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Publications

Displaying results 371 to 380 of 680.

  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. 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.

  4. 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.

  5. Michael Barz; Sven Stauden; Daniel Sonntag

    Visual Search Target Inference in Natural Interaction Settings with Machine Learning

    In: Andreas Bulling; Anke Huckauf; Eakta Jain; Ralph Radach; Daniel Weiskopf (Hrsg.). ACM Symposium on Eye Tracking Research and Applications. Symposium on Eye Tracking Research & Applications (ETRA-2020), Stuttgart, Germany, Association for Computing Machinery, New York, NY, USA, 5/2020.

  6. 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.

  7. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor

    In: PLOS One, Vol. 7, Pages 1-26, PLOS, 2022.

  8. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Imran Razzak; Andreas Dengel; Sheraz Ahmed

    Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction

    In: Complex & Intelligent Systems, Pages 1-21, Springer, 7/2022.

  9. Jessica Bielski; Burak Mete; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Andreas Dengel; Klaus-Dieter Althoff

    Chasing the White Rabbit: A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board

    In: Proceedings of the 13th International Conference on Computational Creativity. International Conference on Computational Creativity (ICCC-22), 13th, June 27 - July 1, Bolzano, Italy, Pages 73-77, ISBN 978-989-54160-4-2, Association for Computational Creativity (ACC), 6/2022.

  10. Ahmet Kerem Aksoy; Pavel Dushev; Eleni Tzirita Zacharatou; Holmer Hemsen; Marcela Charfuelan Oliva; Jorge Arnulfo Quiane Ruiz; Begüm Demir; Volker Markl

    Satellite Image Search in AgoraEO

    In: Fatma Ozcan; Juliana Freire; Xuemin Li (Hrsg.). Proceedings of the 48th International Conference on Very Large Databases. International Conference on Very Large Data Bases (VLDB-2022), September 5-9, Sydney, Australia, Pages 3646-3649, Vol. 15, No. 12, VLDB Endowment Inc, 8/2022.

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