Florian Haselbeck

Inter-individual variability of EEG features during microsleep events

M. Golz, A. Schenka, Florian Haselbeck, 2019, Current Directions in Biomedical Engineering.

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

Nikita Genze, Michael Grieb, Florian Haselbeck, 2022, Comput. Electron. Agric..

A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

D. Grimm, Sebastian J. Schultheiss, Rupashree Dass, 2022, Frontiers in Plant Science.

Machine learning outperforms classical forecasting on horticultural sales predictions

K. Menrad, Florian Haselbeck, D. G. Grimm, 2021, Machine Learning with Applications.

EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data pdf

Florian Haselbeck, Dominik G. Grimm, Florian Haselbeck, 2021, KI.

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling

C. Beecks, Florian Haselbeck, J. Hüwel, 2022, KI.

Forecasting seasonally fluctuating sales of perishable products in the horticultural industry

Florian Haselbeck, Thomas Hannus, Domink G Grimm, 2024, Expert Systems with Applications.

Superior protein thermophilicity prediction with protein language model embeddings

J. P. Fuenzalida-Werner, Florian Haselbeck, Maura John, 2023, NAR genomics and bioinformatics.