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2010 – 2019
- 2015
[c9]Sambu Seo, Johannes Mohr, Ningfei Li
, Andreas Horn, Klaus Obermayer:
Incremental pairwise clustering for large proximity matrices. IJCNN 2015: 1-8- 2014
- [c8]Johannes Mohr, Sambu Seo, Klaus Obermayer:
A classifier-based association test for imbalanced data derived from prediction theory. IJCNN 2014: 487-493 - 2012
- [c7]Sambu Seo, Johannes Mohr, Hauke R. Heekeren, Andreas Heinz, Ben Eppinger, Shu-Chen Li, Klaus Obermayer:
A voxel selection method for the multivariate analysis of imaging genetics data. IJCNN 2012: 1-7
2000 – 2009
- 2009
- [c6]Sambu Seo, Johannes Mohr, Klaus Obermayer:
A New Incremental Pairwise Clustering Algorithm. ICMLA 2009: 223-228 - 2008
- [c5]Johannes Mohr, Sambu Seo, Imke Puls, Andreas Heinz, Klaus Obermayer:
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies. ICMLA 2008: 182-187 - [c4]Johannes Mohr, Sambu Seo, Klaus Obermayer:
Automated Microarray Classification Based on P-SVM Gene Selection. ICMLA 2008: 503-507 - 2006
- [c3]Sambu Seo, Klaus Obermayer:
Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006: 3196-3203 - 2005
- [b1]Sambu Seo:
Clustering and prototype based classification. Berlin Institute of Technology, 2005 - 2004
- [j3]Sambu Seo, Klaus Obermayer:
Self-organizing maps and clustering methods for matrix data. Neural Networks 17(8-9): 1211-1229 (2004) - 2003
- [j2]Sambu Seo, Klaus Obermayer:
Soft Learning Vector Quantization. Neural Comput. 15(7): 1589-1604 (2003) - [j1]Sambu Seo, Mathias Bode, Klaus Obermayer:
Soft nearest prototype classification. IEEE Trans. Neural Networks 14(2): 390-398 (2003) - 2000
- [c2]Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer:
Gaussian Process Regression: Active Data Selection and Test Point Rejection. DAGM-Symposium 2000: 27-34 - [c1]Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer:
Gaussian Process Regression: Active Data Selection and Test Point Rejection. IJCNN (3) 2000: 241-246
Coauthor Index
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