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Publications

 

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Displaying results 101 to 110 of 13134.

  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 …

  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 …

  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 …

  4. C. Gloerfeld; S. E. Wrede; C. de Witt; Xia Wang

    Recommender – Potentials and Limitations for Self-Study in Higher Education from an Educational Science Perspective

    In: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI), Vol. 2, No. 2, Pages 34-45, iJAI, 9/2020.

  5. Alexander Fabisch; Christoph Petzoldt; Marc Otto; Frank Kirchner

    A Survey of Behavior Learning Applications in Robotics - State of the Art and Perspectives

    Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Robotics Innovation Center, DFKI Research Reports, Vol. RR-24-01, 8/2024.

  6. Jilin He; Ekaterina Borisova; Georg Rehm

    Towards a Novel Classification of Table Types in Scholarly Publications

    In: Georg Rehm; Sonja Schimmler; Stefan Dietze; Frank Krüger (Hrsg.). Proceedings of the Workshop on Natural Scientific Language Processing and …

  7. Sönke Knoch; Dirk Schöttke; Andreas Bayha

    Der Schlüssel zur erfolgreichen Digitalisierung - Entwicklung und Nutzen Digitaler Zwillinge in der Industrie 4.0

    In: Industry 4.0 Science, Vol. 40, No. 4, Pages 42-49, GITO, Berlin, 8/2024.

  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, …

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