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Miguel Atencia

Profesor Titular

University of Malaga

Spain

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Research Interests

Computational Neuroscience

30%

Systems Neuroscience

20%

Uncertainty Analysis

20%

Interval Training

20%

Time-to-event Analysis

10%

Nonlinear Dynamics

10%

Predictive Modeling

10%

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Articles6

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

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Year:

2023

Numerical Methods That Preserve a Lyapunov Function for Ordinary Differential Equations

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Year:

2022

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

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Year:

2020

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

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Year:

2020

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

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Year:

2020

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals

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Year:

2020

Collaborators2

Rodolfo Valentín García Bermúdez

Profesor

Universidad Antonio de Nebrija

SPAIN

Gonzalo Joya

Full Professor

University of Malaga

SPAIN

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