Shu-Kay Ng

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 3

Top Topics

Markov Random Field

Wilcoxon Rank Sum

Finite Mixture Models

Automatic Segmentation

Top Venues

Pattern Recognit.

Comput. Stat. Data Anal.

Publications

Xuewei Cheng, Sizheng Wang, Hong Wang, Shu-Kay Ng
Deep survival forests for extremely high censored data. Appl. Intell. 53 (6) (2023)
Shu-Kay Ng, Richard Tawiah, Geoffrey J. McLachlan
Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. Pattern Recognit. 88 (2019)
Shu-Kay Ng, Geoffrey J. McLachlan
Finding group structures in "Big Data" in healthcare research using mixture models. BIBM (2016)
Shu-Kay Ng, Geoffrey J. McLachlan
Mixture models for clustering multilevel growth trajectories. Comput. Stat. Data Anal. 71 (2014)
Shu-Kay Ng, Alfred K. Lam
Automatic Segmentation of Molecular Pathology Images Using a Robust Mixture Model with Markov Random Fields. DICTA (2013)
Shu-Kay Ng, Geoffrey J. McLachlan
Using cluster analysis to improve gene selection in the formation of discriminant rules for the prediction of disease outcomes. BIBM (2013)
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan
Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects. BMC Bioinform. 13 (2012)
Vladimir Nikulin, Tian-Hsiang Huang, Shu-Kay Ng, Suren I. Rathnayake, Geoffrey J. McLachlan
A Very Fast Algorithm for Matrix Factorization CoRR (2010)
Andy H. Lee, Yun Zhao, Kelvin K. W. Yau, Shu-Kay Ng
A computer graphical user interface for survival mixture modelling of recurrent infections. Comput. Biol. Medicine 39 (3) (2009)
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data. DICTA (2009)
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay Ng
Ensemble Approach for the Classification of Imbalanced Data. Australasian Conference on Artificial Intelligence (2009)
Shu-Kay Ng, Geoffrey J. McLachlan
Extension of mixture-of-experts networks for binary classification of hierarchical data. Artif. Intell. Medicine 41 (1) (2007)
Shu-Kay Ng, Geoffrey J. McLachlan, Andy H. Lee
An incremental EM-based learning approach for on-line prediction of hospital resource utilization. Artif. Intell. Medicine 36 (3) (2006)
Shu-Kay Ng, Geoffrey J. McLachlan, Kui Wang, Liat Ben-Tovim Jones, S.-W. Ng
A Mixture model with random-effects components for clustering correlated gene-expression profiles. Bioinform. 22 (14) (2006)
Shu-Kay Ng, Geoffrey J. McLachlan
Normalized Gaussian Networks with Mixed Feature Data. Australian Conference on Artificial Intelligence (2005)
Shu-Kay Ng, Geoffrey J. McLachlan
Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification. IEEE Trans. Neural Networks 15 (3) (2004)
Shu-Kay Ng, Geoffrey J. McLachlan
Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. Pattern Recognit. 37 (8) (2004)
Shu-Kay Ng, Geoffrey J. McLachlan
On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures. Stat. Comput. 13 (1) (2003)
Shu-Kay Ng, Geoffrey J. McLachlan
Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees. DICTA (2003)