Symposium Explainable Machine Learning
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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.
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Organizers: Andreas Hein, Jörg Lücke, Bernd Meyer, Hans Gerd Nothwang (Universität Oldenburg)
Schedule:
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