Udo Seiffert

Orcid: 0000-0002-6043-7947

According to our database1, Udo Seiffert authored at least 86 papers between 1995 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Investigating intensity and transversal drift in hyperspectral imaging data.
Neurocomputing, 2022

From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Federated learning vector quantization for dealing with drift between nodes.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding.
Remote. Sens., 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

Learning vector quantization and relevances in complex coefficient space.
Neural Comput. Appl., 2020

Adaptive basis functions for prototype-based classification of functional data.
Neural Comput. Appl., 2020

2019
Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers.
Remote. Sens., 2019

Transfer Learning for transferring machine-learning based models among hyperspectral sensors.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2017
Phenoliner: A New Field Phenotyping Platform for Grapevine Research.
Sensors, 2017

Prototypes and matrix relevance learning in complex fourier space.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 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

2016
Functional Representation of Prototypes in LVQ and Relevance Learning.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

2015
Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks.
Neural Comput. Appl., 2015

Evaluation of Fusion Methods for Gamma-Divergence-Based Neural Network Ensembles.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014
ANNIE - Artificial Neural Network-based Image Encoder.
Neurocomputing, 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

Fast image segmentation based on boosted random forests, integral images, and features on demand.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

2013
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

A comparison of late fusion methods for object detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

Processing Hyperspectral Data in Machine Learning.
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
Fractal analysis of resting state functional connectivity of the brain.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 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
Relevance Learning in Unsupervised Vector Quantization Based on Divergences.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

A multivariate wavelet-PCA denoising-filter for hyperspectral images.
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

Recent trends in computational intelligence in life sciences.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Clustering of crop phenotypes by means of hyperspectral signatures using artificial neural networks.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Joint Registration and Segmentation of Histological Volume Data by Diffusion-Based Label Adaption.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Validation of unsupervised clustering methods for leaf phenotype screening.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Computational Intelligence in Biomedical Image Processing.
Proceedings of the Foundations of Computational Intelligence, 2009

VR Based Visualization and Exploration of Plant Biological Data.
J. Virtual Real. Broadcast., 2009

Multimodal Registration of NMR-volumes and Histological Cross-sections of Barley Grains on the Cell Broadband Engine Processor.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

From Individual Intensity Voxel Data to Inter-individual Probabilistic Atlases of Biological Objects by an Interleaved Registration-segmentation Approach.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Remote Rendering of Large Biological Datasets.
Proceedings of the GRAPP 2009, 2009

Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data.
Proceedings of the Similarity-Based Clustering, 2009

Inter-modality registration of NMRi and histological section images using neural networks regression in Gabor feature space.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009

Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data.
Inteligencia Artif., 2008

4D Warping for Analysing Morphological Changes in Seed Development of Barley Grains.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Fast registration-based automatic segmentation of serial section images for high-resolution 3-D plant seed modeling.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Fuzzy image segmentation by potential fields.
Proceedings of the FUZZ-IEEE 2008, 2008

Machine learning approches and pattern recognition for spectral data.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections.
Proceedings of the Visualization in Medicine and Life Sciences., 2008

2007
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue.
BMC Bioinform., 2007

Intuitive Clustering of Biological Data.
Proceedings of the International Joint Conference on Neural Networks, 2007

Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Correlation-based Data Representation.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007

2006
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis.
Neurocomputing, 2006

Training of Large-Scale Feed-Forward Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Sanger-driven MDSLocalize - a comparative study for genomic data.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Neural networks and machine learning in bioinformatics - theory and applications.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Fuzzy image segmentation with Fuzzy Labelled Neural Gas.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Perspectives of Self-adapted Self-organizing Clustering in Organic Computing.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2006

Towards Automatic Segmentation of Serial High-Resolution Images.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
Adaptive Feature Selection for Classification of Microscope Images.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Generalized Relevance LVQ with Correlation Measures for Biological Data.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Adaptive Implementation of Artificial Neural Networks Reflecting Changing Hardware Resources at Run-Time.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
Artificial neural networks on massively parallel computer hardware.
Neurocomputing, 2004

Improving Image Processing Systems by Artificial Neural Networks.
Proceedings of the Reading and Learning, Adaptive Content Recognition, 2004

Haustoria Segmentation in Microscope Colour Images of Barley Cells.
Proceedings of the 10. Workshop Farbbildverarbeitung, 2004

Theory and applications of neural maps.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Biologically Inspired Image Compression in Biomedical High-Throughput Screening.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004

2003
Digital Image Processing with Neural Networks.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Associative Correction Of Compression Artefacts With A Self-Organizing Map Classifying The Image Content.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

Improving Still Image Coding by an SOM-Controlled Associative Memory.
Proceedings of the Progress in Pattern Recognition, 2003

2001
Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware.
Proceedings of the Advances in Self-Organising Maps, 2001

Neural Techniques in Logo Recognition.
Proceedings of the Hybrid Information Systems, 2001

Multiple Layer Perceptron training using genetic algorithms.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

1999
Indirect Unsuperivised Training of Backpropagation Nets.
Proceedings of the Signal and Image Processing (SIP), 1999

1998
Wachsende mehrdimensionale selbstorganisierende Karten zur Analyse bewegter Szenen.
PhD thesis, 1998

1997
Estimating Motion Parameters with Three-Dimensional Self-Organizing Maps.
Inf. Sci., 1997

Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System.
Int. J. Neural Syst., 1997

Classification of 3-D Dendritic Spines using Self-Organizing Maps.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1996
Adaptive filtering of distorted displacement vector fields using artificial neural networks.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Rekonstruktion und Klassifikation dendritischer Spines aus konfokalen Bilddaten.
Proceedings of the Bildverarbeitung für die Medizin: Algorithmen, 1996

Adaptive three-dimensional self-organizing map with a two-dimensional input layer.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

1995
Three-dimensional Self-Organizing Maps for Classification of Image Properties.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995


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