Gustau Camps-Valls

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 197

Top Venues

CoRR

IGARSS

IEEE Trans. Geosci. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Publications

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 (2024)
Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR (2024)
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 (2024)
Gherardo Varando, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls
Pairwise causal discovery with support measure machines. Appl. Soft Comput. 150 (2024)
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)
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 (2023)
Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls
Evaluating the Impact of Humanitarian Aid on Food Security. CoRR (2023)
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 (2023)
Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Víctor Elvira, Émilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls
Graphs in State-Space Models for Granger Causality in Climate Science. CoRR (2023)
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 (2023)
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 (2023)
Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. NeurIPS (2023)
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) (2023)
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 (2023)
Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann
Understanding cirrus clouds using explainable machine learning. CoRR (2023)
Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gustau Camps-Valls
Explainability of End and Mid-Season Cotton Yield Predictors In Conus. IGARSS (2023)
Michele Ronco, Gustau Camps-Valls
Role of locality, fidelity and symmetry regularization in learning explainable representations. Neurocomputing 562 (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. CoRR (2022)
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 (2022)
José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls
Learning Relevant Features of Optical Water Types. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. CoRR (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. NAIS (2022)
Gülsen Taskin, Gustau Camps-Valls
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Zhu Li, Adrián Pérez-Suay, Gustau Camps-Valls, Dino Sejdinovic
Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness. Pattern Recognit. 132 (2022)
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 (2021)
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 (2021)
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
Efficient Nonlinear RX Anomaly Detectors. IEEE Geosci. Remote. Sens. Lett. 18 (2) (2021)
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 (2021)
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)
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)
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 (2021)
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)
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) (2021)
Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR (2021)
Gülsen Taskin, Gustau Camps-Valls
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR (2021)
Laura Martínez-Ferrer, Maria Piles, Gustau Camps-Valls
Crop Yield Estimation and Interpretability With Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 18 (12) (2021)
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)
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 (2020)
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
A deep network approach to multitemporal cloud detection. CoRR (2020)
Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls
Deep Gaussian Processes for geophysical parameter retrieval. CoRR (2020)
Devis Tuia, Diego Marcos, Gustau Camps-Valls
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR (2020)
Gustau Camps-Valls, Markus Reichstein, Xiaoxiang Zhu, Devis Tuia
ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY. IGARSS (2020)
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 (2020)
Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi
Retrieval of Case 2 Water Quality Parameters with Machine Learning. CoRR (2020)
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)
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 (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
Information Theory in Density Destructors. CoRR (2020)
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 (2020)
Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge, Markus Reichstein
A Perspective on Gaussian Processes for Earth Observation. CoRR (2020)
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 (2020)
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 (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR (2020)
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
Nonlinear Cook distance for Anomalous Change Detection. CoRR (2020)
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 (2020)
David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
Spatial noise-aware temperature retrieval from infrared sounder data. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo
Information Theory Measures via Multidimensional Gaussianization. CoRR (2020)
Miguel Morata-Dolz, Diego Bueso, Maria Piles, Gustau Camps-Valls
Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
Gülsen Taskin, Gustau Camps-Valls
Manifold Learning with High Dimensional Model Representations. IGARSS (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. 17 (3) (2020)
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 (2020)
Diego Bueso, Maria Piles, Gustau Camps-Valls
Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data. IEEE Trans. Geosci. Remote. Sens. 58 (8) (2020)
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)
Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí, Gustau Camps-Valls
Cloud detection machine learning algorithms for PROBA-V. CoRR (2020)
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 (2020)
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
Efficient Nonlinear RX Anomaly Detectors. CoRR (2020)
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 (2020)
José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
Kernel Anomalous Change Detection for Remote Sensing Imagery. CoRR (2020)
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 (2020)
Luca Martino, Víctor Elvira, Gustau Camps-Valls
Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP (2020)
Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls
Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. ICASSP (2020)
Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
Active emulation of computer codes with Gaussian processes - Application to remote sensing. Pattern Recognit. 100 (2020)
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)
Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls
Consistent regression of biophysical parameters with kernel methods. CoRR (2020)
Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay, Gustau Camps-Valls
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. CoRR (2020)
Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls
Sparsity-driven Digital Terrain Model Extraction. CoRR (2020)
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR (2020)
Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls
Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR (2020)
Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls
Randomized RX for target detection. CoRR (2020)
Adrián Pérez-Suay, Gustau Camps-Valls
Causal Inference in Geosciences with Kernel Sensitivity Maps. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gustau Camps-Valls