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Publications

Displaying results 1941 to 1950 of 14486.

  1. Roman Heinrich; Carsten Binnig; Harald Kornmayer; Manisha Luthra

    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 (ICDE-2024), May 13-17, Netherlands, Pages 1-14, IEEE, 2024.

  2. Manisha Luthra; Andreas Kipf; Matthias Böhm

    A Tutorial Workshop on ML for Systems and Systems for ML

    In: Birgitta König-Ries; Stefanie Scherzinger; Wolfgang Lehner; Gottfried Vossen. BTW 2023. Pages 707-708, ISBN 978-3-88579-725-8, Gesellschaft für Informatik e.V. Bonn, 2023.

  3. Mikhail Fomichev; Manisha Luthra; Maik Benndorf; Pratyush Agnihotri

    No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems

    In: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2023), Europe, Switzerland, DEBS '23, ISBN 9798400701221, Association for Computing Machinery, 2023.

  4. Manisha Luthra

    Network-centric Complex Event Processing: Adaptive, Efficient, and Flexible Placement and Execution of Internet of Things Applications

    PhD-Thesis, Technische Universität Darmstadt, TU prints, 9/2021.

  5. Manisha Luthra; Boris Koldehofe; Ralf Steinmetz

    Transitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing

    In: Informatik Spektrum, Vol. 42, No. 4, Pages 244-255, Springer, 2019.

  6. Emmanouil Vasilomanolakis; Jörg Daubert; Manisha Luthra; Vangelis Gazis; Alex Wiesmaier; Panayotis Kikiras

    On the Security and Privacy of Internet of Things Architectures and Systems

    In: 2015 International Workshop on Secure Internet of Things (SIoT). European Symposium on Computer Security (ESORICS), Austria, Pages 49-57, ISBN 978-1-4673-7769-0, IEEE, 2015.

  7. 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.). Third Workshop on Bridging Human-Computer Interaction and Natural Language Processing - Proceedings of the Workshop. Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP-2024), located at NAACL 2024, June 21, Mexico City, Mexico, ISBN 979-8-89176-111-7, Association for Computational Linguistics. 2024.

  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), June 17-21, Mexico City, Mexico, ACL Anthology, 2024.

  9. 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 Transparency (ACM FAccT-2024), ISBN 9798400704505, Association for Computing Machinery, New York, NY, USA, 2024.

  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 Disinformation (MAD-24), ISBN 979-8-4007-05526, Association for Computing Machinery, New York, NY, USA, 2024.

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