Research Publications for Geoffrey Holmes

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Author's Publications

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• Gibert, K., Horsburgh, J. S., Athanasiadis, I. N., & Holmes, G. (2018). Environmental data science. Environmental Modelling & Software, 106, 4-12. doi:10.1016/j.envsoft.2018.04.005

  Other publications by:
  HOLMES, Geoffrey

• Gibert, K., Horsburgh, J. S., Athanasiadis, I. N., & Holmes, G. (2018). Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle. Environmental Modelling and Software, 106, 1-3. doi:10.1016/j.envsoft.2018.03.020

  Other publications by:
  HOLMES, Geoffrey

• Bifet, A., Gavaldà, R., Pfahringer, B., & Holmes, G. (2018). Machine learning for data streams with practical examples in MOA. MIT Press. Retrieved from https://mitpress.mit.edu/books/machine-learning-data-streams

  Other publications by:
  HOLMES, Geoffrey

• Chen, Y., Zhou, Y., Sharifi, N., Murch, R., & Holmes, G. (2018). Drug delivery via nanomachines. In X. Shen, X. Lin, & K. Zhang (Eds.), Encyclopedia of Wireless Networks (pp. 1-7). Cham: Springer. doi:10.1007/978-3-319-32903-1_224-1

  Other publications by:
  CHEN, Yifan :: HOLMES, Geoffrey

• Chen, Y., Sharifi, N., & Holmes, G. (2018). Biosensing by learning: cancer detection as iterative optimization. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1837-1840). Conference held at Honolulu, Hawaii: IEEE. doi:10.1109/EMBC.2018.8512705

  Other publications by:
  CHEN, Yifan :: HOLMES, Geoffrey

• Bifet, A., Read, J., Holmes, G., & Pfahringer, B. (2018). Streaming data mining with Massive Online Analytics (MOA). In M. Last, H. Bunke, & A. Kandel (Eds.), Data Mining in Time Series and Streaming Databases (pp. 1-25). doi:10.1142/9789813228047_0001

  Other publications by:
  HOLMES, Geoffrey :: PFAHRINGER, Bernhard M

• Gomes, H. M., Bifet, A., Read, J., Barddal, J. P., Enembreck, F., Pfharinger, B., . . . Abdessalem, T. (2017). Adaptive random forests for evolving data stream classification. Machine Learning, (Online First), 27 pages. doi:10.1007/s10994-017-5642-8

  Open Access version at:
  https://hdl.handle.net/10289/11231
  Other publications by:
  HOLMES, Geoffrey

• Tan, A. Y. S., Chaisiri, S., Ko, R. K. L., Ko, R. K. K. L., Holmes, G., & Rogers, B. (2017). Data provenance in cloud. In V. Kumar, S. Chaisiri, & R. Ko (Eds.), Data Security in Cloud Computing (pp. 261-275). London: IET. doi:10.1049/PBSE007E_ch12

  Other publications by:
  KO, Ryan Kok Leong K L (Ryan) :: HOLMES, Geoffrey :: ROGERS, William J

• Holmes, G., Liu, T. Y., Li, H., King, I., Sugiyama, M., & Zhou, Z. H. (2017). Introduction: Special Issue of Selected Papers from ACML 2015. Machine Learning, 106(4), 459-461. doi:10.1007/s10994-017-5636-6

  Open Access version at:
  https://hdl.handle.net/10289/11057
  Other publications by:
  HOLMES, Geoffrey

• Leathart, T., Frank, E., Holmes, G., & Pfahringer, B. (2017). Probability calibration trees. In M. -L. Zhang, & Y. -K. Noh (Eds.), Proc 9th Asian Conference on Machine Learning (ACML 2017) Vol. PMLR 77 (pp. 145-160). Conference held Seoul, Korea. Retrieved from http://proceedings.mlr.press/v77/leathart17a.html

  Open Access version at:
  https://hdl.handle.net/10289/11515
  Other publications by:
  FRANK, Eibe T :: HOLMES, Geoffrey :: PFAHRINGER, Bernhard M