# Shu-Kay Ng

According to our database

Collaborative distances:

^{1}, Shu-Kay Ng authored at least 17 papers between 2003 and 2016.Collaborative distances:

## Timeline

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## Bibliography

2016

Finding group structures in "Big Data" in healthcare research using mixture models.

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

Mixture models for clustering multilevel growth trajectories.

Computational Statistics & Data Analysis, 2014

2013

Automatic Segmentation of Molecular Pathology Images Using a Robust Mixture Model with Markov Random Fields.

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Using cluster analysis to improve gene selection in the formation of discriminant rules for the prediction of disease outcomes.

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects.

BMC Bioinformatics, 2012

2010

A Very Fast Algorithm for Matrix Factorization

CoRR, 2010

2009

A computer graphical user interface for survival mixture modelling of recurrent infections.

Comp. in Bio. and Med., 2009

Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data.

Proceedings of the DICTA 2009, 2009

Ensemble Approach for the Classification of Imbalanced Data.

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2007

Extension of mixture-of-experts networks for binary classification of hierarchical data.

Artificial Intelligence in Medicine, 2007

2006

A Mixture model with random-effects components for clustering correlated gene-expression profiles.

Bioinformatics, 2006

An incremental EM-based learning approach for on-line prediction of hospital resource utilization.

Artificial Intelligence in Medicine, 2006

2005

Normalized Gaussian Networks with Mixed Feature Data.

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification.

IEEE Trans. Neural Networks, 2004

Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images.

Pattern Recognition, 2004

2003

On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures.

Statistics and Computing, 2003

Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees.

Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003