Camps-Valls, Gustavo, 1972-
Camps-Valls, Gustavo
![Sudoc [ABES], France](/viaf/images/flags/SUDOC.png "Sudoc [ABES], France")
Gustau Camps-Valls investigador, catedràtic
VIAF ID: 75745882 (Personal)
Permalink: http://viaf.org/viaf/75745882
Preferred Forms
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100 1 0
‡a
Camps Valls, Gustavo
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100 1 _ ‡a Camps Valls, Gustavo
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100 1 _ ‡a Camps Valls, Gustavo, ‡d 1972-
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100 1 _ ‡a Camps-Valls, Gustavo
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100 1 _
‡a
Camps-Valls, Gustavo
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100 1 _
‡a
Camps-Valls, Gustavo
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100 1 _ ‡a Camps-Valls, Gustavo ‡d (1972- ).
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100 1 _
‡a
Camps-Valls, Gustavo
‡d
1972-
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100 1 _ ‡a Camps-Valls, Gustavo, ‡d 1972-
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100 1 _
‡a
Camps-Valls, Gustavo,
‡d
1972-
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100 1 _ ‡a Camps-Valls, Gustavo, ‡d 1972-
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100 0 _
‡a
Gustau Camps-Valls
‡c
investigador, catedràtic
4xx's: Alternate Name Forms (19)
5xx's: Related Names (2)
Works
| Title | Sources |
|---|---|
| Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods |
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| ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY |
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| Análisis de circuitos |
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| Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins |
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| Assessing the relationship between microwave vegetation optical depth and gross primary production |
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| Automatic Emulation by Adaptive Relevance Vector Machines |
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| Automatic emulator and optimized look-up table generation for radiative transfer models |
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| A carbon sink-driven approach to estimate gross primary production from microwave satellite observations |
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| ClimateBench v1.0: A benchmark for data‐driven climate projections |
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| Cluster-based active learning for compact image classification |
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| Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu <i>et al.</i> |
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| Compensatory water effects link yearly global land CO2 sink changes to temperature |
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| Deep learning and process understanding for data-driven Earth system science |
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| Deep learning for the eart sciences : a comprehensive approach to remote sensing, climate science, and geosciences |
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| Discovering Differential Equations from Earth Observation Data |
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| Dosage individualization of erythropoietin using a profile-dependent support vector regression. |
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| Earth system data cubes unravel global multivariate dynamics |
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| Efficient regularized LDA for hyperspectral image classification |
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| Emergent vulnerability to climate-driven disturbances in European forests |
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| Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis |
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| An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning |
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| Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations |
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| The FLUXCOM ensemble of global land-atmosphere energy fluxes |
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| Foetal ECG recovery using dynamic neural networks. |
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| Fundamentos de electrónica analógica |
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| Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. |
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| A global canopy water content product from AVHRR/Metop |
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| Global distribution of groundwater-vegetation spatial covariation |
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| Global Estimation of Biophysical Variables from Google Earth Engine Platform |
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| Group metropolis sampling |
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| Hyperspectral dimensionality reduction for biophysical variable statistical retrieval |
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| Identifying compound weather prototypes of forest mortality with β-VAE |
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| Inference over radiative transfer models using variational and expectation maximization methods |
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| Inferring causation from time series in Earth system sciences |
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| Iterative Gaussianization: from ICA to random rotations. |
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| Joint Gaussian processes for inverse modeling |
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| Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness |
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| Kernel Manifold Alignment for Domain Adaptation |
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| Kernel methods and their derivatives: Concept and perspectives for the earth system sciences |
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| Kernel methods for HyMap imagery knowledge discovery |
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| Kernel methods for remote sensing data analysis |
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| Kernel methods in bioengineering, signal and image processing |
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| Learning the relevant image features with multiple kernels |
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| The Low Dimensionality of Development |
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| Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation |
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| A methodology to derive global maps of leaf traits using remote sensing and climate data |
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| Multi-modal and multi-scale temporal metric learning for robust nearest neighbors classification. |
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| Multi-sensor change detection based on nonlinear canonical correlations |
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| Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud |
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| Multitask SVM learning for remote sensing data classification |
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| Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring |
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| Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping |
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| Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review |
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| Optimized Kernel Entropy Components |
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| Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks |
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| Physics-Aware Gaussian Processes for Earth Observation |
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| Physics-aware nonparametric regression models for Earth data analysis |
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| Predicting regional coastal sea level changes with machine learning |
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| Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. |
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| Principal polynomial analysis. |
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| Probabilistic cross-validation estimators for Gaussian process regression |
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| Profiled support vector machines for antisense oligonucleotide efficacy prediction |
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| Publisher Correction: Causal inference for time series |
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| Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning |
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| Ranking drivers of global carbon and energy fluxes over land |
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| Recent advances in techniques for hyperspectral image processing |
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| The Recycling Gibbs sampler for efficient learning |
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| Remote sensing image processing |
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| Reply to Magnani et al.: Linking large-scale chlorophyll fluorescence observations with cropland gross primary production |
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| Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach |
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| SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra |
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| Semisupervised nonlinear feature extraction for image classification |
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| Síntesis de redes : impedancias y filtros |
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| Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science |
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| Spatial noise-aware temperature retrieval from infrared sounder data |
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| Summarizing the state of the terrestrial biosphere in few dimensions |
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| Synergistic integration of optical and microwave satellite data for crop yield estimation |
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| Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data |
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| Understanding deep learning in land use classification based on Sentinel-2 time series |
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| A unified vegetation index for quantifying the terrestrial biosphere |
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| Unsupervised change detection in the feature space using kernels |
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| Upport vector machines for nonlinear kernel ARMA system identification. |
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