1 citations · 1 across the 3 of their papers we have counts for
5 papers · 1 filter
SARGDV: Efficient identification of groundwater-dependent vegetation using synthetic aperture radar
Mason Terrett, Daniel Fryer, Tanya Doody +2
Groundwater depletion impacts the sustainability of numerous groundwater-dependent vegetation (GDV) globally, placing significant stress on their capacity to provide environmental…
-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences
Daniel Fryer, Hien Nguyen, Pascal Castellazzi
We state theoretical properties for -means clustering of Symmetric Positive Definite (SPD) matrices, in a non-Euclidean space, that provides a natural and favourable representat…
A binary-response regression model based on support vector machines
Hien D Nguyen, Daniel V Fryer
The soft-margin support vector machine (SVM) is a ubiquitous tool for prediction of binary-response data. However, the SVM is characterized entirely via a numerical optimization pr…
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies
Daniel Vidali Fryer, Inga Strümke, Hien Nguyen
Shapley values have become increasingly popular in the machine learning literature thanks to their attractive axiomatisation, flexibility, and uniqueness in satisfying certain noti…
Shapley value confidence intervals for attributing variance explained
Daniel Fryer, Inga Strumke, Hien Nguyen
The coefficient of determination, the , is often used to measure the variance explained by an affine combination of multiple explanatory covariates. An attribution of this exp…