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Proceedings of the 6th International Workshop on Climate Informatics: CI 2016
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
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regClimateChem: An R Package for Data Driven Variable Selection Applied to At...
Carbon monoxide (CO) is a major pollutant, impacting air quality and contributing to the greenhouse effect. Buchholz et al. [1] used a multiple linear regression model to link...- publication PDF
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Quantifying the Spatial Structure of Tropical Cyclone Imagery
Tropical cyclones are highly organized, rotating storms which rank among the most costly natural disasters in the United States. The processes which drive intensification and...- publication PDF
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Proceedings of the 7th International Workshop on Climate Informatics: CI 2017
It has been the seventh International Workshop on Climate Informatics and we believe it had much success in accelerating discovery at the intersection of these disciplines. For...- publication PDF
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Proceedings of the 9th International Workshop on Climate Informatics: CI 2019
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
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Optimizing Genetic Algorithm Parameters for Atmospheric Carbon Monoxide Modeling
A main source of atmospheric carbon monoxide (CO) variability in the Southern Hemisphere is large burn events, making CO a useful proxy for fires. Therefore, predictive CO...- publication PDF
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Proceedings of the 8th International Workshop on Climate Informatics: CI 2018
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
