基本信息
浏览量:14
职业迁徙
个人简介
His research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning and reasoning under uncertainty. He has published more than 300 articles on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards. Professor Hüllermeier serves on the editorial board of several journals, including Machine Learning, Journal of Machine Learning Research, Data Mining and Knowledge Discovery, IEEE Computational Intelligence Magazine, Artificial Intelligence Review, and the International Journal of Approximate Reasoning. He is a coordinator of the EUSFLAT working group on Machine Learning and Data Mining and head of the IEEE CIS Task Force on Machine Learning.
研究兴趣
论文共 20 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
CoRR (2023)
引用0浏览0EI引用
0
0
DSpp.189-203, (2023)
引用0浏览0EI引用
0
0
GECCOpp.597-605, (2023)
引用0浏览0EI引用
0
0
Elias Schede, Jasmin Brandt,Alexander Tornede,Marcel Wever,Viktor Bengs,Eyke Hüllermeier,Kevin Tierney
IJCAI '23: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligencepp.6964-6968, (2023)
引用0浏览0EI引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
引用30浏览0EI引用
30
0
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