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). 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

• 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).

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

• Bifet, A., Zhang, J., Fan, W., He, C., Zhang, J., Qian, J., . . . Pfahringer, B. (2017). Extremely fast decision tree mining for evolving data streams. In Proc 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1733-1742). Conference held Halifax, NX, Canada: ACM. doi:10.1145/3097983.3098139

  Open Access version at:
  https://hdl.handle.net/10289/11588
  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

• 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). 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

• van Rijn, J. N., Holmes, G., Pfahringer, B., & Vanschoren, J. (2017). The online performance estimation framework: heterogeneous ensemble learning for data streams. Machine Learning. [First online: 2017], 107(1), 149-176. doi:10.1007/s10994-017-5686-9

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

• 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

• Durrant, R. J., Kim, K. E., Holmes, G., Marsland, S., Sugiyama, M., & Zhou, Z. H. (2017). Foreword: Special issue for the Journal Track of the 8th Asian Conference on Machine Learning (ACML 2016). Machine Learning, 106(5), 623-625. doi:10.1007/s10994-017-5637-5

  Open Access version at:
  https://hdl.handle.net/10289/11072
  Other publications by:
  DURRANT, Robert J (Bob) :: HOLMES, Geoffrey

• Read, J., Reutemann, P., Pfahringer, B., & Holmes, G. (2016). MEKA: A multi-label/multi-target extension to WEKA. Journal of Machine Learning Research, 17(21), 1-5.

  Open Access version at:
  https://hdl.handle.net/10289/10136
  Other publications by:
  REUTEMANN, Peter :: PFAHRINGER, Bernhard M :: HOLMES, Geoffrey