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Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 111 to 120 of 514.
  1. Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

    In: CAADRIA 2021 Proceedings. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2021), …

  2. RPSRNet: End-to-End Trainable Rigid Point Set Registration Network usingBarnes-Hut 2^D-Tree Representation

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition …

  3. 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, …

  4. 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 …

  5. 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.

  6. Some Shades of Grey!: Interpretability and Explainability of Deep Neural Networks

    In: Proceedings WCRML19. ACM Workshop on Crossmodal Learning and Application, Ottawa, Canada, ISBN 978-1-4503-6780-6, Association for Computing …

  7. Marcel Heinz; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Development and Implementation of a Case-Based Reasoning Approach to Speed-Up Deep Reinforcement Learning through Case-Injection for AI Gameplay

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" …

  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 …

  9. 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 …

  10. 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. …