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Jahr: 2019
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  1. Shoya Ishimaru; Takanori Maruichi; Manuel Landsmann; Koichi Kise; Andreas Dengel

    Electrooculography Dataset for Reading Detection in the Wild

    In: UbiComp 2019. ACM International Symposium on Wearable Computers (ISWC), London, United Kingdom, Pages 85-88, ISBN 978-1-4503-6869-8, Association …

  2. Menbere Kina Tekleyohannes; Vladimir Rybalkin; Muhammad Mohsin Ghaffar; Norbert Wehn; Andreas Dengel

    iDocChip - A Configurable Hardware Architecture for Historical Document Image Processing: Text Line Extraction

    In: 2019 International Conference on ReConFigurable Computing and FPGAs (ReConFig). International Conference on Reconfigurable Computing and FPGAs …

  3. Kumar Shridhar; Joonho Lee; Hideaki Hayashi; Purvanshi Mehta; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida; Sheraz Ahmed; Andreas Dengel

    ProbAct: A Probabilistic Activation Functionfor Deep Neural Networks

    In: OPT2020: 12th Annual Workshop on Optimization for Machine Learning. Workshop on Optimization for Machine Learning (OPT-2020), located at …

  4. Andreas Dengel

    Some Shades of Grey!: Interpretability and Explainability of Deep Neural Networks

    In: Proceedings WCRML19. ACM Workshop on Crossmodal Learning and Application, Ottawa, Canada, ISBN 978-1-4503-6780-6, Association for Computing …

  5. Michael Barz; Daniel Sonntag

    Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.10149, Pages 1-13, arXiv, 8/2019.

  6. Shivesh Kumar

    Modular and Analytical Methods for Solving Kinematics and Dynamics of Series-Parallel Hybrid Robots

    PhD-Thesis, Universität Bremen: Informatik/Mathematik, 11/2019.

  7. Leif Christensen

    Robot Navigation in Distorted Magnetic Fields

    PhD-Thesis, Universität Bremen, ISBN urn:nbn:de:gbv:46-00107804-10, 11/2019.

  8. Gavin D. Portwood; Peetak P. Mitra; Mateus Dias Ribeiro; Tan Minh Nguyen; Balasubramanya T. Nadiga; Juan A. Saenz; Michael Chertkov; Animesh Garg; Anima Anandkumar; Andreas Dengel; Richard Baraniuk; David P. Schmidt

    Turbulence forecasting via Neural ODE

    In: Second Workshop on Machine Learning and the Physical Sciences. Machine Learning and the Physical Sciences Workshop (ML4PS-2019), located at …

  9. Daniel Sonntag

    Medical and Health Systems

    In: Sharon Oviatt; Björn W Schuller; Philip R Cohen; Daniel Sonntag; Gerasimos Potamianos; Antonio Krüger. The Handbook of Multimodal-Multisensor …

  10. Václav Jirkovský; Ondřej Šebek; Petr Kadera; Pavel Burget; Sönke Knoch; Tilman Becker

    Facilitation of Domain-Specific Data Models Design using Semantic Web Technologies for Manufacturing

    In: Maria Indrawan-Santiago; Eric Pardede; Ivan Luiz Salvadori; Matthias Steinbauer; Ismail Khalil; Gabriele Anderst-Kotsis (Hrsg.). Proceedings of …

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