Futian Weng

Orcid: 0000-0002-7982-8729

According to our database1, Futian Weng authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Micro and small enterprises default risk portrait: evidence from explainable machine learning method.
J. Ambient Intell. Humaniz. Comput., January, 2024

2023
An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19.
Expert Syst. Appl., December, 2023

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 Comput. Neurosci., February, 2023

2022
Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA.
Expert Syst. Appl., 2022

An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases.
CoRR, 2022

2021
Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning.
Int. J. Mach. Learn. Cybern., 2021

R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks.
J. Digit. Imaging, 2021

2020
Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations.
Soft Comput., 2020

Gold price forecasting research based on an improved online extreme learning machine algorithm.
J. Ambient Intell. Humaniz. Comput., 2020

2019
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm.
Neural Process. Lett., 2019

2018
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


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