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Jahr: 2020
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  1. Manisha Luthra; Sebastian Hennig; Kamran Razavi; Lin Wang; Boris Koldehofe

    Operator as a Service: Stateful Serverless Complex Event Processing

    In: 2020 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data (IEEE BigData-2020), IEEE International Conference on Big Data, Pages 1964-1973, IEEE, 2020.

  2. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  3. Ralph Bergmann; Manuel Biertz; Lorik Dumani; Mirko Lenz; Anna-Katharina Ludwig; Patrick J. Neumann; Stefan Ollinger; Premtim Sahitaj; Ralf Schenkel; Alex Witry

    The ReCAP Project

    In: Datenbank-Spektrum (Spektrum), Vol. 20, Pages 93-98, Springer, 2020.

  4. 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.

  5. 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.

  6. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Privacy-Preserving Sum-Product Network Inference

    In: Giuseppe De Giacomo; Alejandro Catalá; Bistra Dilkina; Michela Milano; Senén Barro; Alberto Bugarín; Jérôme Lang (Hrsg.). 24th European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-2020), August 29 - September 8, Santiago de Compostela, Spain, Pages 1946-1953, Frontiers in Artificial Intelligence and Applications, Vol. 325, IOS Press, 2020.

  7. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Expanding PPML beyond Neural Networks

    In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

  8. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Making deep neural networks right for the right scientific reasons by interacting with their explanations

    In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

  9. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    The Moral Choice Machine

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

  10. Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz

    Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

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