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ORCIDGustau Camps-Valls
Gustavo Camps-Valls
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- affiliation: Image Processing Laboratory, Parc Científic Universitat de València, València, Spain
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2020 – today
- 2024
[j151]Gherardo Varando
, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls:
Pairwise causal discovery with support measure machines. Appl. Soft Comput. 150: 111030 (2024)- [j150]Dongyu Zheng, Hanting Zhong, Gustau Camps-Valls, Zhisong Cao, Xiaogang Ma, Benjamin Mills, Xiumian Hu, Mingcai Hou, Chao Ma:
Explainable deep learning for automatic rock classification. Comput. Geosci. 184: 105511 (2024) - [j149]Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera Caicedo, Gustau Camps-Valls:
Multioutput Feature Selection for Emulation and Sensitivity Analysis. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [c127]Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal:
Fun with Flags: Robust Principal Directions via Flag Manifolds. CVPR 2024: 330-340 - [c126]Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls:
Assessing the Causal Impact of Humanitarian Aid on Food Security. IGARSS 2024: 1546-1552 - [c125]José María Tárraga, María Piles, Eleni Kamateri, Eva Sevillano Marco, Ioannis Tsampoulatidis, Jordi Muñoz-Marí, Gustau Camps-Valls:
Drought Displacement Forecasts Can Be Improved With Twitter Data. IGARSS 2024: 3984-3987 - [c124]José Manuel Aroca, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Antonio Canepa-Oneto, Juan Carlos Rad, Gustau Camps-Valls, Víctor Elvira, César García-Osorio:
WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. IGARSS 2024: 3992-3996 - [c123]Wei Ding, Gustau Camps-Valls:
Overview of ACM SIGKDD 2024 AI4Science4AI Special Day. KDD 2024: 6693-6694 - [i86]Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal:
Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR abs/2401.04071 (2024) - [i85]Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls:
Double machine learning for causal hybrid modeling - applications in the Earth sciences. CoRR abs/2402.13332 (2024) - [i84]Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls:
Improving generalisation via anchor multivariate analysis. CoRR abs/2403.01865 (2024) - [i83]Shan Zhao, Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, Ioannis Papoutsis, Gustau Camps-Valls, Xiao Xiang Zhu:
Causal Graph Neural Networks for Wildfire Danger Prediction. CoRR abs/2403.08414 (2024) - [i82]Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando, Gustau Camps-Valls:
Recovering Latent Confounders from High-dimensional Proxy Variables. CoRR abs/2403.14228 (2024) - [i81]Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu:
Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR abs/2403.15356 (2024) - [i80]Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls:
Large Language Models for Constrained-Based Causal Discovery. CoRR abs/2406.07378 (2024) - [i79]Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Angel Fernandez-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha:
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. CoRR abs/2406.18179 (2024) - [i78]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, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams:
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR abs/2406.20080 (2024) - [i77]David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha:
Earth System Data Cubes: Avenues for advancing Earth system research. CoRR abs/2408.02348 (2024) - [i76]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:
Causal machine learning for sustainable agroecosystems. CoRR abs/2408.13155 (2024) - 2023
- [j148]Michele Ronco, Gustau Camps-Valls:
Role of locality, fidelity and symmetry regularization in learning explainable representations. Neurocomputing 562: 126884 (2023) - [j147]Mehmet Furkan Celik, Mustafa Serkan Isik, Gülsen Taskin, Esra Erten, Gustau Camps-Valls:
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j146]Anna Mateo-Sanchis, José E. Adsuara, Maria Piles, Jordi Muñoz-Marí, Adrian Perez-Suay, Gustau Camps-Valls:
Interpretable Long Short-Term Memory Networks for Crop Yield Estimation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j145]Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls:
Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. 112(3): 921-937 (2023) - [j144]Emiliano Diaz, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls:
Learning latent functions for causal discovery. Mach. Learn. Sci. Technol. 4(3): 35004 (2023) - [j143]Arndt Kaps, Axel Lauer, Gustau Camps-Valls, Pierre Gentine, Luis Gómez-Chova, Veronika Eyring:
Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j142]Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls:
Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j141]Gülsen Taskin, Emrullah Fatih Yetkin, Gustau Camps-Valls:
A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j140]Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls:
Fair Kernel Regression through Cross-Covariance Operators. Trans. Mach. Learn. Res. 2023 (2023) - [c122]Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis:
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. ICCV (Workshops) 2023: 3756-3761 - [c121]Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gustau Camps-Valls:
Explainability of End and Mid-Season Cotton Yield Predictors In Conus. IGARSS 2023: 3538-3541 - [c120]Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis:
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. NeurIPS 2023 - [d5]Diego Bueso, Maria Piles, Gustau Camps-Valls, Álvaro Moreno-Martínez:
Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes. Zenodo, 2023
- [d4]Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
Understanding cirrus clouds using explainable machine learning. Version 1.0. Zenodo, 2023 [all versions] - [d3]Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
Understanding cirrus clouds using explainable machine learning. Version 2.0. Zenodo, 2023 [all versions] - [d2]Michele Ronco, José María Tárraga, Jordi Muñoz-Marí, Maria Piles, Eva Sevillano Marco, Qiang Wang, Maria Teresa Miranda Espinosa, Sylvain Ponserre, Gustau Camps-Valls:
Exploring interactions between socioeconomic context and natural hazards on human population displacement. Zenodo, 2023 - [d1]Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls:
Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. Zenodo, 2023 - [i75]Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
Understanding cirrus clouds using explainable machine learning. CoRR abs/2305.02090 (2023) - [i74]Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider:
Artificial intelligence to advance Earth observation: a perspective. CoRR abs/2305.08413 (2023) - [i73]Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge:
Discovering Causal Relations and Equations from Data. CoRR abs/2305.13341 (2023) - [i72]Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis:
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. CoRR abs/2306.05144 (2023) - [i71]Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis:
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. CoRR abs/2306.10940 (2023) - [i70]Víctor Elvira, Emilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls:
Graphs in State-Space Models for Granger Causality in Climate Science. CoRR abs/2307.10703 (2023) - [i69]Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls:
Evaluating the Impact of Humanitarian Aid on Food Security. CoRR abs/2310.11287 (2023) - [i68]Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis Athanasiadis:
Causality and Explainability for Trustworthy Integrated Pest Management. CoRR abs/2312.04343 (2023) - 2022
- [j139]Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls:
Learning Relevant Features of Optical Water Types. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j138]Zhu Li, Adrián Pérez-Suay, Gustau Camps-Valls, Dino Sejdinovic:
Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness. Pattern Recognit. 132: 108922 (2022) - [j137]Gustau Camps-Valls, Manuel Campos-Taberner, Valero Laparra, Luca Martino, Jordi Muñoz-Marí:
Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j136]José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls:
Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j135]María Piles, Jordi Muñoz-Marí, Alicia Guerrero-Curieses, Gustau Camps-Valls, José Luis Rojo-Álvarez:
Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j134]Jorge Vicent Servera, Juan Pablo Rivera Caicedo, Jochem Verrelst, Jordi Muñoz-Marí, Neus Sabater, Béatrice Berthelot, Gustau Camps-Valls, José F. Moreno:
Systematic Assessment of MODTRAN Emulators for Atmospheric Correction. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j133]Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls:
Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j132]Gülsen Taskin, Gustau Camps-Valls:
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c119]Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
The Kernelized Taylor Diagram. NAIS 2022: 125-131 - [e1]Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera:
International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Proceedings of Machine Learning Research 151, PMLR 2022 [contents] - [i67]Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno, Gustau Camps-Valls:
Inference over radiative transfer models using variational and expectation maximization methods. CoRR abs/2204.03346 (2022) - [i66]José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls:
Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. CoRR abs/2204.05699 (2022) - [i65]Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
The Kernelized Taylor Diagram. CoRR abs/2205.08864 (2022) - [i64]Diego Bueso, Maria Piles, Gustavo Camps-Valls:
Let's consider more general nonlinear approaches to study teleconnections of climate variables. CoRR abs/2212.07635 (2022) - 2021
- [j131]Anna Mateo-Sanchis, Maria Piles, Julia Amorós-López, Jordi Muñoz-Marí, José E. Adsuara, Álvaro Moreno-Martínez, Gustau Camps-Valls:
Learning main drivers of crop progress and failure in Europe with interpretable machine learning. Int. J. Appl. Earth Obs. Geoinformation 104: 102574 (2021) - [j130]Fernando Llorente, Luca Martino, David Delgado-Gómez, Gustavo Camps-Valls:
Deep importance sampling based on regression for model inversion and emulation. Digit. Signal Process. 116: 103104 (2021) - [j129]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Efficient Nonlinear RX Anomaly Detectors. IEEE Geosci. Remote. Sens. Lett. 18(2): 231-235 (2021) - [j128]Laura Martínez-Ferrer, Maria Piles, Gustau Camps-Valls:
Crop Yield Estimation and Interpretability With Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 18(12): 2043-2047 (2021) - [j127]Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls:
Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2607-2621 (2021) - [c118]Maria Piles, Anna Mateo-Sanchis, Jordi Muñoz-Marí, Gustau Camps-Valls, François Waldner, Felix Rembold, Michele Meroni:
Global Cropland Yield Monitoring with Gaussian Processes. IGARSS 2021: 180-183 - [c117]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:
Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. IGARSS 2021: 309-312 - [c116]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:
Physics-Aware Machine Learning for Geosciences and Remote Sensing. IGARSS 2021: 2086-2089 - [c115]Roberto Fernandez-Moran, María Piles, Gustau Camps-Valls, Jean-Pierre Wigneron, Xiaojun Li, Mengjia Wang, Lei Fan, Amen Al-Yaari, Luis Gómez-Chova:
Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm. IGARSS 2021: 6221-6224 - [p4]Gustau Camps-Valls:
Perspective on Deep Learning for Earth Sciences. Generalization with Deep Learning 2021: 159-173 - [i63]Ana B. Ruescas, Martin Hieronymi, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls:
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods. CoRR abs/2101.02505 (2021) - [i62]Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls:
Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR abs/2104.05107 (2021) - [i61]Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls:
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR abs/2104.07803 (2021) - [i60]Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls:
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. CoRR abs/2104.08134 (2021) - [i59]Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. CoRR abs/2104.10638 (2021) - [i58]Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls:
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR abs/2107.08465 (2021) - [i57]Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais:
Deep Learning Methods for Daily Wildfire Danger Forecasting. CoRR abs/2111.02736 (2021) - [i56]Gülsen Taskin, Gustau Camps-Valls:
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. CoRR abs/2111.14680 (2021) - [i55]Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls:
Deep Learning and Earth Observation to Support the Sustainable Development Goals. CoRR abs/2112.11367 (2021) - 2020
- [j126]Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls:
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. Int. J. Appl. Earth Obs. Geoinformation 92: 102174 (2020) - [j125]Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Inf. Fusion 63: 256-272 (2020) - [j124]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. 17(3): 391-395 (2020) - [j123]Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls:
Active emulation of computer codes with Gaussian processes - Application to remote sensing. Pattern Recognit. 100: 107103 (2020) - [j122]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls:
Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5480-5488 (2020) - [j121]Diego Bueso, Maria Piles, Gustau Camps-Valls:
Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data. IEEE Trans. Geosci. Remote. Sens. 58(8): 5752-5763 (2020) - [c114]Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls:
Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. ICASSP 2020: 3577-3581 - [c113]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP 2020: 5865-5869 - [c112]Gülsen Taskin, Gustau Camps-Valls:
Manifold Learning with High Dimensional Model Representations. IGARSS 2020: 1675-1678 - [c111]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, Steven W. Running:
Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. IGARSS 2020: 2320-2323 - [c110]Gustau Camps-Valls, Markus Reichstein, Xiaoxiang Zhu, Devis Tuia:
ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY. IGARSS 2020: 3979-3982 - [c109]Adrián Pérez-Suay, José E. Adsuara, María Piles, Laura Martínez-Ferrer, Emiliano Diaz, Álvaro Moreno-Martínez, Gustau Camps-Valls:
Interpretability of Recurrent Neural Networks in Remote Sensing. IGARSS 2020: 3991-3994 - [c108]José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha:
Discovering Differential Equations from Earth Observation Data. IGARSS 2020: 3999-4002 - [i54]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR abs/2005.09907 (2020) - [i53]Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge, Markus Reichstein:
A Perspective on Gaussian Processes for Earth Observation. CoRR abs/2007.01238 (2020) - [i52]Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls:
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. CoRR abs/2007.14706 (2020) - [i51]Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo:
Information Theory Measures via Multidimensional Gaussianization. CoRR abs/2010.03807 (2020) - [i50]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:
Living in the Physics and Machine Learning Interplay for Earth Observation. CoRR abs/2010.09031 (2020) - [i49]Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls:
Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR abs/2010.10346 (2020) - [i48]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo:
Information Theory in Density Destructors. CoRR abs/2012.01012 (2020) - [i47]Luca Pipia, Jordi Muñoz-Marí, Eatidal Amin, Santiago Belda, Gustau Camps-Valls, Jochem Verrelst:
Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes. CoRR abs/2012.02998 (2020) - [i46]Miguel Morata-Dolz, Diego Bueso, Maria Piles, Gustau Camps-Valls:
Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality. CoRR abs/2012.03338 (2020) - [i45]Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls:
Randomized kernels for large scale Earth observation applications. CoRR abs/2012.03630 (2020) - [i44]Jochem Verrelst, Sara Dethier, Juan Pablo Rivera, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. CoRR abs/2012.04468 (2020) - [i43]Devis Tuia, Diego Marcos, Gustau Camps-Valls:
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR abs/2012.04469 (2020) - [i42]Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi:
Retrieval of Case 2 Water Quality Parameters with Machine Learning. CoRR abs/2012.04495 (2020) - [i41]Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls:
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models. CoRR abs/2012.04598 (2020) - [i40]José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls:
Kernel Anomalous Change Detection for Remote Sensing Imagery. CoRR abs/2012.04920 (2020) - [i39]Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent regression of biophysical parameters with kernel methods. CoRR abs/2012.04922 (2020) - [i38]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR abs/2012.04947 (2020) - [i37]Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls:
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. CoRR abs/2012.05043 (2020) - [i36]Adrián Pérez-Suay, Gustau Camps-Valls:
Causal Inference in Geoscience and Remote Sensing from Observational Data. CoRR abs/2012.05150 (2020) - [i35]Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls:
Convolutional Neural Networks for Multispectral Image Cloud Masking. CoRR abs/2012.05325 (2020) - [i34]Sancho Salcedo-Sanz, Pedram Ghamisi, Maria Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources. CoRR abs/2012.05795 (2020) - [i33]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Efficient Nonlinear RX Anomaly Detectors. CoRR abs/2012.05799 (2020) - [i32]David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. CoRR abs/2012.05839 (2020) - [i31]Anna Mateo-Sanchis, Jordi Muñoz-Marí, Manuel Campos-Taberner, F. Javier García-Haro, Gustau Camps-Valls:
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. CoRR abs/2012.05912 (2020) - [i30]José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls:
Nonlinear Distribution Regression for Remote Sensing Applications. CoRR abs/2012.06377 (2020) - [i29]Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls:
Sparsity-driven Digital Terrain Model Extraction. CoRR abs/2012.08639 (2020) - [i28]Jochem Verrelst, Juan Pablo Rivera, Anatoly A. Gitelson, Jesús Delegido, José F. Moreno, Gustau Camps-Valls:
Spectral band selection for vegetation properties retrieval using Gaussian processes regression. CoRR abs/2012.08640 (2020) - [i27]Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. CoRR abs/2012.10392 (2020) - [i26]Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A deep network approach to multitemporal cloud detection. CoRR abs/2012.10393 (2020) - [i25]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR abs/2012.10395 (2020) - [i24]Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí, Gustau Camps-Valls:
Cloud detection machine learning algorithms for PROBA-V. CoRR abs/2012.10396 (2020) - [i23]Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for geophysical parameter retrieval. CoRR abs/2012.12099 (2020) - [i22]Aleksandra Wolanin, Gustau Camps-Valls, Luis Gómez-Chova, Gonzalo Mateo-García, Christiaan van der Tol, Yongguang Zhang, Luis Guanter:
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations. CoRR abs/2012.12101 (2020) - [i21]Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay, Gustau Camps-Valls:
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. CoRR abs/2012.12105 (2020) - [i20]Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls:
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks. CoRR abs/2012.12306 (2020) - [i19]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook distance for Anomalous Change Detection. CoRR abs/2012.12307 (2020) - [i18]Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for target detection. CoRR abs/2012.12308 (2020) - [i17]Adrián Pérez-Suay, Gustau Camps-Valls:
Causal Inference in Geosciences with Kernel Sensitivity Maps. CoRR abs/2012.14303 (2020)
2010 – 2019
- 2019
- [j120]Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, Prabhat:
Deep learning and process understanding for data-driven Earth system science. Nat. 566(7743): 195-204 (2019) - [j119]José F. Moreno, José Antonio Sobrino, Gustau Camps-Valls:
Foreword to the Special Issue on IGARSS 2018. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2012-2014 (2019) - [j118]Jorge Vicent Servera, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls, José F. Moreno:
Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. 57(2): 1040-1048 (2019) - [j117]Adrian Perez-Suay, Gustau Camps-Valls:
Causal Inference in Geoscience and Remote Sensing From Observational Data. IEEE Trans. Geosci. Remote. Sens. 57(3): 1502-1513 (2019) - [j116]Joaquin Garcia-Sobrino, Valero Laparra, Joan Serra-Sagristà, Xavier Calbet, Gustau Camps-Valls:
Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. IEEE Trans. Geosci. Remote. Sens. 57(8): 5651-5668 (2019) - [j115]José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls:
Kernel Anomalous Change Detection for Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 57(10): 7743-7755 (2019) - [j114]José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls:
Nonlinear Distribution Regression for Remote Sensing Applications. IEEE Trans. Geosci. Remote. Sens. 57(12): 10025-10035 (2019) - [c107]Jakob Runge, Xavier-Andoni Tibau, Matthias Bruhns, Jordi Muñoz-Marí, Gustau Camps-Valls:
The Causality for Climate Competition. NeurIPS (Competition and Demos) 2019: 110-120 - [i16]Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls, Dino Sejdinovic:
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness. CoRR abs/1911.04322 (2019) - [i15]Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls:
Active emulation of computer codes with Gaussian processes - Application to remote sensing. CoRR abs/1912.06552 (2019) - 2018
- [j113]Irene E. Teubner, Matthias Forkel, Martin Jung, Yi Y. Liu, Diego G. Miralles, Robert M. Parinussa, Robin van der Schalie, Mariette Vreugdenhil, Christopher R. Schwalm, Gianluca Tramontana, Gustau Camps-Valls, Wouter A. Dorigo:
Assessing the relationship between microwave vegetation optical depth and gross primary production. Int. J. Appl. Earth Obs. Geoinformation 65: 79-91 (2018) - [j112]Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro:
Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. 68: 69-82 (2018) - [j111]Adrián Pérez-Suay, Gustau Camps-Valls:
Sensitivity maps of the Hilbert-Schmidt independence criterion. Appl. Soft Comput. 70: 1054-1063 (2018) - [j110]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
The Recycling Gibbs sampler for efficient learning. Digit. Signal Process. 74: 1-13 (2018) - [j109]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Group Importance Sampling for particle filtering and MCMC. Digit. Signal Process. 82: 133-151 (2018) - [j108]Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrian Perez-Suay, Gustau Camps-Valls:
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. IEEE Geosci. Remote. Sens. Lett. 15(11): 1647-1651 (2018) - [j107]Luis Gómez-Chova, Raúl Santos-Rodríguez, Gustau Camps-Valls:
Signal-to-noise ratio in reproducing kernel Hilbert spaces. Pattern Recognit. Lett. 112: 75-82 (2018) - [j106]Manuel Campos-Taberner, Francisco Javier García-Haro, Lorenzo Busetto, Luigi Ranghetti, Beatriz Martínez, María Amparo Gilabert, Gustau Camps-Valls, Fernando Camacho, Mirco Boschetti:
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. Sens. 10(5): 763 (2018) - [j105]Ana B. Ruescas, Martin Hieronymi, Gonzalo Mateo-Garcia, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls:
Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. Remote. Sens. 10(5): 786 (2018) - [j104]Gonzalo Mateo-Garcia, Luis Gómez-Chova, Julia Amorós-López, Jordi Muñoz-Marí, Gustau Camps-Valls:
Multitemporal Cloud Masking in the Google Earth Engine. Remote. Sens. 10(7): 1079 (2018) - [j103]Manuel Campos-Taberner, Álvaro Moreno-Martínez, Francisco Javier García-Haro, Gustau Camps-Valls, Nathaniel P. Robinson, Jens Kattge, Steven W. Running:
Global Estimation of Biophysical Variables from Google Earth Engine Platform. Remote. Sens. 10(8): 1167 (2018) - [j102]Adrian Perez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls:
Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 3977-3987 (2018) - [j101]Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4918-4931 (2018) - [j100]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Remote Sensing Image Classification With Large-Scale Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. 56(2): 1103-1114 (2018) - [j99]Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls:
Joint Gaussian Processes for Biophysical Parameter Retrieval. IEEE Trans. Geosci. Remote. Sens. 56(3): 1718-1727 (2018) - [c106]Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi:
Retrieval of Case 2 Water Quality Parameters with Machine Learning. IGARSS 2018: 124-127 - [c105]Álvaro Moreno-Martínez, Marco P. Maneta, Gustau Camps-Valls, Luca Martino, Nathaniel P. Robinson, Brady W. Allred, Steven W. Running:
Interpolation and Gap Filling of Landsat Reflectance Time Series. IGARSS 2018: 349-352 - [c104]Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls:
Sparsity-Driven Digital Terrain Model Extraction. IGARSS 2018: 1316-1319 - [c103]Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Statistical Learning For End-To-End Simulations. IGARSS 2018: 1699-1702 - [c102]Francisco Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez, Sergio Sanchez-Ruiz, María Amparo Gilabert, Gustau Camps-Valls, Jordi Muñoz-Marí, Valero Laparra, Fernando Camacho, Jorge Sánchez-Zapero, Beatriz Fuster:
Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. IGARSS 2018: 1826-1829 - [c101]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. IGARSS 2018: 2111-2114 - [c100]Daniel Heestermans Svendsen, Luca Martino, Jorge Vicent, Gustau Camps-Valls:
Multioutput Automatic Emulator for Radiative Transfer Models. IGARSS 2018: 4019-4022 - [c99]Anna Mateo-Sanchis, Jordi Muñoz-Marí, Manuel Campos-Taberner, F. Javier García-Haro, Gustau Camps-Valls:
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. IGARSS 2018: 4039-4042 - [c98]Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent Regression of Biophysical Parameters with Kernel Methods. IGARSS 2018: 4047-4050 - [c97]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. IGARSS 2018: 4051-4054 - [c96]Fatih Nar, Adrian Perez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for Target Detection. IGARSS 2018: 4237-4240 - [c95]Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A Deep Network Approach to Multitemporal Cloud Detection. IGARSS 2018: 4351-4354 - [c94]José Antonio Padrón-Hidalgo, Adrian Perez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook Distance for Anomalous Change Detection. IGARSS 2018: 5025-5028 - [c93]Diego Bueso, Maria Piles, Gustau Camps-Valls:
Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture. IGARSS 2018: 5780-5783 - [c92]Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for Geophysical Parameter Retrieval. IGARSS 2018: 6175-6178 - [c91]Maria Piles, Robin van der Schalie, Alexander Gruber, Jordi Muñoz-Marí, Gustavo Camps-Valls, Anna Mateo-Sanchis, Wouter Dorigo, Richard de Jeu:
Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors. IGARSS 2018: 8259-8262 - [c90]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Distributed Particle Metropolis-Hastings Schemes. SSP 2018: 553-557 - [i14]Martin Jung, Sujan Koirala, Ulrich Weber, Kazuhito Ichii, Fabian Gans, Gustau Camps-Valls, Dario Papale, Christopher R. Schwalm, Gianluca Tramontana, Markus Reichstein:
The FLUXCOM ensemble of global land-atmosphere energy fluxes. CoRR abs/1812.04951 (2018) - 2017
- [j98]Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls:
Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 14(6): 896-900 (2017) - [j97]Martin Jung, Markus Reichstein, Christopher R. Schwalm, Christopher Huntingford, Stephen Sitch, Anders Ahlström, Almut Arneth, Gustau Camps-Valls, Philippe Ciais, Pierre Friedlingstein, Fabian Gans, Kazuhito Ichii, Atul K. Jain, Etsushi Kato, Dario Papale, Ben Poulter, Botond Raduly, Christian Rödenbeck, Gianluca Tramontana, Nicolas Viovy, Ying-Ping Wang, Ulrich Weber, Sönke Zaehle, Ning Zeng:
Compensatory water effects link yearly global land CO2 sink changes to temperature. Nat. 541(7638): 516-520 (2017) - [j96]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, Daniela Stroppiana, Mirco Boschetti:
Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index. Remote. Sens. 9(3): 248 (2017) - [j95]Jochem Verrelst, Juan Pablo Rivera Caicedo, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra. Remote. Sens. 9(9): 927 (2017) - [j94]Katalin Blix, Gustau Camps-Valls, Robert Jenssen:
Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1265-1277 (2017) - [j93]Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet, Gustau Camps-Valls:
Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression. IEEE Trans. Geosci. Remote. Sens. 55(4): 2213-2224 (2017) - [j92]Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls:
Optimized Kernel Entropy Components. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1466-1472 (2017) - [c89]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Recycling Gibbs sampling. EUSIPCO 2017: 171-175 - [c88]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Group metropolis sampling. EUSIPCO 2017: 201-205 - [c87]Luca Martino, Valero Laparra, Gustau Camps-Valls:
Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO 2017: 823-827 - [c86]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos:
Passive millimeter wave image classification with large scale Gaussian processes. ICIP 2017: 370-374 - [c85]David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. IGARSS 2017: 17-20 - [c84]Adrian Perez-Suay, Gustau Camps-Valls:
Causal inference in geosciences with kernel sensitivity maps. IGARSS 2017: 763-766 - [c83]Luca Martino, Jorge Vicent, Gustau Camps-Valls:
Automatic emulator and optimized look-up table generation for radiative transfer models. IGARSS 2017: 1457-1460 - [c82]Adrià Descals, Luis Alonso, Gustau Camps-Valls:
Predicting year of plantation with hyperspectral and lidar data. IGARSS 2017: 1780-1783 - [c81]Ana B. Ruescas, Martin Hieronymi, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls:
Retrieval of coloured dissolved organic matter with machine learning methods. IGARSS 2017: 2187-2190 - [c80]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Efficient remote sensing image classification with Gaussian processes and Fourier features. IGARSS 2017: 2227-2230 - [c79]Luis Gómez-Chova, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Gustau Camps-Valls:
Cloud detection machine learning algorithms for PROBA-V. IGARSS 2017: 2251-2254 - [c78]Gonzalo Mateo-Garcia, Luis Gómez-Chova, Gustau Camps-Valls:
Convolutional neural networks for multispectral image cloud masking. IGARSS 2017: 2255-2258 - [c77]Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Gustau Camps-Valls:
Joint Gaussian processes for inverse modeling. IGARSS 2017: 3980-3983 - [c76]Maria Piles, Gustavo Camps-Valls, David Chaparro, Dara Entekhabi, Alexandra Georges Konings, Thomas Jagdhuber:
Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices. IGARSS 2017: 4346-4349 - [c75]Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet, Gustau Camps-Valls:
Nonlinear statistical retrieval of surface emissivity from IASI data. IGARSS 2017: 5450-5453 - [c74]Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls:
Fair Kernel Learning. ECML/PKDD (1) 2017: 339-355 - [c73]Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo:
Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) 2017: 205-217 - [c72]Luca Martino, Jorge Vicent, Gustau Camps-Valls:
Automatic Emulation by Adaptive Relevance Vector Machines. SCIA (1) 2017: 443-454 - [i13]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Group Importance Sampling for Particle Filtering and MCMC. CoRR abs/1704.02771 (2017) - [i12]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Remote Sensing Image Classification with Large Scale Gaussian Processes. CoRR abs/1710.00575 (2017) - [i11]Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls:
Joint Gaussian Processes for Biophysical Parameter Retrieval. CoRR abs/1711.05197 (2017) - [i10]Gustau Camps-Valls, Thomas Hickler, Birgitta König-Ries:
Computer Science Meets Ecology (Dagstuhl Seminar 17091). Dagstuhl Reports 7(2): 109-134 (2017) - 2016
- [j91]Jochem Verrelst, Juan Pablo Rivera, Anatoly A. Gitelson, Jesús Delegido, José F. Moreno, Gustau Camps-Valls:
Spectral band selection for vegetation properties retrieval using Gaussian processes regression. Int. J. Appl. Earth Obs. Geoinformation 52: 554-567 (2016) - [j90]Jochem Verrelst, Sara Dethier, Juan Pablo Rivera, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. IEEE Geosci. Remote. Sens. Lett. 13(7): 1012-1016 (2016) - [j89]Jochem Verrelst, Neus Sabater, Juan Pablo Rivera, Jordi Muñoz-Marí, Jorge Vicent, Gustau Camps-Valls, José F. Moreno:
Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis. Remote. Sens. 8(8): 673 (2016) - [j88]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, Michal Shimoni, Gabriele Moser, Devis Tuia:
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. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5547-5559 (2016) - [j87]Adriana Romero, Carlo Gatta, Gustau Camps-Valls:
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(3): 1349-1362 (2016) - [c71]David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls:
Latent force models for earth observation time series prediction. MLSP 2016: 1-6 - [i9]Valero Laparra, Jesús Malo, Gustau Camps-Valls:
Dimensionality Reduction via Regression in Hyperspectral Imagery. CoRR abs/1602.00214 (2016) - [i8]Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls, Jesús Malo:
Image Denoising with Kernels based on Natural Image Relations. CoRR abs/1602.00217 (2016) - [i7]Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls:
Optimized Kernel Entropy Components. CoRR abs/1603.02806 (2016) - [i6]Luca Martino, Victor Elvira, Gustau Camps-Valls:
The Recycling Gibbs Sampler for Efficient Learning. CoRR abs/1611.07056 (2016) - 2015
- [j86]Emma Izquierdo-Verdiguier, Robert Jenssen, Luis Gómez-Chova, Gustavo Camps-Valls:
Spectral clustering with the probabilistic cluster kernel. Neurocomputing 149: 1299-1304 (2015) - [j85]Valero Laparra, Jesus Malo, Gustau Camps-Valls:
Dimensionality Reduction via Regression in Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 9(6): 1026-1036 (2015) - [j84]Manuel Campos-Taberner, F. Javier García-Haro, Álvaro Moreno, M. Amparo Gilabert Navarro, Sergio Sanchez-Ruiz, Beatriz Martínez, Gustau Camps-Valls:
Mapping Leaf Area Index With a Smartphone and Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 12(12): 2501-2505 (2015) - [j83]Luis Gómez-Chova, Devis Tuia, Gabriele Moser, Gustau Camps-Valls:
Multimodal Classification of Remote Sensing Images: A Review and Future Directions. Proc. IEEE 103(9): 1560-1584 (2015) - [j82]Juan Pablo Rivera, Jochem Verrelst, José Gómez-Dans, Jordi Muñoz-Marí, José F. Moreno, Gustau Camps-Valls:
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning. Remote. Sens. 7(7): 9347-9370 (2015) - [c70]Jordi Muñoz-Marí, Jochem Verrelst, Miguel Lázaro-Gredilla, Gustau Camps-Valls:
Biophysical parameter retrieval with warped Gaussian processes. IGARSS 2015: 13-16 - [c69]Valero Laparra, Diego Marcos Gonzalez, Devis Tuia, Gustau Camps-Valls:
Large-scale random features for kernel regression. IGARSS 2015: 17-20 - [c68]Manuel Campos-Taberner, F. Javier García-Haro, Álvaro Moreno, María Amparo Gilabert, Beatriz Martínez, Sergio Sanchez-Ruiz, Gustau Camps-Valls:
Development of an earth observation processing chain for crop bio-physical parameters at local scale. IGARSS 2015: 29-32 - [c67]Luis Gómez-Chova, Julia Amorós-López, Antonio Ruiz-Verdú, Jordi Muñoz-Marí, Gustau Camps-Valls:
Operational cloud screening service for Sentinel-2 image time series. IGARSS 2015: 334-337 - [c66]Jochem Verrelst, Juan Pablo Rivera, José Gómez-Dans, Gustau Camps-Valls, José F. Moreno:
Replacing radiative transfer models by surrogate approximations through machine learning. IGARSS 2015: 633-636 - [c65]Katalin Blix, Gustau Camps-Valls, Robert Jenssen:
Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. IGARSS 2015: 996-999 - [c64]Diego Marcos Gonzalez, Gustau Camps-Valls, Devis Tuia:
Weakly supervised alignment of multisensor images. IGARSS 2015: 2588-2591 - [c63]Manuel Campos-Taberner, Adriana Romero, Carlo Gatta, Gustau Camps-Valls:
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination. IGARSS 2015: 4169-4172 - [c62]Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein:
Ranking drivers of global carbon and energy fluxes over land. IGARSS 2015: 4416-4419 - [c61]Gustavo Camps-Valls:
Capturing Time-structures in Earth Observation Data with Gaussian Processes (abstract). AALTD@PKDD/ECML 2015 - [c60]Fernando Mateo, Jordi Muñoz-Marí, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls:
Learning Structures in Earth Observation Data with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 78-94 - [i5]Devis Tuia, Gustau Camps-Valls:
Kernel Manifold Alignment. CoRR abs/1504.02338 (2015) - [i4]Adriana Romero, Carlo Gatta, Gustau Camps-Valls:
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. CoRR abs/1511.08131 (2015) - 2014
- [j81]José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls:
A unified SVM framework for signal estimation. Digit. Signal Process. 26: 1-20 (2014) - [j80]Valero Laparra, Sandra Jiménez, Devis Tuia, Gustau Camps-Valls, Jesús Malo:
Principal Polynomial Analysis. Int. J. Neural Syst. 24(7) (2014) - [j79]Miguel Lázaro-Gredilla, Michalis K. Titsias, Jochem Verrelst, Gustavo Camps-Valls:
Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 11(4): 838-842 (2014) - [j78]Sancho Salcedo-Sanz, Carlos Casanova-Mateo, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 11(11): 1936-1940 (2014) - [j77]Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson:
Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods. IEEE Signal Process. Mag. 31(1): 45-54 (2014) - [j76]Juan Pablo Rivera Caicedo, Jochem Verrelst, Jordi Muñoz-Marí, José F. Moreno, Gustavo Camps-Valls:
Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1249-1259 (2014) - [j75]Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian Active Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(4): 2186-2196 (2014) - [j74]Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis. IEEE Trans. Geosci. Remote. Sens. 52(9): 5567-5578 (2014) - [j73]Devis Tuia, Michele Volpi, Maxime Trolliet, Gustavo Camps-Valls:
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52(12): 7708-7720 (2014) - [j72]Devis Tuia, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls:
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1413-1419 (2014) - [j71]Sancho Salcedo-Sanz, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls:
Support vector machines in engineering: an overview. WIREs Data Mining Knowl. Discov. 4(3): 234-267 (2014) - [c59]Naoufal Amrani, Valero Laparra, Gustavo Camps-Valls, Joan Serra-Sagristà, Jesús Malo:
Lossless coding of hyperspectral images with principal polynomial analysis. ICIP 2014: 4023-4026 - [c58]Devis Tuia, Michele Volpi, Gustau Camps-Valls:
Unsupervised Alignment of Image Manifolds with Centrality Measures. ICPR 2014: 912-917 - [c57]Jan-Pieter Jacobs, Guy Thoonen, Devis Tuia, Gustavo Camps-Valls, Pieter Kempeneers, Paul Scheunders:
Spectral adaptation of hyperspectral flight lines using VHR contextual information. IGARSS 2014: 2953-2956 - [c56]Valero Laparra, Jesus Malo, Gustavo Camps-Valls:
Dimensionality reduction via regression on hyperspectral infrared sounding data. WHISPERS 2014: 1-4 - [c55]Nathan Longbotham, Gustavo Camps-Valls:
A family of kernel anomaly change detectors. WHISPERS 2014: 1-4 - [c54]Nathan Longbotham, Fabio Pacifici, Bill Baugh, Gustavo Camps-Valls:
Prelaunch assessment of worldview-3 information content. WHISPERS 2014: 1-4 - [c53]Adriana Romero, Carlo Gatta, Gustavo Camps-Valls:
Unsupervised deep feature extraction of hyperspectral images. WHISPERS 2014: 1-4 - 2013
- [j70]Julia Amorós-López, Luis Gómez-Chova, Luis Alonso, Luis Guanter, Raúl Zurita-Milla, José F. Moreno, Gustavo Camps-Valls:
Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring. Int. J. Appl. Earth Obs. Geoinformation 23: 132-141 (2013) - [j69]Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls:
Encoding Invariances in Remote Sensing Image Classification With SVM. IEEE Geosci. Remote. Sens. Lett. 10(5): 981-985 (2013) - [j68]Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen:
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. IEEE Signal Process. Mag. 30(4): 16-29 (2013) - [j67]Jochem Verrelst, Luis Alonso, Juan Pablo Rivera Caicedo, José F. Moreno, Gustavo Camps-Valls:
Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-3): 867-874 (2013) - [j66]José M. Leiva-Murillo, Luis Gómez-Chova, Gustavo Camps-Valls:
Multitask Remote Sensing Data Classification. IEEE Trans. Geosci. Remote. Sens. 51(1): 151-161 (2013) - [c52]Vicent Talens, Valero Laparra, Jesus Malo, Gustavo Camps-Valls:
Kernel Structural SIMIlarity on hyperspectral images. IGARSS 2013: 1214-1217 - [c51]Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia:
Multi-sensor change detection based on nonlinear canonical correlations. IGARSS 2013: 1944-1947 - [c50]Luis Gómez-Chova, Emma Izquierdo-Verdiguier, Julia Amorós-López, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Kernel change discriminant analysis for multitemporal cloud masking. IGARSS 2013: 2974-2977 - [c49]Miguel Lázaro-Gredilla, Michalis K. Titsias, Jochem Verrelst, Gustavo Camps-Valls:
Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes. IGARSS 2013: 3010-3013 - [c48]Jan-Pieter Jacobs, Guy Thoonen, Devis Tuia, Gustavo Camps-Valls, Birgen Haest, Paul Scheunders:
Domain adaptation with Hidden Markov Random Fields. IGARSS 2013: 3112-3115 - [c47]Luis Gómez-Chova, Jordi Muñoz-Marí, Julia Amorós-López, Emma Izquierdo-Verdiguier, Gustavo Camps-Valls:
Advances in synergy of AATSR-MERIS sensors for cloud detection. IGARSS 2013: 4391-4394 - [c46]Julia Amorós-López, Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Jordi Muñoz-Marí, Gustavo Camps-Valls:
A kernel regression approach to cloud and shadow detection in multitemporal images. MultiTemp 2013: 1-4 - [c45]Jordi Muñoz-Marí, Luis Gómez-Chova, Julia Amorós-López, Emma Izquierdo-Verdiguier, Gustavo Camps-Valls:
Multiset Kernel CCA for multitemporal image classification. MultiTemp 2013: 1-4 - [p3]Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos:
Interactive Pansharpening and Active Classification in Remote Sensing. Multimodal Interaction in Image and Video Applications 2013: 67-81 - [i3]Gustavo Camps-Valls, Jaime Gutierrez, Gabriel Gómez-Pérez, Jesús Malo:
On the Suitable Domain for SVM Training in Image Coding. CoRR abs/1310.5082 (2013) - [i2]Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen:
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. CoRR abs/1310.5089 (2013) - [i1]Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson:
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods. CoRR abs/1310.5107 (2013) - 2012
- [j65]Felipe Alonso Atienza, José Luis Rojo-Álvarez, Alfredo Rosado Muñoz, Juan J. Vinagre, Arcadi García-Alberola, Gustavo Camps-Valls:
Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection. Expert Syst. Appl. 39(2): 1956-1967 (2012) - [j64]Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski:
Unsupervised Change Detection With Kernels. IEEE Geosci. Remote. Sens. Lett. 9(6): 1026-1030 (2012) - [j63]Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls, Jesús Malo:
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. Neural Comput. 24(10): 2751-2788 (2012) - [j62]Devis Tuia, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Remote sensing image segmentation by active queries. Pattern Recognit. 45(6): 2180-2192 (2012) - [j61]Gustavo Camps-Valls, Jordi Muñoz-Marí, Luis Gómez-Chova, Luis Guanter, Xavier Calbet:
Nonlinear Statistical Retrieval of Atmospheric Profiles From MetOp-IASI and MTG-IRS Infrared Sounding Data. IEEE Trans. Geosci. Remote. Sens. 50(5-2): 1759-1769 (2012) - [j60]Jochem Verrelst, Luis Alonso, Gustavo Camps-Valls, Jesús Delegido, José F. Moreno:
Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques. IEEE Trans. Geosci. Remote. Sens. 50(5-2): 1832-1843 (2012) - [j59]Jordi Muñoz-Marí, Devis Tuia, Gustavo Camps-Valls:
Semisupervised Classification of Remote Sensing Images With Active Queries. IEEE Trans. Geosci. Remote. Sens. 50(10): 3751-3763 (2012) - [j58]Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy:
Large Margin Filtering. IEEE Trans. Signal Process. 60(2): 648-659 (2012) - [c44]Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised nonlinear feature extraction for image classification. IGARSS 2012: 1525-1528 - [c43]Mirco Furlani, Devis Tuia, Jordi Muñoz-Marí, Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone:
Discovering single classes in remote sensing images with active learning. IGARSS 2012: 7341-7344 - [c42]Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls:
Including invariances in SVM remote sensing image classification. IGARSS 2012: 7353-7356 - [c41]Luis Gómez-Chova, Gustavo Camps-Valls:
Learning with the kernel signal to noise ratio. MLSP 2012: 1-6 - [c40]Emma Izquierdo-Verdiguier, Jerónimo Arenas-García, Sergio Muñoz-Romero, Luis Gómez-Chova, Gustavo Camps-Valls:
Semisupervised kernel orthonormalized partial least squares. MLSP 2012: 1-6 - [c39]Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo:
Nonlinear data description with Principal Polynomial Analysis. MLSP 2012: 1-6 - [c38]Ignacio Santamaría, Jerónimo Arenas-García, Gustavo Camps-Valls, Deniz Erdogmus, Fernando Pérez-Cruz:
Preface. MLSP 2012: 1 - 2011
- [b1]Gustavo Camps-Valls, Devis Tuia, Luis Gómez-Chova, Sandra Jiménez, Jesús Malo:
Remote Sensing Image Processing. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2011, ISBN 978-3-031-01119-1 - [j57]Gustavo Camps-Valls, Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot:
Introduction to the Issue on Advances in Remote Sensing Image Processing. IEEE J. Sel. Top. Signal Process. 5(3): 365-369 (2011) - [j56]Fernando García-Vílchez, Jordi Muñoz-Marí, Maciel Zortea, Ian Blanes, Vicente González Ruiz, Gustavo Camps-Valls, Antonio Plaza, Joan Serra-Sagristà:
On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing. IEEE Geosci. Remote. Sens. Lett. 8(2): 253-257 (2011) - [j55]Devis Tuia, Jochem Verrelst, Luis Alonso-Chorda, Fernando Pérez-Cruz, Gustavo Camps-Valls:
Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation. IEEE Geosci. Remote. Sens. Lett. 8(4): 804-808 (2011) - [j54]Julia Amorós-López, Luis Gómez-Chova, Luis Alonso-Chorda, Luis Guanter, José F. Moreno, Gustavo Camps-Valls:
Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion. IEEE Geosci. Remote. Sens. Lett. 8(5): 844-848 (2011) - [j53]Devis Tuia, Gustavo Camps-Valls:
Urban Image Classification With Semisupervised Multiscale Cluster Kernels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(1): 65-74 (2011) - [j52]Luis Gómez-Chova, Raúl Zurita-Milla, Luis Alonso, Julia Amorós-López, Luis Guanter, Gustavo Camps-Valls:
Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study. IEEE Trans. Geosci. Remote. Sens. 49(7): 2601-2611 (2011) - [j51]Raúl Zurita-Milla, Luis Gómez-Chova, Luis Guanter, Jan G. P. W. Clevers, Gustavo Camps-Valls:
Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping. IEEE Trans. Geosci. Remote. Sens. 49(11): 4308-4317 (2011) - [j50]Valero Laparra, Gustavo Camps-Valls, Jesus Malo:
Iterative Gaussianization: From ICA to Random Rotations. IEEE Trans. Neural Networks 22(4): 537-549 (2011) - [j49]Devis Tuia, Jordi Muñoz-Marí, Mikhail F. Kanevski, Gustavo Camps-Valls:
Structured Output SVM for Remote Sensing Image Classification. J. Signal Process. Syst. 65(3): 301-310 (2011) - [c37]Devis Tuia, Gustavo Camps-Valls, Manel Martínez-Ramón:
Explicit recursivity into reproducing kernel Hilbert spaces. ICASSP 2011: 4148-4151 - [c36]Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski:
Unsupervised change detection in the feature space using kernels. IGARSS 2011: 106-109 - [c35]Vicent Talens, José F. Moreno, Gustavo Camps-Valls:
Kernel image similarity criterion. IGARSS 2011: 527-530 - [c34]Devis Tuia, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Large scale semi-supervised image segmentation with active queries. IGARSS 2011: 2653-2656 - [c33]Gustavo Camps-Valls, Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet:
Kernel-based retrieval of atmospheric profiles from IASI data. IGARSS 2011: 2813-2816 - [c32]Luis Gómez-Chova, Allan Aasbjerg Nielsen, Gustavo Camps-Valls:
Explicit signal to noise ratio in reproducing kernel Hilbert spaces. IGARSS 2011: 3570-3573 - [c31]Luis Gómez-Chova, Robert Jenssen, Gustavo Camps-Valls:
Kernel entropy component analysis in remote sensing data clustering. IGARSS 2011: 3728-3731 - [c30]Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo:
Principal polynomial analysis for remote sensing data processing. IGARSS 2011: 4180-4183 - 2010
- [j48]Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesús Malo:
Image Denoising with Kernels Based on Natural Image Relations. J. Mach. Learn. Res. 11: 873-903 (2010) - [j47]Devis Tuia, Frédéric Ratle, Alexei Pozdnoukhov, Gustavo Camps-Valls:
Multisource Composite Kernels for Urban-Image Classification. IEEE Geosci. Remote. Sens. Lett. 7(1): 88-92 (2010) - [j46]Gustavo Camps-Valls, Joris M. Mooij, Bernhard Schölkopf:
Remote Sensing Feature Selection by Kernel Dependence Measures. IEEE Geosci. Remote. Sens. Lett. 7(3): 587-591 (2010) - [j45]Gustavo Camps-Valls, Nino Shervashidze, Karsten M. Borgwardt:
Spatio-Spectral Remote Sensing Image Classification With Graph Kernels. IEEE Geosci. Remote. Sens. Lett. 7(4): 741-745 (2010) - [j44]Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone:
A support vector domain method for change detection in multitemporal images. Pattern Recognit. Lett. 31(10): 1148-1154 (2010) - [j43]Luis Gómez-Chova, Gustavo Camps-Valls, Lorenzo Bruzzone, Javier Calpe-Maravilla:
Mean Map Kernel Methods for Semisupervised Cloud Classification. IEEE Trans. Geosci. Remote. Sens. 48(1-1): 207-220 (2010) - [j42]Frédéric Ratle, Gustavo Camps-Valls, Jason Weston:
Semisupervised Neural Networks for Efficient Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(5): 2271-2282 (2010) - [j41]Jordi Muñoz-Marí, Francesca Bovolo, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 48(8): 3188-3197 (2010) - [j40]Devis Tuia, Gustavo Camps-Valls, Giona Matasci, Mikhail F. Kanevski:
Learning Relevant Image Features With Multiple-Kernel Classification. IEEE Trans. Geosci. Remote. Sens. 48(10): 3780-3791 (2010) - [c29]Gustavo Camps-Valls, Devis Tuia, Valero Laparra, Jesús Malo:
Estimating biophysical variable dependences with kernels. IGARSS 2010: 828-831 - [c28]Devis Tuia, Mikhail F. Kanevski, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Cluster-based active learning for compact image classification. IGARSS 2010: 2824-2827 - [c27]Julia Amorós-López, Luis Gómez-Chova, Luis Guanter, Luis Alonso, José F. Moreno, Gustavo Camps-Valls:
Multi-resolution spatial unmixing for MERIS and Landsat image fusion. IGARSS 2010: 3672-3675
2000 – 2009
- 2009
- [j39]Gustavo Camps-Valls, Jordi Muñoz-Marí, Manel Martínez-Ramón, Jesús Requena-Carrión, José Luis Rojo-Álvarez:
Learning non-linear time-scales with kernel gamma-filters. Neurocomputing 72(4-6): 1324-1328 (2009) - [j38]Devis Tuia, Gustavo Camps-Valls:
Semisupervised Remote Sensing Image Classification With Cluster Kernels. IEEE Geosci. Remote. Sens. Lett. 6(2): 224-228 (2009) - [j37]Mattia Marconcini, Gustavo Camps-Valls, Lorenzo Bruzzone:
A Composite Semisupervised SVM for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 6(2): 234-238 (2009) - [j36]Gustavo Camps-Valls, Jordi Muñoz-Marí, Luis Gómez-Chova, Katja Richter, Javier Calpe-Maravilla:
Biophysical Parameter Estimation With a Semisupervised Support Vector Machine. IEEE Geosci. Remote. Sens. Lett. 6(2): 248-252 (2009) - [j35]Tatyana V. Bandos, Lorenzo Bruzzone, Gustavo Camps-Valls:
Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis. IEEE Trans. Geosci. Remote. Sens. 47(3): 862-873 (2009) - [j34]Luca Capobianco, Andrea Garzelli, Gustavo Camps-Valls:
Target Detection With Semisupervised Kernel Orthogonal Subspace Projection. IEEE Trans. Geosci. Remote. Sens. 47(11): 3822-3833 (2009) - [c26]Devis Tuia, Gustavo Camps-Valls:
Recent advances in remote sensing image processing. ICIP 2009: 3705-3708 - [c25]Valero Laparra, Gustavo Camps-Valls, Jesús Malo:
PCA Gaussianization for image processing. ICIP 2009: 3985-3988 - [c24]Devis Tuia, Giona Matasci, Gustavo Camps-Valls, Mikhail F. Kanevski:
Learning the Relevant Image Features with Multiple Kernels. IGARSS (2) 2009: 65-68 - [c23]Gustavo Camps-Valls, Luis Gómez-Chova, Jordi Muñoz-Marí, Joan Vila-Francés, Julia Amorós-López, Javier Calpe-Maravilla:
Biophysical Parameter Estimation with Adaptive Gaussian Processes. IGARSS (4) 2009: 69-72 - [c22]Luis Gómez-Chova, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, Gustavo Camps-Valls, Javier Calpe-Maravilla, José F. Moreno:
Cloud Screening with Combined MERIS and AATSR Images. IGARSS (4) 2009: 761-764 - [c21]Luca Capobianco, Andrea Garzelli, Gustavo Camps-Valls:
Semi-supervised Kernel Target Detection in Hyperspectral Images. ISDA 2009: 566-571 - [p2]Jordi Muñoz-Marí, Antonio J. Plaza, J. Anthony Gualtieri, Gustavo Camps-Valls:
Parallel Implementations of SVM for Earth Observation. Parallel Programming, Models and Applications in Grid and P2P Systems 2009: 292-312 - [r4]Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez:
Applications of Kernel Methods. Encyclopedia of Data Warehousing and Mining 2009: 51-57 - [r3]Gustavo Camps-Valls, Alistair Morgan Chalk:
Bioinformatics and Computational Biology. Encyclopedia of Data Warehousing and Mining 2009: 160-165 - [r2]Sancho Salcedo-Sanz, Gustavo Camps-Valls, Carlos Bousoño-Calzón:
Hybrid Genetic Algorithms in Data Mining Applications. Encyclopedia of Data Warehousing and Mining 2009: 993-998 - [r1]Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez:
An Introduction to Kernel Methods. Encyclopedia of Data Warehousing and Mining 2009: 1097-1101 - 2008
- [j33]José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, Carlos M. Cruz, Aníbal R. Figueiras-Vidal:
Sparse Deconvolution Using Support Vector Machines. EURASIP J. Adv. Signal Process. 2008 (2008) - [j32]Gustavo Camps-Valls, Jaime Gutierrez, Gabriel Gómez-Pérez, Jesus Malo:
On the Suitable Domain for SVM Training in Image Coding. J. Mach. Learn. Res. 9: 49-66 (2008) - [j31]Luis Gómez-Chova, Gustavo Camps-Valls, Jordi Muñoz-Marí, Javier Calpe:
Semisupervised Image Classification With Laplacian Support Vector Machines. IEEE Geosci. Remote. Sens. Lett. 5(3): 336-340 (2008) - [j30]Gustavo Camps-Valls, Luis Gómez-Chova, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón:
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. IEEE Trans. Geosci. Remote. Sens. 46(6): 1822-1835 (2008) - [j29]Jerónimo Arenas-García, Gustavo Camps-Valls:
Efficient Kernel Orthonormalized PLS for Remote Sensing Applications. IEEE Trans. Geosci. Remote. Sens. 46(10): 2872-2881 (2008) - [c20]Juan Gómez-Sanchís, Gustavo Camps-Valls, Enrique Moltó, Luis Gómez-Chova, Nuria Aleixos, José Blasco:
Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins. ICIAR 2008: 1071-1080 - [c19]Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesus Malo:
Recovering wavelet relations using SVM for image denoising. ICIP 2008: 541-544 - [c18]Luca Capobianco, Andrea Garzelli, Gustavo Camps-Valls:
Semi-Supervised Kernel Orthogonal Subspace Projection. IGARSS (4) 2008: 216-219 - [c17]Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls, Javier Calpe-Maravilla:
Semi-Supervised Remote Sensing Image Classification based on Clustering and the Mean Map Kernel. IGARSS (4) 2008: 391-394 - [c16]Gustavo Camps-Valls, Jordi Muñoz-Marí, Luis Gómez-Chova, Javier Calpe-Maravilla:
Semi-Supervised Support Vector Biophysical Parameter Estimation. IGARSS (3) 2008: 1131-1134 - [p1]Gustavo Camps-Valls, Antonio Rodrigo-González:
Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 307-326 - 2007
- [j28]Tatyana V. Bandos, Gustavo Camps-Valls, Emilio Soria-Olivas:
Statistical criteria for early-stopping of support vector machines. Neurocomputing 70(13-15): 2588-2592 (2007) - [j27]Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Jordi Muñoz-Marí:
Nonlinear System Identification With Composite Relevance Vector Machines. IEEE Signal Process. Lett. 14(4): 279-282 (2007) - [j26]Jordi Muñoz-Marí, Lorenzo Bruzzone, Gustavo Camps-Valls:
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 45(8): 2683-2692 (2007) - [j25]Gustavo Camps-Valls, Tatyana V. Bandos Marsheva, Dengyong Zhou:
Semi-Supervised Graph-Based Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 45(10): 3044-3054 (2007) - [j24]Luis Gómez-Chova, Gustavo Camps-Valls, Javier Calpe-Maravilla, Luis Guanter, José F. Moreno:
Cloud-Screening Algorithm for ENVISAT/MERIS Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 45(12-2): 4105-4118 (2007) - [j23]Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, N. Víctor Jiménez:
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. IEEE Trans. Syst. Man Cybern. Part C 37(3): 359-372 (2007) - [j22]José Luis Rojo-Álvarez, Carlos Figuera-Pozuelo, C. E. Martinez-Cruz, Gustavo Camps-Valls, Felipe Alonso Atienza, Manel Martínez-Ramón:
Nonuniform Interpolation of Noisy Signals Using Support Vector Machines. IEEE Trans. Signal Process. 55(8): 4116-4126 (2007) - [c15]Jerónimo Arenas-García, Gustavo Camps-Valls:
Feature extraction from remote sensing data using Kernel Orthonormalized PLS. IGARSS 2007: 258-261 - [c14]Jordi Muñoz-Marí, Gustavo Camps-Valls, Luis Gómez-Chova, Javier Calpe-Maravilla:
Combination of one-class remote sensing image classifiers. IGARSS 2007: 1509-1512 - [c13]Luis Gómez-Chova, Gustavo Camps-Valls, Jordi Muñoz-Marí, Javier Calpe-Maravilla:
Semi-supervised cloud screening with Laplacian SVM. IGARSS 2007: 1521-1524 - [c12]Gustavo Camps-Valls, Antonio Rodrigo-González, Jordi Muñoz-Marí, Luis Gómez-Chova, Javier Calpe-Maravilla:
Hyperspectral image classification with mahalanobis relevance vector machines. IGARSS 2007: 3802-3805 - 2006
- [j21]Gustavo Camps-Valls, Luis Gómez-Chova, Joan Vila-Francés, José David Martín-Guerrero, Antonio J. Serrano-López, Emilio Soria-Olivas:
Enhancing decision-based neural networks through local competition. Neurocomputing 69(7-9): 905-908 (2006) - [j20]Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Javier Calpe-Maravilla, Joan Vila-Francés, Gustavo Camps-Valls:
Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. Neurocomputing 69(7-9): 909-912 (2006) - [j19]Gustavo Camps-Valls, Luis Gómez-Chova, Jordi Muñoz-Marí, Joan Vila-Francés, Javier Calpe-Maravilla:
Composite kernels for hyperspectral image classification. IEEE Geosci. Remote. Sens. Lett. 3(1): 93-97 (2006) - [j18]Gustavo Camps-Valls, Lorenzo Bruzzone, José Luis Rojo-Álvarez, Farid Melgani:
Robust support vector regression for biophysical variable estimation from remotely sensed images. IEEE Geosci. Remote. Sens. Lett. 3(3): 339-343 (2006) - [j17]Luis Gómez-Chova, Diego Fernández-Prieto, Javier Calpe-Maravilla, Emilio Soria-Olivas, Joan Vila-Francés, Gustavo Camps-Valls:
Urban monitoring using multi-temporal SAR and multi-spectral data. Pattern Recognit. Lett. 27(4): 234-243 (2006) - [j16]Emilio Soria-Olivas, Gustavo Camps-Valls, José David Martín-Guerrero, Javier Calpe-Maravilla, Joan Vila-Francés, Antonio J. Serrano-López:
Non-linear RLS-based algorithm for pattern classification. Signal Process. 86(5): 1104-1108 (2006) - [j15]Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal:
Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks 17(6): 1617-1622 (2006) - [c11]Felipe Alonso Atienza, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Alfredo Rosado Muñoz, Arcadi García-Alberola:
Bootstrap feature selection in support vector machines for ventricular fibrillation detection. ESANN 2006: 233-238 - [c10]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:
Advanced Processing of Hyperspectral Images. IGARSS 2006: 1974-1978 - 2005
- [j14]José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
Support vector machines framework for linear signal processing. Signal Process. 85(12): 2316-2326 (2005) - [j13]Gustavo Camps-Valls, Lorenzo Bruzzone:
Kernel-based methods for hyperspectral image classification. IEEE Trans. Geosci. Remote. Sens. 43(6): 1351-1362 (2005) - [j12]Gabriel Gómez-Pérez, Gustavo Camps-Valls, Jaime Gutierrez, Jesús Malo:
Perceptual adaptive insensitivity for support vector machine image coding. IEEE Trans. Neural Networks 16(6): 1574-1581 (2005) - 2004
- [j11]Gustavo Camps-Valls, Marcelino Martínez-Sober, Emilio Soria-Olivas, José Rafael Magdalena Benedicto, Javier Calpe-Maravilla, Juan Guerrero-Martínez:
Foetal ECG recovery using dynamic neural networks. Artif. Intell. Medicine 31(3): 197-209 (2004) - [j10]Gustavo Camps-Valls, Alistair M. Chalk, Antonio J. Serrano-López, José David Martín-Guerrero, Erik L. L. Sonnhammer:
Profiled support vector machines for antisense oligonucleotide efficacy prediction. BMC Bioinform. 5: 135 (2004) - [j9]Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Emilio Soria-Olivas:
Robust gamma-filter using support vector machines. Neurocomputing 62: 493-499 (2004) - [j8]Gustavo Camps-Valls, José David Martín-Guerrero, José Luis Rojo-Álvarez, Emilio Soria-Olivas:
Fuzzy sigmoid kernel for support vector classifiers. Neurocomputing 62: 501-506 (2004) - [j7]Emilio Soria-Olivas, Javier Calpe-Maravilla, Jonathon A. Chambers, Marcelino Martínez-Sober, Gustavo Camps-Valls, José David Martín-Guerrero:
A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. IEEE Trans. Educ. 47(1): 127-133 (2004) - [j6]Gustavo Camps-Valls, Luis Gómez-Chova, Javier Calpe-Maravilla, José David Martín-Guerrero, Emilio Soria-Olivas, Luis Alonso-Chorda, José F. Moreno:
Robust support vector method for hyperspectral data classification and knowledge discovery. IEEE Trans. Geosci. Remote. Sens. 42(7): 1530-1542 (2004) - [j5]Sancho Salcedo-Sanz, Gustavo Camps-Valls, Fernando Pérez-Cruz, José Sepúlveda-Sanchis, Carlos Bousoño-Calzón:
Enhancing genetic feature selection through restricted search and Walsh analysis. IEEE Trans. Syst. Man Cybern. Part C 34(4): 398-406 (2004) - [c9]José David Martín-Guerrero, Emili Balaguer-Ballester, Gustavo Camps-Valls, Alberto Palomares, Antonio J. Serrano-López, Juan Gómez-Sanchís, Emilio Soria-Olivas:
Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. AH 2004: 421-424 - [c8]Gustavo Camps-Valls, Antonio J. Serrano-López, Luis Gómez-Chova, José David Martín-Guerrero, Javier Calpe-Maravilla, José F. Moreno:
Regularized RBF Networks for Hyperspectral Data Classification. ICIAR (2) 2004: 429-436 - 2003
- [j4]José David Martín-Guerrero, Emilio Soria-Olivas, Gustavo Camps-Valls, Antonio J. Serrano-López, Juan José Pérez-Ruixo, N. Víctor Jiménez-Torres:
Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure. Comput. Biol. Medicine 33(4): 361-373 (2003) - [j3]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:
Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. IEEE Trans. Biomed. Eng. 50(4): 442-448 (2003) - [j2]José David Martín-Guerrero, Gustavo Camps-Valls, Emilio Soria-Olivas, Antonio J. Serrano-López, Juan José Pérez-Ruixo, N. Víctor Jiménez-Torres:
Dosage individualization of erythropoietin using a profile-dependent support vector regression. IEEE Trans. Biomed. Eng. 50(10): 1136-1142 (2003) - [j1]Emilio Soria-Olivas, José David Martín-Guerrero, Gustavo Camps-Valls, Antonio J. Serrano-López, Javier Calpe-Maravilla, Luis Gómez-Chova:
A low-complexity fuzzy activation function for artificial neural networks. IEEE Trans. Neural Networks 14(6): 1576-1579 (2003) - [c7]Gustavo Camps-Valls, Luis Gómez-Chova, Javier Calpe-Maravilla, Emilio Soria-Olivas, José David Martín-Guerrero, José F. Moreno:
Support Vector Machines for Crop Classification Using Hyperspectral Data. IbPRIA 2003: 134-141 - [c6]Luis Gómez-Chova, Javier Calpe-Maravilla, Emilio Soria-Olivas, Gustavo Camps-Valls, José David Martín-Guerrero, José F. Moreno:
CART-based feature selection of hyperspectral images for crop cover classification. ICIP (3) 2003: 589-592 - [c5]Luis Gómez-Chova, Javier Calpe, Gustau Camps-Valls, José David Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, Luis Alonso-Chorda, José Moreno:
Feature selection of hyperspectral data through local correlation and SFFS for crop classification. IGARSS 2003: 555-557 - [c4]Luis Gómez-Chova, Javier Calpe, Gustau Camps-Valls, José David Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, Luis Alonso-Chorda, José Moreno:
Semi-supervised classification method for hyperspectral remote sensing images. IGARSS 2003: 1776-1778 - 2002
- [c3]Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Multi-dimensional Function Approximation and Regression Estimation. ICANN 2002: 757-762 - 2001
- [c2]Gustavo Camps-Valls, Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Juan José Pérez-Ruixo, N. Víctor Jiménez:
Neural Networks Ensemble for Cyclosporine Concentration Monitoring. ICANN 2001: 706-711 - [c1]Antonio J. Serrano-López, Emilio Soria-Olivas, Gustavo Camps-Valls, José David Martín-Guerrero, N. Víctor Jiménez:
Some Examples for Solving Clinical Problems Using Neural Networks. IWANN (2) 2001: 345-352
Coauthor Index
Luis Alonso 0002
aka: Luis Alonso-Chorda
aka: Luis Alonso-Chorda
Javier Calpe-Maravilla
aka: Javier Calpe
aka: Javier Calpe
Victor Elvira
aka: Víctor Elvira
aka: Víctor Elvira
F. Javier García-Haro
aka: Francisco Javier García-Haro
aka: Francisco Javier García-Haro
[j143] [c115] [i45] [i35] [i24] [i22] [i20] [j107] [j104] [j102] [j92] [c79] [c78] [c75] [c74] [i7] [j86] [j83] [c67] [j74] [j70] [j69] [j66] [c50] [c47] [c46] [c45] [j61] [c44] [c42] [c41] [c40] [b1] [j54] [j52] [j51] [c33] [c32] [c31] [j43] [j41] [c27] [j36] [c23] [c22] [j31] [j30] [c20] [c17] [c16] [j24] [c14] [c13] [c12] [j21] [j19] [j17] [j6] [c8] [j1] [c7] [c6] [c5] [c4]
[j145] [j137] [j136] [i67] [i66] [j124] [j122] [i54] [i52] [i51] [i48] [i45] [i40] [i39] [i38] [i32] [i25] [j116] [j115] [j112] [c102] [c101] [c98] [c97] [j93] [j92] [c87] [c85] [c75] [c74] [c73] [i9] [i8] [i7] [j85] [c69] [c60] [j80] [c59] [c56] [j69] [c52] [j63] [c42] [c39] [j50] [c33] [c30] [j48] [c29] [c25] [c19]
Jesús Malo
aka: Jesus Malo
aka: Jesus Malo
José D. Martín-Guerrero
aka: José David Martín-Guerrero
aka: José David Martín-Guerrero
Gonzalo Mateo-Garcia
aka: Gonzalo Mateo-García
aka: Gonzalo Mateo-García
Álvaro Moreno-Martínez
aka: Álvaro Moreno
aka: Álvaro Moreno
[c125] [j146] [d2] [j137] [j135] [j134] [j133] [j131] [c118] [c117] [c116] [i60] [j125] [c111] [i50] [i47] [i45] [i44] [i34] [i31] [i30] [i27] [i24] [i21] [i20] [j114] [c107] [j112] [j108] [j104] [j102] [j101] [c103] [c102] [c99] [c91] [j95] [c79] [c75] [c74] [c73] [j90] [j89] [j82] [c70] [c67] [c60] [j81] [j78] [j76] [j72] [c50] [c47] [c46] [c45] [j62] [j61] [j59] [c43] [j56] [j49] [c34] [c33] [j41] [c28] [j39] [j36] [c23] [c22] [p2] [j33] [j31] [j30] [c16] [j27] [j26] [c14] [c13] [c12] [j19] [j15]
José Antonio Padrón-Hidalgo
aka: José Antonio Padrón
aka: José Antonio Padrón
Adrián Pérez-Suay
aka: Adrian Perez-Suay
aka: Adrian Perez-Suay
Juan Pablo Rivera
aka: Juan Pablo Rivera Caicedo
aka: Juan Pablo Rivera Caicedo
Antonio J. Serrano
aka: Antonio J. Serrano-López
aka: Antonio J. Serrano-López
Daniel H. Svendsen
aka: Daniel Heestermans Svendsen
aka: Daniel Heestermans Svendsen
Jorge Vicent 0001
aka: Jorge Vicent Servera
aka: Jorge Vicent Servera
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