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From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer., , , и . ESANN, (2022)Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware., и . WSOM, стр. 160-166. Springer, (2001)Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks., , и . Neural Comput. Appl., 26 (2): 253-262 (2015)Classification of 3-D Dendritic Spines using Self-Organizing Maps., , , , , и . ICANNGA, стр. 129-132. Springer, (1997)Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers, , , , , , , , , и 1 other автор(ы). Remote Sensing, 11 (23): 2788 (2019)Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data., , , и . ESANN, (2021)Federated learning vector quantization for dealing with drift between nodes., , , , , и . ESANN, (2022)Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging., , , , , , , , , и . Remote. Sens., 12 (10): 1693 (2020)Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging., , , , , , , , , и 1 other автор(ы). Remote. Sens., 12 (24): 4151 (2020)Transfer Learning for transferring machine-learning based models among hyperspectral sensors., , и . ESANN, (2019)