Search results for "Frank-Michael Schleif"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl	Limited Rank Matrix Learning, discriminative dimension reduction and visualization.	Neural Networks	2012	DBLP DOI BibTeX RDF
1	Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu	White Box Classification of Dissimilarity Data.	HAIS	2012	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider	Efficient Kernelized Prototype Based Classification.	Int. J. Neural Syst.	2011	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, T. Riemer, U. Börner, L. Schnapka-Hille, M. Cross	Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications.	Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer	Supervised learning of short and high-dimensional temporal sequences for life science measurements	CoRR	2011	DBLP BibTeX RDF
1	Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl	Divergence-based classification in learning vector quantization.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	John A. Lee, Frank-Michael Schleif, Thomas Martinetz	Advances in artificial neural networks, machine learning, and computational intelligence.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer	Accelerating Kernel Neural Gas.	ICANN	2011	DBLP DOI BibTeX RDF
1	Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu	Accelerating kernel clustering for biomedical data analysis.	CIBCB	2011	DBLP DOI BibTeX RDF
1	Barbara Hammer, Frank-Michael Schleif, Xibin Zhu	Relational Extensions of Learning Vector Quantization.	ICONIP	2011	DBLP DOI BibTeX RDF
1	Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann	Multivariate class labeling in Robust Soft LVQ.	ESANN	2011	DBLP BibTeX RDF
1	Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann	Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.	ESANN	2011	DBLP BibTeX RDF
1	Udo Seiffert, Frank-Michael Schleif, Dietlind Zühlke	Recent trends in computational intelligence in life sciences.	ESANN	2011	DBLP BibTeX RDF
1	Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu	Topographic Mapping of Dissimilarity Data.	WSOM	2011	DBLP DOI BibTeX RDF
1	Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer	Linear Time Heuristics for Topographic Mapping of Dissimilarity Data.	IDEAL	2011	DBLP DOI BibTeX RDF
1	Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu	Prototype-Based Classification of Dissimilarity Data.	IDA	2011	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif	Sparse kernelized vector quantization with local dependencies.	IJCNN	2011	DBLP DOI BibTeX RDF
1	Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints.	Knowl. Inf. Syst.	2010	DBLP DOI BibTeX RDF
1	Cecilio Angulo, John A. Lee, Frank-Michael Schleif	Advances in computational intelligence and learning (ESANN 2009).	Neurocomputing	2010	DBLP DOI BibTeX RDF
1	Dietlind Zühlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann	Learning vector quantization for heterogeneous structured data.	ESANN	2010	DBLP BibTeX RDF
1	Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl	Divergence based Learning Vector Quantization.	ESANN	2010	DBLP BibTeX RDF
1	Thomas Villmann, Frank-Michael Schleif, Barbara Hammer	Sparse representation of data.	ESANN	2010	DBLP BibTeX RDF
1	Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer	Divergence Based Online Learning in Vector Quantization.	ICAISC	2010	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl	Generalized Derivative Based Kernelized Learning Vector Quantization.	IDEAL	2010	DBLP DOI BibTeX RDF
1	Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl	The Mathematics of Divergence Based Online Learning in Vector Quantization.	ANNPR	2010	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman	Cancer informatics by prototype networks in mass spectrometry.	Artificial Intelligence in Medicine	2009	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Michael Biehl, Alfredo Vellido	Advances in machine learning and computational intelligence.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Matthias Ongyerth	Supervised data analysis and reliability estimation with exemplary application for spectral data.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Prototype Based Classification in Bioinformatics.	Encyclopedia of Artificial Intelligence	2009	DBLP BibTeX RDF
1	Marc Strickert, Frank-Michael Schleif, Thomas Villmann, Udo Seiffert	Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data.	Similarity-Based Clustering	2009	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann	Neural Maps and Learning Vector Quantization - Theory and Applications.	ESANN	2009	DBLP BibTeX RDF
1	Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner	Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure.	ICMLA	2009	DBLP DOI BibTeX RDF	Evolving Tree, SOM, Mass Spectrometry
1	Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa	Hierarchical PCA Using Tree-SOM for the Identification of Bacteria.	WSOM	2009	DBLP DOI BibTeX RDF	tree som, bacteria identification, hierarchical PCA, unsupervised feature selection, mass spectrometry
1	Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl	Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.	IWANN	2009	DBLP DOI BibTeX RDF	adaptive Mahalanobis distance, LDA
1	Marc Strickert, Frank-Michael Schleif, Udo Seiffert, Thomas Villmann	Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data.	Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial	2008	DBLP BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Prototype based fuzzy classification in clinical proteomics.	Int. J. Approx. Reasoning	2008	DBLP DOI BibTeX RDF
1	Thomas Villmann, Frank-Michael Schleif, Markus Kostrzewa, Axel Walch, Barbara Hammer	Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.	Briefings in Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Martijn van der Werff, André M. Deelder, Rob A. E. M. Tollenaar	Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers.	Computational Intelligence in Biomedicine and Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Matthias Ongyerth, Thomas Villmann	Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy.	CBMS	2008	DBLP DOI BibTeX RDF	nuclear mag-data analysis, nuclear magnetic resonance, data analysis, sparse coding
1	Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann	Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.	ICONIP	2008	DBLP DOI BibTeX RDF	similarity data, neural gas, kMeans, message passing, Cluster algorithm, Kolmogorov complexity, spectral clustering
1	Marc Strickert, Frank-Michael Schleif, Thomas Villmann	Metric adaptation for supervised attribute rating.	ESANN	2008	DBLP BibTeX RDF
1	Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl	Generalized matrix learning vector quantizer for the analysis of spectral data.	ESANN	2008	DBLP BibTeX RDF
1	Frank-Michael Schleif, Barbara Hammer, Thomas Villmann	Margin-based active learning for LVQ networks.	Neurocomputing	2007	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif	Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik.	KI	2007	DBLP BibTeX RDF
1	Frank-Michael Schleif	Advances in pre-processing and model generation for mass spectrometric data analysis.	Similarity-based Clustering and its Application to Medicine and Biology	2007	DBLP BibTeX RDF
1	Marc Gerhard, Soren-Oliver Deininger, Frank-Michael Schleif	Statistical Classification and Visualization of MALDI-Imaging Data.	CBMS	2007	DBLP DOI BibTeX RDF	maldi imaging, class imaging, clinical proteomics, data analysis
1	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	DBLP BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps.	WILF	2007	DBLP DOI BibTeX RDF	fuzzy visualization, clinical proteomics, spectra preprocessing, wavelet analysis, biomarker
1	Thomas Villmann, Frank-Michael Schleif, Martijn van der Werff, André M. Deelder, Rob A. E. M. Tollenaar	Association Learning in SOMs for Fuzzy-Classification.	ICMLA	2007	DBLP DOI BibTeX RDF
1	Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert	Intuitive Clustering of Biological Data.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra.	IWANN	2007	DBLP DOI BibTeX RDF	supervised neural gas, clinical proteomics, spectra preprocessing, data analysis, functional, wavelet analysis
1	Thomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer	Fuzzy Labeled Self-Organizing Map for Classification of Spectra.	IWANN	2007	DBLP DOI BibTeX RDF
1	Alexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann	Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes.	IWANN	2007	DBLP DOI BibTeX RDF
1	Thomas Villmann, Frank-Michael Schleif, Barbara Hammer	Comparison of relevance learning vector quantization with other metric adaptive classification methods.	Neural Networks	2006	DBLP DOI BibTeX RDF
1	Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann	Fuzzy classification by fuzzy labeled neural gas.	Neural Networks	2006	DBLP DOI BibTeX RDF
1	Thomas Villmann, Frank-Michael Schleif, Barbara Hammer	Prototype-based fuzzy classification with local relevance for proteomics.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif	Prototype based machine learning for clinical proteomics.		2006	RDF
1	Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer	Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps.	CBMS	2006	DBLP DOI BibTeX RDF	fuzzy visualization, clinical proteomics, biomarker
1	Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell	Prototype Based Classification Using Information Theoretic Learning.	ICONIP	2006	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Barbara Hammer, Thomas Villmann	Margin based Active Learning for LVQ Networks.	ESANN	2006	DBLP BibTeX RDF
1	Cornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert	Fuzzy image segmentation with Fuzzy Labelled Neural Gas.	ESANN	2006	DBLP BibTeX RDF
1	Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann	Learning Vector Quantization Classification with Local Relevance Determination for Medical Data.	ICAISC	2006	DBLP DOI BibTeX RDF
1	Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann	Supervised Batch Neural Gas.	ANNPR	2006	DBLP DOI BibTeX RDF
1	Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer	Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.	ANNPR	2006	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data.	WILF	2005	DBLP DOI BibTeX RDF	metric adaptation, proteomic profiling, classification, mass spectrometry, learning vector quantization
1	Thomas Villmann, Frank-Michael Schleif, Barbara Hammer	Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning.	ICMLA	2005	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer	Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data.	ICMLA	2004	DBLP BibTeX RDF

Publications of "Frank-Michael Schleif" ( http://dblp.L3S.de/Authors/Frank-Michael_Schleif )