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SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization Journal article
Miao, Jianguo, Liu, Xuanxuan, Guo, Li, Chen, Long. SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization[J]. Knowledge-Based Systems, 2024, 301, 112343.
Authors:  Miao, Jianguo;  Liu, Xuanxuan;  Guo, Li;  Chen, Long
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2024/09/03
Broad Learning System  Ensemble Learning  Feature Engineering  Imbalanced Data  Visualization  
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models Journal article
Li, Jinbo, Liu, Peng, Chen, Long, Pedrycz, Witold, Ding, Weiping. An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models[J]. IEEE Transactions on Artificial Intelligence, 2024.
Authors:  Li, Jinbo;  Liu, Peng;  Chen, Long;  Pedrycz, Witold;  Ding, Weiping
Favorite | TC[Scopus]:1 | Submit date：2024/08/05
Fuzzy Rules-based Model  Incremental Models  Interpretability  Ensemble Learning  
A multi-layer composite identification scheme of cryptographic algorithm based on hybrid random forest and logistic regression model Journal article
Yuan, Ke, Huang, Yabing, Du, Zhanfei, Li, Jiabao, Jia, Chunfu. A multi-layer composite identification scheme of cryptographic algorithm based on hybrid random forest and logistic regression model[J]. Complex & Intelligent Systems, 2024, 10(1), 1131-1147.
Authors:  Yuan, Ke;  Huang, Yabing;  Du, Zhanfei;  Li, Jiabao;  Jia, Chunfu
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:5.0/5.2 | Submit date：2024/02/22
Cluster Division Identification  Cryptanalysis  Cryptographic Algorithm Identification  Ensemble Learning  Hybrid RAndom Forest And Logistic Regression  Single-layer Identification  
A Novel Rotating Machinery Fault Diagnosis System Using Ensemble Learning Capsule Autoencoder Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin. A Novel Rotating Machinery Fault Diagnosis System Using Ensemble Learning Capsule Autoencoder[J]. IEEE Sensors Journal, 2024, 24(1), 1018-1027.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.3/4.2 | Submit date：2024/02/22
Ensemble Learning  Intelligent Fault Diagnosis (Ifd)  Rotating Machinery  Stacked Capsule Autoencoder (Scae)  
Internally & Generatively Decorrelated Ensemble of First-Order Takagi-Sugeno-Kang Fuzzy Regressors With Quintuply Diversity Guarantee Journal article
Zhou, Erhao, Vong, Chi Man, Nojima, Yusuke, Wang, Shitong. Internally & Generatively Decorrelated Ensemble of First-Order Takagi-Sugeno-Kang Fuzzy Regressors With Quintuply Diversity Guarantee[J]. IEEE Transactions on Fuzzy Systems, 2023, 32(3), 1288-1302.
Authors:  Zhou, Erhao;  Vong, Chi Man;  Nojima, Yusuke;  Wang, Shitong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:10.7/9.7 | Submit date：2024/02/22
First-order Takagi–sugeno–kang (Tsk) Fuzzy Regressor  Full Interpretability  Generalization Capability  Quintuply Diversity Guarantee  Wide-ensemble Learning  
Robust and fuzzy ensemble framework via spectral learning for random projection-based fuzzy-c-means clustering Journal article
Shi, Zhaoyin, Chen, Long, Duan, Junwei, Chen, Guangyong, Zhao, Kai. Robust and fuzzy ensemble framework via spectral learning for random projection-based fuzzy-c-means clustering[J]. Engineering Applications of Artificial Intelligence, 2023, 117.
Authors:  Shi, Zhaoyin;  Chen, Long;  Duan, Junwei;  Chen, Guangyong;  Zhao, Kai
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:7.5/7.4 | Submit date：2023/02/08
Ensemble  Fuzzy-c-means  Random Projection  Robust  Spectral Learning  
Prediction of Bitcoin Prices’ Trends with Ensemble Learning Models Conference paper
Yan,Keyue, Wang,Yimeng. Prediction of Bitcoin Prices’ Trends with Ensemble Learning Models[C]. Academic Exchange Information Centre (AEIC), Chongqing Engineering Research Centre for Computer Vision Intelligence Technology, School of Artificial Intelligence:SPIE, 2023.
Authors:  Yan,Keyue;  Wang,Yimeng
Favorite | TC[Scopus]:3 | Submit date：2023/08/03
Ensemble Learning  Financial Time Series  Prediction  
Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation Journal article
Cui,Wenkang, Wan,Can, Song,Yonghua. Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation[J]. IEEE Transactions on Power Systems, 2022, 38(4), 3163-3178.
Authors:  Cui,Wenkang;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:22 TC[Scopus]:25  IF:6.5/7.4 | Submit date：2023/08/03
Deep Learning  Ensemble  Non-crossing  Probabilistic Forecasting  Quantile Regression  Wind Power  
Clustering Ensemble Based on Hybrid Multiview Clustering Journal article
Yu, Zhiwen, Wang, Daxing, Meng, Xian Bing, Philip Chen, C. L.. Clustering Ensemble Based on Hybrid Multiview Clustering[J]. IEEE Transactions on Cybernetics, 2022, 52(7), 6518-6530.
Authors:  Yu, Zhiwen;  Wang, Daxing;  Meng, Xian Bing;  Philip Chen, C. L.
Favorite | TC[WOS]:17 TC[Scopus]:17  IF:9.4/10.3 | Submit date：2022/08/02
Cluster Ensemble  Ensemble Learning  Multiview Clustering  Random Subspace Transformation  
Application of Ensemble Learning in Breast Cancer Cell Classification Conference paper
Jie, Huan. Application of Ensemble Learning in Breast Cancer Cell Classification[C], 2022.
Authors:  Jie, Huan
Favorite | TC[Scopus]:0 | Submit date：2023/01/30
Breast Cancer Cell  Classification Prediction  Ensemble Learning  Xgboost