Forecasting Students' Grades Using a Bayesian Network Model and an Evaluation of Its Usefulensss. - Keisuke Itoh; Hirotaka Itoh; Kenji Funahashi (SNPD, 2012)

Forecasting Students' Future Academic Records Using Past Attendance Recording Data and Grade Data. - Hirotaka Itoh; Yuma Itoh; Kenji Funahashi; Daisuke Yamamoto; Shoichi Saito; Ichi Takumi; Hiroshi Matsuo (KES, 2013)

Forecasting students' future academic records using Bayesian network. - Hirotaka Itoh; Yuma Itoh; Kenji Funahashi; Daisuke Yamamoto; Shoichi Saito; Hiroshi Matsuo; Ichi Takumi (SCIS&ISIS, 2014)

Forecasting future students' academic level and analyzing students' feature using schooling logs. - Yuma Itoh; Hirotaka Itoh; Kenji Funahashi (GCCE, 2015)

A method of identifying students who require guidance using Bayesian network. - Hirotaka Itoh; Masaya Nishiwaki; Kenji Funahashi (GCCE, 2015)

Location estimation method using side information. - Eisuke Kudoh; Hirotaka Itoh (ICUFN, 2015)

Distributing evacuees method to appropriate routes according to variation of person number. - Takeru Kimura; Kenji Funahashi; Hirotaka Itoh (GCCE, 2017)

Virtual Remote View System in Traffic Jam Using Smartphone Peer-to-peer Image Propagation. - Shohei Miki; Hirotaka Itoh; Kenji Funahashi (ICAT-EGVE (Posters and Demos), 2019)

Analysis of the Relationship Between University Attendance and Grades by Data Mining. - Tatsukaze Naganawa; Hirotaka Itoh; Kenji Funahashi (GCCE, 2020)

Estimating the Optimal Parameters of SEIR model for Predicting the Trajectory of COVID-19 Pandemic in Japan. - Taichi Fukuta; Hirotaka Itoh; Kenji Funahashi (GCCE, 2021)

Analysis of the impact of COVID-19 on student life based on the results of a survey. - Takato Kamimura; Hirotaka Itoh; Kenji Funahashi (SCIS/ISIS, 2022)