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Publications

Displaying results 311 to 320 of 661.

  1. Sungho Suh; Paul Lukowicz; Yong Oh Lee

    Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks

    In: Knowledge-Based Systems (KBS), Vol. 237, Page 107866, Elsevier, 2/2022.

  2. Marcel Köster; Julian Groß; Antonio Krüger

    MACSQ: Massively Accelerated DeepQ Learning on GPUs using on-the-fly State Construction

    In: Parallel and Distributed Computing, Applications and Technologies. International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT-2021), 22nd, December 17-19, Guangzhou, China, Springer, 2022.

  3. Adriano Lucieri; Muhammad Naseer Bajwa; Stephan Alexander Braun; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

    In: Filippo Molinari; Moi Hoon Yap (Hrsg.). Computer Methods and Programs in Biomedicine (CMPB), Vol. 1, Pages 1-12, Elsevier, Amsterdam, 2022.

  4. Nima Omidsajedi; Rekha Reddy; Jianming Yi; Jan Herbst; Christoph Lipps; Hans Dieter Schotten

    Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)

    In: VDE/ITG Fachtagung Mobilkommunikation. VDE/ITG Fachtagung Mobilkommunikation (MKT-2021), November 3-5, Osnabrück, Germany, ISBN 978-3-8007-5674-2, ITG, 11/2021.

  5. Rui Xu; Noshaba Cheema; Erik Herrmann; Perttu Hämäläinen; Philipp Slusallek

    Towards Fatigue Modeling for Locomotion Tasks

    In: Motion, Interaction and Games - Posters. ACM SIGGRAPH Conference on Motion in Games (MIG-2021), ACM, 2021.

  6. Noshaba Cheema; Laura A. Frey-Law; Kourosh Naderi; Jaakko Lehtinen; Philipp Slusallek; Perttu Hämäläinen

    Modeling the "Gorilla Arm" Effect with Reinforcement Learning

    In: Motion, Interaction and Games - Posters. ACM SIGGRAPH Conference on Motion in Games (MIG-2021), ACM, 2021.

  7. 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 8-11, Venice, Italy, Pages 1437-1440, IEEE, 2019.

  8. Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Gereon Hüttmann; Nunciada Salma; Dieter Manstein; Mattias P. Heinrich; Heinz Handels

    Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks

    In: Christoph Hitzenberger (Hrsg.). Biomedical Optics Express, Vol. 10, No. 7, Pages 3484-3496, OSA, 7/2019.

  9. Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P Heinrich; Heinz Handels

    Segmentation of retinal low-cost optical coherence tomography images using deep learning

    In: Horst K. Hahn; Maciej A. Mazurowski (Hrsg.). Medical Imaging 2020: Computer-Aided Diagnosis. SPIE Medical Imaging, located at SPIE medical Imaging, February 15-20, Houston, Texas, USA, Vol. 11314, ISBN 978151063395, SPIE, 2020.

  10. Khurram Azeem Hashmi; Jwalin Bhatt; Muhammad Zeshan Afzal; Didier Stricker

    A Survey of Graphical Page Object Detection with Deep Neural Networks

    In: Applied Sciences, Vol. 11, No. 12, Pages 1-21, MDPI, Basel, Switzerland, 6/2021.

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