Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals von Stoean, Catalin, Stoean, Ruxandra, Atencia, Miguel, Abdar, Moloud, Velázquez-Pérez, Luis, Khosravi, Abbas, Nahavandi, Saeid, Acharya, U Rajendra, Joya, Gonzalo

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Numerical Methods That Preserve a Lyapunov Function for Ordinary Differential Equations von Hernández-Solano, Yadira, Atencia, Miguel

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A hybrid unsupervised—Deep learning tandem for electrooculography time series analysis von Stoean, Ruxandra, Stoean, Catalin, Becerra-García, Roberto, García-Bermúdez, Rodolfo, Atencia, Miguel, García-Lagos, Francisco, Velázquez-Pérez, Luis, Joya, Gonzalo

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Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks von Atencia, Miguel, Stoean, Ruxandra, Joya, Gonzalo

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Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data von Stoean, Ruxandra, Stoean, Catalin, Atencia, Miguel, Rodríguez-Labrada, Roberto, Joya, Gonzalo

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Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning von Stoean, Ruxandra, Bacanin, Nebojsa, Stoean, Catalin, Ionescu, Leonard, Atencia, Miguel, Joya, Gonzalo

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Advances in computational intelligence von Atencia Miguel, Joya Gonzalo, García-Lagos, Francisco

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New trends in computational intelligence von Sandoval, Francisco, Prieto, Alberto, Atencia, Miguel

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Advances in artificial neural networks and machine learning von Prieto, Alberto, Atencia, Miguel, Sandoval, Francisco

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Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks von Atencia, Miguel, Joya, Gonzalo, Sandoval, Francisco

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Advances in computational intelligence von Atencia, Miguel, Sandoval, Francisco, Prieto, Alberto

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Advances in computational intelligence: Selected and improved papers of the 12th International Work-Conference on Artificial Neural Networks (IWANN 2013) von Atencia, Miguel, Sandoval, Francisco, Prieto, Alberto

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Advances in computational intelligence: Selected and improved papers of the 14th international work-conference on artificial neural networks (IWANN 2017) von Atencia, Miguel, Joya, Gonzalo, García-Lagos, Francisco

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A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration von Stoean, Ruxandra, Ionescu, Leonard, Stoean, Catalin, Boicea, Marinela, Atencia, Miguel, Joya, Gonzalo

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A discrete gradient method to enhance the numerical behaviour of Hopfield networks von Hernández-Solano, Yadira, Atencia, Miguel, Joya, Gonzalo, Sandoval, Francisco

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El teorema de Killing-Hopf von Atencia San Miguel, Josep

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Time Series Clustering with Deep Reservoir Computing von Atencia, Miguel, Gallicchio, Claudio, Joya, Gonzalo, Micheli, Alessio

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Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment von Velázquez-Mariño, Michel, Atencia, Miguel, García-Bermúdez, Rodolfo, Pupo-Ricardo, Daniel, Becerra-García, Roberto, Pérez, Luis Velázquez, Sandoval, Francisco

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Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization von Atencia, Miguel, Joya, Gonzalo, Sandoval, Francisco

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A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability von Stoean, Catalin, Ionescu, Leonard, Stoean, Ruxandra, Boicea, Marinela, Atencia, Miguel, Joya, Gonzalo

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