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ORCIDShinichi Oeda
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2020 – today
- 2023
[c23]Shinichi Oeda, Shunichi Hasegawa:
A student modeling method combining Deep Learning and forgetting models with Knowledge Tracing. KES 2023: 1191-1200- [c22]Toma Kakizaki, Shinichi Oeda:
Student modeling considering learning behavior history with deep factorization machines. KES 2023: 2808-2815 - 2022
- [c21]Shinichi Oeda, Toma Kakizaki:
Latent State Estimation Method for Students Using Knowledge Tracing Combining with IRT. KES 2022: 1992-1999 - [c20]Shinichi Oeda, Shunsuke Iizumi:
Data Preprocessing with IRM for skill extraction using NMF. KES 2022: 2283-2290 - 2021
- [c19]Shinichi Oeda, Daiki Shimizu:
Verification of Usefulness of Student Modeling with Real Educational Data using Convex Factorization Machines. KES 2021: 804-811
2010 – 2019
- 2019
- [c18]Shinichi Oeda, Daiki Shimizu, Hikaru Yamashita:
Student Modeling Using Convex Factorization Machines. FSDM 2019: 688-693 - [c17]Shinichi Oeda, Mutsumi Chieda:
Visualization of Programming Skill Structure by Log-Data Analysis with Decision Tree. KES 2019: 582-589 - 2018
- [c16]Shinichi Oeda, Hajime Kosaku:
Development of a Check Sheet for Code-review towards Improvement of Skill Level of Novice Programmers. KES 2018: 841-849 - 2017
- [c15]Shinichi Oeda, Genki Hashimoto:
Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes. KES 2017: 614-621 - 2016
- [c14]Shinichi Oeda, Kouta Asai:
Student Modeling Method Integrating Knowledge Tracing and IRT with Decay Effect. EKM@EKAW 2016: 19-26 - [c13]Yu Ito, Shinichi Oeda, Kenji Yamanishi
:
Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding. SDM 2016: 720-728 - 2014
- [c12]Shinichi Oeda, Yu Ito, Kenji Yamanishi:
Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations. EDM 2014: 367-368 - 2013
- [c11]Shinichi Oeda, Kenji Yamanishi:
Extracting Time-evolving Latent Skills from Examination Time Series. EDM 2013: 340-341
2000 – 2009
- 2007
- [c10]Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa:
Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes. IMECS 2007: 839-844 - 2006
- [c9]Shinichi Oeda, Ikusaburo Kurimoto, Takumi Ichimura:
Time Series Data Classification Using Recurrent Neural Network with Ensemble Learning. KES (3) 2006: 742-748 - 2005
- [j1]Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida:
A learning method of immune multi-agent neural networks. Neural Comput. Appl. 14(2): 132-148 (2005) - 2004
- [c8]Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida:
Immune Multi Agent Neural Network and Its Application to the Coronary Heart Disease Database. KES 2004: 1097-1105 - [c7]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: 741-745 - 2003
- [c6]Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida:
A Classification Capability of Reflective Neural Networks in Medical Databases. KES 2003: 373-379 - [c5]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: 380-387 - [c4]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: 526-532 - 2002
- [c3]Shinichi Oeda, Takumi Icmmura, Toshiyuki Yamashita:
Biological immune system by evolutionary adaptive learning of neural networks. IEEE Congress on Evolutionary Computation 2002: 1976-1981 - 2001
- [c2]Takumi Ichimura, Shinichi Oeda, Katsumi Yoshida:
An adaptive evolutional neuro learning method using genetic search and extraction of rules from trained networks. CEC 2001: 1343-1350 - 2000
- [c1]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: 742-745
Coauthor Index
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