SeRC Annual Meeting 2021 – Resources

The SeRC Annual Meeting took place online on the 24th of May 2021. Researchers from different fields talked about their research and discussed important issues in the machine learning and A.I. world. For agenda please visit the event page here.

The video of the talks as well slides can be found below.

Keynotes

Deep probabilistic regression, Thomas Schön

Process and Purpose, Not Thing and Technique: How to Pose Data Science Research Challenges, Robert Williamson

Why doesn’t it work in reality? Bridging the gap between curated proof of concept tests and real-world deployment of biomedical image-based deep learning, Ida-Maria Sintorn

SeRC Machine Learning Projects

Slides

• ML research to tackle the clinical wilderness – Claes Lundström
• Learning hardness – Ferenc Tasnadi
• Solving inverse problems with scientific machine learning – Ozan Öktem
• Investments in e-infrastructure in Sweden: PDC – Dirk Pleiter