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Showing results 2 to 15 of 15
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Issue Date
Title
Author(s)
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
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
2013-12-01
An effective method for imbalanced time series classification: Hybrid sampling
Liang, G
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
2012-12-19
An efficient and simple under-sampling technique for imbalanced time series classification
Liang, G
;
Zhang, C
2011-12-28
An empirical evaluation of bagging with different algorithms on imbalanced data
Liang, G
;
Zhang, C
2011-11-02
An empirical study of bagging predictors for different learning algorithms
Liang, G
;
Zhu, X
;
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
2010-12-01
Empirical study of bagging predictors on medical data
Liang, G
;
Zhang, C
2014
Ensemble predictions : empirical studies on learners' performance and sample distributions
Liang, G
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
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
2017-01-01
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
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