Sambu Seo

According to our database, Sambu Seo authored at least 12 papers between 2000 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Incremental pairwise clustering for large proximity matrices.

Sambu Seo, Johannes Mohr, Ningfei Li, Andreas Horn, Klaus Obermayer

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

A classifier-based association test for imbalanced data derived from prediction theory.

Johannes Mohr, Sambu Seo, Klaus Obermayer

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

A voxel selection method for the multivariate analysis of imaging genetics data.

Sambu Seo, Johannes Mohr, Hauke R. Heekeren, Andreas Heinz, Ben Eppinger, Shu-Chen Li, Klaus Obermayer

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2009

A New Incremental Pairwise Clustering Algorithm.

Sambu Seo, Johannes Mohr, Klaus Obermayer

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies.

Johannes Mohr, Sambu Seo, Imke Puls, Andreas Heinz, Klaus Obermayer

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Automated Microarray Classification Based on P-SVM Gene Selection.

Johannes Mohr, Sambu Seo, Klaus Obermayer

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2006

Dynamic Hyperparameter Scaling Method for LVQ Algorithms.

Sambu Seo, Klaus Obermayer

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Clustering and prototype based classification.

Sambu Seo

PhD thesis, 2005

2004

Self-organizing maps and clustering methods for matrix data.

Sambu Seo, Klaus Obermayer

Neural Networks, 2004

2003

Soft nearest prototype classification.

Sambu Seo, Mathias Bode, Klaus Obermayer

IEEE Trans. Neural Networks, 2003

Soft Learning Vector Quantization.

Sambu Seo, Klaus Obermayer

Neural Comput., 2003

2000

Gaussian Process Regression: Active Data Selection and Test Point Rejection.

Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer

Proceedings of the Mustererkennung 2000, 2000