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Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction

Applied soft computing, 2023-09, Vol.144, p.110463, Article 110463

2023

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Pattern Matching in Sequential Data Using Reservoir Projections

Advances in Neural Networks – ISNN 2019, p.173-183

Basterrech, Sebastián

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A nature-inspired biomarker for mental concentration using a single-channel EEG

Neural computing & applications, 2020-06, Vol.32 (12), p.7941-7956

2020

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ECHO STATE QUEUEING NETWORKS: A COMBINATION OF RESERVOIR COMPUTING AND RANDOM NEURAL NETWORKS

Probability in the engineering and informational sciences, 2017-10, Vol.31 (4), p.457-476

2017

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Computational Network Application Tools for Performance Management

1st ed. 2020., 2019

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Performance Management of Integrated Systems and Its Applications in Software Engineering

1st ed. 2020., 2019

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Artificial Intelligence in Healthcare

1st Edition 2022, 2021

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Estimating Human Activities from Smartwatches with Feedforward Neural Networks

Intelligent Data Analysis and Applications, p.51-57

Basterrech, Sebastián

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Application of Instrumented Indentation Test and Neural Networks to determine the constitutive model of in-situ austenitic stainless steel components

Archives of Civil and Mechanical Engineering, 2024-04, Vol.24 (2), p.129

2024

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Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing

Artificial Intelligence and Soft Computing, p.15-24

Basterrech, Sebastián

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Levenberg--Marquardt Training Algorithms for Random Neural Networks

Computer journal, 2011-01, Vol.54 (1), p.125-135

2011

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Analysis of Tensor-Based Image Segmentation Using Echo State Networks

Modelling and Simulation for Autonomous Systems, p.490-499

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Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI

Artificial Intelligence and Soft Computing, p.79-90

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RANDOM NEURAL NETWORK MODEL FOR SUPERVISED LEARNING PROBLEMS : TUTORIAL

Neural network world, 2015, Vol.25 (5), p.457-499

2015

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Geometric Particle Swarm Optimization and Reservoir Computing for Solar Power Forecasting

Recent Advances in Soft Computing, p.88-97

Basterrech, Sebastián

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Tracking changes using Kullback-Leibler divergence for the continual learning

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022, p.3279-3285

2022

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IEEE_Xplore

Hidden Markov models for gene sequence classification: Classifying the VSG gene in the Trypanosoma brucei genome

Pattern analysis and applications : PAA, 2016-08, Vol.19 (3), p.793-805

2016

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RANDOM NEURAL NETWORK MODEL FOR SUPERVISED LEARNING PROBLEMS

Neural Network World, 2015-01, Vol.25 (5), p.457-457

2015

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Recurrence Plot and Convolutional Neural Networks for Terrain Classification Using Energy Consumption of Multi-legged Robots

Recent Advances in Soft Computing and Cybernetics, p.3-13

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Real-Time Estimation of Speech Quality through the Internet Using Echo State Networks

Journal of advances in computer networks, 2013, Vol.1 (3), p.183-188

2013

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Evolving reservoir weights in the frequency domain

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021, p.271-272

2021

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Feature Selection Using a Genetic Algorithm for Solar Power Prediction

Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16), p.409-419

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An empirical study of L2-Boost with Echo State Networks

2013 13th International Conference on Intellient Systems Design and Applications, 2013, p.295-300

Basterrech, Sebastian

2013

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IEEE_Xplore

Analyzing Architectures of Reservoir Computing Models Using Particle Swarm Intelligence

Machine Learning and Metaheuristics Algorithms, and Applications, 2020, Vol.1203, p.16-26

2020

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Analysis of the Dynamics of the Echo State Network Model Using Recurrence Plot

Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18), p.353-361

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Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction

Pattern Matching in Sequential Data Using Reservoir Projections

A nature-inspired biomarker for mental concentration using a single-channel EEG

ECHO STATE QUEUEING NETWORKS: A COMBINATION OF RESERVOIR COMPUTING AND RANDOM NEURAL NETWORKS

Computational Network Application Tools for Performance Management

Performance Management of Integrated Systems and Its Applications in Software Engineering

Artificial Intelligence in Healthcare

Estimating Human Activities from Smartwatches with Feedforward Neural Networks

Application of Instrumented Indentation Test and Neural Networks to determine the constitutive model of in-situ austenitic stainless steel components

Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing

Levenberg--Marquardt Training Algorithms for Random Neural Networks

Analysis of Tensor-Based Image Segmentation Using Echo State Networks

Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI

RANDOM NEURAL NETWORK MODEL FOR SUPERVISED LEARNING PROBLEMS : TUTORIAL

Geometric Particle Swarm Optimization and Reservoir Computing for Solar Power Forecasting

Tracking changes using Kullback-Leibler divergence for the continual learning

Hidden Markov models for gene sequence classification: Classifying the VSG gene in the Trypanosoma brucei genome

RANDOM NEURAL NETWORK MODEL FOR SUPERVISED LEARNING PROBLEMS

Recurrence Plot and Convolutional Neural Networks for Terrain Classification Using Energy Consumption of Multi-legged Robots

Real-Time Estimation of Speech Quality through the Internet Using Echo State Networks

Evolving reservoir weights in the frequency domain

Feature Selection Using a Genetic Algorithm for Solar Power Prediction

An empirical study of L2-Boost with Echo State Networks

Analyzing Architectures of Reservoir Computing Models Using Particle Swarm Intelligence

Analysis of the Dynamics of the Echo State Network Model Using Recurrence Plot

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