Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees. - Shu-Kay Ng; Geoffrey J. McLachlan (DICTA, 2003)

On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures. - Shu-Kay Ng; Geoffrey J. McLachlan (Stat. Comput., 2003)

Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. - Shu-Kay Ng; Geoffrey J. McLachlan (Pattern Recognit., 2004)

Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification. - Shu-Kay Ng; Geoffrey J. McLachlan (IEEE Trans. Neural Networks, 2004)

Normalized Gaussian Networks with Mixed Feature Data. - Shu-Kay Ng; Geoffrey J. McLachlan (Australian Conference on Artificial Intelligence, 2005)

An incremental EM-based learning approach for on-line prediction of hospital resource utilization. - Shu-Kay Ng; Geoffrey J. McLachlan; Andy H. Lee (Artif. Intell. Medicine, 2006)

A Mixture model with random-effects components for clustering correlated gene-expression profiles. - Shu-Kay Ng; Geoffrey J. McLachlan; Kui Wang; Liat Ben-Tovim Jones; S.-W. Ng (Bioinform., 2006)

Extension of mixture-of-experts networks for binary classification of hierarchical data. - Shu-Kay Ng; Geoffrey J. McLachlan (Artif. Intell. Medicine, 2007)

Ensemble Approach for the Classification of Imbalanced Data. - Vladimir Nikulin; Geoffrey J. McLachlan; Shu-Kay Ng (Australasian Conference on Artificial Intelligence, 2009)

Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data. - Kui Wang; Shu-Kay Ng; Geoffrey J. McLachlan (DICTA, 2009)

A computer graphical user interface for survival mixture modelling of recurrent infections. - Andy H. Lee; Yun Zhao; Kelvin K. W. Yau; Shu-Kay Ng (Comput. Biol. Medicine, 2009)

A Very Fast Algorithm for Matrix Factorization - Vladimir Nikulin; Tian-Hsiang Huang; Shu-Kay Ng; Suren I. Rathnayake; Geoffrey J. McLachlan (CoRR, 2010)

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects. - Kui Wang; Shu-Kay Ng; Geoffrey J. McLachlan (BMC Bioinform., 2012)

Using cluster analysis to improve gene selection in the formation of discriminant rules for the prediction of disease outcomes. - Shu-Kay Ng; Geoffrey J. McLachlan (BIBM, 2013)

Automatic Segmentation of Molecular Pathology Images Using a Robust Mixture Model with Markov Random Fields. - Shu-Kay Ng; Alfred K. Lam (DICTA, 2013)

Mixture models for clustering multilevel growth trajectories. - Shu-Kay Ng; Geoffrey J. McLachlan (Comput. Stat. Data Anal., 2014)

Finding group structures in "Big Data" in healthcare research using mixture models. - Shu-Kay Ng; Geoffrey J. McLachlan (BIBM, 2016)

Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. - Shu-Kay Ng; Richard Tawiah; Geoffrey J. McLachlan (Pattern Recognit., 2019)

Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. - A Hasitha Kuruwita; Shu-Kay Ng; Alan Wee-Chung Liew; Brent Richards; Kelvin Ross; Kuldeep Kumar; Luke J. Haseler; Meghan McConnell; Ping Zhang 008 (BIBM, 2022)

Deep survival forests for extremely high censored data. - Xuewei Cheng; Sizheng Wang; Hong Wang 009; Shu-Kay Ng (Appl. Intell., 2023)

Dynamic and Explainable Mortality Risk Prediction for TBI Patients in the ICU. - A Hasitha Kuruwita; Shu-Kay Ng; Alan Wee-Chung Liew; Kelvin Ross; Brent Richards; Kuldeep Kumar; Luke J. Haseler; Ping Zhang 008 (AIiH (1), 2025)