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Differentiation of intestinal tuberculosis and Crohn’s disease through an explainable machine learning method

Scientific reports, 2022-02, Vol.12 (1), p.1714-1714, Article 1714

2022

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An Identification of Industrial Functional Zones Based on NLP: Evidence From Online Commercial Registration Data

SAGE open, 2023-01, Vol.13 (1)

2023

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Approximate solutions to several classes of Volterra and Fredholm integral equations using the neural network algorithm based on the sine-cosine basis function and extreme learning machine

Frontiers in computational neuroscience, 2023-03, Vol.17, p.1120516-1120516

2023

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An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans

Annals of biomedical engineering, 2020-01, Vol.48 (1), p.312-328

2020

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Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model

Energies (Basel), 2018-12, Vol.11 (12), p.3415

2018

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Two-stage dual-game model approach to view the difficulty of healthcare accessibility

Frontiers in public health, 2023-03, Vol.11, p.1078675-1078675

2023

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R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks

Journal of digital imaging, 2021-04, Vol.34 (2), p.337-350

2021

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An Analytical Approach for Temporal Infection Mapping and Composite Index Development

Mathematics (Basel), 2023-10, Vol.11 (20), p.4358

2023

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Measurement and Analysis of High Frequency Assert Volatility Based on Functional Data Analysis

Mathematics (Basel), 2022-04, Vol.10 (7), p.1140

2022

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Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic

Resources policy, 2021-10, Vol.73, p.102148-102148, Article 102148

2021

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Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA

Expert systems with applications, 2022-12, Vol.210, p.118482, Article 118482

2022

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Effects of COVID-19 vaccination programs on EU carbon price forecasts: Evidence from explainable machine learning

International review of financial analysis, 2024-01, Vol.91, p.102953, Article 102953

2024

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An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19

Expert systems with applications, 2023-12, Vol.233, p.120938, Article 120938

2023

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Numerical solution for high-order ordinary differential equations using H-ELM algorithm

Engineering computations, 2022-07, Vol.39 (7), p.2781-2801

2022

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An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors

Annals of operations research, 2023-04, p.1-28

2023

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Exploring the response and prediction of phytoplankton to environmental factors in eutrophic marine areas using interpretable machine learning methods

The Science of the total environment, 2024-11, Vol.951, p.175600, Article 175600

2024

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Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm

Neural processing letters, 2019-10, Vol.50 (2), p.1153-1172

2019

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Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations

Soft computing (Berlin, Germany), 2020, Vol.24 (2), p.1083-1096

2020

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Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model

International journal of environmental research and public health, 2022-10, Vol.19 (20), p.13248

2022

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Gold price forecasting research based on an improved online extreme learning machine algorithm

Journal of ambient intelligence and humanized computing, 2020-10, Vol.11 (10), p.4101-4111

2020

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Micro and small enterprises default risk portrait: evidence from explainable machine learning method

Journal of ambient intelligence and humanized computing, 2024, Vol.15 (1), p.661-671

2024

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The effects of governance quality on renewable and nonrenewable energy consumption: An explainable decision frame

Journal of forecasting, 2024-09, Vol.43 (6), p.2146-2162

2024

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Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning

International journal of machine learning and cybernetics, 2021-06, Vol.12 (6), p.1839-1851

2021

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An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018, p.1-8

2018

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Title Prevalence Analysis and Modelling of Synthetic Measure of Class B Infectious Diseases in Mainland China, 2000–2019

SSRN Electronic Journal

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Differentiation of intestinal tuberculosis and Crohn’s disease through an explainable machine learning method

An Identification of Industrial Functional Zones Based on NLP: Evidence From Online Commercial Registration Data

Approximate solutions to several classes of Volterra and Fredholm integral equations using the neural network algorithm based on the sine-cosine basis function and extreme learning machine

An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans

Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model

Two-stage dual-game model approach to view the difficulty of healthcare accessibility

R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks

An Analytical Approach for Temporal Infection Mapping and Composite Index Development

Measurement and Analysis of High Frequency Assert Volatility Based on Functional Data Analysis

Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic

Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA

Effects of COVID-19 vaccination programs on EU carbon price forecasts: Evidence from explainable machine learning

An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19

Numerical solution for high-order ordinary differential equations using H-ELM algorithm

An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors

Exploring the response and prediction of phytoplankton to environmental factors in eutrophic marine areas using interpretable machine learning methods

Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm

Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations

Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model

Gold price forecasting research based on an improved online extreme learning machine algorithm

Micro and small enterprises default risk portrait: evidence from explainable machine learning method

The effects of governance quality on renewable and nonrenewable energy consumption: An explainable decision frame

Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning

An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine

Title Prevalence Analysis and Modelling of Synthetic Measure of Class B Infectious Diseases in Mainland China, 2000–2019

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