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Jahr: 2019
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  1. Redy Andriyansah; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Using Balanced Training to Minimize Biased Classification

    In: HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing. International Workshop on Historical Document Imaging and Processing (HIP), Sydney, Australia, Pages 31-36, ISBN 978-1-4503-7668-6, Association for Computing Machinery, 9/2019.

  2. Eman Eman; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Cursive Script Textline Image Transformation for Improving OCR Accuracy

    In: 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). International Conference on Document Analysis and Recognition Workshops (ICDARW-2019), September 22-25, Sydney, Australia, Pages 59-64, Vol. 5, ISBN 978-1-7281-5055-0, IEEE, 9/2019.

  3. Mohammad Mohsin Reza; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Table Localization and Segmentation using GAN and CNN

    In: 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). International Conference on Document Analysis and Recognition Workshops (ICDARW-2019), September 22-25, Sydney, Australia, Pages 152-157, Vol. 5, ISBN 978-1-7281-5055-0, Association for Computing Machinery, 9/2019.

  4. 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 for Computing Machinery, 9/2019.

  5. 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    iDocChip - A Configurable Hardware Architecture for Historical Document Image Processing: Text Line Extraction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 (ReConFig-2019), December 9-11, Cancun, Mexico, ISBN 978-1-7281-1957-1, IEEE, 12/2019.

  6. 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 NeurIPS2020, December 11-12, Vancouver, Canada, ArXiv, 2019.

  7. Oliver Thomas; Melanie Sack; Johannes Langhein; Thomas Feld; Florian Remark; Jonas Rebstadt

    Audit Clouds - Analyse und Vergleich cloudbasierter Geschäftsmodelle in der Wirtschaftsprüfung

    In: Die Wirtschaftsprüfung (WPg), Vol. 18.2019, No. 72, Pages 964-975, IDW Verlag GmbH, Düsseldorf, 12/2019.

  8. Max Birtel; Alexander David; Jesko Hermann; Florian Mohr; Martin Ruskowski

    FutureFit: a strategy for getting a production asset to an industry 4.0 component – a human-centered approach

    In: Procedia Manufacturing, Vol. 38, Pages 1000-1007, ELSEVIER, 2019.

  9. Leif Christensen

    Robot Navigation in Distorted Magnetic Fields

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

  10. Nils Rethmeier; Barbara Plank

    MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding

    In: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019). Annual Meeting of the Association for Computational Linguistics (ACL-2019), The 57th Annual Meeting of the Association for Computational Linguistics (ACL), located at ACL, July 28 - August 2, Florence, Italy, Pages 49-54, Association for Computational Linguistics, 7/2019.

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