Neural Networks Ensemble for Cyclosporine Concentration Monitoring. - Gustavo Camps-Valls; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez (ICANN, 2001)

Some Examples for Solving Clinical Problems Using Neural Networks. - Antonio J. Serrano-López; Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; N. Víctor Jiménez (IWANN (2), 2001)

Multi-dimensional Function Approximation and Regression Estimation. - Fernando Pérez-Cruz; Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICANN, 2002)

Support Vector Machines for Crop Classification Using Hyperspectral Data. - Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla; Emilio Soria-Olivas; José David Martín-Guerrero; José F. Moreno (IbPRIA, 2003)

CART-based feature selection of hyperspectral images for crop cover classification. - Luis Gómez-Chova; Javier Calpe-Maravilla; Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; José F. Moreno (ICIP (3), 2003)

Feature selection of hyperspectral data through local correlation and SFFS for crop classification. - Luis Gómez-Chova; Javier Calpe; Gustau Camps-Valls; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; Luis Alonso-Chorda; José Moreno 001 (IGARSS, 2003)

Semi-supervised classification method for hyperspectral remote sensing images. - Luis Gómez-Chova; Javier Calpe; Gustau Camps-Valls; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; Luis Alonso-Chorda; José Moreno 001 (IGARSS, 2003)

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure. - José David Martín-Guerrero; Emilio Soria-Olivas; Gustavo Camps-Valls; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (Comput. Biol. Medicine, 2003)

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. - Gustavo Camps-Valls; Begoña Porta-Oltra; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (IEEE Trans. Biomed. Eng., 2003)

Dosage individualization of erythropoietin using a profile-dependent support vector regression. - José David Martín-Guerrero; Gustavo Camps-Valls; Emilio Soria-Olivas; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (IEEE Trans. Biomed. Eng., 2003)

A low-complexity fuzzy activation function for artificial neural networks. - Emilio Soria-Olivas; José David Martín-Guerrero; Gustavo Camps-Valls; Antonio J. Serrano-López; Javier Calpe-Maravilla; Luis Gómez-Chova (IEEE Trans. Neural Networks, 2003)

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. - José David Martín-Guerrero; Emili Balaguer-Ballester; Gustavo Camps-Valls; Alberto Palomares; Antonio J. Serrano-López; Juan Gómez-Sanchís; Emilio Soria-Olivas (AH, 2004)

Regularized RBF Networks for Hyperspectral Data Classification. - Gustavo Camps-Valls; Antonio J. Serrano-López; Luis Gómez-Chova; José David Martín-Guerrero; Javier Calpe-Maravilla; José F. Moreno (ICIAR (2), 2004)

Foetal ECG recovery using dynamic neural networks. - Gustavo Camps-Valls; Marcelino Martínez-Sober; Emilio Soria-Olivas; José Rafael Magdalena Benedicto; Javier Calpe-Maravilla; Juan Guerrero-Martínez (Artif. Intell. Medicine, 2004)

Profiled support vector machines for antisense oligonucleotide efficacy prediction. - Gustavo Camps-Valls; Alistair M. Chalk; Antonio J. Serrano-López; José David Martín-Guerrero; Erik L. L. Sonnhammer (BMC Bioinform., 2004)

Robust gamma-filter using support vector machines. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez; Emilio Soria-Olivas (Neurocomputing, 2004)

Fuzzy sigmoid kernel for support vector classifiers. - Gustavo Camps-Valls; José David Martín-Guerrero; José Luis Rojo-Álvarez; Emilio Soria-Olivas (Neurocomputing, 2004)

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. - Emilio Soria-Olivas; Javier Calpe-Maravilla; Jonathon A. Chambers; Marcelino Martínez-Sober; Gustavo Camps-Valls; José David Martín-Guerrero (IEEE Trans. Educ., 2004)

Robust support vector method for hyperspectral data classification and knowledge discovery. - Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla; José David Martín-Guerrero; Emilio Soria-Olivas; Luis Alonso-Chorda; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2004)

Enhancing genetic feature selection through restricted search and Walsh analysis. - Sancho Salcedo-Sanz; Gustavo Camps-Valls; Fernando Pérez-Cruz; José Sepúlveda-Sanchis; Carlos Bousoño-Calzón (IEEE Trans. Syst. Man Cybern. Part C, 2004)

Support vector machines framework for linear signal processing. - José Luis Rojo-Álvarez; Gustavo Camps-Valls; Manel Martínez-Ramón; Emilio Soria-Olivas; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Signal Process., 2005)

Kernel-based methods for hyperspectral image classification. - Gustavo Camps-Valls; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2005)

Perceptual adaptive insensitivity for support vector machine image coding. - Gabriel Gómez-Pérez; Gustavo Camps-Valls; Jaime Gutierrez 004; Jesús Malo (IEEE Trans. Neural Networks, 2005)

Bootstrap feature selection in support vector machines for ventricular fibrillation detection. - Felipe Alonso Atienza; José Luis Rojo-Álvarez; Gustavo Camps-Valls; Alfredo Rosado Muñoz; Arcadi García-Alberola (ESANN, 2006)

Advanced Processing of Hyperspectral Images. - Antonio J. Plaza; Jón Atli Benediktsson; Joseph W. Boardman; Jason Brazile; Lorenzo Bruzzone; Gustavo Camps-Valls; Jocelyn Chanussot; Mathieu Fauvel; Paolo Gamba; J. Anthony Gualtieri; James C. Tilton; Giovanna Trianni (IGARSS, 2006)

Enhancing decision-based neural networks through local competition. - Gustavo Camps-Valls; Luis Gómez-Chova; Joan Vila-Francés; José David Martín-Guerrero; Antonio J. Serrano-López; Emilio Soria-Olivas (Neurocomputing, 2006)

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. - Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Javier Calpe-Maravilla; Joan Vila-Francés; Gustavo Camps-Valls (Neurocomputing, 2006)

Robust support vector regression for biophysical variable estimation from remotely sensed images. - Gustavo Camps-Valls; Lorenzo Bruzzone; José Luis Rojo-Álvarez; Farid Melgani (IEEE Geosci. Remote. Sens. Lett., 2006)

Composite kernels for hyperspectral image classification. - Gustavo Camps-Valls; Luis Gómez-Chova; Jordi Muñoz-Marí; Joan Vila-Francés; Javier Calpe-Maravilla (IEEE Geosci. Remote. Sens. Lett., 2006)

Urban monitoring using multi-temporal SAR and multi-spectral data. - Luis Gómez-Chova; Diego Fernández-Prieto; Javier Calpe-Maravilla; Emilio Soria-Olivas; Joan Vila-Francés; Gustavo Camps-Valls (Pattern Recognit. Lett., 2006)

Non-linear RLS-based algorithm for pattern classification. - Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; Javier Calpe-Maravilla; Joan Vila-Francés; Antonio J. Serrano-López (Signal Process., 2006)

Support Vector Machines for Nonlinear Kernel ARMA System Identification. - Manel Martínez-Ramón; José Luis Rojo-Álvarez; Gustavo Camps-Valls; Jordi Muñoz-Marí; Ángel Navia-Vázquez; Emilio Soria-Olivas; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2006)

Hyperspectral image classification with mahalanobis relevance vector machines. - Gustavo Camps-Valls; Antonio Rodrigo-González; Jordi Muñoz-Marí; Luis Gómez-Chova; Javier Calpe-Maravilla (IGARSS, 2007)

Semi-supervised cloud screening with Laplacian SVM. - Luis Gómez-Chova; Gustavo Camps-Valls; Jordi Muñoz-Marí; Javier Calpe-Maravilla (IGARSS, 2007)

Feature extraction from remote sensing data using Kernel Orthonormalized PLS. - Jerónimo Arenas-García; Gustavo Camps-Valls (IGARSS, 2007)

Combination of one-class remote sensing image classifiers. - Jordi Muñoz-Marí; Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla (IGARSS, 2007)

Statistical criteria for early-stopping of support vector machines. - Tatyana V. Bandos; Gustavo Camps-Valls; Emilio Soria-Olivas (Neurocomputing, 2007)

Nonlinear System Identification With Composite Relevance Vector Machines. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez; Jordi Muñoz-Marí (IEEE Signal Process. Lett., 2007)

Semi-Supervised Graph-Based Hyperspectral Image Classification. - Gustavo Camps-Valls; Tatyana V. Bandos Marsheva; Dengyong Zhou (IEEE Trans. Geosci. Remote. Sens., 2007)

Cloud-Screening Algorithm for ENVISAT/MERIS Multispectral Images. - Luis Gómez-Chova; Gustavo Camps-Valls; Javier Calpe-Maravilla; Luis Guanter; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2007)

A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images. - Jordi Muñoz-Marí; Lorenzo Bruzzone; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2007)

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. - Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; N. Víctor Jiménez (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Nonuniform Interpolation of Noisy Signals Using Support Vector Machines. - José Luis Rojo-Álvarez; Carlos Figuera-Pozuelo; C. E. Martinez-Cruz; Gustavo Camps-Valls; Felipe Alonso Atienza; Manel Martínez-Ramón (IEEE Trans. Signal Process., 2007)

Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins. - Juan Gómez-Sanchís; Gustavo Camps-Valls; Enrique Moltó; Luis Gómez-Chova; Nuria Aleixos; José Blasco (ICIAR, 2008)

Recovering wavelet relations using SVM for image denoising. - Valero Laparra; Jaime Gutierrez 004; Gustavo Camps-Valls; Jesus Malo (ICIP, 2008)

Semi-Supervised Support Vector Biophysical Parameter Estimation. - Gustavo Camps-Valls; Jordi Muñoz-Marí; Luis Gómez-Chova; Javier Calpe-Maravilla (IGARSS (3), 2008)

Semi-Supervised Kernel Orthogonal Subspace Projection. - Luca Capobianco; Andrea Garzelli; Gustavo Camps-Valls (IGARSS (4), 2008)

Semi-Supervised Remote Sensing Image Classification based on Clustering and the Mean Map Kernel. - Luis Gómez-Chova; Lorenzo Bruzzone; Gustavo Camps-Valls; Javier Calpe-Maravilla (IGARSS (4), 2008)

Sparse Deconvolution Using Support Vector Machines. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Jordi Muñoz-Marí; Gustavo Camps-Valls; Carlos M. Cruz; Aníbal R. Figueiras-Vidal (EURASIP J. Adv. Signal Process., 2008)

On the Suitable Domain for SVM Training in Image Coding. - Gustavo Camps-Valls; Jaime Gutierrez 004; Gabriel Gómez-Pérez; Jesus Malo (J. Mach. Learn. Res., 2008)

Semisupervised Image Classification With Laplacian Support Vector Machines. - Luis Gómez-Chova; Gustavo Camps-Valls; Jordi Muñoz-Marí; Javier Calpe (IEEE Geosci. Remote. Sens. Lett., 2008)

Efficient Kernel Orthonormalized PLS for Remote Sensing Applications. - Jerónimo Arenas-García; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2008)

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. - Gustavo Camps-Valls; Luis Gómez-Chova; Jordi Muñoz-Marí; José Luis Rojo-Álvarez; Manel Martínez-Ramón (IEEE Trans. Geosci. Remote. Sens., 2008)

Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks. - Gustavo Camps-Valls; Antonio Rodrigo-González (Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, 2008)

PCA Gaussianization for image processing. - Valero Laparra; Gustavo Camps-Valls; Jesús Malo (ICIP, 2009)

Recent advances in remote sensing image processing. - Devis Tuia; Gustavo Camps-Valls (ICIP, 2009)

Biophysical Parameter Estimation with Adaptive Gaussian Processes. - Gustavo Camps-Valls; Luis Gómez-Chova; Jordi Muñoz-Marí; Joan Vila-Francés; Julia Amorós-López; Javier Calpe-Maravilla (IGARSS (4), 2009)

Cloud Screening with Combined MERIS and AATSR Images. - Luis Gómez-Chova; Jordi Muñoz-Marí; Emma Izquierdo-Verdiguier; Gustavo Camps-Valls; Javier Calpe-Maravilla; José F. Moreno (IGARSS (4), 2009)

Learning the Relevant Image Features with Multiple Kernels. - Devis Tuia; Giona Matasci; Gustavo Camps-Valls; Mikhail F. Kanevski (IGARSS (2), 2009)

Semi-supervised Kernel Target Detection in Hyperspectral Images. - Luca Capobianco; Andrea Garzelli; Gustavo Camps-Valls (ISDA, 2009)

Learning non-linear time-scales with kernel gamma-filters. - Gustavo Camps-Valls; Jordi Muñoz-Marí; Manel Martínez-Ramón; Jesús Requena-Carrión; José Luis Rojo-Álvarez (Neurocomputing, 2009)

Biophysical Parameter Estimation With a Semisupervised Support Vector Machine. - Gustavo Camps-Valls; Jordi Muñoz-Marí; Luis Gómez-Chova; Katja Richter; Javier Calpe-Maravilla (IEEE Geosci. Remote. Sens. Lett., 2009)

A Composite Semisupervised SVM for Classification of Hyperspectral Images. - Mattia Marconcini; Gustavo Camps-Valls; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2009)

Semisupervised Remote Sensing Image Classification With Cluster Kernels. - Devis Tuia; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2009)

Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis. - Tatyana V. Bandos; Lorenzo Bruzzone; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2009)

Target Detection With Semisupervised Kernel Orthogonal Subspace Projection. - Luca Capobianco; Andrea Garzelli; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2009)

Bioinformatics and Computational Biology. - Gustavo Camps-Valls; Alistair Morgan Chalk (Encyclopedia of Data Warehousing and Mining, 2009)

Applications of Kernel Methods. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez (Encyclopedia of Data Warehousing and Mining, 2009)

An Introduction to Kernel Methods. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez (Encyclopedia of Data Warehousing and Mining, 2009)

Hybrid Genetic Algorithms in Data Mining Applications. - Sancho Salcedo-Sanz; Gustavo Camps-Valls; Carlos Bousoño-Calzón (Encyclopedia of Data Warehousing and Mining, 2009)

Parallel Implementations of SVM for Earth Observation. - Jordi Muñoz-Marí; Antonio J. Plaza; J. Anthony Gualtieri; Gustavo Camps-Valls (Parallel Programming, Models and Applications in Grid and P2P Systems, 2009)

Multi-resolution spatial unmixing for MERIS and Landsat image fusion. - Julia Amorós-López; Luis Gómez-Chova; Luis Guanter; Luis Alonso 002; José F. Moreno; Gustavo Camps-Valls (IGARSS, 2010)

Estimating biophysical variable dependences with kernels. - Gustavo Camps-Valls; Devis Tuia; Valero Laparra; Jesús Malo (IGARSS, 2010)

Cluster-based active learning for compact image classification. - Devis Tuia; Mikhail F. Kanevski; Jordi Muñoz-Marí; Gustavo Camps-Valls (IGARSS, 2010)

Image Denoising with Kernels Based on Natural Image Relations. - Valero Laparra; Jaime Gutierrez 004; Gustavo Camps-Valls; Jesús Malo (J. Mach. Learn. Res., 2010)

Remote Sensing Feature Selection by Kernel Dependence Measures. - Gustavo Camps-Valls; Joris M. Mooij; Bernhard Schölkopf (IEEE Geosci. Remote. Sens. Lett., 2010)

Spatio-Spectral Remote Sensing Image Classification With Graph Kernels. - Gustavo Camps-Valls; Nino Shervashidze; Karsten M. Borgwardt (IEEE Geosci. Remote. Sens. Lett., 2010)

Multisource Composite Kernels for Urban-Image Classification. - Devis Tuia; Frédéric Ratle; Alexei Pozdnoukhov; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2010)

A support vector domain method for change detection in multitemporal images. - Francesca Bovolo; Gustavo Camps-Valls; Lorenzo Bruzzone (Pattern Recognit. Lett., 2010)

Mean Map Kernel Methods for Semisupervised Cloud Classification. - Luis Gómez-Chova; Gustavo Camps-Valls; Lorenzo Bruzzone; Javier Calpe-Maravilla (IEEE Trans. Geosci. Remote. Sens., 2010)

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data. - Jordi Muñoz-Marí; Francesca Bovolo; Luis Gómez-Chova; Lorenzo Bruzzone; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2010)

Semisupervised Neural Networks for Efficient Hyperspectral Image Classification. - Frédéric Ratle; Gustavo Camps-Valls; Jason Weston (IEEE Trans. Geosci. Remote. Sens., 2010)

Learning Relevant Image Features With Multiple-Kernel Classification. - Devis Tuia; Gustavo Camps-Valls; Giona Matasci; Mikhail F. Kanevski (IEEE Trans. Geosci. Remote. Sens., 2010)

Explicit recursivity into reproducing kernel Hilbert spaces. - Devis Tuia; Gustavo Camps-Valls; Manel Martínez-Ramón (ICASSP, 2011)

Kernel-based retrieval of atmospheric profiles from IASI data. - Gustavo Camps-Valls; Valero Laparra; Jordi Muñoz-Marí; Luis Gómez-Chova; Xavier Calbet (IGARSS, 2011)

Kernel entropy component analysis in remote sensing data clustering. - Luis Gómez-Chova; Robert Jenssen; Gustavo Camps-Valls (IGARSS, 2011)

Explicit signal to noise ratio in reproducing kernel Hilbert spaces. - Luis Gómez-Chova; Allan Aasbjerg Nielsen; Gustavo Camps-Valls (IGARSS, 2011)

Principal polynomial analysis for remote sensing data processing. - Valero Laparra; Devis Tuia; Sandra Jiménez; Gustavo Camps-Valls; Jesus Malo (IGARSS, 2011)

Kernel image similarity criterion. - Vicent Talens; José F. Moreno; Gustavo Camps-Valls (IGARSS, 2011)

Large scale semi-supervised image segmentation with active queries. - Devis Tuia; Jordi Muñoz-Marí; Gustavo Camps-Valls (IGARSS, 2011)

Unsupervised change detection in the feature space using kernels. - Michele Volpi; Devis Tuia; Gustavo Camps-Valls; Mikhail F. Kanevski (IGARSS, 2011)

Introduction to the Issue on Advances in Remote Sensing Image Processing. - Gustavo Camps-Valls; Jón Atli Benediktsson; Lorenzo Bruzzone; Jocelyn Chanussot (IEEE J. Sel. Top. Signal Process., 2011)

Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion. - Julia Amorós-López; Luis Gómez-Chova; Luis Alonso-Chorda; Luis Guanter; José F. Moreno; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2011)

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing. - Fernando García-Vílchez; Jordi Muñoz-Marí; Maciel Zortea; Ian Blanes; Vicente González Ruiz; Gustavo Camps-Valls; Antonio Plaza; Joan Serra-Sagristà (IEEE Geosci. Remote. Sens. Lett., 2011)

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation. - Devis Tuia; Jochem Verrelst; Luis Alonso-Chorda; Fernando Pérez-Cruz; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2011)

Urban Image Classification With Semisupervised Multiscale Cluster Kernels. - Devis Tuia; Gustavo Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011)

Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study. - Luis Gómez-Chova; Raúl Zurita-Milla; Luis Alonso 002; Julia Amorós-López; Luis Guanter; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2011)

Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping. - Raúl Zurita-Milla; Luis Gómez-Chova; Luis Guanter; Jan G. P. W. Clevers; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2011)

Iterative Gaussianization: From ICA to Random Rotations. - Valero Laparra; Gustavo Camps-Valls; Jesus Malo (IEEE Trans. Neural Networks, 2011)

Structured Output SVM for Remote Sensing Image Classification. - Devis Tuia; Jordi Muñoz-Marí; Mikhail F. Kanevski; Gustavo Camps-Valls (J. Signal Process. Syst., 2011)

Remote Sensing Image Processing - Gustavo Camps-Valls; Devis Tuia; Luis Gómez-Chova; Sandra Jiménez; Jesús Malo (Morgan & Claypool Publishers, 2011)

Discovering single classes in remote sensing images with active learning. - Mirco Furlani; Devis Tuia; Jordi Muñoz-Marí; Francesca Bovolo; Gustavo Camps-Valls; Lorenzo Bruzzone (IGARSS, 2012)

Semisupervised nonlinear feature extraction for image classification. - Emma Izquierdo-Verdiguier; Luis Gómez-Chova; Lorenzo Bruzzone; Gustavo Camps-Valls (IGARSS, 2012)

Including invariances in SVM remote sensing image classification. - Emma Izquierdo-Verdiguier; Valero Laparra; Luis Gómez-Chova; Gustavo Camps-Valls (IGARSS, 2012)

Learning with the kernel signal to noise ratio. - Luis Gómez-Chova; Gustavo Camps-Valls (MLSP, 2012)

Semisupervised kernel orthonormalized partial least squares. - Emma Izquierdo-Verdiguier; Jerónimo Arenas-García; Sergio Muñoz-Romero; Luis Gómez-Chova; Gustavo Camps-Valls (MLSP, 2012)

Nonlinear data description with Principal Polynomial Analysis. - Valero Laparra; Devis Tuia; Sandra Jiménez; Gustavo Camps-Valls; Jesus Malo (MLSP, 2012)

Preface. - Ignacio Santamaría; Jerónimo Arenas-García; Gustavo Camps-Valls; Deniz Erdogmus; Fernando Pérez-Cruz (MLSP, 2012)

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection. - Felipe Alonso Atienza; José Luis Rojo-Álvarez; Alfredo Rosado Muñoz; Juan J. Vinagre; Arcadi García-Alberola; Gustavo Camps-Valls (Expert Syst. Appl., 2012)

Unsupervised Change Detection With Kernels. - Michele Volpi; Devis Tuia; Gustavo Camps-Valls; Mikhail F. Kanevski (IEEE Geosci. Remote. Sens. Lett., 2012)

Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. - Valero Laparra; Sandra Jiménez; Gustavo Camps-Valls; Jesús Malo (Neural Comput., 2012)

Remote sensing image segmentation by active queries. - Devis Tuia; Jordi Muñoz-Marí; Gustavo Camps-Valls (Pattern Recognit., 2012)

Nonlinear Statistical Retrieval of Atmospheric Profiles From MetOp-IASI and MTG-IRS Infrared Sounding Data. - Gustavo Camps-Valls; Jordi Muñoz-Marí; Luis Gómez-Chova; Luis Guanter; Xavier Calbet (IEEE Trans. Geosci. Remote. Sens., 2012)

Semisupervised Classification of Remote Sensing Images With Active Queries. - Jordi Muñoz-Marí; Devis Tuia; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2012)

Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques. - Jochem Verrelst; Luis Alonso 002; Gustavo Camps-Valls; Jesús Delegido; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2012)

Large Margin Filtering. - Rémi Flamary; Devis Tuia; Benjamin Labbé; Gustavo Camps-Valls; Alain Rakotomamonjy (IEEE Trans. Signal Process., 2012)

Kernel change discriminant analysis for multitemporal cloud masking. - Luis Gómez-Chova; Emma Izquierdo-Verdiguier; Julia Amorós-López; Jordi Muñoz-Marí; Gustavo Camps-Valls (IGARSS, 2013)

Advances in synergy of AATSR-MERIS sensors for cloud detection. - Luis Gómez-Chova; Jordi Muñoz-Marí; Julia Amorós-López; Emma Izquierdo-Verdiguier; Gustavo Camps-Valls (IGARSS, 2013)

Domain adaptation with Hidden Markov Random Fields. - Jan-Pieter Jacobs; Guy Thoonen; Devis Tuia; Gustavo Camps-Valls; Birgen Haest; Paul Scheunders (IGARSS, 2013)

Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes. - Miguel Lázaro-Gredilla; Michalis K. Titsias; Jochem Verrelst; Gustavo Camps-Valls (IGARSS, 2013)

Kernel Structural SIMIlarity on hyperspectral images. - Vicent Talens; Valero Laparra; Jesus Malo; Gustavo Camps-Valls (IGARSS, 2013)

Multi-sensor change detection based on nonlinear canonical correlations. - Michele Volpi; Frank de Morsier; Gustavo Camps-Valls; Mikhail F. Kanevski; Devis Tuia (IGARSS, 2013)

A kernel regression approach to cloud and shadow detection in multitemporal images. - Julia Amorós-López; Emma Izquierdo-Verdiguier; Luis Gómez-Chova; Jordi Muñoz-Marí; Gustavo Camps-Valls (MultiTemp, 2013)

Multiset Kernel CCA for multitemporal image classification. - Jordi Muñoz-Marí; Luis Gómez-Chova; Julia Amorós-López; Emma Izquierdo-Verdiguier; Gustavo Camps-Valls (MultiTemp, 2013)

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring. - Julia Amorós-López; Luis Gómez-Chova; Luis Alonso 002; Luis Guanter; Raúl Zurita-Milla; José F. Moreno; Gustavo Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Encoding Invariances in Remote Sensing Image Classification With SVM. - Emma Izquierdo-Verdiguier; Valero Laparra; Luis Gómez-Chova; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2013)

Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. - Jerónimo Arenas-García; Kaare Brandt Petersen; Gustavo Camps-Valls; Lars Kai Hansen (IEEE Signal Process. Mag., 2013)

Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data. - Jochem Verrelst; Luis Alonso 002; Juan Pablo Rivera Caicedo; José F. Moreno; Gustavo Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Multitask Remote Sensing Data Classification. - José M. Leiva-Murillo; Luis Gómez-Chova; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2013)

Interactive Pansharpening and Active Classification in Remote Sensing. - Pablo Ruiz 002; Javier Mateos; Gustavo Camps-Valls; Rafael Molina 001; Aggelos K. Katsaggelos (Multimodal Interaction in Image and Video Applications, 2013)

Lossless coding of hyperspectral images with principal polynomial analysis. - Naoufal Amrani; Valero Laparra; Gustavo Camps-Valls; Joan Serra-Sagristà; Jesús Malo (ICIP, 2014)

Unsupervised Alignment of Image Manifolds with Centrality Measures. - Devis Tuia; Michele Volpi; Gustau Camps-Valls (ICPR, 2014)

Spectral adaptation of hyperspectral flight lines using VHR contextual information. - Jan-Pieter Jacobs; Guy Thoonen; Devis Tuia; Gustavo Camps-Valls; Pieter Kempeneers; Paul Scheunders (IGARSS, 2014)

Dimensionality reduction via regression on hyperspectral infrared sounding data. - Valero Laparra; Jesus Malo; Gustavo Camps-Valls (WHISPERS, 2014)

A family of kernel anomaly change detectors. - Nathan Longbotham; Gustavo Camps-Valls (WHISPERS, 2014)

Prelaunch assessment of worldview-3 information content. - Nathan Longbotham; Fabio Pacifici; Bill Baugh; Gustavo Camps-Valls (WHISPERS, 2014)

Unsupervised deep feature extraction of hyperspectral images. - Adriana Romero; Carlo Gatta; Gustavo Camps-Valls (WHISPERS, 2014)

A unified SVM framework for signal estimation. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Jordi Muñoz-Marí; Gustavo Camps-Valls (Digit. Signal Process., 2014)

Principal Polynomial Analysis. - Valero Laparra; Sandra Jiménez; Devis Tuia; Gustau Camps-Valls; Jesús Malo (Int. J. Neural Syst., 2014)

Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes. - Miguel Lázaro-Gredilla; Michalis K. Titsias; Jochem Verrelst; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2014)

Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes. - Sancho Salcedo-Sanz; Carlos Casanova-Mateo; Jordi Muñoz-Marí; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2014)

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods. - Gustavo Camps-Valls; Devis Tuia; Lorenzo Bruzzone; Jón Atli Benediktsson (IEEE Signal Process. Mag., 2014)

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters. - Juan Pablo Rivera Caicedo; Jochem Verrelst; Jordi Muñoz-Marí; José F. Moreno; Gustavo Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis. - Emma Izquierdo-Verdiguier; Luis Gómez-Chova; Lorenzo Bruzzone; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2014)

Bayesian Active Remote Sensing Image Classification. - Pablo Ruiz 002; Javier Mateos; Gustavo Camps-Valls; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Geosci. Remote. Sens., 2014)

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. - Devis Tuia; Michele Volpi; Maxime Trolliet; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2014)

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. - Devis Tuia; Jordi Muñoz-Marí; José Luis Rojo-Álvarez; Manel Martínez-Ramón; Gustavo Camps-Valls (IEEE Trans. Neural Networks Learn. Syst., 2014)

Support vector machines in engineering: an overview. - Sancho Salcedo-Sanz; José Luis Rojo-Álvarez; Manel Martínez-Ramón; Gustavo Camps-Valls (WIREs Data Mining Knowl. Discov., 2014)

Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. - Katalin Blix; Gustau Camps-Valls; Robert Jenssen (IGARSS, 2015)

Development of an earth observation processing chain for crop bio-physical parameters at local scale. - Manuel Campos-Taberner; F. Javier García-Haro; Álvaro Moreno; María Amparo Gilabert; Beatriz Martínez 001; Sergio Sanchez-Ruiz; Gustau Camps-Valls (IGARSS, 2015)

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination. - Manuel Campos-Taberner; Adriana Romero; Carlo Gatta; Gustau Camps-Valls (IGARSS, 2015)

Ranking drivers of global carbon and energy fluxes over land. - Gustau Camps-Valls; Martin Jung 002; Kazuhito Ichii; Dario Papale; Gianluca Tramontana; Paul Bodesheim; Christopher R. Schwalm; Jakob Zscheischler; Miguel D. Mahecha; Markus Reichstein (IGARSS, 2015)

Operational cloud screening service for Sentinel-2 image time series. - Luis Gómez-Chova; Julia Amorós-López; Antonio Ruiz-Verdú; Jordi Muñoz-Marí; Gustau Camps-Valls (IGARSS, 2015)

Weakly supervised alignment of multisensor images. - Diego Marcos Gonzalez; Gustau Camps-Valls; Devis Tuia (IGARSS, 2015)

Large-scale random features for kernel regression. - Valero Laparra; Diego Marcos Gonzalez; Devis Tuia; Gustau Camps-Valls (IGARSS, 2015)

Biophysical parameter retrieval with warped Gaussian processes. - Jordi Muñoz-Marí; Jochem Verrelst; Miguel Lázaro-Gredilla; Gustau Camps-Valls (IGARSS, 2015)

Replacing radiative transfer models by surrogate approximations through machine learning. - Jochem Verrelst; Juan Pablo Rivera; José Gómez-Dans; Gustau Camps-Valls; José F. Moreno (IGARSS, 2015)

Capturing Time-structures in Earth Observation Data with Gaussian Processes (abstract). - Gustavo Camps-Valls (AALTD@PKDD/ECML, 2015)

Learning Structures in Earth Observation Data with Gaussian Processes. - Fernando Mateo; Jordi Muñoz-Marí; Valero Laparra; Jochem Verrelst; Gustau Camps-Valls (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

Kernel Manifold Alignment. - Devis Tuia; Gustau Camps-Valls (CoRR, 2015)

Spectral clustering with the probabilistic cluster kernel. - Emma Izquierdo-Verdiguier; Robert Jenssen; Luis Gómez-Chova; Gustavo Camps-Valls (Neurocomputing, 2015)

Dimensionality Reduction via Regression in Hyperspectral Imagery. - Valero Laparra; Jesus Malo; Gustau Camps-Valls (IEEE J. Sel. Top. Signal Process., 2015)

Mapping Leaf Area Index With a Smartphone and Gaussian Processes. - Manuel Campos-Taberner; F. Javier García-Haro; Álvaro Moreno; M. Amparo Gilabert Navarro; Sergio Sanchez-Ruiz; Beatriz Martínez 001; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2015)

Multimodal Classification of Remote Sensing Images: A Review and Future Directions. - Luis Gómez-Chova; Devis Tuia; Gabriele Moser; Gustau Camps-Valls (Proc. IEEE, 2015)

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning. - Juan Pablo Rivera; Jochem Verrelst; José Gómez-Dans; Jordi Muñoz-Marí; José F. Moreno; Gustau Camps-Valls (Remote. Sens., 2015)

Latent force models for earth observation time series prediction. - David Luengo; Manuel Campos-Taberner; Gustau Camps-Valls (MLSP, 2016)

Spectral band selection for vegetation properties retrieval using Gaussian processes regression. - Jochem Verrelst; Juan Pablo Rivera; Anatoly A. Gitelson; Jesús Delegido; José F. Moreno; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Image Denoising with Kernels based on Natural Image Relations. - Valero Laparra; Juan Gutiérrez; Gustavo Camps-Valls; Jesús Malo (CoRR, 2016)

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. - Jochem Verrelst; Sara Dethier; Juan Pablo Rivera; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (IEEE Geosci. Remote. Sens. Lett., 2016)

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis. - Jochem Verrelst; Neus Sabater; Juan Pablo Rivera; Jordi Muñoz-Marí; Jorge Vicent 001; Gustau Camps-Valls; José F. Moreno (Remote. Sens., 2016)

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. - Manuel Campos-Taberner; Adriana Romero-Soriano; Carlo Gatta; Gustau Camps-Valls; Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. - Adriana Romero; Carlo Gatta; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2016)

Recycling Gibbs sampling. - Luca Martino; Victor Elvira; Gustau Camps-Valls (EUSIPCO, 2017)

Group metropolis sampling. - Luca Martino; Victor Elvira; Gustau Camps-Valls (EUSIPCO, 2017)

Probabilistic cross-validation estimators for Gaussian process regression. - Luca Martino; Valero Laparra; Gustau Camps-Valls (EUSIPCO, 2017)

Passive millimeter wave image classification with large scale Gaussian processes. - Pablo Morales-Alvarez; Adrian Perez-Suay; Rafael Molina 001; Gustau Camps-Valls; Aggelos K. Katsaggelos (ICIP, 2017)

Predicting year of plantation with hyperspectral and lidar data. - Adrià Descals; Luis Alonso 002; Gustau Camps-Valls (IGARSS, 2017)

Cloud detection machine learning algorithms for PROBA-V. - Luis Gómez-Chova; Gonzalo Mateo-Garcia; Jordi Muñoz-Marí; Gustau Camps-Valls (IGARSS, 2017)

Nonlinear statistical retrieval of surface emissivity from IASI data. - Valero Laparra; Jordi Muñoz-Marí; Luis Gómez-Chova; Xavier Calbet; Gustau Camps-Valls (IGARSS, 2017)

Spatial noise-aware temperature retrieval from infrared sounder data. - David Malmgren-Hansen; Valero Laparra; Allan Aasbjerg Nielsen; Gustau Camps-Valls (IGARSS, 2017)

Automatic emulator and optimized look-up table generation for radiative transfer models. - Luca Martino; Jorge Vicent 001; Gustau Camps-Valls (IGARSS, 2017)

Convolutional neural networks for multispectral image cloud masking. - Gonzalo Mateo-Garcia; Luis Gómez-Chova; Gustau Camps-Valls (IGARSS, 2017)

Efficient remote sensing image classification with Gaussian processes and Fourier features. - Pablo Morales-Alvarez; Adrian Perez-Suay; Rafael Molina 001; Gustau Camps-Valls (IGARSS, 2017)

Causal inference in geosciences with kernel sensitivity maps. - Adrian Perez-Suay; Gustau Camps-Valls (IGARSS, 2017)

Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices. - Maria Piles; Gustavo Camps-Valls; David Chaparro; Dara Entekhabi; Alexandra Georges Konings; Thomas Jagdhuber (IGARSS, 2017)

Retrieval of coloured dissolved organic matter with machine learning methods. - Ana B. Ruescas; Martin Hieronymi; Sampsa S. Koponen; Kari Y. Kallio; Gustau Camps-Valls (IGARSS, 2017)

Joint Gaussian processes for inverse modeling. - Daniel Heestermans Svendsen; Luca Martino; Manuel Campos-Taberner; Gustau Camps-Valls (IGARSS, 2017)

Fair Kernel Learning. - Adrián Pérez-Suay; Valero Laparra; Gonzalo Mateo-Garcia; Jordi Muñoz-Marí; Luis Gómez-Chova; Gustau Camps-Valls (ECML/PKDD (1), 2017)

Physics-Aware Gaussian Processes for Earth Observation. - Gustau Camps-Valls; Daniel H. Svendsen; Luca Martino; Jordi Muñoz-Marí; Valero Laparra; Manuel Campos-Taberner; David Luengo (SCIA (2), 2017)

Automatic Emulation by Adaptive Relevance Vector Machines. - Luca Martino; Jorge Vicent 001; Gustau Camps-Valls (SCIA (1), 2017)

Computer Science Meets Ecology (Dagstuhl Seminar 17091). - Gustau Camps-Valls; Thomas Hickler; Birgitta König-Ries (Dagstuhl Reports, 2017)

Nonlinear Time-Series Adaptation for Land Cover Classification. - Adeline Bailly; Laetitia Chapel; Romain Tavenard; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2017)

Compensatory water effects link yearly global land CO2 sink changes to temperature. - Martin Jung 002; Markus Reichstein; Christopher R. Schwalm; Christopher Huntingford; Stephen Sitch; Anders Ahlström; Almut Arneth; Gustau Camps-Valls; Philippe Ciais; Pierre Friedlingstein; Fabian Gans; Kazuhito Ichii; et al. (Nat., 2017)

Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index. - Manuel Campos-Taberner; Francisco Javier García-Haro; Gustau Camps-Valls; Gonçal Grau-Muedra; Francesco Nutini; Lorenzo Busetto; Dimitrios Katsantonis; Dimitris G. Stavrakoudis; Chara Minakou; Luca Gatti; Massimo Barbieri; Francesco Holecz; et al. (Remote. Sens., 2017)

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra. - Jochem Verrelst; Juan Pablo Rivera Caicedo; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (Remote. Sens., 2017)

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. - Katalin Blix; Gustau Camps-Valls; Robert Jenssen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression. - Joaquin Garcia-Sobrino; Joan Serra-Sagristà; Valero Laparra; Xavier Calbet; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2017)

Optimized Kernel Entropy Components. - Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls (IEEE Trans. Neural Networks Learn. Syst., 2017)

Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture. - Diego Bueso; Maria Piles; Gustau Camps-Valls (IGARSS, 2018)

Consistent Regression of Biophysical Parameters with Kernel Methods. - Emiliano Diaz; Adrian Perez-Suay; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. - Francisco Javier García-Haro; Manuel Campos-Taberner; Beatriz Martínez 001; Sergio Sanchez-Ruiz; María Amparo Gilabert; Gustau Camps-Valls; Jordi Muñoz-Marí; Valero Laparra; Fernando Camacho; Jorge Sánchez-Zapero; Beatriz Fuster (IGARSS, 2018)

Nonlinear Cook Distance for Anomalous Change Detection. - José Antonio Padrón-Hidalgo; Adrian Perez-Suay; Fatih Nar; Gustau Camps-Valls (IGARSS, 2018)

Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. - Juan Emmanuel Johnson; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. - David Malmgren-Hansen; Allan Aasbjerg Nielsen; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. - Anna Mateo-Sanchis; Jordi Muñoz-Marí; Manuel Campos-Taberner; F. Javier García-Haro; Gustau Camps-Valls (IGARSS, 2018)

Interpolation and Gap Filling of Landsat Reflectance Time Series. - Álvaro Moreno-Martínez; Marco P. Maneta; Gustau Camps-Valls; Luca Martino; Nathaniel P. Robinson; Brady W. Allred; Steven W. Running (IGARSS, 2018)

Randomized RX for Target Detection. - Fatih Nar; Adrian Perez-Suay; José Antonio Padrón; Gustau Camps-Valls (IGARSS, 2018)

Sparsity-Driven Digital Terrain Model Extraction. - Fatih Nar; Erdal Yilmaz; Gustau Camps-Valls (IGARSS, 2018)

Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors. - Maria Piles; Robin van der Schalie; Alexander Gruber; Jordi Muñoz-Marí; Gustavo Camps-Valls; Anna Mateo-Sanchis; Wouter Dorigo; Richard de Jeu (IGARSS, 2018)

Retrieval of Case 2 Water Quality Parameters with Machine Learning. - Ana B. Ruescas; Gonzalo Mateo-Garcia; Gustau Camps-Valls; Martin Hieronymi (IGARSS, 2018)

Deep Gaussian Processes for Geophysical Parameter Retrieval. - Daniel Heestermans Svendsen; Pablo Morales-Alvarez; Rafael Molina 001; Gustau Camps-Valls (IGARSS, 2018)

Multioutput Automatic Emulator for Radiative Transfer Models. - Daniel Heestermans Svendsen; Luca Martino; Jorge Vicent 001; Gustau Camps-Valls (IGARSS, 2018)

A Deep Network Approach to Multitemporal Cloud Detection. - Devis Tuia; Benjamin Kellenberger; Adrián Pérez-Suay; Gustau Camps-Valls (IGARSS, 2018)

Statistical Learning For End-To-End Simulations. - Jorge Vicent 001; Jochem Verrelst; Juan Pablo Rivera Caicedo; Neus Sabater; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (IGARSS, 2018)

Distributed Particle Metropolis-Hastings Schemes. - Luca Martino; Victor Elvira; Gustau Camps-Valls (SSP, 2018)

Assessing the relationship between microwave vegetation optical depth and gross primary production. - Irene E. Teubner; Matthias Forkel; Martin Jung 002; Yi Y. Liu 001; Diego G. Miralles; Robert M. Parinussa; Robin van der Schalie; Mariette Vreugdenhil; Christopher R. Schwalm; Gianluca Tramontana; Gustau Camps-Valls; Wouter A. Dorigo (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Physics-aware Gaussian processes in remote sensing. - Gustau Camps-Valls; Luca Martino; Daniel H. Svendsen; Manuel Campos-Taberner; Jordi Muñoz-Marí; Valero Laparra; David Luengo; Francisco Javier García-Haro (Appl. Soft Comput., 2018)

Sensitivity maps of the Hilbert-Schmidt independence criterion. - Adrián Pérez-Suay; Gustau Camps-Valls (Appl. Soft Comput., 2018)

The FLUXCOM ensemble of global land-atmosphere energy fluxes. - Martin Jung 002; Sujan Koirala; Ulrich Weber; Kazuhito Ichii; Fabian Gans; Gustau Camps-Valls; Dario Papale; Christopher R. Schwalm; Gianluca Tramontana; Markus Reichstein (CoRR, 2018)

The Recycling Gibbs sampler for efficient learning. - Luca Martino; Víctor Elvira; Gustau Camps-Valls (Digit. Signal Process., 2018)

Group Importance Sampling for particle filtering and MCMC. - Luca Martino; Víctor Elvira; Gustau Camps-Valls (Digit. Signal Process., 2018)

Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. - Anna Mateo-Sanchis; Jordi Muñoz-Marí; Adrian Perez-Suay; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2018)

Signal-to-noise ratio in reproducing kernel Hilbert spaces. - Luis Gómez-Chova; Raúl Santos-Rodríguez; Gustau Camps-Valls (Pattern Recognit. Lett., 2018)

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. - Manuel Campos-Taberner; Francisco Javier García-Haro; Lorenzo Busetto; Luigi Ranghetti; Beatriz Martínez 001; María Amparo Gilabert; Gustau Camps-Valls; Fernando Camacho; Mirco Boschetti (Remote. Sens., 2018)

Global Estimation of Biophysical Variables from Google Earth Engine Platform. - Manuel Campos-Taberner; Álvaro Moreno-Martínez; Francisco Javier García-Haro; Gustau Camps-Valls; Nathaniel P. Robinson; Jens Kattge; Steven W. Running (Remote. Sens., 2018)

Multitemporal Cloud Masking in the Google Earth Engine. - Gonzalo Mateo-Garcia; Luis Gómez-Chova; Julia Amorós-López; Jordi Muñoz-Marí; Gustau Camps-Valls (Remote. Sens., 2018)

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. - Ana B. Ruescas; Martin Hieronymi; Gonzalo Mateo-Garcia; Sampsa S. Koponen; Kari Y. Kallio; Gustau Camps-Valls (Remote. Sens., 2018)

Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks. - Adrian Perez-Suay; Julia Amorós-López; Luis Gómez-Chova; Jordi Muñoz-Marí; Dieter Just; Gustau Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. - Jorge Vicent 001; Jochem Verrelst; Juan Pablo Rivera Caicedo; Neus Sabater; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Remote Sensing Image Classification With Large-Scale Gaussian Processes. - Pablo Morales-Alvarez; Adrian Perez-Suay; Rafael Molina 001; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2018)

Joint Gaussian Processes for Biophysical Parameter Retrieval. - Daniel Heestermans Svendsen; Luca Martino; Manuel Campos-Taberner; Francisco Javier García-Haro; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2018)

The Causality for Climate Competition. - Jakob Runge; Xavier-Andoni Tibau; Matthias Bruhns; Jordi Muñoz-Marí; Gustau Camps-Valls (NeurIPS (Competition and Demos), 2019)

Deep learning and process understanding for data-driven Earth system science. - Markus Reichstein; Gustau Camps-Valls; Bjorn Stevens; Martin Jung 002; Joachim Denzler; Nuno Carvalhais; Prabhat (Nat., 2019)

Foreword to the Special Issue on IGARSS 2018. - José F. Moreno; José Antonio Sobrino; Gustau Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Nonlinear Distribution Regression for Remote Sensing Applications. - José E. Adsuara; Adrián Pérez-Suay; Jordi Muñoz-Marí; Anna Mateo-Sanchis; Maria Piles; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2019)

Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. - Joaquin Garcia-Sobrino; Valero Laparra; Joan Serra-Sagristà; Xavier Calbet; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2019)

Kernel Anomalous Change Detection for Remote Sensing Imagery. - José Antonio Padrón-Hidalgo; Valero Laparra; Nathan Longbotham; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2019)

Causal Inference in Geoscience and Remote Sensing From Observational Data. - Adrian Perez-Suay; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2019)

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models. - Jorge Vicent Servera; Luis Alonso 002; Luca Martino; Neus Sabater; Jochem Verrelst; Gustau Camps-Valls; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2019)

Particle Group Metropolis Methods for Tracking the Leaf Area Index. - Luca Martino; Víctor Elvira; Gustau Camps-Valls (ICASSP, 2020)

Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. - Luca Martino; Daniel Heestermans Svendsen; Jorge Vicent 001; Gustau Camps-Valls (ICASSP, 2020)

Discovering Differential Equations from Earth Observation Data. - José E. Adsuara; Adrián Pérez-Suay; Álvaro Moreno-Martínez; Gustau Camps-Valls; Guido Kraemer; Markus Reichstein; Miguel D. Mahecha (IGARSS, 2020)

ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY. - Gustau Camps-Valls; Markus Reichstein; Xiaoxiang Zhu 001; Devis Tuia (IGARSS, 2020)

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. - Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Gustau Camps-Valls; Marco P. Maneta; Jordi Muñoz-Marí; Nathaniel P. Robinson; José E. Adsuara; Manuel Campos; F. Javier García-Haro; Adrián Pérez-Suay; Nicholas Clinton; John S. Kimball; et al. (IGARSS, 2020)

Interpretability of Recurrent Neural Networks in Remote Sensing. - Adrián Pérez-Suay; José E. Adsuara; María Piles; Laura Martínez-Ferrer; Emiliano Diaz; Álvaro Moreno-Martínez; Gustau Camps-Valls (IGARSS, 2020)

Manifold Learning with High Dimensional Model Representations. - Gülsen Taskin 001; Gustau Camps-Valls (IGARSS, 2020)

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. - Katja Berger; Jochem Verrelst; Jean-Baptiste Féret; Tobias Hank; Matthias Wocher; Wolfram Mauser; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2020)

A Perspective on Gaussian Processes for Earth Observation. - Gustau Camps-Valls; Dino Sejdinovic; Jakob Runge; Markus Reichstein (CoRR, 2020)

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. - Juan Emmanuel Johnson; Valero Laparra; Adrián Pérez-Suay; Miguel D. Mahecha; Gustau Camps-Valls (CoRR, 2020)

Information Theory Measures via Multidimensional Gaussianization. - Valero Laparra; Juan Emmanuel Johnson; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesus Malo (CoRR, 2020)

Living in the Physics and Machine Learning Interplay for Earth Observation. - Gustau Camps-Valls; Daniel H. Svendsen; Jordi Cortés-Andrés; Álvaro Moreno-Martínez; Adrián Pérez-Suay; José E. Adsuara; Irene Martín; Maria Piles; Jordi Muñoz-Marí; Luca Martino (CoRR, 2020)

Information Theory in Density Destructors. - Juan Emmanuel Johnson; Valero Laparra; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesús Malo (CoRR, 2020)

Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes. - Luca Pipia; Jordi Muñoz-Marí; Eatidal Amin; Santiago Belda; Gustau Camps-Valls; Jochem Verrelst (CoRR, 2020)

Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality. - Miguel Morata-Dolz; Diego Bueso; Maria Piles; Gustau Camps-Valls (CoRR, 2020)

Randomized kernels for large scale Earth observation applications. - Adrián Pérez-Suay; Julia Amorós-López; Luis Gómez-Chova; Valero Laparra; Jordi Muñoz-Marí; Gustau Camps-Valls (CoRR, 2020)

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. - Devis Tuia; Diego Marcos; Gustau Camps-Valls (CoRR, 2020)

Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models. - Jorge Vicent 001; Luis Alonso 002; Luca Martino; Neus Sabater; Jochem Verrelst; Gustau Camps-Valls (CoRR, 2020)

Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations. - Aleksandra Wolanin; Gustau Camps-Valls; Luis Gómez-Chova; Gonzalo Mateo-García; Christiaan van der Tol; Yongguang Zhang; Luis Guanter (CoRR, 2020)

Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. - Sancho Salcedo-Sanz; Pedram Ghamisi; María Piles; Martin Werner 001; Lucas Cuadra; Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Jordi Muñoz-Marí; Amirhosein Mosavi; Gustau Camps-Valls (Inf. Fusion, 2020)

Accounting for Input Noise in Gaussian Process Parameter Retrieval. - Juan Emmanuel Johnson; Valero Laparra; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2020)

Active emulation of computer codes with Gaussian processes - Application to remote sensing. - Daniel Heestermans Svendsen; Luca Martino; Gustau Camps-Valls (Pattern Recognit., 2020)

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. - José Antonio Padrón-Hidalgo; Adrián Pérez-Suay; Fatih Nar; Valero Laparra; Gustau Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data. - Diego Bueso; Maria Piles; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2020)

Perspective on Deep Learning for Earth Sciences. - Gustau Camps-Valls (Generalization with Deep Learning, 2021)

Physics-Aware Machine Learning for Geosciences and Remote Sensing. - Gustau Camps-Valls; Daniel H. Svendsen; Jordi Cortés-Andrés; Álvaro Moreno-Martínez; Adrián Pérez-Suay; José E. Adsuara; Irene Martín; Maria Piles; Jordi Muñoz-Marí; Luca Martino (IGARSS, 2021)

Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm. - Roberto Fernandez-Moran; María Piles; Gustau Camps-Valls; Jean-Pierre Wigneron; Xiaojun Li 003; Mengjia Wang; Lei Fan 001; Amen Al-Yaari; Luis Gómez-Chova (IGARSS, 2021)

Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. - Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; José E. Adsuara; Jordi Muñoz-Marí; Gustau Camps-Valls; Marco P. Maneta; John S. Kimball; Nicholas Clinton; Steven W. Running (IGARSS, 2021)

Global Cropland Yield Monitoring with Gaussian Processes. - Maria Piles; Anna Mateo-Sanchis; Jordi Muñoz-Marí; Gustau Camps-Valls; François Waldner; Felix Rembold; Michele Meroni (IGARSS, 2021)

Learning main drivers of crop progress and failure in Europe with interpretable machine learning. - Anna Mateo-Sanchis; Maria Piles; Julia Amorós-López; Jordi Muñoz-Marí; José E. Adsuara; Álvaro Moreno-Martínez; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Towards a Collective Agenda on AI for Earth Science Data Analysis. - Devis Tuia; Ribana Roscher; Jan Dirk Wegner; Nathan Jacobs; Xiao Xiang Zhu 001; Gustau Camps-Valls (CoRR, 2021)

Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. - Daniel Heestermans Svendsen; Pablo Morales-Alvarez; Ana Belen Ruescas; Rafael Molina 001; Gustau Camps-Valls (CoRR, 2021)

Deep Learning Methods for Daily Wildfire Danger Forecasting. - Ioannis Prapas; Spyros Kondylatos; Ioannis Papoutsis; Gustau Camps-Valls; Michele Ronco; Miguel-Ángel Fernández-Torres; Maria Piles Guillem; Nuno Carvalhais (CoRR, 2021)

Deep Learning and Earth Observation to Support the Sustainable Development Goals. - Claudio Persello; Jan Dirk Wegner; Ronny Hänsch; Devis Tuia; Pedram Ghamisi; Mila Koeva; Gustau Camps-Valls (CoRR, 2021)

Deep importance sampling based on regression for model inversion and emulation. - Fernando Llorente 001; Luca Martino; David Delgado-Gómez; Gustavo Camps-Valls (Digit. Signal Process., 2021)

Crop Yield Estimation and Interpretability With Gaussian Processes. - Laura Martínez-Ferrer; Maria Piles; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2021)

Efficient Nonlinear RX Anomaly Detectors. - José Antonio Padrón-Hidalgo; Adrián Pérez-Suay; Fatih Nar; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2021)

Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. - Luca Martino; Víctor Elvira; Javier López-Santiago; Gustau Camps-Valls (IEEE Trans. Aerosp. Electron. Syst., 2021)

The Kernelized Taylor Diagram. - Kristoffer Wickstrøm; Juan Emmanuel Johnson; Sigurd Løkse; Gustau Camps-Valls; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen (NAIS, 2022)

Let's consider more general nonlinear approaches to study teleconnections of climate variables. - Diego Bueso; Maria Piles; Gustavo Camps-Valls (CoRR, 2022)

Learning Relevant Features of Optical Water Types. - Katalin Blix; Ana Belen Ruescas; Juan Emmanuel Johnson; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2022)

Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness. - Zhu Li; Adrián Pérez-Suay; Gustau Camps-Valls; Dino Sejdinovic (Pattern Recognit., 2022)

Retrieval of Physical Parameters With Deep Structured Kernel Regression. - Gustau Camps-Valls; Manuel Campos-Taberner; Valero Laparra; Luca Martino; Jordi Muñoz-Marí (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. - José Antonio Padrón-Hidalgo; Valero Laparra; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2022)

Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions. - María Piles; Jordi Muñoz-Marí; Alicia Guerrero-Curieses; Gustau Camps-Valls; José Luis Rojo-Álvarez (IEEE Trans. Geosci. Remote. Sens., 2022)

Systematic Assessment of MODTRAN Emulators for Atmospheric Correction. - Jorge Vicent Servera; Juan Pablo Rivera Caicedo; Jochem Verrelst; Jordi Muñoz-Marí; Neus Sabater; Béatrice Berthelot; Gustau Camps-Valls; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2022)

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. - Daniel Heestermans Svendsen; Maria Piles; Jordi Muñoz-Marí; David Luengo; Luca Martino; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2022)

Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. - Gülsen Taskin 001; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2022)

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. - Ioannis Prapas; Nikolaos-Ioannis Bountos; Spyros Kondylatos; Dimitrios Michail 001; Gustau Camps-Valls; Ioannis Papoutsis (ICCV (Workshops), 2023)

Explainability of End and Mid-Season Cotton Yield Predictors In Conus. - Mehmet Furkan Celik; Mustafa Serkan Isik; Esra Erten; Gustau Camps-Valls (IGARSS, 2023)

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. - Spyridon Kondylatos; Ioannis Prapas; Gustau Camps-Valls; Ioannis Papoutsis (NeurIPS, 2023)

Understanding cirrus clouds using explainable machine learning. - Kai Jeggle; David Neubauer; Gustau Camps-Valls; Ulrike Lohmann (CoRR, 2023)

Artificial intelligence to advance Earth observation: a perspective. - Devis Tuia; Konrad Schindler; Begüm Demir; Gustau Camps-Valls; Xiao Xiang Zhu 001; Mrinalini Kochupillai; Saso Dzeroski; Jan N. van Rijn; Holger H. Hoos; Fabio Del Frate; Mihai Datcu; Jorge-Arnulfo Quiané-Ruiz; et al. (CoRR, 2023)

Discovering Causal Relations and Equations from Data. - Gustau Camps-Valls; Andreas Gerhardus; Urmi Ninad; Gherardo Varando; Georg Martius; Emili Balaguer-Ballester; Ricardo Vinuesa; Emiliano Diaz; Laure Zanna; Jakob Runge (CoRR, 2023)

Graphs in State-Space Models for Granger Causality in Climate Science. - Víctor Elvira; Emilie Chouzenoux; Jordi Cerdà; Gustau Camps-Valls (CoRR, 2023)

Evaluating the Impact of Humanitarian Aid on Food Security. - Jordi Cerdà-Bautista; José María Tárraga; Vasileios Sitokonstantinou; Gustau Camps-Valls (CoRR, 2023)

Causality and Explainability for Trustworthy Integrated Pest Management. - Ilias Tsoumas; Vasileios Sitokonstantinou; Georgios Giannarakis; Evagelia Lampiri; Christos Athanassiou; Gustau Camps-Valls; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2023)

Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. - Mehmet Furkan Celik; Mustafa Serkan Isik; Gülsen Taskin 001; Esra Erten; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2023)

Interpretable Long Short-Term Memory Networks for Crop Yield Estimation. - Anna Mateo-Sanchis; José E. Adsuara; Maria Piles; Jordi Muñoz-Marí; Adrian Perez-Suay; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2023)

Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. - Arndt Kaps; Axel Lauer; Gustau Camps-Valls; Pierre Gentine; Luis Gómez-Chova; Veronika Eyring (IEEE Trans. Geosci. Remote. Sens., 2023)

Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. - Jorge Vicent Servera; Luca Martino; Jochem Verrelst; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2023)

A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images. - Gülsen Taskin 001; Emrullah Fatih Yetkin; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2023)

Fair Kernel Regression through Cross-Covariance Operators. - Adrian Perez-Suay; Paula Gordaliza; Jean-Michel Loubes; Dino Sejdinovic; Gustau Camps-Valls (Trans. Mach. Learn. Res., 2023)

Understanding cirrus clouds using explainable machine learning. - Kai Jeggle; David Neubauer; Gustau Camps-Valls; Ulrike Lohmann (Zenodo, 2023)

Understanding cirrus clouds using explainable machine learning. - Kai Jeggle; David Neubauer; Gustau Camps-Valls; Ulrike Lohmann (Zenodo, 2023)

Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes. - Diego Bueso; Maria Piles; Gustau Camps-Valls; Álvaro Moreno-Martínez (Zenodo, 2023)

Inference over radiative transfer models using variational and expectation maximization methods. - Daniel Heestermans Svendsen; Daniel Hernández-Lobato; Luca Martino; Valero Laparra; Álvaro Moreno-Martínez; Gustau Camps-Valls (Mach. Learn., 2023)

Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. - Jorge Vicent Servera; Luca Martino; Jochem Verrelst; Gustau Camps-Valls (Zenodo, 2023)

Learning latent functions for causal discovery. - Emiliano Diaz; Gherardo Varando; Juan Emmanuel Johnson; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2023)

Exploring interactions between socioeconomic context and natural hazards on human population displacement. - Michele Ronco; José María Tárraga; Jordi Muñoz-Marí; Maria Piles; Eva Sevillano Marco; Qiang Wang; Maria Teresa Miranda Espinosa; Sylvain Ponserre; Gustau Camps-Valls (Zenodo, 2023)

Role of locality, fidelity and symmetry regularization in learning explainable representations. - Michele Ronco; Gustau Camps-Valls (Neurocomputing, 2023)

Fun with Flags: Robust Principal Directions via Flag Manifolds. - Nathan Mankovich; Gustau Camps-Valls; Tolga Birdal (CVPR, 2024)

WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. - José Manuel Aroca; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Antonio Canepa-Oneto; Juan Carlos Rad; Gustau Camps-Valls; Víctor Elvira; César García-Osorio (IGARSS, 2024)

Assessing the Causal Impact of Humanitarian Aid on Food Security. - Jordi Cerdà-Bautista; José María Tárraga; Vasileios Sitokonstantinou; Gustau Camps-Valls (IGARSS, 2024)

Drought Displacement Forecasts Can Be Improved With Twitter Data. - José María Tárraga; María Piles; Eleni Kamateri; Eva Sevillano Marco; Ioannis Tsampoulatidis; Jordi Muñoz-Marí; Gustau Camps-Valls (IGARSS, 2024)

Overview of ACM SIGKDD 2024 AI4Science4AI Special Day. - Wei Ding 003; Gustau Camps-Valls (KDD, 2024)

Double machine learning for causal hybrid modeling - applications in the Earth sciences. - Kai-Hendrik Cohrs; Gherardo Varando; Nuno Carvalhais; Markus Reichstein; Gustau Camps-Valls (CoRR, 2024)

Improving generalisation via anchor multivariate analysis. - Homer Durand; Gherardo Varando; Nathan Mankovich; Gustau Camps-Valls (CoRR, 2024)

Causal Graph Neural Networks for Wildfire Danger Prediction. - Shan Zhao 007; Ioannis Prapas; Ilektra Karasante; Zhitong Xiong; Ioannis Papoutsis; Gustau Camps-Valls; Xiao Xiang Zhu 001 (CoRR, 2024)

Recovering Latent Confounders from High-dimensional Proxy Variables. - Nathan Mankovich; Homer Durand; Emiliano Diaz; Gherardo Varando; Gustau Camps-Valls (CoRR, 2024)

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. - Zhitong Xiong; Yi Wang 072; Fahong Zhang 001; Adam J. Stewart; Joëlle Hanna; Damian Borth; Ioannis Papoutsis; Bertrand Le Saux; Gustau Camps-Valls; Xiao Xiang Zhu 001 (CoRR, 2024)

Large Language Models for Constrained-Based Causal Discovery. - Kai-Hendrik Cohrs; Gherardo Varando; Emiliano Diaz; Vasileios Sitokonstantinou; Gustau Camps-Valls (CoRR, 2024)

DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. - Chaonan Ji; Tonio Fincke; Vitus Benson; Gustau Camps-Valls; Miguel-Ángel Fernández-Torres; Fabian Gans; Guido Kraemer; Francesco Martinuzzi; David Montero 001; Karin Mora; Oscar J. Pellicer-Valero; Claire Robin; et al. (CoRR, 2024)

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. - Gustau Camps-Valls; Miguel-Ángel Fernández-Torres; Kai-Hendrik Cohrs; Adrian Höhl; Andrea Castelletti; Aytac Pacal; Claire Robin; Francesco Martinuzzi; Ioannis Papoutsis; Ioannis Prapas; Jorge Pérez-Aracil; Katja Weigel; et al. (CoRR, 2024)

Earth System Data Cubes: Avenues for advancing Earth system research. - David Montero 001; Guido Kraemer; Anca Anghelea; César Aybar; Gunnar Brandt; Gustau Camps-Valls; Felix Cremer; Ida Flik; Fabian Gans; Sarah Habershon; Chaonan Ji; Teja Kattenborn; et al. (CoRR, 2024)

Causal machine learning for sustainable agroecosystems. - Vasileios Sitokonstantinou; Emiliano Díaz Salas Porras; Jordi Cerdà-Bautista; Maria Piles; Ioannis Athanasiadis; Hannah Kerner; Giulia Martini; Lily-belle Sweet; Ilias Tsoumas; Jakob Zscheischler; Gustau Camps-Valls (CoRR, 2024)

Explainable Earth Surface Forecasting under Extreme Events. - Oscar J. Pellicer-Valero; Miguel-Ángel Fernández-Torres; Chaonan Ji; Miguel D. Mahecha; Gustau Camps-Valls (CoRR, 2024)

Causal hybrid modeling with double machine learning - applications in carbon flux modeling. - Kai-Hendrik Cohrs; Gherardo Varando; Nuno Carvalhais; Markus Reichstein; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2024)

Deep Learning With Noisy Labels for Spatiotemporal Drought Detection. - Jordi Cortés-Andrés; Miguel-Ángel Fernández-Torres; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2024)

Multioutput Feature Selection for Emulation and Sensitivity Analysis. - Jorge Vicent Servera; Luca Martino; Jochem Verrelst; Juan Pablo Rivera Caicedo; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2024)

Pairwise causal discovery with support measure machines. - Gherardo Varando; Salvador Catsis; Emiliano Diaz; Gustau Camps-Valls (Appl. Soft Comput., 2024)

Explainable deep learning for automatic rock classification. - Dongyu Zheng; Hanting Zhong; Gustau Camps-Valls; Zhisong Cao; Xiaogang Ma 001; Benjamin Mills; Xiumian Hu; Mingcai Hou; Chao Ma 026 (Comput. Geosci., 2024)

Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series. - C. Rajadel-Lambistos; Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; Marco P. Maneta; Santiago Beguería; John S. Kimball; Nicholas Clinton; Clement Atzberger; Gustau Camps-Valls; Steven W. Running (Int. J. Digit. Earth, 2024)

Out-of-distribution robustness for multivariate analysis via causal regularisation. - Homer Durand; Gherardo Varando; Nathan Mankovich; Gustau Camps-Valls (AISTATS, 2025)

A Flag Decomposition for Hierarchical Datasets. - Nathan Mankovich; Ignacio Santamaría; Gustau Camps-Valls; Tolga Birdal (CVPR, 2025)

Learning Causal Response Representations through Direct Effect Analysis. - Homer Durand; Gherardo Varando; Gustau Camps-Valls (UAI, 2025)

Calibration and uncertainty quantification for deep learning-based drought detection. - Mengxue Zhang; Miguel-Ángel Fernández-Torres; Kai-Hendrik Cohrs; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Large language models for causal hypothesis generation in science. - Kai-Hendrik Cohrs; Emiliano Diaz; Vasileios Sitokonstantinou; Gherardo Varando; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2025)

Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning. - Jessenia Gonzalez; Sudhakar Dipu; Odran Sourdeval; Alexandre Siméon; Gustau Camps-Valls; Johannes Quaas (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Dynamics of Masked Image Modeling in Hyperspectral Image Classification. - Chen Ma; Huayi Li; Junjun Jiang; César Aybar; Jiaqi Yao; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2025)

Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval. - Paolo Pelucchi; Jorge Vicent Servera; Philip Stier; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2025)

UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction. - Chenyu Li 002; Danfeng Hong; Bing Zhang 001; Yuxuan Li; Gustau Camps-Valls; Xiao Xiang Zhu 001; Jocelyn Chanussot (CoRR, 2025)

Estimating Information Theoretic Measures via Multidimensional Gaussianization. - Valero Laparra; Juan Emmanuel Johnson; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesús Malo (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

On the Generalization of Representation Uncertainty in Earth Observation. - Spyros Kondylatos; Nikolaos-Ioannis Bountos; Dimitrios Michail 001; Xiao Xiang Zhu 001; Gustau Camps-Valls; Ioannis Papoutsis (CoRR, 2025)

Probabilistic Machine Learning for Noisy Labels in Earth Observation. - Spyros Kondylatos; Nikolaos-Ioannis Bountos; Ioannis Prapas; Angelos Zavras; Gustau Camps-Valls; Ioannis Papoutsis (CoRR, 2025)

A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data. - Jose Manuel Aroca-Fernandez; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Victor Elvira; Gustau Camps-Valls; Rodrigo Pascual; César Ignacio García-Osorio (CoRR, 2025)

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals. - Pedram Ghamisi; Weikang Yu; Xiaokang Zhang; Aldino Rizaldy; Jian Wang; Chufeng Zhou; Richard Gloaguen; Gustau Camps-Valls (CoRR, 2025)

Video Compression for Spatiotemporal Earth System Data. - Oscar J. Pellicer-Valero; César Aybar; Gustau Camps-Valls (CoRR, 2025)