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Year: 2021
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Displaying results 1 to 10 of 77.

  1. Ajish Babu; Frank Kirchner

    Terrain Adaption Controller for a Walking Excavator Robot using Deep Reinforcement Learning

    In: 2021 20th International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2021), December 7-10, Ljubljana, Slovenia, Pages 64-70, IEEE Xplore, ieeexplore.ieee.org/document/9659399, 12/2021.

  2. Jens Popper; Martin Ruskowski

    Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), Pages 63-67, Vol. 112, Special Issue 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 14-16 July 2019, Gulf of Naples, Italy, Elsevier B.V. 2021.

  3. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

    Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

    CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, Athens, Greece, ELSEVIER, 2021.

  4. 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.

  5. 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.

  6. Malte Ostendorff; Elliott Ash; Terry Ruas; Bela Gipp; Julian Moreno Schneider; Georg Rehm (Hrsg.)

    Evaluating Document Representations for Content-based Legal Literature Recommendations

    International Conference on Artificial Intelligence and Law (ICAIL-2021), ACM, 2021.

  7. Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R Jackson; Johan Tryggy; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images

    In: IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’21) JOINTLY ORGANISED WITH THE 17TH IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN’21). IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-2021), July 27-30, Athens, Europe, Greece, ISBN 978-1-6654-4770-6, IEEE, 8/2021.

  8. Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R Jackson; Johan Tryggy; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images

    In: 2021 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN-2021), July 18-20, Glasgow, United Kingdom, IJCNN, 2021.

  9. Christoffer Edlund; Timothy R. Jackson; Nabeel Khalid; Nicola Bevan; Timothy Dale; Andreas Dengel; Sheraz Ahmed; Johan Trygg; Rickard Sjögren

    LIVECell—A large-scale dataset for label-free live cell segmentation

    In: Nature Research, Vol. None, Pages 1-8, Nature Methods, 8/2021.

  10. Khurram Azeem Hashmi; Marcus Liwicki; Didier Stricker; Muhammad Adnan Afzal; Muhammad Ahtsham Afzal; Muhammad Zeshan Afzal

    Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

    In: IEEE Access, Vol. 9, Pages 87663-87685, IEEE, 6/2021.

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