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ORCIDMiguel A. Atencia Ruiz
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2020 – today
- 2023
[c28]Ruxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin
, Miguel A. Atencia Ruiz, Catalin Stoean:
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. IWANN (2) 2023: 467-478- 2022
- [c27]Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Daniel Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya:
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC 2022: 276-283 - [i1]Yadira Hernández-Solano, Miguel A. Atencia Ruiz:
Numerical methods that preserve a Lyapunov function for Ordinary Differential Equations. CoRR abs/2204.11225 (2022) - 2021
- [c26]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:
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. IWANN (1) 2021: 3-14 - [c25]Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya:
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 - [c24]Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya:
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. KES 2021: 2002-2011 - 2020
- [j17]Miguel A. Atencia Ruiz, Gonzalo Joya, Francisco García-Lagos:
Advances in computational intelligence. Neural Comput. Appl. 32(2): 309-311 (2020) - [j16]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
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) - [c23]Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli:
Time Series Clustering with Deep Reservoir Computing. ICANN (2) 2020: 482-493
2010 – 2019
- 2019
- [c22]Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luís Velázquez Pérez, Gonzalo Joya:
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 - [c21]Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya:
Dynamic Clustering of Time Series with Echo State Networks. IWANN (2) 2019: 73-83 - 2018
- [c20]Miguel A. Atencia Ruiz, Ruxandra Stoean:
Non-negative Matrix Factorization for Medical Imaging. ESANN 2018 - 2017
- [j15]Francisco Sandoval, Alberto Prieto, Miguel A. Atencia Ruiz:
New trends in computational intelligence. Neurocomputing 250: 1-4 (2017) - [c19]Michel Velázquez-Mariño, Miguel A. Atencia Ruiz, Rodolfo García-Bermúdez, Francisco Sandoval, Daniel Pupo-Ricardo:
Architecture for Neurological Coordination Tests Implementation. IWANN (2) 2017: 26-37 - 2015
- [j14]Miguel A. Atencia Ruiz, Francisco Sandoval Hernández, Alberto Prieto:
Advances in computational intelligence: Selected and improved papers of the 12th International Work-Conference on Artificial Neural Networks (IWANN 2013). Neurocomputing 164: 1-4 (2015) - [j13]Yadira Hernández-Solano, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
A discrete gradient method to enhance the numerical behaviour of Hopfield networks. Neurocomputing 164: 45-55 (2015) - [c18]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Hopfield networks: from optimization to adaptive control. IJCNN 2015: 1-8 - [c17]Michel Velázquez-Mariño, Miguel A. Atencia Ruiz, Rodolfo García-Bermúdez, Daniel Pupo-Ricardo, Roberto Becerra-García, Luís Velázquez Pérez, Francisco Sandoval:
Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment. IWANN (2) 2015: 524-535 - 2013
- [j12]Alberto Prieto, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Advances in artificial neural networks and machine learning. Neurocomputing 121: 1-4 (2013) - [j11]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks. Neurocomputing 121: 14-24 (2013) - [j10]Miguel A. Atencia Ruiz, Esther García-Garaluz, Héctor de Arazoza, Gonzalo Joya Caparrós:
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) - [c16]Miguel A. Atencia Ruiz, Yadira Hernández, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Numerical Implementation of Gradient Algorithms. IWANN (2) 2013: 355-364 - 2011
- [j9]Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández:
Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba. Neurocomputing 74(16): 2691-2697 (2011) - [c15]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Statistical properties of the 'Hopfield estimator' of dynamical systems. ESANN 2011 - [c14]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems. IWANN (2) 2011: 516-523
2000 – 2009
- 2009
- [c13]Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM). IWANN (1) 2009: 886-892 - [c12]Esther García-Garaluz, Miguel A. Atencia Ruiz, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
System Identification of Dengue Fever Epidemics in Cuba. IWANN (1) 2009: 901-908 - 2007
- [j8]Miguel A. Atencia Ruiz, Hafida Boumeridja, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández:
FPGA implementation of a systems identification module based upon Hopfield networks. Neurocomputing 70(16-18): 2828-2835 (2007) - [c11]Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks. ICANN (1) 2007: 599-608 - [c10]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Esther García-Garaluz, Héctor de Arazoza, Francisco Sandoval Hernández:
Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model. IWANN 2007: 948-955 - 2005
- [j7]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization. Neural Comput. 17(8): 1802-1819 (2005) - [j6]José M. Jerez-Aragonés, Miguel A. Atencia Ruiz:
A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. Neural Process. Lett. 21(1): 1-20 (2005) - [j5]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Hopfield Neural Networks for Parametric Identification of Dynamical Systems. Neural Process. Lett. 21(2): 143-152 (2005) - [c9]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 - [c8]Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Stochastic analysis of the Abe formulation of Hopfield networks. ESANN 2005: 55-60 - [c7]Hafida Boumeridja, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
FPGA Implementation of Hopfield Networks for Systems Identification. IWANN 2005: 582-589 - 2004
- [j4]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Parametric identification of robotic systems with stable time-varying Hopfield networks. Neural Comput. Appl. 13(4): 270-280 (2004) - 2003
- [c6]José M. Jerez-Aragonés, Miguel A. Atencia Ruiz, Francisco J. Vico, Enrique Domínguez Merino:
A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. IWANN (1) 2003: 190-197 - [c5]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Spurious Minima and Basins of Attraction in Higher-Order Hopfield Networks. IWANN (1) 2003: 350-357 - [c4]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks. IWANN (2) 2003: 449-456 - 2002
- [j3]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Hopfield neural networks for optimization: study of the different dynamics. Neurocomputing 43(1-4): 219-237 (2002) - [c3]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods. ICANN 2002: 1365-1370 - 2001
- [c2]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Numerical implementation of continuous Hopfield networks for optimization. ESANN 2001: 359-364 - 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)
1990 – 1999
- 1997
- [j1]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problems. Neurocomputing 14(2): 139-156 (1997) - [c1]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results. IWANN 1997: 556-565
Coauthor Index
aka: Gonzalo Joya
aka: Francisco Sandoval Hernández
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