129 Publikationen

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[129]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Metric learning for sequences in relational LVQ
Mokbel, Bassam, Metric learning for sequences in relational LVQ. Neurocomputing 169 (SI). , 2015
PUB | PDF | DOI | Download (ext.) | WoS
 
[128]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910619
High Dimensional Matrix Relevance Learning
Schleif, Frank-Michael, High Dimensional Matrix Relevance Learning. 2014 IEEE International Conference on Data Mining Workshop (). Piscataway, NJ, 2015
PUB | DOI
 
[127]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885
Large Scale Indefinite Kernel Fisher Discriminant
Schleif, Frank-Michael, Large Scale Indefinite Kernel Fisher Discriminant. Similarity-Based Pattern Recognition. Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Proceedings 9370 (). Cham, 2015
PUB | DOI
 
[126]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422
Metric and non-metric proximity transformations at linear costs
Gisbrecht, Andrej, Metric and non-metric proximity transformations at linear costs. Neurocomputing 167 (). , 2015
PUB | DOI | WoS
 
[125]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763
Sparse conformal prediction for dissimilarity data
Schleif, Frank-Michael, Sparse conformal prediction for dissimilarity data. Annals of Mathematics and Artificial Intelligence 74 (1-2). , 2015
PUB | DOI | WoS
 
[124]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann, Daniela, Learning interpretable kernelized prototype-based models. Neurocomputing 141 (). , 2014
PUB | DOI | Download (ext.) | WoS
 
[123]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730
Learning vector quantization for (dis-)similarities
Hammer, Barbara, Learning vector quantization for (dis-)similarities. NeuroComputing 131 (). , 2014
PUB | DOI | WoS
 
[122]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2690490
Correlation-based embedding of pairwise score data
Strickert, Marc, Correlation-based embedding of pairwise score data. Neurocomputing 141 (). , 2014
PUB | DOI | WoS
 
[121]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504
Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data
Zhu, Xibin, Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Lettters 49 (). , 2014
PUB | DOI | WoS
 
[120]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612731
Novel approaches in machine learning and computational intelligence
Micheli, Alessio, Novel approaches in machine learning and computational intelligence. Neurocomputing 112 (). , 2013
PUB | DOI | WoS
 
[119]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202
Sparse prototype representation by core sets
Schleif, Frank-Michael, Sparse prototype representation by core sets. IDEAL 2013 (). , 2013
PUB
 
[118]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717
Secure Semi-supervised Vector Quantization for Dissimilarity Data
Zhu, Xibin, Secure Semi-supervised Vector Quantization for Dissimilarity Data. IWANN (1) 7902 (). , 2013
PUB | DOI
 
[117]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724
Data Analysis of (Non-)Metric Proximities at Linear Costs
Schleif, Frank-Michael, Data Analysis of (Non-)Metric Proximities at Linear Costs. Proceedings of SIMBAD 2013 (). , 2013
PUB | DOI
 
[116]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701
Semi-Supervised Vector Quantization for proximity data
Zhu, Xibin, Semi-Supervised Vector Quantization for proximity data. Proceedings of ESANN 2013 (). , 2013
PUB
 
[115]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
Linear Time Relational Prototype Based Learning
Gisbrecht, Andrej, Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22 (5). , 2012
PUB | DOI | WoS | PubMed | Europe PMC
 
[114]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615745
Adaptive Learning for complex-valued data
Bunte, Kerstin, Adaptive Learning for complex-valued data. Proceedings of ESANN 2012 (). , 2012
PUB
 
[113]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898
Large margin linear discriminative visualization by Matrix Relevance Learning
Biehl, Michael, Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN (). , 2012
PUB | DOI
 
[112]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750
Fast approximated relational and kernel clustering
Schleif, Frank-Michael, Fast approximated relational and kernel clustering. Proceedings of ICPR 2012 (). , 2012
PUB
 
[111]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756
Soft Competitive Learning for large data sets
Schleif, Frank-Michael, Soft Competitive Learning for large data sets. Proceedings of MCSD 2012 (). , 2012
PUB | DOI
 
[110]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2534839
Linear Time Relational Prototype Based Learning
Gisbrecht, Andrej, Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22 (05). , 2012
PUB | DOI | WoS | PubMed | Europe PMC
 
[109]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
Learning Relevant Time Points for Time-Series Data in the Life Sciences
Schleif, Frank-Michael, Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) 7553 (). , 2012
PUB | DOI
 
[108]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
Bunte, Kerstin, Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26 (). , 2012
PUB | DOI | WoS | PubMed | Europe PMC
 
[107]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888
A Conformal Classifier for Dissimilarity Data
Schleif, Frank-Michael, A Conformal Classifier for Dissimilarity Data. AIAI (2) (). , 2012
PUB | DOI
 
[106]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910
Patch Processing for Relational Learning Vector Quantization
Zhu, Xibin, Patch Processing for Relational Learning Vector Quantization. ISNN (1) (). , 2012
PUB | DOI
 
[105]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868
White Box Classification of Dissimilarity Data
Hammer, Barbara, White Box Classification of Dissimilarity Data. HAIS (1) (). , 2012
PUB | DOI | WoS
 
[104]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905
Relevance learning for short high-dimensional time series in the life sciences
Schleif, Frank-Michael, Relevance learning for short high-dimensional time series in the life sciences. IJCNN (). , 2012
PUB | DOI
 
[103]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
Approximation techniques for clustering dissimilarity data
Zhu, Xibin, Approximation techniques for clustering dissimilarity data. Neurocomputing 90 (). , 2012
PUB | DOI | WoS
 
[102]
2011 | Preprint | Veröffentlicht | PUB-ID: 2534994
Supervised learning of short and high-dimensional temporal sequences for life science measurements
Schleif, Frank-Michael, Supervised learning of short and high-dimensional temporal sequences for life science measurements. (). , 2011
PUB | arXiv
 
[101]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480
Linear time heuristics for topographic mapping of dissimilarity data
Gisbrecht, Andrej, Linear time heuristics for topographic mapping of dissimilarity data. Intelligent Data Engineering and Automated Learning - IDEAL 2011: IDEAL 2011, 12th international conference, Norwich, UK, September 7 - 9, 2011 ; proceedings 6936 (). Berlin, Heidelberg, 2011
PUB | DOI
 
[100]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
Topographic Mapping of Dissimilarity Data
Hammer, Barbara, Topographic Mapping of Dissimilarity Data. WSOM'11 (). , 2011
PUB
 
[99]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492
Accelerating Kernel Neural Gas
Schleif, Frank-Michael, Accelerating Kernel Neural Gas. ICANN'2011 (). , 2011
PUB
 
[98]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644
Recent Trends in Computational Intelligence in Life Science
Seiffert, U., Recent Trends in Computational Intelligence in Life Science. Proceedings of ESANN 2011 (). , 2011
PUB
 
[97]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
Bunte, Kerstin, Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. Proceedings of ESANN 2011 (). , 2011
PUB
 
[96]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290045
Advances in artificial neural networks, machine learning, and computational intelligence
Lee, J. A., Advances in artificial neural networks, machine learning, and computational intelligence. Neurocomputing 74 (9). , 2011
PUB | DOI | WoS
 
[95]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980
Efficient Kernelized Prototype-based Classification
Schleif, Frank-Michael, Efficient Kernelized Prototype-based Classification. International Journal of Neural Systems 21 (06). , 2011
PUB | DOI | WoS | PubMed | Europe PMC
 
[94]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522
Accelerating dissimilarity clustering for biomedical data analysis
Gisbrecht, Andrej, Accelerating dissimilarity clustering for biomedical data analysis. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (). , 2011
PUB
 
[93]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654
Sparse Kernel Vector Quantization with Local Dependencies
Schleif, Frank-Michael, Sparse Kernel Vector Quantization with Local Dependencies. Proceedings of IJCNN 2011 (). , 2011
PUB
 
[92]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489
Divergence based classification in Learning Vector Quantization
Mwebaze, E., Divergence based classification in Learning Vector Quantization. Neurocomputing 74 (9). , 2011
PUB | DOI | WoS
 
[91]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556
Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications
Schleif, Frank-Michael, Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications. Bioinformatics 27 (4). , 2011
PUB | DOI | WoS | PubMed | Europe PMC
 
[90]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636
Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology
Schleif, Frank-Michael, Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology. Proceedings of AIA 2011 (). , 2011
PUB
 
[89]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648
Multivariate class labeling in Robust Soft LVQ
Schneider, P., Multivariate class labeling in Robust Soft LVQ. Proceedings of ESANN 2011 (). , 2011
PUB
 
[88]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626
Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging
Simmuteit, S., Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging. Proceedings of WCSB 2010 (). , 2010
PUB
 
[87]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127
Divergence Based Online Learning in Vector Quantization
Villmann, Thomas, Divergence Based Online Learning in Vector Quantization. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113 (). Berlin, Heidelberg, 2010
PUB | DOI
 
[86]
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498
Divergence based Learning Vector Quantization
Mwebaze, E., Divergence based Learning Vector Quantization. Proceedings of ESANN 2010 (). , 2010
PUB
 
[85]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630
Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach
Schleif, Frank-Michael, Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach. Proceedings of WCSB 2010 (). , 2010
PUB
 
[84]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992441
Advances in computational intelligence and learning
Angulo, C., Advances in computational intelligence and learning. NeuroComputing 73 (7-9). , 2010
PUB | DOI | WoS
 
[83]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978
Generalized derivative based Kernelized learning vector quantization
Schleif, Frank-Michael, Generalized derivative based Kernelized learning vector quantization. Intelligent Data Engineering and Automated Learning – IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings (). Berlin u.a., 2010
PUB | DOI
 
[82]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034
Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints
Simmuteit, S., Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems 25 (2). , 2010
PUB | DOI | WoS
 
[81]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623
Learning vector quantization for heterogeneous structured data
Zühlke, D., Learning vector quantization for heterogeneous structured data. Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010 (). Evere, Belgium, 2010
PUB
 
[80]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138
The Mathematics of Divergence Based Online Learning in Vector Quanitzation
Villmann, T., The Mathematics of Divergence Based Online Learning in Vector Quanitzation. ANNPR'2010 (). Berlin, Heidelberg, 2010
PUB
 
[79]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227
Sparse representation of data
Villmann, T., Sparse representation of data. ESANN'10 (). , 2010
PUB
 
[78]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984
Cancer Informatics by Prototype-networks in Mass Spectrometry
Schleif, Frank-Michael, Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine 45 (2-3). , 2009
PUB | DOI | WoS | PubMed | Europe PMC
 
[77]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551
Neural Maps and Learning Vector Quantization - Theory and Applications
Schleif, Frank-Michael, Neural Maps and Learning Vector Quantization - Theory and Applications. Proceedings of the ESANN 2009. European Symposium on Artificial Neural Networks. Advances in Computational Intelligence and Learning (). Evere, Belgium, 2009
PUB
 
[76]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570
Hierarchical PCA using Tree-SOM for the Identification of Bacteria
Simmuteit, S., Hierarchical PCA using Tree-SOM for the Identification of Bacteria. Advances in Self-Organizing Maps. Proceedings of the 7th International Workshop on Self Organizing Maps WSOM 2009. LNCS, 5629 (). Berlin, 2009
PUB | DOI
 
[75]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575
Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria
Simmuteit, S., Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria. ICOLE 2009 (). Clausthal-Zellerfeld, Germany, 2009
PUB
 
[74]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992607
Functional Vector Quantization by Neural Maps
Villmann, T., Functional Vector Quantization by Neural Maps. Proceedings of Whispers 2009 (). , 2009
PUB | DOI
 
[73]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data
Strickert, M., Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-based Clustering (). Berlin, 2009
PUB | DOI
 
[72]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992547
Advances in machine learning and computational intelligence
Schleif, Frank-Michael, Advances in machine learning and computational intelligence. NeuroComputing 72 (7-9). , 2009
PUB | DOI | WoS
 
[71]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580
Matrix metric adaptation for improved linear discriminant analysis of biomedical data
Strickert, M., Matrix metric adaptation for improved linear discriminant analysis of biomedical data. Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Proceedings. LNCS, 5517 Part 1 (). Berlin, 2009
PUB | DOI
 
[70]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992526
Supervised data analysis and reliability estimation for spectral data
Schleif, Frank-Michael, Supervised data analysis and reliability estimation for spectral data. NeuroComputing 72 (16-18). , 2009
PUB | DOI | WoS
 
[69]
2009 | Report | Veröffentlicht | PUB-ID: 1993316
Stationarity of Matrix Relevance Learning Vector Quantization
Biehl, M., Stationarity of Matrix Relevance Learning Vector Quantization. (). Leipzig, 2009
PUB
 
[68]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534
Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements
Schleif, Frank-Michael, Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements. ICOLE 2009 (). Clausthal-Zellerfeld, Germany, 2009
PUB
 
[67]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565
Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure
Simmuteit, S., Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure. Proceedings of ICMLA 2009 (). , 2009
PUB | DOI
 
[66]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517
Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform
Schleif, Frank-Michael, Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform. Computing and Visualization in Science 12 (4). , 2009
PUB | DOI
 
[65]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939
Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics
Schleif, Frank-Michael, Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics. Encyclopedia of Artificial Intelligence (). , 2008
PUB
 
[64]
2008 | Report | Veröffentlicht | PUB-ID: 1993379
Discriminative Visualization by Limited Rank Matrix Learning
Bunte, K., Discriminative Visualization by Limited Rank Matrix Learning. (). Leipzig, 2008
PUB
 
[63]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992530
Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy
Schleif, Frank-Michael, Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy. Proceedings of the CBMS 2008 (). , 2008
PUB | DOI
 
[62]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554
Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data
Schneider, P., Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008 (). Evere, Belgium, 2008
PUB
 
[61]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597
Metric adaptation for supervised attribute rating
Strickert, M., Metric adaptation for supervised attribute rating. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008 (). Evere, Belgium, 2008
PUB
 
[60]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966
Prototype based Fuzzy Classification in Clinical Proteomics
Schleif, Frank-Michael, Prototype based Fuzzy Classification in Clinical Proteomics. International Journal of Approximate Reasoning 47 (1). , 2008
PUB | DOI | WoS
 
[59]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900
Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers
Schleif, Frank-Michael, Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (). Berlin, 2008
PUB | DOI
 
[58]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539
Automatic Identification and Quantification of Metabolites in H-NMR Measurements
Schleif, Frank-Michael, Automatic Identification and Quantification of Metabolites in H-NMR Measurements. Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008 (). , 2008
PUB
 
[57]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data
Strickert, M., Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Ibero-American Journal of Artificial Intelligence 37 (12). , 2008
PUB
 
[56]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
Villmann, Thomas, Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics 9 (2). , 2008
PUB | DOI | WoS | PubMed | Europe PMC
 
[55]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617
Fuzzy Classification Using Information Theoretic Learning Vector Quantization
Villmann, Th., Fuzzy Classification Using Information Theoretic Learning Vector Quantization. Neurocomputing 71 (16-18). , 2008
PUB | DOI | WoS
 
[54]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836
Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity
Geweniger, T., Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity. ICONIP 2008 (). Berlin, Heidelberg, 2008
PUB | DOI
 
[53]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOM
Villmann, Thomas, Class imaging of hyperspectral satellite remote sensing data using FLSOM. Proceedings of 6th International Workshop on Self-Organizing Maps (). Bielefeld, 2007
PUB | DOI
 
[52]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data
Schneider, Petra, Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data. Proceedings of 6th International Workshop on Self-Organizing Maps (). Bielefeld, 2007
PUB | DOI
 
[51]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547
Intuitive Clustering of Biological Data
Hammer, Barbara, Intuitive Clustering of Biological Data. Proceedings of International Joint Conference on Neural Networks (). , 2007
PUB | DOI
 
[50]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852
Advances in pre-processing and model generation for mass spectrometric data analysis
Schleif, Frank-Michael, Advances in pre-processing and model generation for mass spectrometric data analysis. Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings (07131). Dagstuhl, Germany, 2007
PUB
 
[49]
2007 | Report | Veröffentlicht | PUB-ID: 1993922
Aggregation of multiple peak lists by use of an improved neural gas network
Schleif, Frank-Michael, Aggregation of multiple peak lists by use of an improved neural gas network. (). Leipzig, 2007
PUB
 
[48]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602
Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data
Strickert, M., Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data. Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400 (). , 2007
PUB | DOI
 
[47]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps
Schleif, Frank-Michael, Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps. Application of Fuzzy Sets Theory. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications. LNAI 4578 (). Berlin, Heidelberg, 2007
PUB | DOI
 
[46]
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509
Prototypen basiertes maschinelles Lernen in der klinischen Proteomik
Schleif, Frank-Michael, Prototypen basiertes maschinelles Lernen in der klinischen Proteomik. Ausgezeichnete Informatikdissertationen 2006 7 (). Bonn, 2007
PUB
 
[45]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911
Margin based Active Learning for LVQ Networks
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Neurocomputing 70 (7-9). , 2007
PUB | DOI | WoS
 
[44]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507
Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik
Schleif, Frank-Michael, Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik. KI - Künstliche Intelligenz (4). , 2007
PUB
 
[43]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992610
Association learning in SOMs for Fuzzy-Classification
Villmann, T., Association learning in SOMs for Fuzzy-Classification. 6th International Conference on Machine Learning and Applications, 2007. (). , 2007
PUB | DOI
 
[42]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616
Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS
Villmann, T., Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS. Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN) 2007 (). Evere, Belgium, 2007
PUB
 
[41]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811
Neural gas clustering for dissimilarity data with continuous prototypes
Hasenfuss, A., Neural gas clustering for dissimilarity data with continuous prototypes. Computational and Ambient Intelligence – Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS 4507 (). Berlin, 2007
PUB | DOI
 
[40]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452
Statistical Classification and Visualization of MALDI-Imaging Data
Deininger, S.-O., Statistical Classification and Visualization of MALDI-Imaging Data. Proc. of CBMS 2007 (). , 2007
PUB
 
[39]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258
Fuzzy Labeled Self Organizing Map for Clasification of Spectra
Villmann, T., Fuzzy Labeled Self Organizing Map for Clasification of Spectra. Computational and Ambient Intelligence. Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS, 4507 (). Berlin, 2007
PUB | DOI
 
[38]
2007 | Report | Veröffentlicht | PUB-ID: 1992505
Preprocessing of Nuclear Magnetic Resonance Spectrometry Data
Schleif, Frank-Michael, Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. (). Leipzig, 2007
PUB
 
[37]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586
Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments
Strickert, M., Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments. Proc. of MLSB 2007 (). , 2007
PUB
 
[36]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593
Gradients of Pearson Correlation for Analysis of Biomedical Data
Strickert, M., Gradients of Pearson Correlation for Analysis of Biomedical Data. Proc. of ASAI 2007 (). , 2007
PUB
 
[35]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820
Neural gas clustering for sparse proximity data
Hasenfuss, A., Neural gas clustering for sparse proximity data. Proceedings of the 9th International Work-Conference on Artificial Neural Networks.LNCS 4507 (). Berlin, Heidelberg, Germany, 2007
PUB
 
[34]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907
Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra
Schleif, Frank-Michael, Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra. Computational and Ambient Intelligence. Proceedings of the 9th International Work-Conference on Artificial Neural Networks. LNCS, 4507 (). Berlin, Heidelberg, 2007
PUB | DOI
 
[33]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184
Prototype based classification using information theoretic learning
Villmann, Th., Prototype based classification using information theoretic learning. Neural Information Processing, 13th International Conference. Proceedings Part II (). Berlin, 2006
PUB
 
[32]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
Villmann, T., Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (). Berlin, 2006
PUB | DOI
 
[31]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578
Supervised Batch Neural Gas
Hammer, Barbara, Supervised Batch Neural Gas. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR) (). Berlin, 2006
PUB | DOI
 
[30]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895
Margin based Active Learning for LVQ Networks
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, Belgium, 2006
PUB
 
[29]
2006 | Dissertation | PUB-ID: 1992511
Prototype based Machine Learning for Clinical Proteomics
Schleif, Frank-Michael, Prototype based Machine Learning for Clinical Proteomics. (). Clausthal-Zellerfeld, Germany, 2006
PUB
 
[28]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889
Machine Learning and Soft-Computing in Bioinformatics. A Short Journey
Schleif, Frank-Michael, Machine Learning and Soft-Computing in Bioinformatics. A Short Journey. Proc. of FLINS 2006 (). , 2006
PUB
 
[27]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237
Comparison of relevance learning vector quantization with other metric adaptive classification methods
Villmann, T., Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks 19 (5). , 2006
PUB | DOI | WoS | PubMed | Europe PMC
 
[26]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568
Supervised median neural gas
Hammer, Barbara, Supervised median neural gas. Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16 (). , 2006
PUB
 
[25]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594
Supervised median clustering
Hammer, Barbara, Supervised median clustering. Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006) (). New York, NY, 2006
PUB
 
[24]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878
Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps
Schleif, Frank-Michael, Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps. 19th IEEE International Symposium on Computer- based Medical Systems (). Los Alamitos, 2006
PUB | DOI
 
[23]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445
Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas
Brüß, C., Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. Proc. of ESANN 2006 (). , 2006
PUB
 
[22]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195
Fuzzy Classification by Fuzzy Labeled Neural Gas
Villmann, T., Fuzzy Classification by Fuzzy Labeled Neural Gas. Neural Networks 19 (6-7). , 2006
PUB | DOI | WoS | PubMed | Europe PMC
 
[21]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241
Prototype-based fuzzy classification with local relevance for proteomics
Villmann, T., Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69 (16-18). , 2006
PUB | DOI | WoS
 
[20]
2006 | Report | Veröffentlicht | PUB-ID: 1993584
Supervised median clustering
Hammer, Barbara, Supervised median clustering. (). Clausthal-Zellerfeld, 2006
PUB
 
[19]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225
Learning vector quantization classification with local relevance determination for medical data
Hammer, Barbara, Learning vector quantization classification with local relevance determination for medical data. Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029 (). Berlin, Heidelberg, 2006
PUB | DOI
 
[18]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172
Fuzzy Labeled Neural GAS for Fuzzy Classification
Villmann, Th., Fuzzy Labeled Neural GAS for Fuzzy Classification. Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM] (). Paris, France, 2005
PUB
 
[17]
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513
Plugins mit wxWidgets
Schleif, Frank-Michael, Plugins mit wxWidgets. Offene Systeme 2005 (1). , 2005
PUB
 
[16]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219
Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization
Villmann, T., Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization. International Workshop on Integrative Bioinformatics (). , 2005
PUB
 
[15]
2005 | Report | Veröffentlicht | PUB-ID: 1993675
On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination
Hammer, Barbara, On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. (). Clausthal-Zellerfeld, 2005
PUB
 
[14]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249
Fuzzy labeled soft nearest neighbor classification with relevance learning
Villmann, T., Fuzzy labeled soft nearest neighbor classification with relevance learning. Proceedings of the International Conference of Machine Learning Applications (). Los Angeles, 2005
PUB
 
[13]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data
Schleif, Frank-Michael, Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. Proceedings of the 6th Workshop on Fuzzy Logic and Applications (). Berlin, Heidelberg, 2005
PUB | DOI
 
[12]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168
Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection
Villmann, T., Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection. Proceedings of Selbstorganisation Von Adaptivem Verfahren. Fortschritts-Berichte VDI Reihe 10, Nr. 742 (). , 2004
PUB
 
[11]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212
Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection
Villmann, T., Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior (). , 2004
PUB
 
[10]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870
Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data
Schleif, Frank-Michael, Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data. Proceedings of the 3rd International Conference on Machine Learning and Applications (ICMLA) 2004 (). Los Alamitos, CA, USA, 2004
PUB
 
[9]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223
Supervised Neural Gas and Relevance Learning in Learning Vector Quantization
Villmann, Th., Supervised Neural Gas and Relevance Learning in Learning Vector Quantization. Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM] (). Hibikino, Kitakyushu, Japan, 2003
PUB
 
[8]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477
A mission for the EEG coherence analysis: Is the task complex or difficult?
Köhler, M., A mission for the EEG coherence analysis: Is the task complex or difficult?. Brain Topography 15 (4). , 2003
PUB
 
[7]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456
Working memory load and EEG coherence
Dörfler, T., Working memory load and EEG coherence. Brain Topography 15 (4). , 2003
PUB
 
[6]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466
A distributed logistic support communication system
Gruhn, V., A distributed logistic support communication system. Proceedings of ISD 2003 - Constructing the Infrastructure for the Knowledge Economy - Methods and Tools, Theory and Practice (). London, 2003
PUB
 
[5]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544
{LaTeX} im studentischen Alltag
Schleif, Frank-Michael, {LaTeX} im studentischen Alltag. Gaotenblatt (). , 2002
PUB
 
[4]
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483
Complexity and difficulty in memory based comparison
Köhler, M., Complexity and difficulty in memory based comparison. Proceedings of the 18th Meeting of the International Society for Psychophysics (). , 2002
PUB
 
[3]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515
OCR mit statistischen Momenten
Schleif, Frank-Michael, OCR mit statistischen Momenten. Gaotenblatt 2002 (). , 2002
PUB
 
[2]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560
An analysis of connections between internal and external learning process indicators using EEG coherence analysis
Simmel, A., An analysis of connections between internal and external learning process indicators using EEG coherence analysis. Proceedings of the 17th Meeting of the International Society for Psychophysics (). , 2001
PUB
 
[1]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461
Complexity - dependent synchronization of brain subsystems during memorization
Dörfler, T., Complexity - dependent synchronization of brain subsystems during memorization. Proceedings of the 17th Meeting of the International Society for Psychophysics (). , 2001
PUB
 

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[129]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Metric learning for sequences in relational LVQ
Mokbel, Bassam, Metric learning for sequences in relational LVQ. Neurocomputing 169 (SI). , 2015
PUB | PDF | DOI | Download (ext.) | WoS
 
[128]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910619
High Dimensional Matrix Relevance Learning
Schleif, Frank-Michael, High Dimensional Matrix Relevance Learning. 2014 IEEE International Conference on Data Mining Workshop (). Piscataway, NJ, 2015
PUB | DOI
 
[127]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885
Large Scale Indefinite Kernel Fisher Discriminant
Schleif, Frank-Michael, Large Scale Indefinite Kernel Fisher Discriminant. Similarity-Based Pattern Recognition. Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Proceedings 9370 (). Cham, 2015
PUB | DOI
 
[126]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422
Metric and non-metric proximity transformations at linear costs
Gisbrecht, Andrej, Metric and non-metric proximity transformations at linear costs. Neurocomputing 167 (). , 2015
PUB | DOI | WoS
 
[125]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763
Sparse conformal prediction for dissimilarity data
Schleif, Frank-Michael, Sparse conformal prediction for dissimilarity data. Annals of Mathematics and Artificial Intelligence 74 (1-2). , 2015
PUB | DOI | WoS
 
[124]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann, Daniela, Learning interpretable kernelized prototype-based models. Neurocomputing 141 (). , 2014
PUB | DOI | Download (ext.) | WoS
 
[123]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730
Learning vector quantization for (dis-)similarities
Hammer, Barbara, Learning vector quantization for (dis-)similarities. NeuroComputing 131 (). , 2014
PUB | DOI | WoS
 
[122]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2690490
Correlation-based embedding of pairwise score data
Strickert, Marc, Correlation-based embedding of pairwise score data. Neurocomputing 141 (). , 2014
PUB | DOI | WoS
 
[121]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504
Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data
Zhu, Xibin, Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Lettters 49 (). , 2014
PUB | DOI | WoS
 
[120]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612731
Novel approaches in machine learning and computational intelligence
Micheli, Alessio, Novel approaches in machine learning and computational intelligence. Neurocomputing 112 (). , 2013
PUB | DOI | WoS
 
[119]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202
Sparse prototype representation by core sets
Schleif, Frank-Michael, Sparse prototype representation by core sets. IDEAL 2013 (). , 2013
PUB
 
[118]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717
Secure Semi-supervised Vector Quantization for Dissimilarity Data
Zhu, Xibin, Secure Semi-supervised Vector Quantization for Dissimilarity Data. IWANN (1) 7902 (). , 2013
PUB | DOI
 
[117]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724
Data Analysis of (Non-)Metric Proximities at Linear Costs
Schleif, Frank-Michael, Data Analysis of (Non-)Metric Proximities at Linear Costs. Proceedings of SIMBAD 2013 (). , 2013
PUB | DOI
 
[116]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701
Semi-Supervised Vector Quantization for proximity data
Zhu, Xibin, Semi-Supervised Vector Quantization for proximity data. Proceedings of ESANN 2013 (). , 2013
PUB
 
[115]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
Linear Time Relational Prototype Based Learning
Gisbrecht, Andrej, Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22 (5). , 2012
PUB | DOI | WoS | PubMed | Europe PMC
 
[114]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615745
Adaptive Learning for complex-valued data
Bunte, Kerstin, Adaptive Learning for complex-valued data. Proceedings of ESANN 2012 (). , 2012
PUB
 
[113]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898
Large margin linear discriminative visualization by Matrix Relevance Learning
Biehl, Michael, Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN (). , 2012
PUB | DOI
 
[112]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750
Fast approximated relational and kernel clustering
Schleif, Frank-Michael, Fast approximated relational and kernel clustering. Proceedings of ICPR 2012 (). , 2012
PUB
 
[111]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756
Soft Competitive Learning for large data sets
Schleif, Frank-Michael, Soft Competitive Learning for large data sets. Proceedings of MCSD 2012 (). , 2012
PUB | DOI
 
[110]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2534839
Linear Time Relational Prototype Based Learning
Gisbrecht, Andrej, Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22 (05). , 2012
PUB | DOI | WoS | PubMed | Europe PMC
 
[109]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
Learning Relevant Time Points for Time-Series Data in the Life Sciences
Schleif, Frank-Michael, Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) 7553 (). , 2012
PUB | DOI
 
[108]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
Bunte, Kerstin, Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26 (). , 2012
PUB | DOI | WoS | PubMed | Europe PMC
 
[107]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888
A Conformal Classifier for Dissimilarity Data
Schleif, Frank-Michael, A Conformal Classifier for Dissimilarity Data. AIAI (2) (). , 2012
PUB | DOI
 
[106]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910
Patch Processing for Relational Learning Vector Quantization
Zhu, Xibin, Patch Processing for Relational Learning Vector Quantization. ISNN (1) (). , 2012
PUB | DOI
 
[105]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868
White Box Classification of Dissimilarity Data
Hammer, Barbara, White Box Classification of Dissimilarity Data. HAIS (1) (). , 2012
PUB | DOI | WoS
 
[104]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905
Relevance learning for short high-dimensional time series in the life sciences
Schleif, Frank-Michael, Relevance learning for short high-dimensional time series in the life sciences. IJCNN (). , 2012
PUB | DOI
 
[103]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
Approximation techniques for clustering dissimilarity data
Zhu, Xibin, Approximation techniques for clustering dissimilarity data. Neurocomputing 90 (). , 2012
PUB | DOI | WoS
 
[102]
2011 | Preprint | Veröffentlicht | PUB-ID: 2534994
Supervised learning of short and high-dimensional temporal sequences for life science measurements
Schleif, Frank-Michael, Supervised learning of short and high-dimensional temporal sequences for life science measurements. (). , 2011
PUB | arXiv
 
[101]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480
Linear time heuristics for topographic mapping of dissimilarity data
Gisbrecht, Andrej, Linear time heuristics for topographic mapping of dissimilarity data. Intelligent Data Engineering and Automated Learning - IDEAL 2011: IDEAL 2011, 12th international conference, Norwich, UK, September 7 - 9, 2011 ; proceedings 6936 (). Berlin, Heidelberg, 2011
PUB | DOI
 
[100]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
Topographic Mapping of Dissimilarity Data
Hammer, Barbara, Topographic Mapping of Dissimilarity Data. WSOM'11 (). , 2011
PUB
 
[99]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492
Accelerating Kernel Neural Gas
Schleif, Frank-Michael, Accelerating Kernel Neural Gas. ICANN'2011 (). , 2011
PUB
 
[98]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644
Recent Trends in Computational Intelligence in Life Science
Seiffert, U., Recent Trends in Computational Intelligence in Life Science. Proceedings of ESANN 2011 (). , 2011
PUB
 
[97]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
Bunte, Kerstin, Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. Proceedings of ESANN 2011 (). , 2011
PUB
 
[96]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290045
Advances in artificial neural networks, machine learning, and computational intelligence
Lee, J. A., Advances in artificial neural networks, machine learning, and computational intelligence. Neurocomputing 74 (9). , 2011
PUB | DOI | WoS
 
[95]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980
Efficient Kernelized Prototype-based Classification
Schleif, Frank-Michael, Efficient Kernelized Prototype-based Classification. International Journal of Neural Systems 21 (06). , 2011
PUB | DOI | WoS | PubMed | Europe PMC
 
[94]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522
Accelerating dissimilarity clustering for biomedical data analysis
Gisbrecht, Andrej, Accelerating dissimilarity clustering for biomedical data analysis. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (). , 2011
PUB
 
[93]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654
Sparse Kernel Vector Quantization with Local Dependencies
Schleif, Frank-Michael, Sparse Kernel Vector Quantization with Local Dependencies. Proceedings of IJCNN 2011 (). , 2011
PUB
 
[92]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489
Divergence based classification in Learning Vector Quantization
Mwebaze, E., Divergence based classification in Learning Vector Quantization. Neurocomputing 74 (9). , 2011
PUB | DOI | WoS
 
[91]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556
Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications
Schleif, Frank-Michael, Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications. Bioinformatics 27 (4). , 2011
PUB | DOI | WoS | PubMed | Europe PMC
 
[90]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636
Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology
Schleif, Frank-Michael, Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology. Proceedings of AIA 2011 (). , 2011
PUB
 
[89]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648
Multivariate class labeling in Robust Soft LVQ
Schneider, P., Multivariate class labeling in Robust Soft LVQ. Proceedings of ESANN 2011 (). , 2011
PUB
 
[88]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626
Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging
Simmuteit, S., Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging. Proceedings of WCSB 2010 (). , 2010
PUB
 
[87]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127
Divergence Based Online Learning in Vector Quantization
Villmann, Thomas, Divergence Based Online Learning in Vector Quantization. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113 (). Berlin, Heidelberg, 2010
PUB | DOI
 
[86]
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498
Divergence based Learning Vector Quantization
Mwebaze, E., Divergence based Learning Vector Quantization. Proceedings of ESANN 2010 (). , 2010
PUB
 
[85]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630
Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach
Schleif, Frank-Michael, Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach. Proceedings of WCSB 2010 (). , 2010
PUB
 
[84]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992441
Advances in computational intelligence and learning
Angulo, C., Advances in computational intelligence and learning. NeuroComputing 73 (7-9). , 2010
PUB | DOI | WoS
 
[83]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978
Generalized derivative based Kernelized learning vector quantization
Schleif, Frank-Michael, Generalized derivative based Kernelized learning vector quantization. Intelligent Data Engineering and Automated Learning – IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings (). Berlin u.a., 2010
PUB | DOI
 
[82]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034
Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints
Simmuteit, S., Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems 25 (2). , 2010
PUB | DOI | WoS
 
[81]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623
Learning vector quantization for heterogeneous structured data
Zühlke, D., Learning vector quantization for heterogeneous structured data. Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010 (). Evere, Belgium, 2010
PUB
 
[80]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138
The Mathematics of Divergence Based Online Learning in Vector Quanitzation
Villmann, T., The Mathematics of Divergence Based Online Learning in Vector Quanitzation. ANNPR'2010 (). Berlin, Heidelberg, 2010
PUB
 
[79]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227
Sparse representation of data
Villmann, T., Sparse representation of data. ESANN'10 (). , 2010
PUB
 
[78]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984
Cancer Informatics by Prototype-networks in Mass Spectrometry
Schleif, Frank-Michael, Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine 45 (2-3). , 2009
PUB | DOI | WoS | PubMed | Europe PMC
 
[77]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551
Neural Maps and Learning Vector Quantization - Theory and Applications
Schleif, Frank-Michael, Neural Maps and Learning Vector Quantization - Theory and Applications. Proceedings of the ESANN 2009. European Symposium on Artificial Neural Networks. Advances in Computational Intelligence and Learning (). Evere, Belgium, 2009
PUB
 
[76]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570
Hierarchical PCA using Tree-SOM for the Identification of Bacteria
Simmuteit, S., Hierarchical PCA using Tree-SOM for the Identification of Bacteria. Advances in Self-Organizing Maps. Proceedings of the 7th International Workshop on Self Organizing Maps WSOM 2009. LNCS, 5629 (). Berlin, 2009
PUB | DOI
 
[75]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575
Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria
Simmuteit, S., Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria. ICOLE 2009 (). Clausthal-Zellerfeld, Germany, 2009
PUB
 
[74]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992607
Functional Vector Quantization by Neural Maps
Villmann, T., Functional Vector Quantization by Neural Maps. Proceedings of Whispers 2009 (). , 2009
PUB | DOI
 
[73]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data
Strickert, M., Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-based Clustering (). Berlin, 2009
PUB | DOI
 
[72]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992547
Advances in machine learning and computational intelligence
Schleif, Frank-Michael, Advances in machine learning and computational intelligence. NeuroComputing 72 (7-9). , 2009
PUB | DOI | WoS
 
[71]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580
Matrix metric adaptation for improved linear discriminant analysis of biomedical data
Strickert, M., Matrix metric adaptation for improved linear discriminant analysis of biomedical data. Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Proceedings. LNCS, 5517 Part 1 (). Berlin, 2009
PUB | DOI
 
[70]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992526
Supervised data analysis and reliability estimation for spectral data
Schleif, Frank-Michael, Supervised data analysis and reliability estimation for spectral data. NeuroComputing 72 (16-18). , 2009
PUB | DOI | WoS
 
[69]
2009 | Report | Veröffentlicht | PUB-ID: 1993316
Stationarity of Matrix Relevance Learning Vector Quantization
Biehl, M., Stationarity of Matrix Relevance Learning Vector Quantization. (). Leipzig, 2009
PUB
 
[68]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534
Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements
Schleif, Frank-Michael, Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements. ICOLE 2009 (). Clausthal-Zellerfeld, Germany, 2009
PUB
 
[67]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565
Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure
Simmuteit, S., Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure. Proceedings of ICMLA 2009 (). , 2009
PUB | DOI
 
[66]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517
Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform
Schleif, Frank-Michael, Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform. Computing and Visualization in Science 12 (4). , 2009
PUB | DOI
 
[65]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939
Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics
Schleif, Frank-Michael, Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics. Encyclopedia of Artificial Intelligence (). , 2008
PUB
 
[64]
2008 | Report | Veröffentlicht | PUB-ID: 1993379
Discriminative Visualization by Limited Rank Matrix Learning
Bunte, K., Discriminative Visualization by Limited Rank Matrix Learning. (). Leipzig, 2008
PUB
 
[63]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992530
Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy
Schleif, Frank-Michael, Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy. Proceedings of the CBMS 2008 (). , 2008
PUB | DOI
 
[62]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554
Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data
Schneider, P., Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008 (). Evere, Belgium, 2008
PUB
 
[61]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597
Metric adaptation for supervised attribute rating
Strickert, M., Metric adaptation for supervised attribute rating. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008 (). Evere, Belgium, 2008
PUB
 
[60]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966
Prototype based Fuzzy Classification in Clinical Proteomics
Schleif, Frank-Michael, Prototype based Fuzzy Classification in Clinical Proteomics. International Journal of Approximate Reasoning 47 (1). , 2008
PUB | DOI | WoS
 
[59]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900
Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers
Schleif, Frank-Michael, Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (). Berlin, 2008
PUB | DOI
 
[58]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539
Automatic Identification and Quantification of Metabolites in H-NMR Measurements
Schleif, Frank-Michael, Automatic Identification and Quantification of Metabolites in H-NMR Measurements. Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008 (). , 2008
PUB
 
[57]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data
Strickert, M., Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Ibero-American Journal of Artificial Intelligence 37 (12). , 2008
PUB
 
[56]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
Villmann, Thomas, Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics 9 (2). , 2008
PUB | DOI | WoS | PubMed | Europe PMC
 
[55]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617
Fuzzy Classification Using Information Theoretic Learning Vector Quantization
Villmann, Th., Fuzzy Classification Using Information Theoretic Learning Vector Quantization. Neurocomputing 71 (16-18). , 2008
PUB | DOI | WoS
 
[54]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836
Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity
Geweniger, T., Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity. ICONIP 2008 (). Berlin, Heidelberg, 2008
PUB | DOI
 
[53]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOM
Villmann, Thomas, Class imaging of hyperspectral satellite remote sensing data using FLSOM. Proceedings of 6th International Workshop on Self-Organizing Maps (). Bielefeld, 2007
PUB | DOI
 
[52]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data
Schneider, Petra, Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data. Proceedings of 6th International Workshop on Self-Organizing Maps (). Bielefeld, 2007
PUB | DOI
 
[51]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547
Intuitive Clustering of Biological Data
Hammer, Barbara, Intuitive Clustering of Biological Data. Proceedings of International Joint Conference on Neural Networks (). , 2007
PUB | DOI
 
[50]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852
Advances in pre-processing and model generation for mass spectrometric data analysis
Schleif, Frank-Michael, Advances in pre-processing and model generation for mass spectrometric data analysis. Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings (07131). Dagstuhl, Germany, 2007
PUB
 
[49]
2007 | Report | Veröffentlicht | PUB-ID: 1993922
Aggregation of multiple peak lists by use of an improved neural gas network
Schleif, Frank-Michael, Aggregation of multiple peak lists by use of an improved neural gas network. (). Leipzig, 2007
PUB
 
[48]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602
Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data
Strickert, M., Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data. Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400 (). , 2007
PUB | DOI
 
[47]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps
Schleif, Frank-Michael, Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps. Application of Fuzzy Sets Theory. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications. LNAI 4578 (). Berlin, Heidelberg, 2007
PUB | DOI
 
[46]
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509
Prototypen basiertes maschinelles Lernen in der klinischen Proteomik
Schleif, Frank-Michael, Prototypen basiertes maschinelles Lernen in der klinischen Proteomik. Ausgezeichnete Informatikdissertationen 2006 7 (). Bonn, 2007
PUB
 
[45]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911
Margin based Active Learning for LVQ Networks
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Neurocomputing 70 (7-9). , 2007
PUB | DOI | WoS
 
[44]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507
Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik
Schleif, Frank-Michael, Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik. KI - Künstliche Intelligenz (4). , 2007
PUB
 
[43]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992610
Association learning in SOMs for Fuzzy-Classification
Villmann, T., Association learning in SOMs for Fuzzy-Classification. 6th International Conference on Machine Learning and Applications, 2007. (). , 2007
PUB | DOI
 
[42]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616
Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS
Villmann, T., Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS. Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN) 2007 (). Evere, Belgium, 2007
PUB
 
[41]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811
Neural gas clustering for dissimilarity data with continuous prototypes
Hasenfuss, A., Neural gas clustering for dissimilarity data with continuous prototypes. Computational and Ambient Intelligence – Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS 4507 (). Berlin, 2007
PUB | DOI
 
[40]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452
Statistical Classification and Visualization of MALDI-Imaging Data
Deininger, S.-O., Statistical Classification and Visualization of MALDI-Imaging Data. Proc. of CBMS 2007 (). , 2007
PUB
 
[39]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258
Fuzzy Labeled Self Organizing Map for Clasification of Spectra
Villmann, T., Fuzzy Labeled Self Organizing Map for Clasification of Spectra. Computational and Ambient Intelligence. Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS, 4507 (). Berlin, 2007
PUB | DOI
 
[38]
2007 | Report | Veröffentlicht | PUB-ID: 1992505
Preprocessing of Nuclear Magnetic Resonance Spectrometry Data
Schleif, Frank-Michael, Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. (). Leipzig, 2007
PUB
 
[37]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586
Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments
Strickert, M., Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments. Proc. of MLSB 2007 (). , 2007
PUB
 
[36]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593
Gradients of Pearson Correlation for Analysis of Biomedical Data
Strickert, M., Gradients of Pearson Correlation for Analysis of Biomedical Data. Proc. of ASAI 2007 (). , 2007
PUB
 
[35]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820
Neural gas clustering for sparse proximity data
Hasenfuss, A., Neural gas clustering for sparse proximity data. Proceedings of the 9th International Work-Conference on Artificial Neural Networks.LNCS 4507 (). Berlin, Heidelberg, Germany, 2007
PUB
 
[34]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907
Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra
Schleif, Frank-Michael, Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra. Computational and Ambient Intelligence. Proceedings of the 9th International Work-Conference on Artificial Neural Networks. LNCS, 4507 (). Berlin, Heidelberg, 2007
PUB | DOI
 
[33]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184
Prototype based classification using information theoretic learning
Villmann, Th., Prototype based classification using information theoretic learning. Neural Information Processing, 13th International Conference. Proceedings Part II (). Berlin, 2006
PUB
 
[32]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
Villmann, T., Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (). Berlin, 2006
PUB | DOI
 
[31]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578
Supervised Batch Neural Gas
Hammer, Barbara, Supervised Batch Neural Gas. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR) (). Berlin, 2006
PUB | DOI
 
[30]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895
Margin based Active Learning for LVQ Networks
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, Belgium, 2006
PUB
 
[29]
2006 | Dissertation | PUB-ID: 1992511
Prototype based Machine Learning for Clinical Proteomics
Schleif, Frank-Michael, Prototype based Machine Learning for Clinical Proteomics. (). Clausthal-Zellerfeld, Germany, 2006
PUB
 
[28]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889
Machine Learning and Soft-Computing in Bioinformatics. A Short Journey
Schleif, Frank-Michael, Machine Learning and Soft-Computing in Bioinformatics. A Short Journey. Proc. of FLINS 2006 (). , 2006
PUB
 
[27]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237
Comparison of relevance learning vector quantization with other metric adaptive classification methods
Villmann, T., Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks 19 (5). , 2006
PUB | DOI | WoS | PubMed | Europe PMC
 
[26]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568
Supervised median neural gas
Hammer, Barbara, Supervised median neural gas. Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16 (). , 2006
PUB
 
[25]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594
Supervised median clustering
Hammer, Barbara, Supervised median clustering. Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006) (). New York, NY, 2006
PUB
 
[24]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878
Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps
Schleif, Frank-Michael, Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps. 19th IEEE International Symposium on Computer- based Medical Systems (). Los Alamitos, 2006
PUB | DOI
 
[23]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445
Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas
Brüß, C., Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. Proc. of ESANN 2006 (). , 2006
PUB
 
[22]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195
Fuzzy Classification by Fuzzy Labeled Neural Gas
Villmann, T., Fuzzy Classification by Fuzzy Labeled Neural Gas. Neural Networks 19 (6-7). , 2006
PUB | DOI | WoS | PubMed | Europe PMC
 
[21]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241
Prototype-based fuzzy classification with local relevance for proteomics
Villmann, T., Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69 (16-18). , 2006
PUB | DOI | WoS
 
[20]
2006 | Report | Veröffentlicht | PUB-ID: 1993584
Supervised median clustering
Hammer, Barbara, Supervised median clustering. (). Clausthal-Zellerfeld, 2006
PUB
 
[19]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225
Learning vector quantization classification with local relevance determination for medical data
Hammer, Barbara, Learning vector quantization classification with local relevance determination for medical data. Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029 (). Berlin, Heidelberg, 2006
PUB | DOI
 
[18]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172
Fuzzy Labeled Neural GAS for Fuzzy Classification
Villmann, Th., Fuzzy Labeled Neural GAS for Fuzzy Classification. Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM] (). Paris, France, 2005
PUB
 
[17]
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513
Plugins mit wxWidgets
Schleif, Frank-Michael, Plugins mit wxWidgets. Offene Systeme 2005 (1). , 2005
PUB
 
[16]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219
Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization
Villmann, T., Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization. International Workshop on Integrative Bioinformatics (). , 2005
PUB
 
[15]
2005 | Report | Veröffentlicht | PUB-ID: 1993675
On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination
Hammer, Barbara, On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. (). Clausthal-Zellerfeld, 2005
PUB
 
[14]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249
Fuzzy labeled soft nearest neighbor classification with relevance learning
Villmann, T., Fuzzy labeled soft nearest neighbor classification with relevance learning. Proceedings of the International Conference of Machine Learning Applications (). Los Angeles, 2005
PUB
 
[13]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data
Schleif, Frank-Michael, Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. Proceedings of the 6th Workshop on Fuzzy Logic and Applications (). Berlin, Heidelberg, 2005
PUB | DOI
 
[12]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168
Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection
Villmann, T., Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection. Proceedings of Selbstorganisation Von Adaptivem Verfahren. Fortschritts-Berichte VDI Reihe 10, Nr. 742 (). , 2004
PUB
 
[11]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212
Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection
Villmann, T., Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior (). , 2004
PUB
 
[10]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870
Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data
Schleif, Frank-Michael, Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data. Proceedings of the 3rd International Conference on Machine Learning and Applications (ICMLA) 2004 (). Los Alamitos, CA, USA, 2004
PUB
 
[9]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223
Supervised Neural Gas and Relevance Learning in Learning Vector Quantization
Villmann, Th., Supervised Neural Gas and Relevance Learning in Learning Vector Quantization. Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM] (). Hibikino, Kitakyushu, Japan, 2003
PUB
 
[8]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477
A mission for the EEG coherence analysis: Is the task complex or difficult?
Köhler, M., A mission for the EEG coherence analysis: Is the task complex or difficult?. Brain Topography 15 (4). , 2003
PUB
 
[7]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456
Working memory load and EEG coherence
Dörfler, T., Working memory load and EEG coherence. Brain Topography 15 (4). , 2003
PUB
 
[6]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466
A distributed logistic support communication system
Gruhn, V., A distributed logistic support communication system. Proceedings of ISD 2003 - Constructing the Infrastructure for the Knowledge Economy - Methods and Tools, Theory and Practice (). London, 2003
PUB
 
[5]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544
{LaTeX} im studentischen Alltag
Schleif, Frank-Michael, {LaTeX} im studentischen Alltag. Gaotenblatt (). , 2002
PUB
 
[4]
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483
Complexity and difficulty in memory based comparison
Köhler, M., Complexity and difficulty in memory based comparison. Proceedings of the 18th Meeting of the International Society for Psychophysics (). , 2002
PUB
 
[3]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515
OCR mit statistischen Momenten
Schleif, Frank-Michael, OCR mit statistischen Momenten. Gaotenblatt 2002 (). , 2002
PUB
 
[2]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560
An analysis of connections between internal and external learning process indicators using EEG coherence analysis
Simmel, A., An analysis of connections between internal and external learning process indicators using EEG coherence analysis. Proceedings of the 17th Meeting of the International Society for Psychophysics (). , 2001
PUB
 
[1]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461
Complexity - dependent synchronization of brain subsystems during memorization
Dörfler, T., Complexity - dependent synchronization of brain subsystems during memorization. Proceedings of the 17th Meeting of the International Society for Psychophysics (). , 2001
PUB
 

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