Andreas Backhaus
According to our database1,
Andreas Backhaus
authored at least 23 papers
between 2004 and 2024.
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Bibliography
2024
A new framework for calibrating COVID-19 SEIR models with spatial-/time-varying coefficients using genetic and sliding window algorithms.
CoRR, 2024
2021
Optimal multispectral sensor configurations through machine learning for cognitive agriculture.
Autom., 2021
2020
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging.
Remote. Sens., 2020
Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging.
Remote. Sens., 2020
2019
Transfer Learning for transferring machine-learning based models among hyperspectral sensors.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2017
Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
2015
Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks.
Neural Comput. Appl., 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
2014
Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size.
Neurocomputing, 2014
Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Quantitative Measurements of model interpretability for the analysis of spectral data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries.
Cogn. Comput., 2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Robust classification of the nutrition state in crop plants by hyperspectral imaging and artificial neural networks.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2007
The Selective Attention for Identification Model (SAIM): Simulating Visual Search in Natural Colour Images.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007
2005
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005
2004
Statistical and neural methods for vision-based analysis of facial expressions and gender.
Proceedings of the IEEE International Conference on Systems, 2004