Varvara Vetrova

LecturerVarvara Vetrova

Postgraduate Mentor
Jack Erskine 712
Internal Phone: 92473

Research Interests

Applied statistics and machine learning in environmental domain. Applications of deep neural networks for fine-grained recognition.

Recent Publications

  • Mason NWH., Palmer DJ., Vetrova V., Brabyn L., Paul T., Willemse P. and Peltzer DA. (2017) Accentuating the positive while eliminating the negative of alien tree invasions: a multiple ecosystem services approach to prioritising control efforts. Biological Invasions 19(4): 1181-1195. http://dx.doi.org/10.1007/s10530-016-1307-y.
  • Vetrova V. and Bardsley E. (2017) A simple nonparametric index of bivariate association for environmental data exploration. Environmental Modelling and Software 96: 283-290. http://dx.doi.org/10.1016/j.envsoft.2017.07.006.
  • Vetrova V. and Bardsley WE. (2017) R Code for Data Simulation with Moment Matching. Open Water 4(1) 7: 72-74. http://scholarsarchive.byu.edu/openwater/vol4/iss1/7/.
  • Bardsley WE., Vetrova V. and Liu S. (2015) Toward creating simpler hydrological models: A LASSO subset selection approach. Environmental Modelling and Software 72: 33-43. http://dx.doi.org/10.1016/j.envsoft.2015.06.008.
  • Shafie KA., Künnemeyer R., McGlone A., Talele S. and Vetrova V. (2015) An optimised six-wavelength model for predicting kiwifruit dry matter. Journal of Near Infrared Spectroscopy 23(2): 103-109. http://dx.doi.org/10.1255/jnirs.1151.