Research Publications for Michael J Mayo

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Author's Publications

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• Daoud, M., & Mayo, M. (2018). A novel synthetic over-sampling technique for imbalanced classification of gene expressions using autoencoders and swarm optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 603-615). doi:10.1007/978-3-030-03991-2_55

  Other publications by:
  MAYO, Michael J

• Yogarajan, V., Mayo, M., & Pfahringer, B. (2018). Privacy protection for health information research in New Zealand district health boards. New Zealand Medical Journal, 131(1485), 19-26.

  Open Access version at:
  https://hdl.handle.net/10289/12161
  Other publications by:
  YOGARAJAN, Vithya :: MAYO, Michael J :: PFAHRINGER, Bernhard M

• Mayo, M., & Goltz, N. (2017). Constructing document vectors using kernel density estimates. In V. Torra, Y. Narukawa, A. Honda, & S. Inoue (Eds.), Modeling Decisions for Artificial Intelligence. MDAI 2017 (pp. 183-194). Cham: Springer. doi:10.1007/978-3-319-67422-3_16

  Other publications by:
  MAYO, Michael J :: GOLTZ, Nachshon (Sean)

• Doaud, M., & Mayo, M. (2017). Using swarm optimization to enhance autoencoder’s images. In V. Torra, Y. Narukawa, A. Honda, & S. Inoue (Eds.), USB Proc 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017) (pp. 118-131). Kitakyushu, Japan.

  Other publications by:
  MAYO, Michael J

• Wilson, B., Wakes, S., & Mayo, M. (2017). Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning. In Proc 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017) (pp. 1-8). Honolulu, Hawaii: IEEE. doi:10.1109/SSCI.2017.8280844

  Open Access version at:
  https://hdl.handle.net/10289/11785
  Other publications by:
  MAYO, Michael J

• Goltz, N., & Mayo, M. (2017). Enhancing regulatory compliance by using artificial intelligence text mining to identify penalty clauses in legislation. In MIREL 2017 - Workshop on 'Mining and REasoning with Legal texts', held in conjunction with the 16th International Conference on Artificial Intelligence and Law. Conference held at King’s College, London, UK.

  Open Access version at:
  https://hdl.handle.net/10289/11940
  Other publications by:
  GOLTZ, Nachshon (Sean) :: MAYO, Michael J

• Mayo, M., & Daoud, M. (2017). Aesthetic local search of wind farm layouts. Information, 8(2), 39. doi:10.3390/info8020039

  Open Access version at:
  https://hdl.handle.net/10289/11017
  Other publications by:
  MAYO, Michael J

• Mayo, M., & Daoud, M. (2016). Informed mutation of wind farm layouts to maximise energy harvest. Renewable Energy, 89, 437-448. doi:10.1016/j.renene.2015.12.006

  Open Access version at:
  https://hdl.handle.net/10289/10078
  Other publications by:
  MAYO, Michael J

• Mayo, M., & Bifet, A. (2016). Deferral classification of evolving temporal dependent data streams. In Proc 31st Annual ACM Symposium on Applied Computing (pp. 952-954). Pisa, Italy: ACM. doi:10.1145/2851613.2851890

  Open Access version at:
  https://hdl.handle.net/10289/10549
  Other publications by:
  MAYO, Michael J

• Mayo, M. J., & Omranian, S. (2016). Towards a new evolutionary subsampling technique for heuristic optimisation of load disaggregators. In H. Cao, J. Li, & R. Wang (Eds.), Trends and Applications in Knowledge Discovery and Data Mining, PAKDD 2016 Workshops, Revised Selected Papers Vol. LNCS 9794 (pp. 3-14). Conference held at Auckland, NZ: Springer. doi:10.1007/978-3-319-42996-0_1

  Open Access version at:
  https://hdl.handle.net/10289/10560
  Other publications by:
  MAYO, Michael J