Books and book chapters

Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences

Camps-Valls G., Tuia D., Zhu X. and Reichstein M.
2021
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Machine Learning Methods for Spatial and Temporal Parameter Estimation

Moreno-Martínez Á., Piles M., Muñoz-Marí J., Campos-Taberner M., Adsuara J., Mateo A., Pérez-Suay A., García-Haro F. and Camps-Valls G.
Hyperspectral Image Analysis – Advances in Machine Learning and Signal Processing, …, 2020

Perspective on Deep Learning for Earth Sciences

Camps-Valls G.
Hyperspectral Imaging, 333–368, 2020

Learning Unsupervised Feature Representations of Remote Sensing Data with Sparse Convolutional Networks

Adsuara J., Campos-Taberner M., García-Haro J., Gatta C., Romero A. and Camps-Valls G.
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, 13–23, 2021

Generative Adversarial Networks in the Geosciences

Mateo-García G., Laparra V., Requena-Mesa C. and Gómez-Chova L.
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, 24–36, 2021

Perspective on Deep Learning for Earth Sciences

Camps-Valls G.
Generalization with Deep Learning: for Improvement on Sensing Capability, 159–173, 2021

Combining system modeling and machine learning into hybrid ecosystem modeling

Reichstein M., Ahrens B., Kraft B., Camps-Valls G., Carvalhais N., Gans F., Gentine P. and Winkler A.
Science-guided Machine Learning: Emerging Trends in Combining Scientific Knowledge with Data-driven Methods, 2021

Intelligent Learning Management Systems: Overview and Application in Mathematics Education

Van Vaerenbergh S. and Pérez-Suay A.
Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions, 206–232, 2022

Statistical biophysical parameter retrieval and emulation with Gaussian processes

Camps-Valls G., Gómez-Chova L., Laparra V., Martino L., Mateo-García G., Muñoz-Marí J., Svendsen D. and Verrelst J.
Hyperspectral Imaging, 32, 333–368, 2020
URL DOI

Machine Learning Methods for Spatial and Temporal Parameter Estimation

Moreno-Martínez Á., Piles M., Muñoz-Marí J., Campos-Taberner M., Adsuara J., Mateo A., Pérez-Suay A., García-Haro F. and Camps-Valls G.
Hyperspectral Image Analysis - Advances in Machine Learning and Signal Processing: In Series `Advances in Computer Vision and Pattern Recognition', 2020

Quantitative land vegetation products of imaging spectroscopy: a review on retrieval methods

Verrelst J., Malenovsky Z., Tol C., Camps-Valls G., Gastellu-Etchegorry J., Lewis P., North P. and Moreno J.
2018

Feature extraction in Earth Observation Data Processing

Izquierdo E., Laparra V., Muñoz-Marí J., Gómez-Chova L. and Camps-Valls G.
Comprehensive Remote Sensing, 2017

Metropolis Sampling

Martino L. and Elvira V.
Wiley StatsRef: Statistics Reference Online, 2017
DOI

Mathematical Models for Remote Sensing Image Processing: Models and Methods for the Analysis of 2D Satellite and Aerial Images

Moser G. and Zerubia J.
2017

Digital Signal Processing with Kernel Methods

Rojo-Álvarez J., Martínez-Ramón M., Muñoz-Marí J. and Camps-Valls G.
2018
URL Code

Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

Tuia D., Volpi M., Verrelst J. and Camps-Valls G.
Mathematical Models for Remote Sensing Image Processing: Models and Methods for the Analysis of 2D Satellite and Aerial Images, 1, 1–1, 2017

Interactive Pansharpening and Active Classification in Remote Sensing

Ruiz P., Mateos J., Camps-Valls G., Molina R. and Katsaggelos A.
Multimodal Interaction in Image and Video Applications, 48, 67–81, 2013
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Remote Sensing Image Processing

Camps-Valls G., Tuia D., Gómez-Chova L., Jiménez S. and Malo J.
2011

A Review of Kernel Methods in Remote Sensing Data Analysis

Gómez-Chova L., Muñoz-Marí J., Laparra V., Malo-López J. and Camps-Valls G.
Optical Remote Sensing – Advances in Signal Processing and Exploitation Techniques, 3, 171–206, 2011
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A Review of Kernel Methods in ECG Signal Classification

Rojo-Álvarez J., Camps-Valls G., Caamaño-Fernández F. and Guerrero-Martínez J.
ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence, Germany, 194–218, 2011

Bioinformatics and Computational Biology

Camps-Valls G. and Chalk A.
Encyclopedia of Data Warehousing and Mining (2 Volumes), 2nd edition, Hershey, PA (USA), 2009
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An Introduction to Kernel Methods

Camps-Valls G., Martínez-Ramón M. and Rojo-Álvarez J.
Encyclopedia of Data Warehousing and Mining (2 Volumes), 2nd edition, Hershey, PA (USA), 2009
URL

Applications of Kernel Methods

Camps-Valls G., Martínez-Ramón M. and Rojo-Álvarez J.
Encyclopedia of Data Warehousing and Mining (2 Volumes), 2nd edition, Hershey, PA (USA), 2009
URL

Kernel methods for Remote Sensing Data Analysis

Camps-Valls G. and Bruzzone L.
2009

Kernel Mean for Semi-supervised Remote Sensing Image Classification

Gómez-Chova L., Calpe-Maravilla J., Bruzzone L. and Camps-Valls G.
Kernel methods for Remote Sensing Data Analysis, UK, 2009

Parallel Implementation of SVM in Earth Observation Applications

Muñoz J., Plaza A., Gualtieri J. and Camps-Valls G.
Parallel Programming and Applications in Grid, P2P and Networking systems, UK, 292–312, 2009

Multi-temporal Image Classification and Change Detection with Kernels

Muñoz-Marí J., Gómez-Chova L., Calpe-Maravilla J. and Camps-Valls G.
Kernel methods for Remote Sensing Data Analysis, UK, 2009

Hybrid Genetic Algorithms in Data Mining Applications

Salcedo S., Camps-Valls G. and Bousoño-Calzón C.
Encyclopedia of Data Warehousing and Mining (2 Volumes), 2nd edition, Hershey, PA (USA), 2009
URL

Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks

Camps-Valls G. and Rodrigo-González A.
Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, Germany, 307–326, 2008

Kernel Machines in Remote Sensing Image Classification

Camps-Valls G., Muñoz-Marí J., Gómez-Chova L. and Calpe-Maravilla J.
Intelligent Systems: Techniques and Applications, Maastrich, The Netherlands, 199–222, 2008

Learning the Relevant Features of Ventricular Fibrillation from Automatic Detection Algorithms

Alonso-Atienza F., Rosado-Muñoz A., Rojo-Álvarez J. and Camps-Valls G.
Intelligent Systems: Techniques and Applications, Maastrich, The Netherlands, 505–534, 2008

Hyperspectral Image Classification with Kernels

Bruzzone L., Gómez-Chova L., Marconcini M. and Camps-Valls G.
Kernel Methods in Bioengineering, Signal and Image Processing, Hershey, PA (USA), 2007
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Kernel Methods in Bioengineering, Signal and Image Processing

Camps-Valls G., Rojo-Álvarez J. and Martínez-Ramón M.
2007

Perceptual Image Representations for Support Vector Machine Image Coding

Gutiérrez J., Gómez-Pérez G., Malo J. and Camps-Valls G.
Kernel Methods in Bioengineering, Signal and Image Processing, Hershey, PA (USA), 2007
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Discrete time signal processing framework with Support Vector Machines

Rojo-Álvarez J., Martínez-Ramón M., and Camps-Valls G., Martínez C. and Figuera C.
Kernel Methods in Bioengineering, Signal and Image Processing, Hershey, PA (USA), 2007
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Neural Networks in ECG classification: what is next in adaptive systems?

Camps-Valls G. and Guerrero-Martínez J.
Neural Networks in Healthcare: Potential and Challenges, Hershey, PA, USA, 81–104, 2006
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Neural and kernel methods for Therapeutic Drug Monitoring

Camps-Valls G. and Martín-Guerrero J.
Neural Networks in Healthcare: Potential and Challenges, Hershey, PA, USA, 231–268, 2006
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Hyperspectral Kernel Classifiers

Camps-Valls G., Gómez-Chova L., Calpe-Maravilla J., Muñoz-Marí J., Martín-Guerrero J., Alonso-Chordá L. and Moreno J.
Pattern Recognition: Progress, Directions and Applications, Barcelona, Spain, 75–94, 2006