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Revisiting review helpfulness prediction: An advanced deep learning model with multimodal input from Yelp Journal article
Zheng, Tianxiang, Lin, Zhihao, Zhang, Yating, Jiao, Qi, Su, Tian, Tan, Hongbo, Fan, Zesen, Xu, Dengming, Law, Rob. Revisiting review helpfulness prediction: An advanced deep learning model with multimodal input from Yelp[J]. International Journal of Hospitality Management, 2023, 114, 103579.
Authors:  Zheng, Tianxiang;  Lin, Zhihao;  Zhang, Yating;  Jiao, Qi;  Su, Tian; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:9.9/10.3 | Submit date：2023/09/12
Big Data Analytics  Deep Learning  Multimodal Design  Predictive Modeling  Review Helpfulness  
Universal Approximation Capability of Broad Learning System and Its Structural Variations Journal article
Chen,C. L.Philip, Liu,Zhulin, Feng,Shuang. Universal Approximation Capability of Broad Learning System and Its Structural Variations[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(4), 1191-1204.
Authors:  Chen,C. L.Philip;  Liu,Zhulin;  Feng,Shuang
Favorite | TC[WOS]:365 TC[Scopus]:435  IF:10.2/10.4 | Submit date：2021/03/09
Broad Learning System (Bls)  Deep Learning  Face Recognition  Functional Link Neural Networks (Flnns)  Nonlinear Function Approximation  Time-variant Big Data Modeling  Universal Approximation  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
Chen, C. L. Philip, Liu, Zhulin. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29(1), 10-24.
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite | TC[WOS]:979 TC[Scopus]:1405  IF:10.2/10.4 | Submit date：2018/10/30
Big Data  Big Data Modeling  Broad Learning System (Bls)  Deep Learning  Incremental Learning  Random Vector Functional-link Neural Networks (Rvflnn)  Single Layer Feedforward Neural Networks (Slfn)  Singular Value Decomposition (Svd)  
What should sociologists know about big data? Journal article
Cai, Tianji, Zhou, Yisu. What should sociologists know about big data?[J]. ISA eSymposium for Sociology, 2016.
Authors:  Cai, Tianji;  Zhou, Yisu
Adobe PDF | Favorite |  | Submit date：2019/08/07
Big Data  Methodological Challenges  Modeling Strategy  Hybrid Procedure