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Publications

Displaying results 1 to 10 of 12.
  1. Daniel Tanneberg; Alexandros Paraschos; Jan Peters; Elmar Rueckert

    Deep spiking networks for model-based planning in humanoids

    In: 16th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2016), November 15-17, Cancun, Mexico, Pages 656-661, IEEE, 2016.

  2. Gaze-guided Object Classification Using Deep Neural Networks for Attention-based Computing

    In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-16), September 12-16, Heidelberg, Germany, Pages 253-256, ISBN 978-1-4503-4462-3, ACM, 9/2016.

  3. Deeper Machine Translation and Evaluation for German

    In: Jan Hajic; Gertjan van Noord; António Branco (Hrsg.). Proceedings of the 2nd Deep Machine Translation Workshop. Deep Machine Translation Workshop (DMTW), October 21, Lisbon, Portugal, Pages 29-38, ISBN 978-80-88132-02-8, Charles University, Prague, 10/2016.

  4. Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke

    A Deep Learning Approach for Predicting Process Behaviour at Runtime

    In: Marlon Dumas; Marcelo Fantinato (Hrsg.). Proceedings of the 1st International Workshop on Runtime Analysis of Process-Aware Information Systems. International Workshop on Runtime Analysis of Process-Aware Information Systems (PRAISE-2016), located at International Conference on Business Process Management, September 18-22, Rio de Janeiro, Brazil, Springer, 2016.

  5. Sharam Dadashnia; Tim Niesen; Philip Hake; Peter Fettke; Nijat Mehdiyev; Joerg Evermann

    Identification of Distinct Usage Patterns and Prediction of Customer Behavior

    In: Sixth International Business Process Intelligence Challenge (BPIC’16). Business Process Intelligence Challenge (BPIC-2016), located at BPI / BPM 2016, September 19, Rio de Janeiro, Brazil, Springer, 2016.

  6. Li Ling Tan; Jon Dehdari; Josef van Genabith

    Faster and lighter phrase-based machine translation baseline

    In: The Third Workshop on Asian Translation (WAT2016). Workshop on Asian Translation (WAT-2016), December 12, Osaka, Japan, Pages 184-193, ISBN 978-4-87974-714-3, Association for Computational Linguistics, 12/2016.

  7. Carlos Sánchez-Sánchez; Dario Izzo; Daniel Hennes

    Learning the optimal state-feedback using deep networks

    In: Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence. IEEE Symposium Series on Computational Intelligence (SSCI-2016), December 6-9, Athen, Greece, IEEE, 12/2016.

  8. Answering Non-Factoid questions of Online Users using Text-based End-to-end Trainable models

    In: The Twenty-Fifth Text REtrieval Conference (TREC 2016) Notebook. Text Retrieval Conference (TREC-16), November 15-18, Gaithersburg, Maryland, USA, Trec, 11/2016.

  9. Learning to Fuse: A Deep Learning Approach to Visual-Inertial Camera Pose Estimation

    In: Proceedings of IEEE International Symposium on Mixed and Augmented Reality |. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2016), September 19-23, Merida, Mexico, IEEE, 9/2016.