223 results on '"Camps-Valls, Gustau"'
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2. Domain knowledge-driven variational recurrent networks for drought monitoring
3. Exploring interactions between socioeconomic context and natural hazards on human population displacement
4. Improving air quality assessment using physics-inspired deep graph learning
5. Explainable deep learning for automatic rock classification
6. Pairwise causal discovery with support measure machines
7. Inference over radiative transfer models using variational and expectation maximization methods
8. Role of locality, fidelity and symmetry regularization in learning explainable representations
9. Discovering causal relations and equations from data
10. Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness
11. Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning
12. A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
13. Inferring causal relations from observational long-term carbon and water fluxes records
14. Learning main drivers of crop progress and failure in Europe with interpretable machine learning
15. The Low Dimensionality of Development
16. Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science
17. Earth observation as a tool to assess climate migration and policy-making: Legal aspects
18. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
19. Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
20. Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data
21. Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
22. A global canopy water content product from AVHRR/Metop
23. Active emulation of computer codes with Gaussian processes – Application to remote sensing
24. Emergent vulnerability to climate-driven disturbances in European forests
25. Predicting regional coastal sea level changes with machine learning
26. Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes
27. Statistical retrieval of atmospheric profiles with deep convolutional neural networks
28. Synergistic integration of optical and microwave satellite data for crop yield estimation
29. A carbon sink-driven approach to estimate gross primary production from microwave satellite observations
30. Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
31. A methodology to derive global maps of leaf traits using remote sensing and climate data
32. Group Importance Sampling for particle filtering and MCMC
33. Sensitivity maps of the Hilbert–Schmidt independence criterion
34. Physics-aware Gaussian processes in remote sensing
35. Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
36. Assessing the relationship between microwave vegetation optical depth and gross primary production
37. The Recycling Gibbs sampler for efficient learning
38. Deep learning and process understanding for data-driven Earth system science
39. Understanding deep learning in land use classification based on Sentinel-2 time series
40. Randomized kernels for large scale Earth observation applications
41. Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
42. Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures.
43. Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
44. Spectral band selection for vegetation properties retrieval using Gaussian processes regression
45. Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
46. Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review
47. Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
48. Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data
49. The FLUXCOM ensemble of global land-atmosphere energy fluxes
50. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data.
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