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Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 31 to 40 of 77.
  1. 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), …

  2. 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, …

  3. 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, …

  4. 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.

  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. 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 …

  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, …

  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.