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Jahr: 2019
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  1. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for …

  2. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and …

  3. Kayhan Dursun; Carsten Binnig; Ugur Çetintemel; Garret Swart; Weiwei Gong

    A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 12, Pages 2218-2229, Association for Computing Machinery (ACM), 2019.

  4. Lukas Berg; Tobias Ziegler; Carsten Binnig; Uwe Röhm

    ProgressiveDB - Progressive Data Analytics as a Middleware

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 12, Pages 1814-1817, Association for Computing Machinery (ACM), 2019.

  5. Muhammad El-Hindi; Carsten Binnig; Arvind Arasu; Donald Kossmann; Ravi Ramamurthy

    BlockchainDB - A Shared Database on Blockchains

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 11, Pages 1597-1609, Association for Computing Machinery (ACM), 2019.

  6. Sebastian Baumbach; Christoph Rubel; Sheraz Ahmed; Andreas Dengel

    Geospatial Customer, Competitor and Supplier Analysis for Site Selection of Supermarkets

    In: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis. International Conference on Geoinformatics and Data …

  7. Jens Krauth; Stefan Gerlach; Christian Marzahl; Jörn Voigt; Heinz Handels

    Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies

    In: Heinz Handels; Thomas M. Deserno; Andreas Maier; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff (Hrsg.). Bildverarbeitung für die …

  8. Sandra Schultz; Julia Krüger; Heinz Handels; Jan Ehrhardt

    Bayesian inference for uncertainty quantification in point-based deformable image registration

    In: Elsa D. Angelini; Bennett A. Landman (Hrsg.). Medical Imaging 2019: Image Processing. SPIE Medical Imaging, February 16-21, San Diego, California, …

  9. Julia Krüger; Jan Ehrhardt; Sandra Schultz; Heinz Handels

    A probabilistic approach for the registration of images with missing correspondences

    In: Elsa D. Angelini; Bennett A. Landman (Hrsg.). Medical Imaging 2019: Image Processing. SPIE Medical Imaging, February 16-21, San Diego, California, …

  10. Timo Kepp; Jan Ehrhardt; Mattias P. Heinrich; Gereon Hüttmann; Heinz Handels

    Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks

    In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE International Symposium on Biomedical Imaging (ISBI-2019), April …

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