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  1. Voot Tangkaratt; Herke van Hoof; Simone Parisi; Gerhard Neumann; Jan Peters; Masashi Sugiyama

    Policy Search with High-Dimensional Context Variables

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on …

  2. Alexandros Paraschos; Rudolf Lioutikov; Jan Peters; Gerhard Neumann

    Probabilistic Prioritization of Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 2, No. 4, Pages 2294-2301, IEEE, 2017.

  3. Oliver Kroemer; Jan Peters

    A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 2, No. 2, Pages 1101-1108, IEEE, 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. Andreas Schoknecht; Tom Thaler; Peter Fettke; Andreas Oberweis; Ralf Laue

    Similarity of Business Process Models - A State-of-the-Art Analysis

    In: ACM Computing Surveys (CSUR), Vol. 50, No. 4, Pages 52:1-52:33, ACM New York, New York, NY, USA, 8/2017.

  7. Johannes Bayer (Hrsg.)

    IAPR

    IAPR International Workshop on Graphics Recognition (GREC-2017), located at 12th IAPR International Workshop on Graphics Recognition, Japan, 2017.

  8. Faysal Boughorbel; Pavel Potocek; Milos Hovorka; Libor Strakos; John Mitchels; Tomas Vystavel; Patrick Trampert; Ben Lich; Tim Dahmen

    High-Throughput Large Volume SEM Workflow using Sparse Scanning and In-painting Algorithms Inspired by Compressive Sensing

    In: Microscopy and Microanalysis, Vol. 23, No. S1, Pages 150-151, Cambridge University Press, 7/2017.

  9. Rafael Zequeira Jiménez; Laura Fernández Gallardo; Sebastian Möller

    Collecting Subjective Ratings of Voice Likability: Laboratory vs. Crowdsourcing

    In: Workshop on Hybrid Human-Machine Computing (HHMC 2017). Workshop on Hybrid Human-Machine Computing, Guildford, UK, Pages 1-2, 2017.

  10. Stefan Uhrig; Sebastian Arndt; Sebastian Möller; Jan-Niklas Voigt-Antons

    Perceptual references for independent dimensions of speech quality as measured by electroencephalography

    In: Quality and User Experience, Vol. 2, No. 1, Page 10, Springer Nature, Heidelberg, Germany, 9/2017.