Centered Development Processes - IFIP WG 13.2/13.5. Springer, LNCS, 2020.
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2020 | Conference Paper | LibreCat-ID: 16213
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.” In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020. https://doi.org/10.1145/3386263.3406952.
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2020 | Conference Paper | LibreCat-ID: 16219 |
Schneider, Stefan Balthasar, Narayanan Puthenpurayil Satheeschandran, Manuel Peuster, and Holger Karl. “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.” In IEEE Conference on Network Softwarization (NetSoft). IEEE, 2020.
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2020 | Conference Paper | LibreCat-ID: 16222
Zafeiropoulos, A., E. Fotopoulou, Manuel Peuster, Stefan Balthasar Schneider, P. Gouvas, D. Behnke, M. Müller, et al. “Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case.” In IEEE Conference on Network Softwarization (NetSoft), 2020.
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2020 | Conference Paper | LibreCat-ID: 16274
Jovanovikj, Ivan, Achyuth Nagaraj, Enes Yigitbas, Anthony Anjorin, Stefan Sauer, and Gregor Engels. “Validating Test Case Migration via Mutation Analysis .” In Proceedings of the 1st IEEE/ACM International Conference on Automation of Software Test AST, 31–40. ACM, 2020.
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2020 | Journal Article | LibreCat-ID: 16278
Nomikos, Nikolaos, Emmanouel T. Michailidis, Panagiotis Trakadas, Demosthenes Vouyioukas, Holger Karl, Josep Martrat, Theodore Zahariadis, Konstantinos Papadopoulos, and Stamatis Voliotis. “A UAV-Based Moving 5G RAN for Massive Connectivity of Mobile Users and IoT Devices.” Vehicular Communications, 2020. https://doi.org/10.1016/j.vehcom.2020.100250.
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2020 | Journal Article | LibreCat-ID: 16280
Li, Feng, Dongxiao Yu, Huan Yang, Jiguo Yu, Holger Karl, and Xiuzhen Cheng. “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey.” IEEE Wireless Communications, 2020, 24–30. https://doi.org/10.1109/mwc.001.1900280.
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2020 | Journal Article | LibreCat-ID: 16288
Klus, Stefan, Feliks Nüske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, and Christof Schütte. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.” Physica D: Nonlinear Phenomena 406 (2020). https://doi.org/10.1016/j.physd.2020.132416.
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2020 | Book Chapter | LibreCat-ID: 16289
Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.” In Lecture Notes in Control and Information Sciences, 484:257–82. Lecture Notes in Control and Information Sciences. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-35713-9_10.
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2020 | Journal Article | LibreCat-ID: 16290 |
Bieker, Katharina, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz, and Michael Dellnitz. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.” Theoretical and Computational Fluid Dynamics 34 (2020): 577–591. https://doi.org/10.1007/s00162-020-00520-4.
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2020 | Journal Article | LibreCat-ID: 16299
Castenow, Jannik, Matthias Fischer, Jonas Harbig, Daniel Jung, and Friedhelm Meyer auf der Heide. “Gathering Anonymous, Oblivious Robots on a Grid.” Theoretical Computer Science 815 (2020): 289–309. https://doi.org/10.1016/j.tcs.2020.02.018.
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2020 | Journal Article | LibreCat-ID: 16309
Peitz, Sebastian, Samuel E. Otto, and Clarence W. Rowley. “Data-Driven Model Predictive Control Using Interpolated Koopman Generators.” SIAM Journal on Applied Dynamical Systems 19, no. 3 (2020): 2162–93. https://doi.org/10.1137/20M1325678.
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2020 | Conference Paper | LibreCat-ID: 16363
Hansmeier, Tim, Paul Kaufmann, and Marco 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, 125–26. New York, NY, United States: Association for Computing Machinery (ACM), 2020. https://doi.org/10.1145/3377929.3389968.
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