Dr Tony Smith
Senior Lecturer (Computer Science)
Qualifications: MSc Calg PhD Waikato
I received my undergraduate and graduate degrees in Computer Science from the University of Calgary, and earned my PhD at the University of Waikato.
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.
Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2021). Transformers for multi-label classification of medical text: an empirical comparison. In A. Tucker, P. Henriques Abreu, J. Cardoso, P. Pereira Rodrigues, & D. Riaño (Eds.), Proc 19th International Conference on Artificial Intelligence in Medicine (AIME 2021), LNCS 12721 (pp. 114-123). Virtual Event: Springer. doi:10.1007/978-3-030-77211-6_12
Yogarajan, V., Gouk, H., Smith, T., Mayo, M., & Pfahringer, B. (2020). Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes. In P. Sitek, M. Petranik, M. Krótkiewicz, & C. Srinilta (Eds.), Proc 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020) LNCS 12033 (pp. 97-108). Phuket, Thailand: Springer. doi:10.1007/978-3-030-41964-6_9 Open Access version: https://hdl.handle.net/10289/13591
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
Berenjian, A., Smith, T., & Soo, K. (2018). Virtual bioprocess simulation laboratory for teaching and learning. In Ako Aotearoa Northern Hub Projects Colloquium (pp. 12). Auckland, NZ: Ako Aotearoa.
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