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Publikationen

Zeige Ergebnisse 31 bis 40 von 571.
  1. Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig

    DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.06182, Pages 0-10, arXiv, 2019.

  2. 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.

  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. 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.

  6. Onur Celik; Hany Abdulsamad; Jan Peters

    Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics

    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 6828-6833, IEEE, 2019.

  7. Zinan Liu; Arne Hitzmann; Shuhei Ikemoto; Svenja Stark; Jan Peters; Koh Hosoda

    Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm(^mbox*)

    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 6594-6601, IEEE, 2019.

  8. Marco Ewerton; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters

    Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning

    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 4294-4300, IEEE, 2019.

  9. Julen Urain; Jan Peters

    Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories

    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 1363-1369, IEEE, 2019.

  10. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1911.00926, Pages 0-10, arXiv, 2019.