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Publications

Displaying results 1161 to 1170 of 14742.

  1. Ko Watanabe; Seiya Tanaka; Andrew Vargo; Koichi Kise; Andreas Dengel

    Comparing Web Browsing Behaviors with High and Low Information Literacy: A Case Study for Fact Check Against GPT Generated Fake News

    In: Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pervasive and Ubiquitous Computing (UbiComp Companion '24). International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2024), October 5-9, Melbourne, Australia, ISBN 979-8-4007-1058-2/24/10, ACM, 2024.

  2. Jan Herbst; Lea Bergkemper; Christian Fahldieck; Christoph Lipps; Arata Jingu; Jürgen Steimle; Hans D. Schotten

    One Step Towards Secure Identification in Wireless Body Area Networks (WBANs): Intelligent Insole Sensor Systems

    In: 2024 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS). IEEE International Conference on Flexible Printable Sensors and Systems (FLEPS-2024), June 30 - July 3, Tampere, Finland, IEEE Xplore, 2024.

  3. Olga Zagovora; Talisa Schwall; Katrin Weller

    Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact

    In: Companion Publication of the 16th ACM Web Science Conference. Web Science Conference (WebSci), New York, NY, USA, Websci Companion '24, ISBN 9798400704536, Association for Computing Machinery, 2024.

  4. Bernhard Vogginger; Amirhossein Rostami; Vaibhav Jain; Sirine Arfa; Andreas Hantsch; David Kappel; Michael Schäfer; Ulrike Faltings; Hector A. Gonzalez; Chen Liu; Christian Mayr; Wolfgang Maaß

    Neuromorphic hardware for sustainable AI data centers

    -, arXiv, 6/2024.

  5. 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.

  6. 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.

  7. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: ArXiv e-prints (arxiv), Vol. arXiv:2406.03984, Pages 1-17, arXiv, 6/2024.

  8. Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel

    Q-seg: Quantum annealing-based unsupervised image segmentation

    In: ArXiv e-prints (arxiv), Vol. arXiv:2311.12912, Pages 1-8, arXiv, 2023.

  9. Sabine Janzen; Prajvi Saxena; Cicy Agnes; Wolfgang Maaß

    Adaptive AI Systems in Knee Rehabilitation: Integrating Artificial Mental Models for Personalized Patient Support

    In: 13. Jahreskongress der Deutschen Kniegesellschaft. Jahreskongress der Deutschen Kniegesellschaft (DKG-2024), November 8-9, Hamburg, Germany, DKG, 11/2024.

  10. Hannes Kath; Patricia P. Serafini; Ivan B. Campos; Thiago Gouvea; Daniel Sonntag

    Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife

    In: Ecological Informatics, Vol. 82, Pages 1-9, Elsevier, 2024.

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