 | 2011 |
|---|
| 7 |       | Stefano Ceccon,
David Garway-Heath,
David P. Crabb,
Allan Tucker:
The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process.
IDA 2011: 101-112 |
| 6 | | Stefano Ceccon,
David Garway-Heath,
David P. Crabb,
Allan Tucker:
Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise.
Ensembles in Machine Learning Applications 2011: 133-150 |
| 5 | | Haogang Zhu,
David P. Crabb,
Patricio G. Schlottmann,
Gadi Wollstein,
David Garway-Heath:
Aligning Scan Acquisition Circles in Optical Coherence Tomography Images of The Retinal Nerve Fibre Layer.
IEEE Trans. Med. Imaging 30(6): 1228-1238 (2011) |
| 2010 |
|---|
| 4 | | Allan Tucker,
David Garway-Heath:
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data.
IEEE Transactions on Information Technology in Biomedicine 14(1): 79-85 (2010) |
| 2007 |
|---|
| 3 | | Stephen Swift,
Allan Tucker,
Jason Crampton,
David Garway-Heath:
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data.
GECCO 2007: 2174-2181 |
| 2005 |
|---|
| 2 | | Allan Tucker,
Veronica Vinciotti,
Xiaohui Liu,
David Garway-Heath:
A spatio-temporal Bayesian network classifier for understanding visual field deterioration.
Artificial Intelligence in Medicine 34(2): 163-177 (2005) |
| 2003 |
|---|
| 1 | | Allan Tucker,
Xiaohui Liu,
David Garway-Heath:
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data.
GECCO 2003: 2360-2371 |
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