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Publications

Displaying results 311 to 320 of 678.
  1. Joel Jang; yoonjeon Kim; Kyoungho Choi; Sungho Suh

    Sequential targeting: A continual learning approach for data imbalance in text classification

    In: Expert Systems with Applications (ESWA), Vol. 179, Page 115067, Elsevier, 10/2021.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Isaak Mitschke; Thomas Wiemann; Felix Igelbrink; Joachim Hertzberg

    Hyperspectral 3D Point Cloud Segmentation using RandLA-Net

    In: Proceedings of 17th INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (IAS-17). International Conference on Intelligent Autonomous Systems (IAS-2022), June 13-16, Zagreb, Croatia, IAS, 6/2022.

  7. PPML-TSA: A modular privacy-preserving time series classification framework

    In: Software Impacts (SIMPA), Vol. 1, Pages 1-10, Elsevier, 4/2022.

  8. 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.