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)

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)

An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk. - Han Liu 001; Xiaobin Yuan; Qianying Tang; Rafal Kustra (ECML, 2004)

A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data. - Han Liu 001; Rafal Kustra; Ji Zhang 001 (IC-AI, 2004)

Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis. - Han Liu 001; Di Wu 050; Ji Zhang 001; Xiaolin Yang; Xiaobin Yuan; Rafal Kustra (IC-AI, 2004)

Reduced-rank Multivariate Model for Time-course Microarray Data. - Rafal Kustra (BIOCOMP, 2006)

Incorporating Gene Ontology in Clustering Gene Expression Data. - Rafal Kustra; Adam Zagdanski (CBMS, 2006)

A factor analysis model for functional genomics. - Rafal Kustra; Romy Shioda; Mu Zhu (BMC Bioinform., 2006)

Exploration of High-Dimensional Time Series Using Regularized Reduced Rank Approach: Application in Time-Course Microarray. - Adam Zagdanski; Rafal Kustra (IADIS European Conf. Data Mining, 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)

Data-Fusion in Clustering Microarray Data: Balancing Discovery and Interpretability. - Rafal Kustra; Adam Zagdanski (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment. - Billy Chang; Uwe Krüger 001; Rafal Kustra; Junping Zhang (ICML (2), 2013)

Marginal and Conditional Importance Measures from Machine Learning Models and Their Relationship with Conditional Average Treatment Effect. - Mohammad Kaviul Anam Khan; Olli Saarela; Rafal Kustra (CoRR, 2025)

Comparative analysis of unsupervised clustering techniques using validation metrics: Study on cognitive features from the Canadian Longitudinal Study on Aging (CLSA). - ChenNingZhi Sheng; Rafal Kustra; Davide Chicco (CoRR, 2025)