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ORCIDGustau Camps-Valls
Gustavo Camps-Valls
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- affiliation: Image Processing Laboratory, Parc Científic Universitat de València, València, Spain
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2020 – today
- 2024
[j153]Gherardo Varando
, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls:
Pairwise causal discovery with support measure machines. Appl. Soft Comput. 150: 111030 (2024)- [j152]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) - [j151]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) - [j150]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) - [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]