Elegir campos a generar del autor Julio

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Optimization of deep architectures for eeg signal classification: An automl approach using evolutionary algorithms
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach
Multiprotocol authentication device for hpc and cloud environments based on elliptic curve cryptography
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks
A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
Distributed multi-objective evolutionary optimization using island-based selective operator application
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI
A parallel island approach to multiobjective feature selection for brain-computer interfaces
Deep belief networks and multiobjective feature selection for BCI with multiresolution analysis
Evaluation of redundant data storage in clusters based on multi-multicast and local storage
High-throughput multi-multicast transfers in data center networks
Analysis of OpenMP and MPI implementations of meta-heuristics for vehicle routing problems
Neural networks: An overview of early research, current frameworks and new challenges
Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection
Comparing multicore implementations of evolutionary meta-heuristics for transportation problems
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
System performance evaluation by combining RTC and VHDL simulation: A case study on NICs
AN ANALYSIS OF MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS FOR OPTIMIZATION PROBLEMS WITH TIME CONSTRAINTS
Leveraging bandwidth improvements to web servers through enhanced network interfaces
A hybrid meta-heuristic for multi-objective vehicle routing problems with time windows
Affinity-Based Network Interfaces for Efficient Communication on Multicore Architectures
A Simulated Annealing-based parallel multi-objective approach to vehicle routing problems with time windows
Two-level Hash/Table approach for metadata management in distributed file systems
Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection
Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures
Comparison of parallel multi-objective approaches to protein structure prediction
PITAGORAS-PSP: Including domain knowledge in a multi-objective approach for protein structure prediction
Improving IPS by network processors
A pareto-based memetic algorithm for optimization of looped water distribution systems
Network interfaces for programmable NICs and multicore platforms
A single front genetic algorithm for parallel multi-objective optimization in dynamic environments
Protocol offload analysis by simulation
High performance computing for dynamic multi-objective optimisation
A hybrid meta-heuristic for multi-objective optimization: MOSATS
Modeling network behaviour by full-system simulation
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks
Parallelization of population-based multi-objective meta-heuristics: An empirical study
Evolutionary algorithms for multiobjective and multimodal optimization of diagnostic schemes
A parallel multilevel metaheuristic for graph partitioning
PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
Assessing the noise immunity and generalization of radial basis function networks
A mixed heuristic for circuit partitioning
Component-Based Derivation of a Parallel Stiff ODE Solver Implemented in a Cluster of Computers
A new clustering technique for function approximation
Time series analysis using normalized PG-RBF network with regression weights
Parallel dynamic water supply scheduling in a cluster of computers
Improved RAN sequential prediction using orthogonal techniques
A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs
Obtaining fault tolerant multilayer perceptrons using an explicit regularization
A systematic approach to a self-generating fuzzy rule-table for function approximation
Parallel VLSI test in a shared-memory multiprocessor
Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations
Self-organized fuzzy system generation from training examples
A new measurement of noise immunity and generalization ability for MLPs.
An accurate measure for multilayer perceptron tolerance to weight deviations
Statistical analysis of the main parameters in the fuzzy inference process
Nondeterministic AND-EXOR minimisation by using rewrite rules and simulated annealing
Annealing-based heuristics and genetic algorithms for circuit partitioning in parallel test generation
Parallel test generation using circuit partitioning and spectral techniques
Algebraic test-pattern generation based on the Reed-Muller spectrum
Parallel Coarse Grain Computing of Boltzmann Machines
Compact CMOS fuzzy controllers using the normalised product of adaptive membership functions
SEPARATION OF SOURCES - A GEOMETRY-BASED PROCEDURE FOR RECONSTRUCTION OF N-VALUED SIGNALS
USING SIMULATED ANNEALING IN THE MINIMIZATION OF AND-EXOR FUNCTIONS
GENERALIZED HOPFIELD NEURAL-NETWORK FOR CONCURRENT TESTING
TEST-PATTERN GENERATION BASED ON REED-MULLER COEFFICIENTS
Solution of Switching Equations Based on a Tabular Algebra
Current-mode analogue defuzzifier
ANALOG CMOS IMPLEMENTATION OF A DISCRETE-TIME CNN WITH PROGRAMMABLE CLONING TEMPLATES
CMOS IMPLEMENTATION OF A CELLULAR NEURAL NETWORK WITH DYNAMICALLY ALTERABLE CLONING TEMPLATES
CMOS IMPLEMENTATION OF SYNAPSE MATRICES WITH PROGRAMMABLE ANALOG WEIGHTS
AN APPROACH TO ISOLATED WORD RECOGNITION USING MULTILAYER PERCEPTRONS
UNIVERSAL BUILT-IN SELF-TEST PROCEDURE FOR CMOS PLAS
USING REED-MULLER COEFFICIENTS TO SYNTHESIZE OPTIMAL PREDICTION MODULES FOR CONCURRENT TESTING
THE FAST TAMARI TRANSFORM
CMOS CURRENT-MODE MULTIVALUED PLAS
Books, chapters, theses All / None
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification
Evolutionary multiobjective feature selection in multiresolution analysis for BCI
Hybrid MPI/openmp parallel evolutionary algorithms for vehicle routing problems
Network anomaly detection with bayesian self-organizing maps
Comparison of frameworks for parallel multiobjective evolutionary optimization in dynamic problems
Network intrusion prevention by using hierarchical self-organizing maps and probability-based labeling
Ant colony optimization for water distribution network design: A comparative study
A Hybrid Scheme to Solve the Protein Structure Prediction Problem
Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms
Protein structure prediction by evolutionary multi-objective optimization: Search space reduction by using rotamers
Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection
Improving the performance of bandwidth-demanding applications by a distributed network interface
The Parallel Single Front Genetic Algorithm (PSFGA) in dynamic multi-objective optimization
Adapting multi-objective meta-heuristics for graph partitioning
Performance analysis of parallel strategies for bi-objective network partitioning
Synthesis of hybrid CBL/CMOS cell using multiobjective evolutionary algorithms
Optimising graph partitions using parallel evolution
A new pareto-based algorithm for multi-objective graph partitioning
Parallel computation of an adaptive optimal RBF network predictor
XMLP: a feed-forward neural network with two-dimensional layers and partial connectivity
Studying the convergence of the CFA algorithm
Performance of message-passing MATLAB toolboxes
Paroxysmal atrial fibrillation prediction application using genetic algorithms
Non-invasive atrial disease diagnosis using decision rules: A multi-objective optimization approach
New method for filtered ICA signals applied to volatile time series
Multilevel heuristic algorithm for graph partitioning
Integrating multiple implementations and structure exploitation in the component-based design of parallel ODE solvers
Independent Component Analysis evolution based method for nonlinear speech processing
Genetic algorithm applied to paroxysmal atrial fibrillation prediction
FPGA implementation of multi-layer perceptrons for speech recognition
Designing a phenotypic distance index for radial basis function neural networks
Co-evolutionary algorithm for RBF by self-organizing population of neurons
SSA, SVD, QR-cp, and RBF model reduction
Analyzing boltzmann machine parameters for fast convergence
Hybrid framework for neuro-dynamic programming application to water supply networks
Assessing the noise immunity of radial basis function neural networks
RBF neural networks, multiob jective optimization and time series forecasting
Optimizing RBF networks with cooperative/competitive evolution of units and fuzzy rules
CLIC: Fast communication on Linux clusters
An accurate measure for multilayer perceptron tolerance to additive weight deviations
Adaptive cooperation between processors in a parallel Boltzmann machine implementation
On-line optimization of radial basis function networks with orthogonal techniques
Design and evaluation of a reconfigurable digital architecture for self-organizing maps
Sequential learning algorithm for PG-RBF network using regression weights for time series prediction
Load balancing in parallel circuit testing with annealing-based and genetic algorithms
Meta-heuristics for circuit partitioning in parallel test generation
Parallel test pattern generation using circuit partitioning in a shared-memory multiprocessor
Modified boltzmann machine for an efficient distributed implementation
A modified backpropagation algorithm to tolerate weight errors
Procedimientos paralelos basados en los coeficientes de Reed-Muller para la generación de patrones de test en circuitos digitales
Asynchronously parallel Boltzmann machines mapped onto distributed-memory multiprocessors
Test pattern generation for analog circuits using neural networks and evolutive algorithms
Generación de patrones de test mediante diferencias booleanas y coeficientes de Reed-Muller
OPTIMIZATION PROBLEMS ON CONCURRENT TESTING SOLVED BY NEURAL NETWORKS
Conferences All / None
Energy-Time Profiling for Machine Learning Methods to EEG Classification
A parallel and distributed multi-population GA with asynchronous migrations: Energy-time analysis for heterogeneous systems
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia
An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification
Speedup and energy analysis of EEG classification for BCI tasks on CPU-GPU clusters
A power-performance perspective to multiobjective electroencephalogram feature selection on heterogeneous parallel platforms
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters
Classification of Breast Cancer Histopathological Images Using KAZE Features
Power-performance evaluation of parallel multi-objective EEG feature selection on CPU-GPU platforms
Improving memory accesses for heterogeneous parallel multi-objective feature selection on eeg classification
Issues on GPU parallel implementation of evolutionary high-dimensional multi-objective feature selection
Assessing parallel heterogeneous computer architectures for multiobjective feature selection on EEG classification
Secure data access in hadoop using elliptic curve cryptography
Addressing high dimensional multi-objective optimization problems by coevolutionary Islands with overlapping search spaces
A new scalable approach for distributed metadata in HPC
Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
Parallel cooperation for large-scale multiobjective optimization on feature selection problems
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI
PCA filtering and probabilistic SOM for network intrusion detection
Feature selection in high-dimensional EEG data by parallel multi-objective optimization
Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques
A method to improve the accuracy of protein torsion angles
Comparing Real-Time Calculus with the existing analytical approaches for the performance evaluation of network interfaces
Improving dynamic web servers by affinity-based network interfaces
Improving network intrusion detection with growing hierarchical self-organizing maps
Client cache for PVFS2
Performance analysis by HDL simulation of network interface design alternatives
Fault tolerant PVFS2 based on data replication
Parallel protein structure prediction by multiobjective optimization
Performance Measures for Dynamic Multi-Objective Optimization
Accelerating OpenFlow switching with network processors
Analyzing approaches for network interface design by HDL simulation
A new Offloaded/Onloaded network interface for high performance communication
A Multi-threaded network interface using network processors
Comparison of onloading and offloading strategies to improve network interfaces
Comparison of techniques for outsourcing protocols | Comparación de tćcnicas para la externalización de protocolos
Parallel processing for multi-objective optimization in dynamic environments
Analyzing the benefits of protocol offload by full-system simulation
Protocol offload evaluation using simics
Application of ANOVA to a cooperative-coevolutionary optimization of RBFNs
A genetic exploration of dynamic load balancing algorithms
Parallel heuristic search in multilevel graph partitioning
Modelling time series with exogenous information
Parallel implementation of matrix techniques
Parallel single front genetic algorithm: Performance analysis in a cluster system
A parallel evolutionary algorithm for circuit partitioning
The lightweight protocol CLIC on Gigabit Ethernet
Multi-objective optimization evolutionary algorithms applied to paroxysmal atrial fibrillation diagnosis based on the k-nearest neighbours classifier
Genetic algorithm approach to nonlinear blind source separation
The lightweight protocol CLIC: Performance of an MPI implementation on CLIC
An efficient OS support for communication on Linux clusters
New radial basis function networks structure: Application to time series prediction
Genetic algorithms and neuro-dynamic programming: Application to water supply networks
ANNs and GAs for predictive controlling of water supply networks
Using PVM for distributed logic minimization in a network of computers
Parallel combinatorial optimization with evolutionary cooperation between processors
Testability of AND-EXOR logic vs AND-OR logic
New geometrical approach for blind separation of sources mapped to a neural network
MapA: An array processor architecture for neural networks
A learning algorithm to obtain self-organizing maps using fixed neighbourhood Kohonen networks
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