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Publications

Displaying results 31 to 40 of 154.
  1. Towards Remote Expert Supported Autonomous Assistant Robots in Shopping Environments

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction …

  2. Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets

    In: 2024 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2024), May 13-17, …

  3. Pratyush Agnihotri; Paul Stiegele; Roman Heinrich; Boris Koldehofe; Carsten Binnig; Manisha Luthra

    ZeroTune: Learned Zero-Shot Parallelism Tuning for Distributed Stream Processing

    In: 40th IEEE International Conference on Data Engineering (ICDE 2024). IEEE International Conference on Data Engineering (ICDE-2024), Pages 1-14, …

  4. Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl

    Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications

    In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ). International Conference on Extending Database …

  5. Max Beinke; Jan Heinrich Beinke; Eduard Anton; Frank Teuteberg

    Breaking the chains of traditional finance: A taxonomy of decentralized finance business models

    In: Electronic Markets, Vol. 34, No. 1, Pages 1-29, Springer Berlin Heidelberg, 12/2024.

  6. Costream: Learned Cost Model for Operator Placement in Edge-Cloud Environments

    In: 40th IEEE International Conference on Data Engineering (ICDE 2024) (recently accepted). IEEE International Conference on Data Engineering …

  7. 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 …

  8. 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), …

  9. 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 …

  10. 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 …