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Dr.-Ing. Michael Feld

Organizational unit Cognitive Assistants
Contact +49 681 85775 5328 (Saarbrücken)

http://www.dfki.de/~mfeld/
Address (Saarbrücken) Gebäude D3 2Stuhlsatzenhausweg 3D-66123 Saarbrücken

Publications

Niko Kleer; Leon Weyand; Michael Feld; Klaus Berberich

In: Elmar Nöth; Aleš Horák; Petr Sojka (Hrsg.). 27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024. International Conference on Text, Speech and Dialogue (TSD-2024), September 9-13, Brno, Czech Republic, Pages 288-299, ISBN 978-3-031-70566-3, Springer International Publishing, Switzerland, 9/2024.

To the publication

Julian Wolter; Niko Kleer; Michael Feld

In: Elmar Nöth; Alevs Horák; Petr Sojka (Hrsg.). 27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024. International Conference on Text, Speech and Dialogue (TSD-2024), Brno, Czech Republic, Pages 300-312, ISBN 978-3-031-70566-3, Springer International Publishing, Switzerland, 9/2024.

To the publication

Amr Gomaa; Guillermo Reyes; Michael Feld; Antonio Krüger

In: Proceedings of the 29th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2024), Greenville, SC, USA, IUI '24, ISBN 9798400705083, Association for Computing Machinery, 3/2024.

To the publication

Profile

  • FedWell

    Life-Long Federated User and Mental Modeling for Health and Well-being

    Adaptive and personalized AI systems in healthcare and well-being rely on information about users and usage situations to provide the best possible support. But, in situations of illness, pain, or…

    FedWell
  • MarKIeR

    Feasibility Study on the Use of AI Tools to Support the State Media Authorities in Verifying the Implementation of the Transparency Requirements of the Medienstaatsvertrag by Media Intermediaries.

    New regulations in the Medienstaatsvertrag (MStV) present the state media authorities with new, diverse tasks in the area of media intermediaries: These must disclose what happens in the background…

  • CAMELOT

    Continuous Adaptive Machine-Learning of Transfer of Control Situations

    A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An…

    CAMELOT
  • TRACTAT

    Transfer of Control (ToC) zwischen Autonomen Systemen und Menschen

    The TRACTAT project aims to lay the foundation for a smooth and effective Transfer of Control (ToC) between autonomous systems and humans in cyber-physical environments.

    Autonomous systems, like…

    TRACTAT
  • MADMACS

    Multiadaptive Dialogue Managementfor Cyber-physical Environments

    Currently, networked cyberphysical systems are the basis for intelligent environments in a variety of settings such as smart factories, smart

    transportation systems, smart shops, and smart buildings.…

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