Thomas Villmann

According to our database1, Thomas Villmann authored at least 224 papers between 1993 and 2019.

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

Timeline

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Bibliography

2019
Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison.
CoRR, 2019

Application of an interpretable classification model on Early Folding Residues during protein folding.
BioData Mining, 2019

Investigation of Activation Functions for Generalized Learning Vector Quantization.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector Quantization.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Variants of Fuzzy Neural Gas.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Prototype-based Neural Network Layers: Incorporating Vector Quantization.
CoRR, 2018

Learning Vector Quantization Methods for Interpretable Classification Learning and Multilayer Networks.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Multi-class and Cluster Evaluation Measures Based on Rényi and Tsallis Entropies and Mutual Information.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Direct Incorporation of L_1 -Regularization into Generalized Matrix Learning Vector Quantization.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning.
J. Artif. Intell. Soft Comput. Res., 2017

Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning.
Neurocomputing, 2017

Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 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

Relational and median variants of Possibilistic Fuzzy C-Means.
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.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Biomedical data analysis in translational research: integration of expert knowledge and interpretable models.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Learning matrix quantization and relevance learning based on Schatten-p-norms.
Neurocomputing, 2016

Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261).
Dagstuhl Reports, 2016

Self-Adjusting Reject Options in Prototype Based Classification.
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.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Complex Variants of GLVQ Based on Wirtinger's Calculus.
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.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning.
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.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Adaptive dissimilarity weighting for prototype-based classification optimizing mixtures of dissimilarities.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Prototype-based Models for the Supervised Learning of Classification Schemes.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

2015
Probabilistic Modeling in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines.
Soft Comput., 2015

Kernelized vector quantization in gradient-descent learning.
Neurocomputing, 2015

Median variants of learning vector quantization for learning of dissimilarity data.
Neurocomputing, 2015

Non-Euclidean principal component analysis by Hebbian learning.
Neurocomputing, 2015

Building the Library of Rna 3D Nucleotide Conformations Using the Clustering Approach.
Applied Mathematics and Computer Science, 2015

Stationarity of Matrix Relevance LVQ.
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.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Median-LVQ for classification of dissimilarity data based on ROC-optimization.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Learning matrix quantization and variants of relevance learning.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Learning Vector Quantization with Adaptive Cost-Based Outlier-Rejection.
Proceedings of the Computer Analysis of Images and Patterns, 2015

Sophisticated LVQ Classification Models - Beyond Accuracy Optimization.
Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

2014
Lateral enhancement in adaptive metric learning for functional data.
Neurocomputing, 2014

Special issue on new challenges in neural computation 2012.
Neurocomputing, 2014

Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization.
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.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Generative versus Discriminative Prototype Based Classification.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Probabilistic Prototype Classification Using t-norms.
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.
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.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

High Dimensional Matrix Relevance Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Recent trends in learning of structured and non-standard data.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Supervised Generative Models for Learning Dissimilarity Data.
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.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Utilization of Chemical Structure Information for Analysis of Spectra Composites.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems.
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.
IEEE Trans. Neural Netw. Learning Syst., 2013

Regularization in Relevance Learning Vector Quantization Using l one Norms.
CoRR, 2013

Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters.
Comp. Int. and Neurosc., 2013

Border-Sensitive Learning in Kernelized Learning Vector Quantization.
Proceedings of the Advances in Computational Intelligence, 2013

About analysis and robust classification of searchlight fMRI-data using machine learning classifiers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Median Variant of Generalized Learning Vector Quantization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Processing Hyperspectral Data in Machine Learning.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Regularization in relevance learning vector quantization using l1-norms.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Non-Euclidean independent component analysis and Oja's learning.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

A sparse kernelized matrix learning vector quantization model for human activity recognition.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Border sensitive fuzzy vector quantization in semi-supervised learning.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Regularization and improved interpretation of linear data mappings and adaptive distance measures.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Distance Measures for Prototype Based Classification.
Proceedings of the Brain-Inspired Computing - International Workshop, 2013

2012
Limited Rank Matrix Learning, discriminative dimension reduction and visualization.
Neural Networks, 2012

Functional relevance learning in generalized learning vector quantization.
Neurocomputing, 2012

Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences.
Neurocomputing, 2012

Gradient Based Learning in Vector Quantization Using Differentiable Kernels.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Visualization of processes in self-learning systems.
Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012

Large margin linear discriminative visualization by Matrix Relevance Learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Differentiable Kernels in Generalized Matrix Learning Vector Quantization.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Fuzzy Neural Gas for Unsupervised Vector Quantization.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps.
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.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Modified Conn-Index for the evaluation of fuzzy clusterings.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Recent developments in clustering algorithms.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Divergence-Based Vector Quantization.
Neural Computation, 2011

Divergence-based classification in learning vector quantization.
Neurocomputing, 2011

Neighbor embedding XOM for dimension reduction and visualization.
Neurocomputing, 2011

Efficient Kernelized Prototype Based Classification.
Int. J. Neural Syst., 2011

Learning in the context of very high dimensional data (Dagstuhl Seminar 11341).
Dagstuhl Reports, 2011

Sparse Functional Relevance Learning in Generalized Learning Vector Quantization.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Relevance Learning in Unsupervised Vector Quantization Based on Divergences.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Magnification in divergence based neural maps.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Information theory related learning.
Proceedings of the ESANN 2011, 2011

Multispectral image characterization by partial generalized covariance.
Proceedings of the ESANN 2011, 2011

Multivariate class labeling in Robust Soft LVQ.
Proceedings of the ESANN 2011, 2011

Generalized functional relevance learning vector quantization.
Proceedings of the ESANN 2011, 2011

Optimization of Parametrized Divergences in Fuzzy c-Means.
Proceedings of the ESANN 2011, 2011

Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.
Proceedings of the ESANN 2011, 2011

2010
Regularization in matrix relevance learning.
IEEE Trans. Neural Networks, 2010

Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints.
Knowl. Inf. Syst., 2010

Median fuzzy c-means for clustering dissimilarity data.
Neurocomputing, 2010

Divergence based vector quantization of spectral data.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Generalized Derivative Based Kernelized Learning Vector Quantization.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Divergence Based Online Learning in Vector Quantization.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Learning vector quantization for heterogeneous structured data.
Proceedings of the ESANN 2010, 2010

Sparse representation of data.
Proceedings of the ESANN 2010, 2010

Divergence based Learning Vector Quantization.
Proceedings of the ESANN 2010, 2010

Extending FSNPC to handle data points with fuzzy class assignments.
Proceedings of the ESANN 2010, 2010

Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.
Proceedings of the ESANN 2010, 2010

The Mathematics of Divergence Based Online Learning in Vector Quantization.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Cluster Analysis of Cortical Pyramidal Neurons Using SOM.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009
Metric Learning for Prototype-Based Classification.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Prototype Based Classification in Bioinformatics.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Supervised data analysis and reliability estimation with exemplary application for spectral data.
Neurocomputing, 2009

Cancer informatics by prototype networks in mass spectrometry.
Artificial Intelligence in Medicine, 2009

Functional Principal Component Learning Using Oja's Method and Sobolev Norms.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Hierarchical PCA Using Tree-SOM for the Identification of Bacteria.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Funtional vector quantization by neural maps.
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.
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.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers.
Proceedings of the ESANN 2009, 2009

Neural Maps and Learning Vector Quantization - Theory and Applications.
Proceedings of the ESANN 2009, 2009

Median Variant of Fuzzy c-Means.
Proceedings of the ESANN 2009, 2009

Some Theoretical Aspects of the Neural Gas Vector Quantizer.
Proceedings of the Similarity-Based Clustering, 2009

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

09081 Summary - Similarity-based learning on structures.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

09081 Abstracts Collection - Similarity-based learning on structures.
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.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Fuzzy classification using information theoretic learning vector quantization.
Neurocomputing, 2008

Prototype based fuzzy classification in clinical proteomics.
Int. J. Approx. Reasoning, 2008

Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.
Briefings in Bioinformatics, 2008

Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2008

Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Machine learning approches and pattern recognition for spectral data.
Proceedings of the ESANN 2008, 2008

Metric adaptation for supervised attribute rating.
Proceedings of the ESANN 2008, 2008

Generalized matrix learning vector quantizer for the analysis of spectral data.
Proceedings of the ESANN 2008, 2008

Magnification Control in Relational Neural Gas.
Proceedings of the ESANN 2008, 2008

Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

Robust Centroid-Based Clustering using Derivatives of Pearson Correlation.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data.
IEEE Trans. Neural Networks, 2007

Margin-based active learning for LVQ networks.
Neurocomputing, 2007

Magnification control for batch neural gas.
Neurocomputing, 2007

Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Fuzzy Labeled Self-Organizing Map for Classification of Spectra.
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.
Proceedings of the Computational and Ambient Intelligence, 2007

Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes.
Proceedings of the Computational and Ambient Intelligence, 2007

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

Association Learning in SOMs for Fuzzy-Classification.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS.
Proceedings of the ESANN 2007, 2007

How to process uncertainty in machine learning?.
Proceedings of the ESANN 2007, 2007

07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.
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.
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.
Neural Networks, 2006

Fuzzy classification by fuzzy labeled neural gas.
Neural Networks, 2006

Batch and median neural gas.
Neural Networks, 2006

Magnification Control in Self-Organizing Maps and Neural Gas.
Neural Computation, 2006

Effizient Klassifizieren und Clustern: Lernparadigmen von Vektorquantisierern.
KI, 2006

Prototype-based fuzzy classification with local relevance for proteomics.
Neurocomputing, 2006

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

Prototype Based Classification Using Information Theoretic Learning.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Learning Vector Quantization Classification with Local Relevance Determination for Medical Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Neural networks and machine learning in bioinformatics - theory and applications.
Proceedings of the ESANN 2006, 2006

Fuzzy image segmentation with Fuzzy Labelled Neural Gas.
Proceedings of the ESANN 2006, 2006

Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps.
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.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2006

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

Supervised Batch Neural Gas.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
On the Generalization Ability of GRLVQ Networks.
Neural Processing Letters, 2005

Supervised Neural Gas with General Similarity Measure.
Neural Processing Letters, 2005

Trends in Neurocomputing at ESANN 2004.
Neurocomputing, 2005

New Aspects in Neurocomputing.
Neurocomputing, 2005

Magnification control in winner relaxing neural gas.
Neurocomputing, 2005

Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Generalized Relevance LVQ with Correlation Measures for Biological Data.
Proceedings of the ESANN 2005, 2005

Classification using non-standard metrics.
Proceedings of the ESANN 2005, 2005

Relevance learning for mental disease classification.
Proceedings of the ESANN 2005, 2005

2004
Evolutionary algorithms with neighborhood cooperativeness according to neural maps.
Neurocomputing, 2004

Special issue on new aspects in neurocomputing.
Neurocomputing, 2004

Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Relevance LVQ versus SVM.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Theory and applications of neural maps.
Proceedings of the ESANN 2004, 2004

2003
Neural maps in remote sensing image analysis.
Neural Networks, 2003

Mathematical Aspects of Neural Networks.
Proceedings of the ESANN 2003, 2003

2002
Generalized relevance learning vector quantization.
Neural Networks, 2002

Neural maps for faithful data modelling in medicine - state-of-the-art and exemplary applications.
Neurocomputing, 2002

Evolutionary algorithms using a neural network like migration scheme.
Integrated Computer-Aided Engineering, 2002

Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach.
Proceedings of the Parallel Problem Solving from Nature, 2002

Learning Vector Quantization for Multimodal Data.
Proceedings of the Artificial Neural Networks, 2002

Rule Extraction from Self-Organizing Networks.
Proceedings of the Artificial Neural Networks, 2002

Exploratory Data Analysis in Medicine and Bioinformatics.
Proceedings of the ESANN 2002, 2002

Batch-RLVQ.
Proceedings of the ESANN 2002, 2002

2001
Estimating Relevant Input Dimensions for Self-organizing Algorithms.
Proceedings of the Advances in Self-Organising Maps, 2001

Clustering of Categoric Data in Medicine - Application of Evolutionary Algorithms.
Proceedings of the Computational Intelligence, 2001

Evolutionary algorithms and neural networks in hybrid systems.
Proceedings of the ESANN 2001, 2001

Input pruning for neural gas architectures.
Proceedings of the ESANN 2001, 2001

2000
Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps.
Proceedings of the Medical Data Analysis, First International Symposium, 2000

Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Neural networks approaches in medicine - a review of actual developments.
Proceedings of the ESANN 2000, 2000

Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Neural maps and topographic vector quantization.
Neural Networks, 1999

Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processing.
Proceedings of the ESANN 1999, 1999

1998
Applications of the growing self-organizing map.
Neurocomputing, 1998

Evolutionary Algorithms with Self-Organizing Population Dynamic for Clustering of Categories in Psychotherapy Research Using Large Clinical Data Sets.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Magnification control in neural maps.
Proceedings of the ESANN 1998, 1998

1997
Topology preservation in self-organizing feature maps: exact definition and measurement.
IEEE Trans. Neural Networks, 1997

Growing a hypercubical output space in a self-organizing feature map.
IEEE Trans. Neural Networks, 1997

Time behavior of topological ordering in self-organizing feature mapping.
Biological Cybernetics, 1997

Vector Quantization by Optimal Neural Gas.
Proceedings of the Artificial Neural Networks, 1997

Application of Evolutionary Algorithms to the Problem of New Clustering of Psychological Categories Using Real Clinical Data Sets.
Proceedings of the Computational Intelligence, 1997

Measuring topology preservation in maps of real-world data.
Proceedings of the ESANN 1997, 1997

1996
Topologieerhaltung in selbstorganisierenden neuronalen Merkmalskarten.
PhD thesis, 1996

Hierarchical Strategy of Model Partitioning for VLSI-Design Using an Improved Mixture of Experts Approach.
Proceedings of the Tenth Workshop on Parallel and Distributed Simulation, 1996

1994
Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement.
Proceedings of the Fuzzy Logik, 1994

1993
Dynamics of Self-Organized Feature Mapping.
Proceedings of the New Trends in Neural Computation, 1993


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