Gonzalo Joya

Full Professor

University of Malaga

Spain

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About

Gonzalo Joya is a Full Professor at the University of Málaga, Spain. His research interests encompass deep learning applications in various domains, including the analysis of Schumann resonance, the evaluation of metal heritage assets, and earthquake forecasting. He has contributed to literature on machine learning, time series prediction, and the study of eye movement signals, underscoring his expertise in computational intelligence and its practical utilities.

Articles (11)

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2025

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2023

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2023

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2022

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2021

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2021

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2020

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2020

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2020

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Associated professor

Universidad Politécnica de Madrid Escuela Técnica Superior de Ingenieros de Telecomunicación

SPAIN

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Gonzalo Joya

Research Interests

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Contact this professor

About

Articles (11)

A hybrid deep learning approach for enhancing the Lorentzian curve fit algorithm for Schumann resonance

A Machine Learning hourly analysis on the relation the Ionosphere and Schumann Resonance Frequency

Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning

On the Prospective Use of Deep Learning Systems for Earthquake Forecasting over Schumann Resonances Signals

Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions

Differentiation of Saccadic Eye Movement Signals

Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks

A hybrid unsupervised—Deep learning tandem for electrooculography time series analysis

Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data

Monte Carlo uncertainty analysis of an ANN-based spectral analysis method

Advances in computational intelligence: Selected and improved papers of the 14th international work-conference on artificial neural networks (IWANN 2017)

Collaborators (8)

Manuel Fernandez-Ros

Jose Ramon Salinas Vázquez

Jose A. Gazquez

Francisco García Lagos

Rodolfo Valentín García Bermúdez

Miguel Atencia

Nuria Novas Castellano

Alfonso Ariza

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