English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 10 Help

Selected(0)Clear Items/Page:    Sort:
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 fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy Journal article
Wang, Maofa, Gong, Qizhou, Wan, Quan, Leng, Zhixiong, Xu, Yanlin, Yan, Bingchen, Zhang, He, Huang, Hongliang, Sun, Shaohua. A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy[J]. Expert Systems with Applications, 2024, 244, 123074.
Authors:  Wang, Maofa;  Gong, Qizhou;  Wan, Quan;  Leng, Zhixiong;  Xu, Yanlin; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Adaptive Meta-learning  Deep Learning  Few-shot Classification  Interpretability  Logistic Regression  
Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks Journal article
Liu, Jianhong, Li, Dianshi Moses. Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks[J]. Asian Journal of Criminology, 2024, 19(2), 143-159.
Authors:  Liu, Jianhong;  Li, Dianshi Moses
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.8/1.9 | Submit date：2024/08/05
Black-box Algorithms  Computational Social Science  Explainable Artificial Intelligence  Interpretability Of Algorithms  Recidivism Prediction  
Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-step Wide Calculation Journal article
Xie, Runshan, Vong, Chi Man, Wang, Shitong. Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-step Wide Calculation[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32(4), 1653-1667.
Authors:  Xie, Runshan;  Vong, Chi Man;  Wang, Shitong
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.7/9.7 | Submit date：2024/02/22
Double Interpretability (Di)  Fuzzy Apriori-based Classifiers  Generalization Capability  Hybrid Ensemble Structure  
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  
A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization Journal article
Zhou, Erhao, Vong, Chi Man, Nojima, Yusuke, Wang, Shitong. A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 31(7), 2305 - 2319.
Authors:  Zhou, Erhao;  Vong, Chi Man;  Nojima, Yusuke;  Wang, Shitong
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:10.7/9.7 | Submit date：2023/01/30
Entropic And Rule-stability-based Regularizer  First-order Takagi-sugeno-kang (Tsk) Fuzzy System  Fuzzy Rules  Gaussian Mixture Model (Gmm)  Generalization Performance  Interpretability  
A novel probabilistic framework with interpretability for generator coherency identification Journal article
Liu, Fengrui, Yin, Yikun, Li, Baitong. A novel probabilistic framework with interpretability for generator coherency identification[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 143, 108474.
Authors:  Liu, Fengrui;  Yin, Yikun;  Li, Baitong
Favorite | TC[WOS]:1 TC[Scopus]:5  IF:5.0/4.6 | Submit date：2022/08/02
Generator Coherency Identification  Interpretability  Multi-task Learning  Spatial–temporal Auto-encoder  Wide-area Measurement  
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network Conference paper
Hangtao He, Kejiang Ye, Cheng-Zhong Xu. Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network[C]:IEEE, 2021, 1409-1417.
Authors:  Hangtao He;  Kejiang Ye;  Cheng-Zhong Xu
Favorite | TC[WOS]:6 TC[Scopus]:8 | Submit date：2022/05/13
Traffic Prediction  Graph Neural Networks  Interpretability  
Teng-Yue algorithm: A novel metaheuristic search method for fast cancer classification Conference paper
Tengyue Li, Simon Fong, Antonio J. Tallón-Ballesteros. Teng-Yue algorithm: A novel metaheuristic search method for fast cancer classification[C], 2020, 47-48.
Authors:  Tengyue Li;  Simon Fong;  Antonio J. Tallón-Ballesteros
Favorite | TC[Scopus]:3 | Submit date：2021/03/09
Novel Metaheuristics  Feature Engineering  Medical Data Classification  Accuracy  Interpretability  Search Algorithm  
A gradient-descent-based approach for transparent linguistic interface generation in fuzzy models Journal article
Chen L., Chen C.L.P., Pedrycz W.. A gradient-descent-based approach for transparent linguistic interface generation in fuzzy models[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2010, 40(5), 1219-1230.
Authors:  Chen L.;  Chen C.L.P.;  Pedrycz W.
Favorite | TC[WOS]:20 TC[Scopus]:22 | Submit date：2019/02/11
Fuzzy Clustering  Fuzzy Decision Tree  Fuzzy Systems  Linguistic Interface  Membership Functions  Transparency And Interpretability