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Patrick Menz
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2020 – today
- 2024
- [c7]Bonito Steffen Thielert, Patrick Menz, Gesa Marie Götte, Miriam Runne, Markus Michel, Sylvia Wagner, Wolfgang Jarausch, Sebastian Warnemünde:
PhenoTruckAI: On-Site Hyperspectral Measurement for Distinction of Quarantine Grapevine Disease "flavescence dorée" and non-Quarantine Disease "bois noir" in a Mobile Laboratory. INFORMATIK 2024: 1253-1260 - [c6]Patrick Menz, Lauritz Klein, Andreas Herzog:
AI-supported selection procedure for spectral sensors based on technical and economic characteristics. INFORMATIK 2024: 1261-1267 - 2023
- [c5]Bonito Steffen Thielert, Patrick Menz, Sebastian Warnemünde, Katharina Holstein, Lauritz Klein, David Kilias, Miriam Runne, Wolfgang Jarausch, Uwe Knauer:
Drohnenbasiertes Verfahren zur Detektion geschädigter Obstbäume in Obstbaumplantagen. GI-Jahrestagung 2023: 1615-1622 - 2022
- [j1]Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer:
Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing 505: 68-79 (2022) - [c4]Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer:
Federated learning vector quantization for dealing with drift between nodes. ESANN 2022 - [c3]Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert:
From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN 2022 - 2021
- [c2]Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer:
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN 2021
2010 – 2019
- 2019
- [c1]Patrick Menz, Andreas Backhaus, Udo Seiffert:
Transfer Learning for transferring machine-learning based models among hyperspectral sensors. ESANN 2019
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