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

Neurocomputing (Amsterdam), 2016-11, Vol.214, p.242-268

2016

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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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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 Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

Neurocomputing (Amsterdam), 2016-05, Vol.191, p.214-223

2016

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Weighted extreme learning machine for imbalance learning

Neurocomputing (Amsterdam), 2013-02, Vol.101, p.229-242

2013

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LLR: Learning learning rates by LSTM for training neural networks

Neurocomputing (Amsterdam), 2020-06, Vol.394, p.41-50

2020

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Deep Neural Networks for wireless localization in indoor and outdoor environments

Neurocomputing (Amsterdam), 2016-06, Vol.194, p.279-287

2016

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Artificial neural networks in hardware: A survey of two decades of progress

Neurocomputing (Amsterdam), 2010-12, Vol.74 (1), p.239-255

2010

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A calibration method for enhancing robot accuracy through integration of an extended Kalman filter algorithm and an artificial neural network

Neurocomputing (Amsterdam), 2015-03, Vol.151, p.996-1005

2015

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Optimization method based extreme learning machine for classification

Neurocomputing (Amsterdam), 2010-12, Vol.74 (1), p.155-163

2010

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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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A study on effectiveness of extreme learning machine

Neurocomputing (Amsterdam), 2011-09, Vol.74 (16), p.2483-2490

2011

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

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

2014

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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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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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Noise-modulated neural networks as an application of stochastic resonance

Neurocomputing (Amsterdam), 2018-02, Vol.277, p.29-37

2018

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Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework

Neurocomputing (Amsterdam), 2016-09, Vol.205, p.53-63

2016

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

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

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

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

Weighted extreme learning machine for imbalance learning

LLR: Learning learning rates by LSTM for training neural networks

Deep Neural Networks for wireless localization in indoor and outdoor environments

Artificial neural networks in hardware: A survey of two decades of progress

A calibration method for enhancing robot accuracy through integration of an extended Kalman filter algorithm and an artificial neural network

Optimization method based extreme learning machine for classification

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

A study on effectiveness of extreme learning machine

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

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

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

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

Noise-modulated neural networks as an application of stochastic resonance

Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework

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

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