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Miguel‐Ángel Fernández‐Torres

Observed names: Fernández-Torres, Miguel Ángel, Fernández-Torres, Miguel-Ángel, M. A. Fernández-Torres, M. Á. Fernández-Torres, Miguel Angel Fernandez-Torres, Miguel Angel Fernández-Torres, Miguel Ángel Fernandez-Torres, Miguel Ángel Fernández-Torres, Miguel-Angel Fernandez-Torres, Miguel-Ángel Fernández-Torres, Miguel-Ángel Fernández-Torres
ORCID: 0000-0002-0801-199X
Observed ORCID: 0000-0002-0801-199X
OpenAlex ID: A5015653124
Artificial intelligence for modeling and understanding extreme weather and climate events
2025 · Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, et al. · Nature Communications · 417
Wildfire Danger Prediction and Understanding With Deep Learning
2022 · Spyros Kondylatos, Ioannis Prapas, et al. · Geophysical Research Letters · 200
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Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing
2024 · Adrian Höhl, Ivica Obadic, et al. · IEEE Geoscience and Remote Sensing Magazine · 123
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Explainability can foster trust in artificial intelligence in geoscience
2025 · Jesper Sören Dramsch, Monique M. Kuglitsch, et al. · Nature Geoscience · 56
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Deep Learning Methods for Daily Wildfire Danger Forecasting
2021 · Prapas, Ioannis, Kondylatos, Spyros, et al. · arXiv (Cornell University) · 42
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Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances
2025 · Maria Gonzalez-Calabuig, Miguel-Ángel Fernández-Torres, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 31
Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System
2023 · Valero Laparra, Adrián Pérez-Suay, et al. · IEEE Revista Iberoamericana de Tecnologias del Aprendizaje · 17
DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts
2025 · Chaonan Ji, Tonio Fincke, et al. · Scientific Data · 16
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Calibration and uncertainty quantification for deep learning-based drought detection
2025 · Mengxue Zhang, Miguel-Ángel Fernández-Torres, et al. · International Journal of Applied Earth Observation and Geoinformation · 15
Interpretable Global-Local Dynamics for the Prediction of Eye Fixations in Autonomous Driving Scenarios
2020 · Javier Martinez-Cebrian, Miguel-Angel Fernandez-Torres, et al. · IEEE Access · 14
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Explainable Earth Surface Forecasting Under Extreme Events
2025 · Oscar J. Pellicer‐Valero, Miguel‐Ángel Fernández‐Torres, et al. · Earth s Future · 10
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Domain knowledge-driven variational recurrent networks for drought monitoring
2024 · Mengxue Zhang, Miguel-Ángel Fernández-Torres, et al. · Remote Sensing of Environment · 10
Modulation of aqueous humor melatonin levels by yellow-filter and its protective effect on lens
2021 · Victoria Eugenia Lledó, Hanan Awad Alkozi, et al. · Journal of Photochemistry and Photobiology B Biology · 9
Deep Learning With Noisy Labels for Spatiotemporal Drought Detection
2024 · Jordi Cortés-Andrés, Miguel-Ángel Fernández-Torres, et al. · IEEE Transactions on Geoscience and Remote Sensing · 8
USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes
2023 · Adrian Höhl, Stella Ofori-Ampofo, et al. · EGU General Assembly Conference Abstracts · 7
Enriched dermoscopic-structure-based cad system for melanoma diagnosis
2017 · Javier López-Labraca, Miguel Ángel Fernández-Torres, et al. · Multimedia Tools and Applications · 7
A multivariate analysis of atmospheric drivers for Western European heatwaves
2026 · Aytaç Paçal, Birgit Hassler, et al. · Earth System Dynamics · 6
A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018–2022
2026 · Adrian Höhl, Stella Ofori-Ampofo, et al. · Scientific Data · 6
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Detecting Spatiotemporal Dynamics of Western European Heatwaves Using Deep Learning
2024 · T. Happé, J. S. Wijnands, et al. · Artificial Intelligence for the Earth Systems · 6
Probabilistic Topic Model for Context-Driven Visual Attention Understanding
2019 · Miguel-Angel Fernandez-Torres, Ivan Gonzalez-Diaz, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 6
The AIDE Toolbox: Artificial intelligence for disentangling extreme events [Software and Data Sets]
2024 · Maria Gonzalez-Calabuig, Jordi Cortés-Andrés, et al. · IEEE Geoscience and Remote Sensing Magazine · 5
Learning about Student Performance from Moodle logs in a Higher Education Context
2022 · Adrian Perez Suay, Steven Van Vaerenbergh, et al. · International Conference on Virtual Campus (JICV) · 5
On the Predictive Skill of Artificial Intelligence–Based Weather Models for Extreme Events Using Uncertainty Quantification
2026 · Rodrigo Almeida, Noelia Otero, et al. · Artificial Intelligence for the Earth Systems · 4
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Explainable deep learning for wildfire danger estimation
2022 · Michele Ronco, Ioannis Prapas, et al. · EGU General Assembly Conference Abstracts · 4
Learning Granger Causal Feature Representations
2021 · Gherardo Varando, Miguel‐Ángel Fernández‐Torres, et al. · International Conference on Machine Learning · 3
Works count: 49
Citation count: 1,041
H-index: 10
I10-index: 12
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