129 Publications

Mark all

[129]
2015 | Journal Article | PUB-ID: 2710031
Metric learning for sequences in relational LVQ
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322.
PUB | PDF | DOI | WoS
 
[128]
2015 | Book Chapter | PUB-ID: 2910885
Large Scale Indefinite Kernel Fisher Discriminant
Schleif F-M, Gisbrecht A, Tino P (2015)
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.
PUB | DOI
 
[127]
2015 | Conference Paper | PUB-ID: 2910619
High Dimensional Matrix Relevance Learning
Schleif F-M, Villmann T, Zhu X (2015)
In: 2014 IEEE International Conference on Data Mining Workshop. Piscataway, NJ: IEEE.
PUB | DOI
 
[126]
2015 | Journal Article | PUB-ID: 2772422
Metric and non-metric proximity transformations at linear costs
Gisbrecht A, Schleif F-M (2015)
Neurocomputing 167: 643-657.
PUB | DOI | WoS
 
[125]
2015 | Journal Article | PUB-ID: 2759763
Sparse conformal prediction for dissimilarity data
Schleif F-M, Zhu X, Hammer B (2015)
Annals of Mathematics and Artificial Intelligence 74(1-2): 95-116.
PUB | DOI | WoS
 
[124]
2014 | Journal Article | PUB-ID: 2690490
Correlation-based embedding of pairwise score data
Strickert M, Bunte K, Schleif F-M, Huellermeier E (2014)
Neurocomputing 141: 97-109.
PUB | DOI | WoS
 
[123]
2014 | Journal Article | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96.
PUB | DOI | WoS
 
[122]
2014 | Journal Article | PUB-ID: 2672504
Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data
Zhu X, Schleif F-M, Hammer B (2014)
Pattern Recognition Lettters 49: 138-145.
PUB | DOI | WoS
 
[121]
2014 | Journal Article | PUB-ID: 2615730
Learning vector quantization for (dis-)similarities
Hammer B, Hofmann D, Schleif F-M, Zhu X (2014)
NeuroComputing 131: 43-51.
PUB | DOI | WoS
 
[120]
2013 | Journal Article | PUB-ID: 2612731
Novel approaches in machine learning and computational intelligence
Micheli A, Schleif F-M, Tino P (2013)
Neurocomputing 112: 1-3.
PUB | DOI | WoS
 
[119]
2013 | Conference Paper | PUB-ID: 2625202
Sparse prototype representation by core sets
Schleif F-M, Zhu X, Hammer B (2013)
In: IDEAL 2013. Hujun Yin et.al (Ed); .
PUB
 
[118]
2013 | Conference Paper | PUB-ID: 2615717
Secure Semi-supervised Vector Quantization for Dissimilarity Data
Zhu X, Schleif F-M, Hammer B (2013)
In: IWANN (1). Rojas I, Joya G, Cabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 347-356.
PUB | DOI
 
[117]
2013 | Conference Paper | PUB-ID: 2615701
Semi-Supervised Vector Quantization for proximity data
Zhu X, Schleif F-M, Hammer B (2013)
In: Proceedings of ESANN 2013. 89-94.
PUB
 
[116]
2013 | Conference Paper | PUB-ID: 2615724
Data Analysis of (Non-)Metric Proximities at Linear Costs
Schleif F-M, Gisbrecht A (2013)
In: Proceedings of SIMBAD 2013. Springer: 59-74.
PUB | DOI
 
[115]
2012 | Journal Article | PUB-ID: 2625232
Linear Time Relational Prototype Based Learning
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
Int. J. Neural Syst. 22(5).
PUB | DOI | WoS | PubMed | Europe PMC
 
[114]
2012 | Conference Paper | PUB-ID: 2615750
Fast approximated relational and kernel clustering
Schleif F-M, Zhu X, Gisbrecht A, Hammer B (2012)
In: Proceedings of ICPR 2012. IEEE: 1229-1232.
PUB
 
[113]
2012 | Conference Paper | PUB-ID: 2615756
Soft Competitive Learning for large data sets
Schleif F-M, Zhu X, Hammer B (2012)
In: Proceedings of MCSD 2012. 141-151.
PUB | DOI
 
[112]
2012 | Conference Paper | PUB-ID: 2615745
Adaptive Learning for complex-valued data
Bunte K, Schleif F-M, Biehl M (2012)
In: Proceedings of ESANN 2012. 387-392.
PUB
 
[111]
2012 | Conference Paper | PUB-ID: 2534877
Learning Relevant Time Points for Time-Series Data in the Life Sciences
Schleif F-M, Mokbel B, Gisbrecht A, Theunissen L, Dürr V, Hammer B (2012)
In: ICANN (2). Lecture Notes in Computer Science, 7553. 531-539.
PUB | DOI
 
[110]
2012 | Conference Paper | PUB-ID: 2534905
Relevance learning for short high-dimensional time series in the life sciences
Schleif F-M, Gisbrecht A, Hammer B (2012)
In: IJCNN. 1-8.
PUB | DOI
 
[109]
2012 | Journal Article | PUB-ID: 2489405
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2012)
Neural Networks 26: 159-173.
PUB | DOI | WoS | PubMed | Europe PMC
 
[108]
2012 | Journal Article | PUB-ID: 2509852
Approximation techniques for clustering dissimilarity data
Zhu X, Gisbrecht A, Schleif F-M, Hammer B (2012)
Neurocomputing 90: 72-84.
PUB | DOI | WoS
 
[107]
2012 | Conference Paper | PUB-ID: 2534910
Patch Processing for Relational Learning Vector Quantization
Zhu X, Schleif F-M, Hammer B (2012)
In: ISNN (1). 55-63.
PUB | DOI
 
[106]
2012 | Conference Paper | PUB-ID: 2534898
Large margin linear discriminative visualization by Matrix Relevance Learning
Biehl M, Bunte K, Schleif F-M, Schneider P, Villmann T (2012)
In: IJCNN. 1-8.
PUB | DOI
 
[105]
2012 | Conference Paper | PUB-ID: 2534888
A Conformal Classifier for Dissimilarity Data
Schleif F-M, Zhu X, Hammer B (2012)
In: AIAI (2). 234-243.
PUB | DOI
 
[104]
2012 | Conference Paper | PUB-ID: 2534868
White Box Classification of Dissimilarity Data
Hammer B, Mokbel B, Schleif F-M, Zhu X (2012)
In: HAIS (1). 309-321.
PUB | DOI | WoS
 
[103]
2012 | Journal Article | PUB-ID: 2534839
Linear Time Relational Prototype Based Learning
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
Int. J. Neural Syst. 22(05): 1250021.
PUB | DOI | WoS | PubMed | Europe PMC
 
[102]
2011 | Preprint | PUB-ID: 2534994 PUB | arXiv
 
[101]
2011 | Journal Article | PUB-ID: 2309980
Efficient Kernelized Prototype-based Classification
Schleif F-M, Villmann T, Hammer B, Schneider P (2011)
International Journal of Neural Systems 21(06): 443-457.
PUB | DOI | WoS | PubMed | Europe PMC
 
[100]
2011 | Conference Paper | PUB-ID: 2276480
Linear time heuristics for topographic mapping of dissimilarity data
Gisbrecht A, Schleif F-M, Zhu X, Hammer B (2011)
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.
PUB | DOI
 
[99]
2011 | Conference Paper | PUB-ID: 2276640
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
Bunte K, Schleif F-M, Villmann T (2011)
In: Proceedings of ESANN 2011. Ciaco - i6doc.com: 29-34.
PUB
 
[98]
2011 | Journal Article | PUB-ID: 2290045
Advances in artificial neural networks, machine learning, and computational intelligence
Lee JA, Schleif F-M, Martinetz T (2011)
Neurocomputing 74(9): 1299-1300.
PUB | DOI | WoS
 
[97]
2011 | Journal Article | PUB-ID: 1992489
Divergence based classification in Learning Vector Quantization
Mwebaze E, Schneider P, Schleif F-M, Aduwo JR, Quinn JA, Haase S, Villmann T, Biehl M (2011)
Neurocomputing 74(9): 1429-1435.
PUB | DOI | WoS
 
[96]
2011 | Journal Article | PUB-ID: 2094556
Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications
Schleif F-M, Riemer T, Boerner U, Schnapka-Hille L, Cross M (2011)
Bioinformatics 27(4): 524-533.
PUB | DOI | WoS | PubMed | Europe PMC
 
[95]
2011 | Conference Paper | PUB-ID: 2276644
Recent Trends in Computational Intelligence in Life Science
Seiffert U, Schleif F-M, Zühlke D (2011)
In: Proceedings of ESANN 2011. 77-86.
PUB
 
[94]
2011 | Conference Paper | PUB-ID: 2276636
Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology
Schleif F-M, Simmuteit S, Villmann T (2011)
In: Proceedings of AIA 2011. in press.
PUB
 
[93]
2011 | Conference Paper | PUB-ID: 2276654
Sparse Kernel Vector Quantization with Local Dependencies
Schleif F-M (2011)
In: Proceedings of IJCNN 2011. accepted.
PUB
 
[92]
2011 | Conference Paper | PUB-ID: 2276648
Multivariate class labeling in Robust Soft LVQ
Schneider P, Geweniger T, Schleif F-M, Biehl M, Villmann T (2011)
In: Proceedings of ESANN 2011. 17-22.
PUB
 
[91]
2011 | Conference Paper | PUB-ID: 2276492
Accelerating Kernel Neural Gas
Schleif F-M, Gisbrecht A, Hammer B (2011)
In: ICANN'2011. Kaski S, Honkela T, Gitolami M, Dutch W (Eds); .
PUB
 
[90]
2011 | Conference Paper | PUB-ID: 2276485
Topographic Mapping of Dissimilarity Data
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
In: WSOM'11.
PUB
 
[89]
2011 | Conference Paper | PUB-ID: 2276522
Accelerating dissimilarity clustering for biomedical data analysis
Gisbrecht A, Hammer B, Schleif F-M, Zhu X (2011)
In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp.154-161.
PUB
 
[88]
2010 | Conference Paper | PUB-ID: 1993978
Generalized derivative based Kernelized learning vector quantization
Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M (2010)
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.
PUB | DOI
 
[87]
2010 | Conference Paper | PUB-ID: 1992623
Learning vector quantization for heterogeneous structured data
Zühlke D, Schleif F-M, Geweniger T, Villmann T (2010)
In: Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010. Evere, Belgium: d-side publications.
PUB
 
[86]
2010 | Conference Paper | PUB-ID: 2276630
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)
In: Proceedings of WCSB 2010. 91-94.
PUB
 
[85]
2010 | Conference Paper | PUB-ID: 2276626
Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging
Simmuteit S, Schleif F-M, Villmann T (2010)
In: Proceedings of WCSB 2010. 103-106.
PUB
 
[84]
2010 | Conference Paper | PUB-ID: 1994127
Divergence Based Online Learning in Vector Quantization
Villmann T, Haase S, Schleif F-M, Hammer B (2010)
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.
PUB | DOI
 
[83]
2010 | Conference Paper | PUB-ID: 1994227
Sparse representation of data
Villmann T, Schleif F-M, Hammer B (2010)
In: ESANN'10. Verleysen M (Ed); D side: 225-234.
PUB
 
[82]
2010 | Conference Paper | PUB-ID: 1994138
The Mathematics of Divergence Based Online Learning in Vector Quanitzation
Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)
In: ANNPR'2010. El Gayar N, Schwenker F (Eds); Berlin, Heidelberg: Springer: 108-119.
PUB
 
[81]
2010 | Journal Article | PUB-ID: 1994034
Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints
Simmuteit S, Schleif F-M, Villmann T, Hammer B (2010)
Knowledge and Information Systems 25(2): 327-343.
PUB | DOI | WoS
 
[80]
2010 | Conference Paper | PUB-ID: 1992498
Divergence based Learning Vector Quantization
Mwebaze E, Schneider P, Schleif F-M, Haase S, Villmann T, Biehl M (In Press)
In: Proceedings of ESANN 2010.
PUB
 
[79]
2010 | Journal Article | PUB-ID: 1992441
Advances in computational intelligence and learning
Angulo C, Lee JA, Schleif F-M (2010)
NeuroComputing 73(7-9): 1049-1050.
PUB | DOI | WoS
 
[78]
2009 | Journal Article | PUB-ID: 1993984
Cancer Informatics by Prototype-networks in Mass Spectrometry
Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)
Artificial Intelligence in Medicine 45(2-3): 215-228.
PUB | DOI | WoS | PubMed | Europe PMC
 
[77]
2009 | Journal Article | PUB-ID: 1992547
Advances in machine learning and computational intelligence
Schleif F-M, Biehl M, Vellido A (2009)
NeuroComputing 72(7-9): 1377-1378.
PUB | DOI | WoS
 
[76]
2009 | Conference Paper | PUB-ID: 1992551
Neural Maps and Learning Vector Quantization - Theory and Applications
Schleif F-M, Villmann T (2009)
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.
PUB
 
[75]
2009 | Journal Article | PUB-ID: 1992526
Supervised data analysis and reliability estimation for spectral data
Schleif F-M, Villmann T, Ongyerth M (2009)
NeuroComputing 72(16-18): 3590-3601.
PUB | DOI | WoS
 
[74]
2009 | Book Chapter | PUB-ID: 1992575
Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria
Simmuteit S, Simmuteit J, Schleif F-M, Villmann T (2009)
In: ICOLE 2009. Blazewicz J, Ecker K, Hammer B (Eds); IfI-09-12. Clausthal-Zellerfeld, Germany: Technical University of Clausthal: 104-112.
PUB
 
[73]
2009 | Journal Article | PUB-ID: 1992517
Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform
Schleif F-M, Lindemann M, Maass P, Diaz M, Decker J, Elssner T, Kuhn M, Thiele H (2009)
Computing and Visualization in Science 12(4): 189-199.
PUB | DOI
 
[72]
2009 | Book Chapter | PUB-ID: 1992534
Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements
Schleif F-M, Riemer T, Boerner U, Cross M (2009)
In: ICOLE 2009. Blazewicz J, Ecker K, Hammer B (Eds); IfI-09-12. Clausthal-Zellerfeld, Germany: Technical University of Clausthal: 89-103.
PUB
 
[71]
2009 | Conference Paper | PUB-ID: 1992565
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 T (2009)
In: Proceedings of ICMLA 2009. IEEE Press: 563--567.
PUB | DOI
 
[70]
2009 | Conference Paper | PUB-ID: 1992570
Hierarchical PCA using Tree-SOM for the Identification of Bacteria
Simmuteit S, Schleif F-M, Villmann T, Kostrzewa M (2009)
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.
PUB | DOI
 
[69]
2009 | Book Chapter | PUB-ID: 1994067
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data
Strickert M, Schleif F-M, Villmann T, Seiffert U (2009)
In: Similarity-based Clustering. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); LNAI, 5400. Berlin: Springer: 70-91.
PUB | DOI
 
[68]
2009 | Conference Paper | PUB-ID: 1992580
Matrix metric adaptation for improved linear discriminant analysis of biomedical data
Strickert M, Keilwagen J, Schleif F-M, T. Villmann T, Biehl M (2009)
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.
PUB | DOI
 
[67]
2009 | Conference Paper | PUB-ID: 1992607
Functional Vector Quantization by Neural Maps
Villmann T, Schleif F-M (2009)
In: Proceedings of Whispers 2009.
PUB | DOI
 
[66]
2009 | Report | PUB-ID: 1993316
Stationarity of Matrix Relevance Learning Vector Quantization
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2009) Machine Learning Reports.
Leipzig: Universität Leipzig.
PUB
 
[65]
2008 | Journal Article | PUB-ID: 1994253
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)
Briefings in Bioinformatics 9(2): 129-143.
PUB | DOI | WoS | PubMed | Europe PMC
 
[64]
2008 | Journal Article | PUB-ID: 2017617
Fuzzy Classification Using Information Theoretic Learning Vector Quantization
Villmann T, Hammer B, Schleif F-M, Hermann W, Cottrell M (2008)
Neurocomputing 71(16-18): 3070-3076.
PUB | DOI | WoS
 
[63]
2008 | Conference Paper | PUB-ID: 1992530
Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy
Schleif F-M, Ongyerth M, Villmann T (2008)
In: Proceedings of the CBMS 2008. 620-625.
PUB | DOI
 
[62]
2008 | Conference Paper | PUB-ID: 1992597
Metric adaptation for supervised attribute rating
Strickert M, Schleif F-M, Villmann T (2008)
In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Verleysen M (Ed); Evere, Belgium: d-side publications: 31-36.
PUB
 
[61]
2008 | Conference Paper | PUB-ID: 1992554
Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data
Schneider P, Schleif F-M, Villmann T, Biehl M (2008)
In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Verleysen M (Ed); Evere, Belgium: d-side publications: 451-456.
PUB
 
[60]
2008 | Journal Article | PUB-ID: 1992589
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data
Strickert M, Schleif F-M, Seiffert U (2008)
Ibero-American Journal of Artificial Intelligence 37(12): 37-44.
PUB
 
[59]
2008 | Conference Paper | PUB-ID: 1992539
Automatic Identification and Quantification of Metabolites in H-NMR Measurements
Schleif F-M, Riemer T, Cross M, Villmann T (2008)
In: Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008. 165-168.
PUB
 
[58]
2008 | Journal Article | PUB-ID: 1993966
Prototype based Fuzzy Classification in Clinical Proteomics
Schleif F-M, Villmann T, Hammer B (2008)
International Journal of Approximate Reasoning 47(1): 4-16.
PUB | DOI | WoS
 
[57]
2008 | Book Chapter | PUB-ID: 1993939
Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics
Schleif F-M, Villmann T, Hammer B (2008)
In: Encyclopedia of Artificial Intelligence. Dopico JR-n R-al, Dorado J, Pazos A (Eds); IGI Global: 1337-1342.
PUB
 
[56]
2008 | Report | PUB-ID: 1993379
Discriminative Visualization by Limited Rank Matrix Learning
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2008) Machine Learning Reports.
Leipzig: Universität Leipzig.
PUB
 
[55]
2008 | Conference Paper | PUB-ID: 2001836
Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity
Geweniger T, Schleif F-M, Hasenfuss A, Hammer B, Villmann T (2008)
In: ICONIP 2008. Köppen M, Kasabov NK, Coghill GG (Eds); Berlin, Heidelberg: Springer: 61-69.
PUB | DOI
 
[54]
2008 | Book Chapter | PUB-ID: 1993900
Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers
Schleif F-M, Hammer B, Villmann T (2008)
In: Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Van de Werff M, Delder A, Tollenaar R (Eds); Berlin: Springer: 141-167.
PUB | DOI
 
[53]
2007 | Book Chapter | PUB-ID: 1992509
Prototypen basiertes maschinelles Lernen in der klinischen Proteomik
Schleif F-M (2007)
In: Ausgezeichnete Informatikdissertationen 2006. Wagner D (Ed); GI-Edition Lecture Notes in Informatics. Dissertation, 7. Bonn: Gesellschaft für Informatik: 179-188.
PUB
 
[52]
2007 | Conference Paper | PUB-ID: 1992610
Association learning in SOMs for Fuzzy-Classification
Villmann T, Schleif F-M, v.d.Werff M, Deelder A, Tollenaar R (2007)
In: 6th International Conference on Machine Learning and Applications, 2007. 581-586.
PUB | DOI
 
[51]
2007 | Journal Article | PUB-ID: 1992507
Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik
Schleif F-M (2007)
KI - Künstliche Intelligenz (4): 65-67.
PUB
 
[50]
2007 | Conference Paper | PUB-ID: 1992616
Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS
Villmann T, Strickert M, Brüß C, Schleif F-M, Seiffert U (2007)
In: Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN) 2007. Verleysen M (Ed); Evere, Belgium: d-side publications: 103-108.
PUB
 
[49]
2007 | Conference Paper | PUB-ID: 1992586
Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments
Strickert M, Schleif F-M (2007)
In: Proc. of MLSB 2007. 81-86.
PUB
 
[48]
2007 | Conference Paper | PUB-ID: 1992593
Gradients of Pearson Correlation for Analysis of Biomedical Data
Strickert M, Schleif F-M, Seiffert U (2007)
In: Proc. of ASAI 2007. 139-150.
PUB
 
[47]
2007 | Report | PUB-ID: 1992505
Preprocessing of Nuclear Magnetic Resonance Spectrometry Data
Schleif F-M (2007) Machine Learning Reports.
Leipzig: Universität Leipzig.
PUB
 
[46]
2007 | Conference Paper | PUB-ID: 1992602
Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data
Strickert M, Schleif F-M, Villmann T, Seiffert U (2007)
In: Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400.
PUB | DOI
 
[45]
2007 | Conference Paper | PUB-ID: 1993852
Advances in pre-processing and model generation for mass spectrometric data analysis
Schleif F-M (2007)
In: Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); (07131). Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany.
PUB
 
[44]
2007 | Conference Paper | PUB-ID: 1992452
Statistical Classification and Visualization of MALDI-Imaging Data
Deininger S-O, Gerhard M, Schleif F-M (2007)
In: Proc. of CBMS 2007. 403-405.
PUB
 
[43]
2007 | Conference Paper | PUB-ID: 1993907
Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra
Schleif F-M, Hammer B, Villmann T (2007)
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.
PUB | DOI
 
[42]
2007 | Conference Paper | PUB-ID: 1993820
Neural gas clustering for sparse proximity data
Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)
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.
PUB
 
[41]
2007 | Conference Paper | PUB-ID: 1993811
Neural gas clustering for dissimilarity data with continuous prototypes
Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)
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.
PUB | DOI
 
[40]
2007 | Journal Article | PUB-ID: 1993911
Margin based Active Learning for LVQ Networks
Schleif F-M, Hammer B, Villmann T (2007)
Neurocomputing 70(7-9): 1215-1224.
PUB | DOI | WoS
 
[39]
2007 | Conference Paper | PUB-ID: 1993547
Intuitive Clustering of Biological Data
Hammer B, Hasenfuss A, Schleif F-M, Villmann T, Strickert M, Seiffert U (2007)
In: Proceedings of International Joint Conference on Neural Networks. IEEE: 1877-1882.
PUB | DOI
 
[38]
2007 | Conference Paper | PUB-ID: 1994258
Fuzzy Labeled Self Organizing Map for Clasification of Spectra
Villmann T, Schleif F-M, Merenyi E, Hammer B (2007)
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.
PUB | DOI
 
[37]
2007 | Conference Paper | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOM
Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps.
PUB
 
[36]
2007 | Conference Paper | PUB-ID: 1993970
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps
Schleif F-M, Villmann T, Hammer B (2007)
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.
PUB | DOI
 
[35]
2007 | Report | PUB-ID: 1993922
Aggregation of multiple peak lists by use of an improved neural gas network
Schleif F-M, Hasenfuss A, Hammer B (2007)
Leipzig: Universität Leipzig.
PUB
 
[34]
2007 | Conference Paper | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data
Schneider P, Biehl M, Schleif F-M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps.
PUB
 
[33]
2006 | Conference Paper | PUB-ID: 1994184
Prototype based classification using information theoretic learning
Villmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M (2006)
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.
PUB
 
[32]
2006 | Conference Paper | PUB-ID: 1993594
Supervised median clustering
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
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.
PUB
 
[31]
2006 | Journal Article | PUB-ID: 1994237
Comparison of relevance learning vector quantization with other metric adaptive classification methods
Villmann T, Schleif F-M, Hammer B (2006)
Neural Networks 19(5): 610-622.
PUB | DOI | WoS | PubMed | Europe PMC
 
[30]
2006 | Conference Paper | PUB-ID: 2017225
Learning vector quantization classification with local relevance determination for medical data
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W (2006)
In: Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029. Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada J (Eds); Berlin, Heidelberg: Springer: 603-612.
PUB | DOI
 
[29]
2006 | Dissertation | PUB-ID: 1992511
Prototype based Machine Learning for Clinical Proteomics
Schleif F-M (2006)
Clausthal-Zellerfeld, Germany: Technical University Clausthal.
PUB
 
[28]
2006 | Conference Paper | PUB-ID: 1992445
Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas
Brüß C, Bollenbeck F, Schleif F-M, Weschke W, Villmann T, Seiffert U (2006)
In: Proc. of ESANN 2006. 563-569.
PUB
 
[27]
2006 | Conference Paper | PUB-ID: 1993568
Supervised median neural gas
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
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.
PUB
 
[26]
2006 | Report | PUB-ID: 1993584
Supervised median clustering
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology.
PUB
 
[25]
2006 | Conference Paper | PUB-ID: 1993578
Supervised Batch Neural Gas
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR). Schwenker F (Ed); Berlin: Springer Verlag: 33-45.
PUB | DOI
 
[24]
2006 | Journal Article | PUB-ID: 1994241
Prototype-based fuzzy classification with local relevance for proteomics
Villmann T, Schleif F-M, Hammer B (2006)
Neurocomputing 69(16-18): 2425-2428.
PUB | DOI | WoS
 
[23]
2006 | Conference Paper | PUB-ID: 1993895
Margin based Active Learning for LVQ Networks
Schleif F-M, Hammer B, Villmann T (2006)
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 539-544.
PUB
 
[22]
2006 | Conference Paper | PUB-ID: 1993889
Machine Learning and Soft-Computing in Bioinformatics. A Short Journey
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
In: Proc. of FLINS 2006. World Scientific Press: 541-548.
PUB
 
[21]
2006 | Conference Paper | PUB-ID: 1994273
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B (2006)
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Schwenker F (Ed); Berlin: Springer: 46-56.
PUB | DOI
 
[20]
2006 | Journal Article | PUB-ID: 1994195
Fuzzy Classification by Fuzzy Labeled Neural Gas
Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W (2006)
Neural Networks 19(6-7): 772-779.
PUB | DOI | WoS | PubMed | Europe PMC
 
[19]
2006 | Conference Paper | PUB-ID: 1993878
Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
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.
PUB | DOI
 
[18]
2005 | Journal Article | PUB-ID: 1992513
Plugins mit wxWidgets
Schleif F-M (2005)
Offene Systeme 2005(1): 5-10.
PUB
 
[17]
2005 | Report | PUB-ID: 1993675
On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination
Hammer B, Schleif F-M, Villmann T (2005) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology.
PUB
 
[16]
2005 | Conference Paper | PUB-ID: 1993974
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data
Schleif F-M, Villmann T, Hammer B (2005)
In: Proceedings of the 6th Workshop on Fuzzy Logic and Applications. Bloch I, Petrosino A, Tettamanzi AGB (Eds); Berlin, Heidelberg: Springer: 290-296.
PUB | DOI
 
[15]
2005 | Conference Paper | PUB-ID: 1994249
Fuzzy labeled soft nearest neighbor classification with relevance learning
Villmann T, Schleif F-M, Hammer B (2005)
In: Proceedings of the International Conference of Machine Learning Applications. Wani MA, Cios KJ, Hafeez K (Eds); Los Angeles: IEEE Press: 11-15.
PUB
 
[14]
2005 | Conference Paper | PUB-ID: 1994172
Fuzzy Labeled Neural GAS for Fuzzy Classification
Villmann T, Hammer B, Schleif F-M, Geweniger T (2005)
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.
PUB
 
[13]
2005 | Conference Paper | PUB-ID: 1994219
Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization
Villmann T, Schleif F-M, Hammer B (2005)
In: International Workshop on Integrative Bioinformatics.
PUB
 
[12]
2004 | Conference Paper | PUB-ID: 1993870
Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data
Schleif F-M, Clauss U, Villmann T, Hammer B (2004)
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.
PUB
 
[11]
2004 | Conference Paper | PUB-ID: 1994168
Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection
Villmann T, Hammer B, Schleif F-M (2004)
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.
PUB
 
[10]
2004 | Conference Paper | PUB-ID: 1994212
Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection
Villmann T, Schleif F-M, Hammer B (2004)
In: SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. Groß H-M, Debes K, Böhme H-J (Eds); VDI Verlag.
PUB
 
[9]
2003 | Journal Article | PUB-ID: 1992456
Working memory load and EEG coherence
Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2003)
Brain Topography 15(4): 269.
PUB
 
[8]
2003 | Journal Article | PUB-ID: 1992477
A mission for the EEG coherence analysis: Is the task complex or difficult?
Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2003)
Brain Topography 15(4): 271.
PUB
 
[7]
2003 | Conference Paper | PUB-ID: 1992466
A distributed logistic support communication system
Gruhn V, Hülder M, Ijoui R, Schleif F-M (2003)
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.
PUB
 
[6]
2003 | Conference Paper | PUB-ID: 1994223
Supervised Neural Gas and Relevance Learning in Learning Vector Quantization
Villmann T, Schleif F-M, Hammer B (2003)
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.
PUB
 
[5]
2002 | Journal Article | PUB-ID: 1992515
OCR mit statistischen Momenten
Schleif F-M (2002)
Gaotenblatt 2002: 15-17.
PUB
 
[4]
2002 | Conference Paper | PUB-ID: 1992483
Complexity and difficulty in memory based comparison
Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2002)
In: Proceedings of the 18th Meeting of the International Society for Psychophysics. da Silva JA, Filho NPR, Matsushima EH (Eds); Pabst Publishing: 433-439.
PUB
 
[3]
2002 | Journal Article | PUB-ID: 1992544
{LaTeX} im studentischen Alltag
Schleif F-M, Stamer H (2002)
Gaotenblatt: 3-10.
PUB
 
[2]
2001 | Conference Paper | PUB-ID: 1992461
Complexity - dependent synchronization of brain subsystems during memorization
Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2001)
In: Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing: 343-348.
PUB
 
[1]
2001 | Conference Paper | PUB-ID: 1992560
An analysis of connections between internal and external learning process indicators using EEG coherence analysis
Simmel A, Dörfler T, Schleif F-M, Sommerfeld E (2001)
In: Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing: 602-607.
PUB
 

Search

Filter Publications

Display / Sort

Export / Embed

129 Data Publications

Mark all

[129]
2015 | Journal Article | PUB-ID: 2710031
Metric learning for sequences in relational LVQ
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322.
PUB | PDF | DOI | WoS
 
[128]
2015 | Book Chapter | PUB-ID: 2910885
Large Scale Indefinite Kernel Fisher Discriminant
Schleif F-M, Gisbrecht A, Tino P (2015)
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.
PUB | DOI
 
[127]
2015 | Conference Paper | PUB-ID: 2910619
High Dimensional Matrix Relevance Learning
Schleif F-M, Villmann T, Zhu X (2015)
In: 2014 IEEE International Conference on Data Mining Workshop. Piscataway, NJ: IEEE.
PUB | DOI
 
[126]
2015 | Journal Article | PUB-ID: 2772422
Metric and non-metric proximity transformations at linear costs
Gisbrecht A, Schleif F-M (2015)
Neurocomputing 167: 643-657.
PUB | DOI | WoS
 
[125]
2015 | Journal Article | PUB-ID: 2759763
Sparse conformal prediction for dissimilarity data
Schleif F-M, Zhu X, Hammer B (2015)
Annals of Mathematics and Artificial Intelligence 74(1-2): 95-116.
PUB | DOI | WoS
 
[124]
2014 | Journal Article | PUB-ID: 2690490
Correlation-based embedding of pairwise score data
Strickert M, Bunte K, Schleif F-M, Huellermeier E (2014)
Neurocomputing 141: 97-109.
PUB | DOI | WoS
 
[123]
2014 | Journal Article | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96.
PUB | DOI | WoS
 
[122]
2014 | Journal Article | PUB-ID: 2672504
Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data
Zhu X, Schleif F-M, Hammer B (2014)
Pattern Recognition Lettters 49: 138-145.
PUB | DOI | WoS
 
[121]
2014 | Journal Article | PUB-ID: 2615730
Learning vector quantization for (dis-)similarities
Hammer B, Hofmann D, Schleif F-M, Zhu X (2014)
NeuroComputing 131: 43-51.
PUB | DOI | WoS
 
[120]
2013 | Journal Article | PUB-ID: 2612731
Novel approaches in machine learning and computational intelligence
Micheli A, Schleif F-M, Tino P (2013)
Neurocomputing 112: 1-3.
PUB | DOI | WoS
 
[119]
2013 | Conference Paper | PUB-ID: 2625202
Sparse prototype representation by core sets
Schleif F-M, Zhu X, Hammer B (2013)
In: IDEAL 2013. Hujun Yin et.al (Ed); .
PUB
 
[118]
2013 | Conference Paper | PUB-ID: 2615717
Secure Semi-supervised Vector Quantization for Dissimilarity Data
Zhu X, Schleif F-M, Hammer B (2013)
In: IWANN (1). Rojas I, Joya G, Cabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 347-356.
PUB | DOI
 
[117]
2013 | Conference Paper | PUB-ID: 2615701
Semi-Supervised Vector Quantization for proximity data
Zhu X, Schleif F-M, Hammer B (2013)
In: Proceedings of ESANN 2013. 89-94.
PUB
 
[116]
2013 | Conference Paper | PUB-ID: 2615724
Data Analysis of (Non-)Metric Proximities at Linear Costs
Schleif F-M, Gisbrecht A (2013)
In: Proceedings of SIMBAD 2013. Springer: 59-74.
PUB | DOI
 
[115]
2012 | Journal Article | PUB-ID: 2625232
Linear Time Relational Prototype Based Learning
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
Int. J. Neural Syst. 22(5).
PUB | DOI | WoS | PubMed | Europe PMC
 
[114]
2012 | Conference Paper | PUB-ID: 2615750
Fast approximated relational and kernel clustering
Schleif F-M, Zhu X, Gisbrecht A, Hammer B (2012)
In: Proceedings of ICPR 2012. IEEE: 1229-1232.
PUB
 
[113]
2012 | Conference Paper | PUB-ID: 2615756
Soft Competitive Learning for large data sets
Schleif F-M, Zhu X, Hammer B (2012)
In: Proceedings of MCSD 2012. 141-151.
PUB | DOI
 
[112]
2012 | Conference Paper | PUB-ID: 2615745
Adaptive Learning for complex-valued data
Bunte K, Schleif F-M, Biehl M (2012)
In: Proceedings of ESANN 2012. 387-392.
PUB
 
[111]
2012 | Conference Paper | PUB-ID: 2534877
Learning Relevant Time Points for Time-Series Data in the Life Sciences
Schleif F-M, Mokbel B, Gisbrecht A, Theunissen L, Dürr V, Hammer B (2012)
In: ICANN (2). Lecture Notes in Computer Science, 7553. 531-539.
PUB | DOI
 
[110]
2012 | Conference Paper | PUB-ID: 2534905
Relevance learning for short high-dimensional time series in the life sciences
Schleif F-M, Gisbrecht A, Hammer B (2012)
In: IJCNN. 1-8.
PUB | DOI
 
[109]
2012 | Journal Article | PUB-ID: 2489405
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2012)
Neural Networks 26: 159-173.
PUB | DOI | WoS | PubMed | Europe PMC
 
[108]
2012 | Journal Article | PUB-ID: 2509852
Approximation techniques for clustering dissimilarity data
Zhu X, Gisbrecht A, Schleif F-M, Hammer B (2012)
Neurocomputing 90: 72-84.
PUB | DOI | WoS
 
[107]
2012 | Conference Paper | PUB-ID: 2534910
Patch Processing for Relational Learning Vector Quantization
Zhu X, Schleif F-M, Hammer B (2012)
In: ISNN (1). 55-63.
PUB | DOI
 
[106]
2012 | Conference Paper | PUB-ID: 2534898
Large margin linear discriminative visualization by Matrix Relevance Learning
Biehl M, Bunte K, Schleif F-M, Schneider P, Villmann T (2012)
In: IJCNN. 1-8.
PUB | DOI
 
[105]
2012 | Conference Paper | PUB-ID: 2534888
A Conformal Classifier for Dissimilarity Data
Schleif F-M, Zhu X, Hammer B (2012)
In: AIAI (2). 234-243.
PUB | DOI
 
[104]
2012 | Conference Paper | PUB-ID: 2534868
White Box Classification of Dissimilarity Data
Hammer B, Mokbel B, Schleif F-M, Zhu X (2012)
In: HAIS (1). 309-321.
PUB | DOI | WoS
 
[103]
2012 | Journal Article | PUB-ID: 2534839
Linear Time Relational Prototype Based Learning
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
Int. J. Neural Syst. 22(05): 1250021.
PUB | DOI | WoS | PubMed | Europe PMC
 
[102]
2011 | Preprint | PUB-ID: 2534994 PUB | arXiv
 
[101]
2011 | Journal Article | PUB-ID: 2309980
Efficient Kernelized Prototype-based Classification
Schleif F-M, Villmann T, Hammer B, Schneider P (2011)
International Journal of Neural Systems 21(06): 443-457.
PUB | DOI | WoS | PubMed | Europe PMC
 
[100]
2011 | Conference Paper | PUB-ID: 2276480
Linear time heuristics for topographic mapping of dissimilarity data
Gisbrecht A, Schleif F-M, Zhu X, Hammer B (2011)
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.
PUB | DOI
 
[99]
2011 | Conference Paper | PUB-ID: 2276640
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
Bunte K, Schleif F-M, Villmann T (2011)
In: Proceedings of ESANN 2011. Ciaco - i6doc.com: 29-34.
PUB
 
[98]
2011 | Journal Article | PUB-ID: 2290045
Advances in artificial neural networks, machine learning, and computational intelligence
Lee JA, Schleif F-M, Martinetz T (2011)
Neurocomputing 74(9): 1299-1300.
PUB | DOI | WoS
 
[97]
2011 | Journal Article | PUB-ID: 1992489
Divergence based classification in Learning Vector Quantization
Mwebaze E, Schneider P, Schleif F-M, Aduwo JR, Quinn JA, Haase S, Villmann T, Biehl M (2011)
Neurocomputing 74(9): 1429-1435.
PUB | DOI | WoS
 
[96]
2011 | Journal Article | PUB-ID: 2094556
Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications
Schleif F-M, Riemer T, Boerner U, Schnapka-Hille L, Cross M (2011)
Bioinformatics 27(4): 524-533.
PUB | DOI | WoS | PubMed | Europe PMC
 
[95]
2011 | Conference Paper | PUB-ID: 2276644
Recent Trends in Computational Intelligence in Life Science
Seiffert U, Schleif F-M, Zühlke D (2011)
In: Proceedings of ESANN 2011. 77-86.
PUB
 
[94]
2011 | Conference Paper | PUB-ID: 2276636
Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology
Schleif F-M, Simmuteit S, Villmann T (2011)
In: Proceedings of AIA 2011. in press.
PUB
 
[93]
2011 | Conference Paper | PUB-ID: 2276654
Sparse Kernel Vector Quantization with Local Dependencies
Schleif F-M (2011)
In: Proceedings of IJCNN 2011. accepted.
PUB
 
[92]
2011 | Conference Paper | PUB-ID: 2276648
Multivariate class labeling in Robust Soft LVQ
Schneider P, Geweniger T, Schleif F-M, Biehl M, Villmann T (2011)
In: Proceedings of ESANN 2011. 17-22.
PUB
 
[91]
2011 | Conference Paper | PUB-ID: 2276492
Accelerating Kernel Neural Gas
Schleif F-M, Gisbrecht A, Hammer B (2011)
In: ICANN'2011. Kaski S, Honkela T, Gitolami M, Dutch W (Eds); .
PUB
 
[90]
2011 | Conference Paper | PUB-ID: 2276485
Topographic Mapping of Dissimilarity Data
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
In: WSOM'11.
PUB
 
[89]
2011 | Conference Paper | PUB-ID: 2276522
Accelerating dissimilarity clustering for biomedical data analysis
Gisbrecht A, Hammer B, Schleif F-M, Zhu X (2011)
In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp.154-161.
PUB
 
[88]
2010 | Conference Paper | PUB-ID: 1993978
Generalized derivative based Kernelized learning vector quantization
Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M (2010)
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.
PUB | DOI
 
[87]
2010 | Conference Paper | PUB-ID: 1992623
Learning vector quantization for heterogeneous structured data
Zühlke D, Schleif F-M, Geweniger T, Villmann T (2010)
In: Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010. Evere, Belgium: d-side publications.
PUB
 
[86]
2010 | Conference Paper | PUB-ID: 2276630
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)
In: Proceedings of WCSB 2010. 91-94.
PUB
 
[85]
2010 | Conference Paper | PUB-ID: 2276626
Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging
Simmuteit S, Schleif F-M, Villmann T (2010)
In: Proceedings of WCSB 2010. 103-106.
PUB
 
[84]
2010 | Conference Paper | PUB-ID: 1994127
Divergence Based Online Learning in Vector Quantization
Villmann T, Haase S, Schleif F-M, Hammer B (2010)
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.
PUB | DOI
 
[83]
2010 | Conference Paper | PUB-ID: 1994227
Sparse representation of data
Villmann T, Schleif F-M, Hammer B (2010)
In: ESANN'10. Verleysen M (Ed); D side: 225-234.
PUB
 
[82]
2010 | Conference Paper | PUB-ID: 1994138
The Mathematics of Divergence Based Online Learning in Vector Quanitzation
Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)
In: ANNPR'2010. El Gayar N, Schwenker F (Eds); Berlin, Heidelberg: Springer: 108-119.
PUB
 
[81]
2010 | Journal Article | PUB-ID: 1994034
Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints
Simmuteit S, Schleif F-M, Villmann T, Hammer B (2010)
Knowledge and Information Systems 25(2): 327-343.
PUB | DOI | WoS
 
[80]
2010 | Conference Paper | PUB-ID: 1992498
Divergence based Learning Vector Quantization
Mwebaze E, Schneider P, Schleif F-M, Haase S, Villmann T, Biehl M (In Press)
In: Proceedings of ESANN 2010.
PUB
 
[79]
2010 | Journal Article | PUB-ID: 1992441
Advances in computational intelligence and learning
Angulo C, Lee JA, Schleif F-M (2010)
NeuroComputing 73(7-9): 1049-1050.
PUB | DOI | WoS
 
[78]
2009 | Journal Article | PUB-ID: 1993984
Cancer Informatics by Prototype-networks in Mass Spectrometry
Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)
Artificial Intelligence in Medicine 45(2-3): 215-228.
PUB | DOI | WoS | PubMed | Europe PMC
 
[77]
2009 | Journal Article | PUB-ID: 1992547
Advances in machine learning and computational intelligence
Schleif F-M, Biehl M, Vellido A (2009)
NeuroComputing 72(7-9): 1377-1378.
PUB | DOI | WoS
 
[76]
2009 | Conference Paper | PUB-ID: 1992551
Neural Maps and Learning Vector Quantization - Theory and Applications
Schleif F-M, Villmann T (2009)
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.
PUB
 
[75]
2009 | Journal Article | PUB-ID: 1992526
Supervised data analysis and reliability estimation for spectral data
Schleif F-M, Villmann T, Ongyerth M (2009)
NeuroComputing 72(16-18): 3590-3601.
PUB | DOI | WoS
 
[74]
2009 | Book Chapter | PUB-ID: 1992575
Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria
Simmuteit S, Simmuteit J, Schleif F-M, Villmann T (2009)
In: ICOLE 2009. Blazewicz J, Ecker K, Hammer B (Eds); IfI-09-12. Clausthal-Zellerfeld, Germany: Technical University of Clausthal: 104-112.
PUB
 
[73]
2009 | Journal Article | PUB-ID: 1992517
Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform
Schleif F-M, Lindemann M, Maass P, Diaz M, Decker J, Elssner T, Kuhn M, Thiele H (2009)
Computing and Visualization in Science 12(4): 189-199.
PUB | DOI
 
[72]
2009 | Book Chapter | PUB-ID: 1992534
Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements
Schleif F-M, Riemer T, Boerner U, Cross M (2009)
In: ICOLE 2009. Blazewicz J, Ecker K, Hammer B (Eds); IfI-09-12. Clausthal-Zellerfeld, Germany: Technical University of Clausthal: 89-103.
PUB
 
[71]
2009 | Conference Paper | PUB-ID: 1992565
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 T (2009)
In: Proceedings of ICMLA 2009. IEEE Press: 563--567.
PUB | DOI
 
[70]
2009 | Conference Paper | PUB-ID: 1992570
Hierarchical PCA using Tree-SOM for the Identification of Bacteria
Simmuteit S, Schleif F-M, Villmann T, Kostrzewa M (2009)
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.
PUB | DOI
 
[69]
2009 | Book Chapter | PUB-ID: 1994067
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data
Strickert M, Schleif F-M, Villmann T, Seiffert U (2009)
In: Similarity-based Clustering. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); LNAI, 5400. Berlin: Springer: 70-91.
PUB | DOI
 
[68]
2009 | Conference Paper | PUB-ID: 1992580
Matrix metric adaptation for improved linear discriminant analysis of biomedical data
Strickert M, Keilwagen J, Schleif F-M, T. Villmann T, Biehl M (2009)
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.
PUB | DOI
 
[67]
2009 | Conference Paper | PUB-ID: 1992607
Functional Vector Quantization by Neural Maps
Villmann T, Schleif F-M (2009)
In: Proceedings of Whispers 2009.
PUB | DOI
 
[66]
2009 | Report | PUB-ID: 1993316
Stationarity of Matrix Relevance Learning Vector Quantization
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2009) Machine Learning Reports.
Leipzig: Universität Leipzig.
PUB
 
[65]
2008 | Journal Article | PUB-ID: 1994253
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)
Briefings in Bioinformatics 9(2): 129-143.
PUB | DOI | WoS | PubMed | Europe PMC
 
[64]
2008 | Journal Article | PUB-ID: 2017617
Fuzzy Classification Using Information Theoretic Learning Vector Quantization
Villmann T, Hammer B, Schleif F-M, Hermann W, Cottrell M (2008)
Neurocomputing 71(16-18): 3070-3076.
PUB | DOI | WoS
 
[63]
2008 | Conference Paper | PUB-ID: 1992530
Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance Spectroscopy
Schleif F-M, Ongyerth M, Villmann T (2008)
In: Proceedings of the CBMS 2008. 620-625.
PUB | DOI
 
[62]
2008 | Conference Paper | PUB-ID: 1992597
Metric adaptation for supervised attribute rating
Strickert M, Schleif F-M, Villmann T (2008)
In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Verleysen M (Ed); Evere, Belgium: d-side publications: 31-36.
PUB
 
[61]
2008 | Conference Paper | PUB-ID: 1992554
Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data
Schneider P, Schleif F-M, Villmann T, Biehl M (2008)
In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN) 2008. Verleysen M (Ed); Evere, Belgium: d-side publications: 451-456.
PUB
 
[60]
2008 | Journal Article | PUB-ID: 1992589
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data
Strickert M, Schleif F-M, Seiffert U (2008)
Ibero-American Journal of Artificial Intelligence 37(12): 37-44.
PUB
 
[59]
2008 | Conference Paper | PUB-ID: 1992539
Automatic Identification and Quantification of Metabolites in H-NMR Measurements
Schleif F-M, Riemer T, Cross M, Villmann T (2008)
In: Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008. 165-168.
PUB
 
[58]
2008 | Journal Article | PUB-ID: 1993966
Prototype based Fuzzy Classification in Clinical Proteomics
Schleif F-M, Villmann T, Hammer B (2008)
International Journal of Approximate Reasoning 47(1): 4-16.
PUB | DOI | WoS
 
[57]
2008 | Book Chapter | PUB-ID: 1993939
Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics
Schleif F-M, Villmann T, Hammer B (2008)
In: Encyclopedia of Artificial Intelligence. Dopico JR-n R-al, Dorado J, Pazos A (Eds); IGI Global: 1337-1342.
PUB
 
[56]
2008 | Report | PUB-ID: 1993379
Discriminative Visualization by Limited Rank Matrix Learning
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2008) Machine Learning Reports.
Leipzig: Universität Leipzig.
PUB
 
[55]
2008 | Conference Paper | PUB-ID: 2001836
Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity
Geweniger T, Schleif F-M, Hasenfuss A, Hammer B, Villmann T (2008)
In: ICONIP 2008. Köppen M, Kasabov NK, Coghill GG (Eds); Berlin, Heidelberg: Springer: 61-69.
PUB | DOI
 
[54]
2008 | Book Chapter | PUB-ID: 1993900
Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers
Schleif F-M, Hammer B, Villmann T (2008)
In: Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Van de Werff M, Delder A, Tollenaar R (Eds); Berlin: Springer: 141-167.
PUB | DOI
 
[53]
2007 | Book Chapter | PUB-ID: 1992509
Prototypen basiertes maschinelles Lernen in der klinischen Proteomik
Schleif F-M (2007)
In: Ausgezeichnete Informatikdissertationen 2006. Wagner D (Ed); GI-Edition Lecture Notes in Informatics. Dissertation, 7. Bonn: Gesellschaft für Informatik: 179-188.
PUB
 
[52]
2007 | Conference Paper | PUB-ID: 1992610
Association learning in SOMs for Fuzzy-Classification
Villmann T, Schleif F-M, v.d.Werff M, Deelder A, Tollenaar R (2007)
In: 6th International Conference on Machine Learning and Applications, 2007. 581-586.
PUB | DOI
 
[51]
2007 | Journal Article | PUB-ID: 1992507
Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik
Schleif F-M (2007)
KI - Künstliche Intelligenz (4): 65-67.
PUB
 
[50]
2007 | Conference Paper | PUB-ID: 1992616
Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDS
Villmann T, Strickert M, Brüß C, Schleif F-M, Seiffert U (2007)
In: Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN) 2007. Verleysen M (Ed); Evere, Belgium: d-side publications: 103-108.
PUB
 
[49]
2007 | Conference Paper | PUB-ID: 1992586
Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments
Strickert M, Schleif F-M (2007)
In: Proc. of MLSB 2007. 81-86.
PUB
 
[48]
2007 | Conference Paper | PUB-ID: 1992593
Gradients of Pearson Correlation for Analysis of Biomedical Data
Strickert M, Schleif F-M, Seiffert U (2007)
In: Proc. of ASAI 2007. 139-150.
PUB
 
[47]
2007 | Report | PUB-ID: 1992505
Preprocessing of Nuclear Magnetic Resonance Spectrometry Data
Schleif F-M (2007) Machine Learning Reports.
Leipzig: Universität Leipzig.
PUB
 
[46]
2007 | Conference Paper | PUB-ID: 1992602
Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data
Strickert M, Schleif F-M, Villmann T, Seiffert U (2007)
In: Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400.
PUB | DOI
 
[45]
2007 | Conference Paper | PUB-ID: 1993852
Advances in pre-processing and model generation for mass spectrometric data analysis
Schleif F-M (2007)
In: Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); (07131). Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany.
PUB
 
[44]
2007 | Conference Paper | PUB-ID: 1992452
Statistical Classification and Visualization of MALDI-Imaging Data
Deininger S-O, Gerhard M, Schleif F-M (2007)
In: Proc. of CBMS 2007. 403-405.
PUB
 
[43]
2007 | Conference Paper | PUB-ID: 1993907
Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra
Schleif F-M, Hammer B, Villmann T (2007)
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.
PUB | DOI
 
[42]
2007 | Conference Paper | PUB-ID: 1993820
Neural gas clustering for sparse proximity data
Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)
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.
PUB
 
[41]
2007 | Conference Paper | PUB-ID: 1993811
Neural gas clustering for dissimilarity data with continuous prototypes
Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)
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.
PUB | DOI
 
[40]
2007 | Journal Article | PUB-ID: 1993911
Margin based Active Learning for LVQ Networks
Schleif F-M, Hammer B, Villmann T (2007)
Neurocomputing 70(7-9): 1215-1224.
PUB | DOI | WoS
 
[39]
2007 | Conference Paper | PUB-ID: 1993547
Intuitive Clustering of Biological Data
Hammer B, Hasenfuss A, Schleif F-M, Villmann T, Strickert M, Seiffert U (2007)
In: Proceedings of International Joint Conference on Neural Networks. IEEE: 1877-1882.
PUB | DOI
 
[38]
2007 | Conference Paper | PUB-ID: 1994258
Fuzzy Labeled Self Organizing Map for Clasification of Spectra
Villmann T, Schleif F-M, Merenyi E, Hammer B (2007)
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.
PUB | DOI
 
[37]
2007 | Conference Paper | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOM
Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps.
PUB
 
[36]
2007 | Conference Paper | PUB-ID: 1993970
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps
Schleif F-M, Villmann T, Hammer B (2007)
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.
PUB | DOI
 
[35]
2007 | Report | PUB-ID: 1993922
Aggregation of multiple peak lists by use of an improved neural gas network
Schleif F-M, Hasenfuss A, Hammer B (2007)
Leipzig: Universität Leipzig.
PUB
 
[34]
2007 | Conference Paper | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data
Schneider P, Biehl M, Schleif F-M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps.
PUB
 
[33]
2006 | Conference Paper | PUB-ID: 1994184
Prototype based classification using information theoretic learning
Villmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M (2006)
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.
PUB
 
[32]
2006 | Conference Paper | PUB-ID: 1993594
Supervised median clustering
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
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.
PUB
 
[31]
2006 | Journal Article | PUB-ID: 1994237
Comparison of relevance learning vector quantization with other metric adaptive classification methods
Villmann T, Schleif F-M, Hammer B (2006)
Neural Networks 19(5): 610-622.
PUB | DOI | WoS | PubMed | Europe PMC
 
[30]
2006 | Conference Paper | PUB-ID: 2017225
Learning vector quantization classification with local relevance determination for medical data
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W (2006)
In: Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029. Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada J (Eds); Berlin, Heidelberg: Springer: 603-612.
PUB | DOI
 
[29]
2006 | Dissertation | PUB-ID: 1992511
Prototype based Machine Learning for Clinical Proteomics
Schleif F-M (2006)
Clausthal-Zellerfeld, Germany: Technical University Clausthal.
PUB
 
[28]
2006 | Conference Paper | PUB-ID: 1992445
Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas
Brüß C, Bollenbeck F, Schleif F-M, Weschke W, Villmann T, Seiffert U (2006)
In: Proc. of ESANN 2006. 563-569.
PUB
 
[27]
2006 | Conference Paper | PUB-ID: 1993568
Supervised median neural gas
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
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.
PUB
 
[26]
2006 | Report | PUB-ID: 1993584
Supervised median clustering
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology.
PUB
 
[25]
2006 | Conference Paper | PUB-ID: 1993578
Supervised Batch Neural Gas
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR). Schwenker F (Ed); Berlin: Springer Verlag: 33-45.
PUB | DOI
 
[24]
2006 | Journal Article | PUB-ID: 1994241
Prototype-based fuzzy classification with local relevance for proteomics
Villmann T, Schleif F-M, Hammer B (2006)
Neurocomputing 69(16-18): 2425-2428.
PUB | DOI | WoS
 
[23]
2006 | Conference Paper | PUB-ID: 1993895
Margin based Active Learning for LVQ Networks
Schleif F-M, Hammer B, Villmann T (2006)
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 539-544.
PUB
 
[22]
2006 | Conference Paper | PUB-ID: 1993889
Machine Learning and Soft-Computing in Bioinformatics. A Short Journey
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
In: Proc. of FLINS 2006. World Scientific Press: 541-548.
PUB
 
[21]
2006 | Conference Paper | PUB-ID: 1994273
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B (2006)
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Schwenker F (Ed); Berlin: Springer: 46-56.
PUB | DOI
 
[20]
2006 | Journal Article | PUB-ID: 1994195
Fuzzy Classification by Fuzzy Labeled Neural Gas
Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W (2006)
Neural Networks 19(6-7): 772-779.
PUB | DOI | WoS | PubMed | Europe PMC
 
[19]
2006 | Conference Paper | PUB-ID: 1993878
Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
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.
PUB | DOI
 
[18]
2005 | Journal Article | PUB-ID: 1992513
Plugins mit wxWidgets
Schleif F-M (2005)
Offene Systeme 2005(1): 5-10.
PUB
 
[17]
2005 | Report | PUB-ID: 1993675
On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination
Hammer B, Schleif F-M, Villmann T (2005) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology.
PUB
 
[16]
2005 | Conference Paper | PUB-ID: 1993974
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data
Schleif F-M, Villmann T, Hammer B (2005)
In: Proceedings of the 6th Workshop on Fuzzy Logic and Applications. Bloch I, Petrosino A, Tettamanzi AGB (Eds); Berlin, Heidelberg: Springer: 290-296.
PUB | DOI
 
[15]
2005 | Conference Paper | PUB-ID: 1994249
Fuzzy labeled soft nearest neighbor classification with relevance learning
Villmann T, Schleif F-M, Hammer B (2005)
In: Proceedings of the International Conference of Machine Learning Applications. Wani MA, Cios KJ, Hafeez K (Eds); Los Angeles: IEEE Press: 11-15.
PUB
 
[14]
2005 | Conference Paper | PUB-ID: 1994172
Fuzzy Labeled Neural GAS for Fuzzy Classification
Villmann T, Hammer B, Schleif F-M, Geweniger T (2005)
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.
PUB
 
[13]
2005 | Conference Paper | PUB-ID: 1994219
Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization
Villmann T, Schleif F-M, Hammer B (2005)
In: International Workshop on Integrative Bioinformatics.
PUB
 
[12]
2004 | Conference Paper | PUB-ID: 1993870
Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data
Schleif F-M, Clauss U, Villmann T, Hammer B (2004)
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.
PUB
 
[11]
2004 | Conference Paper | PUB-ID: 1994168
Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection
Villmann T, Hammer B, Schleif F-M (2004)
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.
PUB
 
[10]
2004 | Conference Paper | PUB-ID: 1994212
Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection
Villmann T, Schleif F-M, Hammer B (2004)
In: SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. Groß H-M, Debes K, Böhme H-J (Eds); VDI Verlag.
PUB
 
[9]
2003 | Journal Article | PUB-ID: 1992456
Working memory load and EEG coherence
Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2003)
Brain Topography 15(4): 269.
PUB
 
[8]
2003 | Journal Article | PUB-ID: 1992477
A mission for the EEG coherence analysis: Is the task complex or difficult?
Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2003)
Brain Topography 15(4): 271.
PUB
 
[7]
2003 | Conference Paper | PUB-ID: 1992466
A distributed logistic support communication system
Gruhn V, Hülder M, Ijoui R, Schleif F-M (2003)
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.
PUB
 
[6]
2003 | Conference Paper | PUB-ID: 1994223
Supervised Neural Gas and Relevance Learning in Learning Vector Quantization
Villmann T, Schleif F-M, Hammer B (2003)
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.
PUB
 
[5]
2002 | Journal Article | PUB-ID: 1992515
OCR mit statistischen Momenten
Schleif F-M (2002)
Gaotenblatt 2002: 15-17.
PUB
 
[4]
2002 | Conference Paper | PUB-ID: 1992483
Complexity and difficulty in memory based comparison
Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2002)
In: Proceedings of the 18th Meeting of the International Society for Psychophysics. da Silva JA, Filho NPR, Matsushima EH (Eds); Pabst Publishing: 433-439.
PUB
 
[3]
2002 | Journal Article | PUB-ID: 1992544
{LaTeX} im studentischen Alltag
Schleif F-M, Stamer H (2002)
Gaotenblatt: 3-10.
PUB
 
[2]
2001 | Conference Paper | PUB-ID: 1992461
Complexity - dependent synchronization of brain subsystems during memorization
Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2001)
In: Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing: 343-348.
PUB
 
[1]
2001 | Conference Paper | PUB-ID: 1992560
An analysis of connections between internal and external learning process indicators using EEG coherence analysis
Simmel A, Dörfler T, Schleif F-M, Sommerfeld E (2001)
In: Proceedings of the 17th Meeting of the International Society for Psychophysics. Pabst Publishing: 602-607.
PUB
 

Search

Filter Publications

Display / Sort

Export / Embed