基本信息
浏览量:3

个人简介
Current and Past Research Problems
Class Imbalanced Classification
Improve immunity of Support Vector Machines, k-Nearest Neighbor, and Deep Neural Network classifiers against the detrimental effects of class imbalance.
Theoretical Analysis of Classifiers
Mathematically investigate how class imbalance affects the performance of a classifier as well as the popular evaluation indices.
Class Imbalanced Classification
Improve immunity of Support Vector Machines, k-Nearest Neighbor, and Deep Neural Network classifiers against the detrimental effects of class imbalance.
Theoretical Analysis of Classifiers
Mathematically investigate how class imbalance affects the performance of a classifier as well as the popular evaluation indices.
研究兴趣
论文共 9 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
ICLR 2023pp.7141-7166, (2023)
引用0浏览0EI引用
0
0
引用0浏览0EI引用
0
0
IEEE transactions on artificial intelligenceno. 2 (2022): 1-1
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn