Profile
Doctoral Student
Izumi Lab., Department of System Innovation, Graduate School of Engineering
The University of Tokyo
JSPS Research Fellow DC1 (2017.4–2020.3)
Email: m2015tioth @ socsim.org
Research Interest
・Interpretable Neural Networks with high predictability
・Financial Text Mining
・Market Sentiment Analysis, Stock Price Trend Analysis
・Interpretation of Deep NNs (e.g. LRP, LIME, Integrated Gradients)
Research Overview
Text visualization for nonexperts
Education
2011/04-2015/03 B.Eng. at Department of Mathematical Engineering and Information Physics, the University of Tokyo.
2015/-4-2017/03 M.Eng. at Department of System Innovation, the University of Tokyo.
2017/04-present D.Eng. at Department of System Innovation, the University of Tokyo (DC1).