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Publications

Displaying results 301 to 310 of 654.

  1. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.

  2. Nele Brügge; Gesine Marie Sallandt; Ronja Schappert; Frédéric Li; Alina Siekmann; Marcin Grzegorzek; Tobias Bäumer; Christian Frings; Christian Beste; Roland Stenger; Veit Roessner; Sebastian Fudickar; Heinz Handels; Alexander Münchau

    Automated Motor Tic Detection: A Machine Learning Approach

    In: Movement Disorders, John Wiley & Sons (Wiley), 5/2023.

  3. Burak Mergen; Tarek Safi; Matthias Nadig; Gopal Bhattrai; Loay Daas; Jan Alexandersson; Berthold Seitz

    Detecting the corneal neovascularisation area using artificial intelligence

    In: British Journal of Ophthalmology (BJO), BMJ Publishing Group Ltd, 2023.

  4. Michael Backenköhler; Paula Linh Kramer; Joschka Groß; Gerrit Großmann; Roman Joeres; Azat Tagirdzhanov; Dominique Sydow; Hamza Ibrahim; Floriane Odje; Verena Wolf; Andrea Volkamer

    TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications

    In: ChemRxiv, Vol. ChemRxiv Online, ChemRxiv.org, 5/2023.

  5. Mehran Jeelani; Sadbhawna; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek; Sunil Jaiswal

    Expanding Synthetic Real-World Degradations for Blind Video Super Resolution

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. New Trends in Image Restoration and Enhancement Workshop (NTIRE-2023), 8th, located at CVPR-2023, June 18, Vancouver, BC, Canada, Pages 1199-1208, Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (CVPRW), IEEE Xplore, 6/2023.

  6. Sk Aziz Ali; Djamila Aouada; Gerd Reis; Didier Stricker (Hrsg.)

    DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport

    International Conference on Computer Vision (ICCV-2023), 2023.

  7. Takashi Miyamoto; Marco Stricker; J. Ogishima; Kevin Iselborn; Marlon Nuske; Andreas Dengel

    Effect of Terrain Information on Multimodel Deep Learning for Flood Disaster Detection

    In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), June 16-21, Pasadena, CA, USA, IEEE, 2023.

  8. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Value Iteration in Continuous Actions, States and Time

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2021), July 18-24, Pages 7224-7234, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

  9. Fabrizio Nunnari; Daniel Sonntag

    A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities

    In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021), June 8-11, Eindhoven/Virtual, Netherlands, EICS '21, ISBN 9781450384490, Association for Computing Machinery, 2021.

  10. Khurram Azeem Hashmi; Marcus Liwicki; Didier Stricker; Muhammad Adnan Afzal; Muhammad Ahtsham Afzal; Muhammad Zeshan Afzal

    Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

    In: IEEE Access, Vol. 9, Pages 87663-87685, IEEE, 6/2021.

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