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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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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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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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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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Natural language neural network and its application to question-answering system

Neurocomputing (Amsterdam), 2014-10, Vol.142, p.201-208

2014

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Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction

Neurocomputing (Amsterdam), 2016-05, Vol.188, p.23-30

2016

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Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining

Neurocomputing (Amsterdam), 2015-02, Vol.150, p.513-528

2015

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Acoustic template-matching for automatic emergency state detection: An ELM based algorithm

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.426-434

2015

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Somatic mutation detection using ensemble of flexible neural tree model

Neurocomputing (Amsterdam), 2016-02, Vol.179, p.161-168

2016

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A neural model for straight line detection in the human visual cortex

Neurocomputing (Amsterdam), 2016-07, Vol.199, p.185-196

2016

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Activation functions in deep learning: A comprehensive survey and benchmark

Neurocomputing (Amsterdam), 2022-09, Vol.503, p.92-108

2022

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Multi-hypothesis nearest-neighbor classifier based on class-conditional weighted distance metric

Neurocomputing (Amsterdam), 2015-03, Vol.151 (3), p.1468-1476

2015

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LSTM with sentence representations for document-level sentiment classification

Neurocomputing (Amsterdam), 2018-09, Vol.308, p.49-57

2018

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Artificial neural networks used in optimization problems

Neurocomputing (Amsterdam), 2018-01, Vol.272, p.10-16

2018

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Deep learning for visual understanding: A review

Neurocomputing (Amsterdam), 2016-04, Vol.187, p.27-48

2016

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Hybrid neural networks for big data classification

Neurocomputing (Amsterdam), 2020-05, Vol.390, p.327-340

2020

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Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems

Neurocomputing (Amsterdam), 2019-10, Vol.363, p.273-280

2019

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Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks

Neurocomputing (Amsterdam), 2018-10, Vol.311, p.78-87

2018

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Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling

Neurocomputing (Amsterdam), 2015-11, Vol.167, p.3-7

2015

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Adaptive bias RBF neural network control for a robotic manipulator

Neurocomputing (Amsterdam), 2021-08, Vol.447, p.213-223

2021

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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

Neurocomputing (Amsterdam), 2018-01, Vol.275, p.1308-1317

2018

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Sampled-data synchronization control for chaotic neural networks subject to actuator saturation

Neurocomputing (Amsterdam), 2017-10, Vol.260, p.25-31

2017

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

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

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

An ELM-based model for affective analogical reasoning

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

Natural language neural network and its application to question-answering system

Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction

Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm

Somatic mutation detection using ensemble of flexible neural tree model

A neural model for straight line detection in the human visual cortex

Activation functions in deep learning: A comprehensive survey and benchmark

Multi-hypothesis nearest-neighbor classifier based on class-conditional weighted distance metric

LSTM with sentence representations for document-level sentiment classification

Artificial neural networks used in optimization problems

Deep learning for visual understanding: A review

Hybrid neural networks for big data classification

Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems

Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks

Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling

Adaptive bias RBF neural network control for a robotic manipulator

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

Sampled-data synchronization control for chaotic neural networks subject to actuator saturation

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