synthetic climate data used for Controlled Abstention Network (CAN) development
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接：
https://zenodo.org/record/5750195
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资源简介：
The synthetic climate data used in two papers to develop Controlled Abstention Netoworks. The data is approximately 720Mb, saved as a .mat file. The data is from Mamalakis et al. (2021) - with citation given below.
Mamalakis, Antonios, Imme Ebert-Uphoff and Elizabeth A. Barnes: Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset, submitted to Environmental Data Science, 11/2021, preprint available https://arxiv.org/abs/2103.10005.
The code that uses this data can be accessed here:
Elizabeth Barnes, & Randal J. Barnes. (2021). eabarnes1010/controlled_abstention_networks: (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.5750222
The publications associated with this data are posted on arxiv (but will soon be published in JAMES):
Barnes, Elizabeth A. and Randal J. Barnes: Controlled abstention neural networks for identifying skillful predictions for regression problems, accepted to JAMES 11/2021. Preprint available at https://arxiv.org/abs/2104.08236
Barnes, Elizabeth A. and Randal J. Barnes: Controlled abstention neural networks for identifying skillful predictions for classification problems, accepted to JAMES 11/2021. Preprint available at https://arxiv.org/abs/2104.08281
创建时间：
2021-12-03
