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Jahr: 2019
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  1. Muhammad El-Hindi; Carsten Binnig; Arvind Arasu; Donald Kossmann; Ravi Ramamurthy

    BlockchainDB - A Shared Database on Blockchains

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 11, Pages 1597-1609, Association for Computing Machinery (ACM), 2019.

  2. Yassin Alkhalili; Manisha Luthra; Amr Rizk; Boris Koldehofe

    3-D Urban Objects Detection and Classification From Point Clouds

    In: Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2019), 13th ACM International Conference on Distributed and Event-Based Systems, Darmstadt, Germany, Pages 209-213, DEBS '19, ISBN 9781450367943, Association for Computing Machinery, 2019.

  3. Martin Pfannemüller; Janick Edinger; Markus Weckesser; Roland Kluge; Manisha Luthra; Robin Klose; Christian Becker; Andy Schürr

    Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems

    In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2019), 22nd International Conference on Pervasive Computing and Communications, Pages 335-337, IEEE, 3/2019.

  4. Martin Pfannemüller; Markus Weckesser; Roland Kluge; Janick Edinger; Manisha Luthra; Robin Klose; Christian Becker; Andy Schürr

    CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems

    In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2019), 22nd International Conference on Pervasive Computing and Communications, Pages 590-595, IEEE, 3/2019.

  5. Manisha Luthra; Boris Koldehofe; Ralf Steinmetz

    Transitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing

    In: Informatik Spektrum, Vol. 42, No. 4, Pages 244-255, Springer, 2019.

  6. Kristian Kersting; Jan Peters; Constantin A. Rothkopf

    Was ist eine Professur fuer Kuenstliche Intelligenz?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1903.09516, Pages 0-10, arXiv, 2019.

  7. Diego Agudelo-Espa~na; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters

    Bayesian Online Detection and Prediction of Change Points

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1902.04524, Pages 0-10, arXiv, 2019.

  8. Ozan Özdenizci; Timm Meyer; Felix A. Wichmann; Jan Peters; Bernhard Schölkopf; Müjdat Çetin; Moritz Grosse-Wentrup

    Neural Signatures of Motor Skill in the Resting Brain

    In: 2019 IEEE International Conference on Systems, Man and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics (SMC-2019), October 6-9, Bari, Italy, Pages 4387-4394, IEEE, 2019.

  9. Michael Lutter; Kim Listmann; Jan Peters

    Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 7718-7725, IEEE, 2019.

  10. Susanne Trick; Dorothea Koert; Jan Peters; Constantin A. Rothkopf

    Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 7009-7016, IEEE, 2019.

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