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2020 – today
- 2022
[c11]Takato Kamimura, Hirotaka Itoh, Kenji Funahashi:
Analysis of the impact of COVID-19 on student life based on the results of a survey. SCIS/ISIS 2022: 1-4- 2021
- [c10]Taichi Fukuta, Hirotaka Itoh, Kenji Funahashi:
Estimating the Optimal Parameters of SEIR model for Predicting the Trajectory of COVID-19 Pandemic in Japan. GCCE 2021: 490-493 - 2020
- [c9]Tatsukaze Naganawa, Hirotaka Itoh, Kenji Funahashi:
Analysis of the Relationship Between University Attendance and Grades by Data Mining. GCCE 2020: 134-137
2010 – 2019
- 2019
- [c8]Shohei Miki, Hirotaka Itoh, Kenji Funahashi:
Virtual Remote View System in Traffic Jam Using Smartphone Peer-to-peer Image Propagation. ICAT-EGVE (Posters and Demos) 2019: 5-6 - 2017
- [c7]Takeru Kimura, Kenji Funahashi, Hirotaka Itoh:
Distributing evacuees method to appropriate routes according to variation of person number. GCCE 2017: 1-4 - 2015
- [c6]Hirotaka Itoh, Masaya Nishiwaki, Kenji Funahashi:
A method of identifying students who require guidance using Bayesian network. GCCE 2015: 283-287 - [c5]Yuma Itoh, Hirotaka Itoh, Kenji Funahashi:
Forecasting future students' academic level and analyzing students' feature using schooling logs. GCCE 2015: 288-291 - [c4]Eisuke Kudoh, Hirotaka Itoh:
Location estimation method using side information. ICUFN 2015: 26-28 - 2014
- [c3]Hirotaka Itoh, Yuma Itoh, Kenji Funahashi, Daisuke Yamamoto, Shoichi Saito, Hiroshi Matsuo, Ichi Takumi:
Forecasting students' future academic records using Bayesian network. SCIS&ISIS 2014: 458-462 - 2013
- [c2]Hirotaka Itoh, Yuma Itoh, Kenji Funahashi, Daisuke Yamamoto, Shoichi Saito, Ichi Takumi, Hiroshi Matsuo:
Forecasting Students' Future Academic Records Using Past Attendance Recording Data and Grade Data. KES 2013: 921-927 - 2012
- [c1]Keisuke Itoh, Hirotaka Itoh, Kenji Funahashi:
Forecasting Students' Grades Using a Bayesian Network Model and an Evaluation of Its Usefulensss. SNPD 2012: 331-336
Coauthor Index
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