Miguel-Ángel Fernández-Torres

Assistant Professor, Universidad Carlos III de Madrid

Postdoc, Universidad de Valencia

  • Joined June 2022

Names

Miguel-Ángel Fernández-Torres (Preferred)
,
Miguel Angel Fernandez-Torres

Emails

****@uv.es (Confirmed)
,
****@ing.uc3m.es (Confirmed)

Career & Education History

Assistant Professor
Universidad Carlos III de Madrid (uc3m.es)
2024Present
 
Postdoc
Universidad de Valencia (uv.es)
20202024
 

Advisors, Relations & Conflicts

Postdoc Advisee
Oscar J Pellicer-Valero
Present
 
PhD Advisee
Adrian Höhl
20222024
 
Coauthor
20202024
 
PhD Advisee
20202024
 
PhD Advisee
Maria Gonzalez-Calabuig
20202024
 
PhD Advisee
Mengxue Zhang
20202024
 
PhD Advisor
Fernando Díaz-de-María
20142019
 
PhD Advisor
Iván González-Díaz
20142019
 

Expertise

Wildfire danger prediction, wildfire danger understanding, recurrent neural networks, convolutional neural networks, explainable artificial intelligence, SHAP values
20202024
 
Western-European heatwaves, spatio-temporal dynamics, 3D convolutional neural networks, autoencoder, clustering, K-means, Gaussian Mixture Model
20202024
 
Analytical models, Solid modeling, Recurrent neural networks, Time series analysis, Pipelines, Probabilistic logic, Data models, Artificial intelligence, Anomaly detection
20202024
 
Reviews, Artificial intelligence, Databases, Data models, Taxonomy, Stakeholders, Artificial neural networks, Uncertainty, Training, Systematics, explainable artificial intelligence
20202024
 
Drought monitoring, Hybrid modelling, Domain knowledge, Long short-term memory (LSTM), Variational encoder-decoder (VED)
20202024
 
Top-down visual attention, hierarchical probabilistic framework, context-aware model, latent topic models
20142020
 
Top-down visual attention, eye fixation prediction, context-based learning, interpretability, capsule networks, convolutional neural networks, autonomous driving
20142020
 
Melanoma diagnosis, computer-aided diagnosis, enriched diagnosis, dermoscopic structures, Bayesian fusion
20142020
 
Visual attention, saliency, scene analysis, aesthetics assessment, veature extraction, video impact assessment
20142020