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Publications

Displaying results 311 to 320 of 661.

  1. Sebastian Palacio; Philipp Engler; Jörn Hees; Andreas Dengel

    Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks

    In: 2020 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2020), Online, Pages 8937-8944, Vol. 1, No. 1, IEEE, 5/2021.

  2. Junaid Younas; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed

    Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

    In: Applied Sciences, Vol. 10, No. 18 (6460), Pages 1-16, MDPI, 9/2020.

  3. Sungho Suh; Paul Lukowicz; Yong Oh Lee

    Fusion of Global-Local Features for Image Quality Inspection of Shipping Label

    In: 2020 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2020), January 10-15, Milan, Italy, IEEE, 2021.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Mihir Patil; Bilal Wehbe; Matias Valdenegro-Toro

    Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

    In: Global OCEANS 2021. OCEANS MTS/IEEE Conference (OCEANS-2021), September 20-23, San Diego, CA, USA, IEEE, 9/2021.

  9. Adriano Lucieri; Muhammad Naseer Bajwa; Andreas Dengel; Sheraz Ahmed

    Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems

    In: ArXiv e-prints (arxiv), Vol. 1, Pages 1-17, 11/2020.

  10. 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.

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