Weiyong Liu

According to our database1, Weiyong Liu authored at least 20 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Data-driven decision model based on local two-stage weighted ensemble learning.
Ann. Oper. Res., June, 2023

Cross-domain decision making based on TrAdaBoost for diagnosis of breast lesions.
Artif. Intell. Rev., May, 2023

Multi-criteria appraisal recommendation.
J. Oper. Res. Soc., January, 2023

Extended Belief Rule-Based System With Accurate Rule Weights and Efficient Rule Activation for Diagnosis of Thyroid Nodules.
IEEE Trans. Syst. Man Cybern. Syst., 2023

2022
A Data-Driven Method Using BRB With Data Reliability and Expert Knowledge for Complex Systems Modeling.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Data-driven decision-making with weights and reliabilities for diagnosis of thyroid cancer.
Int. J. Mach. Learn. Cybern., 2022

A supervised case-based reasoning approach for explainable thyroid nodule diagnosis.
Knowl. Based Syst., 2022

Consistency of distributed preference relations.
J. Oper. Res. Soc., 2022

Cross-domain decision making with parameter transfer based on value function.
Inf. Sci., 2022

A DES-based group decision model for group decision making with large-scale alternatives.
Appl. Intell., 2022

2021
Data-driven decision model based on dynamical classifier selection.
Knowl. Based Syst., 2021

Evidential reasoning based ensemble classifier for uncertain imbalanced data.
Inf. Sci., 2021

Belief rule mining using the evidential reasoning rule for medical diagnosis.
Int. J. Approx. Reason., 2021

A cross-domain recommender system through information transfer for medical diagnosis.
Decis. Support Syst., 2021

Data-driven decision making based on evidential reasoning approach and machine learning algorithms.
Appl. Soft Comput., 2021

Data-driven preference learning in multiple criteria decision making in the evidential reasoning context.
Appl. Soft Comput., 2021

2020
Data-Driven Analysis of Radiologists' Behavior for Diagnosing Thyroid Nodules.
IEEE J. Biomed. Health Informatics, 2020

Data-driven selection of multi-criteria decision-making methods and its application to diagnosis of thyroid nodules.
Comput. Ind. Eng., 2020

Data-driven multiple criteria decision making for diagnosis of thyroid cancer.
Ann. Oper. Res., 2020

2019
Data-driven group decision making for diagnosis of thyroid nodule.
Sci. China Inf. Sci., 2019


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