Prof. Dr. Frédéric Stahl - Jade Hochschule

Professor_in
Professor_in

Wilhelmshaven

E-Mail: frederic.stahl@jade-hs.de

Publikationen

Artificial Intelligence XLII, Part I (2025). Max Bramer, Frederic Stahl. Erschienen in: Springer.
Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods (2025). Christoph Tholen, Carolin Leluschko, Lars Nolle, Frederic Stahl.
On the location-independent reconstruction of photosynthetically active radiation in the water column using neural networks (2025). Martin M. Kumm, Christoph Tholen, Lars Nolle, Frederic Stahl.
On the optimisation of machine learning models for predicting the photosynthetically available radiation in the water column (2025). Frederic Stahl, Lars Nolle, Martin M. Kumm, Christoph Tholen.
Interactive Simulator Framework for XAI Applications in Aquatic Environments (2024). Ahmed H. Elsayed, Tarek A. El-Mihoub, Christoph Manss, Andre Miedtank, Lars Nolle, Frederic Stahl.
On Object Detection and Explainability with Sonar Imagery (2024). Tarek A. El-Mihoub, Abdulhakim El Gadi, Lars Nolle, Frederic Stahl.
On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications (2024). Christoph Tholen, Eike Rodenbäck, Lars Nolle, Robert Rettig, Frederic Stahl.
On the Importance of Domain Knowledge for Real-Time Event Detection (2024). Janina Schneider, Daniel Lukats, Elmar Berghöfer, Iring Paulenz, Lars Nolle, Frederic Stahl.
Artificial Intelligence XL (2023). Max Bramer, Frederic Stahl. Erschienen in: Springer.
On Explanations for Hybrid Artificial Intelligence (2023). Lars Nolle, Frederic Stahl, Tarek El-Mihoub.
A Model for Predicting the Amount of Photosynthetically Available Radiation from BGC-ARGO Float Observations in the Water Column (2022). Frederic Stahl, Lars Nolle, Ahlem Jemai, Oliver Zielinski.
Explainable Boosting Machines for Network Intrusion Detection with Features Reduction (2022). Tarek A. El-Mihoub, Lars Nolle, Frederic Stahl.
On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column (2022). Martin M. Kumm, Lars Nolle, Frederic Stahl, Ahlem Jemai, Oliver Zielinski.