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Florian Huber 0003
Person information
- affiliation: University of Bonn, Department of Computer Science IV, Autonomous Intelligent Systems (AIS) Group, Germany
Other persons with the same name
- Florian Huber — disambiguation page
- Florian Huber 0001
— Düsseldorf University of Applied Sciences, Centre for Digitalisation and Digitality, Germany (and 1 more) - Florian Huber 0002
— Kempten University of Applied Sciences, Faculty of Computer Science, Germany
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2020 – today
- 2024
[j3]Florian Huber, Alvin Inderka
, Volker Steinhage
:
Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning. Sensors 24(3): 770 (2024)
[j2]Florian Huber, Stefan Schulz
, Volker Steinhage
:
Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions. Sensors 24(5): 1604 (2024)
[i5]Alvin Inderka, Florian Huber, Volker Steinhage:
On Convolutional Vision Transformers for Yield Prediction. CoRR abs/2402.05557 (2024)- 2023
[c4]Florian Huber, Hannes Engler, Anna Kicherer, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction. IntelliSys (3) 2023: 210-228
[i4]Florian Huber
, Hannes Engler, Anna Kicherer, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction. CoRR abs/2304.07111 (2023)- 2022
[j1]Florian Huber
, Artem Yushchenko, Benedikt Stratmann
, Volker Steinhage:
Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches. Comput. Electron. Agric. 202: 107346 (2022)
[c3]Chiara Balestra, Florian Huber, Andreas Mayr
, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. DaWaK 2022: 97-111
[c2]Diego Rodriguez, Florian Huber
, Sven Behnke
:
Category-level Part-based 3D Object Non-rigid Registration. VISIGRAPP (4: VISAPP) 2022: 795-802
[i3]Chiara Balestra, Florian Huber
, Andreas Mayr, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. CoRR abs/2205.09060 (2022)
[i2]Florian Huber, Artem Yushchenko, Benedikt Stratmann
, Volker Steinhage:
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches. CoRR abs/2208.12633 (2022)- 2020
[c1]Diego Rodriguez, Florian Huber
, Sven Behnke
:
Category-Level 3D Non-Rigid Registration from Single-View RGB Images. IROS 2020: 10617-10624
[i1]Diego Rodriguez, Florian Huber, Sven Behnke:
Category-Level 3D Non-Rigid Registration from Single-View RGB Images. CoRR abs/2008.07203 (2020)
Coauthor Index

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