| Learning vector quantization for (dis-) similarities B Hammer, D Hofmann, FM Schleif, X Zhu Neurocomputing 131, 43-51, 2014 | 87 | 2014 |
| Linear time relational prototype based learning A Gisbrecht, B Mokbel, FM Schleif, X Zhu, B Hammer International Journal of Neural Systems 22 (05), 2012 | 25 | 2012 |
| Cluster based feedback provision strategies in intelligent tutoring systems S Gross, X Zhu, B Hammer, N Pinkwart International Conference on Intelligent Tutoring Systems, 699-700, 2012 | 23 | 2012 |
| Relational extensions of learning vector quantization B Hammer, FM Schleif, X Zhu International Conference on Neural Information Processing, 481-489, 2011 | 19 | 2011 |
| Adaptive conformal semi-supervised vector quantization for dissimilarity data X Zhu, FM Schleif, B Hammer Pattern Recognition Letters 49, 138-145, 2014 | 18 | 2014 |
| Approximation techniques for clustering dissimilarity data X Zhu, A Gisbrecht, FM Schleif, B Hammer Neurocomputing 90, 72-84, 2012 | 18 | 2012 |
| Prototype-based classification of dissimilarity data B Hammer, B Mokbel, FM Schleif, X Zhu International Symposium on Intelligent Data Analysis, 185-197, 2011 | 18 | 2011 |
| Fast approximated relational and kernel clustering FM Schleif, X Zhu, A Gisbrecht, B Hammer Pattern Recognition (ICPR), 2012 21st International Conference on, 1229-1232, 2012 | 10 | 2012 |
| White box classification of dissimilarity data B Hammer, B Mokbel, FM Schleif, X Zhu International Conference on Hybrid Artificial Intelligence Systems, 309-321, 2012 | 10 | 2012 |
| Topographic mapping of dissimilarity data B Hammer, A Gisbrecht, A Hasenfuss, B Mokbel, FM Schleif, X Zhu International Workshop on Self-Organizing Maps, 1-15, 2011 | 9 | 2011 |
| Semi-Supervised Vector Quantization for proximity data. X Zhu, FM Schleif, B Hammer ESANN, 2013 | 8* | 2013 |
| A conformal classifier for dissimilarity data FM Schleif, X Zhu, B Hammer IFIP International Conference on Artificial Intelligence Applications and …, 2012 | 8 | 2012 |
| Sparse conformal prediction for dissimilarity data FM Schleif, X Zhu, B Hammer Annals of Mathematics and Artificial Intelligence 74 (1-2), 95-116, 2015 | 7 | 2015 |
| Accelerating kernel clustering for biomedical data analysis A Gisbrecht, B Hammer, FM Schleif, X Zhu Computational Intelligence in Bioinformatics and Computational Biology …, 2011 | 5 | 2011 |
| Patch processing for relational learning vector quantization X Zhu, FM Schleif, B Hammer International Symposium on Neural Networks, 55-63, 2012 | 4 | 2012 |
| Adaptive prototype-based dissimilarity learning X Zhu Universitätsbibliothek Bielefeld, 2015 | 2 | 2015 |
| High Dimensional Matrix Relevance Learning FM Schleif, T Villmann, X Zhu 2014 IEEE International Conference on Data Mining Workshop, 661-667, 2014 | 2 | 2014 |
| Secure semi-supervised vector quantization for dissimilarity data X Zhu, FM Schleif, B Hammer International Work-Conference on Artificial Neural Networks, 347-356, 2013 | 2 | 2013 |
| Patch affinity propagation X Zhu, B Hammer ICOLE 2010, 63, 2011 | 2 | 2011 |
| Sparse prototype representation by core sets FM Schleif, X Zhu, B Hammer International Conference on Intelligent Data Engineering and Automated …, 2013 | 1 | 2013 |
Bassam MokbelCITEC, Bielefeld University在 techfak.uni-bielefeld.de 的电子邮件经过验证
