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Year: 2024
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Displaying results 51 to 60 of 319.

  1. Tomohiro Nishiyama; Lisa Raithel; Roland Roller; Pierre Zweigenbaum; Eiji Aramaki

    Assessing authenticity and anonymity of synthetic user-generated content in the medical domain.

    In: Proceedings of CALD-Pseudo at EACL 2024. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2024), March …

  2. Marja Fleitmann; Hristina Uzunova; René Pallenberg; Andreas M Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

    Artificial Intelligence-Based Prediction of Contrast Medium Doses for Computed Tomography Angiography Using Optimized Clinical Parameter Sets

    In: Methods of Information in Medicine, Vol. 63, Pages 1-10, Georg Thieme Verlag KG, Stuttgart, 2024.

  3. Bengt Lüers; Patricia P. Serafini; Ivan Braga Campos; Thiago Gouvea; Daniel Sonntag

    BirdNET-Annotator: AI-Assisted Strong Labelling of Bird Sound Datasets

    In: 3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering. AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), located …

  4. Hannes Kath; Patricia P. Serafini; Ivan Braga Campos; Thiago Gouvea; Daniel Sonntag

    Leveraging Transfer Learning and Active Learning for Sound Event Detection in Passive Acoustic Monitoring of Wildlife

    In: 3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering. AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE-2024), …

  5. Qianli Wang; Tatiana Anikina; Nils Feldhus; Josef van Genabith; Leonhard Hennig; Sebastian Möller

    LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

    In: Su Lin Blodgett; Amanda Cercas Curry; Sunipa Dev; Michael Madaio; Ani Nenkova; Diyi Yang; Ziang Xiao (Hrsg.). Proceedings of the Third Workshop on …

  6. 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), …

  7. Vera Schmitt; Luis-Felipe Villa-Arenas; Nils Feldhus; Joachim Meyer; Robert P. Spang; Sebastian Moeller

    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 …

  8. 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 …

  9. Amr Gomaa; Guillermo Reyes; Michael Feld; Antonio Krüger

    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 …

  10. Zongyao Yi; Martin Günther; Joachim Hertzberg

    The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling

    In: Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference. International FLAIRS Conference …

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