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Comparison of cognitive dysfunction between schizophrenia and bipolar disorder patients: A meta-analysis of comparative studies Journal article
Journal of Affective Disorders, 2020,Volume: 274,Page: 652-661
Authors:  Li,Wen;  Zhou,Fu Chun;  Zhang,Ling;  Ng,Chee H.;  Ungvari,Gabor S.;  Li,Jun;  Xiang,Yu Tao
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/02
Bipolar disorder  Cognition  MCCB  Meta-analysis  Schizophrenia  
The change in the intended Senior High School Chemistry Curriculum in China: Focus on intellectual demands Journal article
Chemistry Education Research and Practice, 2020,Volume: 21,Issue: 1,Page: 14-23
Authors:  Bing Wei
Favorite |  | TC[WOS]:7 TC[Scopus]:6 | Submit date:2020/11/06
Cognitive functions in smoking and non-smoking patients with Check for schizophrenia: A systematic review and meta-analysis of comparative updates. studies Journal article
Psychiatry Research, 2019,Volume: 272,Page: 155-163
Authors:  Yuan-Yuan Wang;  Shuo Wang;  Wei Zheng;  Bao-Liang Zhong;  Chee H. Ng;  Gabor S. Ungvari;  Chun-Xue Wang;  Yu-Tao Xiang;  Xiao-Hong Li
Favorite |  | TC[WOS]:11 TC[Scopus]:12 | Submit date:2020/09/25
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 |  | TC[WOS]:13 TC[Scopus]:13 | 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 |  | TC[WOS]:11 TC[Scopus]:18 | 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 |  | TC[WOS]:15 TC[Scopus]:16 | 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 |  | TC[WOS]:14 TC[Scopus]:15 | Submit date:2018/11/06
Air Pollution  Meta-cognitive Strategy  Online Sequential Extreme Learning Machine (Os-elm)  Imbalance Data