Lista de obras -

A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning

artículo científico publicado en 2022

AI profiles

artículo científico publicado en 2017

Challenges and Benchmark Datasets for Machine Learning in the Atmospheric Sciences: Definition, Status, and Outlook

artículo científico publicado en 2022

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

artículo científico publicado en 2013

Evaluation of statistical learning configurations for gridded solar irradiance forecasting

artículo científico publicado en 2017

Machine learning in space: extending our reach

scholarly article by Amy McGovern & Kiri L. Wagstaff published 30 April 2011 in Machine Learning

NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)

artículo científico publicado en 2022

Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts ⬇️

scholarly article by Amy McGovern & J. Eliot B. Moss published 1999 in Advances in Neural Information Processing Systems 11

Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems

artículo científico publicado en 2015

Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining Approach

artículo científico publicado en 2012

Using spatiotemporal relational random forests to improve our understanding of severe weather processes

artículo científico publicado en 2011

Welcome to AI Matters, volume 2, issue 2

artículo científico publicado en 2016

Welcome to AI Matters, volume 2, issue 3

artículo científico publicado en 2016

Welcome to AI matters 4(1)

artículo científico publicado en 2018

Welcome to AI matters 4(2)

artículo científico publicado en 2018

Welcome to AI matters 4(3)

artículo científico publicado en 2018

Welcome to AI matters 4(4)

artículo científico publicado en 2019

Welcome to AI matters 5(3)

artículo científico publicado en 2019

Welcome to AI matters, volume 3, issue 4

artículo científico publicado en 2018

Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science

artículo científico publicado en 2022

Lista de obras de

A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning

AI profiles

Challenges and Benchmark Datasets for Machine Learning in the Atmospheric Sciences: Definition, Status, and Outlook

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

Evaluation of statistical learning configurations for gridded solar irradiance forecasting

Machine learning in space: extending our reach

NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)

Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts ⬇️

Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems

Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining Approach

Using spatiotemporal relational random forests to improve our understanding of severe weather processes

Welcome to AI Matters, volume 2, issue 2

Welcome to AI Matters, volume 2, issue 3

Welcome to AI matters 4(1)

Welcome to AI matters 4(2)

Welcome to AI matters 4(3)

Welcome to AI matters 4(4)

Welcome to AI matters 5(3)

Welcome to AI matters, volume 3, issue 4

Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science