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Publications

Displaying results 341 to 350 of 682.
  1. Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

    In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021), March 29 - April 1, Nanjing, China, IEEE, 2021.

  2. A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

    In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

  3. Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

    In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

  4. Ellák Somfai; Benjámin Baffy; Kristian Fenech; Changlu Guo; Rita Hosszú; Dorina Korózs; Fabrizio Nunnari; Marcell Pólik; Daniel Sonntag; Attila Ulbert; András Lorincz

    Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2102.09199, Pages 1-14, arXiv, 2021.

  5. PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, Virtual, Vol. abs/2102.05917, Arxiv, 2021.

  6. Dominic Neu; Johannes Lahann; Peter Fettke

    A systematic literature review on state-of-the-art deep learning methods for process prediction

    In: Artificial Intelligence Review, Vol. Online, Springer Nature, 3/2021.

  7. Saadullah Amin; Günter Neumann

    T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition

    In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2021), System Demonstrations, April 19-23, Kyiv/Virtual, Ukraine, Pages 212-220, Association for Computational Linguistics (ACL), 4/2021.

  8. Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

    From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

    In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

  9. Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

    In: CAADRIA 2021 Proceedings. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2021), March 29 - April 1, Hong Kong/Virtual, Hong Kong, Cumincad, 2021.

  10. Hristina Uzunova; Paul Kaftan; Matthias Wilms; Nils D. Forkert; Heinz Handels; Jan Ehrhardt

    Quantitative Comparison of Generative Shape Models for Medical Images

    In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Hrsg.). Bildverarbeitung für die Medizin 2020. Workshop Bildverarbeitung für die Medizin (BVM-2020), March 15-17, Berlin, Germany, Pages 201-207, ISBN 978-3-658-29267-6, Springer Fachmedien Wiesbaden, 2020.