Zhongliang Zhang
Orcid: 0000-0001-6555-7908Affiliations:
- Shanghai Jiao Tong University, Antai College of Economics and Management, China
- Hangzhou Dianzi University, School of Management, Experimental Center of Data Science and Intelligent Decision-Making, China
- Northeastern University, China (PhD 2017)
According to our database1,
Zhongliang Zhang
authored at least 33 papers
between 2016 and 2025.
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Bibliography
2025
Pattern Recognit., 2025
2024
Sentiment classification of movie reviews: a powerful method based on ensemble of classifiers and features.
Int. J. Mach. Learn. Cybern., December, 2024
Strategic Analysis of the Parameter Servers and Participants in Federated Learning: An Evolutionary Game Perspective.
IEEE Trans. Comput. Soc. Syst., February, 2024
Eng. Appl. Artif. Intell., January, 2024
IEEE Trans. Engineering Management, 2024
RAIRO Oper. Res., 2024
LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets.
Neurocomputing, 2024
2023
Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data.
Decis. Support Syst., September, 2023
Joint optimization of low-carbon product family configuration and smart production line selection.
Comput. Ind. Eng., August, 2023
Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS.
Appl. Soft Comput., May, 2023
ESMOTE: an overproduce-and-choose synthetic examples generation strategy based on evolutionary computation.
Neural Comput. Appl., March, 2023
Int. J. Hum. Comput. Interact., March, 2023
A multiple classifiers system with roulette-based feature subspace selection for one-vs-one scheme.
Pattern Anal. Appl., February, 2023
2022
DRCW-FRkNN-OVO: distance-based related competence weighting based on fixed radius k nearest neighbour for one-vs-one scheme.
Int. J. Mach. Learn. Cybern., 2022
Comput. Oper. Res., 2022
Concurr. Eng. Res. Appl., 2022
Service configuration optimization for multiple customers considering service process information and time-varying service resources.
Comput. Ind. Eng., 2022
2021
A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets.
Neural Comput. Appl., 2021
Regional integrated energy system schemes selection based on risk expectation and Mahalanobis-Taguchi system.
J. Intell. Fuzzy Syst., 2021
Eng. Appl. Artif. Intell., 2021
IEEE Access, 2021
2019
A distance-based weighting framework for boosting the performance of dynamic ensemble selection.
Inf. Process. Manag., 2019
A New Framework of Intelligent Public Transportation System Based on the Internet of Things.
IEEE Access, 2019
2018
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Neurocomputing, 2018
Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme.
Eng. Appl. Artif. Intell., 2018
2017
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme.
Knowl. Based Syst., 2017
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers.
Appl. Soft Comput., 2017
2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst., 2016