Alex J. Cannon

14 papers B 4Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales.
CoRR
Nicolaas J. Annau, Alex J. Cannon, Adam H. Monahan
2018 J jnl
ClimDown: Climate Downscaling in R.
J. Open Source Softw.
James Hiebert, Alex J. Cannon, Trevor Murdock, Stephen Sobie, Arelia Werner
2016 — conf
Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea.
ICONIP (3)
Lei Zhu, Jian Jin, Alex J. Cannon, William W. Hsieh
2015 J jnl
Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation.
Environ. Model. Softw.
Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
2013 J jnl
Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy.
Comput. Geosci.
Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
2012 J jnl
Corrigendum to "Quantile regression neural networks: Implementation in R and application to precipitation downscaling" [Comput. Geosci. 37(9) (2011) 1277-1284].
Comput. Geosci.
Alex J. Cannon
2012 B conf
Downscaling temperature and precipitation using support vector regression with evolutionary strategy.
IJCNN
Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
2012 J jnl
Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R.
Comput. Geosci.
Alex J. Cannon
2011 J jnl
GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network.
Comput. Geosci.
Alex J. Cannon
2011 J jnl
Quantile regression neural networks: Implementation in R and application to precipitation downscaling.
Comput. Geosci.
Alex J. Cannon
2008 B conf
A comparison of bayesian and conditional density models in probabilistic ozone forecasting.
IJCNN
Song Cai, William W. Hsieh, Alex J. Cannon
2007 J jnl
Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling.
Neural Networks
Alex J. Cannon
2006 B conf
A Hybrid Neural Network/Analog Model for Climate Downscaling.
IJCNN
Alex J. Cannon
2005 B conf
Nonlinear principal predictor analysis using neural networks.
IJCNN
Alex J. Cannon