247 citations · 631 across the 20 of their papers we have counts for
4 papers · 1 filter
Causal machine learning for sustainable agroecosystems
Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà Bautista +8
In a changing climate, sustainable agriculture is essential for food security and environmental health. However, it is challenging to understand the complex interactions among its…
Let's consider more general nonlinear approaches to study teleconnections of climate variables
D. Bueso, M. Piles, G. Camps-Valls
The recent work by (Rieger et al 2021) is concerned with the problem of extracting features from spatio-temporal geophysical signals. The authors introduce the complex rotated MCA…
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…
Living in the Physics and Machine Learning Interplay for Earth Observation
Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés +7
Most problems in Earth sciences aim to do inferences about the system, where accurate predictions are just a tiny part of the whole problem. Inferences mean understanding variables…