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  1. Siting Liang; Hans-Jürgen Profitlich; Maximilian Klass; Niko Möller-Grell; Celine-Fabienne Bergmann; Simon Heim; Christian Niklas; Daniel Sonntag

    Building A German Clinical Named Entity Recognition System without In-domain Training Data

    In: Association for Computational Linguistics. Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-2024), …

  2. The Role of Explainability in Collaborative Human-AI Disinformation Detection

    In: FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and …

  3. Vera Schmitt; Balazs Csomor; Joachim Meyer; Luis-Felipe Villa-Arenas; Charlott Jakob; Tim Polzehl; Sebastian Möller

    Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking

    In: Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation. ACM International Workshop on Multimedia AI against …

  4. Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers

    In: Proceedings of the 29th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces …

  5. 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 …

  6. 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 …

  7. 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 …

  8. 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.

  9. 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.

  10. 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, …