Varvara Vetrova

Senior 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.
Developing new methods for spatio-temporal forecasting, in particular with applications to extreme climate events.

Recent Publications

  • Paramonov V., Shigarov A., Vetrova V. and Mikhailov A.. (2020) Heuristic Algorithm for Recovering a Physical Structure of Spreadsheet Header. In Advances in Intelligent Systems and Computing 1050: 140-149. http://dx.doi.org/10.1007/978-3-030-30440-9_14.
  • Coup S., Vetrova V., Frank E. and Rachael T.. (2019) Domain specific transfer learning using image mixing and and stochastic image selection. In.
  • Vetrova V., Coup S., Frank E. and Cree MJ.. (2019) Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization. In Proceedings - IVCNZ 2018: 6. http://dx.doi.org/10.1109/IVCNZ.2018.8634790.
  • Vetrova V., Coup S., Frank E. and Cree M.. (2018) Difference in details: transfer learning case study of “cryptic” plants and moths. In : 4.
  • Mo J., Frank E. and Vetrova V.. (2017) Large-scale automatic species identification. In Lecture Notes in Computer Science 10400: 301-312. Springer Verlag. http://dx.doi.org/10.1007/978-3-319-63004-5_24.