Shu-Kay Ng

According to our database, Shu-Kay Ng authored at least 20 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep survival forests for extremely high censored data.

Xuewei Cheng, Sizheng Wang, Hong Wang, Shu-Kay Ng

Appl. Intell., March, 2023

2022

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 Haseler, Meghan McConnell, Ping Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2019

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

2016

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

Shu-Kay Ng, Geoffrey J. McLachlan

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

2014

Mixture models for clustering multilevel growth trajectories.

Shu-Kay Ng, Geoffrey J. McLachlan

Comput. Stat. Data Anal., 2014

2013

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

Shu-Kay Ng, Alfred K. Lam

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.

Shu-Kay Ng, Geoffrey J. McLachlan

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.

Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan

BMC Bioinform., 2012

2010

A Very Fast Algorithm for Matrix Factorization

Vladimir Nikulin, Tian-Hsiang Huang, Shu-Kay Ng, Suren I. Rathnayake, Geoffrey J. McLachlan

CoRR, 2010

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

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

Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan

Proceedings of the DICTA 2009, 2009

Ensemble Approach for the Classification of Imbalanced Data.

Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay Ng

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

2007

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

Shu-Kay Ng, Geoffrey J. McLachlan

Artif. Intell. Medicine, 2007

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

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

2005

Normalized Gaussian Networks with Mixed Feature Data.

Shu-Kay Ng, Geoffrey J. McLachlan

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.

Shu-Kay Ng, Geoffrey J. McLachlan

IEEE Trans. Neural Networks, 2004

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

Shu-Kay Ng, Geoffrey J. McLachlan

Pattern Recognit., 2004

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

Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees.

Shu-Kay Ng, Geoffrey J. McLachlan

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