Karin R. Bryan

According to our database, Karin R. Bryan authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, February, 2025

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Extracting Remotely Sensed Water Quality Parameters from Shallow Intertidal Estuaries.

Zhanchao Shao, Karin R. Bryan, Moritz K. Lehmann, Conrad A. Pilditch

Remote. Sens., January, 2023

Graph-Based Deep Learning for Sea Surface Temperature Forecasts.

Ding Ning, Varvara Vetrova, Karin R. Bryan

CoRR, 2023