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Publications

Displaying results 251 to 260 of 563.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Andreas Winter; Boris Brandherm; Michael Igel; Peter Schegner

    Klassische Stromnetzberechnung in Kombination mit künstlicher Intelligenz zur Analyse und Diagnose von Stromverteilnetzen

    In: VDE FNN / ETG Tutorial Schutz- und Leittechnik. VDE FNN / ETG Tutorial Schutz- und Leittechnik, VDE Verlag GmbH, 2/2022.

  7. Abdul Rafey Aftab; Michael von der Beeck; Steven Rohrhirsch; Benoit Diotte; Michael Feld

    Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects

    In: IEEE (Hrsg.). 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2021), 32th Intelligent Vehicles Symposium, located at IV21, July 11-17, Nagoya, Japan, Pages 1108-1115, ISBN 978-1-7281-5394-0, IEEE, 11/2021.

  8. Pierre Gutierrez; Maria Luschkova; Antoine Cordier; Mustafa Shukor; Mona Schappert; Tim Dahmen

    Synthetic training data generation for deep learning based quality inspection

    Quality Control by Artificial Vision 2021, 2021.

  9. Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl

    Continuous Training and Deployment of Deep Learning Models

    In: Datenbank-Spektrum (Spektrum), Vol. 21, No. 3, Pages 203-212, Springer, 2021.