Transfer Learning for transferring machine-learning based models among hyperspectral sensors. - Patrick Menz; Andreas Backhaus; Udo Seiffert (ESANN, 2019)

Federated learning vector quantization for dealing with drift between nodes. - Johannes Brinkrolf; Valerie Vaquet; Fabian Hinder; Patrick Menz; Udo Seiffert; Barbara Hammer (ESANN, 2022)

From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. - Patrick Menz; Valerie Vaquet; Barbara Hammer; Udo Seiffert (ESANN, 2022)

Investigating intensity and transversal drift in hyperspectral imaging data. - Valerie Vaquet; Patrick Menz; Udo Seiffert; Barbara Hammer (Neurocomputing, 2022)

Drohnenbasiertes Verfahren zur Detektion geschädigter Obstbäume in Obstbaumplantagen. - Bonito Steffen Thielert; Patrick Menz; Sebastian Warnemünde; Katharina Holstein; Lauritz Klein; David Kilias; Miriam Runne; Wolfgang Jarausch; Uwe Knauer (GI-Jahrestagung, 2023)

AI-supported selection procedure for spectral sensors based on technical and economic characteristics. - Patrick Menz; Lauritz Klein; Andreas Herzog (INFORMATIK, 2024)

PhenoTruckAI: On-Site Hyperspectral Measurement for Distinction of Quarantine Grapevine Disease "flavescence dorée" and non-Quarantine Disease "bois noir" in a Mobile Laboratory. - Bonito Steffen Thielert; Patrick Menz; Gesa Marie Götte; Miriam Runne; Markus Michel; Sylvia Wagner; Wolfgang Jarausch; Sebastian Warnemünde (INFORMATIK, 2024)