E-LIB Suche - Ergebnisse für: Florian Haselbeck

1

Forecasting seasonally fluctuating sales of perishable prod..:

Eiglsperger, Josef ; Haselbeck, Florian ; Stiele, Viola...
Expert Systems with Applications. 249 (2024) - p. 123438 , 2024

Link: https://doi.org/10.1016/..

2

easyPheno: An easy-to-use and easy-to-extendPythonframework..:

Haselbeck, Florian ; John, Maura ; Grimm, Dominik G.
Bioinformatics Advances. 3 (2023) 1 - p. , 2023

Link: https://doi.org/10.1093/..

3

Superior protein thermophilicity prediction with protein la..:

Haselbeck, Florian ; John, Maura ; Zhang, Yuqi...
NAR Genomics and Bioinformatics. 5 (2023) 4 - p. , 2023

Link: https://doi.org/10.1093/..

4

ForeTiS: A comprehensive time series forecasting framework ..:

Eiglsperger, Josef ; Haselbeck, Florian ; Grimm, Dominik G.
Machine Learning with Applications. 12 (2023) - p. 100467 , 2023

Link: https://doi.org/10.1016/..

5

A comparison of classical and machine learning-based phenot..:

John, Maura ; Haselbeck, Florian ; Dass, Rupashree...
Frontiers in Plant Science. 13 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

6

Deep learning-based early weed segmentation using motion bl..:

Genze, Nikita ; Ajekwe, Raymond ; Güreli, Zeynep...
Computers and Electronics in Agriculture. 202 (2022) - p. 107388 , 2022

Link: https://doi.org/10.1016/..

7

Machine Learning Outperforms Classical Forecasting on Horti..:

Haselbeck, Florian ; Killinger, Jennifer ; Menrad, Klaus..
Machine Learning with Applications. 7 (2022) - p. 100239 , 2022

Link: https://doi.org/10.1016/..

8

Dynamically Self-adjusting Gaussian Processes for Data Stre..:

, In: Lecture Notes in Computer Science; KI 2022: Advances in Artificial Intelligence,

Hüwel, Jan David ; Haselbeck, Florian ; Grimm, Dominik G.. - p. 96-114 , 2022

Link: https://doi.org/10.1007/..

9

EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian ..:

, In: KI 2021: Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Haselbeck, Florian ; Grimm, Dominik G. - p. 135-157 , 2021

Link: https://doi.org/10.1007/..

10

Inter-individual variability of EEG features during microsl..:

Golz, Martin ; Schenka, Adolf ; Haselbeck, Florian.
Current Directions in Biomedical Engineering. 5 (2019) 1 - p. 13-16 , 2019

Link: https://doi.org/10.1515/..

11

ForeTiS: A comprehensive time series forecasting framework ..:

Josef Eiglsperger ; Florian Haselbeck ; Dominik G. Grimm
http://www.sciencedirect.com/science/article/pii/S2666827023000208. , 2023

Link: https://doi.org/10.1016/..

12

DataSheet_1_A comparison of classical and machine learning-..:

Maura John ; Florian Haselbeck ; Rupashree Dass...
doi:10.3389/fpls.2022.932512.s001. , 2022

Link: https://doi.org/10.3389/..

13

A comparison of classical and machine learning-based phenot..:

Maura John ; Florian Haselbeck ; Rupashree Dass...
https://www.frontiersin.org/articles/10.3389/fpls.2022.932512/full. , 2022

Link: https://doi.org/10.3389/..

14

Machine Learning Outperforms Classical Forecasting on Horti..:

Florian Haselbeck ; Jennifer Killinger ; Klaus Menrad..
http://www.sciencedirect.com/science/article/pii/S2666827021001201. , 2022

Link: https://doi.org/10.1016/..

15

Time Series Forecasting with Self-Adaptive Gaussian Process..:

Haselbeck, Florian Franz Xaver , 2023

Link: http://nbn-resolving.de/..