Udo Seiffert - RankMe

89 papers B 27C 3Journal 18Unranked 38

Year	Rank	Type	Title / Venue / Authors
2022	B	`conf`	Federated learning vector quantization for dealing with drift between nodes. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
2022	B	`conf`	From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
2022	J	`jnl`	Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2021	J	`jnl`	Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding. Remote. Sens. Paul Herzig, Peter Borrmann, Uwe Knauer, Hans-Christian Klück, David Kilias, Udo Seiffert, Klaus Pillen, Andreas Maurer
2021	B	`conf`	Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2020	J	`jnl`	Adaptive basis functions for prototype-based classification of functional data. Neural Comput. Appl. Friedrich Melchert, Gabriele Bani, Udo Seiffert, Michael Biehl
2020	J	`jnl`	Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging. Remote. Sens. Nele Bendel, Anna Kicherer, Andreas Backhaus, Janine Köckerling, Michael Maixner, Elvira Bleser, Hans-Christian Klück, Udo Seiffert, Ralf T. Voegele, Reinhard Töpfer
2020	J	`jnl`	Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging. Remote. Sens. Nele Bendel, Andreas Backhaus, Anna Kicherer, Janine Köckerling, Michael Maixner, Barbara Jarausch, Sandra Biancu, Hans-Christian Klück, Udo Seiffert, Ralf T. Voegele, Reinhard Töpfer
2020	J	`jnl`	Learning vector quantization and relevances in complex coefficient space. Neural Comput. Appl. Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
2019	B	`conf`	Transfer Learning for transferring machine-learning based models among hyperspectral sensors. ESANN Patrick Menz, Andreas Backhaus, Udo Seiffert
2019	J	`jnl`	Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote. Sens. 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
2017	—	`conf`	Adaptive basis functions for prototype-based classification of functional data. WSOM Gabriele Bani, Udo Seiffert, Michael Biehl, Friedrich Melchert
2017	—	`conf`	Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities. WSOM Marika Kaden, David Nebel, Friedrich Melchert, Andreas Backhaus, Udo Seiffert, Thomas Villmann
2017	J	`jnl`	Phenoliner: A New Field Phenotyping Platform for Grapevine Research. Sensors 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
2017	—	`conf`	Prototypes and matrix relevance learning in complex fourier space. WSOM Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
2016	—	`conf`	Functional Representation of Prototypes in LVQ and Relevance Learning. WSOM Friedrich Melchert, Udo Seiffert, Michael Biehl
2015	—	`conf`	Evaluation of Fusion Methods for Gamma-Divergence-Based Neural Network Ensembles. SSCI Uwe Knauer, Andreas Backhaus, Udo Seiffert
2015	J	`jnl`	Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks. Neural Comput. Appl. Uwe Knauer, Andreas Backhaus, Udo Seiffert
2014	J	`jnl`	ANNIE - Artificial Neural Network-based Image Encoder. Neurocomputing Udo Seiffert
2014	—	`conf`	Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data. WSOM Uwe Knauer, Andreas Backhaus, Udo Seiffert
2014	J	`jnl`	Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size. Neurocomputing Andreas Backhaus, Udo Seiffert
2014	—	`conf`	Fast image segmentation based on boosted random forests, integral images, and features on demand. CIEL Uwe Knauer, Udo Seiffert
2013	B	`conf`	A comparison of late fusion methods for object detection. ICIP Uwe Knauer, Udo Seiffert
2013	—	`conf`	Cascaded Reduction and Growing of Result Sets for Combining Object Detectors. MCS Uwe Knauer, Udo Seiffert
2013	B	`conf`	Processing Hyperspectral Data in Machine Learning. ESANN Thomas Villmann, Marika Kästner, Andreas Backhaus, Udo Seiffert
2013	C	`conf`	Quantitative Measurements of model interpretability for the analysis of spectral data. CIDM Andreas Backhaus, Udo Seiffert
2012	B	`conf`	Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning. ESANN Andreas Backhaus, Praveen Cheriyan Ashok, Bavishna Balagopal Praveen, Kishan Dholakia, Udo Seiffert
2012	B	`conf`	Fractal analysis of resting state functional connectivity of the brain. IJCNN Wonsang You, Sophie Achard, Jörg Stadler, Bernd Brückner, Udo Seiffert
2012	B	`conf`	Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting. ESANN Andreas Backhaus, Jan Lachmair, Ulrich Rückert, Udo Seiffert
2011	—	`conf`	A multivariate wavelet-PCA denoising-filter for hyperspectral images. WHISPERS Felix Bollenbeck, Andreas Backhaus, Udo Seiffert
2011	B	`conf`	Recent trends in computational intelligence in life sciences. ESANN Udo Seiffert, Frank-Michael Schleif, Dietlind Zühlke
2011	—	`conf`	Relevance Learning in Unsupervised Vector Quantization Based on Divergences. WSOM Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann
2011	—	`conf`	Robust classification of the nutrition state in crop plants by hyperspectral imaging and artificial neural networks. WHISPERS Andreas Backhaus, Felix Bollenbeck, Udo Seiffert
2010	—	`conf`	Clustering of crop phenotypes by means of hyperspectral signatures using artificial neural networks. WHISPERS Udo Seiffert, Felix Bollenbeck, Hans-Peter Mock, Andrea Matros
2010	B	`conf`	Joint Registration and Segmentation of Histological Volume Data by Diffusion-Based Label Adaption. ICPR Felix Bollenbeck, Udo Seiffert
2010	B	`conf`	Validation of unsupervised clustering methods for leaf phenotype screening. ESANN Andreas Backhaus, Asuka Kuwabara, Andrew Fleming, Udo Seiffert
2009	—	`ch.`	Computational Intelligence in Biomedical Image Processing. Foundations of Computational Intelligence (5) Felix Bollenbeck, Udo Seiffert
2009	—	`conf`	From Individual Intensity Voxel Data to Inter-individual Probabilistic Atlases of Biological Objects by an Interleaved Registration-segmentation Approach. VISAPP (1) Felix Bollenbeck, Diana Weier, Wolfram Schoor, Udo Seiffert
2009	—	`conf`	Inter-modality registration of NMRi and histological section images using neural networks regression in Gabor feature space. CIIP Felix Bollenbeck, Rainer Pielot, Diana Weier, Winfriede Weschke, Udo Seiffert
2009	—	`conf`	Multimodal Registration of NMR-volumes and Histological Cross-sections of Barley Grains on the Cell Broadband Engine Processor. VISAPP (1) Rainer Pielot, Udo Seiffert, Bertram Manz, Diana Weier, Frank Volke, Falk Schreiber, Winfriede Weschke
2009	—	`conf`	Remote Rendering of Large Biological Datasets. GRAPP Wolfram Schoor, Rüdiger Mecke, Udo Seiffert, Felix Bollenbeck, Uwe Scholz
2009	—	`conf`	Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data. BICoB Felix Bollenbeck, Stephanie Kaspar, Hans-Peter Mock, Diana Weier, Udo Seiffert
2009	—	`conf`	Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-Based Clustering Marc Strickert, Frank-Michael Schleif, Thomas Villmann, Udo Seiffert
2009	J	`jnl`	VR Based Visualization and Exploration of Plant Biological Data. J. Virtual Real. Broadcast. Wolfram Schoor, Felix Bollenbeck, Thomas Seidl, Diana Weier, Winfriede Weschke, Bernhard Preim, Udo Seiffert, Rüdiger Mecke
2008	—	`conf`	4D Warping for Analysing Morphological Changes in Seed Development of Barley Grains. VISAPP (1) Rainer Pielot, Udo Seiffert, Bertram Manz, Diana Weier, Frank Volke, Winfriede Weschke
2008	J	`jnl`	Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Inteligencia Artif. Marc Strickert, Frank-Michael Schleif, Udo Seiffert, Thomas Villmann
2008	—	`conf`	Fast registration-based automatic segmentation of serial section images for high-resolution 3-D plant seed modeling. ISBI Felix Bollenbeck, Udo Seiffert
2008	B	`conf`	Fuzzy image segmentation by potential fields. FUZZ-IEEE Udo Seiffert, Felix Bollenbeck
2008	B	`conf`	Machine learning approches and pattern recognition for spectral data. ESANN Thomas Villmann, Erzsébet Merényi, Udo Seiffert
2008	—	`ch.`	Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections. Visualization in Medicine and Life Sciences Vincent Jasper Dercksen, Cornelia Brüß, Detlev Stalling, Sabine Gubatz, Udo Seiffert, Hans-Christian Hege
2007	—	`conf`	Correlation-based Data Representation. Similarity-based Clustering and its Application to Medicine and Biology Marc Strickert, Udo Seiffert
2007	J	`jnl`	Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue. BMC Bioinform. Marc Strickert, Nese Sreenivasulu, Björn Usadel, Udo Seiffert
2007	B	`conf`	Intuitive Clustering of Biological Data. IJCNN Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert
2007	B	`conf`	Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. ESANN Thomas Villmann, Marc Strickert, Cornelia Brüß, Frank-Michael Schleif, Udo Seiffert
2006	—	`conf`	Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. ANNPR Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer
2006	B	`conf`	Fuzzy image segmentation with Fuzzy Labelled Neural Gas. ESANN Cornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert
2006	J	`jnl`	Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer
2006	B	`conf`	Neural networks and machine learning in bioinformatics - theory and applications. ESANN Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
2006	—	`conf`	Perspectives of Self-adapted Self-organizing Clustering in Organic Computing. BioADIT Thomas Villmann, Barbara Hammer, Udo Seiffert
2006	B	`conf`	Sanger-driven MDSLocalize - a comparative study for genomic data. ESANN Marc Strickert, Nese Sreenivasulu, Udo Seiffert
2006	—	`conf`	Towards Automatic Segmentation of Serial High-Resolution Images. Bildverarbeitung für die Medizin Cornelia Brüß, Marc Strickert, Udo Seiffert
2006	B	`conf`	Training of Large-Scale Feed-Forward Neural Networks. IJCNN Udo Seiffert
2006	—	`conf`	Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. ANNPR Marc Strickert, Nese Sreenivasulu, Silke Peterek, Winfriede Weschke, Hans-Peter Mock, Udo Seiffert
2005	—	`conf`	Adaptive Feature Selection for Classification of Microscope Images. WILF Ralf Tautenhahn, Alexander Ihlow, Udo Seiffert
2005	—	`conf`	Adaptive Implementation of Artificial Neural Networks Reflecting Changing Hardware Resources at Run-Time. Artificial Intelligence and Applications Udo Seiffert
2005	B	`conf`	Generalized Relevance LVQ with Correlation Measures for Biological Data. ESANN Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann
2005	—	`conf`	High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data. ICANN (1) Marc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert
2004	J	`jnl`	Artificial neural networks on massively parallel computer hardware. Neurocomputing Udo Seiffert
2004	—	`conf`	Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm. DAGM-Symposium Alexander Ihlow, Udo Seiffert
2004	—	`conf`	Biologically Inspired Image Compression in Biomedical High-Throughput Screening. BioADIT Udo Seiffert
2004	—	`conf`	Haustoria Segmentation in Microscope Colour Images of Barley Cells. Workshop Farbbildverarbeitung Alexander Ihlow, Udo Seiffert
2004	—	`conf`	Improving Image Processing Systems by Artificial Neural Networks. Reading and Learning R. Rebmann, Bernd Michaelis, Gerald Krell, Udo Seiffert, F. Püschel
2004	B	`conf`	Theory and applications of neural maps. ESANN Thomas Villmann, Udo Seiffert, Axel Wismüller
2003	B	`conf`	Associative Correction Of Compression Artefacts With A Self-Organizing Map Classifying The Image Content. DCC R. Rebmann, Gerald Krell, Udo Seiffert, Bernd Michaelis
2003	B	`conf`	Digital Image Processing with Neural Networks. ESANN Axel Wismüller, Udo Seiffert
2003	C	`conf`	Improving Still Image Coding by an SOM-Controlled Associative Memory. CIARP Gerald Krell, R. Rebmann, Udo Seiffert, Bernd Michaelis
2002	B	`conf`	Artificial Neural Networks on Massively Parallel Computer Hardware. ESANN Udo Seiffert
2001	—	`conf`	Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware. WSOM Udo Seiffert, Bernd Michaelis
2001	B	`conf`	Multiple Layer Perceptron training using genetic algorithms. ESANN Udo Seiffert
2001	C	`conf`	Neural Techniques in Logo Recognition. HIS Vaijayanti Joshi, Lakhmi C. Jain, Udo Seiffert, Kathleen Zyga, Richard Price, Friedrich Leisch
1999	—	`conf`	Indirect Unsuperivised Training of Backpropagation Nets. SIP Udo Seiffert, Bernd Michaelis
1998	—	`—`	Wachsende mehrdimensionale selbstorganisierende Karten zur Analyse bewegter Szenen. Udo Seiffert
1997	—	`conf`	Classification of 3-D Dendritic Spines using Self-Organizing Maps. ICANNGA G. Sommerkorn, Udo Seiffert, D. Surmeli, Andreas Herzog, Bernd Michaelis, Katharina Braun
1997	J	`jnl`	Estimating Motion Parameters with Three-Dimensional Self-Organizing Maps. Inf. Sci. Udo Seiffert, Bernd Michaelis
1997	J	`jnl`	Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System. Int. J. Neural Syst. Udo Seiffert, Bernd Michaelis
1996	B	`conf`	Adaptive filtering of distorted displacement vector fields using artificial neural networks. ICPR Bernd Michaelis, Olaf Schnelting, Udo Seiffert, Rüdiger Mecke
1996	—	`conf`	Adaptive three-dimensional self-organizing map with a two-dimensional input layer. ANZIIS Udo Seiffert, Bernd Michaelis
1996	—	`conf`	Rekonstruktion und Klassifikation dendritischer Spines aus konfokalen Bilddaten. Bildverarbeitung für die Medizin Andreas Herzog, G. Sommerkorn, Udo Seiffert, Bernd Michaelis, Katharina Braun, Werner Zuschratter
1995	—	`conf`	Three-dimensional Self-Organizing Maps for Classification of Image Properties. ANNES Udo Seiffert, Bernd Michaelis