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 3D-66123 Saarbrücken Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 1D-26129 Oldenburg

Publications

Abdulrahman Mohamed Selim; Omair Shahzad Bhatti; Michael Barz; Daniel Sonntag

In: Proceedings of the 26th International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2024), November 4-8, San Jose, Costa Rica, Pages 418-427, ICMI '24, ISBN 9798400704628, Association for Computing Machinery, New York, NY, USA, 11/2024.

László Kopácsi; Albert Klimenko; Michael Barz; Daniel Sonntag

In: Proceedings of the 2024 ACM Symposium on Spatial User Interaction (SUI '24). ACM Symposium on Spatial User Interaction (SUI-2024), October 7-8, Trier, Germany, Pages 1-2, No. 40, ISBN 9798400710889, Association for Computing Machinery, New York, NY, USA, 10/2024.

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

In: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology (VRST '24). ACM Symposium on Virtual Reality Software and Technology (VRST-2024), October 9-11, Trier, Germany, Pages 1-2, No. 67, ISBN 9798400705359, Association for Computing Machinery, New York, NY, USA, 10/2024.

All publications

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)…
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…
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…
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…
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…