Koh Takeuchi
Scholar

Koh Takeuchi

Google Scholar ID: TG7jlRoAAAAJ
Kyoto University
Machine LearningData Mining
Citations & Impact
All-time
Citations
589
 
H-index
13
 
i10-index
19
 
Publications
20
 
Co-authors
10
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Academic Activities: Delivered a lecture at the Kyoto University Faculty of Engineering open seminar on October 22, 2025; gave an invited talk at the Tohoku University Knowledge Creation Center x Tokyo Electron Public Symposium on February 21, 2025; presented research findings at the Applied Spatial Statistics Workshop @ Institute of Statistical Mathematics on January 8, 2025.
Research Experience
  • Research Areas: New data analysis methods and mathematical models based on machine learning (especially probability, statistics, and deep learning); applying the proposed techniques in actual data analysis and researching methodologies for leveraging model predictions in societal decision-making.
Background
  • Research Interests: Machine Learning, Data Mining, Artificial Intelligence. Profile: Committed to creating new technologies through free thinking and testing them on real data. Aiming to develop AI that can tolerate some errors but is generally correct.
Miscellany
  • Philosophy: Creating a space where those who use AI, those who create AI, and AI itself can all grow together.