Shinichi Oeda

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 11

Top Topics

Student Modeling

Educational Data Mining

Normalized Maximum Likelihood

Intelligent Tutoring

Top Venues

Publications

Shinichi Oeda, Shunichi Hasegawa
A student modeling method combining Deep Learning and forgetting models with Knowledge Tracing. KES (2023)
Toma Kakizaki, Shinichi Oeda
Student modeling considering learning behavior history with deep factorization machines. KES (2023)
Shinichi Oeda, Shunsuke Iizumi
Data Preprocessing with IRM for skill extraction using NMF. KES (2022)
Shinichi Oeda, Toma Kakizaki
Latent State Estimation Method for Students Using Knowledge Tracing Combining with IRT. KES (2022)
Shinichi Oeda, Daiki Shimizu
Verification of Usefulness of Student Modeling with Real Educational Data using Convex Factorization Machines. KES (2021)
Shinichi Oeda, Mutsumi Chieda
Visualization of Programming Skill Structure by Log-Data Analysis with Decision Tree. KES (2019)
Shinichi Oeda, Daiki Shimizu, Hikaru Yamashita
Student Modeling Using Convex Factorization Machines. FSDM (2019)
Shinichi Oeda, Hajime Kosaku
Development of a Check Sheet for Code-review towards Improvement of Skill Level of Novice Programmers. KES (2018)
Shinichi Oeda, Genki Hashimoto
Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes. KES (2017)
Shinichi Oeda, Kouta Asai
Student Modeling Method Integrating Knowledge Tracing and IRT with Decay Effect. EKM@EKAW (2016)
Yu Ito, Shinichi Oeda, Kenji Yamanishi
Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding. SDM (2016)
Shinichi Oeda, Yu Ito, Kenji Yamanishi
Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations. EDM (2014)
Shinichi Oeda, Kenji Yamanishi
Extracting Time-evolving Latent Skills from Examination Time Series. EDM (2013)
Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa
Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes. IMECS (2007)
Shinichi Oeda, Ikusaburo Kurimoto, Takumi Ichimura
Time Series Data Classification Using Recurrent Neural Network with Ensemble Learning. KES (3) (2006)
Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida
A learning method of immune multi-agent neural networks. Neural Comput. Appl. 14 (2) (2005)
Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida
Immune Multi Agent Neural Network and Its Application to the Coronary Heart Disease Database. KES (2004)
Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa
Comparison of Proportional Hazard Model and Neural Network Models in a real data set of intensive care unit patients. MedInfo (2004)
Shinichi Oeda, Takumi Ichimura, Toshiyuki Yamashita, Katsumi Yoshida
A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders. KES (2003)
Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida
A Classification Capability of Reflective Neural Networks in Medical Databases. KES (2003)
Takumi Ichimura, Shinichi Oeda, Toshiyuki Yamashita, Katsumi Yoshida
A Classification Method of Medical Database by Immune Multi-agent Neural Networks with Planar Lattice Architecture. KES (2003)
Shinichi Oeda, Takumi Icmmura, Toshiyuki Yamashita
Biological immune system by evolutionary adaptive learning of neural networks. IEEE Congress on Evolutionary Computation (2002)
Takumi Ichimura, Shinichi Oeda, Katsumi Yoshida
An adaptive evolutional neuro learning method using genetic search and extraction of rules from trained networks. CEC (2001)
Shinichi Oeda, Takumi Ichimura, Mutsuhiro Terauchi, Tetsuyuki Takahama, Yoshinori Isomichi
Adaptive evolutional learning method of neural networks using genetic algorithms under dynamic environments. KES (2000)