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Publications

Displaying results 331 to 340 of 649.

  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. Kareem Mokhtar; Syed Saqib Bukhari; Andreas Dengel

    OCR Error Correction: State-of-the-art vs An NMT Based Approach

    In: DAS. IAPR International Workshop on Document Analysis Systems (DAS-2018), April 24-27, Vienna, Austria, IEEE, 2018.

  7. Cannannore Nidhi Narayana Kamath; Syed Saqib Bukhari; Andreas Dengel

    Comparative Study between Traditional Machine Learning and Deep Learning Approaches for Text Classification

    In: DocEng. ACM Symposium on Document Engineering (DocEng-2018), August 28-31, Halifax, Nova Scotia, Canada, ACM, 2018.

  8. Orkhan Amiraslanov; Hamraz Javaheri; Sizhen Bian; Paul Lukowicz

    Preparation for Future Learning: Augmented-Reality Enhanced Interactive Physics Labs

    In: Proceedings of the International Conference on Ubiquitous Computing. International Conference on Ubiquitous Computing (Ubicomp-2018), October 8-12, Singapore, Singapore, Pages 331-334, ISBN 978-1-4503-5966-5/18/10, ACM, 2018.

  9. Nijat Mehdiyev; Joerg Evermann; Peter Fettke

    A Novel Business Process Prediction Model Using a Deep Learning Method

    In: Springer Fachmedien Wiesbaden (Hrsg.). Business & Information Systems Engineering (BISE), Vol. 5/2018, Pages 1-15, Springer Fachmedien, Wiesbaden, 7/2018.

  10. Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Answering with Cases: A CBR Approach to Deep Learning

    In: Michael T. Cox; Peter Funk; Shahina Begum (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2018), July 9-12, Stockholm, Sweden, Springer, 12/2018.

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