Andreas Backhaus

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 7

Top Topics

Radial Basis Function

Top Venues

Publications

Huan Zhou, Ralf Schneider, Sebastian Klüsener, Andreas Backhaus
A new framework for calibrating COVID-19 SEIR models with spatial-/time-varying coefficients using genetic and sliding window algorithms. CoRR (2024)
Florian Becker, Andreas Backhaus, Felix Johrden, Merle Flitter
Optimal multispectral sensor configurations through machine learning for cognitive agriculture. Autom. 69 (4) (2021)
Nele Bendel, Andreas Backhaus, Anna Kicherer, Janine Köckerling, Michael Maixner, Barbara Jarausch, Sandra Biancu, Hans-Christian Klück, Udo Seiffert, Ralf T. Voegele, Reinhard Töpfer
Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging. Remote. Sens. 12 (24) (2020)
Nele Bendel, Anna Kicherer, Andreas Backhaus, Janine Köckerling, Michael Maixner, Elvira Bleser, Hans-Christian Klück, Udo Seiffert, Ralf T. Voegele, Reinhard Töpfer
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging. Remote. Sens. 12 (10) (2020)
Patrick Menz, Andreas Backhaus, Udo Seiffert
Transfer Learning for transferring machine-learning based models among hyperspectral sensors. ESANN (2019)
Anna Kicherer, Katja Herzog, Nele Bendel, Hans-Christian Klück, Andreas Backhaus, Markus Wieland, Johann Christian Rose, Lasse Klingbeil, Thomas Läbe, Christian Hohl, Willi Petry, Heiner Kuhlmann, Udo Seiffert, Reinhard Töpfer
Phenoliner: A New Field Phenotyping Platform for Grapevine Research. Sensors 17 (7) (2017)
Marika Kaden, David Nebel, Friedrich Melchert, Andreas Backhaus, Udo Seiffert, Thomas Villmann
Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities. WSOM (2017)
Uwe Knauer, Andreas Backhaus, Udo Seiffert
Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks. Neural Comput. Appl. 26 (2) (2015)
Uwe Knauer, Andreas Backhaus, Udo Seiffert
Evaluation of Fusion Methods for Gamma-Divergence-Based Neural Network Ensembles. SSCI (2015)
Uwe Knauer, Andreas Backhaus, Udo Seiffert
Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data. WSOM (2014)
Andreas Backhaus, Udo Seiffert
Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size. Neurocomputing 131 (2014)
Andreas Backhaus, Udo Seiffert
Quantitative Measurements of model interpretability for the analysis of spectral data. CIDM (2013)
Thomas Villmann, Marika Kästner, Andreas Backhaus, Udo Seiffert
Processing Hyperspectral Data in Machine Learning. ESANN (2013)
Andreas Backhaus, Jan Lachmair, Ulrich Rückert, Udo Seiffert
Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting. ESANN (2012)
Andreas Backhaus, Praveen Cheriyan Ashok, Bavishna Balagopal Praveen, Kishan Dholakia, Udo Seiffert
Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning. ESANN (2012)
Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann
Relevance Learning in Unsupervised Vector Quantization Based on Divergences. WSOM (2011)
Dietmar Heinke, Andreas Backhaus
Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries. Cogn. Comput. 3 (1) (2011)
Felix Bollenbeck, Andreas Backhaus, Udo Seiffert
A multivariate wavelet-PCA denoising-filter for hyperspectral images. WHISPERS (2011)
Andreas Backhaus, Felix Bollenbeck, Udo Seiffert
Robust classification of the nutrition state in crop plants by hyperspectral imaging and artificial neural networks. WHISPERS (2011)
Andreas Backhaus, Asuka Kuwabara, Andrew Fleming, Udo Seiffert
Validation of unsupervised clustering methods for leaf phenotype screening. ESANN (2010)
Dietmar Heinke, Andreas Backhaus, Yaoru Sun, Glyn W. Humphreys
The Selective Attention for Identification Model (SAIM): Simulating Visual Search in Natural Colour Images. WAPCV (2007)
Andreas Backhaus, Dietmar Heinke, Glyn W. Humphreys
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks. CVPR Workshops (2005)
Torsten Wilhelm, Hans-Joachim Böhme, Horst-Michael Gross, Andreas Backhaus
Statistical and neural methods for vision-based analysis of facial expressions and gender. SMC (3) (2004)