Adrián Pérez-Suay

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Gaussian Process

Causal Inference

Top Venues

Rev. Iberoam. de Tecnol. del Aprendiz.

Publications

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) (2024)
Adrián Pérez-Suay, Steven Van Vaerenbergh, Pascual D. Diago, Ana B. 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) (2023)
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) (2023)
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 (2023)
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)
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) (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)
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) (2022)
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)
Steven Van Vaerenbergh, Adrián Pérez-Suay
A Classification of Artificial Intelligence Systems for Mathematics Education. CoRR (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)
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
A deep network approach to multitemporal cloud detection. CoRR (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)
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, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. 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)
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)
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)
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
Efficient Nonlinear RX Anomaly Detectors. CoRR (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, 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)
Adrián Pérez-Suay, Gustau Camps-Valls
Causal Inference in Geoscience and Remote Sensing from Observational Data. CoRR (2020)
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)
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) (2019)
Adrián Pérez-Suay, Gustau Camps-Valls
Sensitivity maps of the Hilbert-Schmidt independence criterion. Appl. Soft Comput. 70 (2018)
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
A Deep Network Approach to Multitemporal Cloud Detection. IGARSS (2018)
Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls
Fair Kernel Learning. ECML/PKDD (1) (2017)
Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, Jesús V. Albert
About Combining Metric Learning and Prototype Generation. S+SSPR (2014)
Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez
Passive-aggressive online distance metric learning and extensions. Prog. Artif. Intell. 2 (1) (2013)