Frank-Michael Schleif
fschleif@techfak.uni-bielefeld.dehttps://orcid.org/0000-0002-7539-1283
PEVZ-ID
133 Publikationen
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763Sparse conformal prediction for dissimilarity dataPUB | DOI | WoS
Schleif, Frank-Michael, Sparse conformal prediction for dissimilarity data. Annals of Mathematics and Artificial Intelligence 74 (1-2). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031Metric learning for sequences in relational LVQPUB | PDF | DOI | Download (ext.) | WoS
Mokbel, Bassam, Metric learning for sequences in relational LVQ. Neurocomputing 169 (SI). , 2015 -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885Large Scale Indefinite Kernel Fisher DiscriminantPUB | DOI
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 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910619High Dimensional Matrix Relevance LearningPUB | DOI
Schleif, Frank-Michael, High Dimensional Matrix Relevance Learning. 2014 IEEE International Conference on Data Mining Workshop (). Piscataway, NJ, 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422Metric and non-metric proximity transformations at linear costsPUB | DOI | WoS
Gisbrecht, Andrej, Metric and non-metric proximity transformations at linear costs. Neurocomputing 167 (). , 2015 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann, Daniela, Learning interpretable kernelized prototype-based models. Neurocomputing 141 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity DataPUB | DOI | WoS
Zhu, Xibin, Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters 49 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730Learning vector quantization for (dis-)similaritiesPUB | DOI | WoS
Hammer, Barbara, Learning vector quantization for (dis-)similarities. NeuroComputing 131 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2690490Correlation-based embedding of pairwise score dataPUB | DOI | WoS
Strickert, Marc, Correlation-based embedding of pairwise score data. Neurocomputing 141 (). , 2014 -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105Sparse Prototype Representation by Core SetsPUB | DOI
Schleif, Frank-Michael, Sparse Prototype Representation by Core Sets. Intelligent Data Engineering and Automated Learning – IDEAL 2013 (). Berlin, Heidelberg, 2013 -
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612731Novel approaches in machine learning and computational intelligencePUB | DOI | WoS
Micheli, Alessio, Novel approaches in machine learning and computational intelligence. Neurocomputing 112 (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202Sparse prototype representation by core setsPUB
Schleif, Frank-Michael, Sparse prototype representation by core sets. IDEAL 2013 (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717Secure Semi-supervised Vector Quantization for Dissimilarity DataPUB | DOI
Zhu, Xibin, Secure Semi-supervised Vector Quantization for Dissimilarity Data. IWANN (1) 7902 (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724Data Analysis of (Non-)Metric Proximities at Linear CostsPUB | DOI
Schleif, Frank-Michael, Data Analysis of (Non-)Metric Proximities at Linear Costs. Proceedings of SIMBAD 2013 (). Berlin, Heidelberg, 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701Semi-Supervised Vector Quantization for proximity dataPUB
Zhu, Xibin, Semi-Supervised Vector Quantization for proximity data. Proceedings of ESANN 2013 (). , 2013 -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Linear Time Relational Prototype Based LearningPUB | DOI | WoS | PubMed | Europe PMC
Gisbrecht, Andrej, Linear Time Relational Prototype Based Learning. International Journal of Neural Systems 22 (05). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615745Adaptive Learning for complex-valued dataPUB
Bunte, Kerstin, Adaptive Learning for complex-valued data. Proceedings of ESANN 2012 (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898Large margin linear discriminative visualization by Matrix Relevance LearningPUB | DOI
Biehl, Michael, Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN (). Piscataway, NJ, 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750Fast approximated relational and kernel clusteringPUB
Schleif, Frank-Michael, Fast approximated relational and kernel clustering. Proceedings of ICPR 2012 (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756Soft Competitive Learning for large data setsPUB | DOI
Schleif, Frank-Michael, Soft Competitive Learning for large data sets. Proceedings of MCSD 2012 (). Berlin, Heidelberg, 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Learning Relevant Time Points for Time-Series Data in the Life SciencesPUB | DOI
Schleif, Frank-Michael, Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) 7553 (). Berlin, Heidelberg, 2012 -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405Limited Rank Matrix Learning, discriminative dimension reduction and visualizationPUB | DOI | WoS | PubMed | Europe PMC
Bunte, Kerstin, Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26 (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888A Conformal Classifier for Dissimilarity DataPUB | DOI
Schleif, Frank-Michael, A Conformal Classifier for Dissimilarity Data. AIAI (2) (). Berlin, Heidelberg, 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910Patch Processing for Relational Learning Vector QuantizationPUB | DOI
Zhu, Xibin, Patch Processing for Relational Learning Vector Quantization. ISNN (1) (). Berlin, Heidelberg, 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868White Box Classification of Dissimilarity DataPUB | DOI | WoS
Hammer, Barbara, White Box Classification of Dissimilarity Data. HAIS (1) (). Berlin, Heidelberg, 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Relevance learning for short high-dimensional time series in the life sciencesPUB | DOI
Schleif, Frank-Michael, Relevance learning for short high-dimensional time series in the life sciences. IJCNN (). Piscataway, NJ, 2012 -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852Approximation techniques for clustering dissimilarity dataPUB | DOI | WoS
Zhu, Xibin, Approximation techniques for clustering dissimilarity data. Neurocomputing 90 (). , 2012 -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Topographic Mapping of Dissimilarity DataPUB | DOI
Hammer, Barbara, Topographic Mapping of Dissimilarity Data. Advances in Self-Organizing Maps (). Berlin, Heidelberg, 2011 -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982112Relational Extensions of Learning Vector QuantizationPUB | DOI
Hammer, Barbara, Relational Extensions of Learning Vector Quantization. Neural Information Processing (). Berlin, Heidelberg, 2011 -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111Prototype-Based Classification of Dissimilarity DataPUB | DOI
Hammer, Barbara, Prototype-Based Classification of Dissimilarity Data. Advances in Intelligent Data Analysis X (). Berlin, Heidelberg, 2011 -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982110Accelerating Kernel Neural GasPUB | DOI
Schleif, Frank-Michael, Accelerating Kernel Neural Gas. Artificial Neural Networks and Machine Learning – ICANN 2011 (). Berlin, Heidelberg, 2011 -
2011 | Preprint | Veröffentlicht | PUB-ID: 2534994Supervised learning of short and high-dimensional temporal sequences for life science measurementsPUB | arXiv
Schleif, Frank-Michael, Supervised learning of short and high-dimensional temporal sequences for life science measurements. (). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Linear time heuristics for topographic mapping of dissimilarity dataPUB | DOI
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 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Topographic Mapping of Dissimilarity DataPUB
Hammer, Barbara, Topographic Mapping of Dissimilarity Data. WSOM'11 (). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Accelerating Kernel Neural GasPUB
Schleif, Frank-Michael, Accelerating Kernel Neural Gas. ICANN'2011 (). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644Recent Trends in Computational Intelligence in Life SciencePUB
Seiffert, U., Recent Trends in Computational Intelligence in Life Science. Proceedings of ESANN 2011 (). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and VisualizationPUB
Bunte, Kerstin, Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. Proceedings of ESANN 2011 (). , 2011 -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290045Advances in artificial neural networks, machine learning, and computational intelligencePUB | DOI | WoS
Lee, J. A., Advances in artificial neural networks, machine learning, and computational intelligence. Neurocomputing 74 (9). , 2011 -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980Efficient Kernelized Prototype-based ClassificationPUB | DOI | WoS | PubMed | Europe PMC
Schleif, Frank-Michael, Efficient Kernelized Prototype-based Classification. International Journal of Neural Systems 21 (06). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Accelerating dissimilarity clustering for biomedical data analysisPUB
Gisbrecht, Andrej, Accelerating dissimilarity clustering for biomedical data analysis. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654Sparse Kernel Vector Quantization with Local DependenciesPUB
Schleif, Frank-Michael, Sparse Kernel Vector Quantization with Local Dependencies. Proceedings of IJCNN 2011 (). , 2011 -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489Divergence based classification in Learning Vector QuantizationPUB | DOI | WoS
Mwebaze, E., Divergence based classification in Learning Vector Quantization. Neurocomputing 74 (9). , 2011 -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantificationsPUB | DOI | WoS | PubMed | Europe PMC
Schleif, Frank-Michael, Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications. Bioinformatics 27 (4). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biologyPUB
Schleif, Frank-Michael, Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology. Proceedings of AIA 2011 (). , 2011 -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648Multivariate class labeling in Robust Soft LVQPUB
Schneider, P., Multivariate class labeling in Robust Soft LVQ. Proceedings of ESANN 2011 (). , 2011 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626Hierarchical evolving trees together with global and local learning for large data sets in MALDI imagingPUB
Simmuteit, S., Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging. Proceedings of WCSB 2010 (). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127Divergence Based Online Learning in Vector QuantizationPUB | DOI
Villmann, Thomas, Divergence Based Online Learning in Vector Quantization. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113 (). Berlin, Heidelberg, 2010 -
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498Divergence based Learning Vector QuantizationPUB
Mwebaze, E., Divergence based Learning Vector Quantization. Proceedings of ESANN 2010 (). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approachPUB
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 -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992441Advances in computational intelligence and learningPUB | DOI | WoS
Angulo, C., Advances in computational intelligence and learning. NeuroComputing 73 (7-9). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978Generalized derivative based Kernelized learning vector quantizationPUB | DOI
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 -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprintsPUB | DOI | WoS
Simmuteit, S., Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems 25 (2). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623Learning vector quantization for heterogeneous structured dataPUB
Zühlke, D., Learning vector quantization for heterogeneous structured data. Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010 (). Evere, Belgium, 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138The Mathematics of Divergence Based Online Learning in Vector QuanitzationPUB
Villmann, T., The Mathematics of Divergence Based Online Learning in Vector Quanitzation. ANNPR'2010 (). Berlin, Heidelberg, 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227Sparse representation of dataPUB
Villmann, T., Sparse representation of data. ESANN'10 (). , 2010 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984Cancer Informatics by Prototype-networks in Mass SpectrometryPUB | DOI | WoS | PubMed | Europe PMC
Schleif, Frank-Michael, Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine 45 (2-3). , 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551Neural Maps and Learning Vector Quantization - Theory and ApplicationsPUB
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 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570Hierarchical PCA using Tree-SOM for the Identification of BacteriaPUB | DOI
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 -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteriaPUB
Simmuteit, S., Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria. ICOLE 2009 (). Clausthal-Zellerfeld, Germany, 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992607Functional Vector Quantization by Neural MapsPUB | DOI
Villmann, T., Functional Vector Quantization by Neural Maps. Proceedings of Whispers 2009 (). Piscataway, NJ, 2009 -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067Unleashing Pearson Correlation for Faithful Analysis of Biomedical DataPUB | DOI
Strickert, M., Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-based Clustering (). Berlin, 2009 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992547Advances in machine learning and computational intelligencePUB | DOI | WoS
Schleif, Frank-Michael, Advances in machine learning and computational intelligence. NeuroComputing 72 (7-9). , 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580Matrix metric adaptation for improved linear discriminant analysis of biomedical dataPUB | DOI
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 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992526Supervised data analysis and reliability estimation for spectral dataPUB | DOI | WoS
Schleif, Frank-Michael, Supervised data analysis and reliability estimation for spectral data. NeuroComputing 72 (16-18). , 2009 -
2009 | Report | Veröffentlicht | PUB-ID: 1993316Stationarity of Matrix Relevance Learning Vector QuantizationPUB
Biehl, M., Stationarity of Matrix Relevance Learning Vector Quantization. (). Leipzig, 2009 -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurementsPUB
Schleif, Frank-Michael, Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements. ICOLE 2009 (). Clausthal-Zellerfeld, Germany, 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structurePUB | DOI
Simmuteit, S., Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure. Proceedings of ICMLA 2009 (). , 2009 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet TransformPUB | DOI
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 -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in BioinformaticsPUB
Schleif, Frank-Michael, Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics. Encyclopedia of Artificial Intelligence (). , 2008 -
2008 | Report | Veröffentlicht | PUB-ID: 1993379Discriminative Visualization by Limited Rank Matrix LearningPUB
Bunte, K., Discriminative Visualization by Limited Rank Matrix Learning. (). Leipzig, 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992530Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance SpectroscopyPUB | DOI
Schleif, Frank-Michael, Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy. Proceedings of the CBMS 2008 (). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral DataPUB
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 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597Metric adaptation for supervised attribute ratingPUB
Strickert, M., Metric adaptation for supervised attribute rating. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008 (). Evere, Belgium, 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966Prototype based Fuzzy Classification in Clinical ProteomicsPUB | DOI | WoS
Schleif, Frank-Michael, Prototype based Fuzzy Classification in Clinical Proteomics. International Journal of Approximate Reasoning 47 (1). , 2008 -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector QuantizersPUB | DOI
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 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539Automatic Identification and Quantification of Metabolites in H-NMR MeasurementsPUB
Schleif, Frank-Michael, Automatic Identification and Quantification of Metabolites in H-NMR Measurements. Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008 (). , 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical DataPUB
Strickert, M., Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Ibero-American Journal of Artificial Intelligence 37 (12). , 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann, Thomas, Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics 9 (2). , 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617Fuzzy Classification Using Information Theoretic Learning Vector QuantizationPUB | DOI | WoS
Villmann, Th., Fuzzy Classification Using Information Theoretic Learning Vector Quantization. Neurocomputing 71 (16-18). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexityPUB | DOI
Geweniger, T., Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity. ICONIP 2008 (). Berlin, Heidelberg, 2008 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry dataPUB | PDF | DOI
Schneider, Petra, Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267Class imaging of hyperspectral satellite remote sensing data using FLSOMPUB | PDF | DOI
Villmann, Thomas, Class imaging of hyperspectral satellite remote sensing data using FLSOM. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547Intuitive Clustering of Biological DataPUB | DOI
Hammer, Barbara, Intuitive Clustering of Biological Data. Proceedings of International Joint Conference on Neural Networks (). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852Advances in pre-processing and model generation for mass spectrometric data analysisPUB
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 -
2007 | Report | Veröffentlicht | PUB-ID: 1993922Aggregation of multiple peak lists by use of an improved neural gas networkPUB
Schleif, Frank-Michael, Aggregation of multiple peak lists by use of an improved neural gas network. (). Leipzig, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical DataPUB | DOI
Strickert, M., Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data. Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400 12 (37). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-MapsPUB | DOI
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 -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509Prototypen basiertes maschinelles Lernen in der klinischen ProteomikPUB
Schleif, Frank-Michael, Prototypen basiertes maschinelles Lernen in der klinischen Proteomik. Ausgezeichnete Informatikdissertationen 2006 7 (). Bonn, 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911Margin based Active Learning for LVQ NetworksPUB | DOI | WoS
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Neurocomputing 70 (7-9). , 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507Maschinelles Lernen mit Prototypmethoden in der klinischen ProteomikPUB
Schleif, Frank-Michael, Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik. KI - Künstliche Intelligenz (4). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992610Association learning in SOMs for Fuzzy-ClassificationPUB | DOI
Villmann, T., Association learning in SOMs for Fuzzy-Classification. 6th International Conference on Machine Learning and Applications, 2007. (). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811Neural gas clustering for dissimilarity data with continuous prototypesPUB | DOI
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 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDSPUB
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 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452Statistical Classification and Visualization of MALDI-Imaging DataPUB
Deininger, S.-O., Statistical Classification and Visualization of MALDI-Imaging Data. Proc. of CBMS 2007 (). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258Fuzzy Labeled Self Organizing Map for Clasification of SpectraPUB | DOI
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 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820Neural gas clustering for sparse proximity dataPUB
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 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom SpectraPUB | DOI
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 -
2007 | Report | Veröffentlicht | PUB-ID: 1992505Preprocessing of Nuclear Magnetic Resonance Spectrometry DataPUB
Schleif, Frank-Michael, Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. (). Leipzig, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586Supervised Attribute Relevance Determination for Protein Identification in Stress ExperimentsPUB
Strickert, M., Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments. Proc. of MLSB 2007 (). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593Gradients of Pearson Correlation for Analysis of Biomedical DataPUB
Strickert, M., Gradients of Pearson Correlation for Analysis of Biomedical Data. Proc. of ASAI 2007 (). , 2007 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Prototype based classification using information theoretic learningPUB
Villmann, Th., Prototype based classification using information theoretic learning. Neural Information Processing, 13th International Conference. Proceedings Part II (). Berlin, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273Fuzzy Labeled Self-Organizing Map with Label-Adjusted PrototypesPUB | DOI
Villmann, T., Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (). Berlin, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578Supervised Batch Neural GasPUB | DOI
Hammer, Barbara, Supervised Batch Neural Gas. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR) (). Berlin, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Margin based Active Learning for LVQ NetworksPUB
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, Belgium, 2006 -
2006 | Dissertation | PUB-ID: 1992511Prototype based Machine Learning for Clinical ProteomicsPUB
Schleif, Frank-Michael, Prototype based Machine Learning for Clinical Proteomics. (). Clausthal-Zellerfeld, Germany, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Machine Learning and Soft-Computing in Bioinformatics. A Short JourneyPUB
Schleif, Frank-Michael, Machine Learning and Soft-Computing in Bioinformatics. A Short Journey. Proc. of FLINS 2006 (). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237Comparison of relevance learning vector quantization with other metric adaptive classification methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann, T., Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks 19 (5). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Supervised median neural gasPUB
Hammer, Barbara, Supervised median neural gas. Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16 (). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594Supervised median clusteringPUB
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 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing MapsPUB | DOI
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 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445Fuzzy Image Segmentation with Fuzzy Labelled Neural GasPUB
Brüß, C., Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. Proc. of ESANN 2006 (). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Fuzzy Classification by Fuzzy Labeled Neural GasPUB | DOI | WoS | PubMed | Europe PMC
Villmann, T., Fuzzy Classification by Fuzzy Labeled Neural Gas. Neural Networks 19 (6-7). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241Prototype-based fuzzy classification with local relevance for proteomicsPUB | DOI | WoS
Villmann, T., Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69 (16-18). , 2006 -
2006 | Report | Veröffentlicht | PUB-ID: 1993584Supervised median clusteringPUB
Hammer, Barbara, Supervised median clustering. (). Clausthal-Zellerfeld, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Learning vector quantization classification with local relevance determination for medical dataPUB | DOI
Hammer, Barbara, Learning vector quantization classification with local relevance determination for medical data. Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029 4029 (). Berlin, Heidelberg, 2006 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Fuzzy Labeled Neural GAS for Fuzzy ClassificationPUB
Villmann, Th., Fuzzy Labeled Neural GAS for Fuzzy Classification. Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM] (). Paris, France, 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513Plugins mit wxWidgetsPUB
Schleif, Frank-Michael, Plugins mit wxWidgets. Offene Systeme 2005 (1). Leipzig, 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector QuantizationPUB
Villmann, T., Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization. International Workshop on Integrative Bioinformatics (). , 2005 -
2005 | Report | Veröffentlicht | PUB-ID: 1993675On the Generalization Ability of Prototype-Based Classifiers with Local Relevance DeterminationPUB
Hammer, Barbara, On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. (). Clausthal-Zellerfeld, 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249Fuzzy labeled soft nearest neighbor classification with relevance learningPUB
Villmann, T., Fuzzy labeled soft nearest neighbor classification with relevance learning. Proceedings of the International Conference of Machine Learning Applications (). Los Angeles, 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic DataPUB | DOI
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 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment DetectionPUB
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 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212Metric adaptation for optimal feature classification in learning vector quantization applied to environment detectionPUB
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 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric DataPUB
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 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Supervised Neural Gas and Relevance Learning in Learning Vector QuantizationPUB
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 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477A mission for the EEG coherence analysis: Is the task complex or difficult?PUB
Köhler, M., A mission for the EEG coherence analysis: Is the task complex or difficult?. Brain Topography 15 (4). New York, NY [u.a.], 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456Working memory load and EEG coherencePUB
Dörfler, T., Working memory load and EEG coherence. Brain Topography 15 (4). New York, NY [u.a.], 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466A distributed logistic support communication systemPUB
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 -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544{LaTeX} im studentischen AlltagPUB
Schleif, Frank-Michael, {LaTeX} im studentischen Alltag. Gaotenblatt (). Leipzig, 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483Complexity and difficulty in memory based comparisonPUB
Köhler, M., Complexity and difficulty in memory based comparison. Proceedings of the 18th Meeting of the International Society for Psychophysics (). , 2002 -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515OCR mit statistischen MomentenPUB
Schleif, Frank-Michael, OCR mit statistischen Momenten. Gaotenblatt 2002 (). Leipzig, 2002 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560An analysis of connections between internal and external learning process indicators using EEG coherence analysisPUB
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 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461Complexity - dependent synchronization of brain subsystems during memorizationPUB
Dörfler, T., Complexity - dependent synchronization of brain subsystems during memorization. Proceedings of the 17th Meeting of the International Society for Psychophysics (). , 2001