Our paper, “Anisotropic Estimation of Station Market Areas by Supervised Learning Using Geospatial Information and IC Commuter Pass Data“, is selected as JSAI Annual Conference Award at The 36th Annual Conference of the Japanese Society for Artificial Intelligence, 2022.
Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, and Koh Takeuchi.
“Anisotropic Estimation of Station Market Areas by Supervised Learning Using Geospatial Information and IC Commuter Pass Data“
Proceedings of JSAI 2022
List of JSAI Annual Conference Award