基本信息
浏览量:732
职业迁徙
个人简介
In particular, my research has focused on developing algorithms for clustering high-dimensional data and on applied machine learning. Clustering is an important data analysis tool. It helps researchers discover relationships among samples, which would otherwise be difficult with large volumes of data. The need for clustering high-dimensional data is extensive and includes applications to microarray analysis, text document, web page clustering, and medical image analysis. I have focused my applied research on biomedical image applications. More specifically, some of the projects I am currently working on include tumor tracking in fluoroscopy images of the lungs for radiotherapy and on image segmentation of in vivo confocal microscopy image stacks of the skin to detect cancer. Beyond clustering, I have also developed algorithms for improving support vector machines.
研究兴趣
论文共 305 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
American journal of respiratory and critical care medicineno. 3 (2024): 273-287
SCIENTIFIC REPORTSno. 1 (2024)
CoRR (2024)
引用0浏览0EI引用
0
0
International Conference on Artificial Intelligence and Statisticspp.55-63, (2024)
引用0浏览0EI引用
0
0
ICML 2023 (2023)
ICLR 2023 (2023)
引用0浏览0引用
0
0
IEEE transactions on pattern analysis and machine intelligenceno. 7 (2023): 9149-9168
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) (2023)
引用0浏览0引用
0
0
加载更多
作者统计
#Papers: 305
#Citation: 11284
H-Index: 46
G-Index: 99
Sociability: 7
Diversity: 1
Activity: 3
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