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: 2710031Mokbel, Bassam, Paaßen, Benjamin, Schleif, Frank-Michael, and Hammer, Barbara. “Metric learning for sequences in relational LVQ”. Neurocomputing 169.SI (2015): 306-322.PUB | PDF | DOI | Download (ext.) | WoS
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885Schleif, Frank-Michael, Gisbrecht, Andrej, and Tino, Peter. “Large Scale Indefinite Kernel Fisher Discriminant”. Similarity-Based Pattern Recognition. Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Proceedings. Ed. Aasa Feragen, Marcello Pelillo, and Marco Loog. Cham: Springer International Publishing, 2015.Vol. 9370. Lecture Notes in Computer Science. 160-170.PUB | DOI
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Hofmann, Daniela, Schleif, Frank-Michael, Paaßen, Benjamin, and Hammer, Barbara. “Learning interpretable kernelized prototype-based models”. Neurocomputing 141 (2014): 84-96.PUB | DOI | Download (ext.) | WoS
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2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Sparse Prototype Representation by Core Sets”. Intelligent Data Engineering and Automated Learning – IDEAL 2013. Ed. Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, and Xin Yao. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Lecture Notes in Computer Science. 302-309.PUB | DOI
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Sparse prototype representation by core sets”. IDEAL 2013. Ed. et.al Hujun Yin. 2013.PUB
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Secure Semi-supervised Vector Quantization for Dissimilarity Data”. IWANN (1). Ed. Ignacio Rojas, Gonzalo Joya, and Joan Cabestany. Springer, 2013.Vol. 7902. Lecture Notes in Computer Science. 347-356.PUB | DOI
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Semi-Supervised Vector Quantization for proximity data”. Proceedings of ESANN 2013. 2013. 89-94.PUB
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Linear Time Relational Prototype Based Learning”. International Journal of Neural Systems 22.05 (2012): 1250021.PUB | DOI | WoS | PubMed | Europe PMC
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615745Bunte, Kerstin, Schleif, Frank-Michael, and Biehl, Michael. “Adaptive Learning for complex-valued data”. Proceedings of ESANN 2012. 2012. 387-392.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898Biehl, Michael, Bunte, Kerstin, Schleif, Frank-Michael, Schneider, Petra, and Villmann, Thomas. “Large margin linear discriminative visualization by Matrix Relevance Learning”. IJCNN. Ed. IEEE Computational Intelligence Society and Institute of Electrical and Electronics Engineers. Piscataway, NJ: IEEE, 2012. 1-8.PUB | DOI
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750Schleif, Frank-Michael, Zhu, Xibin, Gisbrecht, Andrej, and Hammer, Barbara. “Fast approximated relational and kernel clustering”. Proceedings of ICPR 2012. IEEE, 2012. 1229-1232.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Schleif, Frank-Michael, Mokbel, Bassam, Gisbrecht, Andrej, Theunissen, Leslie, Dürr, Volker, and Hammer, Barbara. “Learning Relevant Time Points for Time-Series Data in the Life Sciences”. ICANN (2). Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.Vol. 7553. Lecture Notes in Computer Science. 531-539.PUB | DOI
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405Bunte, Kerstin, Schneider, Petra, Hammer, Barbara, Schleif, Frank-Michael, Villmann, Thomas, and Biehl, Michael. “Limited Rank Matrix Learning, discriminative dimension reduction and visualization”. Neural Networks 26 (2012): 159-173.PUB | DOI | WoS | PubMed | Europe PMC
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Relevance learning for short high-dimensional time series in the life sciences”. IJCNN. Ed. IEEE Computational Intelligence Society and Institute of Electrical and Electronics Engineers. Piscataway, NJ: IEEE, 2012. 1-8.PUB | DOI
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Hammer, Barbara, Gisbrecht, Andrej, Hasenfuss, Alexander, Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “Topographic Mapping of Dissimilarity Data”. Advances in Self-Organizing Maps. Ed. Jorma Laaksonen and Timo Honkela. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 1-15.PUB | DOI
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982112Hammer, Barbara, Schleif, Frank-Michael, and Zhu, Xibin. “Relational Extensions of Learning Vector Quantization”. Neural Information Processing. Ed. Bao-Liang Lu, Liqing Zhang, and James Kwok. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 481-489.PUB | DOI
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111Hammer, Barbara, Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “Prototype-Based Classification of Dissimilarity Data”. Advances in Intelligent Data Analysis X. Ed. João Gama, Elizabeth Bradley, and Jaakko Hollmén. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 185-197.PUB | DOI
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982110Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Accelerating Kernel Neural Gas”. Artificial Neural Networks and Machine Learning – ICANN 2011. Ed. Timo Honkela, Włodzisław Duch, Mark Girolami, and Samuel Kaski. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 150-158.PUB | DOI
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Gisbrecht, Andrej, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “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. Berlin, Heidelberg: Springer, 2011.Vol. 6936. Lecture Notes in Computer Science. 25-33.PUB | DOI
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Hammer, Barbara, Gisbrecht, Andrej, Hasenfuss, A., Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “Topographic Mapping of Dissimilarity Data”. WSOM'11. 2011.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Accelerating Kernel Neural Gas”. ICANN'2011. Ed. S. Kaski, T. Honkela, Mark Gitolami, and W. Dutch. 2011.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644Seiffert, U., Schleif, Frank-Michael, and Zühlke, D. “Recent Trends in Computational Intelligence in Life Science”. Proceedings of ESANN 2011. 2011. 77-86.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640Bunte, Kerstin, Schleif, Frank-Michael, and Villmann, T. “Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization”. Proceedings of ESANN 2011. Ciaco - i6doc.com, 2011. 29-34.PUB
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980Schleif, Frank-Michael, Villmann, Thomas, Hammer, Barbara, and Schneider, Petra. “Efficient Kernelized Prototype-based Classification”. International Journal of Neural Systems 21.06 (2011): 443-457.PUB | DOI | WoS | PubMed | Europe PMC
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Gisbrecht, Andrej, Hammer, Barbara, Schleif, Frank-Michael, and Zhu, Xibin. “Accelerating dissimilarity clustering for biomedical data analysis”. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. 2011. pp.154-161.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654Schleif, Frank-Michael. “Sparse Kernel Vector Quantization with Local Dependencies”. Proceedings of IJCNN 2011. 2011. accepted.PUB
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489Mwebaze, E., Schneider, P., Schleif, Frank-Michael, Aduwo, J.R., Quinn, J.A., Haase, S., Villmann, T., and Biehl, M. “Divergence based classification in Learning Vector Quantization”. Neurocomputing 74.9 (2011): 1429-1435.PUB | DOI | WoS
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556Schleif, Frank-Michael, Riemer, T., Boerner, U., Schnapka-Hille, L., and Cross, M. “Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications”. Bioinformatics 27.4 (2011): 524-533.PUB | DOI | WoS | PubMed | Europe PMC
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636Schleif, Frank-Michael, Simmuteit, S., and Villmann, T. “Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology”. Proceedings of AIA 2011. 2011. in press.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648Schneider, P., Geweniger, T., Schleif, Frank-Michael, Biehl, M., and Villmann, T. “Multivariate class labeling in Robust Soft LVQ”. Proceedings of ESANN 2011. 2011. 17-22.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626Simmuteit, S., Schleif, Frank-Michael, and Villmann, T. “Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging”. Proceedings of WCSB 2010. 2010. 103-106.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127Villmann, Thomas, Haase, Sven, Schleif, Frank-Michael, and Hammer, Barbara. “Divergence Based Online Learning in Vector Quantization”. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Ed. Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi Zadeh, and Jacek Zurada. Berlin, Heidelberg: Springer, 2010. 479-486.PUB | DOI
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2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498Mwebaze, E., Schneider, P., Schleif, Frank-Michael, Haase, S., Villmann, T., and Biehl, M. “Divergence based Learning Vector Quantization”. Proceedings of ESANN 2010. In Press.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630Schleif, Frank-Michael, Riemer, T., Boerner, U., Schnapka-Hille, L., and Cross, M. “Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach”. Proceedings of WCSB 2010. 2010. 91-94.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978Schleif, Frank-Michael, Villmann, T., Hammer, Barbara, Schneider, P., and Biehl, M. “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. Ed. Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia-Osorio, and Hujun Yin. Berlin u.a.: Springer, 2010. 21-28.PUB | DOI
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623Zühlke, D., Schleif, Frank-Michael, Geweniger, T., and Villmann, T. “Learning vector quantization for heterogeneous structured data”. Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010. Evere, Belgium: d-side publications, 2010.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138Villmann, T., Haase, S., Schleif, Frank-Michael, Hammer, Barbara, and Biehl, M. “The Mathematics of Divergence Based Online Learning in Vector Quanitzation”. ANNPR'2010. Ed. N. El Gayar and F. Schwenker. Berlin, Heidelberg: Springer, 2010. 108-119.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Sparse representation of data”. ESANN'10. Ed. M. Verleysen. D side, 2010. 225-234.PUB
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984Schleif, Frank-Michael, Villmann, T., Kostrzewa, M., Hammer, Barbara, and Gammerman, A. “Cancer Informatics by Prototype-networks in Mass Spectrometry”. Artificial Intelligence in Medicine 45.2-3 (2009): 215-228.PUB | DOI | WoS | PubMed | Europe PMC
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551Schleif, Frank-Michael, and Villmann, T. “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: d-side publications, 2009. 509-516.PUB
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570Simmuteit, S., Schleif, Frank-Michael, Villmann, T., and Kostrzewa, M. “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. Ed. J.C. Príncipe and R. Miikkulainen. Berlin: Springer, 2009. 272-280.PUB | DOI
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575Simmuteit, S., Simmuteit, J., Schleif, Frank-Michael, and Villmann, T. “Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria”. ICOLE 2009. Ed. J. Blazewicz, K. Ecker, and B. Hammer. Clausthal-Zellerfeld, Germany: Technical University of Clausthal, 2009. IfI-09-12. 104-112.PUB
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067Strickert, M., Schleif, Frank-Michael, Villmann, T., and Seiffert, U. “Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data”. Similarity-based Clustering. Ed. M. Biehl, B. Hammer, M. Verleysen, and T. Villmann. Berlin: Springer, 2009. LNAI, 5400. 70-91.PUB | DOI
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580Strickert, M., Keilwagen, J., Schleif, Frank-Michael, T. Villmann, T., and Biehl, 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. Ed. J. Cabestany, F. Sandoval, A. Prieto, and J.M. Corchado. Berlin: Springer, 2009.Vol. Part 1. 933-940.PUB | DOI
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2009 | Report | Veröffentlicht | PUB-ID: 1993316Biehl, M., Hammer, Barbara, Schleif, Frank-Michael, Schneider, P., and Villmann, T. Stationarity of Matrix Relevance Learning Vector Quantization. Leipzig: Universität Leipzig, 2009. Machine Learning Reports.PUB
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534Schleif, Frank-Michael, Riemer, T., Boerner, U., and Cross, M. “Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements”. ICOLE 2009. Ed. J. Blazewicz, K. Ecker, and B. Hammer. Clausthal-Zellerfeld, Germany: Technical University of Clausthal, 2009. IfI-09-12. 89-103.PUB
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565Simmuteit, S., Schleif, Frank-Michael, Villmann, T., and Elssner, T. “Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure”. Proceedings of ICMLA 2009. IEEE Press, 2009. 563--567.PUB | DOI
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517Schleif, Frank-Michael, Lindemann, M., Maass, P., Diaz, M., Decker, J., Elssner, T., Kuhn, M., and Thiele, H. “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): 189-199.PUB | DOI
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics”. Encyclopedia of Artificial Intelligence. Ed. Juan Ram-n Rabu-al Dopico, Julian Dorado, and Alejandro Pazos. IGI Global, 2008. 1337-1342.PUB
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2008 | Report | Veröffentlicht | PUB-ID: 1993379Bunte, K., Schneider, P., Hammer, Barbara, Schleif, Frank-Michael, Villmann, T., and Biehl, M. Discriminative Visualization by Limited Rank Matrix Learning. Leipzig: Universität Leipzig, 2008. Machine Learning Reports.PUB
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554Schneider, P., Schleif, Frank-Michael, Villmann, T., and Biehl, M. “Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data”. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Ed. Michel Verleysen. Evere, Belgium: d-side publications, 2008. 451-456.PUB
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597Strickert, M., Schleif, Frank-Michael, and Villmann, T. “Metric adaptation for supervised attribute rating”. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Ed. Michel Verleysen. Evere, Belgium: d-side publications, 2008. 31-36.PUB
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900Schleif, Frank-Michael, Hammer, Barbara, and Villmann, T. “Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers”. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Ed. M. Van de Werff, A. Delder, and R. Tollenaar. Berlin: Springer, 2008. 141-167.PUB | DOI
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539Schleif, Frank-Michael, Riemer, T., Cross, M., and Villmann, T. “Automatic Identification and Quantification of Metabolites in H-NMR Measurements”. Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008. 2008. 165-168.PUB
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589Strickert, M., Schleif, Frank-Michael, and Seiffert, U. “Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data”. Ibero-American Journal of Artificial Intelligence 37.12 (2008): 37-44.PUB
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Villmann, Thomas, Schleif, Frank-Michael, Kostrzewa, Markus, Walch, Axel, and Hammer, Barbara. “Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods”. Briefings in Bioinformatics 9.2 (2008): 129-143.PUB | DOI | WoS | PubMed | Europe PMC
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Geweniger, T., Schleif, Frank-Michael, Hasenfuss, A., Hammer, Barbara, and Villmann, T. “Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity”. ICONIP 2008. Ed. Mario Köppen, Nikola K. Kasabov, and George G. Coghill. Berlin, Heidelberg: Springer, 2008. 61-69.PUB | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016Schneider, Petra, Biehl, Michael, Schleif, Frank-Michael, and Hammer, Barbara. “Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data”. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University, 2007.PUB | PDF | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267Villmann, Thomas, Schleif, Frank-Michael, Merenyi, E., Strickert, M., and Hammer, Barbara. “Class imaging of hyperspectral satellite remote sensing data using FLSOM”. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University, 2007.PUB | PDF | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, Villmann, T., Strickert, M., and Seiffert, U. “Intuitive Clustering of Biological Data”. Proceedings of International Joint Conference on Neural Networks. IEEE, 2007. 1877-1882.PUB | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852Schleif, 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. Ed. Michael Biehl, Barbara Hammer, Michel Verleysen, and Thomas Villmann. Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.PUB
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2007 | Report | Veröffentlicht | PUB-ID: 1993922Schleif, Frank-Michael, Hasenfuss, A., and Hammer, Barbara. Aggregation of multiple peak lists by use of an improved neural gas network. Leipzig: Universität Leipzig, 2007.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602Strickert, M., Schleif, Frank-Michael, Villmann, T., and Seiffert, U. “Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data”. Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400. IBERAMIA: Sociedad Iberoamericana de Inteligencia Artificial, 2007.Vol. 12.PUB | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “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. Ed. Francesco Masulli, Sushmita Mitra, and Gabriella Pasi. Berlin, Heidelberg: Springer, 2007. 563-570.PUB | DOI
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509Schleif, Frank-Michael. “Prototypen basiertes maschinelles Lernen in der klinischen Proteomik”. Ausgezeichnete Informatikdissertationen 2006. Ed. Dorothea Wagner. Bonn: Gesellschaft für Informatik, 2007.Vol. 7. GI-Edition Lecture Notes in Informatics. Dissertation. 179-188.PUB
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2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507Schleif, Frank-Michael. “Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik”. KI - Künstliche Intelligenz 4 (2007): 65-67.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811Hasenfuss, A., Hammer, Barbara, Schleif, Frank-Michael, and Villmann, T. “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. Ed. F. Sandoval, A. Prieto, J. Cabestany, and M. Grana. Berlin: Springer, 2007. 539-546.PUB | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616Villmann, T., Strickert, M., Brüß, C., Schleif, Frank-Michael, and Seiffert, U. “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. Ed. Michel Verleysen. Evere, Belgium: d-side publications, 2007. 103-108.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452Deininger, S.-O., Gerhard, M., and Schleif, Frank-Michael. “Statistical Classification and Visualization of MALDI-Imaging Data”. Proc. of CBMS 2007. 2007. 403-405.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258Villmann, T., Schleif, Frank-Michael, Merenyi, E., and Hammer, Barbara. “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. Ed. F. Sandoval, A. Prieto, J. Cabestany, and M. Grana. Berlin: Springer, 2007. 556-563.PUB | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820Hasenfuss, A., Hammer, Barbara, Schleif, Frank-Michael, and Villmann, T. “Neural gas clustering for sparse proximity data”. Proceedings of the 9th International Work-Conference on Artificial Neural Networks.LNCS 4507. Ed. Francisco Sandoval, Alberto Prieto, Joan Cabestany, and Manuel Grana. Berlin, Heidelberg, Germany: Springer, 2007. 539-546.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907Schleif, Frank-Michael, Hammer, Barbara, and Villmann, Th. “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. Ed. F. Sandoval, A. Prieto, J. Cabestany, and M. Grana. Berlin, Heidelberg: Springer, 2007. 1036-1044.PUB | DOI
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2007 | Report | Veröffentlicht | PUB-ID: 1992505Schleif, Frank-Michael. Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. Leipzig: Universität Leipzig, 2007. Machine Learning Reports.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586Strickert, M., and Schleif, Frank-Michael. “Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments”. Proc. of MLSB 2007. 2007. 81-86.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593Strickert, M., Schleif, Frank-Michael, and Seiffert, U. “Gradients of Pearson Correlation for Analysis of Biomedical Data”. Proc. of ASAI 2007. 2007. 139-150.PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Villmann, Th., Hammer, Barbara, Schleif, Frank-Michael, Geweniger, T., Fischer, T., and Cottrell, M. “Prototype based classification using information theoretic learning”. Neural Information Processing, 13th International Conference. Proceedings. Ed. Irwin King, Jun Wang, Laiwan Chan, and DeLiang L. Wang. Berlin: Springer, 2006.Vol. Part II. Lecture Notes in Computer Science, 4233. 40-49.PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273Villmann, T., Seiffert, U., Schleif, Frank-Michael, Brüß, C., Geweniger, T., and Hammer, Barbara. “Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes”. Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Ed. F. Schwenker. Berlin: Springer, 2006. 46-56.PUB | DOI
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, and Villmann, T. “Supervised Batch Neural Gas”. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR). Ed. F. Schwenker. Berlin: Springer Verlag, 2006. 33-45.PUB | DOI
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Schleif, Frank-Michael, Hammer, Barbara, and Villmann, Th. “Margin based Active Learning for LVQ Networks”. Proc. Of European Symposium on Artificial Neural Networks. Ed. M. Verleysen. Brussels, Belgium: d-side publications, 2006. 539-544.PUB
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2006 | Dissertation | PUB-ID: 1992511Schleif, Frank-Michael. Prototype based Machine Learning for Clinical Proteomics. Clausthal-Zellerfeld, Germany: Technical University Clausthal, 2006.PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Schleif, Frank-Michael, Elssner, T., Kostrzewa, M., Villmann, T., and Hammer, Barbara. “Machine Learning and Soft-Computing in Bioinformatics. A Short Journey”. Proc. of FLINS 2006. World Scientific Press, 2006. 541-548.PUB
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Comparison of relevance learning vector quantization with other metric adaptive classification methods”. Neural Networks 19.5 (2006): 610-622.PUB | DOI | WoS | PubMed | Europe PMC
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, and Villmann, T. “Supervised median neural gas”. Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16. Ed. C. Dagli, A. Buczak, D. Enke, A. Embrechts, and O. Ersoy. ASME Press, 2006. 623-633.PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, and Villmann, T. “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). Ed. Cihan H. Dagli. New York, NY: ASME Press, 2006. ASME Press series on intelligent engineering systems through artificial neural networks, 16. 623-632.PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878Schleif, Frank-Michael, Elssner, T., Kostrzewa, M., Villmann, T., and Hammer, Barbara. “Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps”. 19th IEEE International Symposium on Computer- based Medical Systems. Ed. D.J. Lee, B. Nutter, S. Antani, S. Mitra, and J. Archibald. Los Alamitos: IEEE Computer Society Press, 2006. 919-924.PUB | DOI
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445Brüß, C., Bollenbeck, F., Schleif, Frank-Michael, Weschke, W., Villmann, T., and Seiffert, U. “Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas”. Proc. of ESANN 2006. 2006. 563-569.PUB
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Villmann, T., Hammer, Barbara, Schleif, Frank-Michael, Geweniger, T., and Herrmann, W. “Fuzzy Classification by Fuzzy Labeled Neural Gas”. Neural Networks 19.6-7 (2006): 772-779.PUB | DOI | WoS | PubMed | Europe PMC
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2006 | Report | Veröffentlicht | PUB-ID: 1993584Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, and Villmann, T. Supervised median clustering. Clausthal-Zellerfeld: Clausthal University of Technology, 2006. IfI Technical reports.PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Hammer, Barbara, Villmann, Th., Schleif, Frank-Michael, Albani, C., and Hermann, W. “Learning vector quantization classification with local relevance determination for medical data”. Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029. Ed. L. Rutkowski, R. Tadeusiewicz, L.A. Zadeh, and J. Zurada. Berlin, Heidelberg: Springer, 2006.Vol. 4029. Lecture notes in computer science ; 4029 : Lecture notes in artificial intelligence. 603-612.PUB | DOI
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Villmann, Th., Hammer, Barbara, Schleif, Frank-Michael, and Geweniger, T. “Fuzzy Labeled Neural GAS for Fuzzy Classification”. Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM]. Ed. Marie Cottrell. Paris, France: University Paris-1-Pantheon-Sorbonne, 2005. 283-290.PUB
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513Schleif, Frank-Michael. “Plugins mit wxWidgets”. Offene Systeme 2005.1 (2005): 5-10.PUB
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization”. International Workshop on Integrative Bioinformatics. 2005.PUB
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2005 | Report | Veröffentlicht | PUB-ID: 1993675Hammer, Barbara, Schleif, Frank-Michael, and Villmann, T. On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. Clausthal-Zellerfeld: Clausthal University of Technology, 2005. IfI Technical reports.PUB
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Fuzzy labeled soft nearest neighbor classification with relevance learning”. Proceedings of the International Conference of Machine Learning Applications. Ed. M. Arif Wani, Krzysztof J. Cios, and Khalid Hafeez. Los Angeles: IEEE Press, 2005. 11-15.PUB
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Schleif, Frank-Michael, Villmann, Th., and Hammer, Barbara. “Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data”. Proceedings of the 6th Workshop on Fuzzy Logic and Applications. Ed. Isabelle Bloch, Alfredo Petrosino, and Andrea G.B. Tettamanzi. Berlin, Heidelberg: Springer, 2005. 290-296.PUB | DOI
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Villmann, T., Hammer, Barbara, and Schleif, Frank-Michael. “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. Ed. H.-M. Groß, K. Debes, and H.-J. Böhme. VDI Verlag, 2004. 592-597.PUB
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection”. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. Ed. H.-M. Groß, K. Debes, and H.-J. Böhme. VDI Verlag, 2004.PUB
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Schleif, Frank-Michael, Clauss, U., Villmann, Th., and Hammer, Barbara. “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. Ed. M. Arif Wani, Krzysztof J. Cios, and Khalid Hafeez. Los Alamitos, CA, USA: IEEE Press, 2004. 374-379.PUB
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2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Villmann, Th., Schleif, Frank-Michael, and Hammer, Barbara. “Supervised Neural Gas and Relevance Learning in Learning Vector Quantization”. Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM]. Ed. Takeshi Yamakawa. Hibikino, Kitakyushu, Japan: Kyushu Institute of Technology, 2003. 47-52.PUB
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2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477Köhler, M., Buchta, K., Schleif, Frank-Michael, and Sommerfeld, E. “A mission for the EEG coherence analysis: Is the task complex or difficult?”. Brain Topography 15.4 (2003): 271.PUB
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2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456Dörfler, T., Simmel, A., Schleif, Frank-Michael, and Sommerfeld, E. “Working memory load and EEG coherence”. Brain Topography 15.4 (2003): 269.PUB
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2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466Gruhn, V., Hülder, M., Ijoui, R., and Schleif, Frank-Michael. “A distributed logistic support communication system”. Proceedings of ISD 2003 - Constructing the Infrastructure for the Knowledge Economy - Methods and Tools, Theory and Practice. Ed. H. Linger, J. Fisher, W.G. Wojtkowski, J. Zupancic, K. Vigo, and J. Arnold. London: Kluwer Academic Publishers, 2003. 705-713.PUB
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2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544Schleif, Frank-Michael, and Stamer, H. “{LaTeX} im studentischen Alltag”. Gaotenblatt (2002): 3-10.PUB
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2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483Köhler, M., Buchta, K., Schleif, Frank-Michael, and Sommerfeld, E. “Complexity and difficulty in memory based comparison”. Proceedings of the 18th Meeting of the International Society for Psychophysics. Ed. J.A. da Silva, N.P.R. Filho, and E.H. Matsushima. Pabst Publishing, 2002. 433-439.PUB
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2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515Schleif, Frank-Michael. “OCR mit statistischen Momenten”. Gaotenblatt 2002 (2002): 15-17.PUB
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2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560Simmel, A., Dörfler, T., Schleif, Frank-Michael, and Sommerfeld, E. “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. Pabst Publishing, 2001. 602-607.PUB
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2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461Dörfler, T., Simmel, A., Schleif, Frank-Michael, and Sommerfeld, E. “Complexity - dependent synchronization of brain subsystems during memorization”. Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing, 2001. 343-348.PUB