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Publications

Displaying results 351 to 360 of 668.
  1. Roberto V. Zicari; Sheraz Ahmed; Julia Amann; Stephan Alexander Braun; John Brodersen; Frédérick Bruneault; James Brusseau; Erik Campano; Megan Coffee; Andreas Dengel; Boris Düdder; Alessio Gallucci; Thomas Krendl Gilbert; Philippe Gottfrois; Emmanuel Goffi; Christoffer Bjerre Haase; Thilo Hagendorff; Eleanore Hickman; Elisabeth Hildt; Sune Holm; Pedro Kringen; Ulrich Kühne; Adriano Lucieri; Vince I. Madai; Pedro A. Moreno-Sánchez; Oriana Medlicott; Matiss Ozols; Eberhard Schnebel; Andy Spezzatti; Jesmin Jahan Tithi; Steven Umbrello; Dennis Vetter; Holger Volland; Magnus Westerlund; Renee Wurth

    Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

    In: Remo Pareschi (Hrsg.). Frontiers in Human Dynamics, Vol. 3, Pages 1-40, Frontiers Media S.A. Lausanne, 7/2021.

  2. Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

    In: IEEE Transactions on Industrial Informatics, Vol. 18, No. 11, Pages 7834-7842, IEEE, 11/2021.

  3. Angelo Ugenti; Fabio Vulpi; Raúl Domínguez; Florian Cordes; Annalisa Milella; Giulio Reina

    On the role of feature and signal selection for terrain learning in planetary exploration robots

    In: Journal of Field Robotics (JFR), No. n/a, 12/2021.

  4. 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.

  5. 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.

  6. 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.