129 Publikationen

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[129]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Mokbel, 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
 
[128]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910619
Schleif, Frank-Michael, Villmann, Thomas, and Zhu, Xibin. “High Dimensional Matrix Relevance Learning”. 2014 IEEE International Conference on Data Mining Workshop. Piscataway, NJ: IEEE, 2015.
PUB | DOI
 
[127]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885
Schleif, 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
 
[126]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422
Gisbrecht, Andrej, and Schleif, Frank-Michael. “Metric and non-metric proximity transformations at linear costs”. Neurocomputing 167 (2015): 643-657.
PUB | DOI | WoS
 
[125]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Sparse conformal prediction for dissimilarity data”. Annals of Mathematics and Artificial Intelligence 74.1-2 (2015): 95-116.
PUB | DOI | WoS
 
[124]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
Hofmann, 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
 
[123]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730
Hammer, Barbara, Hofmann, Daniela, Schleif, Frank-Michael, and Zhu, Xibin. “Learning vector quantization for (dis-)similarities”. NeuroComputing 131 (2014): 43-51.
PUB | DOI | WoS
 
[122]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2690490
Strickert, Marc, Bunte, Kerstin, Schleif, Frank-Michael, and Huellermeier, Eyke. “Correlation-based embedding of pairwise score data”. Neurocomputing 141 (2014): 97-109.
PUB | DOI | WoS
 
[121]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data”. Pattern Recognition Lettters 49 (2014): 138-145.
PUB | DOI | WoS
 
[120]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612731
Micheli, Alessio, Schleif, Frank-Michael, and Tino, Peter. “Novel approaches in machine learning and computational intelligence”. Neurocomputing 112 (2013): 1-3.
PUB | DOI | WoS
 
[119]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Sparse prototype representation by core sets”. IDEAL 2013. Ed. et.al Hujun Yin. 2013.
PUB
 
[118]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717
Zhu, 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
 
[117]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724
Schleif, Frank-Michael, and Gisbrecht, Andrej. “Data Analysis of (Non-)Metric Proximities at Linear Costs”. Proceedings of SIMBAD 2013. Springer, 2013. 59-74.
PUB | DOI
 
[116]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Semi-Supervised Vector Quantization for proximity data”. Proceedings of ESANN 2013. 2013. 89-94.
PUB
 
[115]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “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
Bunte, Kerstin, Schleif, Frank-Michael, and Biehl, Michael. “Adaptive Learning for complex-valued data”. Proceedings of ESANN 2012. 2012. 387-392.
PUB
 
[113]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898
Biehl, Michael, Bunte, Kerstin, Schleif, Frank-Michael, Schneider, Petra, and Villmann, Thomas. “Large margin linear discriminative visualization by Matrix Relevance Learning”. IJCNN. 2012. 1-8.
PUB | DOI
 
[112]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750
Schleif, Frank-Michael, Zhu, Xibin, Gisbrecht, Andrej, and Hammer, Barbara. “Fast approximated relational and kernel clustering”. Proceedings of ICPR 2012. IEEE, 2012. 1229-1232.
PUB
 
[111]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Soft Competitive Learning for large data sets”. Proceedings of MCSD 2012. 2012. 141-151.
PUB | DOI
 
[110]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2534839
Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Linear Time Relational Prototype Based Learning”. Int. J. Neural Syst. 22.05 (2012): 1250021.
PUB | DOI | WoS | PubMed | Europe PMC
 
[109]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
Schleif, 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). 2012.Vol. 7553. Lecture Notes in Computer Science. 531-539.
PUB | DOI
 
[108]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405
Bunte, 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
 
[107]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “A Conformal Classifier for Dissimilarity Data”. AIAI (2). 2012. 234-243.
PUB | DOI
 
[106]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Patch Processing for Relational Learning Vector Quantization”. ISNN (1). 2012. 55-63.
PUB | DOI
 
[105]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868
Hammer, Barbara, Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “White Box Classification of Dissimilarity Data”. HAIS (1). 2012. 309-321.
PUB | DOI | WoS
 
[104]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905
Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Relevance learning for short high-dimensional time series in the life sciences”. IJCNN. 2012. 1-8.
PUB | DOI
 
[103]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
Zhu, Xibin, Gisbrecht, Andrej, Schleif, Frank-Michael, and Hammer, Barbara. “Approximation techniques for clustering dissimilarity data”. Neurocomputing 90 (2012): 72-84.
PUB | DOI | WoS
 
[102]
2011 | Preprint | Veröffentlicht | PUB-ID: 2534994
Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Supervised learning of short and high-dimensional temporal sequences for life science measurements”. (2011).
PUB | arXiv
 
[101]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480
Gisbrecht, 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
 
[100]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
Hammer, Barbara, Gisbrecht, Andrej, Hasenfuss, A., Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “Topographic Mapping of Dissimilarity Data”. WSOM'11. 2011.
PUB
 
[99]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492
Schleif, 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
 
[98]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644
Seiffert, U., Schleif, Frank-Michael, and Zühlke, D. “Recent Trends in Computational Intelligence in Life Science”. Proceedings of ESANN 2011. 2011. 77-86.
PUB
 
[97]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640
Bunte, 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
 
[96]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290045
Lee, J. A., Schleif, Frank-Michael, and Martinetz, Thomas. “Advances in artificial neural networks, machine learning, and computational intelligence”. Neurocomputing 74.9 (2011): 1299-1300.
PUB | DOI | WoS
 
[95]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980
Schleif, 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
 
[94]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522
Gisbrecht, 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
 
[93]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654
Schleif, Frank-Michael. “Sparse Kernel Vector Quantization with Local Dependencies”. Proceedings of IJCNN 2011. 2011. accepted.
PUB
 
[92]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489
Mwebaze, 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
 
[91]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556
Schleif, 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
 
[90]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636
Schleif, 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
 
[89]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648
Schneider, 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
 
[88]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626
Simmuteit, 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
 
[87]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127
Villmann, 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
 
[86]
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498
Mwebaze, 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
 
[85]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630
Schleif, 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
 
[84]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992441
Angulo, C., Lee, J. A., and Schleif, Frank-Michael. “Advances in computational intelligence and learning”. NeuroComputing 73.7-9 (2010): 1049-1050.
PUB | DOI | WoS
 
[83]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978
Schleif, 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
 
[82]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034
Simmuteit, S., Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints”. Knowledge and Information Systems 25.2 (2010): 327-343.
PUB | DOI | WoS
 
[81]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623
Zühlke, 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
 
[80]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138
Villmann, 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
 
[79]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227
Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Sparse representation of data”. ESANN'10. Ed. M. Verleysen. D side, 2010. 225-234.
PUB
 
[78]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984
Schleif, 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
 
[77]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551
Schleif, 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
 
[76]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570
Simmuteit, 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
 
[75]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575
Simmuteit, 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
 
[74]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992607
Villmann, T., and Schleif, Frank-Michael. “Functional Vector Quantization by Neural Maps”. Proceedings of Whispers 2009. 2009.
PUB | DOI
 
[73]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067
Strickert, 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
 
[72]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992547
Schleif, Frank-Michael, Biehl, M., and Vellido, A. “Advances in machine learning and computational intelligence”. NeuroComputing 72.7-9 (2009): 1377-1378.
PUB | DOI | WoS
 
[71]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580
Strickert, 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
 
[70]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992526
Schleif, Frank-Michael, Villmann, T., and Ongyerth, M. “Supervised data analysis and reliability estimation for spectral data”. NeuroComputing 72.16-18 (2009): 3590-3601.
PUB | DOI | WoS
 
[69]
2009 | Report | Veröffentlicht | PUB-ID: 1993316
Biehl, 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
 
[68]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534
Schleif, 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
 
[67]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565
Simmuteit, 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
 
[66]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517
Schleif, 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
 
[65]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939
Schleif, 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
 
[64]
2008 | Report | Veröffentlicht | PUB-ID: 1993379
Bunte, 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
 
[63]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992530
Schleif, Frank-Michael, Ongyerth, M., and Villmann, T. “Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy”. Proceedings of the CBMS 2008. 2008. 620-625.
PUB | DOI
 
[62]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554
Schneider, 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
 
[61]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597
Strickert, 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
 
[60]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966
Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “Prototype based Fuzzy Classification in Clinical Proteomics”. International Journal of Approximate Reasoning 47.1 (2008): 4-16.
PUB | DOI | WoS
 
[59]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900
Schleif, 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
 
[58]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539
Schleif, 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
 
[57]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589
Strickert, 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
 
[56]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253
Villmann, 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
 
[55]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617
Villmann, Th., Hammer, Barbara, Schleif, Frank-Michael, Hermann, W., and Cottrell, M. “Fuzzy Classification Using Information Theoretic Learning Vector Quantization”. Neurocomputing 71.16-18 (2008): 3070-3076.
PUB | DOI | WoS
 
[54]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836
Geweniger, 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
 
[53]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Villmann, 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. Bielefeld: Bielefeld University, 2007.
PUB | DOI
 
[52]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Schneider, 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. Bielefeld: Bielefeld University, 2007.
PUB | DOI
 
[51]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547
Hammer, 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
 
[50]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852
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. Ed. Michael Biehl, Barbara Hammer, Michel Verleysen, and Thomas Villmann. Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
PUB
 
[49]
2007 | Report | Veröffentlicht | PUB-ID: 1993922
Schleif, 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
 
[48]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602
Strickert, 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. 2007.
PUB | DOI
 
[47]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970
Schleif, 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
 
[46]
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509
Schleif, 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
 
[45]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911
Schleif, Frank-Michael, Hammer, Barbara, and Villmann, Th. “Margin based Active Learning for LVQ Networks”. Neurocomputing 70.7-9 (2007): 1215-1224.
PUB | DOI | WoS
 
[44]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507
Schleif, Frank-Michael. “Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik”. KI - Künstliche Intelligenz 4 (2007): 65-67.
PUB
 
[43]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992610
Villmann, T., Schleif, Frank-Michael, v.d.Werff, M., Deelder, A., and Tollenaar, R. “Association learning in SOMs for Fuzzy-Classification”. 6th International Conference on Machine Learning and Applications, 2007. 2007. 581-586.
PUB | DOI
 
[42]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616
Villmann, 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
 
[41]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811
Hasenfuss, 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
 
[40]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452
Deininger, S.-O., Gerhard, M., and Schleif, Frank-Michael. “Statistical Classification and Visualization of MALDI-Imaging Data”. Proc. of CBMS 2007. 2007. 403-405.
PUB
 
[39]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820
Hasenfuss, 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
 
[38]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907
Schleif, 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
 
[37]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258
Villmann, 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
 
[36]
2007 | Report | Veröffentlicht | PUB-ID: 1992505
Schleif, Frank-Michael. Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. Leipzig: Universität Leipzig, 2007. Machine Learning Reports.
PUB
 
[35]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586
Strickert, M., and Schleif, Frank-Michael. “Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments”. Proc. of MLSB 2007. 2007. 81-86.
PUB
 
[34]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593
Strickert, M., Schleif, Frank-Michael, and Seiffert, U. “Gradients of Pearson Correlation for Analysis of Biomedical Data”. Proc. of ASAI 2007. 2007. 139-150.
PUB
 
[33]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184
Villmann, 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
 
[32]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273
Villmann, 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
 
[31]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578
Hammer, 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
 
[30]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895
Schleif, 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
 
[29]
2006 | Dissertation | PUB-ID: 1992511
Schleif, Frank-Michael. Prototype based Machine Learning for Clinical Proteomics. Clausthal-Zellerfeld, Germany: Technical University Clausthal, 2006.
PUB
 
[28]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889
Schleif, 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
 
[27]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568
Hammer, 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
 
[26]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594
Hammer, 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
 
[25]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878
Schleif, 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
 
[24]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237
Villmann, 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
 
[23]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445
Brüß, 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
 
[22]
2006 | Report | Veröffentlicht | PUB-ID: 1993584
Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, and Villmann, T. Supervised median clustering. Clausthal-Zellerfeld: Clausthal University of Technology, 2006. IfI Technical reports.
PUB
 
[21]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195
Villmann, 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
 
[20]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241
Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Prototype-based fuzzy classification with local relevance for proteomics”. Neurocomputing 69.16-18 (2006): 2425-2428.
PUB | DOI | WoS
 
[19]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225
Hammer, 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. 603-612.
PUB | DOI
 
[18]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172
Villmann, 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
 
[17]
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513
Schleif, Frank-Michael. “Plugins mit wxWidgets”. Offene Systeme 2005.1 (2005): 5-10.
PUB
 
[16]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219
Villmann, 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
 
[15]
2005 | Report | Veröffentlicht | PUB-ID: 1993675
Hammer, 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
 
[14]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974
Schleif, 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
 
[13]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249
Villmann, 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
 
[12]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168
Villmann, 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
 
[11]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212
Villmann, 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
 
[10]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870
Schleif, 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
 
[9]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223
Villmann, 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
 
[8]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477
Köhler, 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
 
[7]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456
Dörfler, T., Simmel, A., Schleif, Frank-Michael, and Sommerfeld, E. “Working memory load and EEG coherence”. Brain Topography 15.4 (2003): 269.
PUB
 
[6]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466
Gruhn, 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
 
[5]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544
Schleif, Frank-Michael, and Stamer, H. “{LaTeX} im studentischen Alltag”. Gaotenblatt (2002): 3-10.
PUB
 
[4]
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483
Köhler, 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
 
[3]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515
Schleif, Frank-Michael. “OCR mit statistischen Momenten”. Gaotenblatt 2002 (2002): 15-17.
PUB
 
[2]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560
Simmel, 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
 
[1]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461
Dörfler, 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.
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[129]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Mokbel, 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
 
[128]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910619
Schleif, Frank-Michael, Villmann, Thomas, and Zhu, Xibin. “High Dimensional Matrix Relevance Learning”. 2014 IEEE International Conference on Data Mining Workshop. Piscataway, NJ: IEEE, 2015.
PUB | DOI
 
[127]
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885
Schleif, 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
 
[126]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422
Gisbrecht, Andrej, and Schleif, Frank-Michael. “Metric and non-metric proximity transformations at linear costs”. Neurocomputing 167 (2015): 643-657.
PUB | DOI | WoS
 
[125]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Sparse conformal prediction for dissimilarity data”. Annals of Mathematics and Artificial Intelligence 74.1-2 (2015): 95-116.
PUB | DOI | WoS
 
[124]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
Hofmann, 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
 
[123]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730
Hammer, Barbara, Hofmann, Daniela, Schleif, Frank-Michael, and Zhu, Xibin. “Learning vector quantization for (dis-)similarities”. NeuroComputing 131 (2014): 43-51.
PUB | DOI | WoS
 
[122]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2690490
Strickert, Marc, Bunte, Kerstin, Schleif, Frank-Michael, and Huellermeier, Eyke. “Correlation-based embedding of pairwise score data”. Neurocomputing 141 (2014): 97-109.
PUB | DOI | WoS
 
[121]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data”. Pattern Recognition Lettters 49 (2014): 138-145.
PUB | DOI | WoS
 
[120]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612731
Micheli, Alessio, Schleif, Frank-Michael, and Tino, Peter. “Novel approaches in machine learning and computational intelligence”. Neurocomputing 112 (2013): 1-3.
PUB | DOI | WoS
 
[119]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Sparse prototype representation by core sets”. IDEAL 2013. Ed. et.al Hujun Yin. 2013.
PUB
 
[118]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717
Zhu, 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
 
[117]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724
Schleif, Frank-Michael, and Gisbrecht, Andrej. “Data Analysis of (Non-)Metric Proximities at Linear Costs”. Proceedings of SIMBAD 2013. Springer, 2013. 59-74.
PUB | DOI
 
[116]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Semi-Supervised Vector Quantization for proximity data”. Proceedings of ESANN 2013. 2013. 89-94.
PUB
 
[115]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “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
Bunte, Kerstin, Schleif, Frank-Michael, and Biehl, Michael. “Adaptive Learning for complex-valued data”. Proceedings of ESANN 2012. 2012. 387-392.
PUB
 
[113]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898
Biehl, Michael, Bunte, Kerstin, Schleif, Frank-Michael, Schneider, Petra, and Villmann, Thomas. “Large margin linear discriminative visualization by Matrix Relevance Learning”. IJCNN. 2012. 1-8.
PUB | DOI
 
[112]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750
Schleif, Frank-Michael, Zhu, Xibin, Gisbrecht, Andrej, and Hammer, Barbara. “Fast approximated relational and kernel clustering”. Proceedings of ICPR 2012. IEEE, 2012. 1229-1232.
PUB
 
[111]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Soft Competitive Learning for large data sets”. Proceedings of MCSD 2012. 2012. 141-151.
PUB | DOI
 
[110]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2534839
Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Linear Time Relational Prototype Based Learning”. Int. J. Neural Syst. 22.05 (2012): 1250021.
PUB | DOI | WoS | PubMed | Europe PMC
 
[109]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
Schleif, 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). 2012.Vol. 7553. Lecture Notes in Computer Science. 531-539.
PUB | DOI
 
[108]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405
Bunte, 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
 
[107]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888
Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “A Conformal Classifier for Dissimilarity Data”. AIAI (2). 2012. 234-243.
PUB | DOI
 
[106]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Patch Processing for Relational Learning Vector Quantization”. ISNN (1). 2012. 55-63.
PUB | DOI
 
[105]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868
Hammer, Barbara, Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “White Box Classification of Dissimilarity Data”. HAIS (1). 2012. 309-321.
PUB | DOI | WoS
 
[104]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905
Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Relevance learning for short high-dimensional time series in the life sciences”. IJCNN. 2012. 1-8.
PUB | DOI
 
[103]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
Zhu, Xibin, Gisbrecht, Andrej, Schleif, Frank-Michael, and Hammer, Barbara. “Approximation techniques for clustering dissimilarity data”. Neurocomputing 90 (2012): 72-84.
PUB | DOI | WoS
 
[102]
2011 | Preprint | Veröffentlicht | PUB-ID: 2534994
Schleif, Frank-Michael, Gisbrecht, Andrej, and Hammer, Barbara. “Supervised learning of short and high-dimensional temporal sequences for life science measurements”. (2011).
PUB | arXiv
 
[101]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480
Gisbrecht, 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
 
[100]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
Hammer, Barbara, Gisbrecht, Andrej, Hasenfuss, A., Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “Topographic Mapping of Dissimilarity Data”. WSOM'11. 2011.
PUB
 
[99]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492
Schleif, 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
 
[98]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644
Seiffert, U., Schleif, Frank-Michael, and Zühlke, D. “Recent Trends in Computational Intelligence in Life Science”. Proceedings of ESANN 2011. 2011. 77-86.
PUB
 
[97]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640
Bunte, 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
 
[96]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290045
Lee, J. A., Schleif, Frank-Michael, and Martinetz, Thomas. “Advances in artificial neural networks, machine learning, and computational intelligence”. Neurocomputing 74.9 (2011): 1299-1300.
PUB | DOI | WoS
 
[95]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980
Schleif, 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
 
[94]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522
Gisbrecht, 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
 
[93]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654
Schleif, Frank-Michael. “Sparse Kernel Vector Quantization with Local Dependencies”. Proceedings of IJCNN 2011. 2011. accepted.
PUB
 
[92]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489
Mwebaze, 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
 
[91]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556
Schleif, 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
 
[90]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636
Schleif, 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
 
[89]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648
Schneider, 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
 
[88]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626
Simmuteit, 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
 
[87]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127
Villmann, 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
 
[86]
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498
Mwebaze, 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
 
[85]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630
Schleif, 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
 
[84]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992441
Angulo, C., Lee, J. A., and Schleif, Frank-Michael. “Advances in computational intelligence and learning”. NeuroComputing 73.7-9 (2010): 1049-1050.
PUB | DOI | WoS
 
[83]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978
Schleif, 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
 
[82]
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034
Simmuteit, S., Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints”. Knowledge and Information Systems 25.2 (2010): 327-343.
PUB | DOI | WoS
 
[81]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623
Zühlke, 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
 
[80]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138
Villmann, 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
 
[79]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227
Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Sparse representation of data”. ESANN'10. Ed. M. Verleysen. D side, 2010. 225-234.
PUB
 
[78]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984
Schleif, 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
 
[77]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551
Schleif, 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
 
[76]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570
Simmuteit, 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
 
[75]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575
Simmuteit, 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
 
[74]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992607
Villmann, T., and Schleif, Frank-Michael. “Functional Vector Quantization by Neural Maps”. Proceedings of Whispers 2009. 2009.
PUB | DOI
 
[73]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067
Strickert, 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
 
[72]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992547
Schleif, Frank-Michael, Biehl, M., and Vellido, A. “Advances in machine learning and computational intelligence”. NeuroComputing 72.7-9 (2009): 1377-1378.
PUB | DOI | WoS
 
[71]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580
Strickert, 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
 
[70]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992526
Schleif, Frank-Michael, Villmann, T., and Ongyerth, M. “Supervised data analysis and reliability estimation for spectral data”. NeuroComputing 72.16-18 (2009): 3590-3601.
PUB | DOI | WoS
 
[69]
2009 | Report | Veröffentlicht | PUB-ID: 1993316
Biehl, 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
 
[68]
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534
Schleif, 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
 
[67]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565
Simmuteit, 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
 
[66]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517
Schleif, 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
 
[65]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939
Schleif, 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
 
[64]
2008 | Report | Veröffentlicht | PUB-ID: 1993379
Bunte, 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
 
[63]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992530
Schleif, Frank-Michael, Ongyerth, M., and Villmann, T. “Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy”. Proceedings of the CBMS 2008. 2008. 620-625.
PUB | DOI
 
[62]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554
Schneider, 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
 
[61]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597
Strickert, 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
 
[60]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966
Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “Prototype based Fuzzy Classification in Clinical Proteomics”. International Journal of Approximate Reasoning 47.1 (2008): 4-16.
PUB | DOI | WoS
 
[59]
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900
Schleif, 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
 
[58]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539
Schleif, 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
 
[57]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589
Strickert, 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
 
[56]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253
Villmann, 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
 
[55]
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617
Villmann, Th., Hammer, Barbara, Schleif, Frank-Michael, Hermann, W., and Cottrell, M. “Fuzzy Classification Using Information Theoretic Learning Vector Quantization”. Neurocomputing 71.16-18 (2008): 3070-3076.
PUB | DOI | WoS
 
[54]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836
Geweniger, 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
 
[53]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Villmann, 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. Bielefeld: Bielefeld University, 2007.
PUB | DOI
 
[52]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Schneider, 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. Bielefeld: Bielefeld University, 2007.
PUB | DOI
 
[51]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547
Hammer, 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
 
[50]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852
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. Ed. Michael Biehl, Barbara Hammer, Michel Verleysen, and Thomas Villmann. Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
PUB
 
[49]
2007 | Report | Veröffentlicht | PUB-ID: 1993922
Schleif, 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
 
[48]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602
Strickert, 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. 2007.
PUB | DOI
 
[47]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970
Schleif, 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
 
[46]
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509
Schleif, 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
 
[45]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911
Schleif, Frank-Michael, Hammer, Barbara, and Villmann, Th. “Margin based Active Learning for LVQ Networks”. Neurocomputing 70.7-9 (2007): 1215-1224.
PUB | DOI | WoS
 
[44]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507
Schleif, Frank-Michael. “Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik”. KI - Künstliche Intelligenz 4 (2007): 65-67.
PUB
 
[43]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992610
Villmann, T., Schleif, Frank-Michael, v.d.Werff, M., Deelder, A., and Tollenaar, R. “Association learning in SOMs for Fuzzy-Classification”. 6th International Conference on Machine Learning and Applications, 2007. 2007. 581-586.
PUB | DOI
 
[42]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616
Villmann, 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
 
[41]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811
Hasenfuss, 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
 
[40]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452
Deininger, S.-O., Gerhard, M., and Schleif, Frank-Michael. “Statistical Classification and Visualization of MALDI-Imaging Data”. Proc. of CBMS 2007. 2007. 403-405.
PUB
 
[39]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820
Hasenfuss, 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
 
[38]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907
Schleif, 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
 
[37]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258
Villmann, 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
 
[36]
2007 | Report | Veröffentlicht | PUB-ID: 1992505
Schleif, Frank-Michael. Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. Leipzig: Universität Leipzig, 2007. Machine Learning Reports.
PUB
 
[35]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586
Strickert, M., and Schleif, Frank-Michael. “Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments”. Proc. of MLSB 2007. 2007. 81-86.
PUB
 
[34]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593
Strickert, M., Schleif, Frank-Michael, and Seiffert, U. “Gradients of Pearson Correlation for Analysis of Biomedical Data”. Proc. of ASAI 2007. 2007. 139-150.
PUB
 
[33]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184
Villmann, 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
 
[32]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273
Villmann, 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
 
[31]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578
Hammer, 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
 
[30]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895
Schleif, 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
 
[29]
2006 | Dissertation | PUB-ID: 1992511
Schleif, Frank-Michael. Prototype based Machine Learning for Clinical Proteomics. Clausthal-Zellerfeld, Germany: Technical University Clausthal, 2006.
PUB
 
[28]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889
Schleif, 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
 
[27]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568
Hammer, 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
 
[26]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594
Hammer, 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
 
[25]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878
Schleif, 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
 
[24]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237
Villmann, 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
 
[23]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445
Brüß, 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
 
[22]
2006 | Report | Veröffentlicht | PUB-ID: 1993584
Hammer, Barbara, Hasenfuss, A., Schleif, Frank-Michael, and Villmann, T. Supervised median clustering. Clausthal-Zellerfeld: Clausthal University of Technology, 2006. IfI Technical reports.
PUB
 
[21]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195
Villmann, 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
 
[20]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241
Villmann, T., Schleif, Frank-Michael, and Hammer, Barbara. “Prototype-based fuzzy classification with local relevance for proteomics”. Neurocomputing 69.16-18 (2006): 2425-2428.
PUB | DOI | WoS
 
[19]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225
Hammer, 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. 603-612.
PUB | DOI
 
[18]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172
Villmann, 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
 
[17]
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513
Schleif, Frank-Michael. “Plugins mit wxWidgets”. Offene Systeme 2005.1 (2005): 5-10.
PUB
 
[16]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219
Villmann, 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
 
[15]
2005 | Report | Veröffentlicht | PUB-ID: 1993675
Hammer, 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
 
[14]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974
Schleif, 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
 
[13]
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249
Villmann, 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
 
[12]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168
Villmann, 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
 
[11]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212
Villmann, 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
 
[10]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870
Schleif, 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
 
[9]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223
Villmann, 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
 
[8]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477
Köhler, 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
 
[7]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456
Dörfler, T., Simmel, A., Schleif, Frank-Michael, and Sommerfeld, E. “Working memory load and EEG coherence”. Brain Topography 15.4 (2003): 269.
PUB
 
[6]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466
Gruhn, 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
 
[5]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544
Schleif, Frank-Michael, and Stamer, H. “{LaTeX} im studentischen Alltag”. Gaotenblatt (2002): 3-10.
PUB
 
[4]
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483
Köhler, 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
 
[3]
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515
Schleif, Frank-Michael. “OCR mit statistischen Momenten”. Gaotenblatt 2002 (2002): 15-17.
PUB
 
[2]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560
Simmel, 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
 
[1]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461
Dörfler, 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
 

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