Publications:
Nguyen, H.D. and Wood, I.A.
A Block
Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood
Estimation of Fully Visible Boltzmann Machines, Neural Computation,
28, 485-492, 2016.
Nguyen, H.D. and Wood, I.A. Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines, IEEE Transactions on Neural Networks and Learning Systems, 27, 897-902, 2016.
Nguyen, H.D., McLachlan, G.J. and Wood, I.A.
Mixtures of Spatial
Spline Regressions for Clustering and Classification, Computational
Statistics and Data Analysis, 93, 76-85, 2016.
Ahfock, D., Wood, I., Stephen, S., Cavanagh, C.R. and Huang, B.E. Characterizing Uncertainty in High-Density Maps from Multiparental Populations, Genetics 198, 117-128, 2014.
Ormerod, K.L., Byrnes III, E.J., Wood, I.A., Lodge, J.K., Heitman, J.and Fraser, J.A. The H99 family tree: variation in the common laboratory strains of Cryptococcus neoformans var. grubii characterised through whole-genome sequencing, Mycoses 57, 69-70, 2014.
Janbon, G., Ormerod, K.L., Paulet, D., Byrnes, E.J. III, Yadav, V. et al.
Analysis of the Genome
and Transcriptome of Cryptococcus neoformans var. grubii
Reveals Complex RNA Expression and Microevolution Leading to Virulence
Attenuation, PloS Genetics 10: e1004261, 2014.
Gao, B. and Wood, I.A.
TAM-EDA: Multivariate t Distribution, Archive and Mutation Based Estimation of
Distribution Algorithm, ANZIAM Journal, 54 C720-C746, 2014.
Gollapalli, M., Li, X. and Wood, I.
Automated discovery of
multi-faceted ontologies for accurate query answering and future semantic
reasoning, Data & Knowledge Engineering 87 405–424, 2013.
Nguyen, H.D., Wood, I.A. and Hill, M.M.
A robust
permutation test for quantitative SILAC proteomics experiments, Journal
of Integrated OMICS 2 80-93, 2012.
Grace, A.W. and Wood, I.A.,
Approximating the Tail of the Anderson-Darling Distribution,
Computational Statistics and Data Analysis, 56 4301–4311, 2012.
Nguyen, H.D. and Wood, I.A.,
Variable selection in statistical models
using population-based incremental learning with applications to genome-wide
association studies, Proceedings of the
IEEE Congress on Evolutionary Computation,
1841-1848, IEEE Press, 2012.
Chow, E.W.L., Morrow, C.A., Djordjevic, J.T., Wood, I.A. and Fraser, J.A.
Microevolution of
Cryptococcus neoformans Driven by Massive Tandem Gene Amplification,
Molecular Biology and Evolution,
29 1987-2000, 2012.
Gollapalli, M. Li, X., Wood,
I. and Governatori, G.,
Ontology Guided
Data Linkage Framework for Discovering Meaningful Data Facts, Proceedings of
the International Conference on Advanced Data Mining and Applications (ADMA
2011), Part II, Lecture Notes in Artificial Intelligence 7121 252-265, 2011.
Gollapalli, M. Li, X., Wood, I. and Governatori, G.,
Approximate Record Matching
Using Hash Grams, Proceedings of the 11th IEEE International Conference on Data
Mining Workshops (ICDM 2011) 504-511, 2011.
Rathnayake, S.I., Wood, I.A., Abeyratne, U.R. and Hukins, C.,
Nonlinear features for single channel diagnosis of sleep disordered
breathing diseases, IEEE Transactions on Biomedical Engineering 57 1973-1981, 2010.
Oldmeadow, C., Wood, I., Mengersen, K., Visscher, P.M., Martin, N.G. and Duffy,
D.L., Investigation of the relationship between smoking and appendicitis in Australian twins, Annals of Epidemiology, 18 631-636, 2008.
Zhu, J.X., McLachlan, G.J., Ben-Tovim Jones, L. and Wood, I.A.
On Selection Biases with Prediction Rules Formed from Gene Expression Data,
Journal of Statistical Planning and Inference, 138 374-386, 2008.
Gallagher, M., Wood, I., Keith, J. and Sofronov, G.
Bayesian Inference in Estimation of Distribution Algorithms, In Proceedings
of the IEEE Congress on Evolutionary Computation, 127-133, Singapore, IEEE Press, 2007.
Wood,
I.A.,
Visscher,
P.M.
and Mengersen,
K.L.,
Classification based upon gene expression data: bias and precision of error rates,
Bioinformatics 23 1363-1370, 2007.
Supplementary material.
Wood, I.A., Moser, G., Burrell, D.L., Mengersen, K.L. and Hetzel, D.J.S.,
A meta-analytic assessment of the Thyroglobulin marker for marbling in beef cattle,
Genetics Selection Evolution,
38: 479-494, 2006.
Wood, I., Mengersen, K. and Moser, G.,
Comparative Mapping of Genomes. In G. Smyth et al., editors, Proceedings of the 20th
International Workshop on Statistical Modelling. pp. 481-488,
2005.
Gallagher, M., Downs, T. and Wood, I.,
Empirical Evidence for Ultrametric Structure in Multi-layer Perceptron Error Surfaces,
Neural Processing Letters,
16(2):177-186, 2002.
Wood, I. and Downs, T.,
Demon Algorithms and their Application to Optimization Problems,
In Proc. International Joint Conference on Neural Networks (IJCNN '98),
vol. 2, pp. 1661-1666, IEEE Press, New Jersey
, 1998.
Wood,
I. and
Downs,
T.,
Fast Optimization by Demon Algorithms. In
Proc. 9th Australian Conference on Neural Networks (ACNN '98),
pp. 245-249, UQ, Brisbane, Australia,
1998.
Gallagher,
M.,
Downs,
T. and
Wood,
I.
Ultrametric Structure in Autoencoder Error Surfaces
In L. Niklasson et al., editors,
Proc. Eighth International Conference on Artificial Neural Networks (ICANN'98),
pp 177-182, Springer, London, 1998.