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Publications

Displaying results 331 to 340 of 666.

  1. Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Dynamic process workflow routing using Deep Learning

    In: Artificial Intelligence XXXV. SGAI International Conference on Artificial Intelligence (AI-2018), December 11-13, Cambridge, United Kingdom, Springer, 2018.

  2. Orkhan Amiraslanov; Hamraz Javaheri; Sizhen Bian; Paul Lukowicz

    Preparation for Future Learning: Augmented-Reality Enhanced Interactive Physics Labs

    In: Proceedings of the International Conference on Ubiquitous Computing. International Conference on Ubiquitous Computing (Ubicomp-2018), October 8-12, Singapore, Singapore, Pages 331-334, ISBN 978-1-4503-5966-5/18/10, ACM, 2018.

  3. Patrik Feth; Mohammed Naveed Akram; René Schuster; Oliver Wasenmüller

    Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning

    In: Proceedings of the 1st International Workshop on Artificial Intelligence Safety Engineering 2018 |. International Workshop on Artificial Intelligence Safety Engineering (WAISE-2018), located at SAFECOMP 2018, September 18, Västerås, Sweden, Springer, 2018.

  4. Jan Zacharias; Michael Barz; Daniel Sonntag

    A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04818, Pages 1-10, arXiv.org, 3/2018.

  5. Jason Raphael Rambach; Chengbiao Deng; Alain Pagani; Didier Stricker

    Learning 6DoF Object Poses from Synthetic Single Channel Images

    In: Proceedings of the 17th IEEE ISMAR |. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2018), 17th, October 16-20, München, Germany, IEEE, 2018.

  6. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Kiran Varanasi; Kiarash Tamaddon; Alexis Heloir; Didier Stricker

    DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

    In: Proceeding of International Conference on 3DVision |. International Conference on 3D Vision (3DVision-2018), September 5-8, Verona, Italy, IEEE Xplore, 10/2018.

  7. Jyothish K. James; Georg Puhlfürst; Vladislav Golyanik; Didier Stricker

    Classification of LIDAR Sensor Contaminations with Deep Neural Networks

    In: Proceedings of Computer Science in Cars Symposium (CSCS) 2018 |. ACM Chapters Computer Science in Cars Symposium (CSCS-2018), ACM, 9/2018.

  8. Nijat Mehdiyev; Joerg Evermann; Peter Fettke

    A Novel Business Process Prediction Model Using a Deep Learning Method

    In: Springer Fachmedien Wiesbaden (Hrsg.). Business & Information Systems Engineering (BISE), Vol. 5/2018, Pages 1-15, Springer Fachmedien, Wiesbaden, 7/2018.

  9. Shoaib Ahmed Siddiqui; Dominique Mercier; Mohsin Munir; Andreas Dengel; Sheraz Ahmed

    TSViz: Demystification of Deep Learning Models for Time-Series Analysis

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1802.02952, Pages 1-13, ArXiv, 2018.

  10. Lukas Ruff; Robert Vandermeulen; Nico Goernitz; Lucas Deecke; Shoaib Ahmed Siddiqui; Alexander Binder; Emmanuel Müller; Marius Kloft

    Deep One-Class Classification

    In: International Conference on Machine Learning (ICML-2018). International Conference on Machine Learning (ICML-2018), Proceedings of Machine Learning Research, 2018.

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