Evaluation based combining of classifiers for monitoring honeybees. - Uwe Knauer; Beate Meffert (WACV, 2009)

A comparison of late fusion methods for object detection. - Uwe Knauer; Udo Seiffert (ICIP, 2013)

Cascaded Reduction and Growing of Result Sets for Combining Object Detectors. - Uwe Knauer; Udo Seiffert (MCS, 2013)

Fast image segmentation based on boosted random forests, integral images, and features on demand. - Uwe Knauer; Udo Seiffert (CIEL, 2014)

Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data. - Uwe Knauer; Andreas Backhaus; Udo Seiffert (WSOM, 2014)

Evaluation of Fusion Methods for Gamma-Divergence-Based Neural Network Ensembles. - Uwe Knauer; Andreas Backhaus; Udo Seiffert (SSCI, 2015)

Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks. - Uwe Knauer; Andreas Backhaus; Udo Seiffert (Neural Comput. Appl., 2015)

Multi-Klassifikator-Systeme für die Objetdetektion in Bilddaten. - Uwe Knauer (2018)

Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. - Uwe Knauer; Cornelius Styp von Rekowski; Marianne Stecklina; Tilman Krokotsch; Tuan Pham Minh; Viola Hauffe; David Kilias; Ina Ehrhardt; Herbert Sagischewski; Sergej Chmara; Udo Seiffert (Remote. Sens., 2019)

Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding. - Paul Herzig; Peter Borrmann; Uwe Knauer; Hans-Christian Klück; David Kilias; Udo Seiffert; Klaus Pillen; Andreas Maurer (Remote. Sens., 2021)

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)