Projectivity Invariant Pattern Recognition with High-Order Neural Networks. - Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN, 1993)

A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability. - Gonzalo Joya Caparrós; Francisco Sandoval Hernández (IWANN, 1995)

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

Neural Networks Based Projectivity Invariant Recognition of Flat Patterns. - Gonzalo Joya Caparrós; 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)

Application of Hopfield Neural Networks to State Estimation. - Francisco García-Lagos; Gonzalo Joya Caparrós; Francisco Javier Marín Martín; Francisco Sandoval Hernández (NC, 1998)

Connectionist solutions for energy management systems. - Gonzalo Joya Caparrós (ESANN, 2000)

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)

Neural Networks for Contingency Evaluation and Monitoring in Power Systems. - Francisco García-Lagos; Gonzalo Joya Caparrós; Francisco Javier Marín Martín; Francisco Sandoval Hernández (IWANN (2), 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)

Optimal Phasor Measurement Unit Placement Using Genetic Algorithms. - Francisco Javier Marín Martín; Francisco García-Lagos; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (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)

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)

Sine-fitting multiharmonic algorithms implemented by artificial neural networks. - José Ramón Salinas; Francisco García-Lagos; Gonzalo Joya Caparrós; Francisco Sandoval Hernández (Neurocomputing, 2009)

Contingency evaluation and monitorization using artificial neural networks. - Gonzalo Joya Caparrós; Francisco García-Lagos; Francisco Sandoval Hernández (Neural Comput. Appl., 2010)

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

Dengue Model Described by Differential Inclusions. - Jorge Barrios; Alain Piétrus; Aymée Marrero; Héctor de Arazoza; Gonzalo Joya Caparrós (IWANN (2), 2011)

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

Early Pigmentary Retinosis Diagnostic Based on Classification Trees. - Vivian Sistachs Vega; Gonzalo Joya Caparrós; Miguel A. Díaz Martínez (IWANN (1), 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)

Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2. - Roberto Becerra-García; Gonzalo Joya Caparrós; Rodolfo Valentin García-Bermúdez; Luís Velázquez; Roberto Rodríguez; Carmen Pino (IWANN (2), 2013)

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

Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks. - Lissette Valdés; Alfonso Ariza; Sira M. Allende; Rubén Parada; Gonzalo Joya (IWANN (1), 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)

A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty - Application to dengue disease transmission. - Jorge Barrios; Alain Piétrus; Gonzalo Joya Caparrós; Aymée Marrero; Héctor de Arazoza (Soft Comput., 2013)

Advances in computational intelligence. - Ignacio Rojas; Joan Cabestany I. Moncusi; Gonzalo Joya Caparrós (Soft Comput., 2013)

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

Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning. - Roberto Becerra-García; Rodolfo García-Bermúdez; Gonzalo Joya Caparrós; Abel Fernández-Higuera; Camilo Velázquez-Rodríguez; Michel Velázquez-Mariño; Franger Cuevas-Beltrán; Francisco García-Lagos; Roberto Rodríguez-Labrada (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)

Special issue on advances in computational intelligence and machine learning (IWANN 2013). - Ignacio Rojas; Gonzalo Joya Caparrós; Joan Cabestany (Soft Comput., 2015)

Peer selection in P2P wireless mesh networks: comparison of different strategies. - Lissette Valdés; Soraya Montesinos; Alfonso Ariza; Sira M. Allende; Gonzalo Joya (Soft Comput., 2015)

Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. - Stefan Postavaru; Ruxandra Stoean; Catalin Stoean; Gonzalo Joya Caparrós (IWANN (2), 2017)

Uncertainty Analysis of ANN Based Spectral Analysis Using Monte Carlo Method. - José Ramón Salinas; Francisco García-Lagos; Javier Díaz de Aguilar; Gonzalo Joya; Francisco Sandoval 001 (IWANN (1), 2017)

Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform. - Rodolfo García-Bermúdez; Fernando Rojas 001; Gabriel Demera; Christian Torres; David Zambrano; Gonzalo Joya Caparrós; Roberto Becerra-García (IWBBIO (1), 2017)

Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. - Roberto Antonio Becerra-García; Rodolfo García-Bermúdez; Gonzalo Joya Caparrós; Abel Fernández-Higuera; Camilo Velázquez-Rodríguez; Michel Velázquez-Mariño; Franger Cuevas-Beltrán; Francisco García-Lagos; Roberto Rodríguez-Labrada (Neurocomputing, 2017)

Editorial. - Andreu Català Mallofré; Gonzalo Joya Caparrós; Ignacio Rojas Ruiz (Neural Process. Lett., 2017)

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)

Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. - Ruxandra Stoean; Catalin Stoean; Adriana Samide; Gonzalo Joya (IWANN (1), 2019)

Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach. - Lissette Valdés; Alfonso Ariza; Sira María Allende; 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)

Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. - José Ramón Salinas; Francisco García-Lagos; Javier Díaz de Aguilar; Gonzalo Joya; Francisco Sandoval 001 (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)

Differentiation of Saccadic Eye Movement Signals. - Roberto Becerra-García; Rodolfo García-Bermúdez; Gonzalo Joya (Sensors, 2021)

Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. - Lissette Valdés; Alfonso Ariza; Sira M. Allende; Alicia Triviño; Gonzalo Joya (Symmetry, 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)

A hybrid deep learning approach for enhancing the Lorentzian curve fit algorithm for Schumann resonance. - Carlos Cano Domingo; Ruxandra Stoean; Gonzalo Joya; Nuria Novas Castellano; Manuel Fernandez Ros; José A. Gazquez Parra (Expert Syst. Appl., 2025)

Deep learning event detector from long-term signal variation for seismic activity warning out of Schumann resonance. - Carlos Cano Domingo; Ruxandra Stoean; Manuel Soler-Ortiz; Nuria Novas; Manuel Fernández-Ros; Gonzalo Joya; José A. Gazquez Parra (Knowl. Based Syst., 2025)