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


Rajarshi Biswas, Michael Barz, Mareike Hartmann, Daniel Sonntag

In: Luis Espinosa-Anke , Carlos Martin-Vide , Irena Spasic (editor). Statistical Language and Speech Processing SLSP 2021. International Conference on Statistical Language and Speech Processing (SLSP) 8th-9th November 22-26 Cardiff United Kingdom Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (LNCS / LNAI) Springer Heidelberg 11/2021.

To the publication



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…



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…


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…



KI-getriebener Paradigmenwechsel durch Mitarbeiter-zentrische Schicht- und Dienstplanung zur Verringerung des Pflegenotstands

The goal of the KI-Para-Mi project is to develop an intelligent personnel planning system for flexible shift scheduling in nursing, which above all takes into account the interests of the employees.…


SkinCare (EIT)


The EIT digital project SkinCare is developing a mobile app for patients in the context of skin cancer diagnosis and treatment. The combination of patient data and image data enables decision support…

SkinCare (EIT)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz