Alberto Prieto

Orcid: 0000-0002-0814-6544

According to our database1, Alberto Prieto authored at least 154 papers between 1991 and 2017.

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

Timeline

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Bibliography

2017
New trends in computational intelligence.
Neurocomputing, 2017

2016
Neural networks: An overview of early research, current frameworks and new challenges.
Neurocomputing, 2016

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

2013
Affinity-Based Network Interfaces for Efficient Communication on Multicore Architectures.
J. Comput. Sci. Technol., 2013

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

Deploying intelligent e-health services in a mobile gateway.
Expert Syst. Appl., 2013

Network Anomaly Detection with Bayesian Self-Organizing Maps.
Proceedings of the Advances in Computational Intelligence, 2013

2012
An auditory Brain-Computer Interface with Accuracy Prediction.
Int. J. Neural Syst., 2012

Daily living activity recognition based on statistical feature quality group selection.
Expert Syst. Appl., 2012

Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Self-evolving parameter-free Rule-based Controller.
Proceedings of the FUZZ-IEEE 2012, 2012

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection.
Neurocomputing, 2011

Bio-inspired systems: Computational and ambient intelligence.
Neurocomputing, 2011

Improving Dynamic Web Servers by Affinity-Based Network Interfaces.
Proceedings of the 19th International Euromicro Conference on Parallel, 2011

Network Intrusion Prevention by Using Hierarchical Self-Organizing Maps and Probability-Based Labeling.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Use of Phase in Brain-Computer Interfaces based on Steady-State Visual Evoked Potentials.
Neural Process. Lett., 2010

Network interfaces for programmable NICs and multicore platforms.
Comput. Networks, 2010

An ANN based automatic hyperspectral image processing system with adaptive dimensionality reduction.
Proceedings of the International Joint Conference on Neural Networks, 2010

A high performance SSVEP-BCI without gazing.
Proceedings of the International Joint Conference on Neural Networks, 2010

Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Statistical analysis of the parameters of the simulated annealing algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Statistical Characterization of Steady-State Visual Evoked Potentials and Their Use in Brain-Computer Interfaces.
Neural Process. Lett., 2009

Protocol offload analysis by simulation.
J. Syst. Archit., 2009

Computational and ambient intelligence.
Neurocomputing, 2009

A New Offloaded/Onloaded Network Interface for High Performance Communication.
Proceedings of the 17th Euromicro International Conference on Parallel, 2009

Improving the Performance of Bandwidth-Demanding Applications by a Distributed Network Interface.
Proceedings of the Distributed Computing, 2009

Multiple AM Modulated Visual Stimuli in Brain-Computer Interface.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Using UN/CEFACT'S Modelling Methodology (UMM) in e-Health Projects.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2.
Proceedings of the Artificial Neural Networks, 2009

2008
Visualizing the evolution of a web-based social network.
J. Netw. Comput. Appl., 2008

VIS2SOUND on Reconfigurable Hardware.
Proceedings of the ReConFig'08: 2008 International Conference on Reconfigurable Computing and FPGAs, 2008

Comparison of Onloading and Offloading Strategies to Improve Network Interfaces.
Proceedings of the 16th Euromicro International Conference on Parallel, 2008

Signal Processing and Perceptrons in an Auditory Based Brain-Computer Interface.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Evolving machine microprograms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Asynchronous distributed genetic algorithms with Javascript and JSON.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Computer Aids for Visual Neuroprosthetic Devices.
Proceedings of the Biomedical Engineering Systems and Technologies, 2008

Bio-Inspired Image Processing for Vision Aids.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Real-Time System for High-Image Resolution Disparity Estimation.
IEEE Trans. Image Process., 2007

Modeling Network Behaviour By Full-System Simulation.
J. Softw., 2007

Computational intelligence and bioinspired systems.
Neurocomputing, 2007

Recursive prediction for long term time series forecasting using advanced models.
Neurocomputing, 2007

Using fuzzy logic to improve a clustering technique for function approximation.
Neurocomputing, 2007

Fine grain pipeline systems for real-time motion and stereo-vision computation.
Int. J. High Perform. Syst. Archit., 2007

Analyzing the benefits of protocol offload by full-system simulation.
Proceedings of the 15th Euromicro International Conference on Parallel, 2007

Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Analyzing a Web-Based Social Network Using Kohonen's SOM.
Proceedings of the Computational and Ambient Intelligence, 2007

Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces.
Proceedings of the Computational and Ambient Intelligence, 2007

Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments.
Proceedings of the Computational and Ambient Intelligence, 2007

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
General Logarithmic Image Processing Convolution.
IEEE Trans. Image Process., 2006

Lamarckian Evolution and the Baldwin Effect in Evolutionary Neural Networks
CoRR, 2006

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Protocol Offload Evaluation Using Simics.
Proceedings of the 2006 IEEE International Conference on Cluster Computing, 2006

2005
Motion-Driven Segmentation by Competitive Neural Processing.
Neural Process. Lett., 2005

TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy.
Fuzzy Sets Syst., 2005

A Possibilistic Approach to RBFN Centers Initialization.
Proceedings of the Rough Sets, 2005

Designing a Control System for an Autonomous Robot Using an Evolutionary Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Spiking Neurons Computing Platform.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

TaSe Model for Long Term Time Series Forecasting.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Input Variable Selection in Hierarchical RBF Networks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004
Online global learning in direct fuzzy controllers.
IEEE Trans. Fuzzy Syst., 2004

SMS transmission using PDU mode and 7-bit coding scheme.
Proceedings of the IADIS International Conference WWW/Internet 2004, 2004

Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks.
Proceedings of the Genetic Programming, 7th European Conference, 2004

2003
The Lighweight Protocol CLIC on Gigabit Ethernet.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2002
Statistical analysis of the parameters of a neuro-genetic algorithm.
IEEE Trans. Neural Networks, 2002

A new clustering technique for function approximation.
IEEE Trans. Neural Networks, 2002

Structure identification in complete rule-based fuzzy systems.
IEEE Trans. Fuzzy Syst., 2002

Time series analysis using normalized PG-RBF network with regression weights.
Neurocomputing, 2002

Performance of Message-Passing MATLAB Toolboxes.
Proceedings of the High Performance Computing for Computational Science, 2002

SSA, SVD, QR-cp, and RBF Model Reduction.
Proceedings of the Artificial Neural Networks, 2002

Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.
Proceedings of the Artificial Neural Networks, 2002

Orthogonal transformations for optimal time series prediction.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs.
Neural Comput., 2001

Improved RAN sequential prediction using orthogonal techniques.
Neurocomputing, 2001

Multidimensional and multideme genetic algorithms for the construction of fuzzy systems.
Int. J. Approx. Reason., 2001

Optimization of web newspaper layout in real time.
Comput. Networks, 2001

Diseño de Redes Neuronales Artificiales mediante Algoritmos Evolutivos.
Inteligencia Artif., 2001

Analyzing Boltzmann Machine Parameters for Fast Convergence.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Using SOM for Neural Network Visualization.
Proceedings of the Connectionist Models of Neurons, 2001

Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules.
Proceedings of the Connectionist Models of Neurons, 2001

An Efficient OS Support for Communication on Linux Clusters.
Proceedings of the 30th International Workshops on Parallel Processing (ICPP 2001 Workshops), 2001

A Method for Structure Identification in Complete Rule-based Fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

An Enhanced Self-organizing Controller for Real-time Process-control Applications.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

The Lightweight Protocol CLIC: Performance of an MPI implementation on CLIC.
Proceedings of the 2001 IEEE International Conference on Cluster Computing (CLUSTER 2001), 2001

2000
A systematic approach to a self-generating fuzzy rule-table for function approximation.
IEEE Trans. Syst. Man Cybern. Part B, 2000

Self-organized fuzzy system generation from training examples.
IEEE Trans. Fuzzy Syst., 2000

Competitive and Temporal Inhibition Structures with Spiking Neurons.
Neural Process. Lett., 2000

Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks.
Neural Process. Lett., 2000

Self-Organization by Temporal Inhibition (SOTI).
Neural Process. Lett., 2000

Evolving Multilayer Perceptrons.
Neural Process. Lett., 2000

Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization.
Neural Process. Lett., 2000

G-Prop: Global optimization of multilayer perceptrons using GAs.
Neurocomputing, 2000

Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations.
Neurocomputing, 2000

Evolutionary Computation Visualization: Application to G-PROP.
Proceedings of the Parallel Problem Solving from Nature, 2000

A New Radial Basis Function Networks Structure: Application to Time Series Prediction.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems?
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

CLIC: Fast Communication on Linux Clusters.
Proceedings of the 2000 IEEE International Conference on Cluster Computing (CLUSTER 2000), November 28th, 2000

Genetic algorithms and neuro-dynamic programming: application to water supply networks.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations.
Neural Process. Lett., 1999

Stimulus Correlation and Adaptive Motion Detection Using Spiking Neurons.
Int. J. Neural Syst., 1999

A New Measurement of Noise Immunity and Generalization Ability for MLPs.
Int. J. Neural Syst., 1999

New methodology for the development of adaptive and self-learning fuzzy controllers in real time.
Int. J. Approx. Reason., 1999

Statistical analysis of the main parameters in the fuzzy inference process.
Fuzzy Sets Syst., 1999

A VLSI Approach for Spike Timing Coding.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Separation of Speech Signals for Nonlinear Mixtures.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Supervised VQ Learning Based on Temporal Inhibition.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

G-Prop-III: Global Optimization of Multilayer Perceptrons using an Evolutionary Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

G-Prop-II: global optimization of multilayer perceptrons using GAs.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Parallel combinatorial optimization with evolutionary cooperation between processors.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
A neural learning algorithm for blind separation of sources based on geometric properties.
Signal Process., 1998

Parallel Coarse Grain Computing of Boltzmann Machines.
Neural Process. Lett., 1998

Automatic Classification of Biological Particles from Electron-microscopy Images Using Conventional and Genetic-algorithm Optimized Learning Vector Quantization.
Neural Process. Lett., 1998

Neural net approach for blind separation of sources based on geometric properties.
Neurocomputing, 1998

Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process.
Int. J. Approx. Reason., 1998

Load Balancing in Parallel Circuit Testing with Annealing-Based and Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1998

What are the main factors involved in the design of a Radial Basis Function Network?
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Separation of sources in a class of post-nonlinear mixtures.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Implementaciones hardware de redes neuronales artificiales.
Inteligencia Artif., 1997

Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

A Competitive Neural Network for Blind Separation of Sources Based on Geometric Properties.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Modified Boltzmann Machine for an Efficient Distributed Implementation.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

A GA-optimized Neural Network for Classification of Biological Particles from Electron-Microscopy Images.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

A Modified Backpropagation Algorithm to Tolerate Weight Errors.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996
Solving <i>Master Mind</i> Using GAs and Simulated Annealing: A Case of Dynamic Constraint Optimization.
Proceedings of the Parallel Problem Solving from Nature, 1996

1995
Separation of sources: A geometry-based procedure for reconstruction of n-valued signals.
Signal Process., 1995

An adaptive geometrical procedure for blind separation of sources.
Neural Process. Lett., 1995

A Geometrical Based Procedure for Source Separation Mapped to a Neural Network.
Proceedings of the From Natural to Artificial Neural Computation, 1995

A VLSI Approach to the Implementation of Additive and Shunting Neural Networks.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms.
Proceedings of the From Natural to Artificial Neural Computation, 1995

A Low-Power Analog Implementation of Cellular Neural Networks.
Proceedings of the From Natural to Artificial Neural Computation, 1995

g-lvq, a combination of genetic algorithms and lvq.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1994
Proteinotopic feature maps.
Neurocomputing, 1994

A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

1993
Test-Pattern Generation Based on Reed-Muller Coefficients.
IEEE Trans. Computers, 1993

Generalized Hopfield Neural Network for Concurrent Testing.
IEEE Trans. Computers, 1993

MapA: An Array Processor Architecture for Neural Networks.
Proceedings of the New Trends in Neural Computation, 1993

Optimization of a Competitive Learning Neural Network by Genetic Algorithms.
Proceedings of the New Trends in Neural Computation, 1993

A Learning Algorithm to Obtain Self-Organizing Maps Using Fixed Neighbourhood Kohonen Networks.
Proceedings of the New Trends in Neural Computation, 1993

Application of Artificial Neural Networks to Chest Image Classification.
Proceedings of the New Trends in Neural Computation, 1993

1991
CMOS Implementation of Synapse Matrices with Programmable Analog Weights.
Proceedings of the Artificial Neural Networks, 1991

Optimization Problems on Concurrent Testing Solved by Neural Networks.
Proceedings of the Artificial Neural Networks, 1991

Application of Vector Quantization Algorithms to Protein Classification and Secondary Structure Computation.
Proceedings of the Artificial Neural Networks, 1991

An Approach to Isolated Word Recognition Using Multilayer Perceptrons.
Proceedings of the Artificial Neural Networks, 1991

CMOS Implementation of a Cellular Neural Network with Dynamically Alterable Cloning Templates.
Proceedings of the Artificial Neural Networks, 1991


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