Kiyoshi Izumi
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About
Professor Kiyoshi Izumi is a faculty member at the University of Tokyo, Japan. His research focuses on advanced applications of artificial intelligence, particularly in causality identification, surgical workflow segmentation, and financial market analysis. Recent publications include topics such as knowledge-enhanced pre-training, Bayesian networks, and sentiment analysis in economic reporting.
Recent Grants
Grant: Close
代替データと理論モデルの融合による新たな経済観測
Open Date: 2020-04-01
Close Date: 2022-03-31
Grant: Close
Introduction of a branching facility into large-scale agent simulation
Open Date: 2016-04-01
Close Date: 2019-03-31
Grant: Close
Data-oriented simulation technology to generate and analyze rare social situations
Open Date: 2015-04-01
Close Date: 2019-03-31
Grant: Close
A study on resilience from systemic risks in the socio-economic system
Open Date: 2014-04-01
Close Date: 2017-03-31
Grant: Close
Key Technologies of Social Simulation for Unexpected Circumstances
Open Date: 2013-04-01
Close Date: 2015-03-31
Articles (7)
Year:
2025
Year:
2021
Year:
2021
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2020
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2020
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2020
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2020
Collaborators (2)
Atsushi Nara
Associate Professor
San Diego State University
Hiroyasu Matsushima
Associate Professor
Shiga University
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