Shinichi Oeda

26 papers A 1B 19Journal 1Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
Empowerment-AI-Enhanced System for Initiating and Sustaining Vocabulary Learning in EFL Learners.
KES
Shinichi Oeda
2024 B conf
Deep Learning-based Source Code Classification and Visualization of Decision Rationales.
KES
Shinichi Oeda, Seiya Mitsumori
2023 B conf
A student modeling method combining Deep Learning and forgetting models with Knowledge Tracing.
KES
Shinichi Oeda, Shunichi Hasegawa
2023 B conf
Student modeling considering learning behavior history with deep factorization machines.
KES
Toma Kakizaki, Shinichi Oeda
2022 B conf
Data Preprocessing with IRM for skill extraction using NMF.
KES
Shinichi Oeda, Shunsuke Iizumi
2022 B conf
Latent State Estimation Method for Students Using Knowledge Tracing Combining with IRT.
KES
Shinichi Oeda, Toma Kakizaki
2021 B conf
Verification of Usefulness of Student Modeling with Real Educational Data using Convex Factorization Machines.
KES
Shinichi Oeda, Daiki Shimizu
2019 — conf
Student Modeling Using Convex Factorization Machines.
FSDM
Shinichi Oeda, Daiki Shimizu, Hikaru Yamashita
2019 B conf
Visualization of Programming Skill Structure by Log-Data Analysis with Decision Tree.
KES
Shinichi Oeda, Mutsumi Chieda
2018 B conf
Development of a Check Sheet for Code-review towards Improvement of Skill Level of Novice Programmers.
KES
Shinichi Oeda, Hajime Kosaku
2017 B conf
Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes.
KES
Shinichi Oeda, Genki Hashimoto
2016 A conf
Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding.
SDM
Yu Ito, Shinichi Oeda, Kenji Yamanishi
2016 — conf
Student Modeling Method Integrating Knowledge Tracing and IRT with Decay Effect.
EKM@EKAW
Shinichi Oeda, Kouta Asai
2014 B conf
Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations.
EDM
Shinichi Oeda, Yu Ito, Kenji Yamanishi
2013 B conf
Extracting Time-evolving Latent Skills from Examination Time Series.
EDM
Shinichi Oeda, Kenji Yamanishi
2007 — conf
Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes.
IMECS
Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa
2006 — conf
Time Series Data Classification Using Recurrent Neural Network with Ensemble Learning.
KES (3)
Shinichi Oeda, Ikusaburo Kurimoto, Takumi Ichimura
2005 J jnl
A learning method of immune multi-agent neural networks.
Neural Comput. Appl.
Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida
2004 — conf
Comparison of Proportional Hazard Model and Neural Network Models in a real data set of intensive care unit patients.
MedInfo
Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa
2004 B conf
Immune Multi Agent Neural Network and Its Application to the Coronary Heart Disease Database.
KES
Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida
2003 B conf
A Classification Capability of Reflective Neural Networks in Medical Databases.
KES
Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida
2003 B conf
A Classification Method of Medical Database by Immune Multi-agent Neural Networks with Planar Lattice Architecture.
KES
Takumi Ichimura, Shinichi Oeda, Toshiyuki Yamashita, Katsumi Yoshida
2003 B conf
A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders.
KES
Shinichi Oeda, Takumi Ichimura, Toshiyuki Yamashita, Katsumi Yoshida
2002 B conf
Biological immune system by evolutionary adaptive learning of neural networks.
IEEE Congress on Evolutionary Computation
Shinichi Oeda, Takumi Icmmura, Toshiyuki Yamashita
2001 B conf
An adaptive evolutional neuro learning method using genetic search and extraction of rules from trained networks.
CEC
Takumi Ichimura, Shinichi Oeda, Katsumi Yoshida
2000 B conf
Adaptive evolutional learning method of neural networks using genetic algorithms under dynamic environments.
KES
Shinichi Oeda, Takumi Ichimura, Mutsuhiro Terauchi, Tetsuyuki Takahama, Yoshinori Isomichi