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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  
Effective interpretable learning for large-scale categorical data Journal article
Zhang, Yishuo, Zaidi, Nayyar, Zhou, Jiahui, Wang, Tao, Li, Gang. Effective interpretable learning for large-scale categorical data[J]. Data Mining and Knowledge Discovery, 2024, 38(4), 2223-2251.
Authors:  Zhang, Yishuo;  Zaidi, Nayyar;  Zhou, Jiahui;  Wang, Tao;  Li, Gang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.8/5.3 | Submit date：2024/09/03
Discriminative Bayesian Network Models  Feature Engineering  Interpretable Models  Large Categorical Datasets  Low-bias Models  
Toward Efficient Automated Feature Engineering Conference paper
Kafeng Wang, Pengyang Wang, Chengzhong Xu. Toward Efficient Automated Feature Engineering[C]:IEEE Computer Society, 2023, 1625-1637.
Authors:  Kafeng Wang;  Pengyang Wang;  Chengzhong Xu
Favorite | TC[Scopus]:1 | Submit date：2023/07/18
Approximate Hashing  Automated Feature Engineering  Minhash  Off-policy  Reinforcement Learning  
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  
Tourism demand forecasting: A deep learning approach Journal article
Law,Rob, Li,Gang, Fong,Davis Ka Chio, Han,Xin. Tourism demand forecasting: A deep learning approach[J]. Annals of Tourism Research, 2019, 75, 410-423.
Authors:  Law,Rob;  Li,Gang;  Fong,Davis Ka Chio;  Han,Xin
Favorite | TC[WOS]:236 TC[Scopus]:290  IF:10.4/11.2 | Submit date：2019/08/01
Attention Mechanism  Deep Learning  Feature Engineering  Lag Order  Long-short-term-memory  Tourism Demand Forecasting  
Tourism demand forecasting: A deep learning approach Journal article
Law, R., Li, G., Fong, K. C., Han, X.. Tourism demand forecasting: A deep learning approach[J]. Annals of Tourism Research, 2019, 410-423.
Authors:  Law, R.;  Li, G.;  Fong, K. C.;  Han, X.
Favorite |   IF:10.4/11.2 | Submit date：2023/08/14
Tourism demand forecasting  Deep learning  Long-short-term-memory  Attention mechanism  Feature engineering  Lag order  
Tourism demand forecasting: A deep learning approach Journal article
Law, R., Li, G., Fong, K. C., Han, X.. Tourism demand forecasting: A deep learning approach[J]. Annals of Tourism Research, 2019, 410-423.
Authors:  Law, R.;  Li, G.;  Fong, K. C.;  Han, X.
Favorite |   IF:10.4/11.2 | Submit date：2023/08/14
Tourism demand forecasting  Deep learning  Long-short-term-memory  Attention mechanism  Feature engineering  Lag order