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Publications

Displaying results 371 to 380 of 682.

  1. Muhammad Naseer Bajwa; Kaoru Muta; Muhammad Imran Malik; Shoaib Ahmed Siddiqui; Stephan Alexander Braun; Bernhard Homey; Andreas Dengel; Sheraz Ahmed

    Computer-Aided Diagnosis of Skin Diseases using Deep Neural Networks

    In: Applied Sciences, Vol. 10, No. 7, Pages 1-13, MDPI, 4/2020.

  2. Wei Jiang; Hans Dieter Schotten

    Deep Learning for Fading Channel Prediction

    In: IEEE Open Journal of the Communications Society, Vol. 1, Pages 320-332, IEEE, 3/2020.

  3. Jesujoba O. Alabi; Kwabena Amponsah-Kaakyire; David I. Adelani; Cristina España-Bonet

    Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yorùbá and Twi

    In: 12th Language Resources and Evaluation Conference (LREC). International Conference on Language Resources and Evaluation (LREC-2020), May 12-17, Marseille, France, European Language Resources Association (ELRA), París, 2020.

  4. Ekaterina Loginova; Stalin Varanasi; Günter Neumann

    Towards End-to-End Multilingual Question Answering

    In: Information Systems Frontiers (ISF), Vol. 22, Pages 1-14, Springer, 3/2020.

  5. Niklas Bruns; Daniel Große; Rolf Drechsler

    Early Verification of ISA Extension Specifications Using Deep Reinforcement Learning

    In: 30th ACM Great Lakes Symposium on VLSI (GLSVLSI). ACM Great Lakes Symposium on VLSI (GLSVLSI-2020), Beijing, China, 2020.

  6. Tewodros Amberbir Habtegebrial; Gerd Reis; Didier Stricker

    Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS-2019), located at 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), September 24-26, Amsterdam, Netherlands, ISBN Electronic ISBN: 978-1-7281-5294-3, IEEE, 9/2019.

  7. Mohsin Munir; Muhammad Ali Chattha; Sheraz Ahmed; Andreas Dengel

    A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2019), December 16-19, Boca Raton, Florida, USA, Pages 561-566, ISBN 978-1-7281-4550-1, IEEE, 12/2019.

  8. Rodrigo Suarez‑Ibarrola; Simon Hein; Gerd Reis; Christian Gratzke; Arkadiusz Miernik

    Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer

    In: World Journal of Urology (WJUR), Vol. 2018, Pages 1-19, Springer-Verlag GmbH Germany, part of Springer Nature 2019, 2019.

  9. Wei Jiang; Hans Dieter Schotten

    A Deep Learning Method to Predict Fading Channel in Multi-Antenna Systems

    In: 2020 IEEE 91st Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2020), May 25-28, Antwerp, Belgium, IEEE, 2020.

  10. Ahmet Firintepe; Mohamed Selim; Alain Pagani; Didier Stricker

    The More, the Merrier? A Study on In-Car IR-based Head Pose Estimation

    In: Proceedings. IEEE Intelligent Vehicles Symposium (IV-2020), 31st, October 20-23, Las Vegas, Nevada, USA, IEEE, 2020.

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