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  1. Holm, Dimitrij-Marian [Author]; Junge, Philipp [Author]; Rutinowski, Jérôme [Author]; Fottner, Johannes [Author]; Herberger, David [Author]; Hübner, Marco [Author]

    Investigation of Deep Learning Datasets for Intralogistics - [published Version]

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    Hannover : publish-Ing., 2023

    Published in: Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 2 ; https://doi.org/10.15488/15326

  2. Schleusner, Jens [Author]; Neu, Lothar [Author]; Behmann, Nicolai [Author]; Blume, Holger [Author]

    Deep Learning Based Classification of Pedestrian Vulnerability Trained on Synthetic Datasets - [accepted Version]

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    Piscataway, NJ : IEEE, 2019

    Published in: Proceedings of the 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berin)

  4. Alonso, Andrés [Author]; Carbó, José Manuel [Author]

    Accuracy of explanations of machine learning models for credit decisions

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    Madrid: Banco de España, 2022

    Published in: Banco de España: Documentos de trabajo ; 2022,22

  5. Holstein, Lennart [Author]; Schlaefer, Alexander [Author] ; Technische Universität Hamburg, Technische Universität Hamburg Institut für Medizintechnische Systeme

    SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

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    2020

    Published in: International journal of computer assisted radiology and surgery ; 15(2020), 9, Seite 1427-1436

  6. Maack, Lennart [Author]; Holstein, Lennart [Author]; Schlaefer, Alexander [Author] ; Technische Universität Hamburg, Technische Universität Hamburg Institut für Medizintechnische und Intelligente Systeme

    GANs for generation of synthetic ultrasound images from small datasets

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    2022

    Published in: Current directions in biomedical engineering ; 8(2022), 1, Seite 17-20

  8. Zacharias, Ajit [Author]; Masterson, Thomas [Author]; Rios-Avila, Fernando [Author]

    The sources and methods used in the creation of the Levy Institute Measure of Economic Well-Being for the United States, 1959-2013

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    Annandale-on-Hudson, NY: Levy Economics Institute of Bard College, 2018

  11. Hummel, Georg [Author] ; Stütz, Peter [Degree supervisor]; Remagnino, Paolo [Other] Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrttechnik

    On synthetic datasets for development of computer vision algorithms in airborne reconnaissance applications

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    Neubiberg: Universitätsbibliothek der Universität der Bundeswehr München, 2017

  12. Ghosh, Binayak [Author]; Garg, Shagun [Author]; Motagh, Mahdi [Author]; Martinis, Sandro [Author]

    Automatic Flood Detection from Sentinel-1 Data Using a Nested UNet Model and a NASA Benchmark Dataset - [published Version]

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    [Cham] : Springer International Publishing, 2024

    Published in: Journal of Photogrammetry, Remote Sensing and Geoinformation Science (PFG) 92 (2024), Nr. 1 ; Journal of Photogrammetry, Remote Sensing and Geoinformation Science (PFG)

  15. Manco, Giuseppe [Author]; Ritacco, Ettore [Author]; Rullo, Antonino [Author]; Saccà, Domenico [Author]; Serra, Edoardo [Author]

    Generating Synthetic Discrete Datasets with Machine Learning

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    2022

    Published in: Italian Symposium on Advanced Database Systems (30. : 2022 : Tirrenia): SEBD 2022: Italian Symposium on Advanced Database Systems ; (2022), Seite 341-350

  20. Wachter, Paul [Author]; Kruse, Niklas [Author]; Schöning, Julius [Author]

    Synthetic fields, real gains : enhancing smart sgriculture through hybrid datasets

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    Bonn : Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, 2024