Benchmarking Probabilisitc Machine Learning Models for....

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice.

Authored by:

Sahara Ali, Seraj al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana Janeja.

iHARP members, and others, recently had their paper accepted by IEEE as a part of the 2022 International Geoscience and Remote Sensing Symposium (IGARSS). Their work explores the use of AI in tackling climate change by utilizing machine learning. The paper will become publicly available on July 1, 2023.

A sneak preview of the paper can be found by following this link:

https://drive.google.com/file/d/1oXotdE8TDDAu0jzs0VrEb6R5pr4xE8yt/view

Join us in congratulating the authors on their hard work and getting their paper accepted by IGARSS.