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2188 Publications


2020 | Journal Article | LibreCat-ID: 15628
Xu, Xiuling, Astrid Port, Christian Wiebeler, Kai-Hong Zhao, Igor Schapiro, and Wolfgang Gärtner. “Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome.” Proceedings of the National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.1910208117.
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 15629
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.” Springer, n.d.
LibreCat
 

2020 | Conference Paper | LibreCat-ID: 15635
Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.
LibreCat | Files available
 

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: 16219 | OA
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 | 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 | Journal Article | LibreCat-ID: 16290 | OA
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: 21252
Traue, Arne, Gerrit Book, Wilhelm Kirchgässner, and Oliver Wallscheid. “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and Learning Systems, 2020, 1–10. https://doi.org/10.1109/tnnls.2020.3029573.
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Estimating Electric Motor Temperatures with Deep Residual Machine Learning.” IEEE Transactions on Power Electronics 36, no. 7 (2020): 7480–88. https://doi.org/10.1109/tpel.2020.3045596.
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2020 | Conference Paper | LibreCat-ID: 29939
Unruh, Roland, Frank Schafmeister, and Joachim Böcker. “Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design.” In 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe). IEEE, 2020. https://doi.org/10.23919/epe20ecceeurope43536.2020.9215687.
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2020 | Preprint | LibreCat-ID: 21623
Bode, Henrik, Stefan Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.
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2020 | Journal Article | LibreCat-ID: 29642
Hanke, Sören, Oliver Wallscheid, and Joachim Böcker. “Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II).” ArXiv Preprint ArXiv:2003.06268, 2020.
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2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning.” ArXiv Preprint ArXiv:2001.06246, 2020.
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2020 | Preprint | LibreCat-ID: 32242
Bengs, Viktor, and Eyke Hüllermeier. “Multi-Armed Bandits with Censored Consumption of Resources.” ArXiv:2011.00813, 2020.
LibreCat | arXiv
 

2020 | Journal Article | LibreCat-ID: 21112
Mirhosseini, S. Hossein, Ramya Kormath Madam Raghupathy, Sudhir K. Sahoo, Hendrik Wiebeler, Manjusha Chugh, and Thomas Kühne. “In Silico Investigation of Cu(In,Ga)Se2-Based Solar Cells.” Phys. Chem. Chem. Phys. 22 (2020): 26682–701. https://doi.org/10.1039/D0CP04712K.
LibreCat | DOI
 

2020 | Working Paper | LibreCat-ID: 34636
Mehring, Oliver, Jens Müller, Sönke Sievers, and Christian Sofilkanitsch. Does Learning About Low GAAP Reporting Quality Change Investors’ Perceptions of Aggressive Non-GAAP Reporting Choices? TRR, 2020.
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2020 | Conference Paper | LibreCat-ID: 29298 | OA
Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.” In Sammelband der 27. Fachtagung der BAG Berufliche Bildung, edited by Thomas Vollmer, Torben Karges, Tim Richter, Britta Schlömer, and Sören Schütt-Sayed, 55:176–94. Berufsbildung, Arbeit und Innovation. Bielefeld: wbv Media GmbH & Co. KG, 2020. https://doi.org/10.3278/6004722w.
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2020 | Journal Article | LibreCat-ID: 16507
Goller, Michael, Christian Harteis, David Gijbels, and Vincent Donche. “Engineering Students’ Learning during Internships: Exploring the Explanatory Power of the Job Demands‐control‐support Model.” Journal of Engineering Education 109, no. 2 (2020): 307–24. https://doi.org/10.1002/jee.20308.
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2020 | Book Chapter | LibreCat-ID: 29108
Gröschner, Alexander, Michael Goller, and Tina Haschner. “Lernen zu Unterrichten – Veränderungen in den Einstellungsmustern von Lehramtsstudierenden während des Praxissemesters im Zusammenhang mit mentorieller Lernbegleitung und Kompetenzeinschätzung.” In Praxissemester im Lehramtsstudium in Deutschland: Wirkungen auf Studierende, edited by I. Ulrich and A. Gröschner, 209–41. Springer VS, 2020. https://doi.org/10.1007/978-3-658-24209-1_7.
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