Alex J. Cannon

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 4

Top Topics

Environmental Sciences

Support Vector Machine

Evolutionary Strategy

Nonlinear Regression

Top Venues

Comput. Geosci.

Environ. Model. Softw.

Publications

Nicolaas J. Annau, Alex J. Cannon, Adam H. Monahan
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales. CoRR (2023)
James Hiebert, Alex J. Cannon, Trevor Murdock, Stephen Sobie, Arelia Werner
ClimDown: Climate Downscaling in R. J. Open Source Softw. 3 (22) (2018)
Lei Zhu, Jian Jin, Alex J. Cannon, William W. Hsieh
Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea. ICONIP (3) (2016)
Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation. Environ. Model. Softw. 73 (2015)
Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy. Comput. Geosci. 50 (2013)
Alex J. Cannon
Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R. Comput. Geosci. 41 (2012)
Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
Downscaling temperature and precipitation using support vector regression with evolutionary strategy. IJCNN (2012)
Alex J. Cannon
Corrigendum to "Quantile regression neural networks: Implementation in R and application to precipitation downscaling" [Comput. Geosci. 37(9) (2011) 1277-1284]. Comput. Geosci. 46 (2012)
Alex J. Cannon
Quantile regression neural networks: Implementation in R and application to precipitation downscaling. Comput. Geosci. 37 (9) (2011)
Alex J. Cannon
GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network. Comput. Geosci. 37 (9) (2011)
Song Cai, William W. Hsieh, Alex J. Cannon
A comparison of bayesian and conditional density models in probabilistic ozone forecasting. IJCNN (2008)
Alex J. Cannon
Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling. Neural Networks 20 (4) (2007)
Alex J. Cannon
A Hybrid Neural Network/Analog Model for Climate Downscaling. IJCNN (2006)