ACEMS researchers have produced a fast and highly accurate approach for filling data gaps in free satellite images due to clouds and classifying land cover.
How do you determine the boundaries within which some species is present? This research sets out to determine the geographic range of the Red Imported Fire Ant (RIFA) near Brisbane.
ACEMS researchers found a way to make Hamiltonian Monte Carlo (HMC) compatible with data subsampling without deteriorating the sampling efficiency of an algorithm.
Research published in Communications reveals a considerable chance for an ice-free Arctic Ocean at global warming limits stipulated in the Paris Agreement. Scientists from South Korea, Australia and the USA used results from climate models and a new statistical approach to calculate the likelihood for Arctic sea ice to disappear at different warming levels.
ACEMS investigator Dr Catherine Leigh has combined efforts with a team of collaborators in the UK and Australia to find out how repeated drought in streams affects biodiversity.
ACEMS researchers have now provided a mathematical treatment that sheds light on the variance reduction properties of the reparameterization trick. The work was presented at the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) in Okinawa, Japan in April 2019, and was subsequently published in the conference proceedings. AISTATS is considered a top conference in Machine Learning.
ACEMS researcher Dr Catherine Leigh and colleagues have found that learning about the environment positively influences attitudes towards the environment, and in important ways. Their findings were published in People and Nature.
ACEMS researchers have developed new methods to evaluate the risk of invasion between geopolitical regions (e.g., states, or countries), by assessing climate similarity between the regions, and the volume of transport that occurs between them.
Dengue fever is one of the most serious health issues in the Asia-Pacific region, affecting more than 100-million people every year. ACEMS Researchers carried out a systematic review of the different spatial and spatio-temporal models that are looked into the disease.
