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Publications

 

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Displaying results 31 to 40 of 507.
  1. Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters

    Learning movement primitive libraries through probabilistic segmentation

    In: International Journal of Robotics Research (IJRR), Vol. 36, No. 8, Pages 879-894, Sage Publications, 2017.

  2. Oriane Dermy; Alexandros Paraschos; Marco Ewerton; Jan Peters; François Charpillet; Serena Ivaldi

    Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives

    In: Frontiers in Robotics and AI, Vol. 4, Pages 0-10, Frontiers, 2017.

  3. Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Oliver Kroemer; Jan Peters

    Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks

    In: Autonomous Robots, Vol. 41, No. 3, Pages 593-612, Springer, 2017.

  4. Fraser Bowen; Jon Dehdari; Josef van Genabith

    The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction

    In: The Third Workshop on Noisy User-generated Text (W-NUT 2017) - Proceedings of the Workshop. Workshop on Noisy User-generated Text (NUT-2017), …

  5. Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

    Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

    In: . (Hrsg.). Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.

  6. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

  7. Olga Zlatkin-Troitschanskaia; Gabriel Wittum; Andreas Dengel (Hrsg.)

    Positive Learning in the Age of Information (PLATO) - A blessing or a curse?

    ISBN 978-3-658-19566-3, Springer VS, Wiesbaden, 12/2017.

  8. The An Binh Nguyen; Pratyush Agnihotri; Christian Meurisch; Manisha Luthra; Rahul Dwarakanath; Jeremias Blendin; Doreen Böhnstedt; Michael Zink; Ralf Steinmetz

    Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast

    In: 2017 IEEE 42nd Conference on Local Computer Networks (LCN). IEEE Conference on Local Computer Networks (LCN-2017), 42nd Conference on Local …

  9. Zheguang Zhao; Emanuel Zgraggen; Lorenzo De Stefani; Carsten Binnig; Eli Upfal; Tim Kraska

    Safe Visual Data Exploration

    In: Semih Salihoglu; Wenchao Zhou; Rada Chirkova; Jun Yang; Dan Suciu (Hrsg.). Proceedings of the 2017 ACM International Conference on Management of …