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Gonzalo Joya Caparrós
Gonzalo Joya
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2020 – today
- 2023
- [e14]Ignacio Rojas
, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14134, Springer 2023, ISBN 978-3-031-43084-8 [contents] - [e13]Ignacio Rojas
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14135, Springer 2023, ISBN 978-3-031-43077-0 [contents] - 2022
- [c41]Catalin Stoean
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC 2022: 276-283 - 2021
- [j24]Roberto Becerra-García
Differentiation of Saccadic Eye Movement Signals. Sensors 21(15): 5021 (2021) - [j23]Lissette Valdés
Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. Symmetry 13(8): 1534 (2021) - [c40]Ruxandra Stoean, Dominic Iliescu, Catalin Stoean
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. IWANN (1) 2021: 3-14 - [c39]Catalin Stoean
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. IWANN (2) 2021: 260-271 - [c38]Ruxandra Stoean, Leonard Ionescu, Catalin Stoean
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. KES 2021: 2002-2011 - [e12]Ignacio Rojas
Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12861, Springer 2021, ISBN 978-3-030-85029-6 [contents] - [e11]Ignacio Rojas
Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12862, Springer 2021, ISBN 978-3-030-85098-2 [contents] - 2020
- [j22]Miguel A. Atencia Ruiz, Gonzalo Joya, Francisco García-Lagos:
Advances in computational intelligence. Neural Comput. Appl. 32(2): 309-311 (2020) - [j21]José Ramón Salinas
Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. Neural Comput. Appl. 32(2): 351-368 (2020) - [j20]Catalin Stoean
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [c37]Miguel A. Atencia Ruiz
Time Series Clustering with Deep Reservoir Computing. ICANN (2) 2020: 482-493
2010 – 2019
- 2019
- [c36]Catalin Stoean
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2. IWANN (2) 2019: 26-37 - [c35]Miguel A. Atencia Ruiz
Dynamic Clustering of Time Series with Echo State Networks. IWANN (2) 2019: 73-83 - [c34]Lissette Valdés
Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach. IWANN (2) 2019: 640-652 - [c33]Ruxandra Stoean, Catalin Stoean
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. IWANN (1) 2019: 871-882 - [e10]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11506, Springer 2019, ISBN 978-3-030-20520-1 [contents] - [e9]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11507, Springer 2019, ISBN 978-3-030-20517-1 [contents] - 2017
- [j19]Roberto Antonio Becerra-García, Rodolfo García-Bermúdez
Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. Neurocomputing 250: 28-36 (2017) - [j18]Andreu Català Mallofré, Gonzalo Joya Caparrós, Ignacio Rojas Ruiz:
Editorial. Neural Process. Lett. 46(3): 747-750 (2017) - [c32]Stefan Postavaru, Ruxandra Stoean, Catalin Stoean
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. IWANN (2) 2017: 38-49 - [c31]José Ramón Salinas, Francisco García-Lagos, Javier Díaz de Aguilar, Gonzalo Joya, Francisco Sandoval:
Uncertainty Analysis of ANN Based Spectral Analysis Using Monte Carlo Method. IWANN (1) 2017: 269-280 - [c30]Rodolfo García-Bermúdez
Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform. IWBBIO (1) 2017: 557-566 - [e8]Ignacio Rojas, Gonzalo Joya, Andreu Català
Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10305, Springer 2017, ISBN 978-3-319-59152-0 [contents] - [e7]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10306, Springer 2017, ISBN 978-3-319-59146-9 [contents] - 2015
- [j17]Yadira Hernández-Solano, Miguel A. Atencia Ruiz
A discrete gradient method to enhance the numerical behaviour of Hopfield networks. Neurocomputing 164: 45-55 (2015) - [j16]Ignacio Rojas
Special issue on advances in computational intelligence and machine learning (IWANN 2013). Soft Comput. 19(9): 2403-2405 (2015) - [j15]Lissette Valdés
Peer selection in P2P wireless mesh networks: comparison of different strategies. Soft Comput. 19(9): 2447-2455 (2015) - [c29]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Hopfield networks: from optimization to adaptive control. IJCNN 2015: 1-8 - [c28]Roberto Becerra-García, Rodolfo García-Bermúdez
Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning. IWANN (2) 2015: 56-68 - [e6]Ignacio Rojas, Gonzalo Joya Caparrós, Andreu Català
Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I. Lecture Notes in Computer Science 9094, Springer 2015, ISBN 978-3-319-19257-4 [contents] - [e5]Ignacio Rojas, Gonzalo Joya Caparrós, Andreu Català
Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II. Lecture Notes in Computer Science 9095, Springer 2015, ISBN 978-3-319-19221-5 [contents] - 2013
- [j14]Miguel A. Atencia Ruiz
Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks. Neurocomputing 121: 14-24 (2013) - [j13]Miguel A. Atencia Ruiz
Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba. Math. Comput. Model. 57(11-12): 2971-2983 (2013) - [j12]Ignacio Rojas
Advances in computational intelligence. Soft Comput. 17(2): 195-197 (2013) - [j11]Jorge Barrios, Alain Piétrus, Gonzalo Joya Caparrós, Aymée Marrero, Héctor de Arazoza:
A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty - Application to dengue disease transmission. Soft Comput. 17(2): 239-253 (2013) - [c27]Roberto Becerra-García, Gonzalo Joya Caparrós, Rodolfo Valentin García-Bermúdez
Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2. IWANN (2) 2013: 115-123 - [c26]Lissette Valdés
Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks. IWANN (1) 2013: 124-132 - [c25]Miguel A. Atencia Ruiz
Numerical Implementation of Gradient Algorithms. IWANN (2) 2013: 355-364 - [e4]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7902, Springer 2013, ISBN 978-3-642-38678-7 [contents] - [e3]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany:
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7903, Springer 2013, ISBN 978-3-642-38681-7 [contents] - 2011
- [j10]Esther García-Garaluz, Miguel A. Atencia Ruiz
Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba. Neurocomputing 74(16): 2691-2697 (2011) - [c24]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Statistical properties of the 'Hopfield estimator' of dynamical systems. ESANN 2011 - [c23]Vivian Sistachs Vega, Gonzalo Joya Caparrós, Miguel A. Díaz Martínez:
Early Pigmentary Retinosis Diagnostic Based on Classification Trees. IWANN (1) 2011: 329-336 - [c22]Miguel A. Atencia Ruiz
Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems. IWANN (2) 2011: 516-523 - [c21]Jorge Barrios, Alain Piétrus, Aymée Marrero, Héctor de Arazoza, Gonzalo Joya Caparrós:
Dengue Model Described by Differential Inclusions. IWANN (2) 2011: 540-547 - [e2]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós:
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6691, Springer 2011, ISBN 978-3-642-21500-1 [contents] - [e1]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós:
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6692, Springer 2011, ISBN 978-3-642-21497-4 [contents] - 2010
- [j9]Gonzalo Joya Caparrós, Francisco García-Lagos
Contingency evaluation and monitorization using artificial neural networks. Neural Comput. Appl. 19(1): 139-150 (2010)
2000 – 2009
- 2009
- [j8]José Ramón Salinas, Francisco García-Lagos
Sine-fitting multiharmonic algorithms implemented by artificial neural networks. Neurocomputing 72(16-18): 3640-3648 (2009) - [c20]Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz
Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM). IWANN (1) 2009: 886-892 - [c19]Esther García-Garaluz, Miguel A. Atencia Ruiz
System Identification of Dengue Fever Epidemics in Cuba. IWANN (1) 2009: 901-908 - 2007
- [j7]Miguel A. Atencia Ruiz
FPGA implementation of a systems identification module based upon Hopfield networks. Neurocomputing 70(16-18): 2828-2835 (2007) - [c18]Marie Kratz, Miguel A. Atencia Ruiz
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks. ICANN (1) 2007: 599-608 - [c17]José Ramón Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Sine Fitting Multiharmonic Algorithms Implemented by Artificial Neural Networks. IWANN 2007: 622-629 - [c16]Miguel A. Atencia Ruiz
Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model. IWANN 2007: 948-955 - 2005
- [j6]Miguel A. Atencia Ruiz
Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization. Neural Comput. 17(8): 1802-1819 (2005) - [j5]Miguel A. Atencia Ruiz
Hopfield Neural Networks for Parametric Identification of Dynamical Systems. Neural Process. Lett. 21(2): 143-152 (2005) - [c15]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Two or three things that we (intend to) know about Hopfield and Tank networks. ESANN 2005: 25-36 - [c14]Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Stochastic analysis of the Abe formulation of Hopfield networks. ESANN 2005: 55-60 - [c13]Hafida Boumeridja, Miguel A. Atencia Ruiz
FPGA Implementation of Hopfield Networks for Systems Identification. IWANN 2005: 582-589 - 2004
- [j4]Miguel A. Atencia Ruiz
Parametric identification of robotic systems with stable time-varying Hopfield networks. Neural Comput. Appl. 13(4): 270-280 (2004) - 2003
- [c12]Miguel A. Atencia Ruiz
Spurious Minima and Basins of Attraction in Higher-Order Hopfield Networks. IWANN (1) 2003: 350-357 - [c11]Miguel A. Atencia Ruiz
Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks. IWANN (2) 2003: 449-456 - [c10]Francisco Javier Marín Martín, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Optimal Phasor Measurement Unit Placement Using Genetic Algorithms. IWANN (1) 2003: 486-493 - 2002
- [j3]Gonzalo Joya Caparrós
Hopfield neural networks for optimization: study of the different dynamics. Neurocomputing 43(1-4): 219-237 (2002) - [c9]Miguel A. Atencia Ruiz
Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods. ICANN 2002: 1365-1370 - 2001
- [c8]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Numerical implementation of continuous Hopfield networks for optimization. ESANN 2001: 359-364 - [c7]Francisco García-Lagos
Neural Networks for Contingency Evaluation and Monitoring in Power Systems. IWANN (2) 2001: 711-718 - 2000
- [j2]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández
A Formal Model for Definition and Simulation of Generic Neural Networks. Neural Process. Lett. 11(2): 87-105 (2000) - [c6]Gonzalo Joya Caparrós:
Connectionist solutions for energy management systems. ESANN 2000: 389-400
1990 – 1999
- 1998
- [c5]Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández:
Application of Hopfield Neural Networks to State Estimation. NC 1998: 405-411 - 1997
- [j1]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz
Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problems. Neurocomputing 14(2): 139-156 (1997) - [c4]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz
Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results. IWANN 1997: 556-565 - [c3]Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Neural Networks Based Projectivity Invariant Recognition of Flat Patterns. IWANN 1997: 1038-1047 - 1995
- [c2]Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability. IWANN 1995: 283-290 - 1993
- [c1]Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Projectivity Invariant Pattern Recognition with High-Order Neural Networks. IWANN 1993: 513-518
Coauthor Index
Andreu Català
aka: Andreu Català Mallofré
aka: Andreu Català Mallofré
Ignacio Rojas
aka: Ignacio Rojas Ruiz
aka: Ignacio Rojas Ruiz
Francisco Sandoval 0001
aka: Francisco Sandoval Hernández
aka: Francisco Sandoval Hernández
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