Rafal Kustra

14 papers B 1Misc 2Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparative analysis of unsupervised clustering techniques using validation metrics: Study on cognitive features from the Canadian Longitudinal Study on Aging (CLSA).
CoRR
ChenNingZhi Sheng, Rafal Kustra, Davide Chicco
2025 J jnl
Marginal and Conditional Importance Measures from Machine Learning Models and Their Relationship with Conditional Average Treatment Effect.
CoRR
Mohammad Kaviul Anam Khan, Olli Saarela, Rafal Kustra
2013 — conf
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment.
ICML (2)
Billy Chang, Uwe Krüger, Rafal Kustra, Junping Zhang
2010 J jnl
Data-Fusion in Clustering Microarray Data: Balancing Discovery and Interpretability.
IEEE ACM Trans. Comput. Biol. Bioinform.
Rafal Kustra, Adam Zagdanski
2008 J jnl
EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis.
Bioinform.
Sophia S. F. Lee, Lei Sun, Rafal Kustra, Shelley B. Bull
2008 — conf
Exploration of High-Dimensional Time Series Using Regularized Reduced Rank Approach: Application in Time-Course Microarray.
IADIS European Conf. Data Mining
Adam Zagdanski, Rafal Kustra
2006 J jnl
A factor analysis model for functional genomics.
BMC Bioinform.
Rafal Kustra, Romy Shioda, Mu Zhu
2006 B conf
Incorporating Gene Ontology in Clustering Gene Expression Data.
CBMS
Rafal Kustra, Adam Zagdanski
2006 — conf
Reduced-rank Multivariate Model for Time-course Microarray Data.
BIOCOMP
Rafal Kustra
2004 Misc conf
A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data.
IC-AI
Han Liu, Rafal Kustra, Ji Zhang
2004 — conf
An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.
ECML
Han Liu, Xiaobin Yuan, Qianying Tang, Rafal Kustra
2004 Misc conf
Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
IC-AI
Han Liu, Di Wu, Ji Zhang, Xiaolin Yang, Xiaobin Yuan, Rafal Kustra
2002 J jnl
The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework.
NeuroImage
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
2001 J jnl
Penalized Discriminant Analysis of [15O]-water PET Brain Images with Prediction Error Selection of Smoothness and Regularization.
IEEE Trans. Medical Imaging
Rafal Kustra, Stephen C. Strother