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Jahr: 2020
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  1. Florian Mohr; Pascal Rübel; Martin Ruskowski

    A holistic approach for value-added interaction modelling in flexible manufacturing systems

    In: Procedia Manufacturing, Vol. 51, Pages 1245-1250, ELSEVIER, 2020.

  2. Mirko Lenz; Premtim Sahitaj; Sean Kallenberg; Christopher Coors; Lorik Dumani; Ralf Schenkel; Ralph Bergmann

    Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs

    In: Computational Models of Argument. International Conference on Computational Models of Argument (COMMA-2020), September 4-11, Virtual Event, Pages 263-270, Frontiers in Artificial Intelligence and Applications, Vol. 326, ISBN 978-1-64368-106-1 (print) | 978-1-64368-107-8 (online), IOS Press, 2020.

  3. Frederik Wiehr; Andreas Höh; Antonio Krüger

    Towards A Wearable for Deep Water Blackout Prevention

    In: Proceedings of the Augmented Humans International Conference. Augmented Humans International Conference (AHs-2020), March 16-17, Kaiserslautern, Germany, AHs '20, ISBN 9781450376037, Association for Computing Machinery, 2020.

  4. Payam Habiby; Sebastian Huhn; Rolf Drechsler

    Power-aware Test Scheduling for IEEE 1687 Networks with Multiple Power Domains

    In: 33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2020. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT-2020), ISBN 978-1-7281-9457-8, IEEE, 2020.

  5. Fabian Maas genannt Bermpohl; Andreas Bresser

    Towards Autonomous Intralogistics: A Testbed Environment for the Coordination of a Robotic Fleet

    In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)---Workshop on Planning and Robotics (PlanRob). International Conference on Automated Planning and Scheduling (ICAPS-2020), October 20, Online, ICAPS, 10/2020.

  6. Andrea Galassi; Kristian Kersting; Marco Lippi; Xiaoting Shao; Paolo Torroni

    Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

    In: Frontiers in Big Data, Vol. 2 - 2019, Pages 0-10, Frontiers, 1/2020.

  7. Kristian Kersting; Miryung Kim; Guy Van den Broeck; Thomas Zimmermann

    SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)

    In: Dagstuhl Reports, Vol. 10, No. 2, Pages 76-87, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2020.

  8. Johannes Czech; Patrick Korus; Kristian Kersting

    Monte-Carlo Graph Search for AlphaZero

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.11045, Pages 0-10, arXiv, 2020.

  9. Christopher Morris; Nils M. Kriege; Franka Bause; Kristian Kersting; Petra Mutzel; Marion Neumann

    TUDataset: A collection of benchmark datasets for learning with graphs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2007.08663, Pages 0-10, arXiv, 2020.

  10. Srijita Das; Sriraam Natarajan; Kaushik Roy; Ronald Parr; Kristian Kersting

    Fitted Q-Learning for Relational Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05595, Pages 0-10, arXiv, 2020.

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