Miguel A. Atencia Ruiz

Orcid: 0000-0002-5158-5905

According to our database1, Miguel A. Atencia Ruiz authored at least 46 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts.
Proceedings of the Advances in Computational Intelligence, 2023

2022
Numerical methods that preserve a Lyapunov function for Ordinary Differential Equations.
CoRR, 2022

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs.
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

2021
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration.
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.
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.
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.
Sensors, 2020

Advances in computational intelligence.
Neural Comput. Appl., 2020

Time Series Clustering with Deep Reservoir Computing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2.
Proceedings of the Advances in Computational Intelligence, 2019

Dynamic Clustering of Time Series with Echo State Networks.
Proceedings of the Advances in Computational Intelligence, 2019

2018
Non-negative Matrix Factorization for Medical Imaging.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
New trends in computational intelligence.
Neurocomputing, 2017

Architecture for Neurological Coordination Tests Implementation.
Proceedings of the Advances in Computational Intelligence, 2017

2015
Advances in computational intelligence: Selected and improved papers of the 12th International Work-Conference on Artificial Neural Networks (IWANN 2013).
Neurocomputing, 2015

A discrete gradient method to enhance the numerical behaviour of Hopfield networks.
Neurocomputing, 2015

Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment.
Proceedings of the Advances in Computational Intelligence, 2015

Hopfield networks: from optimization to adaptive control.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba.
Math. Comput. Model., 2013

Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks.
Neurocomputing, 2013

Advances in artificial neural networks and machine learning.
Neurocomputing, 2013

Numerical Implementation of Gradient Algorithms.
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.
Neurocomputing, 2011

Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems.
Proceedings of the Advances in Computational Intelligence, 2011

Statistical properties of the 'Hopfield estimator' of dynamical systems.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2009
Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM).
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

System Identification of Dengue Fever Epidemics in Cuba.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007
FPGA implementation of a systems identification module based upon Hopfield networks.
Neurocomputing, 2007

Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model.
Proceedings of the Computational and Ambient Intelligence, 2007

Fixed Points of the Abe Formulation of Stochastic Hopfield Networks.
Proceedings of the Artificial Neural Networks, 2007

2005
Hopfield Neural Networks for Parametric Identification of Dynamical Systems.
Neural Process. Lett., 2005

A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex.
Neural Process. Lett., 2005

Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization.
Neural Comput., 2005

FPGA Implementation of Hopfield Networks for Systems Identification.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Two or three things that we (intend to) know about Hopfield and Tank networks.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Stochastic analysis of the Abe formulation of Hopfield networks.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
Parametric identification of robotic systems with stable time-varying Hopfield networks.
Neural Comput. Appl., 2004

2003
Spurious Minima and Basins of Attraction in Higher-Order Hopfield Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002
Hopfield neural networks for optimization: study of the different dynamics.
Neurocomputing, 2002

Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods.
Proceedings of the Artificial Neural Networks, 2002

2001
Numerical implementation of continuous Hopfield networks for optimization.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
A Formal Model for Definition and Simulation of Generic Neural Networks.
Neural Process. Lett., 2000

1997
Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problems.
Neurocomputing, 1997

Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


  Loading...