Guanjin Wang
Orcid: 0000-0002-5258-0532
According to our database1,
Guanjin Wang
authored at least 44 papers
between 2015 and 2024.
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Bibliography
2024
Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory.
IEEE Trans. Fuzzy Syst., November, 2024
IEEE Trans. Fuzzy Syst., September, 2024
IEEE Trans. Fuzzy Syst., March, 2024
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels.
Inf. Fusion, January, 2024
A two-view deep interpretable TSK fuzzy classifier under mutually teachable classification criterion.
Inf. Sci., 2024
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures.
CoRR, 2024
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction.
CoRR, 2024
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data.
Comput. Electron. Agric., 2024
Comput. Biol. Medicine, 2024
2023
BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation.
Expert Syst. Appl., November, 2023
Recognition of Sleep-Wake Stages by Deep Takagi-Sugeno-Kang Fuzzy Classifier with Random Rule Heritage.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling.
Knowl. Based Syst., October, 2023
A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media.
Comput. Biol. Medicine, September, 2023
A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients.
IEEE J. Biomed. Health Informatics, August, 2023
Neural Process. Lett., April, 2023
TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification.
Inf. Fusion, April, 2023
Appl. Soft Comput., 2023
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023
Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.
IEEE Trans. Cybern., 2022
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines.
IEEE Trans. Cybern., 2022
Int. J. Mach. Learn. Cybern., 2022
An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data.
Knowl. Based Syst., 2022
Proceedings of the 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), 2022
2021
AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Knowl. Based Syst., 2021
A review of irregular time series data handling with gated recurrent neural networks.
Neurocomputing, 2021
Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' Opinions on COVID-19 Vaccination.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
IEEE Trans. Cybern., 2020
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data.
Int. J. Mach. Learn. Cybern., 2020
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis.
Neurocomputing, 2020
2019
Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Reliability Learning for Interval Type-2 TSK Fuzzy Logic System with its Application to Medical Diagnosis.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
2018
PhD thesis, 2018
IEEE J. Biomed. Health Informatics, 2018
Diagnosis of prostate cancer in a Chinese population by using machine learning methods.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
Neurocomputing, 2017
An output-based knowledge transfer approach and its application in bladder cancer prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Linear combination of densities and its direct estimation framework with applications.
Neural Comput. Appl., 2016
J. Intell. Fuzzy Syst., 2016
2015
Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques.
Comput. Biol. Medicine, 2015
Detection of Epileptic Seizures in EEG Signals with Rule-Based Interpretation by Random Forest Approach.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015