Miguel-Ángel Fernández-Torres

About Miguel-Ángel Fernández-Torres

Miguel-Ángel Fernández-Torres, With an exceptional h-index of 6 and a recent h-index of 4 (since 2020), a distinguished researcher at Universidad de Valencia, specializes in the field of Computer Vision, Machine Learning, Image Processing, Remote Sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Detecting spatio-temporal dynamics of western European heatwaves using deep learning

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing

DeepExtremes: Explainable Earth Surface Forecasting Under Extreme Climate Conditions

XAIDA4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events

Sub-seasonal prediction of drought over the Horn of Africa with Neural Networks

Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario

Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical evidence from log-files in a Learning Management System

USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes

Miguel-Ángel Fernández-Torres Information

University

Position

PhD in Multimedia and Communications

Citations(all)

94

Citations(since 2020)

86

Cited By

22

hIndex(all)

6

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Miguel-Ángel Fernández-Torres Skills & Research Interests

Computer Vision

Machine Learning

Image Processing

Remote Sensing

Top articles of Miguel-Ángel Fernández-Torres

Detecting spatio-temporal dynamics of western European heatwaves using deep learning

2024/3/7

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing

2024/2/21

DeepExtremes: Explainable Earth Surface Forecasting Under Extreme Climate Conditions

EGU General Assembly Conference Abstracts

2023/5

XAIDA4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events

EGU General Assembly Conference Abstracts

2023/5

Sub-seasonal prediction of drought over the Horn of Africa with Neural Networks

2023

Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical evidence from log-files in a Learning Management System

IEEE Revista Iberoamericana de Tecnologias del Aprendizaje

2023/8/2

USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes

EGU General Assembly Conference Abstracts

2023/5

Fomento del razonamiento crítico mediante la evaluación cruzada: estudio de casos en asignaturas de ciencias

2022/10/28

Learning about Student Performance from Moodle logs in a Higher Education Context

2022/11/16

Wildfire Danger Prediction and Understanding with Deep Learning

Geophysical Research Letters

2022/9/16

Herramientas y recursos de motivación online para actividades en clase

In-Red 2022-VIII Congreso Nacional de Innovación Educativa y Docencia en Red

2022/10/28

Explainable deep learning for wildfire danger estimation

EGU General Assembly Conference Abstracts

2022/5

Learning ENSO-related Principal Modes of Vegetation via a Granger-Causal Variational Autoencoder

EGU General Assembly Conference Abstracts

2022/5

Recent Advances in Deep Learning for Spatio-Temporal Drought Monitoring, Forecasting and Model Understanding

2022/3/25

Location-Aware Convolutional Encoder-Decoder for Drought Detection in Europe

AGU Fall Meeting Abstracts

2021/12

Learning Granger Causal Feature Representations

2021/7

Deep Learning and Explainable AI for spatio-temporal drought monitoring

2021/6/23

Spatio-Temporal Gaussianization Flows for Extreme Event Detection

EGU General Assembly Conference Abstracts

2021/4

See List of Professors in Miguel-Ángel Fernández-Torres University(Universidad de Valencia)

Co-Authors

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