Varvara Vetrova

19 papers A* 2Misc 3Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 Misc ed.
Data Science and Machine Learning - 22nd Australasian Conference, AusDM 2024, Melbourne, VIC, Australia, November 25-27, 2024, Proceedings
AusDM
Thirunavukarasu Balasubramaniam, Kewen Liao, Varvara Vetrova, Diana Benavides-Prado, Yee Ling Boo, Yanchang Zhao
2025 J jnl
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models.
CoRR
Ding Ning, Varvara Vetrova, Sébastien Delaux, Rachael Tappenden, Karin R. Bryan, Yun Sing Koh
2025 J jnl
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies.
CoRR
Ding Ning, Varvara Vetrova, Karin R. Bryan, Yun Sing Koh, Andreas Voskou, N'Dah Jean Kouagou, Arnab Sharma
2025 J jnl
Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training.
CoRR
Thomas Bailie, S. Karthik Mukkavilli, Varvara Vetrova, Yun Sing Koh
2025 J jnl
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks.
CoRR
Thomas Bailie, Yun Sing Koh, S. Karthik Mukkavilli, Varvara Vetrova
2024 J jnl
Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach.
CoRR
Ding Ning, Varvara Vetrova, Yun Sing Koh, Karin R. Bryan
2024 A* conf
Selective Nonlinearities Removal from Digital Signals.
CVPR
Krzysztof A. Maliszewski, Magdalena A. Urbanska, Varvara Vetrova, Sylwia M. Kolenderska
2024 A* conf
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme.
IJCAI
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
2023 J jnl
Graph-Based Deep Learning for Sea Surface Temperature Forecasts.
CoRR
Ding Ning, Varvara Vetrova, Karin R. Bryan
2023 Misc conf
Law in Order: An Open Legal Citation Network for New Zealand.
AusDM
Tobias Milz, Elizabeth Macpherson, Varvara Vetrova
2022 — conf
Towards Comparison of Table Type Taxonomies.
MIPRO
O. Kostyleva, Viacheslav Paramonov, Alexey O. Shigarov, Varvara Vetrova
2022 J jnl
Towards retrieving dispersion profiles using quantum-mimic Optical Coherence Tomography and Machine Learnin.
CoRR
Krzysztof A. Maliszewski, Piotr Kolenderski, Varvara Vetrova, Sylwia M. Kolenderska
2021 — conf
Rule Driven Spreadsheet Data Extraction from Statistical Tables: Case Study.
ICIST
Viacheslav Paramonov, Alexey O. Shigarov, Varvara Vetrova
2020 — conf
Table Header Correction Algorithm Based on Heuristics for Improving Spreadsheet Data Extraction.
ICIST
Viacheslav Paramonov, Alexey O. Shigarov, Varvara Vetrova
2019 — conf
Heuristic Algorithm for Recovering a Physical Structure of Spreadsheet Header.
ISAT (1)
Viacheslav Paramonov, Alexey O. Shigarov, Varvara Vetrova, Andrey A. Mikhailov
2018 Misc conf
Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization.
IVCNZ
Varvara Vetrova, Sheldon Coup, Eibe Frank, Michael J. Cree
2017 J jnl
A simple nonparametric index of bivariate association for environmental data exploration.
Environ. Model. Softw.
Varvara Vetrova, Earl Bardsley
2017 — conf
Large-Scale Automatic Species Identification.
Australasian Conference on Artificial Intelligence
Jeff Mo, Eibe Frank, Varvara Vetrova
2015 J jnl
Toward creating simpler hydrological models: A LASSO subset selection approach.
Environ. Model. Softw.
W. E. Bardsley, Varvara Vetrova, Suxia Liu