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Publications

Displaying results 381 to 390 of 668.

  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), March 29 - April 1, Hong Kong/Virtual, Hong Kong, Cumincad, 2021.

  2. Sk Aziz Ali; Kerem Kahraman; Gerd Reis; Didier Stricker

    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 (CVPR-2021), June 19-25, Virtual, IEEE, 6/2021.

  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. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

  5. Ho Minh Duy Nguyen; Duy M. Nguyen; Huong Vu; Binh T. Nguyen; Fabrizio Nunnari; Daniel Sonntag

    An Attention Mechanism using Multiple Knowledge Sources for COVID-19 Detection from CT Images

    In: The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). AAAI Conference on Artificial Intelligence (AAAI), Workshop on Trustworthy AI for Healthcare, February 2-9, Vancouver, BC, Canada, AAAI, 2021.

  6. Peter Hevesi; Ramprasad Chinnaswamy Devaraj; Matthias Tschöpe; Oliver Petter; Janis Nikolaus Elfert; Vitor Fortes Rey; Marco Hirsch; Paul Lukowicz

    Towards Construction Progress Estimation Based on Images Captured on Site

    In: EAI IndustrialIoT 2020 - 4th EAI International Conference on Industrial IoT Technologies and Applications. EAI International Conference on Industrial IoT Technologies and Applications (EAI IndustrialIoT-2020), December 11, Online-Conference, Springer, 2020.

  7. Lauren Michelle Pfeifer; Matias Valdenegro-Toro

    Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

    In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS2020, December 7, Virtual, Keine, 2020.

  8. Matthias Rosynski; Frank Kirchner; Matias Valdenegro-Toro

    Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

    In: ICBINB@NeurIPS 2020 - Bridging the gap between theory and empiricism in probabilistic machine learning. I Can't Believe It's Not Better! Workshop (ICBINB-2020), located at NeurIPS 2020, December 12, Virtual, arXiv, 2020.

  9. 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.

  10. Wei Jiang; Hans Dieter Schotten

    Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

    In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021), March 29 - April 1, Nanjing, China, IEEE, 2021.

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