Rafal Kustra

According to our database, Rafal Kustra authored at least 12 papers between 2001 and 2013.

Collaborative distances:

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

2013

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment.

Billy Chang, Uwe Krüger, Rafal Kustra, Junping Zhang

Proceedings of the 30th International Conference on Machine Learning, 2013

2010

Data-Fusion in Clustering Microarray Data: Balancing Discovery and Interpretability.

Rafal Kustra, Adam Zagdanski

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

2008

EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis.

Sophia S. F. Lee, Lei Sun, Rafal Kustra, Shelley B. Bull

Bioinform., 2008

Exploration of High-Dimensional Time Series Using Regularized Reduced Rank Approach: Application in Time-Course Microarray.

Adam Zagdanski, Rafal Kustra

Proceedings of the IADIS European Conference on Data Mining 2008, 2008

2006

A factor analysis model for functional genomics.

Rafal Kustra, Romy Shioda, Mu Zhu

BMC Bioinform., 2006

Incorporating Gene Ontology in Clustering Gene Expression Data.

Rafal Kustra, Adam Zagdanski

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Reduced-rank Multivariate Model for Time-course Microarray Data.

Rafal Kustra

Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006

2004

Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.

Han Liu, Di Wu, Ji Zhang, Xiaolin Yang, Xiaobin Yuan, Rafal Kustra

Proceedings of the International Conference on Artificial Intelligence, 2004

A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data.

Han Liu, Rafal Kustra, Ji Zhang

Proceedings of the International Conference on Artificial Intelligence, 2004

An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.

Han Liu, Xiaobin Yuan, Qianying Tang, Rafal Kustra

Proceedings of the Machine Learning: ECML 2004, 2004

2002

The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework.

Stephen C. Strother, Jon R. Anderson, Lars Kai Hansen, Ulrik Kjems, Rafal Kustra, John J. Sidtis, Sally Frutiger, Suraj Muley, Stephen LaConte, David A. Rottenberg

NeuroImage, 2002

2001

Penalized Discriminant Analysis of [15O]-water PET Brain Images with Prediction Error Selection of Smoothness and Regularization.

Rafal Kustra, Stephen C. Strother

IEEE Trans. Medical Imaging, 2001