default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGustau Camps-Valls
Gustavo Camps-Valls
Person information
- affiliation: Image Processing Laboratory, Parc Científic Universitat de València, València, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j158]Kai-Hendrik Cohrs
, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls:
Large language models for causal hypothesis generation in science. Mach. Learn. Sci. Technol. 6(1): 13001 (2025)- [j157]Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo:
Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1293-1308 (2025) - [j156]Jessenia Gonzalez, Sudhakar Dipu, Odran Sourdeval, Alexandre Siméon, Gustau Camps-Valls, Johannes Quaas:
Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 1896-1911 (2025) - [j155]Paolo Pelucchi, Jorge Vicent Servera, Philip Stier, Gustau Camps-Valls:
Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval. IEEE Trans. Geosci. Remote. Sens. 63: 1-13 (2025) - [i92]Nathan Mankovich, Ignacio Santamaría, Gustau Camps-Valls, Tolga Birdal:
A Flag Decomposition for Hierarchical Datasets. CoRR abs/2502.07782 (2025) - [i91]Chenyu Li, Danfeng Hong, Bing Zhang, Yuxuan Li, Gustau Camps-Valls, Xiao Xiang Zhu, Jocelyn Chanussot:
UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction. CoRR abs/2502.15199 (2025) - [i90]Homer Durand, Gherardo Varando, Gustau Camps-Valls:
Learning Causal Response Representations through Direct Effect Analysis. CoRR abs/2503.04358 (2025) - [i89]Spyros Kondylatos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis:
On the Generalization of Representation Uncertainty in Earth Observation. CoRR abs/2503.07082 (2025) - [i88]Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis:
Probabilistic Machine Learning for Noisy Labels in Earth Observation. CoRR abs/2504.03478 (2025) - 2024
- [j154]Gherardo Varando, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls:
Pairwise causal discovery with support measure machines. Appl. Soft Comput. 150: 111030 (2024) - [j153]C. Rajadel-Lambistos, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Marco P. Maneta, Santiago Beguería, John S. Kimball, Nicholas Clinton, Clement Atzberger, Gustau Camps-Valls, Steven W. Running:
Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series. Int. J. Digit. Earth 17(1) (2024) - [j152]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) - [j151]Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls:
Causal hybrid modeling with double machine learning - applications in carbon flux modeling. Mach. Learn. Sci. Technol. 5(3): 35021 (2024) - [j150]Jordi Cortés-Andrés, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls:
Deep Learning With Noisy Labels for Spatiotemporal Drought Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (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 - [i87]Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal:
Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR abs/2401.04071 (2024) - [i86]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) - [i85]Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls:
Improving generalisation via anchor multivariate analysis. CoRR abs/2403.01865 (2024) - [i84]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) - [i83]Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando, Gustau Camps-Valls:
Recovering Latent Confounders from High-dimensional Proxy Variables. CoRR abs/2403.14228 (2024) - [i82]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) - [i81]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) - [i80]Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-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) - [i79]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) - [i78]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) - [i77]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) - [i76]Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls:
Explainable Earth Surface Forecasting under Extreme Events. CoRR abs/2410.01770 (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]
[j157] [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-19 21:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
