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 Open Access version: https://hdl.handle.net/10289/14934
Vyas, P., Smith, T., Feldman, P., Dant, A., Calude, A., & Patros, P. (2021). Who is the ringleader? Modelling influence in discourse using Doc2Vec. In Proc IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C 2021) (pp. 299-300). Washington, DC, USA: IEEE. doi:10.1109/ACSOS-C52956.2021.00074
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). 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 Open Access version: https://hdl.handle.net/10289/12688
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