569 results on '"Gustau Camps-Valls"'
Search Results
102. Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.
103. Interpolation and Gap Filling of Landsat Reflectance Time Series.
104. Randomized RX for Target Detection.
105. Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval.
106. Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites.
107. Nonlinear Cook Distance for Anomalous Change Detection.
108. Multioutput Automatic Emulator for Radiative Transfer Models.
109. Sparsity-Driven Digital Terrain Model Extraction.
110. Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes.
111. Kernel Anomalous Change Detection for Remote Sensing Imagery.
112. Causal Inference in Geoscience and Remote Sensing From Observational Data.
113. Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data.
114. Nonlinear Distribution Regression for Remote Sensing Applications.
115. Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models.
116. Deep learning and process understanding for data-driven Earth system science.
117. Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks
118. Semisupervised Manifold Alignment of Multimodal Remote Sensing Images.
119. Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion.
120. Deep Learning and Earth Observation to Support the Sustainable Development Goals.
121. Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods.
122. Deep Learning Methods for Daily Wildfire Danger Forecasting.
123. Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions.
124. Graph Embedding via High Dimensional Model Representation for Hyperspectral Images.
125. Towards a Collective Agenda on AI for Earth Science Data Analysis.
126. Automatic Emulation by Adaptive Relevance Vector Machines.
127. Physics-Aware Gaussian Processes for Earth Observation.
128. Probabilistic cross-validation estimators for Gaussian process regression.
129. Recycling Gibbs sampling.
130. Group metropolis sampling.
131. Fair Kernel Learning.
132. Passive millimeter wave image classification with large scale Gaussian processes.
133. Predicting year of plantation with hyperspectral and lidar data.
134. Nonlinear statistical retrieval of surface emissivity from IASI data.
135. Joint Gaussian processes for inverse modeling.
136. Cloud detection machine learning algorithms for PROBA-V.
137. Spatial noise-aware temperature retrieval from infrared sounder data.
138. Automatic emulator and optimized look-up table generation for radiative transfer models.
139. Causal inference in geosciences with kernel sensitivity maps.
140. Efficient remote sensing image classification with Gaussian processes and Fourier features.
141. Convolutional neural networks for multispectral image cloud masking.
142. Retrieval of coloured dissolved organic matter with machine learning methods.
143. Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval.
144. Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality.
145. Efficient Nonlinear RX Anomaly Detectors.
146. Causal Inference in Geoscience and Remote Sensing from Observational Data.
147. Information Theory Measures via Multidimensional Gaussianization.
148. Nonlinear Distribution Regression for Remote Sensing Applications.
149. Spatial noise-aware temperature retrieval from infrared sounder data.
150. Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.