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Publications

Displaying results 131 to 140 of 658.

  1. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  2. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1532-1542, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  3. Alan Le Goallec; Samuel Diai; Sasha Collin; Jean-Baptiste Prost; Théo Vincent; Chirag J Patel

    Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

    In: Nature Communications, Vol. 13, No. 1, Pages 1979-1979, Nature Publishing Group UK London, 2022.

  4. Jilliam Maria Diaz Barros; Chen-Yu Wang; Didier Stricker; Jason Raphael Rambach

    CONFIDENCE-AWARE CLUSTERED LANDMARK FILTERING FOR HYBRID 3D FACE TRACKING

    In: IEEE (Hrsg.). Proceedings of the 30th ICIP. IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala Lumpur, Malaysia, IEEE, 2023.

  5. Leonid Schwenke; Martin Atzmueller

    Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations

    In: Proceedings of the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2023). International FLAIRS Conference (FLAIRS-2023), May 14-17, Clearwater Beach, FL, USA, Florida Online Journals, 2023.

  6. 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.

  7. 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.

  8. 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.

  9. Daphne Theodorakopoulos; Christoph Manss; Frederic Theodor Stahl; Marius Lindauer

    Green AutoML for Plastic Litter Detection

    In: ICLR 2023 Workshop on Tackling Climate Change with Machine Learning. International Conference on Learning Representations (ICLR), None, 2023.

  10. Michael Meiser; Benjamin Duppe; Ingo Zinnikus

    SynTiSeD - Synthetic Time Series Data Generator

    In: 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) - Proceedings. Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES), located at Cyber-Physical Systems and Internet-of-Things Week, May 9, San Antonio, TX, USA, Pages 1-6, ISBN 979-8-3503-3682-5, IEEE Xplore, 5/2023.

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