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Publications

Displaying results 571 to 580 of 682.

  1. Babu Ajish; 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; Carsten Harms; Martin Ruskowski

    Enabling reliable Visual Quality Control in Smart Factories through TSN

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). Procedia CIRP, Vol. 88 - 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 17-19 July 2019, Gulf of Naples, Italy, Pages 549-553, Elsevier B.V. 2020.

  3. 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.

  4. 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.

  5. Khurram Azeem Hashmi; Rakshith Bymana Ponnappa; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information

    In: International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition Workshops (ICDARW), September 22-25, Sydney, NSW, Australia, ISBN 978-1-7281-5054-3, IEEE, 9/2019.

  6. 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.

  7. 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.

  8. 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.

  9. Noshaba Cheema

    In Silico User Testing for Mid-Air Interactions with Deep Reinforcement Learning

    Mastersthesis, Saarland University, 9/2019.

  10. Simon Jungbluth; Nigora Gafur; Jens Popper; Vassilios Yfantis; Martin Ruskowski

    Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations

    In: IFAC-PapersOnLine, Vol. 55, No. 2, Pages 156-162, Elsevier, 2022.

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