Application of AI to the Climate System
Research in climate variations, climate impacts, climate diagnostics or climate change that uses approaches such as neural networks, random forests, support vectors, k-nearest neighbor algorithm, naïve Bayes classifiers, decision trees, mixture models, or other AI techniques.
11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences (AI)
Contact(s): Amy McGovern email@example.com Michael Richman firstname.lastname@example.org
25th Conference on Climate Variability and Change
Contact(s): Hai Lin Hai.Lin@ec.gc.ca