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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
- 2023
[j145]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)- [j144]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) - [j143]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) - [j142]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) - [j141]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) - [j140]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) - [i73]Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
Understanding cirrus clouds using explainable machine learning. CoRR abs/2305.02090 (2023) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]Víctor Elvira, Émilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls:
Graphs in State-Space Models for Granger Causality in Climate Science. CoRR abs/2307.10703 (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]