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Publications

Displaying results 1 to 10 of 25.
  1. 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.

  2. 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 …

  3. 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 …

  4. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

  5. Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

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

  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. DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2017), 24th …

  8. Christoph Zetzsche; Ruth Rosenholtz; Noshaba Cheema; Konrad Gadzicki; Lex Fridman; Kerstin Schill

    Neural Computation of Statistical Image Properties in Peripheral Vision

    In: Vision Science Society (Hrsg.). MODVIS. Computational and Mathematical Models in Vision (MODVIS-2017), located at Vision Sciences Society Annual …

  9. Dagmar Gromann; Thierry Declerck; Georg Heigold (Hrsg.)

    Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep - 2)

    Workshop on Semantic Deep Learning (SemDeep-2017), located at 12th International Conference on Computational Semantics (IWCS 2017), September 19, …

  10. Shoya Ishimaru; Kensuke Hoshika; Kai Kunze; Koichi Kise; Andreas Dengel

    Towards Reading Trackers in the Wild: Detecting Reading Activities by EOG Glasses and Deep Neural Networks

    In: the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous …