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A divide-and-conquer approach to neural natural language generation from structured data

Neurocomputing (Amsterdam), 2021-04, Vol.433, p.300-309

2021

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Review and performance comparison of SVM- and ELM-based classifiers

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.507-516

2014

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Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation

Neurocomputing (Amsterdam), 2023-11, Vol.556, p.126636, Article 126636

2023

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An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks

Neurocomputing (Amsterdam), 2013-10, Vol.117, p.206-213

2013

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Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

Neurocomputing (Amsterdam), 2024-09, Vol.599, p.128111, Article 128111

2024

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The NN-Stacking: Feature weighted linear stacking through neural networks

Neurocomputing (Amsterdam), 2020-07, Vol.399, p.141-152

2020

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SSM: a high-performance scheme for in situ training of imprecise memristor neural networks

Neurocomputing (Amsterdam), 2020-09, Vol.407, p.270-280

2020

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Boosting weighted ELM for imbalanced learning

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.15-21

2014

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Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales

Neurocomputing (Amsterdam), 2013-12, Vol.121, p.254-264

2013

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Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control

Neurocomputing (Amsterdam), 2014-07, Vol.136, p.136-151

2014

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Active deep learning method for semi-supervised sentiment classification

Neurocomputing (Amsterdam), 2013-11, Vol.120, p.536-546

2013

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Dynamic neural network-based fault diagnosis of gas turbine engines

Neurocomputing (Amsterdam), 2014-02, Vol.125, p.153-165

2014

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Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network

Neurocomputing (Amsterdam), 2021-05, Vol.438, p.72-83

2021

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A novel voting convergent difference neural network for diagnosing breast cancer

Neurocomputing (Amsterdam), 2021-05, Vol.437, p.339-350

2021

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An ELM-based model for affective analogical reasoning

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.443-455

2015

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Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women

Neurocomputing (Amsterdam), 2015-03, Vol.151, p.963-974

2015

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Interactive prostate MR image segmentation based on ConvLSTMs and GGNN

Neurocomputing (Amsterdam), 2021-05, Vol.438, p.84-93

2021

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Elastic extreme learning machine for big data classification

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.464-471

2015

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Particle swarm optimization for construction of neural network-based prediction intervals

Neurocomputing (Amsterdam), 2014-03, Vol.127, p.172-180

2014

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Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke

Neurocomputing (Amsterdam), 2014-06, Vol.134, p.269-279

2014

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Analysis on delay-dependent stability for neural networks with time-varying delays

Neurocomputing (Amsterdam), 2013-03, Vol.103, p.114-120

2013

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Parallel extreme learning machine for regression based on MapReduce

Neurocomputing (Amsterdam), 2013-02, Vol.102, p.52-58

2013

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Imperialist competitive algorithm optimized artificial neural networks for UCAV global path planning

Neurocomputing (Amsterdam), 2014-02, Vol.125, p.166-171

2014

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Robust extreme learning machine

Neurocomputing (Amsterdam), 2013-02, Vol.102, p.31-44

2013

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A memory neural system built based on spiking neural network

Neurocomputing (Amsterdam), 2021-06, Vol.442, p.146-160

2021

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A divide-and-conquer approach to neural natural language generation from structured data

Review and performance comparison of SVM- and ELM-based classifiers

Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation

An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks

Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

The NN-Stacking: Feature weighted linear stacking through neural networks

SSM: a high-performance scheme for in situ training of imprecise memristor neural networks

Boosting weighted ELM for imbalanced learning

Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales

Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control

Active deep learning method for semi-supervised sentiment classification

Dynamic neural network-based fault diagnosis of gas turbine engines

Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network

A novel voting convergent difference neural network for diagnosing breast cancer

An ELM-based model for affective analogical reasoning

Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women

Interactive prostate MR image segmentation based on ConvLSTMs and GGNN

Elastic extreme learning machine for big data classification

Particle swarm optimization for construction of neural network-based prediction intervals

Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke

Analysis on delay-dependent stability for neural networks with time-varying delays

Parallel extreme learning machine for regression based on MapReduce

Imperialist competitive algorithm optimized artificial neural networks for UCAV global path planning

Robust extreme learning machine

A memory neural system built based on spiking neural network

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