Rohan A. Baxter

Publication Activity (10 Years)

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

Publications

Yihao Zhang, Mehmet A. Orgun, Rohan A. Baxter, Weiqiang Lin
A Stratified Model for Short-Term Prediction of Time Series. PRICAI (2010)
Yihao Zhang, Mehmet A. Orgun, Rohan A. Baxter, Weiqiang Lin
An Application of Element Oriented Analysis Based Credit Scoring. ICDM (2010)
Yihao Zhang, Mehmet A. Orgun, Weiqiang Lin, Rohan A. Baxter
Mining Multidimensional Data through Element Oriented Analysis. PRICAI (2008)
Rohan A. Baxter, Mark Gawler, Russell Ang
Predictive Model of Insolvency Risk for Australian Corporations. AusDM (2007)
Kerry L. Taylor, Christine M. O'Keefe, John Colton, Rohan A. Baxter, Ross Sparks, Mark A. Cameron, Laurent Lefort, Uma Srinivasan
A Data Network for Health e-Research. ECEH (2006)
Rohan A. Baxter
Finding Robust Models Using a Stratified Design. Australian Conference on Artificial Intelligence (2006)
Kerry L. Taylor, Christine M. O'Keefe, John Colton, Rohan A. Baxter, Ross Sparks, Uma Srinivasan, Mark A. Cameron, Laurent Lefort
A Service Oriented Architecture for a Health Research Data Network. SSDBM (2004)
Lifang Gu, Rohan A. Baxter
Adaptive Filtering for Efficient Record Linkage. SDM (2004)
Christine M. O'Keefe, Ming Yung, Lifang Gu, Rohan A. Baxter
Privacy-preserving data linkage protocols. WPES (2004)
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)
Simon Hawkins, Graham J. Williams, Rohan A. Baxter, Peter Christen, Michael J. Fett, Markus Hegland, Fuchun Huang, Ole Møller Nielsen, Tatiana Semenova, Andrew Smith
Data Mining of Administrative Claims Data for Pathology Services. HICSS (2001)
Rohan A. Baxter, Graham J. Williams, Hongxing He
Feature Selection for Temporal Health Records. PAKDD (2001)
Rohan A. Baxter, Jonathan J. Oliver
Finding overlapping components with MML. Stat. Comput. 10 (1) (2000)
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
Minimum Message Length Segmentation. PAKDD (1998)
David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace
Point Estimation Using the Kullback-Leibler Loss Function and MML. PAKDD (1998)
Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse
Analysing Rock Samples for the Mars Lander. KDD (1998)
Rohan A. Baxter, Jonathan J. Oliver
Finding Overlapping Distributions with MML. AISTATS (1997)
Rohan A. Baxter, Jonathan J. Oliver
The Kindest Cut: Minimum Message Length Segmentation. ALT (1996)
William B. Levy, Rohan A. Baxter
Energy efficient neural codes. Neural Comput. 8 (3) (1996)
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
Unsupervised Learning Using MML. ICML (1996)