Miguel A. Atencia Ruiz - researchr alias

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Viewing Publication 1 - 42 from 42

2023

Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological ArtefactsRuxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean. iwann 2023: 467-478 [doi]

2022

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional MotifsCatalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya. synasc 2022: 276-283 [doi]

2020

2019

Dynamic Clustering of Time Series with Echo State NetworksMiguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya. iwann 2019: 73-83 [doi]

Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luis Velázquez Pérez, Gonzalo Joya. iwann 2019: 26-37 [doi]

2018

Non-negative Matrix Factorization for Medical ImagingMiguel A. Atencia Ruiz, Ruxandra Stoean. esann 2018: [doi]

2017

New trends in computational intelligenceFrancisco Sandoval, Alberto Prieto, Miguel A. Atencia Ruiz. ijon, 250:1-4, 2017. [doi]

Architecture for Neurological Coordination Tests ImplementationMichel Velázquez-Mariño, Miguel A. Atencia Ruiz, Rodolfo García-Bermúdez, Francisco Sandoval, Daniel Pupo-Ricardo. iwann 2017: 26-37 [doi]

2015

A discrete gradient method to enhance the numerical behaviour of Hopfield networksYadira Hernández-Solano, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. ijon, 164:45-55, 2015. [doi]

Hopfield networks: from optimization to adaptive controlMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós. ijcnn 2015: 1-8 [doi]

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. ijon, 164:1-4, 2015. [doi]

Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia AssessmentMichel Velázquez-Mariño, Miguel A. Atencia Ruiz, Rodolfo Garcia-Bermudez, Daniel Pupo-Ricardo, Roberto Becerra-Garcia, Luís Velázquez Pérez, Francisco Sandoval. iwann 2015: 524-535 [doi]

2013

2011

Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in CubaEsther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández. ijon, 74(16):2691-2697, 2011. [doi]

Statistical properties of the 'Hopfield estimator' of dynamical systemsMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós. esann 2011: [doi]

Robustness of the Hopfield Estimator for Identification of Dynamical SystemsMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. iwann 2011: 516-523 [doi]

2009

System Identification of Dengue Fever Epidemics in CubaEsther García-Garaluz, Miguel A. Atencia Ruiz, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. iwann 2009: 901-908 [doi]

Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM)Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós. iwann 2009: 886-892 [doi]

2007

2005

FPGA Implementation of Hopfield Networks for Systems IdentificationHafida Boumeridja, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. iwann 2005: 582-589 [doi]

A Learning Rule to Model the Development of Orientation Selectivity in Visual CortexJosé M. Jerez-Aragonés, Miguel A. Atencia Ruiz. npl, 21(1):1-20, 2005. [doi]

Stochastic analysis of the Abe formulation of Hopfield networksMarie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós. esann 2005: 55-60 [doi]

Two or three things that we (intend to) know about Hopfield and Tank networksMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. esann 2005: 25-36 [doi]

Hopfield Neural Networks for Parametric Identification of Dynamical SystemsMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. npl, 21(2):143-152, 2005. [doi]

Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial OptimizationMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. neco, 17(8):1802-1819, 2005. [doi]

2004

Parametric identification of robotic systems with stable time-varying Hopfield networksMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. nca, 13(4):270-280, 2004. [doi]

2003

A Learning Rule to Model the Development of Orientation Selectivity in Visual CortexJosé M. Jerez-Aragonés, Miguel A. Atencia Ruiz, Francisco J. Vico, Enrique Domínguez Merino. iwann 2003: 190-197 [doi]

Spurious Minima and Basins of Attraction in Higher-Order Hopfield NetworksMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. iwann 2003: 350-357 [doi]

Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural NetworksMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. iwann 2003: 449-456 [doi]

2002

Hopfield neural networks for optimization: study of the different dynamicsGonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández. ijon, 43(1-4):219-237, 2002. [doi]

Continuous-State Hopfield Dynamics Based on Implicit Numerical MethodsMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. icann 2002: 1365-1370 [doi]

2001

Numerical implementation of continuous Hopfield networks for optimizationMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. esann 2001: 359-364 [doi]

2000

A Formal Model for Definition and Simulation of Generic Neural NetworksMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. npl, 11(2):87-105, 2000.

1997

Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation ResultsGonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández. iwann 1997: 556-565

Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problemsGonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández. ijon, 14(2):139-156, 1997. [doi]

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Publications by 'Miguel A. Atencia Ruiz'

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2023

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2018

2017

2015

2013

2011

2009

2007

2005

2004

2003

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2001

2000

1997

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