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Publications

Displaying results 351 to 360 of 680.

  1. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    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.

  2. Marja Fleitmann; Hristina Uzunova; Andreas Martin Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

    Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

    In: Juan Ye; Michael J. O'Grady; Gabriele Civitarese; Kristina Yordanova (Hrsg.). Proceedings of the 10th EAI International Conference on Wireless Mobile Communication and Healthcare. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth-2021), November 13-14, Chongqing/Virtual, China, Pages 315-322, ISBN 978-3-030-70569-5, Springer International Publishing, 2021.

  3. Hristina Uzunova; Jesse Kruse; Paul Kaftan; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

    Analysis of Generative Shape Modeling Approaches: Latent Space Properties and Interpretability

    In: Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021), March 7-9, Regensburg, Germany, Pages 344-349, Springer, 2021.

  4. Hardik Arora; Christoph Langenhan; Frank Petzold; Viktor Eisenstadt; Klaus-Dieter Althoff

    METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models

    In: Proceedings of the European Conference on Product and Process Modeling 2020-2021. European Conference on Product and Process Modeling (ECPPM-2021), May 5-7, Moscow, Russian Federation, European Association of Product and Process Modelling, 2021.

  5. 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.

  6. 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.

  7. 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.

  8. Daniel Sonntag; Fabrizio Nunnari; Hans-Jürgen Profitlich

    The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions.

    Technical Report, BMBF, H2020, DFKI Research Reports (RR), Vol. 1, 5/2020.

  9. Brian Kenji Iwana; Syed Tahseen Raza Rizvi; Sheraz Ahmed; Andreas Dengel; Seiichi Uchida

    Judging a Book by its Cover

    10/2016.

  10. Adriano Lucieri; Huzaifa Sabir; Muhammad Shoaib Ahmed Siddiqui; Syed Tahseen Raza Rizvi; Brian Kenji Iwana; Seiichi Uchida; Andreas Dengel; Sheraz Ahmed

    Benchmarking Deep Learning Models for Classification of Book Covers

    In: Springer Singapore (Hrsg.). SN Computer Science, Vol. 1, No. Issue 3, Pages 1-16, Springer, Singapore, 5/2020.

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