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Neurocognitive dysfunction in subjects at clinical high risk for psychosis: A meta-analysis Journal article
JOURNAL OF PSYCHIATRIC RESEARCH, 2018,Volume: 103,Page: 38-45
Authors:  Zheng, Wei;  Zhang, Qing-E.;  Cai, Dong-Bin;  Ng, Chee H.;  Ungvari, Gabor S.;  Ning, Yu-Ping;  Xiang, Yu-Tao
Favorite  |  View/Download:18/0  |  Submit date:2018/10/30
Schizophrenia  Psychosis  Clinical High Risk For Psychosis  Neurocognitive Function  Mccb  Meta-analysis  
How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics Conference paper
Advances in Intelligent Systems and Computing
Authors:  Fong S.;  Deb S.;  Yang X.-S.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/13
Algorithm design  Deep learning  Meta-heuristic algorithm  Nature-inspired computing algorithms  Neural network training  
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems Journal article
NEUROCOMPUTING, 2017,Volume: 230,Page: 332-344
Authors:  Rong, Hai-Jun;  Yang, Zhao-Xu;  Wong, Pak Kin;  Vong, Chi Man;  Zhao, Guang-She
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
Meta-cognitive Learning  Backstepping Control  Nonlinear Systems  Fuzzy Neural Control  
Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine Journal article
Cognitive Computation, 2015,Volume: 7,Issue: 3,Page: 381-391
Authors:  Vong, Chi-Man;  Ip, Weng-Fai;  Chiu, Chi-Chong;  Wong, Pak-Kin
Favorite  |  View/Download:10/0  |  Submit date:2018/11/06
Air Pollution  Meta-cognitive Strategy  Online Sequential Extreme Learning Machine (Os-elm)  Imbalance Data