Gonzalo Joya Caparrós

According to our database, Gonzalo Joya Caparrós authored at least 64 papers between 1993 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

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

Differentiation of Saccadic Eye Movement Signals.

Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya

Sensors, 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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 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

Proceedings of the Advances in Computational Intelligence, 2021

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

Proceedings of the Advances in Computational Intelligence, 2021

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

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

Neural Comput. Appl., 2020

Advances in computational intelligence.

Miguel A. Atencia Ruiz, Gonzalo Joya, Francisco García-Lagos

Neural Comput. Appl., 2020

Time Series Clustering with Deep Reservoir Computing.

Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

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

Proceedings of the Advances in Computational Intelligence, 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

Proceedings of the Advances in Computational Intelligence, 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

Proceedings of the Advances in Computational Intelligence, 2019

Dynamic Clustering of Time Series with Echo State Networks.

Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya

Proceedings of the Advances in Computational Intelligence, 2019

2017

Editorial.

Andreu Català Mallofré, Gonzalo Joya Caparrós, Ignacio Rojas Ruiz

Neural Process. Lett., 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

Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform.

Rodolfo García-Bermúdez, Fernando Rojas, Gabriel Demera, Christian Torres, David Zambrano, Gonzalo Joya Caparrós, Roberto Becerra-García

Proceedings of the Bioinformatics and Biomedical Engineering, 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

Proceedings of the Advances in Computational Intelligence, 2017

Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images.

Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparrós

Proceedings of the Advances in Computational Intelligence, 2017

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

Special issue on advances in computational intelligence and machine learning (IWANN 2013).

Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany

Soft Comput., 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

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

Proceedings of the Advances in Computational Intelligence, 2015

Hopfield networks: from optimization to adaptive control.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

Advances in computational intelligence.

Ignacio Rojas, Joan Cabestany I. Moncusi, Gonzalo Joya Caparrós

Soft Comput., 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

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

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

Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks.

Lissette Valdés, Alfonso Ariza, Sira M. Allende, Rubén Parada, Gonzalo Joya

Proceedings of the Advances in Computational Intelligence, 2013

Numerical Implementation of Gradient Algorithms.

Miguel A. Atencia Ruiz, Yadira Hernández, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Advances in Computational Intelligence, 2013

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

Proceedings of the Advances in Computational Intelligence, 2013

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

Early Pigmentary Retinosis Diagnostic Based on Classification Trees.

Vivian Sistachs Vega, Gonzalo Joya Caparrós, Miguel A. Díaz Martínez

Proceedings of the Advances in Computational Intelligence, 2011

Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Advances in Computational Intelligence, 2011

Dengue Model Described by Differential Inclusions.

Jorge Barrios, Alain Piétrus, Aymée Marrero, Héctor de Arazoza, Gonzalo Joya Caparrós

Proceedings of the Advances in Computational Intelligence, 2011

Statistical properties of the 'Hopfield estimator' of dynamical systems.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Contingency evaluation and monitorization using artificial neural networks.

Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández

Neural Comput. Appl., 2010

2009

Sine-fitting multiharmonic algorithms implemented by artificial neural networks.

José Ramón Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Neurocomputing, 2009

Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM).

Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

System Identification of Dengue Fever Epidemics in Cuba.

Esther García-Garaluz, Miguel A. Atencia Ruiz, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

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

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

Proceedings of the Computational and Ambient Intelligence, 2007

Fixed Points of the Abe Formulation of Stochastic Hopfield Networks.

Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós

Proceedings of the Artificial Neural Networks, 2007

2005

Hopfield Neural Networks for Parametric Identification of Dynamical Systems.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Neural Process. Lett., 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

FPGA Implementation of Hopfield Networks for Systems Identification.

Hafida Boumeridja, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Computational Intelligence and Bioinspired Systems, 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

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Stochastic analysis of the Abe formulation of Hopfield networks.

Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

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

2003

Spurious Minima and Basins of Attraction in Higher-Order Hopfield Networks.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Optimal Phasor Measurement Unit Placement Using Genetic Algorithms.

Francisco Javier Marín Martín, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002

Hopfield neural networks for optimization: study of the different dynamics.

Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández

Neurocomputing, 2002

Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Artificial Neural Networks, 2002

2001

Neural Networks for Contingency Evaluation and Monitoring in Power Systems.

Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández

Proceedings of the Bio-inspired Applications of Connectionism, 2001

Numerical implementation of continuous Hopfield networks for optimization.

Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

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

Connectionist solutions for energy management systems.

Gonzalo Joya Caparrós

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1998

Application of Hopfield Neural Networks to State Estimation.

Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

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

Neural Networks Based Projectivity Invariant Recognition of Flat Patterns.

Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results.

Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1995

A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability.

Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the From Natural to Artificial Neural Computation, 1995

1993

Projectivity Invariant Pattern Recognition with High-Order Neural Networks.

Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the New Trends in Neural Computation, 1993