High-fidelity image warping for serial and parallel processing. - Donald Fraser; Hongxing He; Robert A. Schowengerdt (ICIP (3), 1996)

Boosting Neural Networks in Real Worls Applications: An Empirical Study. - Hongxing He; Zhexue Huang (Australian Joint Conference on Artificial Intelligence, 1997)

Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection. - Hongxing He; Warwick Graco; Xin Yao 001 (SEAL, 1998)

Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem. - Hongxing He; Simon Hawkins (PAKDD, 1999)

Data Mining in Disease Management - A Diabetes Case Study. - Hongxing He; Hari Koesmarno; Thach Van; Zhexue Huang (PRICAI, 2000)

Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem. - Hongxing He; Simon Hawkins; Warwick Graco; Xin Yao 001 (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Feature Selection for Temporal Health Records. - Rohan A. Baxter; Graham J. Williams; Hongxing He (PAKDD, 2001)

Estimating Episodes of Care Using Linked Medical Claims Data. - Graham J. Williams; Rohan A. Baxter; Chris Kelman; Chris P. Rainsford; Hongxing He; Lifang Gu; Deanne Vickers; Simon Hawkins (Australian Joint Conference on Artificial Intelligence, 2002)

Outlier Detection Using Replicator Neural Networks. - Simon Hawkins; Hongxing He; Graham J. Williams; Rohan A. Baxter (DaWaK, 2002)

A Comparative Study of RNN for Outlier Detection in Data Mining. - Graham J. Williams; Rohan A. Baxter; Hongxing He; Simon Hawkins; Lifang Gu (ICDM, 2002)

Association Rule Discovery with Unbalanced Class Distributions. - Lifang Gu; Jiuyong Li; Hongxing He; Graham J. Williams; Simon Hawkins; Chris Kelman (Australian Conference on Artificial Intelligence, 2003)

Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. - Hongxing He; Graham J. Williams; Jie Chen 004; Simon Hawkins; Chris Kelman (DaWaK, 2004)

Temporal Sequence Associations for Rare Events. - Jie Chen 004; Hongxing He; Graham J. Williams; Huidong Jin 001 (PAKDD, 2004)

Automatic Feature Selection for Classification of Health Data. - Hongxing He; Huidong Jin 001; Jie Chen 004 (Australian Conference on Artificial Intelligence, 2005)

Mining risk patterns in medical data. - Jiuyong Li; Ada Wai-Chee Fu; Hongxing He; Jie Chen 004; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KDD, 2005)

Representing Association Classification Rules Mined from Health Data. - Jie Chen 004; Hongxing He; Jiuyong Li; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KES (3), 2005)

Identifying Risk Groups Associated with Colorectal Cancer. - Jie Chen 004; Hongxing He; Huidong Jin 001; Damien McAullay; Graham J. Williams; Chris Kelman (Selected Papers from AusDM, 2006)

Analysis of Breast Feeding Data Using Data Mining Methods. - Hongxing He; Huidong Jin 001; Jie Chen 004; Damien McAullay; Jiuyong Li; Tony Fallon (AusDM, 2006)

Stock Trend Analysis and Trading Strategy. - Hongxing He; Jie Chen 004; Huidong Jin 001; Shu-Heng Chen (JCIS, 2006)

Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. - Huidong Jin 001; Jie Chen 004; Chris Kelman; Hongxing He; Damien McAullay; Christine M. O'Keefe (PAKDD, 2006)

Privacy-Preserving Sequential Pattern Release. - Huidong Jin 001; Jie Chen 004; Hongxing He; Christine M. O'Keefe (PAKDD, 2007)

Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. - Huidong Jin 001; Jie Chen 004; Hongxing He; Graham J. Williams; Chris Kelman; Christine M. O'Keefe (IEEE Trans. Inf. Technol. Biomed., 2008)

Mining consequence events in temporal health data. - Jie Chen 004; Huidong Jin 001; Hongxing He; Damien McAullay; Christine M. O'Keefe; Ross Sparks; Chris Kelman (Intell. Data Anal., 2010)

Signaling Potential Adverse Drug Reactions from Administrative Health Databases. - Huidong Jin 001; Jie Chen 004; Hongxing He; Chris Kelman; Damien McAullay; Christine M. O'Keefe (IEEE Trans. Knowl. Data Eng., 2010)