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Jordi Muñoz-Marí
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2020 – today
- 2024
- [c36]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 - 2023
- [j43]Valero Laparra
, Adrián Pérez-Suay
Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System. Rev. Iberoam. de Tecnol. del Aprendiz. 18(3): 233-238 (2023) - [j42]Anna Mateo-Sanchis
Interpretable Long Short-Term Memory Networks for Crop Yield Estimation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [d1]Michele Ronco
Exploring interactions between socioeconomic context and natural hazards on human population displacement. Zenodo, 2023 - 2022
- [j41]Gustau Camps-Valls
Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j40]María Piles
Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j39]Jorge Vicent Servera
Systematic Assessment of MODTRAN Emulators for Atmospheric Correction. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j38]Daniel Heestermans Svendsen
Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j37]Anna Mateo-Sanchis, Maria Piles
Learning main drivers of crop progress and failure in Europe with interpretable machine learning. Int. J. Appl. Earth Obs. Geoinformation 104: 102574 (2021) - [c35]Maria Piles
Global Cropland Yield Monitoring with Gaussian Processes. IGARSS 2021: 180-183 - [c34]Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez
Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. IGARSS 2021: 309-312 - [c33]Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés
Physics-Aware Machine Learning for Geosciences and Remote Sensing. IGARSS 2021: 2086-2089 - [i14]Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí:
A survey of active learning algorithms for supervised remote sensing image classification. CoRR abs/2104.07784 (2021) - [i13]Devis Tuia, Jordi Muñoz-Marí:
Learning User's confidence for active learning. CoRR abs/2104.07791 (2021) - [i12]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) - 2020
- [j36]Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Inf. Fusion 63: 256-272 (2020) - [c32]Álvaro Moreno-Martínez
Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. IGARSS 2020: 2320-2323 - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]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)
2010 – 2019
- 2019
- [j35]José E. Adsuara
Nonlinear Distribution Regression for Remote Sensing Applications. IEEE Trans. Geosci. Remote. Sens. 57(12): 10025-10035 (2019) - [c31]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 - 2018
- [j34]Gustau Camps-Valls
Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. 68: 69-82 (2018) - [j33]Anna Mateo-Sanchis
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. IEEE Geosci. Remote. Sens. Lett. 15(11): 1647-1651 (2018) - [j32]Gonzalo Mateo-Garcia
Multitemporal Cloud Masking in the Google Earth Engine. Remote. Sens. 10(7): 1079 (2018) - [j31]Adrian Perez-Suay
Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 3977-3987 (2018) - [j30]Jorge Vicent
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) - [c30]Jorge Vicent, Jochem Verrelst
Statistical Learning For End-To-End Simulations. IGARSS 2018: 1699-1702 - [c29]Francisco Javier García-Haro
Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. IGARSS 2018: 1826-1829 - [c28]Anna Mateo-Sanchis, Jordi Muñoz-Marí, Manuel Campos-Taberner
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. IGARSS 2018: 4039-4042 - [c27]Maria Piles
Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors. IGARSS 2018: 8259-8262 - 2017
- [j29]Jochem Verrelst
SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra. Remote. Sens. 9(9): 927 (2017) - [c26]Gonzalo Mateo-Garcia
Cloud detection on the Google Earth engine platform. IGARSS 2017: 1942-1945 - [c25]Luis Gómez-Chova
Cloud detection machine learning algorithms for PROBA-V. IGARSS 2017: 2251-2254 - [c24]Valero Laparra
Nonlinear statistical retrieval of surface emissivity from IASI data. IGARSS 2017: 5450-5453 - [c23]Adrián Pérez-Suay
Fair Kernel Learning. ECML/PKDD (1) 2017: 339-355 - [c22]Gustau Camps-Valls
Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) 2017: 205-217 - 2016
- [j28]Jochem Verrelst
Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. IEEE Geosci. Remote. Sens. Lett. 13(7): 1012-1016 (2016) - [j27]Jochem Verrelst
Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis. Remote. Sens. 8(8): 673 (2016) - 2015
- [j26]Juan Pablo Rivera
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning. Remote. Sens. 7(7): 9347-9370 (2015) - [c21]Jordi Muñoz-Marí, Jochem Verrelst
Biophysical parameter retrieval with warped Gaussian processes. IGARSS 2015: 13-16 - [c20]Luis Gómez-Chova
Operational cloud screening service for Sentinel-2 image time series. IGARSS 2015: 334-337 - [c19]Fernando Mateo
Learning Structures in Earth Observation Data with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 78-94 - 2014
- [j25]José Luis Rojo-Álvarez
A unified SVM framework for signal estimation. Digit. Signal Process. 26: 1-20 (2014) - [j24]Sancho Salcedo-Sanz, Carlos Casanova-Mateo, Jordi Muñoz-Marí
Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 11(11): 1936-1940 (2014) - [j23]Juan Pablo Rivera Caicedo, Jochem Verrelst
Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1249-1259 (2014) - [j22]Devis Tuia
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1413-1419 (2014) - 2013
- [j21]Devis Tuia
Graph Matching for Adaptation in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 51(1): 329-341 (2013) - [j20]Devis Tuia
Learning User's Confidence for Active Learning. IEEE Trans. Geosci. Remote. Sens. 51(2): 872-880 (2013) - [c18]Luis Gómez-Chova
Kernel change discriminant analysis for multitemporal cloud masking. IGARSS 2013: 2974-2977 - [c17]Luis Gómez-Chova
Advances in synergy of AATSR-MERIS sensors for cloud detection. IGARSS 2013: 4391-4394 - [c16]Julia Amorós-López
A kernel regression approach to cloud and shadow detection in multitemporal images. MultiTemp 2013: 1-4 - [c15]Jordi Muñoz-Marí
Multiset Kernel CCA for multitemporal image classification. MultiTemp 2013: 1-4 - 2012
- [j19]Devis Tuia
Remote sensing image segmentation by active queries. Pattern Recognit. 45(6): 2180-2192 (2012) - [j18]Gustavo Camps-Valls
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) - [j17]Jordi Muñoz-Marí
Semisupervised Classification of Remote Sensing Images With Active Queries. IEEE Trans. Geosci. Remote. Sens. 50(10): 3751-3763 (2012) - [c14]Alfredo Rosado Muñoz
Web Monitoring System and Gateway for Serial Communication PLC. CESCIT 2012: 296-301 - [c13]Devis Tuia
Putting the user into the active learning loop: Towards realistic but efficient photointerpretation. IGARSS 2012: 75-78 - [c12]Mirco Furlani, Devis Tuia
Discovering single classes in remote sensing images with active learning. IGARSS 2012: 7341-7344 - 2011
- [j16]Devis Tuia
A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. IEEE J. Sel. Top. Signal Process. 5(3): 606-617 (2011) - [j15]Fernando García-Vílchez, Jordi Muñoz-Marí
On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing. IEEE Geosci. Remote. Sens. Lett. 8(2): 253-257 (2011) - [j14]Devis Tuia
Structured Output SVM for Remote Sensing Image Classification. J. Signal Process. Syst. 65(3): 301-310 (2011) - [c11]Devis Tuia
Large scale semi-supervised image segmentation with active queries. IGARSS 2011: 2653-2656 - [c10]Gustavo Camps-Valls
Kernel-based retrieval of atmospheric profiles from IASI data. IGARSS 2011: 2813-2816 - [c9]Devis Tuia
Graph matching for efficient classifiers adaptation. IGARSS 2011: 3712-3715 - 2010
- [j13]Jordi Muñoz-Marí
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 48(8): 3188-3197 (2010) - [c8]Devis Tuia
Cluster-based active learning for compact image classification. IGARSS 2010: 2824-2827
2000 – 2009
- 2009
- [j12]Gustavo Camps-Valls
Learning non-linear time-scales with kernel gamma-filters. Neurocomputing 72(4-6): 1324-1328 (2009) - [j11]Gustavo Camps-Valls
Biophysical Parameter Estimation With a Semisupervised Support Vector Machine. IEEE Geosci. Remote. Sens. Lett. 6(2): 248-252 (2009) - [c7]Gustavo Camps-Valls
Biophysical Parameter Estimation with Adaptive Gaussian Processes. IGARSS (4) 2009: 69-72 - [c6]Luis Gómez-Chova
Cloud Screening with Combined MERIS and AATSR Images. IGARSS (4) 2009: 761-764 - [p1]Jordi Muñoz-Marí
Parallel Implementations of SVM for Earth Observation. Parallel Programming, Models and Applications in Grid and P2P Systems 2009: 292-312 - 2008
- [j10]José Luis Rojo-Álvarez
Sparse Deconvolution Using Support Vector Machines. EURASIP J. Adv. Signal Process. 2008 (2008) - [j9]Luis Gómez-Chova
Semisupervised Image Classification With Laplacian Support Vector Machines. IEEE Geosci. Remote. Sens. Lett. 5(3): 336-340 (2008) - [j8]Gustavo Camps-Valls
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. IEEE Trans. Geosci. Remote. Sens. 46(6): 1822-1835 (2008) - [c5]Gustavo Camps-Valls
Semi-Supervised Support Vector Biophysical Parameter Estimation. IGARSS (3) 2008: 1131-1134 - 2007
- [j7]Gustavo Camps-Valls
Nonlinear System Identification With Composite Relevance Vector Machines. IEEE Signal Process. Lett. 14(4): 279-282 (2007) - [j6]Jordi Muñoz-Marí
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 45(8): 2683-2692 (2007) - [c4]Jordi Muñoz-Marí
Combination of one-class remote sensing image classifiers. IGARSS 2007: 1509-1512 - [c3]Luis Gómez-Chova
Semi-supervised cloud screening with Laplacian SVM. IGARSS 2007: 1521-1524 - [c2]Gustavo Camps-Valls
Hyperspectral image classification with mahalanobis relevance vector machines. IGARSS 2007: 3802-3805 - 2006
- [j5]Javier Calpe-Maravilla, Joan Vila-Francés
400 - to 1000 - nm imaging spectrometer based on acousto-optic tunable filters. J. Electronic Imaging 15(2): 023001 (2006) - [j4]Gustavo Camps-Valls
Composite kernels for hyperspectral image classification. IEEE Geosci. Remote. Sens. Lett. 3(1): 93-97 (2006) - [j3]Manel Martínez-Ramón, José Luis Rojo-Álvarez
Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks 17(6): 1617-1622 (2006) - 2005
- [j2]Joan Vila-Francés
SmartSpectra: Applying multispectral imaging to industrial environments. Real Time Imaging 11(2): 85-98 (2005) - [c1]Alfredo Rosado Muñoz, Emilio Soria-Olivas, Joan Vila-Francés, Jordi Muñoz-Marí, Javier Calpe-Maravilla:
Implementation Challenges in Complex Adaptive Systems. ReCoSoC 2005: 157-162 - 2004
- [j1]Ignacio García-Fernández
Crane collision modelling using a neural network approach. Expert Syst. Appl. 27(3): 341-348 (2004)
Coauthor Index
Javier Calpe-Maravilla
aka: Javier Calpe
aka: Javier Calpe
Gustau Camps-Valls
aka: Gustavo Camps-Valls
aka: Gustavo Camps-Valls
[c36] [j42] [d1] [j41] [j40] [j39] [j38] [j37] [c35] [c34] [c33] [i12] [j36] [c32] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j35] [c31] [j34] [j33] [j32] [j31] [j30] [c30] [c29] [c28] [c27] [j29] [c25] [c24] [c23] [c22] [j28] [j27] [j26] [c21] [c20] [c19] [j25] [j24] [j23] [j22] [c18] [c17] [c16] [c15] [j19] [j18] [j17] [c12] [j15] [j14] [c11] [c10] [j13] [c8] [j12] [j11] [c7] [c6] [p1] [j10] [j9] [j8] [c5] [j7] [j6] [c4] [c3] [c2] [j4] [j3]
Adrián Pérez-Suay
aka: Adrian Perez-Suay
aka: Adrian Perez-Suay
Maria Piles
aka: María Piles
aka: María Piles
Juan Pablo Rivera
aka: Juan Pablo Rivera Caicedo
aka: Juan Pablo Rivera Caicedo
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last updated on 2024-10-15 20:44 CEST by the dblp team
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