Browsing byAuthorLiang, G
Showing results 1 to 15 of 15
Issue Date | Title | Author(s) |
2017-04-01 | Multi hierarchical construction-induced superior capacitive performances of flexible electrodes for wearable energy storage | Dong, L; Liang, G; Xu, C; Liu, W; Pan, ZZ; Zhou, E; Kang, F; Yang, QH |
2017-03-28 | Suppressing Self-Discharge and Shuttle Effect of Lithium–Sulfur Batteries with V<inf>2</inf>O<inf>5</inf>-Decorated Carbon Nanofiber Interlayer | Liu, M; Li, Q; Qin, X; Liang, G; Han, W; Zhou, D; He, YB; Li, B; Kang, F |
2017-01-01 | Stacking up layers of polyaniline/carbon nanotube networks inside papers as highly flexible electrodes with large areal capacitance and superior rate capability | Dong, L; Liang, G; Xu, C; Ren, D; Wang, J; Pan, ZZ; Li, B; Kang, F; Yang, QH |
2016-06-01 | Effects of landscape tree species and their arrangement on PM<inf>2.5</inf> sedimentation - A case study of Beijing, China | Chen, K; Deng, J; Liang, G; Fang, D; Zhu, H |
2014-01-01 | The effect of varying levels of class distribution on bagging for different algorithms: An empirical study | Liang, G; Zhu, X; Zhang, C |
2014 | Ensemble predictions : empirical studies on learners' performance and sample distributions | Liang, G |
2013-12-01 | An effective method for imbalanced time series classification: Hybrid sampling | Liang, G |
2012-12-26 | A comparative study of sampling methods and algorithms for imbalanced time series classification | Liang, G; Zhang, C |
2012-12-19 | An efficient and simple under-sampling technique for imbalanced time series classification | Liang, G; Zhang, C |
2012-01 | An Eff icient and Simple Under-sampling Technique for Imbalanced Time Series Classifi cation | Liang, G; Zhang, C; Chen, X; Lebanon, G; Wang, H; Zaki, MJ; Gatterbauer, W |
2011-12-28 | An empirical evaluation of bagging with different algorithms on imbalanced data | Liang, G; Zhang, C |
2011-12-23 | An empirical study of bagging predictors for imbalanced data with different levels of class distribution | Liang, G; Zhu, X; Zhang, C |
2011-11-02 | An empirical study of bagging predictors for different learning algorithms | Liang, G; Zhu, X; Zhang, C |
2010-12-01 | Empirical study of bagging predictors on medical data | Liang, G; Zhang, C |
2008-12-01 | A learning process using svms for multi-agents decision classification | Xiao, Y; Deng, F; Liu, B; Liu, S; Luo, D; Liang, G |