Udo Seiffert

ORCID

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 16

Top Venues

Otto-von-Guericke University Magdeburg, Germany (PHD)

Education History

Otto-von-Guericke University Magdeburg, Germany

PHD

Publications

Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN (2022)
Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing 505 (2022)
Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
Federated learning vector quantization for dealing with drift between nodes. ESANN (2022)
Paul Herzig, Peter Borrmann, Uwe Knauer, Hans-Christian Klück, David Kilias, Udo Seiffert, Klaus Pillen, Andreas Maurer
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding. Remote. Sens. 13 (14) (2021)
Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN (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)
Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
Learning vector quantization and relevances in complex coefficient space. Neural Comput. Appl. 32 (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)
Friedrich Melchert, Gabriele Bani, Udo Seiffert, Michael Biehl
Adaptive basis functions for prototype-based classification of functional data. Neural Comput. Appl. 32 (24) (2020)
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
Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote. Sens. 11 (23) (2019)
Patrick Menz, Andreas Backhaus, Udo Seiffert
Transfer Learning for transferring machine-learning based models among hyperspectral sensors. ESANN (2019)
Gabriele Bani, Udo Seiffert, Michael Biehl, Friedrich Melchert
Adaptive basis functions for prototype-based classification of functional data. WSOM (2017)
Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
Prototypes and matrix relevance learning in complex fourier space. WSOM (2017)
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)
Friedrich Melchert, Udo Seiffert, Michael Biehl
Functional Representation of Prototypes in LVQ and Relevance Learning. WSOM (2016)
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)
Uwe Knauer, Udo Seiffert
Fast image segmentation based on boosted random forests, integral images, and features on demand. CIEL (2014)
Udo Seiffert
ANNIE - Artificial Neural Network-based Image Encoder. Neurocomputing 125 (2014)
Andreas Backhaus, Udo Seiffert
Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size. Neurocomputing 131 (2014)
Uwe Knauer, Udo Seiffert
A comparison of late fusion methods for object detection. ICIP (2013)
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)
Uwe Knauer, Udo Seiffert
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors. MCS (2013)
Wonsang You, Sophie Achard, Jörg Stadler, Bernd Brückner, Udo Seiffert
Fractal analysis of resting state functional connectivity of the brain. IJCNN (2012)
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)
Udo Seiffert, Frank-Michael Schleif, Dietlind Zühlke
Recent trends in computational intelligence in life sciences. ESANN (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)
Felix Bollenbeck, Udo Seiffert
Joint Registration and Segmentation of Histological Volume Data by Diffusion-Based Label Adaption. ICPR (2010)
Udo Seiffert, Felix Bollenbeck, Hans-Peter Mock, Andrea Matros
Clustering of crop phenotypes by means of hyperspectral signatures using artificial neural networks. WHISPERS (2010)
Andreas Backhaus, Asuka Kuwabara, Andrew Fleming, Udo Seiffert
Validation of unsupervised clustering methods for leaf phenotype screening. ESANN (2010)
Felix Bollenbeck, Diana Weier, Wolfram Schoor, Udo Seiffert
From Individual Intensity Voxel Data to Inter-individual Probabilistic Atlases of Biological Objects by an Interleaved Registration-segmentation Approach. VISAPP (1) (2009)
Marc Strickert, Frank-Michael Schleif, Thomas Villmann, Udo Seiffert
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-Based Clustering (2009)
Felix Bollenbeck, Rainer Pielot, Diana Weier, Winfriede Weschke, Udo Seiffert
Inter-modality registration of NMRi and histological section images using neural networks regression in Gabor feature space. CIIP (2009)
Wolfram Schoor, Felix Bollenbeck, Thomas Seidl, Diana Weier, Winfriede Weschke, Bernhard Preim, Udo Seiffert, Rüdiger Mecke
VR Based Visualization and Exploration of Plant Biological Data. J. Virtual Real. Broadcast. 6 (2009)
Wolfram Schoor, Rüdiger Mecke, Udo Seiffert, Felix Bollenbeck, Uwe Scholz
Remote Rendering of Large Biological Datasets. GRAPP (2009)
Felix Bollenbeck, Stephanie Kaspar, Hans-Peter Mock, Diana Weier, Udo Seiffert
Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data. BICoB (2009)
Rainer Pielot, Udo Seiffert, Bertram Manz, Diana Weier, Frank Volke, Falk Schreiber, Winfriede Weschke
Multimodal Registration of NMR-volumes and Histological Cross-sections of Barley Grains on the Cell Broadband Engine Processor. VISAPP (1) (2009)
Felix Bollenbeck, Udo Seiffert
Fast registration-based automatic segmentation of serial section images for high-resolution 3-D plant seed modeling. ISBI (2008)
Marc Strickert, Frank-Michael Schleif, Udo Seiffert, Thomas Villmann
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Inteligencia Artif. 12 (37) (2008)
Rainer Pielot, Udo Seiffert, Bertram Manz, Diana Weier, Frank Volke, Winfriede Weschke
4D Warping for Analysing Morphological Changes in Seed Development of Barley Grains. VISAPP (1) (2008)
Thomas Villmann, Erzsébet Merényi, Udo Seiffert
Machine learning approches and pattern recognition for spectral data. ESANN (2008)
Udo Seiffert, Felix Bollenbeck
Fuzzy image segmentation by potential fields. FUZZ-IEEE (2008)
Marc Strickert, Nese Sreenivasulu, Björn Usadel, Udo Seiffert
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue. BMC Bioinform. 8 (2007)
Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert
Intuitive Clustering of Biological Data. IJCNN (2007)
Thomas Villmann, Marc Strickert, Cornelia Brüß, Frank-Michael Schleif, Udo Seiffert
Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. ESANN (2007)
Marc Strickert, Udo Seiffert
Correlation-based Data Representation. Similarity-based Clustering and its Application to Medicine and Biology (2007)
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
Neural networks and machine learning in bioinformatics - theory and applications. ESANN (2006)
Udo Seiffert
Training of Large-Scale Feed-Forward Neural Networks. IJCNN (2006)
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing 69 (7-9) (2006)
Cornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert
Fuzzy image segmentation with Fuzzy Labelled Neural Gas. ESANN (2006)
Thomas Villmann, Barbara Hammer, Udo Seiffert
Perspectives of Self-adapted Self-organizing Clustering in Organic Computing. BioADIT (2006)
Marc Strickert, Nese Sreenivasulu, Udo Seiffert
Sanger-driven MDSLocalize - a comparative study for genomic data. ESANN (2006)
Cornelia Brüß, Marc Strickert, Udo Seiffert
Towards Automatic Segmentation of Serial High-Resolution Images. Bildverarbeitung für die Medizin (2006)
Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. ANNPR (2006)
Marc Strickert, Nese Sreenivasulu, Silke Peterek, Winfriede Weschke, Hans-Peter Mock, Udo Seiffert
Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. ANNPR (2006)
Udo Seiffert
Adaptive Implementation of Artificial Neural Networks Reflecting Changing Hardware Resources at Run-Time. Artificial Intelligence and Applications (2005)
Ralf Tautenhahn, Alexander Ihlow, Udo Seiffert
Adaptive Feature Selection for Classification of Microscope Images. WILF (2005)
Marc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data. ICANN (1) (2005)
Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann
Generalized Relevance LVQ with Correlation Measures for Biological Data. ESANN (2005)
R. Rebmann, Bernd Michaelis, Gerald Krell, Udo Seiffert, F. Püschel
Improving Image Processing Systems by Artificial Neural Networks. Reading and Learning (2004)
Thomas Villmann, Udo Seiffert, Axel Wismüller
Theory and applications of neural maps. ESANN (2004)
Alexander Ihlow, Udo Seiffert
Haustoria Segmentation in Microscope Colour Images of Barley Cells. Workshop Farbbildverarbeitung (2004)
Udo Seiffert
Biologically Inspired Image Compression in Biomedical High-Throughput Screening. BioADIT (2004)
Alexander Ihlow, Udo Seiffert
Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm. DAGM-Symposium (2004)
Udo Seiffert
Artificial neural networks on massively parallel computer hardware. Neurocomputing 57 (2004)
Axel Wismüller, Udo Seiffert
Digital Image Processing with Neural Networks. ESANN (2003)
R. Rebmann, Gerald Krell, Udo Seiffert, Bernd Michaelis
Associative Correction Of Compression Artefacts With A Self-Organizing Map Classifying The Image Content. DCC (2003)
Gerald Krell, R. Rebmann, Udo Seiffert, Bernd Michaelis
Improving Still Image Coding by an SOM-Controlled Associative Memory. CIARP (2003)
Udo Seiffert
Artificial Neural Networks on Massively Parallel Computer Hardware. ESANN (2002)
Vaijayanti Joshi, Lakhmi C. Jain, Udo Seiffert, Kathleen Zyga, Richard Price, Friedrich Leisch
Neural Techniques in Logo Recognition. HIS (2001)
Udo Seiffert
Multiple Layer Perceptron training using genetic algorithms. ESANN (2001)
Udo Seiffert, Bernd Michaelis
Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware. WSOM (2001)
Udo Seiffert, Bernd Michaelis
Indirect Unsuperivised Training of Backpropagation Nets. SIP (1999)
Udo Seiffert, Bernd Michaelis
Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System. Int. J. Neural Syst. 8 (1) (1997)
G. Sommerkorn, Udo Seiffert, D. Surmeli, Andreas Herzog, Bernd Michaelis, Katharina Braun
Classification of 3-D Dendritic Spines using Self-Organizing Maps. ICANNGA (1997)
Udo Seiffert, Bernd Michaelis
Estimating Motion Parameters with Three-Dimensional Self-Organizing Maps. Inf. Sci. 101 (3-4) (1997)
Udo Seiffert, Bernd Michaelis
Adaptive three-dimensional self-organizing map with a two-dimensional input layer. ANZIIS (1996)
Andreas Herzog, G. Sommerkorn, Udo Seiffert, Bernd Michaelis, Katharina Braun, Werner Zuschratter
Rekonstruktion und Klassifikation dendritischer Spines aus konfokalen Bilddaten. Bildverarbeitung für die Medizin (1996)
Bernd Michaelis, Olaf Schnelting, Udo Seiffert, Rüdiger Mecke
Adaptive filtering of distorted displacement vector fields using artificial neural networks. ICPR (1996)
Udo Seiffert, Bernd Michaelis
Three-dimensional Self-Organizing Maps for Classification of Image Properties. ANNES (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Udo Seiffert