Accentuating the positive while eliminating the negative of alien tree invasions: a multiple ecosystem services approach to prioritising control efforts NWH Mason, DJ Palmer, V Vetrova, L Brabyn, T Paul, P Willemse, ... Biological Invasions 19 (4), 1181-1195, 2017 | 28 | 2017 |
Toward creating simpler hydrological models: A LASSO subset selection approach WE Bardsley, V Vetrova, S Liu Environmental Modelling & Software 72, 33-43, 2015 | 21 | 2015 |
Долгосрочное прогнозирование гидроэнергетического потенциала каскада ГЭС в условиях изменения климата НВ Абасов, ТВ Бережных, ВВ Ветрова Известия Российской академии наук. Энергетика, 49-57, 2012 | 14 | 2012 |
Об исследовании динамики увлажненности территории Прибайкалья НВ Абасов, ТВ Бережных, ВВ Ветрова Сборник статей международной научно-практической конференции, посвященной 75 …, 2009 | 11 | 2009 |
Large-scale automatic species identification J Mo, E Frank, V Vetrova AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint …, 2017 | 10 | 2017 |
Table header correction algorithm based on heuristics for improving spreadsheet data extraction V Paramonov, A Shigarov, V Vetrova Information and Software Technologies: 26th International Conference, ICIST …, 2020 | 9 | 2020 |
Heuristic algorithm for recovering a physical structure of spreadsheet header V Paramonov, A Shigarov, V Vetrova, A Mikhailov Information Systems Architecture and Technology: Proceedings of 40th …, 2020 | 6 | 2020 |
An optimised six-wavelength model for predicting kiwifruit dry matter KA Shafie, R Künnemeyer, A McGlone, S Talele, V Vetrova Journal of Near Infrared Spectroscopy 23 (2), 103-109, 2015 | 5 | 2015 |
Пространственно-временная декомпозиция притоков в Ангарский каскад ГЭС в задачах долгосрочного прогнозирования ТВ Бережных, НВ Абасов, ОЮ Марченко, ВВ Ветрова Доклады Третьей Всерос. конференции «Фундаментальные проблемы воды и водных …, 2010 | 5 | 2010 |
Technical note: A significance test for data-sparse zones in scatter plots VV Vetrova, WE Bardsley Hydrology and Earth System Sciences 16 (4), 1255-1257, 2012 | 4 | 2012 |
Исследование влияния Арктики на гидроэнергетический потенциал Ангарского каскада ГЭС НВ Абасов, ТВ Бережных, ВВ Ветрова HYDROLOGICAL IMPACT OF CLIMATE CHANGE, 42, 2007 | 4 | 2007 |
Estimating evaporation for low wind speeds at an eddy correlation site: potential for windbreak evaluation E Barsdley, V Vetrova Journal of Hydrology: New Zealand 58 (1), 57-63, 2019 | 3 | 2019 |
Hidden features: Experiments with feature transfer for fine-grained multi-class and one-class image categorization V Vetrova, S Coup, E Frank, MJ Cree 2018 International Conference on Image and Vision Computing New Zealand …, 2018 | 3 | 2018 |
Foehn Wind Analysis using Unsupervised Deep Anomaly Detection T Milz, V Vetrova EGU23, 2023 | 2 | 2023 |
Rule driven spreadsheet data extraction from statistical tables: Case study V Paramonov, A Shigarov, V Vetrova Information and Software Technologies: 27th International Conference, ICIST …, 2021 | 2 | 2021 |
Extracting Group Velocity Dispersion values using quantum-mimic Optical Coherence Tomography and Machine Learning KA Maliszewski, MA Urbańska, P Kolenderski, V Vetrova, ... Scientific Reports 13 (1), 6596, 2023 | 1 | 2023 |
Graph-Based Deep Learning for Sea Surface Temperature Forecasts D Ning, V Vetrova, KR Bryan arXiv preprint arXiv:2305.09468, 2023 | 1 | 2023 |
Towards retrieving dispersion profiles using quantum-mimic optical coherence tomography and machine learning KA Maliszewski, P Kolenderski, V Vetrova, SM Kolenderska Optics Express 30 (25), 45624-45634, 2022 | 1 | 2022 |
Dispersion-contrast imaging using machine learning KA Maliszewski, V Vetrova, HT Li, P Kolenderski, SM Kolenderska Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2022 | 1 | 2022 |
Removing parasitic elements from Quantum Optical Coherence Tomography data with Convolutional Neural Networks K Maliszewski, SM Kolenderska, V Vetrova ICML 2022 2nd AI for Science Workshop, 2022 | 1 | 2022 |