A01 Integrating information from similar data sites when developing clinical prediction models for patients from a target site Principal Investigators: Angelika Rohde, Daniela Zöller Mathematics Statistics / Systems Modeling
A02 Identifying best practice treatment strategies by incorporating information from similar healthcare pathways Principal Investigators: Nadine Binder, Holger Dette Mathematics Statistics / Systems Modeling
A03 Similarity of individual latent dynamics in longitudinal cohort data Principal Investigators: Harald Binder, Thorsten Schmidt Mathematics Statistics / Systems Modeling
A04 An effective similarity integration multi-modal graph neural network method to facilitate disease gene prioritization Principal Investigators: Rolf Backofen, Miriam Schmidts Biomedicine Computer Science
A05 Enabling efficient and safe application of CRISPR-Cas in primary human cells by deep learning-based information transfer from well-investigated cell types Principal Investigators: Rolf Backofen, Toni Cathomen Biomedicine Computer Science
B01 Transfer- and meta-learning in deep networks for human brain-signal analysis Principal Investigators: Tonio Ball, Frank Hutter Biomedicine Computer Science
B02 Transfer learning for forecasting short environmental time series using process-guided neural networks Principal Investigators: Joschka Bödecker, Carsten F. Dormann Computer Science Statistics / Systems Modeling
B03 Linking cohorts and expert knowledge through categorical representations for improved knowledge extraction from longitudinal data Principal Investigators: Cristina Has, Moritz Hess Biomedicine Statistics / Systems Modeling
B04 Essentials for few-shot learning on images Principal Investigators: Thomas Brox, Abhinav Valada Computer Science
B05 Cross-modal representation learning, with applications to search in radiology reports and auto-filling of report templates Principal Investigators: Hannah Bast, Thomas Brox, Elmar Kotter Biomedicine Computer Science
B06 Reciprocal transfer of knowledge from population-based genetic screens to whole-body, organ-resolved models of human metabolism Principal Investigators: Johannes Hertel, Anna Köttgen Biomedicine Statistics / Systems Modeling
C01 Uncertainty quantification in classification with applications in forensic genetics Principal Investigators: Sabine Lutz-Bonengel, Angelika Rohde, Peter Pfaffelhuber Biomedicine Mathematics
C02 Uncertainty and heterogeneity in network meta-analysis with small subgroups and few studies Principal Investigators: Adriani Nikolakopoulou, Elisabeth Schramm Biomedicine Statistics / Systems Modeling
C03 Reducing parameter optimization uncertainties of dynamic models by meta-learning Principal Investigators: Clemens Kreutz, Jens Timmer Statistics / Systems Modeling
C04 Learning fast and efficient hyperparameter control for deep reinforcement learning on small datasets Principal Investigators: Noor Awad, Joschka Bödecker Computer Science
C05 Meta-learning for regularizing deep networks under small data regimes Principal Investigators: Josif Grabocka, Frank Hutter Computer Science
