Lista de obras - Gustau Camps-Valls - Dominio Público Uruguay

A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System

artículo científico publicado en 2018

A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation

artículo científico publicado en 2016

A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

artículo científico publicado en 2019

A global canopy water content product from AVHRR/Metop

artículo científico publicado en 2020

A methodology to derive global maps of leaf traits using remote sensing and climate data

scientific article published in 2018

A perspective on Gaussian processes for Earth observation

A unified vegetation index for quantifying the terrestrial biosphere

ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

scholarly article

Assessing the relationship between microwave vegetation optical depth and gross primary production

Automatic Emulation by Adaptive Relevance Vector Machines

Automatic emulator and optimized look-up table generation for radiative transfer models

scholarly article published July 2017

Causal inference for time series

artículo científico publicado en 2023

Causal inference for time series

artículo científico publicado en 2023

ClimateBench v1.0: A benchmark for data‐driven climate projections

artículo científico publicado en 2022

Cluster-based active learning for compact image classification

Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu <i>et al.</i>

artículo científico publicado en 2022

Compensatory water effects link yearly global land CO2 sink changes to temperature

artículo científico publicado en 2017

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

artículo científico publicado en 2020

Deep learning and process understanding for data-driven Earth system science ⬇️

artículo científico publicado en 2019

Discovering Differential Equations from Earth Observation Data

Dosage individualization of erythropoietin using a profile-dependent support vector regression.

artículo científico publicado en 2003

Earth system data cubes unravel global multivariate dynamics

artículo científico publicado en 2020

Efficient regularized LDA for hyperspectral image classification

Emergent vulnerability to climate-driven disturbances in European forests

artículo científico publicado en 2021

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

scientific article published on 19 August 2016

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

artículo científico publicado en 2019

Foetal ECG recovery using dynamic neural networks.

artículo científico publicado en 2004

Global Estimation of Biophysical Variables from Google Earth Engine Platform

artículo científico publicado en 2018

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence.

artículo científico publicado en 2014

Global distribution of groundwater-vegetation spatial covariation

scholarly article by Sujan Koirala et al published 13 May 2017 in Geophysical Research Letters

Gross Primary Production and False Spring: a spatio-temporal analysis

artículo científico publicado en 2020

Group metropolis sampling

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

artículo científico publicado en 2017

Identifying compound weather prototypes of forest mortality with β-VAE

Inference over radiative transfer models using variational and expectation maximization methods

artículo científico publicado en 2021

Inferring causation from time series in Earth system sciences ⬇️

scientific article published on 14 June 2019

Introduction to the Issue on Advances in Remote Sensing Image Processing

Iterative Gaussianization: from ICA to random rotations. ⬇️

artículo científico publicado en 2011

Joint Gaussian Processes for Biophysical Parameter Retrieval

Joint Gaussian processes for inverse modeling

Kernel Manifold Alignment for Domain Adaptation ⬇️

artículo científico publicado en 2016

Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness

artículo científico publicado en 2022

Kernel methods and their derivatives: Concept and perspectives for the earth system sciences

scientific article published on 29 October 2020

Kernel methods for HyMap imagery knowledge discovery

Learning Relevant Image Features With Multiple-Kernel Classification

Learning the relevant image features with multiple kernels

Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation

scientific article published in 2023

Mean Kernels for Semi-Supervised Remote Sensing Image Classification

Multi-sensor change detection based on nonlinear canonical correlations

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

scientific article published on 01 September 2020

Multitask Remote Sensing Data Classification

Multitask SVM learning for remote sensing data classification

Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping

artículo científico publicado en 2011

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

artículo científico publicado en 2013

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

artículo científico publicado en 2015

Optimized Kernel Entropy Components

artículo científico publicado en 2016

Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

artículo científico publicado en 2020

Physics-Aware Gaussian Processes for Earth Observation

Physics-aware nonparametric regression models for Earth data analysis

Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

scholarly article by Gianluca Tramontana et al published 29 July 2016 in Biogeosciences

Predicting regional coastal sea level changes with machine learning

artículo científico publicado en 2021

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.

artículo científico publicado en 2003

Principal polynomial analysis. ⬇️

artículo científico publicado en 2014

Probabilistic cross-validation estimators for Gaussian process regression

Profiled support vector machines for antisense oligonucleotide efficacy prediction

artículo científico publicado en 2004

Publisher Correction: Causal inference for time series

artículo científico publicado en 2023

Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning

artículo científico publicado en 2022

Ranking drivers of global carbon and energy fluxes over land

article published in 2015

Recent advances in techniques for hyperspectral image processing

artículo científico publicado en 2009

Recycling Gibbs sampling

Reply to Magnani et al.: Linking large-scale chlorophyll fluorescence observations with cropland gross primary production

artículo científico publicado en 2014

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

artículo científico publicado en 2017

Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach

artículo científico publicado en 2020

Semisupervised nonlinear feature extraction for image classification

Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science

artículo científico publicado en 2021

Spatial noise-aware temperature retrieval from infrared sounder data

Structured Output SVM for Remote Sensing Image Classification

Summarizing the state of the terrestrial biosphere in few dimensions

scientific article published in 2020

Synergistic integration of optical and microwave satellite data for crop yield estimation

scientific article published on 01 December 2019

The FLUXCOM ensemble of global land-atmosphere energy fluxes

The Low Dimensionality of Development

scientific article published in 2020

The Recycling Gibbs sampler for efficient learning

scholarly article by Luca Martino et al published March 2018 in Digital Signal Processing

Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data

article

Understanding deep learning in land use classification based on Sentinel-2 time series

artículo científico publicado en 2020

Unsupervised Change Detection With Kernels

Unsupervised change detection by kernel clustering

Unsupervised change detection in the feature space using kernels

article published in 2011

Upport vector machines for nonlinear kernel ARMA system identification.

artículo científico publicado en 2006

Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference

artículo científico publicado en 2018

Lista de obras de Gustau Camps-Valls

A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System

A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation

A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

A global canopy water content product from AVHRR/Metop

A methodology to derive global maps of leaf traits using remote sensing and climate data

A perspective on Gaussian processes for Earth observation

A unified vegetation index for quantifying the terrestrial biosphere

ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

Assessing the relationship between microwave vegetation optical depth and gross primary production

Automatic Emulation by Adaptive Relevance Vector Machines

Automatic emulator and optimized look-up table generation for radiative transfer models

Causal inference for time series

Causal inference for time series

ClimateBench v1.0: A benchmark for data‐driven climate projections

Cluster-based active learning for compact image classification

Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu <i>et al.</i>

Compensatory water effects link yearly global land CO2 sink changes to temperature

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

Deep learning and process understanding for data-driven Earth system science ⬇️

Discovering Differential Equations from Earth Observation Data

Dosage individualization of erythropoietin using a profile-dependent support vector regression.

Earth system data cubes unravel global multivariate dynamics

Efficient regularized LDA for hyperspectral image classification

Emergent vulnerability to climate-driven disturbances in European forests

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

Foetal ECG recovery using dynamic neural networks.

Global Estimation of Biophysical Variables from Google Earth Engine Platform

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence.

Global distribution of groundwater-vegetation spatial covariation

Gross Primary Production and False Spring: a spatio-temporal analysis

Group metropolis sampling

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

Identifying compound weather prototypes of forest mortality with &#946;-VAE

Inference over radiative transfer models using variational and expectation maximization methods

Inferring causation from time series in Earth system sciences ⬇️

Introduction to the Issue on Advances in Remote Sensing Image Processing

Iterative Gaussianization: from ICA to random rotations. ⬇️

Joint Gaussian Processes for Biophysical Parameter Retrieval

Joint Gaussian processes for inverse modeling

Kernel Manifold Alignment for Domain Adaptation ⬇️

Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness

Kernel methods and their derivatives: Concept and perspectives for the earth system sciences

Kernel methods for HyMap imagery knowledge discovery

Learning Relevant Image Features With Multiple-Kernel Classification

Learning the relevant image features with multiple kernels

Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation

Mean Kernels for Semi-Supervised Remote Sensing Image Classification

Multi-sensor change detection based on nonlinear canonical correlations

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

Multitask Remote Sensing Data Classification

Multitask SVM learning for remote sensing data classification

Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

Optimized Kernel Entropy Components

Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

Physics-Aware Gaussian Processes for Earth Observation

Physics-aware nonparametric regression models for Earth data analysis

Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

Predicting regional coastal sea level changes with machine learning

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.

Principal polynomial analysis. ⬇️

Probabilistic cross-validation estimators for Gaussian process regression

Profiled support vector machines for antisense oligonucleotide efficacy prediction

Publisher Correction: Causal inference for time series

Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning

Ranking drivers of global carbon and energy fluxes over land

Recent advances in techniques for hyperspectral image processing

Recycling Gibbs sampling

Reply to Magnani et al.: Linking large-scale chlorophyll fluorescence observations with cropland gross primary production

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach

Semisupervised nonlinear feature extraction for image classification

Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science

Spatial noise-aware temperature retrieval from infrared sounder data

Structured Output SVM for Remote Sensing Image Classification

Identifying compound weather prototypes of forest mortality with β-VAE