Main Publications Teaching Programming

Publications with peer-review-system:


(Please note: some of the articles are subject to copyright restrictions in which case a preliminary version is available. If no preliminary version is present you may contact me via schleif [A:T] gaos [] org) This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders, usually the publishers. All persons and robots copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
DBLP snapshot

Book chapters
published Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics Schleif, Frank-M., Villmann, T., Hammer, B. (2007). Encyclopedia of Artificial Intelligence
ISBN: 978-1-59904-849-9
published Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. Schleif, Frank-M., Hammer, B., Villmann, T., v.d. Werff, M., Deelder, A., Tollenaar, R., Chapt. 6, p. 141--167, 2008 Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications, ISBN:978-3-540-70776-9
published Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Strickert, M., Schleif, F.-M., Villmann, T., Seiffert, U. (2009),in M. Biehl, B. Hammer, M. Verleysen, T. Villmann (Eds.): , 70--91, 2009. ISBN:978-3-642-01804-6 Similarity-based Clustering.Springer, LNAI 5400, 2009

Journal articles

[2003]

published Working memory load and EEG coherence. Dörfler, T., Simmel, A., Schleif, F.-M., & Sommerfeld, E. (2003). Brain Topography, 15(4), 269, 2003
published A mission for the EEG coherence analysis: Is the task complex or difficult? Koehler, M., Buchta, K., Schleif, F.-M. & Sommerfeld, E. (2003). Brain Topography 15(4), 271, 2003

[2006]

published Comparison of Relevance Learning Vector Quantization with other Metric Adaptive Classification Methods. Villmann, T., Schleif, Frank-M., Hammer, B. (2006). Journal of Neural Networks, Vol 19, I 5, 610-622, June 2006 Elsevier link
published Fuzzy Classification by Fuzzy Labeled Neural Gas. Villmann, T., Hammer, B., Schleif, Frank-M., Geweniger, T., W. Herrmann (2006). Special Issue of Neural Networks - Advances in Self Organizing Maps, Vol 19, I 6-7, 772--779, July-August 2006 Elsevier link
published Prototype-based fuzzy classification with local relevance for proteomics. Villmann, T., Schleif, Frank-M., Hammer, B. (2006). NeuroComputing, Vol. 69, 2425--2428, 2006 (Elsevier link)

[2007]

published Margin based Active Learning for LVQ Networks. Schleif, Frank-M., Hammer, B., Villmann, T. (2007). NeuroComputing 2007 (Elsevier link)
published Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik. Schleif, Frank-M. (2007) Künstliche Intelligenz (KI), 4/07, 65--67, 2007 (KI Link), ISSN:0933-1875

[2008]

published Prototype based Fuzzy Classification in Clinical Proteomics. Schleif, Frank-M., Villmann, T., Hammer, B. (2008). Special issue of JIAR on Approximate reasoning and Machine learning for Bioinformatics (selected paper from CIBB/WILF 2005) Journal of Approximate reasoning (Elsevier link (doi) , 47(1),4--16,ISSN: 0888-613X
published Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data Strickert, M., Schleif, F.-M. and Seiffert, U. Revista Iberoamericana de Intelligencia Artifical 12 (37): 37--44, 2008
published Fuzzy Classification Using Information Theoretic Learning Vector Quantization. Villmann, Th., Hammer, B., Schleif, Frank-M., Hermann, W., Cottrell, M. NeuroComputing, Vol. 71(16-18):3070-3076, 2008 (Elsevier link
published Exploration of Mass-Spectrometric Data in Clinical Proteomics Using Learning Vector Quantization Methods. Schleif, Frank-M., Hammer, B., M. Kostrzewa, Villmann, T. (2008). Briefings in Bioinformatics 2008, Vol 9(2), 129--143
Special Issue on Computational Proteomics

[2009]

published Cancer Informatics by Prototype-networks in Mass Spectrometry Schleif, F.-M., Villmann, T., Kostrzewa, M., Hammer, B., Gammerman, A. Artificial Intelligence in Medicine 2009, 45, 215-228, (online available at: medline
published Advances in machine learning and computational intelligence Schleif, F.-M. and Vellido, A. and Biehl, M. NeuroComputing, 2009, 72, 7-9
published Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform. (doi) Schleif, F.-M., Lindemann, M., P.Maass, M. Diaz, Decker, J., Th. Elssner, Kuhn, M., Thiele, H. Computing and Visualization in Science, 2009, 12, 189--199
published Supervised data analysis and reliability estimation for spectral data Schleif, F.-M., Ongyerth, M., Villmann, Th. NeuroComputing 2009,72 (16-18): 3590-3601

Current publications (online, in press, submitted)

accepted Evolving Trees for the Retrieval of Mass Spectrometry based Bacteria Fingerprints Simmuteit, S. and Schleif, F.-M. and Villmann, T. and Hammer, B. Knowledge and Information Systems (accepted)
in press Advances in computational intelligence and learning Cecilio Angulo and John A. Lee and F.-M. Schleif Neurocomputing (to appear)
submitted Stationarity of Matrix Updates in Relevance Learning Vector Quantization Petra Schneider, Michael Biehl, Barbara Hammer, Frank-Michael Schleif, and Thomas Villmann Journal of Machine Learning Research (submitted)
submitted Genetic algorithm for shift-uncertainty correction in 1-D NMR based metabolite identifications and quantifications Frank-M. Schleif, T. Riemer, U. Börner, L.Schnapka-Hille, M. Cross Bioinformatics (submitted)

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Contributions to international conferences:

[2001]

published Complexity-dependent synchronization of brain subsystems during memorization. Dörfler, T., Simmel, A., Schleif, F.-M., & Sommerfeld, E. (2001). In E. Sommerfeld & R. Kompass & T. Lachmann (Eds.), Fechner Day 2001, Proceedings Seventeenth Annual Meeting of the International Society for Psychophysics (pp. 343-348). Berlin: Pabst Science Publishers.
published An analysis of connections between internal and external learning process indicators using eeg coherence duration. Köhler, M., Buchta, K., Schleif, F.-M., & Sommerfeld, E. (2001). In E. Sommerfeld & R. Kompass & T. Lachmann (Eds.), Fechner Day 2001, Proceedings Seventeenth Annual Meeting of the International Society for Psychophysics (pp. 602-607). Berlin: Pabst Science Publishers.

[2002]

published Complexity and difficulty in memory based comparison. Koehler, M., Buchta, K., Schleif, F.-M. & Sommerfeld, E. (2002) In: da Silva, J.A.; Filho, N.P.R.; Matsushima, E.H. (Eds.) Proceedings Eighteenth Annual Meeting of the International Society for Psychophysics. Rio de Janeiro, Brazil: The International Society for Psychophysics.(pp. 433-439).

[2003]

published A distributed logistic support communication system. Gruhn, V., Hülder, M., Ijoui, R., Schleif, Frank-M. (2003). ISD 2003
published Supervised Neural Gas and Relevance Learning in Learning Vector Quantisation. Villmann, T., Schleif, Frank-M., Hammer, B. (2003). in: Proceedings of WSOM 2003, Kitakyushu, Japan, 47-52,September 11-14, 2003
published Distributed Logistic Support Communication System. Gruhn, V.; Hülder, M., Ijioui, R.; Schleif, F.-M. (2003). In: H. Linger, J. Fisher, W. Wojtowski, W. G. Wojtowski, J. Zupancic, K. Vigo, J. Arnold (Hg.): Constructing the Infrastructure for the Knowledge Economy, pp. 705-713, Kluwer Academic / Plenum Publishers. (2003)

[2004]

published Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection. Villmann, T., Hammer, B., Schleif, Frank-M. (2004). in: H.-M. Groß, K. Debes, H.-J. Bö¶hme (Eds.), SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior, Fortschritts-Berichte VDI Reihe 10, Nr. 742, VDI Verlag, Dü¼sseldorf, 2004
published Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data. Schleif, Frank-M., Clauss U., Villmann, T., Hammer, B. (2004). in: Proceedings of ICMLA 2004, Louisville, KY, USA, Publisher: IEEE Press, ISBN 0-7803-9923-2, pages 374-379, December 16-18, 2004

[2005]

published Fuzzy Labeled Neural GAS for Fuzzy Classification. Villmann, T., Hammer, B., Schleif, Frank-M., Geweniger, T. (2005). in: Proceedings of WSOM 2005, Paris, France, 283-290, September 05-08, 2005
published Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. Schleif, Frank-M., Villmann, T., Hammer, B. (2005). Fuzzy Logic and Applications: 6th Int. Workshop, WILF 2005, Crema, Italy, Sept. 15-17, 2005, Revised Selected papers Ed. Isabelle Bloch, Alfredo Petrosino, Andrea G.B. Tettamanzi, pp. 290-296 LNCS 2849/2006, ISBN: 3-540-32529-8, Springer, 2006 [As LNCS Proceedings of International Workshop on Fuzzy Logic and Applications and 2nd International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (WILF+CIBB 2005)] Springer link
published Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning. Villmann, T., Schleif, Frank-M., Hammer, B. (2005). in: Proceedings of ICMLA 2005, Los Angeles, USA, Publisher: IEEE Press, ISBN 0-7695-2495-8, pages 11-15, December 15-17, 2005 IEEE link

[2006]

published Margin based Active Learning for LVQ Networks. Schleif, F.-M., Hammer, B., Villmann, Th. (2006). in: Proceedings of ESANN 2006, Bruges, Belgium, 539--545, ISBN:2-930307-06-4, April, 26-28, 2006 Preliminary version
published Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. Bruess, C., Bollenbeck, F., Schleif, F.-M., Weschke, W., Villmann, Th., Seiffert, U. (2006). in: Proceedings of ESANN 2006, Bruges, Belgium, 563--569, ISBN:2-930307-06-4, April, 26-28, 2006 Preliminary version
published Analysis and Visualization of Proteomic Data by Fuzzy labeled Self Organizing Maps. Schleif, F.-M., Elssner, T., M. Kostrzewa, Villmann, Th., Hammer, B. (2006). in: Proceedings of CBMS 2006, Salt-Lake-City, Utah, USA, 919--924, ISBN: 0-7695-2517-1, June, 22-23, 2006 IEEE link
published Learning vector quantization classification with local relevance determination for medical data. Hammer, B., Villmann, Th., Schleif, F.-M., Albani, C. and Hermann, W. (2005). in: Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006, Zakopane, Poland, 603--612, LNAI 4029, Springer, ISBN: 3-540-35748-3, June, 2006 Springer link
published Machine Learning and Soft-Computing in Bioinformatics - A Short Journey. Schleif, F.-M., Villmann, Th., Elssner, Th., Decker, J., Kostrzewa, M. (2006). Applied Artificial Intelligence - Proc. of the 7th Int. FLINS Conference 2006, Genua, Italy, 541--548, World Scientific Press, ISBN:981-256-690-2, August, 2006 acceptance rate << 50 percent
published Supervised batch neural gas. Hammer, B., Hasenfuss, A., Schleif, F.-M., Villmann, Th. (2006). in Artificial Neural Networks in Pattern Recognition - Proceedings of ANNPR 2006, Ulm, Germany, 33--45, Springer, LNAI, ISBN:3-540-37951-7,August/September, 2006 Springer Link
published Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. Villmann, Th., Seiffert, U., Schleif, F.-M., Bruess, C., Geweniger, T., Hammer, B. (2006). in Artificial Neural Networks in Pattern Recognition - Proceedings of ANNPR 2006, Ulm, Germany, 46--56, Springer, LNAI, ISBN:3-540-37951-7,August/September, 2006 Springer Link
published Prototype Based Classification Using Information Theoretic Learning. Villmann, Th., Hammer, B., Schleif, F.-M., T. Geweniger and M. Cottrell (2006). in 13th International Conference - Proceedings of ICONIP 2006 (Part II), Hong Kong, China, 40--49, Springer, LNCS, ISBN:978-3-540-46481-5, ISSN:03029743 October 3-6 Springer Link ICONIP 2006 (accepted) acceptance rate 30 percent
published Supervised median clustering. Hammer, B., Hasenfuss, A., Schleif, F.-M., Villmann, Th. (2006). In: Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, Okan Ersoy (Eds.), Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Computational Biology, and Evolutionary Computation, Volume 16, Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006), November 6-8, 2006, St. Louis, MO, U.S.A., ASME Press, New York, p. 623-632, 2006. ISBN 0-7918-0256-6

[2007]

published Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation. Villmann, Th., Strickert, M., Bruess, C., Schleif, F.-M., Seiffert, U. (2007) 15th European Symposium on Artificial Neural Networks (ESANN 2007), Bruges, Belgium, 25.04-27.04, 2007, pp. 103--108,d-side,Evere,Belgium, ISBN:2-930307-07-2
published Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra. Schleif, Frank-M., Villmann, T., Hammer, B. (2007). 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastian, Spain, 20.06-22.06, 2007, pp. 1036--1044, Springer, ISBN:978-3-540-73006-4 (acceptance rate ~40 percent)
published Neural gas clustering for sparse proximity data. Hasenfuss, A., Hammer, B. Schleif, F.-M., Villmann, T (2007). 9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - Special Session on Cancer Research, San Sebastian, Spain, 20.06-22.06, 2007, pp. 539--546, Springer, ISBN:978-3-540-73006-4 (acceptance rate ~40 percent)
published Fuzzy Labeled Self Organizing Map for Clasification of Spectra. Villmann, T., Schleif, Frank-M., Merenyi, E., Hammer, B. (2007). 9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - Special Session on Complex Data, San Sebastian, Spain, 20.06-22.06, 2007, pp. 556--563, Springer, ISBN:978-3-540-73006-4 (acceptance rate ~40 percent)
published Intuitive Clustering of Biological Data. Hammer, B., Hasenfuss, A., Schleif, F.-M., Villmann, Th., Strickert, M., Seiffert, U. (2007)., IJCNN 2007, pp. 1877--1882, IEEE, ISBN: 978-1-4244-1380-5, (IEEE link (doi: 10.1109/IJCNN.2007.4371244))
published Statistical Classification and Visualization of MALDI-Imaging Data. Deininger, S.-O., Gerhard, M., Schleif, F.-M. (2007). CBMS 2007, 403--405, ISBN: 0769529054
published Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps. Schleif, Frank-M., Villmann, T., Hammer, B. (2007). CIBB 2007, 563--570, ISBN: 978-3-540-73399-7
published Prototypen basiertes maschinelles Lernen in der klinische Proteomik. Schleif, Frank-M. (2007) Ausgezeichnete Informatikdissertationen 2006, 179--188, GI-Edition Lecture Notes in Informatics (LNI), ISBN:978-3-88579-411-0
published Class imaging of hyperspectral satellite remote sensing data using Fuzzy labeled Self Organizing Maps. Villmann, Th., Schleif, F.-M., Hammer, B., Strickert, M. Merenyi, E. (2007) WSOM 2007, ISBN: 9783000224, (free) online access
published Advanced metric adaptation in General LVQ for classification of mass spectrometry data. Schneider, P. Biehl, M, Schleif, F.-M. and Hammer, B. (2007) WSOM 2007, ISBN: 9783000224, (free) online access
published Gradients of Pearson Correlation for Analysis of Biomedical Data. Strickert, M., Schleif, F.-M., Seiffert, U. (2007) Proceedings of the 9th Argentine Symposium on Artificial Intelligence (ASAI 2007),139--150,2007, ISBN:18502784
published Advances in pre-processing and model generation for mass spectrometric data analysis. Schleif, F.-M. (2007) Dagstuhl online proceedings (2007)
published Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments Strickert, M., Schleif, Frank-M. (2007)., 81--86 MLSB 2007
published Associative learning in SOMs for Fuzzy-Classification Villmann, T., Schleif, Frank-M., van der Werff, M. Deelder, A., Tollenaar, R. (2007)., 581--586, ISBN:0-7695-3069-9 ICMLA 2007
published Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data. Strickert, M., Schleif, F.-M., Villmann, T., Seiffert, U. (2007) LNCS Similarity based Clustering

[2008]

published Metric adaptation for supervised attribute rating. Strickert, M., Schleif, F.-M., Villmann, T. (2008), 31--36, ISBN: 2-930307-08-0 (ESANN 2008)
published Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data Schneider, P., Schleif, F.-M., Villmann, T., Biehl, M. (2008), 451--456, ISBN: 2-930307-08-0 (ESANN 2008)
published Automatic Identification and Quantification of Metabolites in H-NMR Measurements Schleif, F-M., Riemer, T., Cross, M. Villmann, T. (2008), 165--168, ISBN: 978-952-15-1988-8 (WCSB 2008)
published Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy Schleif, F-M., Ongyerth, M., Villmann, T. (2008), 620--625, ISBN: 978-0-7695-3165-6 (CBMS 2008)
published Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity Geweniger, T., Schleif, F.-M., Hasenfuss, A., Hammer, B. Villmann, T. (ICONIP 2008)

[2009]

published Neural Maps and Learning Vector Quantization - Theory and Applications. Villmann, T., Schleif, F.-M. (2009), 509--516, 2-930307-09-9 (ESANN 2009)
published Hierarchical PCA using Tree-SOM for the Identification of Bacteria. Simmuteit, S., Schleif, F.-M., Villmann, T., Kostrzewa, M. (2009), Advances in Self-Organizing Maps, 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings. Lecture Notes in Computer Science 5629 Springer 2009,272-280, ISBN 978-3-642-02396-5 (WSOM 2009)
published Matrix metric adaptation for improved linear discriminant analysis of biomedical data. Strickert, M., Keilwagen, J., Schleif, F.-M., Villmann, T., Biehl, M. (2009),Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I. Lecture Notes in Computer Science 5517 Springer 2009, 933-940, ISBN 978-3-642-02477-1 (IWANN 2009)
published Functional Vector Quantization by Neural Maps Villmann, T. and Schleif, F.-M. (2009) Whispers (2009)
published Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structure Simmuteit, S., Schleif, F.-M., Villmann, T., Elssner, (2009) ICMLA (2009), p. 563--567, IEEE-Press, ISBN:978-0-7695-3926-3

[2010]

in press Divergence based online learning in vector quantization Villmann, T.; Haase, S.; Schleif, F.-M.; Hammer, B.; (2010) ICAISC (2010)
in press The Mathematics of Divergence Based Online Learning in Vector Quanitzation Villmann, T.; Haase, S.; Schleif, F.-M.; Hammer, B.; Biel, M.(2010) ANNPR (2010)
in press Learning vector quantization for heterogeneous structured data Zühlke, D., Schleif, F.-M., Geweniger, T., Villmann, T.(2010) ESANN (2010)
in press Divergence based Learning Vector Quantization Mwebaze, E., Schneider, P., Schleif, F.-M., Haase, S., Villmann, T., Biehl, M. (2010) ESANN (2010)
in press Sparse representation of data T. Villmann and F.-M. Schleif and B. Hammer (2010) ESANN (2010)
in press Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging Simmuteit, S., Schleif, F-M., Villmann, T. (2010) (WCSB 2010)
in press Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach Schleif, F.-M., Riemer, T., Boerner, U. Schnapka-Hille, L., Cross, M. (2010) (WCSB 2010)
accepted Generalized derivative based kernelized Learning Vector Quantization Schleif, F,-M.; Villmann, T.; Hammer, B.; Schneider, P.; Biehl, M. (2010) IDEAL (2010) (accepted)

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Invited Talks, Presentations, Meetings, Research visits

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Dagstuhl seminars

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Others:

Published abstracts:

Dörfler, T., Simmel, A., Schleif, F.-M. & Sommerfeld, E.(2002a). Der Einfluss der Arbeitsgedächtnisbelastung auf die EEG-Kohärenz. In E. van der Meer & H. Hagendorf & R. Beyer & F. Krüger & A. Nuthmann & S. Schulz (Eds.), Abstract - 43. Kongress der Deutschen Gesellschaft für Psychologie, Humboldt-Universität zu Berlin (page 242). Lengerich: Pabst Science Publishers.

Dörfler, T., Simmel, A., Schleif, F.-M. & Sommerfeld, E. (2002b). Arbeitsgedächtnisbelastung und EEG-Kohärenz im Beta1- und Theta-Frequenzband. In W. Skrandies (Ed.), Abstracts - 11. Deutsches EEG / EP Mapping Meeting, Justus Liebig Universität Giessen(page 31).

Köhler, M., Buchta, K. Schleif, F.-M. & Sommerfeld, E. (2002b). Eine Frage für die EEG-Kohärenzanalyse: Ist die Aufgabe komplex oder kompliziert. In W. Skrandies (Ed.), Abstracts - 11. Deutsches EEG / EP Mapping Meeting, Justus Liebig Universität Giessen

Simmel, A.,Dörfler, T., Schleif, F.-M., & Sommerfeld, E. (2002). EEG Kohärenzanalyse bei Automatisierungsprozessen im Beta1- und Theta-Band. In M. Baumann & A. Keinath & J. F. Krems (Eds.), Experimentelle Psychologie - Abstracts - 44. Tagung experimentell arbeitender Psychologen, Technische Universität Chemnitz page 211). Regensburg: Roderer.

Dörfler, T., Simmel, A., Schleif, F.-M., & Sommerfeld, E. (2003). Working memory load and EEG coherence. Brain Topography, 15(4), 269.

Schleif, F.-M.; Hammer, B.; Decker, J.; Clauss, U.; Villmann, Th. (2004) Automatic Classification of Mass Spectrometric Data in the Clinical Research Abstracts - 3rd Annual Leipzig Research Festival for Life Science 2004 (page 215) ISBN-3-00-015269-5

Schleif, F.-M.; Villmann, Th.; Hammer, B.; Clauss, U. (2005) Generalized Relevance Learning Vector Quantization with local Metric Adaptation in Classification of Mass Spectrometric Data Abstracts - 29th Annual Conference of the German Classification Society (GfKl 2005) (page 167)

Schleif, F.-M.; Villmann, Th.; Hammer, B.;(2005) Fuzzy Dynamic Labeling in Learning Vector Quantization for Automatic Classification of Mass Spectrometric Data in Clinical Research Abstracts - 4th Bio-Technology-Day (BioTech 2005) (page 210)

Schleif, F.-M.; Villmann, Th.; Hammer, B.;(2005). Fishing for bio-marker candidates in ms-data with Fuzzy Labeled Neural GAS Research Festival 2005 - University of Leipzig, Germany (page 88)

Schleif, F.-M.; Villmann, Th.; Hammer, B.;(2006) Visualization of proteomic data with Fuzzy-Labelled Self-Organizing Maps Abstracts - 5th Bio-Technology-Day (BioTech 2006) (page 141)

Schleif, F.-M.; Villmann, Th.; Hammer, B.; Strickert, M. (2006). Visualization of Fuzzy Classification Research Festival 2006 - University of Leipzig, Germany (page 75)



Poster

Dörfler, T., Simmel, A., Schleif, F.-M., & Sommerfeld, E. (2001). Complexity-dependent synchronization of brain subsystems during memorization. Fechner Day 2001, Proceedings Seventeenth Annual Meeting of the International Society for Psychophysics, Leipzig, Germany. [Poster]

Simmel, A.,Dörfler, T., Schleif, F.-M., & Sommerfeld, E. (2001). An analysis of connections between internal and external learning process indicators using eeg coherence duration. Fechner Day 2001, Proceedings Seventeenth Annual Meeting of the International Society for Psychophysics, Leipzig, Germany. [Poster]

Dörfler, T., Simmel, A., Schleif, F.-M. & Sommerfeld, E. (2002). Arbeitsgedächtnisbelastung und EEG-Kohärenz im Beta1- und Theta-Frequenzband. 11. Deutsches EEG / EP Mapping Meeting, Justus Liebig Universität Giessen, Germany.[Poster]

Diaz, M.; Bredies, K.; Decker, J.; Schleif, F.-M.; Clauss, C.; Kuhn, M.; Maass, P.; Thiele, H.; Laukien, F.; (2004). Wavelet Transformation applied to the Analysis of Clinical Proteomics Mass Spectra. American Society for Mass Spectrometry - 52nd Conference [Poster]

Schleif, F.-M.; Hammer, B.; Decker, J.; Clauss, U.;Villmann, Th.(2004). Automatic Classification of Mass Spectrometric Data in the Clinical Research Research Festival 2004 - University of Leipzig, Germany [Poster]

Schleif, F.-M.; Villmann, Th.; Hammer, B.;(2005) Fuzzy Dynamic Labeling in Learning Vector Quantization for Automatic Classification of Mass Spectrometric Data in Clinical Research 4th Bio-Technology-Day (BioTech 2005) - University of Leipzig, Germany [Poster]

Villmann, T., Schleif, Frank-M., Hammer, B. (2005) Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization International Workshop on Integrative Bioinformatics 2005 - University of Bielefeld, Germany [Poster]

Schleif, F.-M.; Villmann, Th.; Hammer, B.;(2005). Fishing for bio-marker candidates in ms-data with Fuzzy Labeled Neural GAS Research Festival 2005 - University of Leipzig, Germany [Poster]

Schleif, F.-M.; Villmann, Th.; Hammer, B.;(2006) Visualization of proteomic data with Fuzzy-Labelled Self-Organizing Maps Abstracts - 5th Bio-Technology-Day (BioTech 2006) [poster]

Lindemann, M.; Diaz, M.; Maass, P.; Schleif, F.-M.; Decker, J.; Elssner, T.; Kuhn, M.; Thiele, H.; (2006). Wavelet Based Feature Extraction in the Analysis of Clinical Proteomics Mass Spectra American Society for Mass Spectrometry - 54nd Conference [Poster]

Riemer, T.; Börner, U.; Alt, R.; Schnapka-Hille, T.; Schleif, F.-M.; Wirling, C.; Herwig, R.; Leidich, S.; Cross, M. ;(2008). Platform for NMR-Spectroscopy-based Metabolic Profiling Research Festival 2008 - University of Leipzig, Germany [Poster], ISBN: 3-9810760-4-4, S. 336

Schleif, F.-M., Riemer, T., Boerner, U., Cross, M., Alt, R.; Schnapka-Hille, T.; Wirling, C.; Herwig, R.; Leidich, S. (2009). A platform for the automatic identification and quantification of metabolites using Nuclear Magnetic Resonance Spectroscopy BioTech-Day 2009 - University of Leipzig, Germany [Poster]

Riemer, T., Boerner, U., Leidich, S., Gessner, T., Schleif, F.-M., Villmann, T., Wierling, C., Herwig, R., Schnapka-Hille, L. Alt, R., Cross., M. (2009). METASTEM: A systems biology platform for NMR spectroscopy based analysis of cells IFF-Wissenschaftstage 2009 - IFF, Magdeburg, Germany [Poster]

Simmuteit, S.; Schleif, F.-M.;Villmann, Th., Elssner, T. (2009). Tanimoto metric in Tree-SOM for better representation of high-dimensional mass-spectrometry data with an underlying taxonomic structure NDNS Workshop 2009 - University of Groningen, The Netherlands [Poster]

F.-M. Schleif, T. Riemer, U. Boerner, R. Alt, L. Schnapka-Hille, T. Villmann, C. Wierling, R. Hertwig, S. Leidich, M. Cross (2009). An algorithmic approach for (almost) full-automatic identification and quantification of metabolites in NMR measurements of cell extracts. NDNS Workshop 2009 - University of Groningen, The Netherlands [Poster]

Simmuteit, S.; Schleif, F.-M.;Villmann, Th.(2009). Retrieval of Bacteria from Mass Spectrometry Data with Tanimoto Tree SOM Research Festival 2009 - University of Leipzig, Germany [Poster]

Thomas Riemer, Uta Boerner, Frank M. Schleif, Stefan Leidich, Lydia Schnapka-Hille, Michael Cross (2009). nano litre NMR spectroscopy based metabolic profile of FDCPmix cell extracts Research Festival 2009 - University of Leipzig, Germany [Poster]



Technical reports

Barbara Hammer, Frank-Michael Schleif, and Thomas Villmann (2005). On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination IfI-05-14, November 2005, 18 pp.

Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, and Thomas Villmann (2006). Supervised Median Clustering IfI-09-06, September 2006.

Frank-Michael Schleif (2007). Preprocessing of Nuclear Magnetic Resonance Spectrometry Data Machine Learning Reports, 01/07, ISSN: 1865-3960, September 2007.

K. Bunte and P. Schneider and B. Hammer and F.-M. Schleif and T. Villmann and M. Biehl (2008). Discriminative Visualization by Limited Rank Matrix Learning Machine Learning Reports, 03/08, ISSN: 1865-3960, October 2008.

M. Biehl and B. Hammer and F.-M. Schleif and P. Schneider and T. Villmann (2009). Stationarity of Matrix Relevance Learning Vector Quantization Machine Learning Reports, 01/09, ISSN: 1865-3960, June 2009.

S. Simmuteit and J. Simmuteit and F.-M. Schleif and T. Villmann (2009). Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria ICOLE, 2009

F.-M. Schleif and T. Riemer and U. Boerner and M. Cross (2009). Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements ICOLE, 2009

T. Geweniger, P. Schneider, F.-M. Schleif, M. Biehl, T. Villmann (2009). Extending RSLVQ to handle data points with uncertain class assignments Machine Learning Reports, 02/09, ISSN: 1865-3960, November 2009.

T. Villmann, S. Haase, S. Simmuteit, M. Kästner and F.-M. Schleif (2010). Functional Vector Quantization based on Divergence Learning Statistical Computing, 2010, ISSN 0939-5091



Contribution to patents

METHOD FOR TRAINING OF SUPERVISED PROTOTYPE NEURAL GAS NETWORKS AND THEIR USE IN MASS SPECTROMETRY (2006). patent pending (06.09.2006), Bruker Bioscience Corp.



further publications

Schleif, Frank-M. (2002). Diploma thesis (MSc - Dipl.-Inf.): Momentbasierte Methoden zur Schriftzeichenerkennung. (Prof. Dr. Dietmar Saupe - University of Konstanz [Germany] & Prof. Dr. Raouf Hamzaoui - De Montfort University [UK]) Dokumentenserver Uni-Leipzig, Momentbasierte Methoden der Schriftzeichenerkennung
If this doesnt work (as most of the time) try this local link: Momentbasierte Methoden der Schriftzeichenerkennung
Parts of my diploma thesis with some improvements are published in the WSOM 2003 paper (see above)

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Schleif, Frank-M. (2006). Dissertation (PhD - Dr. rer. nat): Prototype based Machine Learning for Clinical Proteomics (Prof. Dr. Barbara Hammer - Technical University of Clausthal [Germany] & PD. Dr. rer. nat. habil. Thomas Villmann - University of Leipzig [Germany]) Main parts of the practical aspects of the thesis have been done during my work at Bruker Daltonik GmbH (Leipzig/Bremen) - Part of Bruker Bioscience Corporation Available via Technical University of Clausthal or on request
Most theoretical results of the thesis are published at conferences or journals (see above)
Nominated for the dissertation thesis award of the Gesellschaft f. Informatik (Society of Computer Science) (GI Dissertationspreis)

phd comic from www.phdcomics.com (finishing of a phd-thesis)
The step above was done at the end of 2006 and I did my PhD defense on 08.12.2006.

Schleif, F.-M. (2002). OCR mit statistischen Momenten. Gaotenblatt 01/2002 ISSN:1619-0114, 15-17.

Schleif, F.-M., Stamer, H. (2002). LaTeX im studentischen Alltag. Gaotenblatt 01/2002 ISSN:1619-0114, 03-10.

Schleif, F.-M. (2005) Plugins mit wxWidgets. Offene Systeme 01/2005 ISSN:1619-0114, 05-10.

Villmann, Th., Schleif, F.-M., Decker J. (2005) Prototype based classification for analysis of mass spectrometric data and biomarker detection Spring workshop of Interdisciplinary Centre for Bioinformatics, Germany

Decker, J., Kuhn, M., Schleif, F.-M. (2006) - DROPS online publication Method Development for Clinical Proteomics Dagstuhl Seminar on Clinical Proteomics, Dagstuhl, Germany

H. Thiele, F.-M. Schleif, J. Decker (2006). Mathematical Techniques for Pre-Processing, Pattern Recognition and Classification of Mass Spectra 7th Siena Meeting from Genome to Proteome 2006, Siena, Italy, September, 3-7, 2006 (invited talk)

Schleif, F.-M. (2007) - DROPS online publication Feature extraction and similarity-based metric adaptation in mass spectrometry Dagstuhl Similarity-based Clustering and its Application to Medicine and Biology, Dagstuhl, Germany



Links

MetaSTEM project home page

AG Computational Intelligence home page

ClinProTools forum



Additional material

Slides to talk at GFKL 2005

Notes to LVQ vs SVM

Some hints for the neverending story LVQ or SVM