Prof. Dr. Jörg Lücke

+49 441 798-3903

W30 2-201


Nicole Kulbach

+49 441 798-3326

+49 441 798-3902

W30 2-206


Carl von Ossietzky Universität Oldenburg
Fakultät für Medizin und Gesundheitswissenschaften
Department für Medizinische Physik und Akustik
Exzellenzcluster Hearing4all - Arbeitsgruppe Machine Learning
Ammerländer Heerstr. 114-118
26129 Oldenburg


Küpkersweg 74
26129 Oldenburg
W30 2-201
NeSSy-Gebäude, 2. OG

Symposium Explainable Machine Learning

Symposium on Explainable Machine Learning for Biomedical Data Analysis and Care Robotics


Start of symposium on Friday, May 15, at 9.55am CET. First talk at 10.00am.

Instructions before you join:

Please do never press "End Meeting". If you leave the meeting always use "Logout". Once you have joined, deactivate your microphone, please. Video is optional but default is deactivated video. If you have questions, use the public chat to ask one. Also in the question time, use the chat with typing "question", then you will get the word (and you have to activate the microphone). Thanks!

Please use this link HERE in order to enter the meeting, or type into your browser:


Organizers: Andreas Hein, Jörg Lücke, Bernd Meyer, Hans Gerd Nothwang (Universität Oldenburg)


From 9:40: Connection to virtual meeting

9:55       Introductory Remarks

Morning Session (Chair: Bernd Meyer)

10:00     Keynote: Prof. Christin Seifert (University of Twente, Netherlands)

               X-AI: Promises, Reality and Future

10:30     Verena Klös (TU Berlin, Germany)

              From explainable self-adaptive systems towards self-explaining cyber-physical systems

11:00     Break

11:15     Prof. Odette Scharenborg (TU Delft, Netherlands)

               Visualizing phoneme category adaptation in deep neural networks

11:45     Prof. Johannes Schöning (Universität Bremen, Germany)

               Beautiful...but at what cost? An examination of externalities in geographic vehicle routing

12:15     Lunch Break

Afternoon Session (Chair: Jörg Lücke)

13:45     Keynote: Prof. Constantin Rothkopf (TU Darmstadt, Germany)

               Why robotics needs explainable cognitive models

14:15     Dr. Agnieszka Grabska-Barwinska (Google DeepMind, London, UK)

               Measuring and improving the quality of visual explanations for neural network decisions

14:45     Break

15:00     Dr. Georgios Exarchakis (Institut de la Vision, Paris, France)

               Multi-scale Invariants for Machine Learning

15:30     Prof. Franziska Mathis-Ullrich (Karlsruhe Inst. Of Technology, Germany)

               Assistive Robots and Embedded AI for Surgery

16:00     Dr. Jörg Cassens (Universität Hildesheim, Germany)

               Does this count as an explanation? A human-centred approach to XAI

16:30     Wrap-up Discussion / Closing Remarks

(Stand: 17.03.2023)  |