Adrián Pérez-Suay
Adrián Pérez-Suay
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Fair kernel learning
A Pérez-Suay, V Laparra, G Mateo-García, J Muñoz-Marí, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
442017
Remote sensing image classification with large-scale Gaussian processes
P Morales-Alvarez, A Pérez-Suay, R Molina, G Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1103-1114, 2017
242017
Synergistic integration of optical and microwave satellite data for crop yield estimation
A Mateo-Sanchis, M Piles, J Muñoz-Marí, JE Adsuara, A Pérez-Suay, ...
Remote sensing of environment 234, 111460, 2019
202019
Randomized kernels for large scale Earth observation applications
A Pérez-Suay, J Amorós-López, L Gómez-Chova, V Laparra, ...
Remote Sensing of Environment 202, 54-63, 2017
172017
Warped Gaussian processes in remote sensing parameter estimation and causal inference
A Mateo-Sanchis, J Muñoz-Marí, A Pérez-Suay, G Camps-Valls
IEEE Geoscience and Remote Sensing Letters 15 (11), 1647-1651, 2018
92018
Nonlinear distribution regression for remote sensing applications
JE Adsuara, A Pérez-Suay, J Muñoz-Marí, A Mateo-Sanchis, M Piles, ...
IEEE Transactions on Geoscience and Remote Sensing 57 (12), 10025-10035, 2019
82019
Sensitivity maps of the Hilbert–Schmidt independence criterion
A Pérez-Suay, G Camps-Valls
Applied Soft Computing 70, 1054-1063, 2018
82018
Comparative evaluation of batch and online distance metric learning approaches based on margin maximization
A Pérez-Suay, FJ Ferri, M Arevalillo-Herráez, JV Albert
2013 IEEE International Conference on Systems, Man, and Cybernetics, 3511-3515, 2013
82013
An online metric learning approach through margin maximization
A Perez-Suay, FJ Ferri, JV Albert
Iberian Conference on Pattern Recognition and Image Analysis, 500-507, 2011
72011
Causal Inference in Geoscience and Remote Sensing From Observational Data
A Pérez-Suay, G Camps-Valls
IEEE Transactions on geoscience and remote sensing 57 (3), 1502-1513, 2018
62018
Passive–aggressive online distance metric learning and extensions
A Pérez-Suay, FJ Ferri, M Arevalillo-Herráez
Progress in Artificial Intelligence 2 (1), 85-96, 2013
62013
Kernel dependence regularizers and gaussian processes with applications to algorithmic fairness
Z Li, A Perez-Suay, G Camps-Valls, D Sejdinovic
arXiv preprint arXiv:1911.04322, 2019
52019
Hyperlabelme: A web platform for benchmarking remote-sensing image classifiers
J Munoz-Mari, E Izquierdo-Verdiguier, M Campos-Taberner, ...
IEEE geoscience and remote sensing magazine 5 (4), 79-85, 2017
52017
Online metric learning methods using soft margins and least squares formulations
A Perez-Suay, FJ Ferri
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2012
52012
Scaling up a metric learning algorithm for image recognition and representation
A Perez-Suay, FJ Ferri
International Symposium on Visual Computing, 592-601, 2008
52008
A deep network approach to multitemporal cloud detection
D Tuia, B Kellenberger, A Pérez-Suey, G Camps-Valls
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
42018
A random extension for discriminative dimensionality reduction and metric learning
A Perez-Suay, FJ Ferri, JV Albert
Iberian Conference on Pattern Recognition and Image Analysis, 370-377, 2009
42009
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
JE Johnson, V Laparra, A Pérez-Suay, MD Mahecha, G Camps-Valls
PloS one 15 (10), e0235885, 2020
32020
Pattern recognition scheme for large-scale cloud detection over landmarks
A Pérez-Suay, J Amorós-López, L Gómez-Chova, J Muñoz-Marí, D Just, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
32018
About combining metric learning and prototype generation
A Perez-Suay, FJ Ferri, M Arevalillo-Herráez, JV Albert
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2014
32014
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