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2020 – today
- 2020
[j14]Huaping Guo
, Jun Zhou, Chang-an Wu:
Ensemble learning via constraint projection and undersampling technique for class-imbalance problem. Soft Comput. 24(7): 4711-4727 (2020)
2010 – 2019
- 2019
- [j13]Ran Li, Bingyu Ji, Yanling Li, Chang-an Wu:
A Bayer motion estimation for motion-compensated frame interpolation. Multim. Tools Appl. 78(14): 19603-19619 (2019) - 2018
- [j12]Yanli Li, Lala Mei, Ran Li, Chang-an Wu:
Using Noise Level to Detect Frame Repetition Forgery in Video Frame Rate Up-Conversion. Future Internet 10(9): 84 (2018) - [j11]Huaping Guo, Jun Zhou, Chang-an Wu, Wei She, Mingliang Xu:
Ensemble based on feature projection and under-sampling for imbalanced learning. Intell. Data Anal. 22(5): 959-980 (2018) - [j10]Huaping Guo, Jun Zhou, Chang-an Wu, Wei She:
A Novel Hybrid-Based Ensemble for Class Imbalance Problem. Int. J. Artif. Intell. Tools 27(6): 1850025:1-1850025:13 (2018) - [j9]Huaping Guo, Hongbing Liu, Ran Li, Chang-an Wu, Yibo Guo, Mingliang Xu:
Margin & diversity based ordering ensemble pruning. Neurocomputing 275: 237-246 (2018) - [j8]Huaping Guo, Jun Zhou, Chang-an Wu:
Imbalanced Learning Based on Data-Partition and SMOTE. Inf. 9(9): 238 (2018) - [c6]Jun Zhou, Huaping Guo, Chang-an Wu:
Ensemble based on Constraint Projection and Under-Sampling for Imbalanced Learning. ICNC-FSKD 2018: 724-731 - 2017
- [j7]Xiangkui Jiang, Chang-an Wu, Huaping Guo:
Forest Pruning Based on Branch Importance. Comput. Intell. Neurosci. 2017: 3162571:1-3162571:11 (2017) - [j6]Bingyu Ji, Ran Li, Chang-an Wu:
Rate-Distortion and Rate-Energy-Distortion Evaluations of Compressive-Sensing Video Coding. Int. J. Digit. Multim. Broadcast. 2017: 4589124:1-4589124:8 (2017) - [j5]Hongbing Liu, Wenyong Zhou, Xuewen Ma, Chang-an Wu:
Super-Resolution Reconstruction from Single Image Based on Join Operation in Granular Computing. Int. J. Pattern Recognit. Artif. Intell. 31(10): 1754020:1-1754020:13 (2017) - [c5]Bingyu Ji, Ran Li, Chang-an Wu:
Spatial-Temporal Correlation Based Multi-resolution Hybrid Motion Estimation for Frame Rate Up-Conversion. ICCCS (2) 2017: 408-417 - 2016
- [j4]Huaping Guo, Hongbing Liu, Chang-an Wu, Weimei Zhi, Yan Xiao, Wei She:
Logistic discrimination based on G-mean and F-measure for imbalanced problem. J. Intell. Fuzzy Syst. 31(3): 1155-1166 (2016) - 2014
- [j3]Hongbing Liu, Fan Zhang, Chang-an Wu, Jun Huang:
Image Superresolution Reconstruction via Granular Computing Clustering. Comput. Intell. Neurosci. 2014: 219636:1-219636:10 (2014) - [j2]Hongbing Liu, Chunhua Liu, Chang-an Wu:
Granular Computing Classification Algorithms Based on Distance Measures between Granules from the View of Set. Comput. Intell. Neurosci. 2014: 656790:1-656790:9 (2014) - 2013
- [j1]Hongbing Liu, Shengwu Xiong, Chang-an Wu:
Hyperspherical granular computing classification algorithm based on fuzzy lattices. Math. Comput. Model. 57(3-4): 661-670 (2013) - 2012
- [c4]Mingke Fang, Chang-an Wu, Hongbing Liu:
Training fuzzy support vector machines by samples in zonal regions. ICNC 2012: 121-125 - [c3]Hongbing Liu, Mingke Fang, Chang-an Wu:
Evolutionary multi-objective granular computing classifiers. ICNC 2012: 658-661 - 2011
- [c2]Yan Xiong, Wenyong Zhou, Chang-an Wu, Lei Li, Hongbing Liu:
TSP evolutionary algorithm based on fitness increment. ICNC 2011: 2364-2367 - [c1]Wenyong Zhou, Yan Xiong, Chang-an Wu, Hongbing Liu:
Fast Support Vector Regression Based on Cut. ICSI (2) 2011: 363-370
Coauthor Index
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