Frank-Michael Schleif
fschleif@techfak.uni-bielefeld.dehttps://orcid.org/0000-0002-7539-1283
PEVZ-ID
133 Publikationen
-
-
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)PUB | PDF | DOI | Download (ext.) | WoS
Metric learning for sequences in relational LVQ.
Neurocomputing 169(SI): 306-322. -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885Schleif F-M, Gisbrecht A, Tino P (2015)PUB | DOI
Large Scale Indefinite Kernel Fisher Discriminant.
In: Similarity-Based Pattern Recognition. Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Proceedings. Feragen A, Pelillo M, Loog M (Eds); Lecture Notes in Computer Science, 9370. Cham: Springer International Publishing: 160-170. -
-
-
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)PUB | DOI | Download (ext.) | WoS
Learning interpretable kernelized prototype-based models.
Neurocomputing 141: 84-96. -
-
-
-
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105Schleif F-M, Zhu X, Hammer B (2013)PUB | DOI
Sparse Prototype Representation by Core Sets.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2013. Yin H, Tang K, Gao Y, Klawonn F, Lee M, Weise T, Li B, Yao X (Eds); Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg: 302-309. -
-
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202Schleif F-M, Zhu X, Hammer B (2013)PUB
Sparse prototype representation by core sets.
In: IDEAL 2013. Hujun Yin et.al (Ed);. -
-
-
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701Zhu X, Schleif F-M, Hammer B (2013)PUB
Semi-Supervised Vector Quantization for proximity data.
In: Proceedings of ESANN 2013. 89-94. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)PUB | DOI | WoS | PubMed | Europe PMC
Linear Time Relational Prototype Based Learning.
International Journal of Neural Systems 22(05): 1250021. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615745Bunte K, Schleif F-M, Biehl M (2012)PUB
Adaptive Learning for complex-valued data.
In: Proceedings of ESANN 2012. 387-392. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898Biehl M, Bunte K, Schleif F-M, Schneider P, Villmann T (2012)PUB | DOI
Large margin linear discriminative visualization by Matrix Relevance Learning.
In: IJCNN. IEEE Computational Intelligence Society, Institute of Electrical and Electronics Engineers (Eds); Piscataway, NJ: IEEE: 1-8. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750Schleif F-M, Zhu X, Gisbrecht A, Hammer B (2012)PUB
Fast approximated relational and kernel clustering.
In: Proceedings of ICPR 2012. IEEE: 1229-1232. -
-
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Schleif F-M, Mokbel B, Gisbrecht A, Theunissen L, Dürr V, Hammer B (2012)PUB | DOI
Learning Relevant Time Points for Time-Series Data in the Life Sciences.
In: ICANN (2). Lecture Notes in Computer Science, 7553. Berlin, Heidelberg: Springer Berlin Heidelberg: 531-539. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2012)PUB | DOI | WoS | PubMed | Europe PMC
Limited Rank Matrix Learning, discriminative dimension reduction and visualization.
Neural Networks 26: 159-173. -
-
-
-
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Schleif F-M, Gisbrecht A, Hammer B (2012)PUB | DOI
Relevance learning for short high-dimensional time series in the life sciences.
In: IJCNN. IEEE Computational Intelligence Society, Institute of Electrical and Electronics Engineers (Eds); Piscataway, NJ: IEEE: 1-8. -
-
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)PUB | DOI
Topographic Mapping of Dissimilarity Data.
In: Advances in Self-Organizing Maps. Laaksonen J, Honkela T (Eds); Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg: 1-15. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982112Hammer B, Schleif F-M, Zhu X (2011)PUB | DOI
Relational Extensions of Learning Vector Quantization.
In: Neural Information Processing. Lu B-L, Zhang L, Kwok J (Eds); Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg: 481-489. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111Hammer B, Mokbel B, Schleif F-M, Zhu X (2011)PUB | DOI
Prototype-Based Classification of Dissimilarity Data.
In: Advances in Intelligent Data Analysis X. Gama J, Bradley E, Hollmén J (Eds); Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg: 185-197. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982110Schleif F-M, Gisbrecht A, Hammer B (2011)PUB | DOI
Accelerating Kernel Neural Gas.
In: Artificial Neural Networks and Machine Learning – ICANN 2011. Honkela T, Duch W, Girolami M, Kaski S (Eds); Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg: 150-158. -
-
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Gisbrecht A, Schleif F-M, Zhu X, Hammer B (2011)PUB | DOI
Linear time heuristics for topographic mapping of dissimilarity data.
In: Intelligent Data Engineering and Automated Learning - IDEAL 2011: IDEAL 2011, 12th international conference, Norwich, UK, September 7 - 9, 2011 ; proceedings. Lecture Notes in Computer Science, 6936. Berlin, Heidelberg: Springer: 25-33. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)PUB
Topographic Mapping of Dissimilarity Data.
In: WSOM'11. . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Schleif F-M, Gisbrecht A, Hammer B (2011)PUB
Accelerating Kernel Neural Gas.
In: ICANN'2011. Kaski S, Honkela T, Gitolami M, Dutch W (Eds);. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644Seiffert U, Schleif F-M, Zühlke D (2011)PUB
Recent Trends in Computational Intelligence in Life Science.
In: Proceedings of ESANN 2011. 77-86. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640Bunte K, Schleif F-M, Villmann T (2011)PUB
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.
In: Proceedings of ESANN 2011. Ciaco - i6doc.com: 29-34. -
-
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980Schleif F-M, Villmann T, Hammer B, Schneider P (2011)PUB | DOI | WoS | PubMed | Europe PMC
Efficient Kernelized Prototype-based Classification.
International Journal of Neural Systems 21(06): 443-457. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Gisbrecht A, Hammer B, Schleif F-M, Zhu X (2011)PUB
Accelerating dissimilarity clustering for biomedical data analysis.
In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp.154-161. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654Schleif F-M (2011)PUB
Sparse Kernel Vector Quantization with Local Dependencies.
In: Proceedings of IJCNN 2011. accepted. -
-
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556Schleif F-M, Riemer T, Boerner U, Schnapka-Hille L, Cross M (2011)PUB | DOI | WoS | PubMed | Europe PMC
Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications.
Bioinformatics 27(4): 524-533. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636Schleif F-M, Simmuteit S, Villmann T (2011)PUB
Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology.
In: Proceedings of AIA 2011. in press. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648Schneider P, Geweniger T, Schleif F-M, Biehl M, Villmann T (2011)PUB
Multivariate class labeling in Robust Soft LVQ.
In: Proceedings of ESANN 2011. 17-22. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626Simmuteit S, Schleif F-M, Villmann T (2010)PUB
Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging.
In: Proceedings of WCSB 2010. 103-106. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127Villmann T, Haase S, Schleif F-M, Hammer B (2010)PUB | DOI
Divergence Based Online Learning in Vector Quantization.
In: Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Rutkowski L, Scherer R, Tadeusiewicz R, Zadeh L, Zurada J (Eds); Berlin, Heidelberg: Springer: 479-486. -
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498Mwebaze E, Schneider P, Schleif F-M, Haase S, Villmann T, Biehl M (In Press)PUB
Divergence based Learning Vector Quantization.
In: Proceedings of ESANN 2010. . -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630Schleif F-M, Riemer T, Boerner U, Schnapka-Hille L, Cross M (2010)PUB
Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach.
In: Proceedings of WCSB 2010. 91-94. -
-
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M (2010)PUB | DOI
Generalized derivative based Kernelized learning vector quantization.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings. Fyfe C, Tino P, Charles D, Garcia-Osorio C, Yin H (Eds); Berlin u.a.: Springer: 21-28. -
-
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623Zühlke D, Schleif F-M, Geweniger T, Villmann T (2010)PUB
Learning vector quantization for heterogeneous structured data.
In: Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010. Evere, Belgium: d-side publications. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)PUB
The Mathematics of Divergence Based Online Learning in Vector Quanitzation.
In: ANNPR'2010. El Gayar N, Schwenker F (Eds); Berlin, Heidelberg: Springer: 108-119. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227Villmann T, Schleif F-M, Hammer B (2010)PUB
Sparse representation of data.
In: ESANN'10. Verleysen M (Ed); D side: 225-234. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)PUB | DOI | WoS | PubMed | Europe PMC
Cancer Informatics by Prototype-networks in Mass Spectrometry.
Artificial Intelligence in Medicine 45(2-3): 215-228. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551Schleif F-M, Villmann T (2009)PUB
Neural Maps and Learning Vector Quantization - Theory and Applications.
In: Proceedings of the ESANN 2009. European Symposium on Artificial Neural Networks. Advances in Computational Intelligence and Learning. Evere, Belgium: d-side publications: 509-516. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570Simmuteit S, Schleif F-M, Villmann T, Kostrzewa M (2009)PUB | DOI
Hierarchical PCA using Tree-SOM for the Identification of Bacteria.
In: Advances in Self-Organizing Maps. Proceedings of the 7th International Workshop on Self Organizing Maps WSOM 2009. LNCS, 5629. Príncipe JC, Miikkulainen R (Eds); Berlin: Springer: 272-280. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575Simmuteit S, Simmuteit J, Schleif F-M, Villmann T (2009)PUB
Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria.
In: ICOLE 2009. Blazewicz J, Ecker K, Hammer B (Eds); IfI-09-12, Clausthal-Zellerfeld, Germany: Technical University of Clausthal: 104-112. -
-
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067Strickert M, Schleif F-M, Villmann T, Seiffert U (2009)PUB | DOI
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data.
In: Similarity-based Clustering. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); LNAI, 5400, Berlin: Springer: 70-91. -
-
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580Strickert M, Keilwagen J, Schleif F-M, T. Villmann T, Biehl M (2009)PUB | DOI
Matrix metric adaptation for improved linear discriminant analysis of biomedical data.
In: Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Proceedings. LNCS, 5517. Cabestany J, Sandoval F, Prieto A, Corchado JM (Eds);Part 1. Berlin: Springer: 933-940. -
-
2009 | Report | Veröffentlicht | PUB-ID: 1993316Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2009)PUB
Stationarity of Matrix Relevance Learning Vector Quantization. Machine Learning Reports.
Leipzig: Universität Leipzig. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534Schleif F-M, Riemer T, Boerner U, Cross M (2009)PUB
Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements.
In: ICOLE 2009. Blazewicz J, Ecker K, Hammer B (Eds); IfI-09-12, Clausthal-Zellerfeld, Germany: Technical University of Clausthal: 89-103. -
-
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517Schleif F-M, Lindemann M, Maass P, Diaz M, Decker J, Elssner T, Kuhn M, Thiele H (2009)PUB | DOI
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): 189-199. -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939Schleif F-M, Villmann T, Hammer B (2008)PUB
Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics.
In: Encyclopedia of Artificial Intelligence. Dopico JR-n R-al, Dorado J, Pazos A (Eds); IGI Global: 1337-1342. -
2008 | Report | Veröffentlicht | PUB-ID: 1993379Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2008)PUB
Discriminative Visualization by Limited Rank Matrix Learning. Machine Learning Reports.
Leipzig: Universität Leipzig. -
-
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554Schneider P, Schleif F-M, Villmann T, Biehl M (2008)PUB
Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data.
In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Verleysen M (Ed); Evere, Belgium: d-side publications: 451-456. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597Strickert M, Schleif F-M, Villmann T (2008)PUB
Metric adaptation for supervised attribute rating.
In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Verleysen M (Ed); Evere, Belgium: d-side publications: 31-36. -
-
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900Schleif F-M, Hammer B, Villmann T (2008)PUB | DOI
Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers.
In: Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Van de Werff M, Delder A, Tollenaar R (Eds); Berlin: Springer: 141-167. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539Schleif F-M, Riemer T, Cross M, Villmann T (2008)PUB
Automatic Identification and Quantification of Metabolites in H-NMR Measurements.
In: Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008. 165-168. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589Strickert M, Schleif F-M, Seiffert U (2008)PUB
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data.
Ibero-American Journal of Artificial Intelligence 37(12): 37-44. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)PUB | DOI | WoS | PubMed | Europe PMC
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.
Briefings in Bioinformatics 9(2): 129-143. -
-
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Geweniger T, Schleif F-M, Hasenfuss A, Hammer B, Villmann T (2008)PUB | DOI
Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity.
In: ICONIP 2008. Köppen M, Kasabov NK, Coghill GG (Eds); Berlin, Heidelberg: Springer: 61-69. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016Schneider P, Biehl M, Schleif F-M, Hammer B (2007)PUB | PDF | DOI
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data.
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B (2007)PUB | PDF | DOI
Class imaging of hyperspectral satellite remote sensing data using FLSOM.
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
-
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852Schleif F-M (2007)PUB
Advances in pre-processing and model generation for mass spectrometric data analysis.
In: Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany. -
2007 | Report | Veröffentlicht | PUB-ID: 1993922Schleif F-M, Hasenfuss A, Hammer B (2007)PUB
Aggregation of multiple peak lists by use of an improved neural gas network.
Leipzig: Universität Leipzig. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602Strickert M, Schleif F-M, Villmann T, Seiffert U (2007)PUB | DOI
Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data.
In: Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400. 12. IBERAMIA: Sociedad Iberoamericana de Inteligencia Artificial. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Schleif F-M, Villmann T, Hammer B (2007)PUB | DOI
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps.
In: Application of Fuzzy Sets Theory. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications. LNAI 4578. Masulli F, Mitra S, Pasi G (Eds); Berlin, Heidelberg: Springer: 563-570. -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509Schleif F-M (2007)PUB
Prototypen basiertes maschinelles Lernen in der klinischen Proteomik.
In: Ausgezeichnete Informatikdissertationen 2006. Wagner D (Ed); GI-Edition Lecture Notes in Informatics. Dissertation, 7. Bonn: Gesellschaft für Informatik: 179-188. -
-
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507Schleif F-M (2007)PUB
Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik.
KI - Künstliche Intelligenz (4): 65-67. -
-
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)PUB | DOI
Neural gas clustering for dissimilarity data with continuous prototypes.
In: Computational and Ambient Intelligence – Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin: Springer: 539-546. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616Villmann T, Strickert M, Brüß C, Schleif F-M, Seiffert U (2007)PUB
Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS.
In: Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN) 2007. Verleysen M (Ed); Evere, Belgium: d-side publications: 103-108. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452Deininger S-O, Gerhard M, Schleif F-M (2007)PUB
Statistical Classification and Visualization of MALDI-Imaging Data.
In: Proc. of CBMS 2007. 403-405. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258Villmann T, Schleif F-M, Merenyi E, Hammer B (2007)PUB | DOI
Fuzzy Labeled Self Organizing Map for Clasification of Spectra.
In: Computational and Ambient Intelligence. Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS, 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin: Springer: 556-563. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)PUB
Neural gas clustering for sparse proximity data.
In: Proceedings of the 9th International Work-Conference on Artificial Neural Networks.LNCS 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin, Heidelberg, Germany: Springer: 539-546. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907Schleif F-M, Hammer B, Villmann T (2007)PUB | DOI
Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra.
In: Computational and Ambient Intelligence. Proceedings of the 9th International Work-Conference on Artificial Neural Networks. LNCS, 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin, Heidelberg: Springer: 1036-1044. -
2007 | Report | Veröffentlicht | PUB-ID: 1992505Schleif F-M (2007)PUB
Preprocessing of Nuclear Magnetic Resonance Spectrometry Data. Machine Learning Reports.
Leipzig: Universität Leipzig. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586Strickert M, Schleif F-M (2007)PUB
Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments.
In: Proc. of MLSB 2007. 81-86. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593Strickert M, Schleif F-M, Seiffert U (2007)PUB
Gradients of Pearson Correlation for Analysis of Biomedical Data.
In: Proc. of ASAI 2007. 139-150. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Villmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M (2006)PUB
Prototype based classification using information theoretic learning.
In: Neural Information Processing, 13th International Conference. Proceedings. King I, Wang J, Chan L, Wang DLL (Eds); Lecture Notes in Computer Science, 4233, Part II. Berlin: Springer: 40-49. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B (2006)PUB | DOI
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Schwenker F (Ed); Berlin: Springer: 46-56. -
-
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Schleif F-M, Hammer B, Villmann T (2006)PUB
Margin based Active Learning for LVQ Networks.
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 539-544. -
2006 | Dissertation | PUB-ID: 1992511Schleif F-M (2006)PUB
Prototype based Machine Learning for Clinical Proteomics.
Clausthal-Zellerfeld, Germany: Technical University Clausthal. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)PUB
Machine Learning and Soft-Computing in Bioinformatics. A Short Journey.
In: Proc. of FLINS 2006. World Scientific Press: 541-548. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237Villmann T, Schleif F-M, Hammer B (2006)PUB | DOI | WoS | PubMed | Europe PMC
Comparison of relevance learning vector quantization with other metric adaptive classification methods.
Neural Networks 19(5): 610-622. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)PUB
Supervised median neural gas.
In: Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16. Dagli C, Buczak A, Enke D, Embrechts A, Ersoy O (Eds); ASME Press: 623-633. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)PUB
Supervised median clustering.
In: 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). Dagli CH (Ed); ASME Press series on intelligent engineering systems through artificial neural networks, 16, New York, NY: ASME Press: 623-632. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)PUB | DOI
Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps.
In: 19th IEEE International Symposium on Computer- based Medical Systems. Lee DJ, Nutter B, Antani S, Mitra S, Archibald J (Eds); Los Alamitos: IEEE Computer Society Press: 919-924. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445Brüß C, Bollenbeck F, Schleif F-M, Weschke W, Villmann T, Seiffert U (2006)PUB
Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas.
In: Proc. of ESANN 2006. 563-569. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W (2006)PUB | DOI | WoS | PubMed | Europe PMC
Fuzzy Classification by Fuzzy Labeled Neural Gas.
Neural Networks 19(6-7): 772-779. -
-
2006 | Report | Veröffentlicht | PUB-ID: 1993584Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)PUB
Supervised median clustering. IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W (2006)PUB | DOI
Learning vector quantization classification with local relevance determination for medical data.
In: Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029. Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada J (Eds); Lecture notes in computer science ; 4029 : Lecture notes in artificial intelligence, 4029. Berlin, Heidelberg: Springer: 603-612. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Villmann T, Hammer B, Schleif F-M, Geweniger T (2005)PUB
Fuzzy Labeled Neural GAS for Fuzzy Classification.
In: Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM]. Cottrell M (Ed); Paris, France: University Paris-1-Pantheon-Sorbonne: 283-290. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513Schleif F-M (2005)PUB
Plugins mit wxWidgets.
Offene Systeme 2005(1): 5-10. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Villmann T, Schleif F-M, Hammer B (2005)PUB
Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization.
In: International Workshop on Integrative Bioinformatics. . -
2005 | Report | Veröffentlicht | PUB-ID: 1993675Hammer B, Schleif F-M, Villmann T (2005)PUB
On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249Villmann T, Schleif F-M, Hammer B (2005)PUB
Fuzzy labeled soft nearest neighbor classification with relevance learning.
In: Proceedings of the International Conference of Machine Learning Applications. Wani MA, Cios KJ, Hafeez K (Eds); Los Angeles: IEEE Press: 11-15. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Schleif F-M, Villmann T, Hammer B (2005)PUB | DOI
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data.
In: Proceedings of the 6th Workshop on Fuzzy Logic and Applications. Bloch I, Petrosino A, Tettamanzi AGB (Eds); Berlin, Heidelberg: Springer: 290-296. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Villmann T, Hammer B, Schleif F-M (2004)PUB
Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection.
In: Proceedings of Selbstorganisation Von Adaptivem Verfahren. Fortschritts-Berichte VDI Reihe 10, Nr. 742. Groß H-M, Debes K, Böhme H-J (Eds); VDI Verlag: 592-597. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212Villmann T, Schleif F-M, Hammer B (2004)PUB
Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection.
In: SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. Groß H-M, Debes K, Böhme H-J (Eds); VDI Verlag. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Schleif F-M, Clauss U, Villmann T, Hammer B (2004)PUB
Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data.
In: Proceedings of the 3rd International Conference on Machine Learning and Applications (ICMLA) 2004. Wani MA, Cios KJ, Hafeez K (Eds); Los Alamitos, CA, USA: IEEE Press: 374-379. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Villmann T, Schleif F-M, Hammer B (2003)PUB
Supervised Neural Gas and Relevance Learning in Learning Vector Quantization.
In: Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM]. Yamakawa T (Ed); Hibikino, Kitakyushu, Japan: Kyushu Institute of Technology: 47-52. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2003)PUB
A mission for the EEG coherence analysis: Is the task complex or difficult?
Brain Topography 15(4): 271. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2003)PUB
Working memory load and EEG coherence.
Brain Topography 15(4): 269. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466Gruhn V, Hülder M, Ijoui R, Schleif F-M (2003)PUB
A distributed logistic support communication system.
In: Proceedings of ISD 2003 - Constructing the Infrastructure for the Knowledge Economy - Methods and Tools, Theory and Practice. Linger H, Fisher J, Wojtkowski WG, Zupancic J, Vigo K, Arnold J (Eds); London: Kluwer Academic Publishers: 705-713. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544Schleif F-M, Stamer H (2002)PUB
{LaTeX} im studentischen Alltag.
Gaotenblatt: 3-10. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2002)PUB
Complexity and difficulty in memory based comparison.
In: Proceedings of the 18th Meeting of the International Society for Psychophysics. da Silva JA, Filho NPR, Matsushima EH (Eds); Pabst Publishing: 433-439. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515Schleif F-M (2002)PUB
OCR mit statistischen Momenten.
Gaotenblatt 2002: 15-17. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560Simmel A, Dörfler T, Schleif F-M, Sommerfeld E (2001)PUB
An analysis of connections between internal and external learning process indicators using EEG coherence analysis.
In: Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing: 602-607. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2001)PUB
Complexity - dependent synchronization of brain subsystems during memorization.
In: Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing: 343-348.