Adrián Pérez-Suay

Shari Van Wittenberghe

Remote. Sens., April, 2024

Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes.

[BibT_eX]

[DOI]

Valero Laparra

Steven Van Vaerenbergh

Miguel-Ángel Fernández-Torres

Rev. Iberoam. de Tecnol. del Aprendiz., 2024

2023

Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System.

[BibT_eX]

[DOI]

Roberto Fernandez-Moran

Rev. Iberoam. de Tecnol. del Aprendiz., August, 2023

Data-Driven Modeling Through the Moodle Learning Management System: An Empirical Study Based on a Mathematics Teaching Subject.

[BibT_eX]

[DOI]

Steven Van Vaerenbergh

Pascual D. Diago

Rev. Iberoam. de Tecnol. del Aprendiz., February, 2023

Fair Kernel Regression through Cross-Covariance Operators.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-Like Imagery With Uncertainty.

[BibT_eX]

[DOI]

Miguel Morata

Bastian Siegmann

José Luis García-Soria

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Interpretable Long Short-Term Memory Networks for Crop Yield Estimation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks.

[BibT_eX]

[DOI]

Miguel Morata

Bastian Siegmann

José Antonio Padrón-Hidalgo

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Efficient Nonlinear RX Anomaly Detectors.

[BibT_eX]

[DOI]

Fatih Nar

IEEE Geosci. Remote. Sens. Lett., 2021

A Classification of Artificial Intelligence Systems for Mathematics Education.

[BibT_eX]

[DOI]

Steven Van Vaerenbergh

CoRR, 2021

Physics-Aware Machine Learning for Geosciences and Remote Sensing.

[BibT_eX]

[DOI]

Daniel H. Svendsen

Jordi Cortés-Andrés

José Antonio Padrón-Hidalgo

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Randomized kernels for large scale Earth observation applications.

[BibT_eX]

[DOI]

CoRR, 2020

Living in the Physics and Machine Learning Interplay for Earth Observation.

[BibT_eX]

[DOI]

Daniel H. Svendsen

Jordi Cortés-Andrés

CoRR, 2020

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.

[BibT_eX]

[DOI]

Juan Emmanuel Johnson

CoRR, 2020

Interpretability of Recurrent Neural Networks in Remote Sensing.

[BibT_eX]

[DOI]

María Piles

Laura Martínez-Ferrer

Emiliano Diaz

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine.

[BibT_eX]

[DOI]

Emma Izquierdo-Verdiguier

Marco P. Maneta

Jordi Muñoz-Marí

Nathaniel P. Robinson

Manuel Campos

F. Javier García-Haro

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Discovering Differential Equations from Earth Observation Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Causal Inference in Geoscience and Remote Sensing From Observational Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Nonlinear Distribution Regression for Remote Sensing Applications.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Remote Sensing Image Classification With Large-Scale Gaussian Processes.

[BibT_eX]

[DOI]

Pablo Morales-Alvarez

Rafael Molina

IEEE Trans. Geosci. Remote. Sens., 2018

Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2018

Sensitivity maps of the Hilbert-Schmidt independence criterion.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

A Deep Network Approach to Multitemporal Cloud Detection.

[BibT_eX]

[DOI]

Devis Tuia

Benjamin Kellenberger

José Antonio Padrón-Hidalgo

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Randomized RX for Target Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Nonlinear Cook Distance for Anomalous Change Detection.

[BibT_eX]

[DOI]

Fatih Nar

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Consistent Regression of Biophysical Parameters with Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Fair Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Causal inference in geosciences with kernel sensitivity maps.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Efficient remote sensing image classification with Gaussian processes and Fourier features.

[BibT_eX]

[DOI]

Pablo Morales-Alvarez

Rafael Molina

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Passive millimeter wave image classification with large scale Gaussian processes.

[BibT_eX]

[DOI]

Pablo Morales-Alvarez

Rafael Molina

Aggelos K. Katsaggelos

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014

About Combining Metric Learning and Prototype Generation.

[BibT_eX]

[DOI]

Miguel Arevalillo-Herráez

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

2013

Passive-aggressive online distance metric learning and extensions.

[BibT_eX]

[DOI]

Miguel Arevalillo-Herráez

Prog. Artif. Intell., 2013

Comparative Evaluation of Batch and Online Distance Metric Learning Approaches Based on Margin Maximization.

[BibT_eX]

[DOI]

Miguel Arevalillo-Herráez

Proceedings of the IEEE International Conference on Systems, 2013

2012

Online Metric Learning Methods Using Soft Margins and Least Squares Formulations.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011

An Online Metric Learning Approach through Margin Maximization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2009

A Random Extension for Discriminative Dimensionality Reduction and Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008

Scaling Up a Metric Learning Algorithm for Image Recognition and Representation.

[BibT_eX]

[DOI]