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Publications

Displaying results 351 to 360 of 682.

  1. Adriano Lucieri; Fabian Schmeisser; Christoph Peter Balada; Muhammad Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

    In: Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb (Hrsg.). Annual Conference on Medical Image Understanding and Analysis - MIUA 2022. Medical Image Understanding and Analysis (MIUA-2022), July 27-29, Cambridge, United Kingdom, Pages 46-61, LNCS, Vol. 13413, ISBN 978-3-031-12052-7, Springer, Cham, 7/2022.

  2. Melle Mendikowski; Mattis Hartwig

    Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM-2022), 18th International Conference on Machine Learning and Data Mining, July 16-21, New York, New York, USA, Pages 91-105, Vol. 284, ISBN 978-3-942952-93-4, Springer, Heidelberg, 7/2022.

  3. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

  4. 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.

  5. 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.

  6. 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.

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

    AutoPOSE: Large-Scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Pose Baseline

    In: International Conference on Computer Vision Theory and Applications (VISAPP). International Conference on Computer Vision Theory and Applications (VISAPP-2020), 15th, February 27-29, Valletta, Malta, SCITEPRESS Digital Library, 2020.

  8. 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.

  9. 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.

  10. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Didier Stricker

    Simple and effective deep hand shape and pose regression from a single depth image

    In: Computers & Graphics (CAG), Vol. 85, Pages 85-91, ELSEVIER, 10/2019.

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