Kiel
- Attribution of climate events - Exploring methods of explainable AI
- The digital Lab Book: Data lineage and workflow documentation in visual data exploration
- Links between volcanism and climate
- Deep neural networks for the prediction of sediment accumulation at the seafloor
- Neural networks reveal evolving patterns of ocean carbon uptake
- Deciphering ocean currents with neural networks and data mining
- Learning underwater visual appearance for robust seafloor surveys
- Cooperative 2D inversion of seismic texture and CSEM data to delineate hydrogeological parameters of offshore aquifers
- Automated event detection and data-analytics in distributed seafloor sensor networks
- Data and process mining to understand seafloor plate tectonics
- Real-time autonomous hydroacoustic object detection
Bremerhaven/Bremen
- Using machine learning to define and characterise 3D ocean regions
- Inverse methods for ice sheet surface elevation changes with an application to West Antarctica
- 4-D Phytoplankton composition from small to large scale by data fusion using AI
- Tracking extended internal stratigraphy in ice sheets from machine learning approaches
- Automated marine data quality control - A machine learning approach
- Paleo Climate reconstruction using multi-fidelity machine learning
- Palaeogenomic networks reveal ecosystem turnover related to sea-ice decline
