Alex J. Cannon

Orcid: 0000-0002-8025-3790

According to our database1, Alex J. Cannon authored at least 13 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales.
CoRR, 2023

2018
ClimDown: Climate Downscaling in R.
J. Open Source Softw., 2018

2016
Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation.
Environ. Model. Softw., 2015

2013
Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy.
Comput. Geosci., 2013

2012
Corrigendum to "Quantile regression neural networks: Implementation in R and application to precipitation downscaling" [Comput. Geosci. 37(9) (2011) 1277-1284].
Comput. Geosci., 2012

Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R.
Comput. Geosci., 2012

Downscaling temperature and precipitation using support vector regression with evolutionary strategy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network.
Comput. Geosci., 2011

Quantile regression neural networks: Implementation in R and application to precipitation downscaling.
Comput. Geosci., 2011

2008
A comparison of bayesian and conditional density models in probabilistic ozone forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling.
Neural Networks, 2007

2006
A Hybrid Neural Network/Analog Model for Climate Downscaling.
Proceedings of the International Joint Conference on Neural Networks, 2006


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