Nobuhiko KONDO

J-GLOBAL         Last updated: Jan 31, 2019 at 13:08
 
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Name
Nobuhiko KONDO
Affiliation
Tokyo Metropolitan University
Section
University Education Center
Job title
Associate Professor
Research funding number
10534612
Twitter ID
@nobuhiko_kondo

Research Areas

 
 

Published Papers

 
Nobuhiko KONDO, Toshiharu HATANAKA
Japan journal of educational technology   41(3) 271-281   2017   [Refereed]
Analysis of Driver Perceptions and Behavior When Driving in an Unfamiliar Traffic Regulation
Hidetoshi Nakayasu, Tetsuya Miyoshi, Nobuhiko Kondo, Hirokazu Aoki, and Patrick Patterso
Journal of Advanced Computational Intelligence and Intelligent Informatics   15(8) 1039-1048   2011   [Refereed]
Cross Culture Analysis on Perception and Behavior of Driver for US-JAPAN Traffic Regulation
Hidetoshi Nakayasu, Tetsuya Miyoshi, Nobuhiko Kondo, and Hirokazu Aoki
Proceedings of Joint 5th Conference of Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems   991-996   2010   [Refereed]
Guide Selection Methods Using Topology in Multi-objective Particle Swarm Optimization
Takeshi Uchitane, Nobuhiko Kondo, and Toshiharu Hatanaka
Proceedings of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems   1038-1042   2008   [Refereed]
RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization
Nobuhiko Kondo, Toshiharu Hatanaka, and Katsuji Uosaki
Journal of Advanced Computational Intelligence and Intelligent Informatics   12(3) 297-303   2008   [Refereed]

Books etc

 
Advances in Cognitive Ergonomics
Hirokazu Aoki, Hidetoshi Nakayasu, Nobuhiko Kondo, and Tetsuya Miyoshi (Part:Contributor, Cognitive Study on Driver's Behavior by Vehicle Trajectory and Eye Movement in Virtual Environment)
CRC Press   2010   
Kaneda et al. eds. Frontiers of Computational Science
Nobuhiko Kondo, Toshiharu Hatanaka, and Katsuji Uosaki (Part:Contributor, Multi-objective Evolutionary RBF Networks and its Application to Ensemble Learning)
Springer   2007   
Multi-Objective Machine Learning
Toshiharu Hatanaka, Nobuhiko Kondo, and Katsuji Uosaki (Part:Contributor, Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification)
Springer   2006   

Conference Activities & Talks

 
Estimation of Learning Process based on Bayesian Network using LMS Log data
Nobuhiko Kondo and Toshiharu Hatanaka
SICE Annual Conference 2018   Sep 2018   
Bayesian Network about Students’ Learning Process
Nobuhiko Kondo and Toshiharu Hatanaka
7th IIAI International Congress on Advanced Applied Informatics   Jul 2018   
Student-Centered Enrollment System: Data-Assisted Advising Functions
Takeshi Matsuda, Yuki Watanabe, Katsusuke Shigeta, Nobuhiko Kondo, and Hiroshi Kato
the 58th AIR Annual Forum   May 2018   
Early Detection of At-Risk Students Using Machine Learning Based on LMS Log Data
Nobuhiko Kondo, Midori Okubo, and Toshiharu Hatanaka
6th IIAI International Congress on Advanced Applied Informatics   Jul 2017   
Topology-based Personal Selection in Multi-objective Particle Swarm Optimization
Takeshi Korenaga, Nobuhiko Kondo, Toshiharu Hatanaka, and Katsuji Uosaki
SICE Annual Conference   2008