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Year: 2021
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Displaying results 21 to 30 of 77.

  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, …

  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. Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

    In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1. Education …

  4. Hardik Arora; Jessica Bielski; Viktor Eisenstadt; Christoph Langenhan; Christoph Ziegler; Klaus-Dieter Althoff; Andreas Dengel

    Consistency Checker – An automatic constraint-based evaluator for housing spatial configurations

    In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2. Education …

  5. 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.

  6. Roberto V. Zicari; Sheraz Ahmed; Julia Amann; Stephan Alexander Braun; John Brodersen; Frédérick Bruneault; James Brusseau; Erik Campano; Megan Coffee; Andreas Dengel; Boris Düdder; Alessio Gallucci; Thomas Krendl Gilbert; Philippe Gottfrois; Emmanuel Goffi; Christoffer Bjerre Haase; Thilo Hagendorff; Eleanore Hickman; Elisabeth Hildt; Sune Holm; Pedro Kringen; Ulrich Kühne; Adriano Lucieri; Vince I. Madai; Pedro A. Moreno-Sánchez; Oriana Medlicott; Matiss Ozols; Eberhard Schnebel; Andy Spezzatti; Jesmin Jahan Tithi; Steven Umbrello; Dennis Vetter; Holger Volland; Magnus Westerlund; Renee Wurth

    Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

    In: Remo Pareschi (Hrsg.). Frontiers in Human Dynamics, Vol. 3, Pages 1-40, Frontiers Media S.A. Lausanne, 7/2021.

  7. Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis

    In: ArXiv e-prints (arxiv), Vol. 1, Pages 1-29, arXiv, 3/2021.

  8. Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel; Sheraz Ahmed

    Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

    In: IEEE Transactions on Industrial Informatics, Vol. 18, No. 11, Pages 7834-7842, IEEE, 11/2021.

  9. Vitor Fortes Rey; Kamalveer Kaur Garewal; Paul Lukowicz

    Translating Videos into Synthetic Training Data for Wearable Sensor-Based Activity Recognition Systems Using Residual Deep Convolutional Networks.

    In: Applied Sciences, Vol. 11, No. 7, Pages 1-31, MDPI, 2021.

  10. Sebastian Palacio; Philipp Engler; Jörn Hees; Andreas Dengel

    Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks

    In: 2020 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2020), Online, Pages …

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