Toward creating simpler hydrological models: A LASSO subset selection approach. - W. E. Bardsley; Varvara Vetrova; Suxia Liu (Environ. Model. Softw., 2015)

Large-Scale Automatic Species Identification. - Jeff Mo; Eibe Frank; Varvara Vetrova (Australasian Conference on Artificial Intelligence, 2017)

A simple nonparametric index of bivariate association for environmental data exploration. - Varvara Vetrova; Earl Bardsley (Environ. Model. Softw., 2017)

Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization. - Varvara Vetrova; Sheldon Coup; Eibe Frank; Michael J. Cree (IVCNZ, 2018)

Heuristic Algorithm for Recovering a Physical Structure of Spreadsheet Header. - Viacheslav Paramonov; Alexey O. Shigarov; Varvara Vetrova; Andrey A. Mikhailov (ISAT (1), 2019)

Table Header Correction Algorithm Based on Heuristics for Improving Spreadsheet Data Extraction. - Viacheslav Paramonov; Alexey O. Shigarov; Varvara Vetrova (ICIST, 2020)

Rule Driven Spreadsheet Data Extraction from Statistical Tables: Case Study. - Viacheslav Paramonov; Alexey O. Shigarov; Varvara Vetrova (ICIST, 2021)

Towards Comparison of Table Type Taxonomies. - O. Kostyleva; Viacheslav Paramonov; Alexey O. Shigarov; Varvara Vetrova (MIPRO, 2022)

Towards retrieving dispersion profiles using quantum-mimic Optical Coherence Tomography and Machine Learnin. - Krzysztof A. Maliszewski; Piotr Kolenderski; Varvara Vetrova; Sylwia M. Kolenderska (CoRR, 2022)

Law in Order: An Open Legal Citation Network for New Zealand. - Tobias Milz; Elizabeth Macpherson; Varvara Vetrova (AusDM, 2023)

Graph-Based Deep Learning for Sea Surface Temperature Forecasts. - Ding Ning; Varvara Vetrova; Karin R. Bryan (CoRR, 2023)

Selective Nonlinearities Removal from Digital Signals. - Krzysztof A. Maliszewski; Magdalena A. Urbanska; Varvara Vetrova; Sylwia M. Kolenderska (CVPR, 2024)

Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. - Yun Sing Koh; Albert Bifet; Karin R. Bryan; Guilherme Weigert Cassales; Olivier Graffeuille; Nick Jin Sean Lim; Phil Mourot; Ding Ning; Bernhard Pfahringer; Varvara Vetrova; Heitor Murilo Gomes (IJCAI, 2024)

Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach. - Ding Ning; Varvara Vetrova; Yun Sing Koh; Karin R. Bryan (CoRR, 2024)

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies. - Ding Ning; Varvara Vetrova; Karin R. Bryan; Yun Sing Koh; Andreas Voskou; N'Dah Jean Kouagou; Arnab Sharma (CoRR, 2025)

A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models. - Ding Ning; Varvara Vetrova; Sébastien Delaux; Rachael Tappenden; Karin R. Bryan; Yun Sing Koh (CoRR, 2025)

Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks. - Thomas Bailie; Yun Sing Koh; S. Karthik Mukkavilli; Varvara Vetrova (CoRR, 2025)