Hongxing He

Publication Activity (10 Years)

Years Active: 1996-2010
Publications (10 Years): 0

Publications

Huidong Jin, Jie Chen, Hongxing He, Chris Kelman, Damien McAullay, Christine M. O'Keefe
Signaling Potential Adverse Drug Reactions from Administrative Health Databases. IEEE Trans. Knowl. Data Eng. 22 (6) (2010)
Jie Chen, Huidong Jin, Hongxing He, Damien McAullay, Christine M. O'Keefe, Ross Sparks, Chris Kelman
Mining consequence events in temporal health data. Intell. Data Anal. 14 (2) (2010)
Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Trans. Inf. Technol. Biomed. 12 (4) (2008)
Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe
Privacy-Preserving Sequential Pattern Release. PAKDD (2007)
Huidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O'Keefe
Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. PAKDD (2006)
Hongxing He, Jie Chen, Huidong Jin, Shu-Heng Chen
Stock Trend Analysis and Trading Strategy. JCIS (2006)
Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon
Analysis of Breast Feeding Data Using Data Mining Methods. AusDM (2006)
Hongxing He, Huidong Jin, Jie Chen
Automatic Feature Selection for Classification of Health Data. Australian Conference on Artificial Intelligence (2005)
Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
Representing Association Classification Rules Mined from Health Data. KES (3) (2005)
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
Mining risk patterns in medical data. KDD (2005)
Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. DaWaK (2004)
Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin
Temporal Sequence Associations for Rare Events. PAKDD (2004)
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman
Association Rule Discovery with Unbalanced Class Distributions. Australian Conference on Artificial Intelligence (2003)
Graham J. Williams, Rohan A. Baxter, Chris Kelman, Chris P. Rainsford, Hongxing He, Lifang Gu, Deanne Vickers, Simon Hawkins
Estimating Episodes of Care Using Linked Medical Claims Data. Australian Joint Conference on Artificial Intelligence (2002)
Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter
Outlier Detection Using Replicator Neural Networks. DaWaK (2002)
Graham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu
A Comparative Study of RNN for Outlier Detection in Data Mining. ICDM (2002)
Rohan A. Baxter, Graham J. Williams, Hongxing He
Feature Selection for Temporal Health Records. PAKDD (2001)
Hongxing He, Hari Koesmarno, Thach Van, Zhexue Huang
Data Mining in Disease Management - A Diabetes Case Study. PRICAI (2000)
Hongxing He, Simon Hawkins, Warwick Graco, Xin Yao
Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem. J. Adv. Comput. Intell. Intell. Informatics 4 (2) (2000)
Hongxing He, Simon Hawkins
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem. PAKDD (1999)
Hongxing He, Warwick Graco, Xin Yao
Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection. SEAL (1998)
Hongxing He, Zhexue Huang
Boosting Neural Networks in Real Worls Applications: An Empirical Study. Australian Joint Conference on Artificial Intelligence (1997)
Donald Fraser, Hongxing He, Robert A. Schowengerdt
High-fidelity image warping for serial and parallel processing. ICIP (3) (1996)