Miguel-Ángel Fernández-Torres

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Calibration and uncertainty quantification for deep learning-based drought detection.
Int. J. Appl. Earth Obs. Geoinformation
Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
2025 J jnl
On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification.
CoRR
Rodrigo Almeida, Noelia Otero, Miguel-Ángel Fernández-Torres, Jackie Ma
2024 J jnl
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges.
CoRR
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
2024 J jnl
Deep Learning With Noisy Labels for Spatiotemporal Drought Detection.
IEEE Trans. Geosci. Remote. Sens.
Jordi Cortés-Andrés, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
2024 J jnl
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes.
CoRR
Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha
2024 J jnl
Explainable Earth Surface Forecasting under Extreme Events.
CoRR
Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls
2024 J jnl
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing.
CoRR
Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Hiba Najjar, Dário A. B. Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu
2024 — conf
Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing.
XAI4CV
Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Dário A. B. Oliveira, Xiao Xiang Zhu
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
Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding.
CoRR
Miguel-Ángel Fernández-Torres
2021 J jnl
Deep Learning Methods for Daily Wildfire Danger Forecasting.
CoRR
Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais