Author

Florian Haselbeck

Observed names: Haselbeck, Florian, Haselbeck, Florian Franz Xaver

Institution: Weihenstephan-Triesdorf University of Applied Sciences

Observed institutions: Weihenstephan-Triesdorf University of Applied Sciences, Schmalkalden University of Applied Sciences, Technical University of Munich

ORCID: 0000-0002-5702-376X

Observed ORCID: 0000-0002-5702-376X

OpenAlex ID: A5028481992

Guiding questions to avoid data leakage in biological machine learning applications

2024 · Judith Bernett, David B. Blumenthal, et al. · Nature Methods · 187

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

2022 · Nikita Genze, Raymond Ajekwe, et al. · Computers and Electronics in Agriculture · 118

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Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

2021 · Florian Haselbeck, Jennifer Killinger, et al. · Machine Learning with Applications · 61

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

2022 · Maura John, Florian Haselbeck, et al. · Frontiers in Plant Science · 46

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Superior protein thermophilicity prediction with protein language model embeddings

2023 · Florian Haselbeck, Maura John, et al. · NAR Genomics and Bioinformatics · 35

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Forecasting seasonally fluctuating sales of perishable products in the horticultural industry

2024 · Josef Eiglsperger, Florian Haselbeck, et al. · Expert Systems with Applications · 22

Inter-individual variability of EEG features during microsleep events

2019 · Martin Golz, Adolf Schenka, et al. · Current Directions in Biomedical Engineering · 11

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ForeTiS: A comprehensive time series forecasting framework in Python

2023 · Josef Eiglsperger, Florian Haselbeck, et al. · Machine Learning with Applications · 10

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting

2026 · Marco Obermeier, Marco Pruckner, et al. · Energy and AI · 5

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

2021 · Florian Haselbeck, Dominik G. Grimm · Lecture notes in computer science · 5

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Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling

2022 · Jan David Hüwel, Florian Haselbeck, et al. · Lecture notes in computer science · 4

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easyPheno: An easy-to-use and easy-to-extendPythonframework for phenotype prediction using Bayesian optimization

2023 · Florian Haselbeck, Maura John, et al. · Bioinformatics Advances · 1

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Structure-Guided RNA Design via Multinomial Diffusion

2026 · Georg Back, Dirk Walther, et al. · Research Square

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Uncertainty-Aware Crossmodal Fusion for Classification of Animal Behavior

2026 · Yaghoubi, Ehsan, Haselbeck, Florian · arXiv (Cornell University)

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Hierarchical Insect Classification Dataset from Camera Trap Imagery [2021-2023] [dataset]

2026 · Mahfoud, Zaki, Chiavassa, Juan Andres, et al. · Zenodo (CERN European Organization for Nuclear Research)

Deep learning-based hierarchical insect classification using camera trap imagery

2026 · Mahfoud, Zaki, Chiavassa, Juan A., et al. · arXiv (Cornell University)

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Towards Data-efficient Weed Detection via Fine-Tuning Grounding DINO

2026 · Harshavardhan Subramanian, Nikita Genze, et al. · SSRN Electronic Journal

PeroHop4.0 – An AI-Based Multi-Stage Spore Detection and Forecasting Framework for Downy Mildew Management in Hop Production

2026 · Christina Maria Sebald, Lina Liv Willruth, et al.

Assessing Training Data Efficiency of Fine-Tuned Object Detection Models for Drone-Based Crop and Weed Detection

2026 · Harshavardhan Subramanian, Nikita Genze, et al. · SSRN Electronic Journal

Works count: 20

Citation count: 505

H-index: 8

I10-index: 8