Gustau Camps-Valls

According to our database1, Gustau Camps-Valls authored at least 243 papers between 2001 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to machine learning in remote sensing".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models.
IEEE Trans. Geoscience and Remote Sensing, 2019

Causal Inference in Geoscience and Remote Sensing From Observational Data.
IEEE Trans. Geoscience and Remote Sensing, 2019

Kernel Anomalous Change Detection for Remote Sensing Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2019

Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data.
IEEE Trans. Geoscience and Remote Sensing, 2019

Foreword to the Special Issue on IGARSS 2018.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2019

2018
Joint Gaussian Processes for Biophysical Parameter Retrieval.
IEEE Trans. Geoscience and Remote Sensing, 2018

Remote Sensing Image Classification With Large-Scale Gaussian Processes.
IEEE Trans. Geoscience and Remote Sensing, 2018

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data.
Remote Sensing, 2018

Multitemporal Cloud Masking in the Google Earth Engine.
Remote Sensing, 2018

Global Estimation of Biophysical Variables from Google Earth Engine Platform.
Remote Sensing, 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.
Remote Sensing, 2018

Signal-to-noise ratio in reproducing kernel Hilbert spaces.
Pattern Recognition Letters, 2018

Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference.
IEEE Geosci. Remote Sensing Lett., 2018

Group Importance Sampling for particle filtering and MCMC.
Digital Signal Processing, 2018

The Recycling Gibbs sampler for efficient learning.
Digital Signal Processing, 2018

The FLUXCOM ensemble of global land-atmosphere energy fluxes.
CoRR, 2018

Sensitivity maps of the Hilbert-Schmidt independence criterion.
Appl. Soft Comput., 2018

Physics-aware Gaussian processes in remote sensing.
Appl. Soft Comput., 2018

Assessing the relationship between microwave vegetation optical depth and gross primary production.
Int. J. Applied Earth Observation and Geoinformation, 2018

Distributed Particle Metropolis-Hastings Schemes.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Statistical Learning For End-To-End Simulations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Deep Network Approach to Multitemporal Cloud Detection.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multioutput Automatic Emulator for Radiative Transfer Models.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Deep Gaussian Processes for Geophysical Parameter Retrieval.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Retrieval of Case 2 Water Quality Parameters with Machine Learning.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Sparsity-Driven Digital Terrain Model Extraction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Randomized RX for Target Detection.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Interpolation and Gap Filling of Landsat Reflectance Time Series.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Nonlinear Cook Distance for Anomalous Change Detection.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Consistent Regression of Biophysical Parameters with Kernel Methods.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Optimized Kernel Entropy Components.
IEEE Trans. Neural Netw. Learning Syst., 2017

Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression.
IEEE Trans. Geoscience and Remote Sensing, 2017

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra.
Remote Sensing, 2017

Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index.
Remote Sensing, 2017

Compensatory water effects link yearly global land CO2 sink changes to temperature.
Nature, 2017

Nonlinear Time-Series Adaptation for Land Cover Classification.
IEEE Geosci. Remote Sensing Lett., 2017

Computer Science Meets Ecology (Dagstuhl Seminar 17091).
Dagstuhl Reports, 2017

Joint Gaussian Processes for Biophysical Parameter Retrieval.
CoRR, 2017

Remote Sensing Image Classification with Large Scale Gaussian Processes.
CoRR, 2017

Group Importance Sampling for Particle Filtering and MCMC.
CoRR, 2017

Automatic Emulation by Adaptive Relevance Vector Machines.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Physics-Aware Gaussian Processes for Earth Observation.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Fair Kernel Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Joint Gaussian processes for inverse modeling.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Retrieval of coloured dissolved organic matter with machine learning methods.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Causal inference in geosciences with kernel sensitivity maps.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Efficient remote sensing image classification with Gaussian processes and Fourier features.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Convolutional neural networks for multispectral image cloud masking.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Automatic emulator and optimized look-up table generation for radiative transfer models.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Spatial noise-aware temperature retrieval from infrared sounder data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Nonlinear statistical retrieval of surface emissivity from IASI data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Cloud detection machine learning algorithms for PROBA-V.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Predicting year of plantation with hyperspectral and lidar data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Passive millimeter wave image classification with large scale Gaussian processes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Probabilistic cross-validation estimators for Gaussian process regression.
Proceedings of the 25th European Signal Processing Conference, 2017

Group metropolis sampling.
Proceedings of the 25th European Signal Processing Conference, 2017

Recycling Gibbs sampling.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2016

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2016

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis.
Remote Sensing, 2016

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval.
IEEE Geosci. Remote Sensing Lett., 2016

The Recycling Gibbs Sampler for Efficient Learning.
CoRR, 2016

Dimensionality Reduction via Regression in Hyperspectral Imagery.
CoRR, 2016

Image Denoising with Kernels based on Natural Image Relations.
CoRR, 2016

Optimized Kernel Entropy Components.
CoRR, 2016

Spectral band selection for vegetation properties retrieval using Gaussian processes regression.
Int. J. Applied Earth Observation and Geoinformation, 2016

Latent force models for earth observation time series prediction.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning.
Remote Sensing, 2015

Multimodal Classification of Remote Sensing Images: A Review and Future Directions.
Proceedings of the IEEE, 2015

Mapping Leaf Area Index With a Smartphone and Gaussian Processes.
IEEE Geosci. Remote Sensing Lett., 2015

Dimensionality Reduction via Regression in Hyperspectral Imagery.
J. Sel. Topics Signal Processing, 2015

Spectral clustering with the probabilistic cluster kernel.
Neurocomputing, 2015

Kernel Manifold Alignment.
CoRR, 2015

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification.
CoRR, 2015

Learning Structures in Earth Observation Data with Gaussian Processes.
Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Capturing Time-structures in Earth Observation Data with Gaussian Processes (abstract).
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Replacing radiative transfer models by surrogate approximations through machine learning.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Biophysical parameter retrieval with warped Gaussian processes.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Large-scale random features for kernel regression.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Weakly supervised alignment of multisensor images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Operational cloud screening service for Sentinel-2 image time series.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Ranking drivers of global carbon and energy fluxes over land.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Support vector machines in engineering: an overview.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Neural Netw. Learning Syst., 2014

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images.
IEEE Trans. Geoscience and Remote Sensing, 2014

Bayesian Active Remote Sensing Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2014

Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis.
IEEE Trans. Geoscience and Remote Sensing, 2014

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods.
IEEE Signal Process. Mag., 2014

Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes.
IEEE Geosci. Remote Sensing Lett., 2014

Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes.
IEEE Geosci. Remote Sensing Lett., 2014

Principal Polynomial Analysis.
Int. J. Neural Syst., 2014

A unified SVM framework for signal estimation.
Digital Signal Processing, 2014

Unsupervised deep feature extraction of hyperspectral images.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Prelaunch assessment of worldview-3 information content.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

A family of kernel anomaly change detectors.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Dimensionality reduction via regression on hyperspectral infrared sounding data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Spectral adaptation of hyperspectral flight lines using VHR contextual information.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Unsupervised Alignment of Image Manifolds with Centrality Measures.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Lossless coding of hyperspectral images with principal polynomial analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Interactive Pansharpening and Active Classification in Remote Sensing.
Proceedings of the Multimodal Interaction in Image and Video Applications, 2013

Multitask Remote Sensing Data Classification.
IEEE Trans. Geoscience and Remote Sensing, 2013

Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2013

Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods.
IEEE Signal Process. Mag., 2013

Encoding Invariances in Remote Sensing Image Classification With SVM.
IEEE Geosci. Remote Sensing Lett., 2013

Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods.
CoRR, 2013

On the Suitable Domain for SVM Training in Image Coding.
CoRR, 2013

Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods.
CoRR, 2013

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring.
Int. J. Applied Earth Observation and Geoinformation, 2013

Multiset Kernel CCA for multitemporal image classification.
Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013

A kernel regression approach to cloud and shadow detection in multitemporal images.
Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013

Multi-sensor change detection based on nonlinear canonical correlations.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Kernel Structural SIMIlarity on hyperspectral images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Domain adaptation with Hidden Markov Random Fields.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Advances in synergy of AATSR-MERIS sensors for cloud detection.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Kernel change discriminant analysis for multitemporal cloud masking.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Large Margin Filtering.
IEEE Trans. Signal Processing, 2012

Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques.
IEEE Trans. Geoscience and Remote Sensing, 2012

Semisupervised Classification of Remote Sensing Images With Active Queries.
IEEE Trans. Geoscience and Remote Sensing, 2012

Nonlinear Statistical Retrieval of Atmospheric Profiles From MetOp-IASI and MTG-IRS Infrared Sounding Data.
IEEE Trans. Geoscience and Remote Sensing, 2012

Remote sensing image segmentation by active queries.
Pattern Recognition, 2012

Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis.
Neural Computation, 2012

Unsupervised Change Detection With Kernels.
IEEE Geosci. Remote Sensing Lett., 2012

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection.
Expert Syst. Appl., 2012

Preface.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Nonlinear data description with Principal Polynomial Analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Semisupervised kernel orthonormalized partial least squares.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Learning with the kernel signal to noise ratio.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Including invariances in SVM remote sensing image classification.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Semisupervised nonlinear feature extraction for image classification.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Discovering single classes in remote sensing images with active learning.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Remote Sensing Image Processing
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, 2011

Structured Output SVM for Remote Sensing Image Classification.
Signal Processing Systems, 2011

Iterative Gaussianization: From ICA to Random Rotations.
IEEE Trans. Neural Networks, 2011

Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping.
IEEE Trans. Geoscience and Remote Sensing, 2011

Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study.
IEEE Trans. Geoscience and Remote Sensing, 2011

Urban Image Classification With Semisupervised Multiscale Cluster Kernels.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2011

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation.
IEEE Geosci. Remote Sensing Lett., 2011

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing.
IEEE Geosci. Remote Sensing Lett., 2011

Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion.
IEEE Geosci. Remote Sensing Lett., 2011

Introduction to the Issue on Advances in Remote Sensing Image Processing.
J. Sel. Topics Signal Processing, 2011

Unsupervised change detection in the feature space using kernels.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Large scale semi-supervised image segmentation with active queries.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Kernel image similarity criterion.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Principal polynomial analysis for remote sensing data processing.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Explicit signal to noise ratio in reproducing kernel Hilbert spaces.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Kernel entropy component analysis in remote sensing data clustering.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Kernel-based retrieval of atmospheric profiles from IASI data.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Explicit recursivity into reproducing kernel Hilbert spaces.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Learning Relevant Image Features With Multiple-Kernel Classification.
IEEE Trans. Geoscience and Remote Sensing, 2010

Semisupervised Neural Networks for Efficient Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2010

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data.
IEEE Trans. Geoscience and Remote Sensing, 2010

Mean Map Kernel Methods for Semisupervised Cloud Classification.
IEEE Trans. Geoscience and Remote Sensing, 2010

A support vector domain method for change detection in multitemporal images.
Pattern Recognition Letters, 2010

Multisource Composite Kernels for Urban-Image Classification.
IEEE Geosci. Remote Sensing Lett., 2010

Spatio-Spectral Remote Sensing Image Classification With Graph Kernels.
IEEE Geosci. Remote Sensing Lett., 2010

Remote Sensing Feature Selection by Kernel Dependence Measures.
IEEE Geosci. Remote Sensing Lett., 2010

Image Denoising with Kernels Based on Natural Image Relations.
J. Mach. Learn. Res., 2010

Cluster-based active learning for compact image classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Estimating biophysical variable dependences with kernels.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Multi-resolution spatial unmixing for MERIS and Landsat image fusion.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Parallel Implementations of SVM for Earth Observation.
Proceedings of the Parallel Programming, Models and Applications in Grid and P2P Systems., 2009

Hybrid Genetic Algorithms in Data Mining Applications.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

An Introduction to Kernel Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Applications of Kernel Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Bioinformatics and Computational Biology.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Target Detection With Semisupervised Kernel Orthogonal Subspace Projection.
IEEE Trans. Geoscience and Remote Sensing, 2009

Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis.
IEEE Trans. Geoscience and Remote Sensing, 2009

Semisupervised Remote Sensing Image Classification With Cluster Kernels.
IEEE Geosci. Remote Sensing Lett., 2009

A Composite Semisupervised SVM for Classification of Hyperspectral Images.
IEEE Geosci. Remote Sensing Lett., 2009

Biophysical Parameter Estimation With a Semisupervised Support Vector Machine.
IEEE Geosci. Remote Sensing Lett., 2009

Learning non-linear time-scales with kernel gamma-filters.
Neurocomputing, 2009

Semi-supervised Kernel Target Detection in Hyperspectral Images.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Learning the Relevant Image Features with Multiple Kernels.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Cloud Screening with Combined MERIS and AATSR Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Biophysical Parameter Estimation with Adaptive Gaussian Processes.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Recent advances in remote sensing image processing.
Proceedings of the International Conference on Image Processing, 2009

PCA Gaussianization for image processing.
Proceedings of the International Conference on Image Processing, 2009

2008
Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks.
Proceedings of the Speech, 2008

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection.
IEEE Trans. Geoscience and Remote Sensing, 2008

Efficient Kernel Orthonormalized PLS for Remote Sensing Applications.
IEEE Trans. Geoscience and Remote Sensing, 2008

Semisupervised Image Classification With Laplacian Support Vector Machines.
IEEE Geosci. Remote Sensing Lett., 2008

On the Suitable Domain for SVM Training in Image Coding.
J. Mach. Learn. Res., 2008

Sparse Deconvolution Using Support Vector Machines.
EURASIP J. Adv. Sig. Proc., 2008

Semi-Supervised Remote Sensing Image Classification based on Clustering and the Mean Map Kernel.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Semi-Supervised Kernel Orthogonal Subspace Projection.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Semi-Supervised Support Vector Biophysical Parameter Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Recovering wavelet relations using SVM for image denoising.
Proceedings of the International Conference on Image Processing, 2008

Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2007
Nonuniform Interpolation of Noisy Signals Using Support Vector Machines.
IEEE Trans. Signal Processing, 2007

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2007

A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images.
IEEE Trans. Geoscience and Remote Sensing, 2007

Cloud-Screening Algorithm for ENVISAT/MERIS Multispectral Images.
IEEE Trans. Geoscience and Remote Sensing, 2007

Semi-Supervised Graph-Based Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2007

Nonlinear System Identification With Composite Relevance Vector Machines.
IEEE Signal Process. Lett., 2007

Statistical criteria for early-stopping of support vector machines.
Neurocomputing, 2007

Combination of one-class remote sensing image classifiers.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Feature extraction from remote sensing data using Kernel Orthonormalized PLS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Semi-supervised cloud screening with Laplacian SVM.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Hyperspectral image classification with mahalanobis relevance vector machines.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006
Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks, 2006

Non-linear RLS-based algorithm for pattern classification.
Signal Processing, 2006

Urban monitoring using multi-temporal SAR and multi-spectral data.
Pattern Recognition Letters, 2006

Composite kernels for hyperspectral image classification.
IEEE Geosci. Remote Sensing Lett., 2006

Robust support vector regression for biophysical variable estimation from remotely sensed images.
IEEE Geosci. Remote Sensing Lett., 2006

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function.
Neurocomputing, 2006

Enhancing decision-based neural networks through local competition.
Neurocomputing, 2006

Advanced Processing of Hyperspectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Bootstrap feature selection in support vector machines for ventricular fibrillation detection.
Proceedings of the ESANN 2006, 2006

2005
Perceptual adaptive insensitivity for support vector machine image coding.
IEEE Trans. Neural Networks, 2005

Kernel-based methods for hyperspectral image classification.
IEEE Trans. Geoscience and Remote Sensing, 2005

Support vector machines framework for linear signal processing.
Signal Processing, 2005

2004
Enhancing genetic feature selection through restricted search and Walsh analysis.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2004

Robust support vector method for hyperspectral data classification and knowledge discovery.
IEEE Trans. Geoscience and Remote Sensing, 2004

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants.
IEEE Trans. Education, 2004

Fuzzy sigmoid kernel for support vector classifiers.
Neurocomputing, 2004

Robust gamma-filter using support vector machines.
Neurocomputing, 2004

Profiled support vector machines for antisense oligonucleotide efficacy prediction.
BMC Bioinformatics, 2004

Foetal ECG recovery using dynamic neural networks.
Artificial Intelligence in Medicine, 2004

Regularized RBF Networks for Hyperspectral Data Classification.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2004

2003
A low-complexity fuzzy activation function for artificial neural networks.
IEEE Trans. Neural Networks, 2003

Dosage individualization of erythropoietin using a profile-dependent support vector regression.
IEEE Trans. Biomed. Engineering, 2003

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.
IEEE Trans. Biomed. Engineering, 2003

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.
Comp. in Bio. and Med., 2003

CART-based feature selection of hyperspectral images for crop cover classification.
Proceedings of the 2003 International Conference on Image Processing, 2003

Support Vector Machines for Crop Classification Using Hyperspectral Data.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Multi-dimensional Function Approximation and Regression Estimation.
Proceedings of the Artificial Neural Networks, 2002

2001
Some Examples for Solving Clinical Problems Using Neural Networks.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Neural Networks Ensemble for Cyclosporine Concentration Monitoring.
Proceedings of the Artificial Neural Networks, 2001


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