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Publications

Displaying results 21 to 25 of 25.
  1. Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke

    XES Tensorflow – Process Prediction using the Tensorflow Deep-Learning Framework

    In: X. Franch; J. Ralyté; R. Matulevičius; C. Salinesi; R. Wieringa (Hrsg.). CAiSE 2017 Forum and Doctoral Consortium Papers. Forum at the CAiSE …

  2. Mario Michael Krell; Su-Kyoung Kim

    Rotational Data Augmentation for Electroencephalographic Data

    In: Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the …

  3. Bingbin Yu; José de Gea Fernández; Yohannes Kassahun; Vinzenz Bargsten

    Learning the Elasticity of a Series-Elastic Actuator for Accurate Torque Control

    In: Salem Benferhat; Karim Tabia; Moonis Ali (Hrsg.). Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on …

  4. Simone Parisi; Simon Ramstedt; Jan Peters

    Goal-driven dimensionality reduction for reinforcement learning

    In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  5. Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

    State-Regularized Policy Search for Linearized Dynamical Systems

    In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning …