PhD_Thesis_HuangLi.pdf (8.45 MB)
VISUAL ANALYTICS AND INTERACTIVE MACHINE LEARNING FOR HUMAN BRAIN DATA
This research focuses on using visualization techniques to help neuroscientists in understanding, developing and applying better machine learning models with human brain data.
We built a software platform for multi-modal visualization and then apply advance techniques to interactively train a machine learning model with fewer data. We also proposed a method to visualize the features captured by the hidden layers in deep neural networks.
History
Degree Type
- Doctor of Philosophy
Department
- Computer Science
Campus location
- Indianapolis
