Dr Ian Wood
Dr

Ian Wood

Email: 
Phone: 
+61 7 336 56139

Background

Dr. Ian Wood’s research interests are in classification, bioinformatics, stochastic optimisation, machine learning and mixture models.

He received his PhD from the University of Queensland in 2004.

Availability

Dr Ian Wood is:
Available for supervision

Fields of research

Information and Computing Sciences Statistics

Qualifications

  • Bachelor (Honours) of Science (Advanced), The University of Queensland
  • Bachelor (Honours) of Engineering, The University of Queensland
  • Doctor of Philosophy, The University of Queensland

Search Professor Ian Wood’s works on UQ eSpace

34 works between 1998 and 2023
All (34) Journal Article (20) Conference Publication (13) Other Outputs (1)

21 - 34 of 34 works

2011

Conference Publication

Ontology guided data linkage framework for discovering meaningful data facts

Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Ontology guided data linkage framework for discovering meaningful data facts. 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Beijing, China, 17-19 December 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-25856-5_19

Ontology guided data linkage framework for discovering meaningful data facts

2011

Conference Publication

Producing new forms of engaging: High-benefit assessment for undergraduate science students

Rowland, S. L. and Wood, I. (2011). Producing new forms of engaging: High-benefit assessment for undergraduate science students. 18th Annual ASM Conference for Undergraduate Educators, Baltimore, MD, United States, 2 - 5 June 2011. United States: American Society for Microbiology. doi: 10.1128/jmbe.v12i1.298

Producing new forms of engaging: High-benefit assessment for undergraduate science students

2011

Conference Publication

Approximate record matching using hash grams

Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Approximate record matching using hash grams. 2011 IEEE 11th International Conference on Data Mining (ICDM 2011), Vancouver Canada, 11-14 December 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDMW.2011.33

Approximate record matching using hash grams

2010

Journal Article

Nonlinear features for single-channel diagnosis of sleep-disordered breathing diseases

Rathnayake, Suren I., Wood, Ian A., Abeyratne, Udantha R. and Hukins, Craig (2010). Nonlinear features for single-channel diagnosis of sleep-disordered breathing diseases. IEEE Transactions on Biomedical Engineering, 57 (8) 5424006, 1973-1981. doi: 10.1109/TBME.2010.2044175

Nonlinear features for single-channel diagnosis of sleep-disordered breathing diseases

2010

Conference Publication

Rebuilding a generalist biochemistry course around core concepts rather than heavy content: Painting the big picture for a large mixed-learner cohort

Rowland, S., Gillam, E. M. J., Hamilton, S. E., Ramakrishna, M., Reid, A., Smith, C., Ward, L. C., Wood, I. and Wright, A. (2010). Rebuilding a generalist biochemistry course around core concepts rather than heavy content: Painting the big picture for a large mixed-learner cohort. 21st Biennial Conference on Chemistry Education, Denton, TX, U.S.A., 1-5 August 2010.

Rebuilding a generalist biochemistry course around core concepts rather than heavy content: Painting the big picture for a large mixed-learner cohort

2008

Journal Article

Investigation of the relationship between smoking and appendicitis in Australian twins

Oldmeadow, Chris, Wood, Ian, Mengersen, Kerrie, Visscher, Peter M., Martin, Nicholas G. and Duffy, David L. (2008). Investigation of the relationship between smoking and appendicitis in Australian twins. Annals of Epidemiology, 18 (8), 631-636. doi: 10.1016/j.annepidem.2008.04.004

Investigation of the relationship between smoking and appendicitis in Australian twins

2008

Journal Article

On selection biases with prediction rules formed from gene expression data

Zhu, J. X., McLachlan, G. J., Jones, L. B. T. and Wood, I. A. (2008). On selection biases with prediction rules formed from gene expression data. Journal of Statistical Planning and Inference, 138 (2), 374-386. doi: 10.1016/j.jspi.2007.06.003

On selection biases with prediction rules formed from gene expression data

2007

Journal Article

Classification based upon gene expression data: bias and precision of error rates

Wood, I. A., Visscher, P. M. and Mengersen, K. L. (2007). Classification based upon gene expression data: bias and precision of error rates. Bioinformatics, 23 (11), 1363-1370. doi: 10.1093/bioinformatics/btm117

Classification based upon gene expression data: bias and precision of error rates

2007

Conference Publication

Bayesian inference in estimation of distribution algorithms

Gallagher, M. R., Wood, I., Keith, J. and Sofronov, G. (2007). Bayesian inference in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, 25-28 September 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/CEC.2007.4424463

Bayesian inference in estimation of distribution algorithms

2006

Journal Article

A meta-analytic assessment of the Thyroglobulin marker for marbling in beef cattle

Wood, Ian A., Moser, Gerhard, Burrell, Daniel L., Mengersen, Kerrie L. and Hetzel, D. Jay S. (2006). A meta-analytic assessment of the Thyroglobulin marker for marbling in beef cattle. Genetics Selection Evolution, 38 (5), 479-494. doi: 10.1051/gse:2006016

A meta-analytic assessment of the Thyroglobulin marker for marbling in beef cattle

2005

Conference Publication

Comparative Mapping of Genomes

Wood, I. A., Mengersen, K. and Moser, G. (2005). Comparative Mapping of Genomes. International Workshop on Statistical Modelling (IWSM 2005), Sydney, Australia, 10-15 July, 2005. Amsterdam, The Netherlands: Statistical Modelling Scoiety.

Comparative Mapping of Genomes

2004

Other Outputs

Boltzmann machine learning : analysis and improvements

Wood, Ian Andrew (2004). Boltzmann machine learning : analysis and improvements. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/106803

Boltzmann machine learning : analysis and improvements

2002

Journal Article

Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces

Gallagher, Marcus, Downs, Tom and Wood, Ian (2002). Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces. Neural Processing Letters, 16 (2), 177-186. doi: 10.1023/A:1019956303894

Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces

1998

Conference Publication

Demon algorithms and their application to optimization problems

Wood, and Downs, T (1998). Demon algorithms and their application to optimization problems. 2nd IEEE World Congress on Computational Intelligence (WCCI 98), Anchorage Ak, May 04-09, 1998. NEW YORK: IEEE.

Demon algorithms and their application to optimization problems

Availability

Dr Ian Wood is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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