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Florian Haselbeck
2020 – today
- 2024
- [j2]Josef Eiglsperger
, Florian Haselbeck
, Viola Stiele, Claudia Guadarrama Serrano
, Kelly Lim-Trinh
, Klaus Menrad
, Thomas Hannus
, Dominik G. Grimm
:
Forecasting seasonally fluctuating sales of perishable products in the horticultural industry. Expert Syst. Appl. 249: 123438 (2024) - 2023
- [b1]Florian Haselbeck:
Time Series Forecasting with Self-Adaptive Gaussian Process Regression (Zeitreihenvorhersagen mit selbstadaptiver Gaußprozess-Regression). TU Munich, Germany, 2023 - 2022
- [j1]Nikita Genze
, Raymond Ajekwe, Zeynep Güreli, Florian Haselbeck, Michael Grieb, Dominik G. Grimm
:
Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields. Comput. Electron. Agric. 202: 107388 (2022) - [c2]Jan David Hüwel
, Florian Haselbeck
, Dominik G. Grimm
, Christian Beecks:
Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. KI 2022: 96-114 - 2021
- [c1]Florian Haselbeck
, Dominik G. Grimm
:
EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. KI 2021: 135-157 - [i1]Florian Haselbeck, Dominik G. Grimm
:
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. CoRR abs/2107.02463 (2021)
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last updated on 2025-01-20 23:01 CET by the dblp team
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