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Head of the Research Department Interactive Machine Learning

Prof. Dr.-Ing. Daniel Sonntag

Organizational unit Interactive Machine Learning
Contact +49 681 85775 5254 (Saarbrücken)

https://www.dfki.de/~sonntag
Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 126129 Oldenburg
Prof. Dr.-Ing. Daniel Sonntag

Publications

All publications
  1. CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models

    Hasan Md Tusfiqur Alam; Devansh Srivastav; Abdulrahman Mohamed Selim; Md Abdul Kadir; Md Moktadirul Hoque Shuvo; Daniel Sonntag

    In: Companion Proceedings of the 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2025), 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, located at EICS-2025, June 23-27, Trier, Germany, Pages 59-61, EICS '25 Companion (EICS '25 Companion), ISBN 9798400718663, Association for…
  2. InFL-UX: A Toolkit for Web-Based Interactive Federated Learning

    Tim Maurer; Abdulrahman Mohamed Selim; Hasan Md Tusfiqur Alam; Matthias Eiletz; Michael Barz; Daniel Sonntag

    In: Companion Proceedings of the 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2025), 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, located at EICS-2025, June 23-27, Trier, Germany, Pages 65-67, EICS '25 Companion (EICS '25 Companion), ISBN 9798400718663, Association for…

Profile

  • NoIDLEChatGPT

    No-IDLE meets ChatGPT

    Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…

    NoIDLEChatGPT
  • 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…

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