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Rohan A. Baxter
Person information
- affiliation: CSIRO, Canberra, Australia
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2010 – 2019
- 2017
- [r4]Rohan A. Baxter:
Minimum Message Length. Encyclopedia of Machine Learning and Data Mining 2017: 827-834 - [r3]Rohan A. Baxter:
Mixture Model. Encyclopedia of Machine Learning and Data Mining 2017: 841-844 - 2010
- [c20]Yihao Zhang, Mehmet A. Orgun, Rohan A. Baxter, Weiqiang Lin:
An Application of Element Oriented Analysis Based Credit Scoring. ICDM 2010: 544-557 - [c19]Yihao Zhang, Mehmet A. Orgun, Rohan A. Baxter, Weiqiang Lin:
A Stratified Model for Short-Term Prediction of Time Series. PRICAI 2010: 372-383 - [r2]Rohan A. Baxter:
Minimum Message Length. Encyclopedia of Machine Learning 2010: 668-674 - [r1]Rohan A. Baxter:
Mixture Model. Encyclopedia of Machine Learning 2010: 680-682
2000 – 2009
- 2008
- [c18]Yihao Zhang, Mehmet A. Orgun, Weiqiang Lin, Rohan A. Baxter:
Mining Multidimensional Data through Element Oriented Analysis. PRICAI 2008: 556-567 - 2007
- [c17]Rohan A. Baxter, Mark Gawler, Russell Ang:
Predictive Model of Insolvency Risk for Australian Corporations. AusDM 2007: 21-28 - 2006
- [c16]Rohan A. Baxter:
Finding Robust Models Using a Stratified Design. Australian Conference on Artificial Intelligence 2006: 1064-1068 - [c15]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: 215-226 - [p1]Lifang Gu, Rohan A. Baxter:
Decision Models for Record Linkage. Selected Papers from AusDM 2006: 146-160 - 2004
- [c14]Lifang Gu, Rohan A. Baxter:
Adaptive Filtering for Efficient Record Linkage. SDM 2004: 477-481 - [c13]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: 443-444 - [c12]Christine M. O'Keefe, Ming Yung, Lifang Gu, Rohan A. Baxter:
Privacy-preserving data linkage protocols. WPES 2004: 94-102 - 2002
- [c11]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: 660-671 - [c10]Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter:
Outlier Detection Using Replicator Neural Networks. DaWaK 2002: 170-180 - [c9]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: 709-712 - 2001
- [c8]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 - [c7]Rohan A. Baxter, Graham J. Williams, Hongxing He:
Feature Selection for Temporal Health Records. PAKDD 2001: 198-209 - 2000
- [j2]Rohan A. Baxter, Jonathan J. Oliver:
Finding overlapping components with MML. Stat. Comput. 10(1): 5-16 (2000)
1990 – 1999
- 1998
- [c6]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: 299-303 - [c5]David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace:
Point Estimation Using the Kullback-Leibler Loss Function and MML. PAKDD 1998: 87-95 - [c4]Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace:
Minimum Message Length Segmentation. PAKDD 1998: 222-233 - 1997
- [c3]Rohan A. Baxter, Jonathan J. Oliver:
Finding Overlapping Distributions with MML. AISTATS 1997: 23-30 - 1996
- [j1]William B. Levy, Rohan A. Baxter:
Energy efficient neural codes. Neural Comput. 8(3): 531-543 (1996) - [c2]Rohan A. Baxter, Jonathan J. Oliver:
The Kindest Cut: Minimum Message Length Segmentation. ALT 1996: 83-90 - [c1]Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace:
Unsupervised Learning Using MML. ICML 1996: 364-372
Coauthor Index
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