基本信息
浏览量:0
职业迁徙
个人简介
DAVID BYRD is a research scientist in the Interactive Media Technology Center (IMTC) at Georgia Tech. His research interests include machine learning, complex data analysis, pattern recognition, supervised learning for financial markets, and data visualization. Byrd received a BS in computer science from Georgia Tech. Contact him at db@gatech.edu.
研究兴趣
论文共 32 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
2023 Winter Simulation Conference (WSC) (2023): 291-302
3RD ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2022 (2022): 139-147
3RD ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2022 (2022): 114-122
International Conference on AI in Finance (ICAIF)pp.49:1-49:9, (2021)
ICAIF 2021: THE SECOND ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE (2021)
引用1浏览0引用
1
0
Proceedings of the Second ACM International Conference on AI in Finance (2021)
Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (2020)
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