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Publikationen

Zeige Ergebnisse 521 bis 530 von 13867.

  1. Alexander Tornede; Difan Deng; Theresa Eimer; Joseph Giovanelli; Aditya Mohan; Tim Ruhkopf; Sarah Segel; Daphne Theodorakopoulos; Tanja Tornede; Henning Wachsmuth; Marius Lindauer

    AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

    In: Cedric Archambeau (Hrsg.). Transactions on Machine Learning Research (TMLR), Vol. 02/2024, Pages 1-31, JMLR, 2/2024.

  2. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  3. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

    In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

  4. Tillmann Angeli; Daniel Reti; Daniel Schneider-Wetzel; Hans Dieter Schotten

    False Flavor Honeypot: Deceiving Vulnerability Scanning Tools

    In: 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE European Symposium on Security and Privacy Workshops (EuroSPW-2024), 3rd Workshop on Active Defense and Deception (AD&D), July 8-12, Vienna, Austria, IEEE, 7/2024.

  5. Brian Moser; Stanislav Frolov; Federico Raue; Sebastian Palacio; Andreas Dengel

    Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2024), International Joint Conference on Neural Networks, Yokohama, Japan, IEEE, 2024.

  6. David Dembinsky; Ko Watanabe; Andreas Dengel; Shoya Ishimaru

    Gaze Generation for Avatars using GANs

    In: IEEE Access (IEEE), 2024.

  7. Vijul Shah; Ko Watanabe; Brian Moser; Andreas Dengel

    EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images

    In: IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, TUCSON, USA, IEEE, 2024.

  8. Shishir Muralidhara; Saqib Bukhari; Georg Schneider; Didier Stricker; René Schuster

    CLEO: Continual Learning of Evolving Ontologies

    In: European Conference on Computer Vision. European Conference on Computer Vision (ECCV-2024), September 29 - October 4, Mailand, Germany, Springer, 2024.

  9. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

  10. Lisa Grewenig; Alexander Winzig; Ralph Bergmann

    Towards a Case-Based Support for Responding Emergency Calls

    In: Juan A. Recio-Garcia; Mauricio G. Orozco-del-Castillo; Derek Bridge (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), July 1-4, Merida, Mexico, Pages 273-288, ISBN 978-3-031-63646-2, Springer Nature Switzerland, 2024.

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