In this seminar, projects handling similar data structures or methodologies can come together and briefly present their research projects (or other topic related to their research) in oral presentations, offering a snapshot of their work or aspects related to their work to attract potential collaborators. After this, each speaker will head to their own table, allowing interested parties to join the table of the project or topic they’re most drawn to. Here, they can discuss this in greater detail and explore potential collaborations.
Merging explicit and implicit knowledge through synthetic data
Moritz Hess
Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg
Learning from prior distributions: Synthetic data for prior-data fitted networks
Johannes Hog
Department of Computer Science, Faculty of Engineering, University of Freiburg
On the statistic structure of synthetic fluxome data from constraint-based modelling paradigms
Johannes Hertel
Department of Psychiatry and Psychotherapy, Medical Center, University of Greifswald
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg
