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  2. Wutke, Martin [Author] ; Schmitt [Degree supervisor]; Schmitt [Other]; Traulsen [Other]; Gültas [Other]

    Exploring the Potential of Deep Learning for Precision Livestock Farming of Pigs : Development of two Analysis Frameworks for Behavioral Monitoring

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    Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2023

  3. Megarajan, Pranav [Author] ; Hillenbrand, Ulrich [Degree supervisor]; Plöger, Paul G. [Degree supervisor]; Triebel, Rudolph [Degree supervisor] Bonn Aachen International Center für Information Technology, Deutsches Zentrum für Luft- und Raumfahrt, Hochschule Bonn-Rhein-Sieg Fachbereich Informatik

    Effective neighborhood feature exploitation in graph CNNs for point cloud object-part segmentation

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    Sankt Augustin: Hochschule Bonn-Rhein-Sieg, 2022

    Published in: Hochschule Bonn-Rhein-Sieg: Technical report ; 2022,1

  4. Martínez García, Javier [Author] ; Vossiek, Martin [Degree supervisor]; Waldschmidt, Christian [Other]; Huemer, Mario [Other]

    Classification of MIMO-FMCW radar images with convolutional neural networks in a parking monitoring application

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    Erlangen: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2020

  5. Pflieger, Keno [Author]; Evertz, Andreas [Author]; Overmeyer, Ludger [Author]

    Deep learning approach to predict optical attenuation in additively manufactured planar waveguides - [published Version]

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    Washington, DC : Optical Soc. of America, 2024

    Published in: Applied Optics 63 (2024), Nr. 1 ; Applied Optics

  6. Vemparala, Manoj-Rohit [Author]; Fasfous, Nael [Author]; Frickenstein, Alexander [Author]; Valpreda, Emanuele [Author]; Camalleri, Manfredi [Author]; Zhao, Qi [Author]; Unger, Christian [Author]; Nagaraja, Naveen-Shankar [Author]; Martina, Maurizio [Author]; Stechele, Walter [Author] ; Manoj-Rohit Vemparala and Nael Fasfous and Alexander Frickenstein and Emanuele Valpreda and Manfredi Camalleri and Qi Zhao and Christian Unger and Naveen-Shankar Nagaraja and Maurizio Martina and Walter Stechele [Contributor]

    HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology

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    Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022

  12. Gessert, Nils Thorben [Author]; Nielsen, Maximilian [Author]; Shaikh, Mohsin [Author]; Werner, René [Author]; Schlaefer, Alexander [Author] ; Technische Universität Hamburg, Technische Universität Hamburg Institut für Medizintechnische Systeme

    Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

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    2020

    Published in: MethodsX ; Vol. 7.2020, Article number 100864, insgesamt 8 Seiten

  14. Neugebohren, Lina [Author] ; Bräsen, Jan Hinrich [Degree supervisor] Institut für Pathologie

    Digitale Nephropathologie : automatisierte Tubuluserkennung und -klassifizierung mithilfe von Convolutional Neural Networks

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    Hannover: Bibliothek der Medizinischen Hochschule Hannover, 2023

  18. Müller, Eric [Author]; Springstein, Matthias [Author]; Ewerth, Ralph [Author]; Jose, Joemon M. [Author]; Hauff, Claudia [Author]; Altıngövde, Ismail Sengor [Author]; Song, Dawei [Author]; Albakour, Dyaa [Author]; Watt, Stuart [Author]; Tait, John [Author]

    “When Was This Picture Taken?” – Image Date Estimation in the Wild - [published Version]

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    Berlin; Heidelberg : Springer, 2017

    Published in: Advances in information retrieval : 39th European Conference on IR Research, ECIR 2017 ; Lecture Notes in Computer Science (LNCS) ; 1019

  20. Lehmann, Daniel [Author] ; Ebner, Marc [Degree supervisor]; Kirste, Thomas [Degree supervisor] Universität Greifswald

    Improving convolutional neural network-based image classification by exploiting network layer information

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    Greifswald, 13. Juli 2023