基本信息
浏览量:8

个人简介
Julia Moosbauer is currently pursuing the Doctoral degree with the Chair for Statistical Learning and Data Science, Ludwig-Maximilians-Universität München, Munich, Germany.
She is a member of the Munich Center for Machine Learning. Her research focus lies in the interface between automated and explainable machine learning with the goal to increase transparency and trust into automated machine learning systems. She is also interested in hyperparameter optimization algorithms (in particular, Bayesian optimization), algorithm configuration, multiobjective optimization, and (sequential) experimental design.
研究兴趣
论文共 21 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
COMMUNICATIONS BIOLOGYno. 1 (2024)
M. Jorge Cardoso,Julia Moosbauer,Tessa S. Cook,B. Selnur Erdal,Brad Genereaux,Vikash Gupta,Bennett A. Landman,Tiarna Lee,Parashkev Nachev, Elanchezhian Somasundaram,Ronald M. Summers, Khaled Younis,Sebastien Ourselin,Franz MJ Pfister
arXivorg (2023)
ACM Transactions on Evolutionary Learning and Optimizationno. 4 (2023): 1-50
Research Square (Research Square) (2023)
arXiv (Cornell University) (2023)
加载更多
作者统计
#Papers: 21
#Citation: 177
H-Index: 6
G-Index: 12
Sociability: 4
Diversity: 1
Activity: 19
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