Hirotaka Itoh

11 papers B 1C 1Unranked 9
YearRankTypeTitle / Venue / Authors
2022 — conf
Analysis of the impact of COVID-19 on student life based on the results of a survey.
SCIS/ISIS
Takato Kamimura, Hirotaka Itoh, Kenji Funahashi
2021 — conf
Estimating the Optimal Parameters of SEIR model for Predicting the Trajectory of COVID-19 Pandemic in Japan.
GCCE
Taichi Fukuta, Hirotaka Itoh, Kenji Funahashi
2020 — conf
Analysis of the Relationship Between University Attendance and Grades by Data Mining.
GCCE
Tatsukaze Naganawa, Hirotaka Itoh, Kenji Funahashi
2019 — conf
Virtual Remote View System in Traffic Jam Using Smartphone Peer-to-peer Image Propagation.
ICAT-EGVE (Posters and Demos)
Shohei Miki, Hirotaka Itoh, Kenji Funahashi
2017 — conf
Distributing evacuees method to appropriate routes according to variation of person number.
GCCE
Takeru Kimura, Kenji Funahashi, Hirotaka Itoh
2015 — conf
A method of identifying students who require guidance using Bayesian network.
GCCE
Hirotaka Itoh, Masaya Nishiwaki, Kenji Funahashi
2015 — conf
Forecasting future students' academic level and analyzing students' feature using schooling logs.
GCCE
Yuma Itoh, Hirotaka Itoh, Kenji Funahashi
2015 — conf
Location estimation method using side information.
ICUFN
Eisuke Kudoh, Hirotaka Itoh
2014 — conf
Forecasting students' future academic records using Bayesian network.
SCIS&ISIS
Hirotaka Itoh, Yuma Itoh, Kenji Funahashi, Daisuke Yamamoto, Shoichi Saito, Hiroshi Matsuo, Ichi Takumi
2013 B conf
Forecasting Students' Future Academic Records Using Past Attendance Recording Data and Grade Data.
KES
Hirotaka Itoh, Yuma Itoh, Kenji Funahashi, Daisuke Yamamoto, Shoichi Saito, Ichi Takumi, Hiroshi Matsuo
2012 C conf
Forecasting Students' Grades Using a Bayesian Network Model and an Evaluation of Its Usefulensss.
SNPD
Keisuke Itoh, Hirotaka Itoh, Kenji Funahashi