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Publikationen

Zeige Ergebnisse 31 bis 40 von 540
  1. Fabian Hadiji; Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    In: Machine Learning, Vol. 100, No. 2-3, Pages 477-507, Springer, 2015.

  2. Marion Neumann; Shan Huang; Daniel E. Marthaler; Kristian Kersting

    pyGPs: a Python library for Gaussian process regression and classification

    In: Journal of Machine Learning Research, Vol. 16, Pages 2611-2616, JMLR, 2015.

  3. Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein

    Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

    In: BMC Bioinformatics, Vol. 16, Pages 248:1-248:11, BioMed Central, 2015.

  4. Arun Chandrasekharan; Kenneth Schmitz; Ulrich Kühne; Rolf Drechsler

    Ensuring Safety and Reliability of IP-based System Design – A Container Approach

    In: IEEE International Symposium on Rapid System Protoyping (RSP). International Symposium on Rapid System Protoyping (RSP-2015), October 8-9, …

  5. Ecore Model Generation from SystemC/C++ Implementations

    In: Design Automation for Understanding Hardware Designs (DUHDe). Workshop on Design Automation for Understanding Hardware Designs (DUHDe-2015), 2nd, …

  6. Aljoscha Windhorst; Hoang M. Le; Daniel Große; Rolf Drechsler

    Towards Generating Test Suites with High Functional Coverage for Error Effect Simulation

    In: 1st International ESWEEK Workshop on Resiliency in Embedded Electronic Systems. International ESWEEK Workshop on Resiliency in Embedded Electronic …

  7. Robert Wille; Oliver Keszöcze; Rolf Drechsler

    Synthese- und Optimierungsverfahren für zukünftige Computerparadigmen

    ISBN 978-3-8440-3467-7, Shaker, 2015.

  8. Sabrina Blümling; Norbert Reithinger

    PLuTO - Portable Lern- und Wissensplattform zum Transfer episodischen Wissens in Organisationen

    In: Proceedings of DeLFI Workshops 2015 co-located with 13th e-Learning Conference of the German Computer Society (DeLFI 2015). DeLFI Workshops …

  9. Wonmin Byeon; Thomas Breuel; Federico Raue; Marcus Liwicki

    Scene Labeling with LSTM Recurrent Neural Networks

    In: International Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition …

  10. Federico Raue; Wonmin Byeon; Thomas Breuel; Marcus Liwicki

    Parallel sequence classification using recurrent neural networks and alignment

    In: International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2015), August …