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Zeige Ergebnisse 11 bis 20 von 69
  1. Erfan Zamanian; Carsten Binnig; Tim Kraska; Tim Harris

    The End of a Myth: Distributed Transaction Can Scale

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 6, Pages 685-696, Association for Computing Machinery (ACM), 2017.

  2. Abdallah Salama; Carsten Binnig; Tim Kraska; Ansgar Scherp; Tobias Ziegler

    Rethinking Distributed Query Execution on High-Speed Networks

    In: IEEE Data Engineering Bulletin, Vol. 40, No. 1, Pages 27-37, IEEE, 2017.

  3. Alejandro Molina; Alexander Munteanu; Kristian Kersting

    Coresets for Dependency Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03285, Pages 0-10, arXiv, 2017.

  4. Christopher Morris; Kristian Kersting; Petra Mutzel

    Global Weisfeiler-Lehman Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.02379, Pages 0-10, arXiv, 2017.

  5. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.00676, Pages 0-10, arXiv, 2017.

  6. Zhao Xu; Romain Vial; Kristian Kersting

    Graph Enhanced Memory Networks for Sentiment Analysis

    In: Michelangelo Ceci; Jaakko Hollmén; Ljupco Todorovski; Celine Vens; Saso Dzeroski (Hrsg.). Machine Learning and Knowledge Discovery in Databases. …

  7. Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation

    In: Maxime Descoteaux; Lena Maier-Hein; Alfred Franz; Pierre Jannin; D. Louis Collins; Simon Duchesne (Hrsg.). Medical Image Computing and Computer …

  8. 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.

  9. 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.

  10. Jumyung Um; Matthieu Rauch; Jy Hascoet; Ian Stroud

    STEP-NC compliant process planning of additive manufacturing: Remanufacturing

    In: International Journal of Advanced Manufacturing Technology, Vol. 88, Pages 1215-1230, Springer, 2017.