682 results on '"Camps-Valls, Gustau"'
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202. Identifying drivers of extreme reductions in carbon uptake of forests with interpretable machine learning
203. Machine learning to quantify cloud responses to aerosols from satellite data
204. Exploring cirrus cloud microphysical properties using explainable machine learning
205. ClimateBench: A benchmark for data-driven climate projections
206. A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation
207. ClimateBench: A benchmark dataset for data-driven climate projections
208. Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions
209. Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions
210. Unsupervised Anomaly and Change Detection With Multivariate Gaussianization
211. Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
212. Systematic Assessment of MODTRAN Emulators for Atmospheric Correction
213. Retrieval of Physical Parameters With Deep Structured Kernel Regression
214. ClimateBench: A benchmark dataset for data-driven climate projections
215. Crop Yield Estimation and Interpretability With Gaussian Processes
216. Gaussianizing the Earth: Multidimensional information measures for Earth data analysis
217. Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing
218. Introduction
219. Outlook
220. Learning Unsupervised Feature Representations of Remote Sensing Data with Sparse Convolutional Networks
221. Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data
222. Physics-Aware Machine Learning for Geosciences and Remote Sensing
223. Global Cropland Yield Monitoring with Gaussian Processes
224. Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm
225. Inference over radiative transfer models using variational and expectation maximization methods
226. Toward a Collective Agenda on AI for Earth Science Data Analysis
227. Gaussianization for Multivariate, High-dimensional Earth Observation data Analysis
228. The CIMR mission and its unique capabilities for soil moisture sensing
229. Spatio-Temporal Gaussianization Flows for Extreme Event Detection
230. Upscaling plant traits to ecosystem level: blending local biodiversity, global traits databases, and remote sensing data.
231. Generalization of Vegetation Indices for Monitoring the Terrestrial Biosphere
232. Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval
233. A unified vegetation index for quantifying the terrestrial biosphere
234. Correction: Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
235. Efficient Nonlinear RX Anomaly Detectors
236. Learning Relevant Features of Optical Water Types
237. Advances in machine learning for modelling and understanding in earth sciences
238. The Causality for Climate Challenge
239. Reducing Uncertainties in projected Gross Primary Production using Gradient Boosted Regression Trees
240. Explicit Granger causality in kernel Hilbert spaces
241. Constraining Uncertainty in Projected Gross Primary Production With Machine Learning
242. Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
243. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
244. Learning Relevant Features of Optical Water Types.
245. Chapter 2.13 - Statistical biophysical parameter retrieval and emulation with Gaussian processes
246. ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY
247. Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine
248. Discovering Differential Equations from Earth Observation Data
249. Manifold Learning with High Dimensional Model Representations
250. Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data
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