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Publications

 

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Displaying results 61 to 70 of 574.
  1. Georg Rehm; Karolina Zaczynska; Julián Moreno Schneider

    Semantic Storytelling: Towards Identifying Storylines in Large Amounts of Text Content

    In: Alípio Jorge; Ricardo Campos; Adam Jatowt; Sumit Bhatia (Hrsg.). Proceedings of Text2Story -- Second Workshop on Narrative Extraction From Texts …

  2. Nico Herbig; Patrick Schuck; Antonio Krüger

    User Acceptance of Cognition-Aware E-Learning: An Online Survey

    In: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia. International Conference on Mobile and Ubiquitous Multimedia …

  3. CriSGen: Constraint-based Generation of Critical Scenarios for Autonomous Vehicles

    In: Proceedings of International Workshop on Formal Methods for Autonomous Systems. International Workshop on Formal Methods for Autonomous Systems …

  4. Wie funktionieren neuronale Netze eigentlich?

    DFKI, DFKI Technical Memos (TM), Vol. 1, 9/2019.

  5. Rodrigo Suarez‑Ibarrola; Simon Hein; Gerd Reis; Christian Gratzke; Arkadiusz Miernik

    Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer

    In: World Journal of Urology (WJUR), Vol. 2018, Pages 1-19, Springer-Verlag GmbH Germany, part of Springer Nature 2019, 2019.

  6. Roboter der nächsten Generation - Forschung für neue Lebens- und Arbeitswelten

    In: Arbeitskreis Luft- und Raumfahrttechnik 2018. AIRBUS: Norddeutsche Luft- und Raumfahrt, Technik - Programme - Personen. Pages 163-175, ISBN …

  7. Ensuring Correctness of Next Generation Devices: From Reconfigurable to Self-Learning Systems

    In: 28th IEEE Asian Test Symposium. Asian Test Symposium (ATS-2019), December 10-13, Kolkata, India, 2019.

  8. Saman Fröhlich; Daniel Große; Rolf Drechsler

    Approximate Memory: Data Storage in the Context of Approximate Computing

    In: Cornelia Große; Rolf Drechsler. Information Storage. Pages 111-133, Springer, 2019.

  9. FANG: Fast and Efficient Successor-State Generation for Heuristic Optimization on GPUs

    In: International Conference on Algorithms and Architectures for Parallel Processing. International Conference on Algorithms and Architectures for …

  10. Parallel Tracking and Reconstruction of States in Heuristic Optimization Systems on GPUs

    In: Parallel and Distributed Computing, Applications and Technologies. International Conference on Parallel and Distributed Computing, Applications …