Skip to main content Skip to main navigation

Head of the Research Department Interactive Machine Learning

Prof. Dr.-Ing. Daniel Sonntag

Publications

Klaus Bengler; Werner Damm; Andreas Luedtke; Jochem Rieger; Benedikt Austel; Bianca Biebl; Martin Fränzle; Willem Hagemann; Moritz Held; David Hess; Klas Ihme; Severin Kacianka; Alyssa J Kerscher; Forrest Laine; Sebastian Lehnhoff; Alexander Pretschner; Astrid Rakow; Daniel Sonntag; Janos Sztipanovits; Maike Schwammberger; Mark Schweda; Anirudh Unni; Eric Veith

In: ACM Transactions on Cyber-Physical Systems (TCPS), Vol. 8, Pages 1-27, ACM, 1/2024.

To the publication

Werner Damm; David Hess; Mark Schweda; Janos Sztipanovits; Klaus Bengler; Bianca Biebl; Martin Fränzle; Willem Hagemann; Moritz Held; Klas Ihme; Severin Kacianka; Alyssa J Kerscher; Sebastian Lehnhoff; Andreas Luedtke; Alexander Pretschner; Astrid Rakow; Jochem Rieger; Daniel Sonntag; Maike Schwammberger; Benedikt Austel; Anirudh Unni; Eric Veith

In: ACM Transactions on Cyber-Physical Systems (TCPS), Vol. 8, Pages 1-32, ACM, 1/2024.

To the publication

Michael Barz; Panagiotis Karagiannis; Johan Kildal; Andoni Rivera Pinto; Judit Ruiz de Munain; Jesús Rosel; Maria Madarieta; Konstantina Salagianni; Panagiotis Aivaliotis; Sotiris Makris; Daniel Sonntag

In: Mohammad-Reza Alam; Madjid Fathi (Hrsg.). Integrated Systems: Innovations and Applications: Results of the 8th International Conference on Integrated Systems Design and Technology (ISDT 2023). Pages 1-16, ISBN 3031536517, Springer, 2024.

To the publication

Profile

  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE
  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER
  • Ophthalmo-AI

    Intelligent, Cooperative Medical Decision Support in Ophthalmology

    The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning…

    Ophthalmo-AI
  • pAItient

    Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.

    Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application…

  • XAINES

    Explaining AI with Narratives

    In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

    XAINES
Show all projects