Dr. Frederic Theodor Stahl

Head of the Research Department Marine Perception

Contact +49 441 99833 4713 (Oldenburg)

Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 126129 Oldenburg

Publications

On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column
Frederic Theodor Stahl; Lars Nolle; Martin Maximilian Kumm; Christoph Tholen
In: Marco Scarpa; Salvatore Cavalieri; Salvatore Serrano; Fabrizio De Vita (Hrsg.). Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), June 24-27, Catania, Italy, Pages 531-537, Communications of the ECMS, Vol. 39, No. 1, ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.
ArgueMapper Assistant: Interactive Argument Mining Using Generative Language Models
Mirko Lenz; Ralph Bergmann
In: Max Bramer; Frederic Stahl (Hrsg.). Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), 44th, December 17-19, Cambridge, United Kingdom, Pages 189-203, Lecture Notes in Computer Science (LNCS), Vol. 15446, ISBN 978-3-031-77915-2, Springer Nature Switzerland, Cham, 2025.
On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications
Christoph Tholen; Eike Rodenbäck; Lars Nolle; Robert Rettig; Frederic Stahl
In: Max Bramer; Frederic Stahl (Hrsg.). Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), December 17-19, Oxford, United Kingdom, Pages 47-60, ISBN 978-3-031-77915-2, Springer Nature Switzerland, 2025.

Eco-Crossing
Development, investigation and demonstration of an intelligent route-optimizing system to reduce the fuel consumption of ferries
Eco-Crossing
The key challenges in operational shipping are sustainable and optimal ship operation and the reduction of emissions. In international merchant shipping, weather routing is already being…
APLASTIC-Q Arktis
Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz
Beach litter is increasingly considered an important indicator of ocean pollution in international agreements.
In the past, numerous methods have been developed to record beach litter. However, these…
XAI4SFAS
Intelligentes Assistenzsystem für die teilautonome Schiffsführung
Partners
marinom GmbH
Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth
HAI-x
Hybrid AI explainer
More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as well as optimise complex processes and…
iMagine
Imaging data and services for aquatic science
Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil…