48 results on '"Camps-Valls, Gustau"'
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2. Earth observation as a tool to assess climate migration and policy-making: Legal aspects.
3. Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data
4. Physics-Aware Machine Learning for Geosciences and Remote Sensing
5. Global Cropland Yield Monitoring with Gaussian Processes
6. Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm
7. ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY
8. Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine
9. Discovering Differential Equations from Earth Observation Data
10. Manifold Learning with High Dimensional Model Representations
11. Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems
12. Particle Group Metropolis Methods for Tracking the Leaf Area Index
13. Nonlinear Cook Distance for Anomalous Change Detection
14. Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture
15. Retrieval of Case 2 Water Quality Parameters with Machine Learning
16. Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models
17. Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites
18. Deep Gaussian Processes for Geophysical Parameter Retrieval
19. Multioutput Automatic Emulator for Radiative Transfer Models
20. Consistent Regression of Biophysical Parameters with Kernel Methods
21. Sparsity-Driven Digital Terrain Model Extraction
22. Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
23. Randomized RX for Target Detection
24. A Deep Network Approach to Multitemporal Cloud Detection
25. Distributed Particle Metropolis-Hastings Schemes
26. Passive millimeter wave image classification with large scale Gaussian processes
27. Group metropolis sampling
28. Recycling Gibbs sampling
29. Probabilistic cross-validation estimators for Gaussian process regression
30. Efficient remote sensing image classification with Gaussian processes and Fourier features
31. Cloud detection machine learning algorithms for PROBA-V
32. Nonlinear statistical retrieval of surface emissivity from IASI data
33. Spatial noise-aware temperature retrieval from infrared sounder data
34. Joint Gaussian processes for inverse modeling
35. Retrieval of coloured dissolved organic matter with machine learning methods
36. Convolutional neural networks for multispectral image cloud masking
37. Causal inference in geosciences with kernel sensitivity maps
38. Automatic emulator and optimized look-up table generation for radiative transfer models
39. Predicting year of plantation with hyperspectral and lidar data
40. Latent force models for earth observation time series prediction
41. Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction
42. Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination
43. Replacing radiative transfer models by surrogate approximations through machine learning
44. Ranking drivers of global carbon and energy fluxes over land
45. Weakly supervised alignment of multisensor images
46. Large-scale random features for kernel regression
47. Measuring the Spatial and Spectral Performance of WorldView-3
48. Unsupervised Alignment of Image Manifolds with Centrality Measures
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