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Dr Michael Mayo

Michael Mayo

Senior Lecturer (Computer Science)

Qualifications: BA(Hons) Otago PhD Cant

Papers Taught

Research Interests

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

Recent Publications

  • 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

  • Mayo, M., & Frank, E. (2020). Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data. Applied Artificial Intelligence, 34(6), 484--514. doi:10.1080/08839514.2020.1726615 Open Access version: https://hdl.handle.net/10289/12514

  • Hébert-Losier, K., Hanzlíková, I., Zheng, C., Streeter, L., & Mayo, M. (2020). The 'DEEP' landing error scoring system. Applied Sciences (Switzerland), 10(3). doi:10.3390/app10030892

  • 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 Intelligent Information and Database Systems (pp. 97-108). Springer International Publishing. doi:10.1007/978-3-030-41964-6_9

Find more research publications by Michael Mayo

Keywords

Data; Data mining; Health; Imaging; Machine Learning


Contact Details

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