5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Using Wavelet Domain Fingerprints to Improve Source Camera Identification
Xinle Tian, Matthew Nunes, Emiko Dupont +3
Camera fingerprint detection plays a crucial role in source identification and image forensics, with wavelet denoising approaches proving particularly effective for extracting sens…
stat.ME2023★ 5 cited
Demystifying Spatial Confounding
Emiko Dupont, Isa Marques, Thomas Kneib
Spatial confounding is a fundamental issue in spatial regression models which arises because spatial random effects, included to approximate unmeasured spatial variation, are typic…
stat.ME2020
Spatial+: a novel approach to spatial confounding
Emiko Dupont, Simon N. Wood, Nicole Augustin
In spatial regression models, collinearity between covariates and spatial effects can lead to significant bias in effect estimates. This problem, known as spatial confounding, is e…