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Automatic Road Crack Detection Using Random Structured Forests

IEEE transactions on intelligent transportation systems, 2016-12, Vol.17 (12), p.3434-3445

2016

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The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm

Annals of operations research, 2022-02, Vol.309 (2), p.553-585

2022

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Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography

Journal of clinical medicine, 2022-09, Vol.11 (18), p.5274

2022

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Correction: Wan et al. Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography. J. Clin. Med. 2022, 11 , 5274

Journal of clinical medicine, 2023-06, Vol.12 (12), p.3990

2023

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A novel graph convolutional feature based convolutional neural network for stock trend prediction

Information sciences, 2021-05, Vol.556, p.67-94

2021

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Ensemble learning with label proportions for bankruptcy prediction

Expert systems with applications, 2020-05, Vol.146, p.113155, Article 113155

2020

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Predicting stock market crisis via market indicators and mixed frequency investor sentiments

Expert systems with applications, 2021-12, Vol.186, p.115844, Article 115844

2021

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Short-term stock trends prediction based on sentiment analysis and machine learning

Soft computing (Berlin, Germany), 2022-03, Vol.26 (5), p.2209-2224

2022

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A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters

Neurocomputing (Amsterdam), 2021-02, Vol.426, p.85-103

2021

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Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation

European journal of operational research, 2024-06, Vol.315 (2), p.786-801

2024

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Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure

Expert systems with applications, 2024-12, Vol.255, p.124787, Article 124787

2024

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Constrained matrix factorization for semi-weakly learning with label proportions

Pattern recognition, 2019-07, Vol.91, p.13-24

2019

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Active learning from label proportions via pSVM

Neurocomputing (Amsterdam), 2021-11, Vol.464, p.227-241

2021

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The time-varying spillover effect of China’s stock market during the COVID-19 pandemic

Physica A, 2022-10, Vol.603, p.127821-127821, Article 127821

2022

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Entropy measures of type-2 intuitionistic fuzzy sets and type-2 triangular intuitionistic trapezodial fuzzy sets

Journal of systems engineering and electronics, 2015-08, Vol.26 (4), p.774-793

2015

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Unsupervised feature selection by non-convex regularized self-representation

Expert systems with applications, 2021-07, Vol.173, p.114643, Article 114643

2021

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A novel semisupervised learning method with textual information for financial distress prediction

Journal of forecasting, 2024-04

2024

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Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction

International journal of machine learning and cybernetics, 2024, Vol.15 (1), p.161-176

2024

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Review of graph construction and graph learning in stock price prediction

Procedia computer science, 2022, Vol.214, p.771-778

2022

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Research on Graph Neural Network in Stock Market

Procedia computer science, 2022, Vol.214, p.786-792

2022

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Self-paced non-convex regularized analysis–synthesis dictionary learning for unsupervised feature selection

Knowledge-based systems, 2022-04, Vol.241, p.108279, Article 108279

2022

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Research on group profile of social platform based on user value

Procedia computer science, 2022, Vol.214, p.367-375

2022

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A novel clustering-based image segmentation via density peaks algorithm with mid-level feature

Neural computing & applications, 2017-12, Vol.28 (Suppl 1), p.29-39

2017

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Pavement Distress Detection Using Random Decision Forests

Data Science, 2015, Vol.9208, p.95-102

2015

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Learning with label proportions based on nonparallel support vector machines

Knowledge-based systems, 2017-03, Vol.119, p.126-141

2017

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Automatic Road Crack Detection Using Random Structured Forests

The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm

Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography

Correction: Wan et al. Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography. J. Clin. Med. 2022, 11 , 5274

A novel graph convolutional feature based convolutional neural network for stock trend prediction

Ensemble learning with label proportions for bankruptcy prediction

Predicting stock market crisis via market indicators and mixed frequency investor sentiments

Short-term stock trends prediction based on sentiment analysis and machine learning

A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters

Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation

Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure

Constrained matrix factorization for semi-weakly learning with label proportions

Active learning from label proportions via pSVM

The time-varying spillover effect of China’s stock market during the COVID-19 pandemic

Entropy measures of type-2 intuitionistic fuzzy sets and type-2 triangular intuitionistic trapezodial fuzzy sets

Unsupervised feature selection by non-convex regularized self-representation

A novel semisupervised learning method with textual information for financial distress prediction

Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction

Review of graph construction and graph learning in stock price prediction

Research on Graph Neural Network in Stock Market

Self-paced non-convex regularized analysis–synthesis dictionary learning for unsupervised feature selection

Research on group profile of social platform based on user value

A novel clustering-based image segmentation via density peaks algorithm with mid-level feature

Pavement Distress Detection Using Random Decision Forests

Learning with label proportions based on nonparallel support vector machines

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