Florian Haselbeck

According to our database, Florian Haselbeck authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting.

Marco Obermeier, Marco Pruckner, Florian Haselbeck, Andreas Zeiselmair

CoRR, April, 2026

2024

Forecasting seasonally fluctuating sales of perishable products in the horticultural industry.

Josef Eiglsperger, Florian Haselbeck, Viola Stiele, Claudia Guadarrama Serrano, Kelly Lim-Trinh, Klaus Menrad, Thomas Hannus, Dominik G. Grimm

Expert Syst. Appl., 2024

2023

Time Series Forecasting with Self-Adaptive Gaussian Process Regression (Zeitreihenvorhersagen mit selbstadaptiver Gaußprozess-Regression)

Florian Haselbeck

PhD thesis, 2023

2022

Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields.

Nikita Genze, Raymond Ajekwe, Zeynep Güreli, Florian Haselbeck, Michael Grieb, Dominik G. Grimm

Comput. Electron. Agric., 2022

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling.

Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

2021

EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data.

Florian Haselbeck, Dominik G. Grimm

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021