Frank-Michael Schleif
fschleif@techfak.uni-bielefeld.de
https://orcid.org/0000-0002-7539-1283PEVZ-ID
133 Publikationen
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763Sparse conformal prediction for dissimilarity dataPUB | DOI | WoS
Schleif F-M, Zhu X, Hammer B (2015)
Annals of Mathematics and Artificial Intelligence 74(1-2): 95-116. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Metric learning for sequences in relational LVQPUB | PDF | DOI | Download (ext.) | WoS
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910619High Dimensional Matrix Relevance LearningPUB | DOI
Schleif F-M, Villmann T, Zhu X (2015)
In: 2014 IEEE International Conference on Data Mining Workshop. Piscataway, NJ: IEEE. -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910885Large Scale Indefinite Kernel Fisher DiscriminantPUB | DOI
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. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772422Metric and non-metric proximity transformations at linear costsPUB | DOI | WoS
Gisbrecht A, Schleif F-M (2015)
Neurocomputing 167: 643-657. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity DataPUB | DOI | WoS
Zhu X, Schleif F-M, Hammer B (2014)
Pattern Recognition Letters 49: 138-145. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730Learning vector quantization for (dis-)similaritiesPUB | DOI | WoS
Hammer B, Hofmann D, Schleif F-M, Zhu X (2014)
NeuroComputing 131: 43-51. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2690490Correlation-based embedding of pairwise score dataPUB | DOI | WoS
Strickert M, Bunte K, Schleif F-M, Huellermeier E (2014)
Neurocomputing 141: 97-109. -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105Sparse Prototype Representation by Core SetsPUB | DOI
Schleif F-M, Zhu X, Hammer B (2013)
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 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612731Novel approaches in machine learning and computational intelligencePUB | DOI | WoS
Micheli A, Schleif F-M, Tino P (2013)
Neurocomputing 112: 1-3. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202Sparse prototype representation by core setsPUB
Schleif F-M, Zhu X, Hammer B (2013)
In: IDEAL 2013. Hujun Yin et.al (Ed); . -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717Secure Semi-supervised Vector Quantization for Dissimilarity DataPUB | DOI
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. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615724Data Analysis of (Non-)Metric Proximities at Linear CostsPUB | DOI
Schleif F-M, Gisbrecht A (2013)
In: Proceedings of SIMBAD 2013. Berlin, Heidelberg: Springer: 59-74. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701Semi-Supervised Vector Quantization for proximity dataPUB
Zhu X, Schleif F-M, Hammer B (2013)
In: Proceedings of ESANN 2013. 89-94. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Linear Time Relational Prototype Based LearningPUB | DOI | WoS | PubMed | Europe PMC
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
International Journal of Neural Systems 22(05): 1250021. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615745Adaptive Learning for complex-valued dataPUB
Bunte K, Schleif F-M, Biehl M (2012)
In: Proceedings of ESANN 2012. 387-392. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534898Large margin linear discriminative visualization by Matrix Relevance LearningPUB | DOI
Biehl M, Bunte K, Schleif F-M, Schneider P, Villmann T (2012)
In: IJCNN. IEEE Computational Intelligence Society, Institute of Electrical and Electronics Engineers (Eds); Piscataway, NJ: IEEE: 1-8. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750Fast approximated relational and kernel clusteringPUB
Schleif F-M, Zhu X, Gisbrecht A, Hammer B (2012)
In: Proceedings of ICPR 2012. IEEE: 1229-1232. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756Soft Competitive Learning for large data setsPUB | DOI
Schleif F-M, Zhu X, Hammer B (2012)
In: Proceedings of MCSD 2012. Berlin, Heidelberg: Springer Berlin Heidelberg: 141-151. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Learning Relevant Time Points for Time-Series Data in the Life SciencesPUB | DOI
Schleif F-M, Mokbel B, Gisbrecht A, Theunissen L, Dürr V, Hammer B (2012)
In: ICANN (2). Lecture Notes in Computer Science, 7553. Berlin, Heidelberg: Springer Berlin Heidelberg: 531-539. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405Limited Rank Matrix Learning, discriminative dimension reduction and visualizationPUB | DOI | WoS | PubMed | Europe PMC
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2012)
Neural Networks 26: 159-173. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888A Conformal Classifier for Dissimilarity DataPUB | DOI
Schleif F-M, Zhu X, Hammer B (2012)
In: AIAI (2). Berlin, Heidelberg: Springer Berlin Heidelberg: 234-243. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910Patch Processing for Relational Learning Vector QuantizationPUB | DOI
Zhu X, Schleif F-M, Hammer B (2012)
In: ISNN (1). Berlin, Heidelberg: Springer Berlin Heidelberg: 55-63. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868White Box Classification of Dissimilarity DataPUB | DOI | WoS
Hammer B, Mokbel B, Schleif F-M, Zhu X (2012)
In: HAIS (1). Berlin, Heidelberg: Springer Berlin Heidelberg: 309-321. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Relevance learning for short high-dimensional time series in the life sciencesPUB | DOI
Schleif F-M, Gisbrecht A, Hammer B (2012)
In: IJCNN. IEEE Computational Intelligence Society, Institute of Electrical and Electronics Engineers (Eds); Piscataway, NJ: IEEE: 1-8. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852Approximation techniques for clustering dissimilarity dataPUB | DOI | WoS
Zhu X, Gisbrecht A, Schleif F-M, Hammer B (2012)
Neurocomputing 90: 72-84. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Topographic Mapping of Dissimilarity DataPUB | DOI
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
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: 2982112Relational Extensions of Learning Vector QuantizationPUB | DOI
Hammer B, Schleif F-M, Zhu X (2011)
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: 2982111Prototype-Based Classification of Dissimilarity DataPUB | DOI
Hammer B, Mokbel B, Schleif F-M, Zhu X (2011)
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: 2982110Accelerating Kernel Neural GasPUB | DOI
Schleif F-M, Gisbrecht A, Hammer B (2011)
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 | Preprint | Veröffentlicht | PUB-ID: 2534994Supervised learning of short and high-dimensional temporal sequences for life science measurementsPUB | arXiv
Schleif F-M, Gisbrecht A, Hammer B (2011) . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Linear time heuristics for topographic mapping of dissimilarity dataPUB | DOI
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. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Topographic Mapping of Dissimilarity DataPUB
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
In: WSOM'11. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Accelerating Kernel Neural GasPUB
Schleif F-M, Gisbrecht A, Hammer B (2011)
In: ICANN'2011. Kaski S, Honkela T, Gitolami M, Dutch W (Eds); . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276644Recent Trends in Computational Intelligence in Life SciencePUB
Seiffert U, Schleif F-M, Zühlke D (2011)
In: Proceedings of ESANN 2011. 77-86. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276640Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and VisualizationPUB
Bunte K, Schleif F-M, Villmann T (2011)
In: Proceedings of ESANN 2011. Ciaco - i6doc.com: 29-34. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290045Advances in artificial neural networks, machine learning, and computational intelligencePUB | DOI | WoS
Lee JA, Schleif F-M, Martinetz T (2011)
Neurocomputing 74(9): 1299-1300. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980Efficient Kernelized Prototype-based ClassificationPUB | DOI | WoS | PubMed | Europe PMC
Schleif F-M, Villmann T, Hammer B, Schneider P (2011)
International Journal of Neural Systems 21(06): 443-457. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Accelerating dissimilarity clustering for biomedical data analysisPUB
Gisbrecht A, Hammer B, Schleif F-M, Zhu X (2011)
In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp.154-161. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276654Sparse Kernel Vector Quantization with Local DependenciesPUB
Schleif F-M (2011)
In: Proceedings of IJCNN 2011. accepted. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992489Divergence based classification in Learning Vector QuantizationPUB | DOI | WoS
Mwebaze E, Schneider P, Schleif F-M, Aduwo JR, Quinn JA, Haase S, Villmann T, Biehl M (2011)
Neurocomputing 74(9): 1429-1435. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2094556Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantificationsPUB | DOI | WoS | PubMed | Europe PMC
Schleif F-M, Riemer T, Boerner U, Schnapka-Hille L, Cross M (2011)
Bioinformatics 27(4): 524-533. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276636Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biologyPUB
Schleif F-M, Simmuteit S, Villmann T (2011)
In: Proceedings of AIA 2011. in press. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276648Multivariate class labeling in Robust Soft LVQPUB
Schneider P, Geweniger T, Schleif F-M, Biehl M, Villmann T (2011)
In: Proceedings of ESANN 2011. 17-22. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276626Hierarchical evolving trees together with global and local learning for large data sets in MALDI imagingPUB
Simmuteit S, Schleif F-M, Villmann T (2010)
In: Proceedings of WCSB 2010. 103-106. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127Divergence Based Online Learning in Vector QuantizationPUB | DOI
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. -
2010 | Konferenzbeitrag | Im Druck | PUB-ID: 1992498Divergence based Learning Vector QuantizationPUB
Mwebaze E, Schneider P, Schleif F-M, Haase S, Villmann T, Biehl M (In Press)
In: Proceedings of ESANN 2010. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276630Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approachPUB
Schleif F-M, Riemer T, Boerner U, Schnapka-Hille L, Cross M (2010)
In: Proceedings of WCSB 2010. 91-94. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992441Advances in computational intelligence and learningPUB | DOI | WoS
Angulo C, Lee JA, Schleif F-M (2010)
NeuroComputing 73(7-9): 1049-1050. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978Generalized derivative based Kernelized learning vector quantizationPUB | DOI
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. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprintsPUB | DOI | WoS
Simmuteit S, Schleif F-M, Villmann T, Hammer B (2010)
Knowledge and Information Systems 25(2): 327-343. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992623Learning vector quantization for heterogeneous structured dataPUB
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. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138The Mathematics of Divergence Based Online Learning in Vector QuanitzationPUB
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. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227Sparse representation of dataPUB
Villmann T, Schleif F-M, Hammer B (2010)
In: ESANN'10. Verleysen M (Ed); D side: 225-234. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984Cancer Informatics by Prototype-networks in Mass SpectrometryPUB | DOI | WoS | PubMed | Europe PMC
Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)
Artificial Intelligence in Medicine 45(2-3): 215-228. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992551Neural Maps and Learning Vector Quantization - Theory and ApplicationsPUB
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. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992570Hierarchical PCA using Tree-SOM for the Identification of BacteriaPUB | DOI
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. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992575Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteriaPUB
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. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992607Functional Vector Quantization by Neural MapsPUB | DOI
Villmann T, Schleif F-M (2009)
In: Proceedings of Whispers 2009. Institute of Electrical and Electronics Engineers (Ed); Piscataway, NJ: IEEE: 636. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994067Unleashing Pearson Correlation for Faithful Analysis of Biomedical DataPUB | DOI
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. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992547Advances in machine learning and computational intelligencePUB | DOI | WoS
Schleif F-M, Biehl M, Vellido A (2009)
NeuroComputing 72(7-9): 1377-1378. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992580Matrix metric adaptation for improved linear discriminant analysis of biomedical dataPUB | DOI
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. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992526Supervised data analysis and reliability estimation for spectral dataPUB | DOI | WoS
Schleif F-M, Villmann T, Ongyerth M (2009)
NeuroComputing 72(16-18): 3590-3601. -
2009 | Report | Veröffentlicht | PUB-ID: 1993316Stationarity of Matrix Relevance Learning Vector QuantizationPUB
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2009) Machine Learning Reports.
Leipzig: Universität Leipzig. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992534Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurementsPUB
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. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992565Tanimoto metric in Tree-SOM for improved representation of mass spectrometry data with an underlying taxonomic structurePUB | DOI
Simmuteit S, Schleif F-M, Villmann T, Elssner T (2009)
In: Proceedings of ICMLA 2009. IEEE Press: 563--567. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992517Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet TransformPUB | DOI
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. -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in BioinformaticsPUB
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. -
2008 | Report | Veröffentlicht | PUB-ID: 1993379Discriminative Visualization by Limited Rank Matrix LearningPUB
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2008) Machine Learning Reports.
Leipzig: Universität Leipzig. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992530Sparse coding Neural Gas for analysis of Nuclear Magnetic Resonance SpectroscopyPUB | DOI
Schleif F-M, Ongyerth M, Villmann T (2008)
In: Proceedings of the CBMS 2008. IEEE: 620-625. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992554Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral DataPUB
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. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992597Metric adaptation for supervised attribute ratingPUB
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. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966Prototype based Fuzzy Classification in Clinical ProteomicsPUB | DOI | WoS
Schleif F-M, Villmann T, Hammer B (2008)
International Journal of Approximate Reasoning 47(1): 4-16. -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector QuantizersPUB | DOI
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. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992539Automatic Identification and Quantification of Metabolites in H-NMR MeasurementsPUB
Schleif F-M, Riemer T, Cross M, Villmann T (2008)
In: Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008. 165-168. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992589Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical DataPUB
Strickert M, Schleif F-M, Seiffert U (2008)
Ibero-American Journal of Artificial Intelligence 37(12): 37-44. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)
Briefings in Bioinformatics 9(2): 129-143. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617Fuzzy Classification Using Information Theoretic Learning Vector QuantizationPUB | DOI | WoS
Villmann T, Hammer B, Schleif F-M, Hermann W, Cottrell M (2008)
Neurocomputing 71(16-18): 3070-3076. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexityPUB | DOI
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry dataPUB | PDF | DOI
Schneider P, Biehl M, Schleif F-M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOMPUB | PDF | DOI
Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547Intuitive Clustering of Biological DataPUB | DOI
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993852Advances in pre-processing and model generation for mass spectrometric data analysisPUB
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. -
2007 | Report | Veröffentlicht | PUB-ID: 1993922Aggregation of multiple peak lists by use of an improved neural gas networkPUB
Schleif F-M, Hasenfuss A, Hammer B (2007)
Leipzig: Universität Leipzig. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992602Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical DataPUB | DOI
Strickert M, Schleif F-M, Villmann T, Seiffert U (2007)
In: Similarity based Clustering. Lecture Notes in Artificial Intelligence, 5400., 12(37). IBERAMIA: Sociedad Iberoamericana de Inteligencia Artificial. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-MapsPUB | DOI
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. -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1992509Prototypen basiertes maschinelles Lernen in der klinischen ProteomikPUB
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. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911Margin based Active Learning for LVQ NetworksPUB | DOI | WoS
Schleif F-M, Hammer B, Villmann T (2007)
Neurocomputing 70(7-9): 1215-1224. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992507Maschinelles Lernen mit Prototypmethoden in der klinischen ProteomikPUB
Schleif F-M (2007)
KI - Künstliche Intelligenz (4): 65-67. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992610Association learning in SOMs for Fuzzy-ClassificationPUB | DOI
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992616Visualization of fuzzy information in in fuzzy-classification for image sagmentation using MDSPUB
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811Neural gas clustering for dissimilarity data with continuous prototypesPUB | DOI
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992452Statistical Classification and Visualization of MALDI-Imaging DataPUB
Deininger S-O, Gerhard M, Schleif F-M (2007)
In: Proc. of CBMS 2007. 403-405. -
2007 | Report | Veröffentlicht | PUB-ID: 1992505Preprocessing of Nuclear Magnetic Resonance Spectrometry DataPUB
Schleif F-M (2007) Machine Learning Reports.
Leipzig: Universität Leipzig. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992586Supervised Attribute Relevance Determination for Protein Identification in Stress ExperimentsPUB
Strickert M, Schleif F-M (2007)
In: Proc. of MLSB 2007. 81-86. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992593Gradients of Pearson Correlation for Analysis of Biomedical DataPUB
Strickert M, Schleif F-M, Seiffert U (2007)
In: Proc. of ASAI 2007. 139-150. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820Neural gas clustering for sparse proximity dataPUB
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom SpectraPUB | DOI
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. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258Fuzzy Labeled Self Organizing Map for Clasification of SpectraPUB | DOI
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. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578Supervised Batch Neural GasPUB | DOI
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. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Margin based Active Learning for LVQ NetworksPUB
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. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Prototype based classification using information theoretic learningPUB
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. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273Fuzzy Labeled Self-Organizing Map with Label-Adjusted PrototypesPUB | DOI
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. -
2006 | Dissertation | PUB-ID: 1992511Prototype based Machine Learning for Clinical ProteomicsPUB
Schleif F-M (2006)
Clausthal-Zellerfeld, Germany: Technical University Clausthal. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Machine Learning and Soft-Computing in Bioinformatics. A Short JourneyPUB
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
In: Proc. of FLINS 2006. World Scientific Press: 541-548. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Supervised median neural gasPUB
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. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594Supervised median clusteringPUB
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. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing MapsPUB | DOI
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. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237Comparison of relevance learning vector quantization with other metric adaptive classification methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann T, Schleif F-M, Hammer B (2006)
Neural Networks 19(5): 610-622. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992445Fuzzy Image Segmentation with Fuzzy Labelled Neural GasPUB
Brüß C, Bollenbeck F, Schleif F-M, Weschke W, Villmann T, Seiffert U (2006)
In: Proc. of ESANN 2006. 563-569. -
2006 | Report | Veröffentlicht | PUB-ID: 1993584Supervised median clusteringPUB
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Fuzzy Classification by Fuzzy Labeled Neural GasPUB | DOI | WoS | PubMed | Europe PMC
Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W (2006)
Neural Networks 19(6-7): 772-779. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241Prototype-based fuzzy classification with local relevance for proteomicsPUB | DOI | WoS
Villmann T, Schleif F-M, Hammer B (2006)
Neurocomputing 69(16-18): 2425-2428. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Learning vector quantization classification with local relevance determination for medical dataPUB | DOI
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); Lecture notes in computer science ; 4029 : Lecture notes in artificial intelligence, 4029. Berlin, Heidelberg: Springer: 603-612. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Fuzzy Labeled Neural GAS for Fuzzy ClassificationPUB
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. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992513 PUB
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector QuantizationPUB
Villmann T, Schleif F-M, Hammer B (2005)
In: International Workshop on Integrative Bioinformatics. -
2005 | Report | Veröffentlicht | PUB-ID: 1993675On the Generalization Ability of Prototype-Based Classifiers with Local Relevance DeterminationPUB
Hammer B, Schleif F-M, Villmann T (2005) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic DataPUB | DOI
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. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249Fuzzy labeled soft nearest neighbor classification with relevance learningPUB
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. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment DetectionPUB
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. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212Metric adaptation for optimal feature classification in learning vector quantization applied to environment detectionPUB
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. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric DataPUB
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. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Supervised Neural Gas and Relevance Learning in Learning Vector QuantizationPUB
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. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992477A mission for the EEG coherence analysis: Is the task complex or difficult?PUB
Köhler M, Buchta K, Schleif F-M, Sommerfeld E (2003)
Brain Topography 15(4): 271. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992456Working memory load and EEG coherencePUB
Dörfler T, Simmel A, Schleif F-M, Sommerfeld E (2003)
Brain Topography 15(4): 269. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992466A distributed logistic support communication systemPUB
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. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992544 PUB
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2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992483Complexity and difficulty in memory based comparisonPUB
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. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1992515 PUB
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2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992560An analysis of connections between internal and external learning process indicators using EEG coherence analysisPUB
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. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1992461Complexity - dependent synchronization of brain subsystems during memorizationPUB
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.