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Publications

Displaying results 311 to 320 of 662.

  1. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

    Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.

  2. Kumail Raza; René Schuster; Didier Stricker

    Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

    In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021), November 30, Ingolstadt, Germany, ACM, 2021.

  3. Hendrik Wöhrle; Mariela De Lucas Alvarez; Fabian Schlenke; Alexander Walsemann; Michael Karagounis; Frank Kirchner (Hrsg.)

    Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators

    IEEE International Midwest Symposium on Circuits and Systems (MWSCAS-2021), August 9-11, USA, IEEE, 8/2021.

  4. 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: Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.

  5. Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel

    What do Deep Networks Like to See?

    In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2018), located at CVPR, June 18-22, Salt Lake City, Utah, USA, IEEE, 2018.

  6. Dagmar Gromann; Thierry Declerck; Georg Heigold (Hrsg.)

    Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep - 2)

    Workshop on Semantic Deep Learning (SemDeep-2017), located at 12th International Conference on Computational Semantics (IWCS 2017), September 19, Montpellier, France, ACL, 9/2017.

  7. Shoya Ishimaru; Kensuke Hoshika; Kai Kunze; Koichi Kise; Andreas Dengel

    Towards Reading Trackers in the Wild: Detecting Reading Activities by EOG Glasses and Deep Neural Networks

    In: the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2017), the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 11-15, Maui, Hawaii, USA, Pages 704-111, ISBN 978-1-4503-5190-4, ACM, 9/2017.

  8. Luis Espinosa Anke; Thierry Declerck; Dagmar Gromann (Hrsg.)

    The Third Workshop on Semantic Deep Learning (SemDeep-3)

    Workshop on Semantic Deep Learning (SemDeep-2018), located at The 27th International Conference on Computational Linguistics (COLING 2018), August 20, Santa Fe, New Mexico, USA, ISBN 978-1-948087-56-8, The COLING 2018 Organizing Committee, 8/2018.

  9. Akansha Bhardwaj; Dominik Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

  10. Muhammad Zeshan Afzal; Andreas Kölsch; Sheraz Ahmed; Marcus Liwicki

    Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

    In: ICADR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

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