开课单位--伍斯特理工学院
1 1/1

1
Anomaly Detection with Robust Deep Autoencoders[鲁棒深度自动编码器的异常检测]
  Chong Zhou(伍斯特理工学院) Deep autoencoders, and other deep neural networks, have demonstrated their effectiveness in discovering non-linear features across many problem domain...
热度：19

2
Graph Classification using Structural Attention[使用结构注意的图形分类]
  John Boaz Lee(伍斯特理工学院) Graph classification is a problem with practical applications in many different domains. To solve this problem, one usually calculates certain graph s...
热度：23

3
Urban Agents & Citizen Apps, Towards an Autonomous Interactive Urban Planning Platform[一个应用于自治互动城市规划平台的城市代理和公民应用程序]
  Fabio Carrera(伍斯特理工学院) Fabio Carrera (MIT Ph.D.) will present some real-world applications that begin to demonstrate how it is now becoming practical to “fill the City...
热度：53

4
Cloning and embryonic stem cells for regenerative medicine / Kloniranje in embrionalne matične celice za regenerativno medicino[用于再生医学的克隆和胚胎干细胞]
  Tanja Dominko(伍斯特理工学院) Parkinsons, Alzheimers, diabetes and other degenerative diseases could be treated with cell transplantation of new and healthy cells. During the past ...
热度：40

5
Semi-supervised Feature Selection for Graph Classification[图分类的半监督特征选择 ]
  Xiangnan Kong(伍斯特理工学院) The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of...
热度：97
1 1/1