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Publications

Displaying results 371 to 380 of 660.

  1. Maximilian Hoffmann; Ralph Bergmann

    Improving Automated Hyperparameter Optimization with Case-Based Reasoning

    In: Mark T. Keane; Nirmalie Wiratunga (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), Springer, Cham, 2022.

  2. Wei Jiang; Hans Dieter Schotten

    Deep Learning-Aided Delay-Tolerant Zero-Forcing Precoding in Cell-Free Massive MIMO

    In: Proceedings of the 2022 IEEE 96th Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2022), IEEE VTC 2022 Fall, September 26-29, London, United Kingdom, IEEE, 9/2022.

  3. Wei Jiang; Hans Dieter Schotten

    A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

    In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

  4. Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

    Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

    In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

  5. 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.

  6. Christopher Metz; Mehran Goli; Rolf Drechsler

    Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs

    In: Proceedings of SLOHA Workshop 2021. System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA-2021), located at Design, Automation and Test in Europe Conference (DATE), February 5, Grenoble, France, 2021.

  7. Dennis Stumpf; Stephan Krauß; Gerd Reis; Oliver Wasenmüller; Didier Stricker

    SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

    In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. International Conference on Computer Vision Theory and Applications (VISAPP-2021), February 8-10, Online (due to COVID-19), Pages 595-603, Vol. Volume 4 VISAPP: VISAPP, ISBN 978-989-758-488-6, SciTePress, 2021.

  8. Max Leimkühler; Laura Gravemeier; Tim Biester; Oliver Thomas

    Deep learning object detection as an assistance system for complex image labeling tasks

    In: Proceedings of the 54th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2021), A Virtual AIS Conference, located at 54th, January 5-8, Hawaii, Hawaii, USA, ISBN 978-0-9981331-4-0, AIS, 2021.

  9. Nijat Mehdiyev

    Explainable Process Predictions (xPP): A Holistic Framework and Applications

    In: Claudio Di Ciccio; Benoît Depaire; Jochen De Weerdt; Chiara Di Francescomarino; Jorge Munoz-Gama (Hrsg.). ICPM 2020. International Conference on Process Mining (ICPM-2020), 2nd, October 4-9, Padua, Italy, Pages 17-18, Vol. 2703, CEUR, 2020.

  10. Nijat Mehdiyev; Peter Fettke

    Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

    In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. 937, ISBN 9783030649487, Springer, 2021.

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