| 2008 |
|---|
| 9 | | Adam Zagdanski,
Rafal Kustra:
Exploration of High-Dimensional Time Series Using Regularized Reduced Rank Approach: Application in Time-Course Microarray.
IADIS European Conf. Data Mining 2008: 129-133 |
| 8 | EE | Sophia S. F. Lee,
Lei Sun,
Rafal Kustra,
Shelley B. Bull:
EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis.
Bioinformatics 24(14): 1603-1610 (2008) |
| 2006 |
|---|
| 7 | | Rafal Kustra:
Reduced-rank Multivariate Model for Time-course Microarray Data.
BIOCOMP 2006: 110-116 |
| 6 | EE | Rafal Kustra,
Adam Zagdanski:
Incorporating Gene Ontology in Clustering Gene Expression Data.
CBMS 2006: 555-563 |
| 5 | EE | Rafal Kustra,
Romy Shioda,
Mu Zhu:
A factor analysis model for functional genomics.
BMC Bioinformatics 7: 216 (2006) |
| 2004 |
|---|
| 4 | EE | Han Liu,
Xiaobin Yuan,
Qianying Tang,
Rafal Kustra:
An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.
ECML 2004: 274-285 |
| 3 | | Han Liu,
Di Wu,
Ji Zhang,
Xiaolin Yang,
Xiaobin Yuan,
Rafal Kustra:
Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
IC-AI 2004: 1007-1012 |
| 2 | | Han Liu,
Rafal Kustra,
Ji Zhang:
A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data.
IC-AI 2004: 1133-1139 |
| 2001 |
|---|
| 1 | | Rafal Kustra,
Stephen C. Strother:
Penalized Discriminant Analysis of [15O]-water PET Brain Images with Prediction Error Selection of Smoothness and Regularization.
IEEE Trans. Med. Imaging 20(5): 376-387 (2001) |
