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Dr Michael Mayo

Senior Lecturer (Computer Science)

Qualifications: BA(Hons) Otago PhD Cant

Contact Details

Email: michael.mayo@waikato.ac.nz
Room: G.2.24
Phone: +64 7 838 4403
Extension: 4403

Research Interests

Artificial Intelligence (metaheuristics, machine learning, etc) and it applications in health/medicine.

Teaching Commitments

Recent Publications

  • Wang, H., Gouk, H., Frank, E., Pfahringer, B., & Mayo, M. (2020). A comparison of machine learning methods for cross-domain few-shot learning. In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.), AI 2020: Advances in Artificial Intelligence. AI 2020. Lecture Notes in Computer Science Vol. LNAI 12576 (pp. 445-457). Cham: Springer. doi:10.1007/978-3-030-64984-5_35 Open Access version: https://hdl.handle.net/10289/14027

  • 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

  • Yogarajan, V., Pfahringer, B., & Mayo, M. (2020). A review of automatic end-to-end de-Identification: Is high accuracy the only metric?. Applied Artificial Intelligence, 34(3), 251-269. doi:10.1080/08839514.2020.1718343 Open Access version: https://hdl.handle.net/10289/13594

  • Mayo, M., & Koutny, T. (2020). Neural multi-class classification approach to blood glucose level forecasting with prediction uncertainty visualisation. In K. Bach, R. Bunescu, C. Marling, & N. Wiratunga (Eds.), Proc 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH 2020) Vol. 2675 (pp. 80-84). Santiago de Compostela, Spain & Virtually: CEUR Workshop Proceedings. Retrieved from http://ceur-ws.org/Vol-2675/paper13.pdf

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