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2352 Publications


2020 | Report | LibreCat-ID: 20712
Schubert, Philipp, Eric Bodden, and Ben Hermann. Accelerating Static Call-Graph, Points-to and Data-Flow Analysis Through Persisted Summaries, 2020.
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2020 | Conference Paper | LibreCat-ID: 20723
Ivanjko, Martin, and Gerson Meschut. “Einsatzgrenzenerweiterung Und Flexibilitätssteigerung von Einseitig Wirkenden Mechanischen Fügeverfahren Durch Prozessintegrierte Fügeteilerwärmung Für Den Stahlintensiven Leichtbau.” In 10. Fügetechnisches Gemeinschaftskolloquium, edited by FOSTA, EFB, DVS, 2020.
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2020 | Preprint | LibreCat-ID: 20748
Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020), n.d.
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2020 | Conference Paper | LibreCat-ID: 20750
Lienen, Christian, Marco Platzner, and Bernhard Rinner. “ReconROS: Flexible Hardware Acceleration for ROS2 Applications.” In Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.
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2020 | Conference Paper | LibreCat-ID: 20755
Feldmann, Michael, Kristian Hinnenthal, and Christian Scheideler. “Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs.” In Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.OPODIS.2020.31.
LibreCat | Files available | DOI | arXiv
 

2020 | Conference Paper | LibreCat-ID: 20812
Jean, Frederic, and Sofya Maslovskaya. “Injectivity of the Inverse Optimal Control Problem for Control-Affine Systems.” In 2019 IEEE 58th Conference on Decision and Control (CDC), 2020. https://doi.org/10.1109/cdc40024.2019.9028877.
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2020 | Bachelorsthesis | LibreCat-ID: 20820
Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.
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2020 | Mastersthesis | LibreCat-ID: 20821
Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.
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2020 | Journal Article | LibreCat-ID: 20834
Webb, Mary E, Andrew Fluck, Johannes Magenheim, Joyce Malyn-Smith, Juliet Waters, Michelle Deschênes , and Jason Zagami. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” Educational Technology Research and Development, 2020, 1–22. https://doi.org/10.1007/s11423-020-09858-2.
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2020 | Journal Article | LibreCat-ID: 20835
Magenheim, Johannes. “< Big Data> aus der Perspektive von Informatischer Bildung und Medienpädagogik.” MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 37 (2020): 139–63. https://doi.org/10.21240/mpaed/37/2020.07.08.X.
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