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Dr Tony Smith

Senior Lecturer (Computer Science)

Qualifications: MSc Calg PhD Waikato

Contact Details

Email: tcs@waikato.ac.nz
Room: G.2.26A
Phone: +64 7 838 4453
Extension: 4453
Fax: +64 7 858 5095
Website: http://www.cs.waikato.ac.nz/~tcs/

About Tony

I received my undergraduate and graduate degrees in Computer Science from the University of Calgary, and earned my PhD at the University of Waikato.

Research Interests

A general theme of my research is adaptive systems. My background is in artificial intelligence and machine learning, with particular focus on language processing problems. More recently I have been spending quite a bit of time working on bioinformatics projects, and on applications of reinforcement learning within autonomous agents.

I am a member of the editorial board for the International Journal on Intelligent Data Analysis, and a charter member of (among other things) the Australasian Language Technology Association.

Recent Publications

  • Peng, M., Sundararajan, V., Williamson, T., Minty, E. P., Smith, T. C., Doktorchik, C. T. A., & Quan, H. (2018). Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data. Journal of Biomedical Informatics, 79, 41-47. doi:10.1016/j.jbi.2018.02.001

  • Peng, M., Sundararajan, V., Williamson, T., Minty, E. P., Smith, T. C., Doktorchik, C. T. A., & Quan, H. (2018). Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes. Data in Brief, 18, 710-712. doi:10.1016/j.dib.2018.02.043 Open Access version: https://hdl.handle.net/10289/11839

  • Smith, T. C., & Frank, E. (2016). Introducing machine learning concepts with WEKA. In E. Mathé, & S. Davis (Eds.), Statistical Genomics: Methods and Protocols (Vol. 1418, pp. 353-378). Springer. doi:10.1007/978-1-4939-3578-9_17

  • Gilman, A. C., Hogg, I. D., Collier, K. J., Smith, T. C., Dowle, E. J., & Banks, J. C. (2014). Developing a molecular macroinvertebrate community index (MMCI) using Next Generation DNA Sequencing. Poster session presented at the meeting of Joint Water Symposium of the New Zealand Hydrological Society, New Zealand Freshwater Sciences Society and the IPENZ Rivers Group. Blenheim, NZ.

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