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ORCIDMiguel Angel Fernandez-Torres
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Journal Articles
- 2023
[j5]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): 233-238 (2023)- 2020
- [j4]Javier Martínez-Cebrián, Miguel Angel Fernandez-Torres, Fernando Díaz-de-María:
Interpretable Global-Local Dynamics for the Prediction of Eye Fixations in Autonomous Driving Scenarios. IEEE Access 8: 217068-217085 (2020) - [j3]Miguel Angel Fernandez-Torres, Iván González-Díaz, Fernando Díaz-de-María:
Probabilistic Topic Model for Context-Driven Visual Attention Understanding. IEEE Trans. Circuits Syst. Video Technol. 30(6): 1653-1667 (2020) - 2018
- [j2]Javier López-Labraca, Miguel Angel Fernandez-Torres, Iván González-Díaz, Fernando Díaz-de-María, Ángel Pizarro:
Enriched dermoscopic-structure-based cad system for melanoma diagnosis. Multim. Tools Appl. 77(10): 12171-12202 (2018) - [j1]Fernando Fernández Martínez, René Arnulfo García-Hernández, Miguel Angel Fernandez-Torres, Iván González-Díaz, Álvaro García-Faura, Fernando Díaz-de-María:
Exploiting visual saliency for assessing the impact of car commercials upon viewers. Multim. Tools Appl. 77(15): 18903-18933 (2018)
Conference and Workshop Papers
- 2016
- [c2]Miguel Angel Fernandez-Torres, Iván González-Díaz, Fernando Díaz-de-María:
A probabilistic topic approach for context-aware visual attention modeling. CBMI 2016: 1-6 - 2014
- [c1]Tomás Martínez-Cortés, Miguel Angel Fernandez-Torres, Amaya Jimenez-Moreno, Iván González-Díaz, Fernando Díaz-de-María, Juan Adan Guzmán-De-Villoria, Pilar Fernández:
A Bayesian model for brain tumor classification using clinical-based features. ICIP 2014: 2779-2783
Informal and Other Publications
- 2024
- [i4]Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Hiba Najjar, Dário A. B. Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu:
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. CoRR abs/2402.13791 (2024) - [i3]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:
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR abs/2406.20080 (2024) - 2023
- [i2]Miguel-Ángel Fernández-Torres:
Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding. CoRR abs/2308.05189 (2023) - 2021
- [i1]Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais:
Deep Learning Methods for Daily Wildfire Danger Forecasting. CoRR abs/2111.02736 (2021)
Coauthor Index
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