基本信息
浏览量:40
职业迁徙
个人简介
His research currently deals with the emerging field of Geometric Deep Learning and, in particular, with generalisation of Convolutional Neural Networks (CNNs) for signals defined on manifolds and graphs. GDL currently represents one of the latest and most active research fields in Machine Learning thanks to broad applicability and novelty it presents. Possible applications of GDL techniques range from Recommendation Systems (e.g. Matrix Completion problems), to Biomedical solutions (e.g. Disease Predictions), to Shape Analysis approaches (e.g. Shape Correspondence).
研究兴趣
论文共 53 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 medical genetics. Part Ano. 2 (2023): 424-436
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen,Federico Monti, Katarzyna Janocha,Tomo Lazovich,Jeetu Raj, Yedendra Shrinivasan, Hao Li,Thomas Markovich
arxiv(2023)
引用0浏览0EI引用
0
0
Laura Zampini,Gaia Silibello, Domenica Mastromattei, Elena Pagliaccia,Federico Monti,Paola Zanchi,Paola Francesca Ajmone,Maria Antonella Costantino,Paola Giovanna Vizziello
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