Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems-Reference-Cited by-同舟云学术

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems

Published:2021-12 Issue:12 Volume:13 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Barnes Elizabeth A.¹^ORCID,Barnes Randal J.²^ORCID

Affiliation:

1. Department of Atmospheric Science Colorado State University Fort Collins CO USA

2. Civil, Environmental, and Geo‐Engineering University of Minnesota Minneapolis MN USA

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021MS002575

Reference38 articles.

1. A Priori Identification of Skillful Extratropical Subseasonal Forecasts

2. Controlled abstention neural networks for identifying skillful predictions for classification problems;Barnes E. A.;arXiv:2104.08281,2021

3. Barnes E. A. &Barnes R. J.(2021b).Eabarnes1010/controlled_abstention_networks: (v1.0.1). Zenodo.https://doi.org/10.5281/zenodo.5750222

4. Adding Uncertainty to Neural Network Regression Tasks in the Geosciences;Barnes E. A.;arXiv:2109.07250,2021

5. Barnes E. Barnes R. &Mamalakis A.(2021).Synthetic climate data used for Controlled Abstention Network (CAN) development (v1.0.0) [Dataset]. Zenodo.https://doi.org/10.5281/zenodo.5750196

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Network Modeling of the Motivation of Top Management of Regional Management Structures as a Regression Problem;Advanced Series in Management;2024-07-01

2. A data-driven method for modelling dissipation rates in stratified turbulence;Journal of Fluid Mechanics;2023-12-19

3. Neural network modeling of motivation of key executives of regional government institutions as a regression problem;Finance and Credit;2023-09-28

4. Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18

5. Sinh-arcsinh-normal distributions to add uncertainty to neural network regression tasks: Applications to tropical cyclone intensity forecasts;Environmental Data Science;2023