97 results on '"Camps-Valls, Gustau"'
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2. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data.
3. Interpretable Long Short-Term Memory Networks for Crop Yield Estimation.
4. Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data
5. Physics-Aware Machine Learning for Geosciences and Remote Sensing
6. Global Cropland Yield Monitoring with Gaussian Processes
7. Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm
8. Graph Embedding via High Dimensional Model Representation for Hyperspectral Images.
9. Learning Relevant Features of Optical Water Types.
10. ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY
11. Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine
12. Discovering Differential Equations from Earth Observation Data
13. Manifold Learning with High Dimensional Model Representations
14. Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems
15. Particle Group Metropolis Methods for Tracking the Leaf Area Index
16. Crop Yield Estimation and Interpretability With Gaussian Processes.
17. Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing.
18. Efficient Nonlinear RX Anomaly Detectors.
19. Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data.
20. Accounting for Input Noise in Gaussian Process Parameter Retrieval.
21. Nonlinear Distribution Regression for Remote Sensing Applications.
22. Kernel Anomalous Change Detection for Remote Sensing Imagery.
23. Nonlinear Cook Distance for Anomalous Change Detection
24. Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture
25. Retrieval of Case 2 Water Quality Parameters with Machine Learning
26. Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models
27. Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites
28. Deep Gaussian Processes for Geophysical Parameter Retrieval
29. Multioutput Automatic Emulator for Radiative Transfer Models
30. Consistent Regression of Biophysical Parameters with Kernel Methods
31. Sparsity-Driven Digital Terrain Model Extraction
32. Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
33. Randomized RX for Target Detection
34. A Deep Network Approach to Multitemporal Cloud Detection
35. Distributed Particle Metropolis-Hastings Schemes
36. Passive millimeter wave image classification with large scale Gaussian processes
37. Group metropolis sampling
38. Recycling Gibbs sampling
39. Probabilistic cross-validation estimators for Gaussian process regression
40. Efficient remote sensing image classification with Gaussian processes and Fourier features
41. Cloud detection machine learning algorithms for PROBA-V
42. Nonlinear statistical retrieval of surface emissivity from IASI data
43. Spatial noise-aware temperature retrieval from infrared sounder data
44. Joint Gaussian processes for inverse modeling
45. Retrieval of coloured dissolved organic matter with machine learning methods
46. Convolutional neural networks for multispectral image cloud masking
47. Causal inference in geosciences with kernel sensitivity maps
48. Automatic emulator and optimized look-up table generation for radiative transfer models
49. Predicting year of plantation with hyperspectral and lidar data
50. Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data.
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