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Publications

Displaying results 501 to 510 of 13732.

  1. Manisha Luthra

    Adapting to Dynamic User Environments in Complex Event Processing System using Transitions

    In: Proceedings of the 12th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2018), 12th ACM International Conference on Distributed and Event-Based Systems, New York, NY, USA, Pages 274-277, DEBS '18, ISBN 9781450357821, Association for Computing Machinery, 2018.

  2. Yassin Alkhalili; Manisha Luthra; Amr Rizk; Boris Koldehofe

    3-D Urban Objects Detection and Classification From Point Clouds

    In: Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2019), 13th ACM International Conference on Distributed and Event-Based Systems, Darmstadt, Germany, Pages 209-213, DEBS '19, ISBN 9781450367943, Association for Computing Machinery, 2019.

  3. Martin Pfannemüller; Janick Edinger; Markus Weckesser; Roland Kluge; Manisha Luthra; Robin Klose; Christian Becker; Andy Schürr

    Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems

    In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2019), 22nd International Conference on Pervasive Computing and Communications, Pages 335-337, IEEE, 3/2019.

  4. Martin Pfannemüller; Markus Weckesser; Roland Kluge; Janick Edinger; Manisha Luthra; Robin Klose; Christian Becker; Andy Schürr

    CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems

    In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2019), 22nd International Conference on Pervasive Computing and Communications, Pages 590-595, IEEE, 3/2019.

  5. Manisha Luthra; Sebastian Hennig; Kamran Razavi; Lin Wang; Boris Koldehofe

    Operator as a Service: Stateful Serverless Complex Event Processing

    In: 2020 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data (IEEE BigData-2020), IEEE International Conference on Big Data, Pages 1964-1973, IEEE, 2020.

  6. 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, IEEE, 2024.

  7. 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 Technology (EDBT-2024), 27th International Conference on Extending Database Technology, March 25-28, Italy, ISBN 978-3-89318-091-2, OpenProceeedings.org, 2024.

  8. 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.

  9. 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.

  10. 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.

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