default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAdrián Pérez-Suay
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[i17]Elena M. De-Diego, Adrián Pérez-Suay, Paula Gordaliza, Jean-Michel Loubes:
PLS-based approach for fair representation learning. CoRR abs/2502.16263 (2025)- 2024
- [j19]Adrián Pérez-Suay
, Valero Laparra, Steven Van Vaerenbergh, Ana Belen Pascual Venteo:
Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes. Rev. Iberoam. de Tecnol. del Aprendiz. 19: 169-175 (2024) - [j18]Ana Belen Pascual Venteo, Jose L. Garcia, Katja Berger, José Estévez, Jorge Vicent, Adrián Pérez-Suay, Shari Van Wittenberghe, Jochem Verrelst:
Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery. Remote. Sens. 16(7): 1211 (2024) - 2023
- [j17]Adrián Pérez-Suay, Steven Van Vaerenbergh, Pascual D. Diago, Ana Belen Pascual Venteo, Francesc J. Ferri:
Data-Driven Modeling Through the Moodle Learning Management System: An Empirical Study Based on a Mathematics Teaching Subject. Rev. Iberoam. de Tecnol. del Aprendiz. 18(1): 19-27 (2023) - [j16]Valero Laparra, Adrián Pérez-Suay, María Piles, Jordi Muñoz-Marí, Julia Amorós-López, Roberto Fernandez-Moran, Miguel-Ángel Fernández-Torres, José E. Adsuara:
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) - [j15]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) - [j14]Miguel Morata, Bastian Siegmann, Adrián Pérez-Suay, José Luis García-Soria, Juan Pablo Rivera Caicedo, Jochem Verrelst:
Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-Like Imagery With Uncertainty. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 762-772 (2023) - [j13]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) - 2022
- [j12]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) - [j11]Ana Belen Pascual Venteo, Enrique Portales, Katja Berger, Giulia Tagliabue, Jose L. Garcia, Adrián Pérez-Suay, Juan Pablo Rivera Caicedo, Jochem Verrelst:
Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data. Remote. Sens. 14(10): 2448 (2022) - [j10]Masoumeh Aghababaei, Ataollah Ebrahimi, Ali Asghar Naghipour, Esmaeil Asadi, Adrián Pérez-Suay, Miguel Morata, Jose L. Garcia, Juan Pablo Rivera Caicedo, Jochem Verrelst:
Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape. Remote. Sens. 14(18): 4452 (2022) - [c20]Miguel Morata, Bastian Siegmann, Adrián Pérez-Suay, Juan Pablo Rivera Caicedo, Jochem Verrelst:
Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks. IGARSS 2022: 5401-5404 - 2021
- [j9]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) - [c19]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 - [i16]Steven Van Vaerenbergh, Adrián Pérez-Suay:
A Classification of Artificial Intelligence Systems for Mathematics Education. CoRR abs/2107.06015 (2021) - 2020
- [j8]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) - [c18]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 - [c17]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 - [c16]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 - [i15]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) - [i14]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) - [i13]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) - [i12]Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent regression of biophysical parameters with kernel methods. CoRR abs/2012.04922 (2020) - [i11]Adrián Pérez-Suay, Gustau Camps-Valls:
Causal Inference in Geoscience and Remote Sensing from Observational Data. CoRR abs/2012.05150 (2020) - [i10]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Efficient Nonlinear RX Anomaly Detectors. CoRR abs/2012.05799 (2020) - [i9]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) - [i8]Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A deep network approach to multitemporal cloud detection. CoRR abs/2012.10393 (2020) - [i7]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) - [i6]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) - [i5]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook distance for Anomalous Change Detection. CoRR abs/2012.12307 (2020) - [i4]Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for target detection. CoRR abs/2012.12308 (2020) - [i3]Adrián Pérez-Suay, Gustau Camps-Valls:
Causal Inference in Geosciences with Kernel Sensitivity Maps. CoRR abs/2012.14303 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]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) - [c15]Gonzalo Mateo-Garcia, José E. Adsuara, Adrián Pérez-Suay, Luis Gómez-Chova:
Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks. IGARSS 2019: 210-213 - [i2]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) - 2018
- [j5]Adrián Pérez-Suay, Gustau Camps-Valls:
Sensitivity maps of the Hilbert-Schmidt independence criterion. Appl. Soft Comput. 70: 1054-1063 (2018) - [j4]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) - [j3]Adrian Perez-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. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 3977-3987 (2018) - [j2]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Remote Sensing Image Classification With Large-Scale Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. 56(2): 1103-1114 (2018) - [c14]Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent Regression of Biophysical Parameters with Kernel Methods. IGARSS 2018: 4047-4050 - [c13]Fatih Nar, Adrian Perez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for Target Detection. IGARSS 2018: 4237-4240 - [c12]Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A Deep Network Approach to Multitemporal Cloud Detection. IGARSS 2018: 4351-4354 - [c11]José Antonio Padrón-Hidalgo, Adrian Perez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook Distance for Anomalous Change Detection. IGARSS 2018: 5025-5028 - 2017
- [c10]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos:
Passive millimeter wave image classification with large scale Gaussian processes. ICIP 2017: 370-374 - [c9]Adrian Perez-Suay, Gustau Camps-Valls:
Causal inference in geosciences with kernel sensitivity maps. IGARSS 2017: 763-766 - [c8]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Efficient remote sensing image classification with Gaussian processes and Fourier features. IGARSS 2017: 2227-2230 - [c7]Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls:
Fair Kernel Learning. ECML/PKDD (1) 2017: 339-355 - [i1]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Remote Sensing Image Classification with Large Scale Gaussian Processes. CoRR abs/1710.00575 (2017) - 2014
- [c6]Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, Jesús V. Albert:
About Combining Metric Learning and Prototype Generation. S+SSPR 2014: 323-332 - 2013
- [j1]Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez:
Passive-aggressive online distance metric learning and extensions. Prog. Artif. Intell. 2(1): 85-96 (2013) - [c5]Adrian Perez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, Jesús V. Albert:
Comparative Evaluation of Batch and Online Distance Metric Learning Approaches Based on Margin Maximization. SMC 2013: 3511-3515 - 2012
- [c4]Adrian Perez-Suay, Francesc J. Ferri:
Online Metric Learning Methods Using Soft Margins and Least Squares Formulations. SSPR/SPR 2012: 373-381 - 2011
- [c3]Adrian Perez-Suay, Francesc J. Ferri, Jesús V. Albert:
An Online Metric Learning Approach through Margin Maximization. IbPRIA 2011: 500-507
2000 – 2009
- 2009
- [c2]Adrian Perez-Suay, Francesc J. Ferri, Jesús V. Albert:
A Random Extension for Discriminative Dimensionality Reduction and Metric Learning. IbPRIA 2009: 370-377 - 2008
- [c1]Adrian Perez-Suay, Francesc J. Ferri:
Scaling Up a Metric Learning Algorithm for Image Recognition and Representation. ISVC (2) 2008: 592-601
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-21 23:58 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
