Head of the Research Department Interactive Machine Learning

Prof. Dr.-Ing. Daniel Sonntag

  • Address (Saarbrücken)
    Gebäude D3 1
    Stuhlsatzenhausweg 3
    D-66123 Saarbrücken

  • Address (Oldenburg)
    Technologie- und Gründerzentrum Oldenburg
    Marie-Curie-Str. 1
    D-26129 Oldenburg

Prof. Dr.-Ing. Daniel Sonntag

Publications

Christoph Albert Johns; Michael Barz; Daniel Sonntag

In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2023: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2023), Berlin, Germany, Pages 75-89, ISBN 978-3-031-42608-7, Springer Nature Switzerland, Cham, 9/2023.

To the publication

Aliki Anagnostopoulou; Mareike Hartmann; Daniel Sonntag

In: Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP). ACL Workshop on Simple and Efficient Natural Language Processing (SustaiNLP-2023), located at Annual Meeting of the Association for Computational Linguistics 2023, July 13, Toronto, Canada, Association for Computational Linguistics, 7/2023.

To the publication

Md Abdul Kadir; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

In: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2023), March 27-31, Sydney, NSW, Australia, Pages 59-63, IUI'23 Companion, Vol. Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, ISBN 9798400701078, Association for Computing Machinery, New York, NY, United States, 3/2023.

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

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz