138 citations · 213 across the 16 of their papers we have counts for
5 papers · 1 filter
PLS-based approach for fair representation learning
Elena M. De-Diego, Adrián Perez-Suay, Paula Gordaliza +1
We revisit the problem of fair representation learning by proposing Fair Partial Least Squares (PLS) components. PLS is widely used in statistics to efficiently reduce the dimensio…
Causal Inference in Geosciences with Kernel Sensitivity Maps
Adrián Pérez-Suay, Gustau Camps-Valls
Establishing causal relations between random variables from observational data is perhaps the most important challenge in today's Science. In remote sensing and geosciences this is…
Nonlinear Distribution Regression for Remote Sensing Applications
Jose E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí +3
In many remote sensing applications one wants to estimate variables or parameters of interest from observations. When the target variable is available at a resolution that matches…
Randomized kernels for large scale Earth observation applications
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova +3
Dealing with land cover classification of the new image sources has also turned to be a complex problem requiring large amount of memory and processing time. In order to cope with…
Remote Sensing Image Classification with Large Scale Gaussian Processes
Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina +1
Current remote sensing image classification problems have to deal with an unprecedented amount of heterogeneous and complex data sources. Upcoming missions will soon provide large…