基本信息
浏览量:262
职业迁徙
个人简介
After completing my PhD in Graph-based Mining and Retrieval at the Max Planck Institute for Computer Science in Saarbrücken, Germany, in 2009, I joined Microsoft Research in Cambridge, UK, as a postdoctoral researcher, where I worked on probabilistic inference in knowledge bases. In 2011, I joined the Hasso Plattner Institute in Potsdam, Germany, where I led the Web Mining and Analytics Research Group. Mid 2014, I joined SCHUFA Holding AG, where I currently hold the CTO position. Since April 2018, I am also leading the Data Science and Analytics Research Group at the University of Tübingen.
Research Interests
Feature engineering: The extraction and development of meaningful and explainable features
Predictive modelling: The development of robust and explainable predictive models
Quality assessment of training data sets: The development of techniques for quantifying the quality of training data
Research Interests
Feature engineering: The extraction and development of meaningful and explainable features
Predictive modelling: The development of robust and explainable predictive models
Quality assessment of training data sets: The development of techniques for quantifying the quality of training data
研究兴趣
论文共 134 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
Enkelejda Kasneci,Hong Gao, Suleyman Ozdel,Virmarie Maquiling, Enkeleda Thaqi, Carrie Lau,Yao Rong,Gjergji Kasneci,Efe Bozkir
arxiv(2024)
引用0浏览0引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
Arne Bewersdorff,Christian Hartmann, Marie Hornberger,Kathrin Seßler,Maria Bannert,Enkelejda Kasneci,Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel
CoRR (2024)
引用0浏览0EI引用
0
0
Yao Rong,Tobias Leemann, Thai-Trang Nguyen, Lisa Fiedler,Peizhu Qian,Vaibhav Unhelkar,Tina Seidel,Gjergji Kasneci,Enkelejda Kasneci
IEEE transactions on pattern analysis and machine intelligenceno. 4 (2024): 2104-2122
Xuan Zhao,Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi,Klaus Broelemann,Steffen Staab,Gjergji Kasneci
CoRR (2023)
引用0浏览0EI引用
0
0
2023 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW 2023 (2023): 976-984
加载更多
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