66 citations · 66 across the 2 of their papers we have counts for
2 papers
stat.ML2022
Estimating Classification Confidence Using Kernel Densities
Peter Salamon, David Salamon, V. Adrian Cantu +4
This paper investigates the post-hoc calibration of confidence for "exploratory" machine learning classification problems. The difficulty in these problems stems from the continuin…
physics.geo-ph2017★ 66 cited
Machine learning for graph-based representations of three-dimensional discrete fracture networks
Manuel Valera, Zhengyang Guo, Priscilla Kelly +6
Structural and topological information play a key role in modeling flow and transport through fractured rock in the subsurface. Discrete fracture network (DFN) computational suites…