Thomas Villmann

Andrea Bohnsack

J. Artif. Intell. Soft Comput. Res., 2017

Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning.

[BibT_eX]

[DOI]

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Prototypes and matrix relevance learning in complex fourier space.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Relational and median variants of Possibilistic Fuzzy C-Means.

[BibT_eX]

[DOI]

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Transfer learning in classification based on manifolc. models and its relation to tangent metric learning.

[BibT_eX]

[DOI]

Sascha Saralajew

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Biomedical data analysis in translational research: integration of expert knowledge and interpretable models.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Learning matrix quantization and relevance learning based on Schatten-p-norms.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2016

Self-Adjusting Reject Options in Prototype Based Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Optimization of Statistical Evaluation Measures for Classification by Median Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Complex Variants of GLVQ Based on Wirtinger's Calculus.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Adaptive tangent distances in generalized learning vector quantization for transformation and distortion invariant classification learning.

[BibT_eX]

[DOI]

Sascha Saralajew

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning.

[BibT_eX]

[DOI]

Sascha Saralajew

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning - A Mathematical Characterization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Adaptive dissimilarity weighting for prototype-based classification optimizing mixtures of dissimilarities.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Prototype-based Models for the Supervised Learning of Classification Schemes.

[BibT_eX]

[DOI]

Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

2015

Probabilistic Modeling in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines.

[BibT_eX]

[DOI]

Soft Comput., 2015

Kernelized vector quantization in gradient-descent learning.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Median variants of learning vector quantization for learning of dissimilarity data.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Non-Euclidean principal component analysis by Hebbian learning.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Building the Library of Rna 3D Nucleotide Conformations Using the Clustering Approach.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2015

Stationarity of Matrix Relevance LVQ.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Median-LVQ for classification of dissimilarity data based on ROC-optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Learning matrix quantization and variants of relevance learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Learning Vector Quantization with Adaptive Cost-Based Outlier-Rejection.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2015

Sophisticated LVQ Classification Models - Beyond Accuracy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

2014

Lateral enhancement in adaptive metric learning for functional data.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Special issue on new challenges in neural computation 2012.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

RFSOM - Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Generative versus Discriminative Prototype Based Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Probabilistic Prototype Classification Using t-norms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Find Rooms for Improvement: Towards Semi-automatic Labeling of Occupancy Grid Maps.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 21st International Conference, 2014

High Dimensional Matrix Relevance Learning.

[BibT_eX]

[DOI]

Xibin Zhu

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2014

Recent trends in learning of structured and non-standard data.

[BibT_eX]

[DOI]

Peter Tiño

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Supervised Generative Models for Learning Dissimilarity Data.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Utilization of Chemical Structure Information for Analysis of Spectra Composites.

[BibT_eX]

[DOI]

Kristin Domaschke

André Roßberg

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.

[BibT_eX]

[DOI]

Eduardo Bayro-Corrochano

IEEE Trans. Neural Networks Learn. Syst., 2013

Regularization in Relevance Learning Vector Quantization Using l one Norms.

[BibT_eX]

[DOI]

CoRR, 2013

Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2013

Border-Sensitive Learning in Kernelized Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2013

About analysis and robust classification of searchlight fMRI-data using machine learning classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Median Variant of Generalized Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Processing Hyperspectral Data in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Regularization in relevance learning vector quantization using l1-norms.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Non-Euclidean independent component analysis and Oja's learning.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

A sparse kernelized matrix learning vector quantization model for human activity recognition.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Border sensitive fuzzy vector quantization in semi-supervised learning.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Regularization and improved interpretation of linear data mappings and adaptive distance measures.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Distance Measures for Prototype Based Classification.

[BibT_eX]

[DOI]

Proceedings of the Brain-Inspired Computing - International Workshop, 2013

2012

Limited Rank Matrix Learning, discriminative dimension reduction and visualization.

[BibT_eX]

[DOI]

Kerstin Bunte

Neural Networks, 2012

Functional relevance learning in generalized learning vector quantization.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Gradient Based Learning in Vector Quantization Using Differentiable Kernels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Visualization of processes in self-learning systems.

[BibT_eX]

[DOI]

Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012

Large margin linear discriminative visualization by Matrix Relevance Learning.

[BibT_eX]

[DOI]

Kerstin Bunte

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Differentiable Kernels in Generalized Matrix Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Fuzzy Neural Gas for Unsupervised Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps.

[BibT_eX]

[DOI]

William H. Farrand

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Modified Conn-Index for the evaluation of fuzzy clusterings.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Recent developments in clustering algorithms.

[BibT_eX]

[DOI]

Charles Bouveyron

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Divergence-Based Vector Quantization.

[BibT_eX]

[DOI]

Neural Comput., 2011

Divergence-based classification in learning vector quantization.

[BibT_eX]

[DOI]

Ernest Mwebaze

Neurocomputing, 2011

Neighbor embedding XOM for dimension reduction and visualization.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Efficient Kernelized Prototype Based Classification.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2011

Learning in the context of very high dimensional data (Dagstuhl Seminar 11341).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2011

Sparse Functional Relevance Learning in Generalized Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Relevance Learning in Unsupervised Vector Quantization Based on Divergences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Functional relevance learning in learning vector quantization for hyperspectral data.

[BibT_eX]

[DOI]

M. Kästner

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Magnification in divergence based neural maps.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Information theory related learning.

[BibT_eX]

[DOI]

José C. Príncipe

Andrzej Cichocki

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Multispectral image characterization by partial generalized covariance.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Multivariate class labeling in Robust Soft LVQ.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Generalized functional relevance learning vector quantization.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Optimization of Parametrized Divergences in Fuzzy c-Means.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.

[BibT_eX]

[DOI]

Kerstin Bunte

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Regularization in matrix relevance learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints.

[BibT_eX]

[DOI]

Stephan Simmuteit

Knowl. Inf. Syst., 2010

Median fuzzy c-means for clustering dissimilarity data.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Divergence based vector quantization of spectral data.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Generalized Derivative Based Kernelized Learning Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Divergence Based Online Learning in Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2010

Learning vector quantization for heterogeneous structured data.

[BibT_eX]

[DOI]

Dietlind Zühlke

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Sparse representation of data.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Divergence based Learning Vector Quantization.

[BibT_eX]

[DOI]

Ernest Mwebaze

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Extending FSNPC to handle data points with fuzzy class assignments.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

The Mathematics of Divergence Based Online Learning in Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Cluster Analysis of Cortical Pyramidal Neurons Using SOM.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009

Metric Learning for Prototype-Based Classification.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Prototype Based Classification in Bioinformatics.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Supervised data analysis and reliability estimation with exemplary application for spectral data.

[BibT_eX]

[DOI]

Matthias Ongyerth

Neurocomputing, 2009

Cancer informatics by prototype networks in mass spectrometry.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2009

Functional Principal Component Learning Using Oja's Method and Sobolev Norms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Hierarchical PCA Using Tree-SOM for the Identification of Bacteria.

[BibT_eX]

[DOI]

Stephan Simmuteit

Markus Kostrzewa

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Funtional vector quantization by neural maps.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.

[BibT_eX]

[DOI]

Jens Keilwagen

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure.

[BibT_eX]

[DOI]

Stephan Simmuteit

Thomas Elssner

Proceedings of the International Conference on Machine Learning and Applications, 2009

Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Neural Maps and Learning Vector Quantization - Theory and Applications.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Median Variant of Fuzzy c-Means.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Some Theoretical Aspects of the Neural Gas Vector Quantizer.

[BibT_eX]

[DOI]

Proceedings of the Similarity-Based Clustering, 2009

Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data.

[BibT_eX]

[DOI]

Proceedings of the Similarity-Based Clustering, 2009

09081 Summary - Similarity-based learning on structures.

[BibT_eX]

[DOI]

Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

09081 Abstracts Collection - Similarity-based learning on structures.

[BibT_eX]

[DOI]

Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

2008

Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers.

[BibT_eX]

[DOI]

Martijn van der Werff

André M. Deelder

Rob A. E. M. Tollenaar

Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Fuzzy classification using information theoretic learning vector quantization.

[BibT_eX]

[DOI]

Marie Cottrell

Neurocomputing, 2008

Prototype based fuzzy classification in clinical proteomics.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2008

Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.

[BibT_eX]

[DOI]

Markus Kostrzewa

Axel Walch

Briefings Bioinform., 2008

Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data.

[BibT_eX]

[DOI]

Inteligencia Artif., 2008

Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Machine learning approches and pattern recognition for spectral data.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Metric adaptation for supervised attribute rating.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Generalized matrix learning vector quantizer for the analysis of spectral data.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Magnification Control in Relational Neural Gas.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy.

[BibT_eX]

[DOI]

Matthias Ongyerth

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

Robust Centroid-Based Clustering using Derivatives of Pearson Correlation.

[BibT_eX]

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007

Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data.

[BibT_eX]

[DOI]

Abha Jain

IEEE Trans. Neural Networks, 2007

Margin-based active learning for LVQ networks.

[BibT_eX]

[DOI]

Neurocomputing, 2007

Magnification control for batch neural gas.

[BibT_eX]

[DOI]

Neurocomputing, 2007

Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Applications of Fuzzy Sets Theory, 2007

Fuzzy Labeled Self-Organizing Map for Classification of Spectra.

[BibT_eX]

[DOI]

Proceedings of the Computational and Ambient Intelligence, 2007

Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra.

[BibT_eX]

[DOI]

Proceedings of the Computational and Ambient Intelligence, 2007

Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes.

[BibT_eX]

[DOI]

Proceedings of the Computational and Ambient Intelligence, 2007

Intuitive Clustering of Biological Data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Association Learning in SOMs for Fuzzy-Classification.

[BibT_eX]

[DOI]

Martijn van der Werff

André M. Deelder

Rob A. E. M. Tollenaar

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS.

[BibT_eX]

[DOI]

Cornelia Brüß

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

How to process uncertainty in machine learning?.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.

[BibT_eX]

[DOI]

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

07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology.

[BibT_eX]

[DOI]

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

2006

Comparison of relevance learning vector quantization with other metric adaptive classification methods.

[BibT_eX]

[DOI]

Neural Networks, 2006

Fuzzy classification by fuzzy labeled neural gas.

[BibT_eX]

[DOI]

Neural Networks, 2006

Batch and median neural gas.

[BibT_eX]

[DOI]

Neural Networks, 2006

Magnification Control in Self-Organizing Maps and Neural Gas.

[BibT_eX]

[DOI]

Jens Christian Claussen

Neural Comput., 2006

Effizient Klassifizieren und Clustern: Lernparadigmen von Vektorquantisierern.

[BibT_eX]

[DOI]

Künstliche Intell., 2006

Prototype-based fuzzy classification with local relevance for proteomics.

[BibT_eX]

[DOI]

Neurocomputing, 2006

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

[BibT_eX]

[DOI]

Neurocomputing, 2006

Prototype Based Classification Using Information Theoretic Learning.

[BibT_eX]

[DOI]

Tom Fischer

Marie Cottrell

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Learning Vector Quantization Classification with Local Relevance Determination for Medical Data.

[BibT_eX]

[DOI]

Cornelia Albani

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Neural networks and machine learning in bioinformatics - theory and applications.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Fuzzy image segmentation with Fuzzy Labelled Neural Gas.

[BibT_eX]

[DOI]

Cornelia Brüß

Felix Bollenbeck

Winfriede Weschke

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Perspectives of Self-adapted Self-organizing Clustering in Organic Computing.

[BibT_eX]

[DOI]

Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2006

Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.

[BibT_eX]

[DOI]

Cornelia Brüß

Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

Supervised Batch Neural Gas.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005

On the Generalization Ability of GRLVQ Networks.

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

Supervised Neural Gas with General Similarity Measure.

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

Trends in Neurocomputing at ESANN 2004.

[BibT_eX]

[DOI]

Jochen J. Steil

Gavin C. Cawley

Neurocomputing, 2005

New Aspects in Neurocomputing.

[BibT_eX]

[DOI]

Marie Cottrell

Neurocomputing, 2005

Magnification control in winner relaxing neural gas.

[BibT_eX]

[DOI]

Jens Christian Claussen

Neurocomputing, 2005

Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Generalized Relevance LVQ with Correlation Measures for Biological Data.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Classification using non-standard metrics.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Relevance learning for mental disease classification.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

Evolutionary algorithms with neighborhood cooperativeness according to neural maps.

[BibT_eX]

[DOI]

Beate Villmann

Volker Slowik

Neurocomputing, 2004

Special issue on new aspects in neurocomputing.

[BibT_eX]

[DOI]

Neurocomputing, 2004

Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data.

[BibT_eX]

[DOI]

U. Clauss

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Relevance LVQ versus SVM.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Theory and applications of neural maps.

[BibT_eX]

[DOI]

Axel Wismüller

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Neural maps in remote sensing image analysis.

[BibT_eX]

[DOI]

Neural Networks, 2003

Mathematical Aspects of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

Generalized relevance learning vector quantization.

[BibT_eX]

[DOI]

Neural Networks, 2002

Neural maps for faithful data modelling in medicine - state-of-the-art and exemplary applications.

[BibT_eX]

[DOI]

Neurocomputing, 2002

Evolutionary algorithms using a neural network like migration scheme.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2002

Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2002

Learning Vector Quantization for Multimodal Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Rule Extraction from Self-Organizing Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Exploratory Data Analysis in Medicine and Bioinformatics.

[BibT_eX]

[DOI]

Axel Wismüller

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Batch-RLVQ.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

Estimating Relevant Input Dimensions for Self-organizing Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organising Maps, 2001

Clustering of Categoric Data in Medicine - Application of Evolutionary Algorithms.

[BibT_eX]

[DOI]

Conny Albani

Proceedings of the Computational Intelligence, 2001

Evolutionary algorithms and neural networks in hybrid systems.

[BibT_eX]

[DOI]

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Input pruning for neural gas architectures.

[BibT_eX]

[DOI]

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps.

[BibT_eX]

[DOI]

Michael Geyer

Proceedings of the Medical Data Analysis, First International Symposium, 2000

Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design.

[BibT_eX]

[DOI]

Reiner Haupt

Klaus Hering

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Neural networks approaches in medicine - a review of actual developments.

[BibT_eX]

[DOI]

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999

Neural maps and topographic vector quantization.

[BibT_eX]

[DOI]

Hans-Ulrich Bauer

J. Michael Herrmann

Neural Networks, 1999

Parallel Evolutionary Algorithms with SOM-Like Migration and their Application to Real World Data Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processing.

[BibT_eX]

[DOI]

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Applications of the growing self-organizing map.

[BibT_eX]

[DOI]

Hans-Ulrich Bauer

Neurocomputing, 1998

Evolutionary Algorithms with Self-Organizing Population Dynamic for Clustering of Categories in Psychotherapy Research Using Large Clinical Data Sets.

[BibT_eX]

A. Körner

Conny Albani

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Magnification control in neural maps.

[BibT_eX]

[DOI]