Adrián Pérez-Suay

39 papers C 7Journal 30Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On Learning the Arithmetic Mean in Fourth-Year Secondary Education Using Eye-Tracking: A Pilot Study.
Rev. Iberoam. de Tecnol. del Aprendiz.
Júlia Vicens Figueres, Adrián Pérez-Suay, Ana Belen Pascual Venteo, Steven Van Vaerenbergh, Ismael García-Bayona
2025 J jnl
Exploring the Influence of Visual Aids in Mathematical Problem Solving: An Eye-Tracking Study With Prospective Teachers.
IEEE Trans. Educ.
Ismael García-Bayona, Adrián Pérez-Suay, Steven Van Vaerenbergh, Ana Belen Pascual Venteo
2025 J jnl
PLS-based approach for fair representation learning.
CoRR
Elena M. De-Diego, Adrián Pérez-Suay, Paula Gordaliza, Jean-Michel Loubes
2024 J jnl
Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery.
Remote. Sens.
Ana Belen Pascual Venteo, Jose L. Garcia, Katja Berger, José Estévez, Jorge Vicent, Adrián Pérez-Suay, Shari Van Wittenberghe, Jochem Verrelst
2024 J jnl
Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes.
Rev. Iberoam. de Tecnol. del Aprendiz.
Adrián Pérez-Suay, Valero Laparra, Steven Van Vaerenbergh, Ana Belen Pascual Venteo
2023 J jnl
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.
Valero Laparra, Adrián Pérez-Suay, María Piles, Jordi Muñoz-Marí, Julia Amorós-López, Roberto Fernandez-Moran, Miguel-Ángel Fernández-Torres, José E. Adsuara
2023 J jnl
Data-Driven Modeling Through the Moodle Learning Management System: An Empirical Study Based on a Mathematics Teaching Subject.
Rev. Iberoam. de Tecnol. del Aprendiz.
Adrián Pérez-Suay, Steven Van Vaerenbergh, Pascual D. Diago, Ana Belen Pascual Venteo, Francesc J. Ferri
2023 J jnl
Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-Like Imagery With Uncertainty.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Miguel Morata, Bastian Siegmann, Adrián Pérez-Suay, José Luis García-Soria, Juan Pablo Rivera Caicedo, Jochem Verrelst
2022 C conf
Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks.
IGARSS
Miguel Morata, Bastian Siegmann, Adrián Pérez-Suay, Juan Pablo Rivera Caicedo, Jochem Verrelst
2022 J jnl
Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape.
Remote. Sens.
Masoumeh Aghababaei, Ataollah Ebrahimi, Ali Asghar Naghipour, Esmaeil Asadi, Adrián Pérez-Suay, Miguel Morata, Jose L. Garcia, Juan Pablo Rivera Caicedo, Jochem Verrelst
2022 J jnl
Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness.
Pattern Recognit.
Zhu Li, Adrián Pérez-Suay, Gustau Camps-Valls, Dino Sejdinovic
2022 J jnl
Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data.
Remote. Sens.
Ana Belen Pascual Venteo, Enrique Portales, Katja Berger, Giulia Tagliabue, Jose L. Garcia, Adrián Pérez-Suay, Juan Pablo Rivera Caicedo, Jochem Verrelst
2021 J jnl
A Classification of Artificial Intelligence Systems for Mathematics Education.
CoRR
Steven Van Vaerenbergh, Adrián Pérez-Suay
2021 J jnl
Efficient Nonlinear RX Anomaly Detectors.
IEEE Geosci. Remote. Sens. Lett.
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
2021 C conf
Physics-Aware Machine Learning for Geosciences and Remote Sensing.
IGARSS
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
2020 J jnl
A deep network approach to multitemporal cloud detection.
CoRR
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
2020 J jnl
Causal Inference in Geoscience and Remote Sensing from Observational Data.
CoRR
Adrián Pérez-Suay, Gustau Camps-Valls
2020 J jnl
Causal Inference in Geosciences with Kernel Sensitivity Maps.
CoRR
Adrián Pérez-Suay, Gustau Camps-Valls
2020 J jnl
Consistent regression of biophysical parameters with kernel methods.
CoRR
Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls
2020 C conf
Discovering Differential Equations from Earth Observation Data.
IGARSS
José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha
2020 C conf
Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine.
IGARSS
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
2020 J jnl
Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls
2020 J jnl
Efficient Nonlinear RX Anomaly Detectors.
CoRR
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
2020 C conf
Interpretability of Recurrent Neural Networks in Remote Sensing.
IGARSS
Adrián Pérez-Suay, José E. Adsuara, María Piles, Laura Martínez-Ferrer, Emiliano Diaz, Álvaro Moreno-Martínez, Gustau Camps-Valls
2020 J jnl
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.
CoRR
Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
2020 J jnl
Living in the Physics and Machine Learning Interplay for Earth Observation.
CoRR
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
2020 J jnl
Nonlinear Cook distance for Anomalous Change Detection.
CoRR
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls
2020 J jnl
Nonlinear Distribution Regression for Remote Sensing Applications.
CoRR
José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls
2020 J jnl
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks.
CoRR
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls
2020 J jnl
Randomized RX for target detection.
CoRR
Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls
2020 J jnl
Randomized kernels for large scale Earth observation applications.
CoRR
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls
2020 J jnl
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference.
CoRR
Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay, Gustau Camps-Valls
2019 C conf
Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks.
IGARSS
Gonzalo Mateo-Garcia, José E. Adsuara, Adrián Pérez-Suay, Luis Gómez-Chova
2019 J jnl
Nonlinear Distribution Regression for Remote Sensing Applications.
IEEE Trans. Geosci. Remote. Sens.
José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls
2018 C conf
A Deep Network Approach to Multitemporal Cloud Detection.
IGARSS
Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls
2018 J jnl
Sensitivity maps of the Hilbert-Schmidt independence criterion.
Appl. Soft Comput.
Adrián Pérez-Suay, Gustau Camps-Valls
2017 — conf
Fair Kernel Learning.
ECML/PKDD (1)
Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls
2014 — conf
About Combining Metric Learning and Prototype Generation.
S+SSPR
Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, Jesús V. Albert
2013 J jnl
Passive-aggressive online distance metric learning and extensions.
Prog. Artif. Intell.
Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez