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Publications

Displaying results 1911 to 1920 of 15033.

  1. Simranjeet Singh; Ankit Bende; Chandan Jha; Vikas Rana; Rolf Drechsler; Sachin Patkar; Farhad Merchant

    In-Memory Mirroring: Cloning Without Reading

    In: IFIP/IEEE International Conference on Very Large-Scale Integration (VLSI-SoC). IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC-2024), October 6-9, Tanger, Morocco, 2024.

  2. Christoph Heinbach; Maximilian Birle; Goy-Hinrich Korn

    Transport-Equipment-as- a-Service: Intelligente Lkw-Trailer im datengetriebenen Speditionsgeschäft

    In: Wirtschaftsinformatik & Management (WuM), Vol. online first, Pages 1-12, Springer, 6/2024.

  3. Hannes Schlieter; Maren Kählig; Emily Hickmann; Daniel Fürstenau; Ali Sunyaev; Peggy Richter; Rüdiger Breitschwerdt; Christian Thielscher; Martin Gersch; Wolfgang Maass; Melanie Reuter-Oppermann; Lena Wiese

    Digitale Gesundheitsanwendungen (DiGA) im Spannungsfeld von Fortschritt und Kritik

    In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Vol. 67, Pages 107-114, Springer, 1/2024.

  4. Charlene Röhl; Aljoscha Burchardt; Sven Schmeier; Wolfgang Wahlster; Michael Schmidt; Julius Mackowiak; Moritz Wernecke; Michael ten Hompel; Patrick Bunk; Julian Volland

    Evalitech: Eine neue Metrik zur Vergabe von Professuren für die Technikwissenschaften

    In: Manfred Löwisch; Thomas Würtenberger; Cornelia Feldmann (Hrsg.). Ordnung der Wissenschaft (OdW), Vol. 1/2024, Pages 13-24, Ordnung der Wissenschaft, Freiburg, 2024.

  5. Francisco Mena; Diego Arenas; Andreas Dengel

    Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation

    In: Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2024). ECML/PKDD Workshop on Machine Learning for Earth Observation (MACLEAN-24), located at ECML/PKDD 2024, September 13, Vilnius, Lithuania, Springer, 2024.

  6. Vera Schmitt; Jakob Tesch; Eva Lopez; Tim Polzehl; Aljoscha Burchardt; Konstanze Neumann; Salar Mohtaj; Sebastian Möller

    Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation

    In: Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies @ LREC-COLING 2024. Legal and Ethical Issues in Human Language Technologies (LEGAL-2024), located at LREC-Coling 2024, May 20, Torino, Italy, Pages 28-38, ELRA and ICCL, 2024.

  7. Karlheinz Steinmüller; Aljoscha Burchardt; Kai Gondlach; Heiko von der Gracht; Stefanie Kisgen; Kai Ellermann; Melanie Martini; Marcus John

    Kann Künstliche Intelligenz Zukunftsforschung? – Ein spekulativer Impuls

    In: Zeitschrift für Zukunftsforschung, Vol. 2022, No. 1, Pages 4-26, Zeitschrift für Zukunftsforschung e.V. 2022.

  8. Tobias Wirth; Andrey Guzhov; Matthias Müller; Tobias Fischer; Lucas Howes; Dominik Ospelt

    AI combats Cybercrime - Deep Learning for Forensics

    In: Future Insight e.V. (Hrsg.). Curious 2024. Curious - Future Insight Conference (Curious-2024), July 10-11, Mainz, Germany, www.curiousfutureinsight.org, 7/2024.

  9. Kai Karren; Michael Schmitz; Stefan Schaffer

    Improving Conversational User Interfaces for Citizen Complaint Management through enhanced Contextual Feedback

    In: Proceedings of the 6th ACM Conference on Conversational User Interfaces. International Conference on Conversational User Interfaces (CUI-2024), Luxembourg, Luxembourg, CUI '24, ISBN 9798400705113, Association for Computing Machinery, 2024.

  10. Nikolas Wehner; Nils Feldhus; Michael Seufert; Sebastian Möller; Tobias Hoßfeld

    QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models

    In: 2024 16th International Conference on Quality of Multimedia Experience (QoMEX). International Conference on Quality of Multimedia Experience (QoMEX-2024), Karlshamn, Sweden, IEEE, 7/2024.

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