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Sources of individual differences in young Chinese children's reading and mathematics skill: A longitudinal study Journal article
Journal of School Psychology, 2018,Volume: 71,Page: 122-137
Authors:  Zhang,Xiao;  Hu,Bi Ying;  Ren,Lixin;  Fan,Xitao
Favorite  |  View/Download:5/0  |  Submit date:2019/08/07
Approaches to learning  Chinese children  Mathematics  Problem behavior  Reading  Receptive vocabulary  Self-regulation  
Sources of individual differences in young Chinese children's reading and mathematics skill: A longitudinal study Journal article
JOURNAL OF SCHOOL PSYCHOLOGY, 2018,Volume: 71,Page: 122-137
Authors:  Zhang, Xiao;  Hu, Bi Ying;  Ren, Lixin;  Fan, Xitao
Favorite  |  View/Download:4/0  |  Submit date:2019/01/17
Reading  Mathematics  Receptive vocabulary  Problem behavior  Self-regulation  Approaches to learning  Chinese children  
Kestrel-Based Search Algorithm (KSA) for parameter tuning unto Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets Conference paper
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018
Authors:  Azbehadji I.E.;  Millham R.;  Fong S.J.;  Yang H.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/13
Deep learning  Kestrel-based search algorithm  Long short term memory network  Random encircling  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View  |  Adobe PDF(984Kb)  |  Favorite  |  View/Download:553/41  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Multi-stage optimization of a deep model: A case study on ground motion modeling Journal article
PLOS ONE, 2018,Volume: 13,Issue: 9
Authors:  Tahmassebi, Amirhessam;  Gandomi, Amir H.;  Fong, Simon;  Meyer-Baese, Anke;  Foo, Simon Y.
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Learning with Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li L.;  Li W.;  Zou B.;  Wang Y.;  Tang Y.Y.;  Han H.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
Authors:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
Kernel-based sparse regression with the correntropy-induced loss Journal article
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2018,Volume: 44,Issue: 1,Page: 144-164
Authors:  Chen, Hong;  Wang, Yulong
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Learning theory  Kernel-based regression  Correntropy-induced loss  Sparsity  Learning rate  
Similarity majority under-sampling technique for easing imbalanced classification problem Conference paper
Communications in Computer and Information Science
Authors:  Li J.;  Fong S.;  Hu S.;  Wong R.K.;  Mohammed S.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/13
Imbalanced classification  Similarity measure  SMUTE  Under-sampling