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