Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results. - Gonzalo Joya Caparrós; Miguel A. Atencia Ruiz; Francisco Sandoval Hernández (IWANN, 1997)

Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problems. - Gonzalo Joya Caparrós; Miguel A. Atencia Ruiz; Francisco Sandoval Hernández (Neurocomputing, 1997)

A Formal Model for Definition and Simulation of Generic Neural Networks. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neural Process. Lett., 2000)

Numerical implementation of continuous Hopfield networks for optimization. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (ESANN, 2001)

Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (ICANN, 2002)

Hopfield neural networks for optimization: study of the different dynamics. - Gonzalo Joya Caparrós; Miguel A. Atencia Ruiz; Francisco Sandoval Hernández (Neurocomputing, 2002)

A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. - José M. Jerez-Aragonés; Miguel A. Atencia Ruiz; Francisco J. Vico; Enrique Domínguez Merino (IWANN (1), 2003)

Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN (2), 2003)

Spurious Minima and Basins of Attraction in Higher-Order Hopfield Networks. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN (1), 2003)

Parametric identification of robotic systems with stable time-varying Hopfield networks. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neural Comput. Appl., 2004)

Stochastic analysis of the Abe formulation of Hopfield networks. - Marie Kratz; Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós (ESANN, 2005)

Two or three things that we (intend to) know about Hopfield and Tank networks. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (ESANN, 2005)

FPGA Implementation of Hopfield Networks for Systems Identification. - Hafida Boumeridja; Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN, 2005)

Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neural Comput., 2005)

A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. - José M. Jerez-Aragonés; Miguel A. Atencia Ruiz (Neural Process. Lett., 2005)

Hopfield Neural Networks for Parametric Identification of Dynamical Systems. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neural Process. Lett., 2005)

Fixed Points of the Abe Formulation of Stochastic Hopfield Networks. - Marie Kratz; Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós (ICANN (1), 2007)

Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Esther García-Garaluz; Héctor de Arazoza; Francisco Sandoval Hernández (IWANN, 2007)

FPGA implementation of a systems identification module based upon Hopfield networks. - Miguel A. Atencia Ruiz; Hafida Boumeridja; Gonzalo Joya Caparrós; Francisco García-Lagos; Francisco Sandoval Hernández (Neurocomputing, 2007)

System Identification of Dengue Fever Epidemics in Cuba. - Esther García-Garaluz; Miguel A. Atencia Ruiz; Francisco García-Lagos; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN (1), 2009)

Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM). - Madalina Olteanu; Esther García-Garaluz; Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós (IWANN (1), 2009)

Statistical properties of the 'Hopfield estimator' of dynamical systems. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós (ESANN, 2011)

Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN (2), 2011)

Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba. - Esther García-Garaluz; Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco García-Lagos; Francisco Sandoval Hernández (Neurocomputing, 2011)

Numerical Implementation of Gradient Algorithms. - Miguel A. Atencia Ruiz; Yadira Hernández 001; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN (2), 2013)

Advances in artificial neural networks and machine learning. - Alberto Prieto; Miguel A. Atencia Ruiz; Francisco Sandoval Hernández (Neurocomputing, 2013)

Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neurocomputing, 2013)

Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba. - Miguel A. Atencia Ruiz; Esther García-Garaluz; Héctor de Arazoza; Gonzalo Joya Caparrós (Math. Comput. Model., 2013)

Hopfield networks: from optimization to adaptive control. - Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós (IJCNN, 2015)

Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment. - Michel Velázquez-Mariño; Miguel A. Atencia Ruiz; Rodolfo García-Bermúdez; Daniel Pupo-Ricardo; Roberto Becerra-García; Luís Velázquez Pérez; Francisco Sandoval 001 (IWANN (2), 2015)

A discrete gradient method to enhance the numerical behaviour of Hopfield networks. - Yadira Hernández-Solano; Miguel A. Atencia Ruiz; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neurocomputing, 2015)

Advances in computational intelligence: Selected and improved papers of the 12th International Work-Conference on Artificial Neural Networks (IWANN 2013). - Miguel A. Atencia Ruiz; Francisco Sandoval Hernández; Alberto Prieto (Neurocomputing, 2015)

Architecture for Neurological Coordination Tests Implementation. - Michel Velázquez-Mariño; Miguel A. Atencia Ruiz; Rodolfo García-Bermúdez; Francisco Sandoval 001; Daniel Pupo-Ricardo (IWANN (2), 2017)

New trends in computational intelligence. - Francisco Sandoval 001; Alberto Prieto; Miguel A. Atencia Ruiz (Neurocomputing, 2017)

Non-negative Matrix Factorization for Medical Imaging. - Miguel A. Atencia Ruiz; Ruxandra Stoean (ESANN, 2018)

Dynamic Clustering of Time Series with Echo State Networks. - Miguel A. Atencia Ruiz; Catalin Stoean; Ruxandra Stoean; Roberto Rodríguez-Labrada; Gonzalo Joya (IWANN (2), 2019)

Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2. - Catalin Stoean; Ruxandra Stoean; Roberto Antonio Becerra-García; Rodolfo García-Bermúdez; Miguel A. Atencia Ruiz; Francisco García-Lagos; Luís Velázquez Pérez; Gonzalo Joya (IWANN (2), 2019)

Time Series Clustering with Deep Reservoir Computing. - Miguel A. Atencia Ruiz; Claudio Gallicchio; Gonzalo Joya; Alessio Micheli (ICANN (2), 2020)

Advances in computational intelligence. - Miguel A. Atencia Ruiz; Gonzalo Joya; Francisco García-Lagos (Neural Comput. Appl., 2020)

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. - Catalin Stoean; Ruxandra Stoean; Miguel A. Atencia Ruiz; Moloud Abdar; Luís Velázquez Pérez; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya; Gonzalo Joya (Sensors, 2020)

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. - Catalin Stoean; Leonard Ionescu; Ruxandra Stoean; Marinela Boicea; Miguel A. Atencia Ruiz; Gonzalo Joya (IWANN (2), 2021)

Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. - Ruxandra Stoean; Dominic Iliescu; Catalin Stoean; Vlad Ilie; Ciprian Patru; Mircea Hotoleanu; Rodica Nagy; Dan Ruican; Rares Trocan; Andreea Marcu; Miguel A. Atencia Ruiz; Gonzalo Joya (IWANN (1), 2021)

A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. - Ruxandra Stoean; Leonard Ionescu; Catalin Stoean; Marinela Boicea; Miguel A. Atencia Ruiz; Gonzalo Joya (KES, 2021)

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. - Catalin Stoean; Nebojsa Bacanin; Ruxandra Stoean; Leonard Ionescu; Cristian Daniel Alecsa; Mircea Hotoleanu; Miguel A. Atencia Ruiz; Gonzalo Joya (SYNASC, 2022)

Numerical methods that preserve a Lyapunov function for Ordinary Differential Equations. - Yadira Hernández-Solano; Miguel A. Atencia Ruiz (CoRR, 2022)

Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. - Ruxandra Stoean; Patricio García Báez; Carmen Paz Suárez Araujo; Nebojsa Bacanin; Miguel A. Atencia Ruiz; Catalin Stoean (IWANN (2), 2023)