Shinichi Oeda

发表

Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes

Shinichi Oeda, Genki Hashimoto, S. Oeda, 2017, KES.

A Classification Capability of Reflective Neural Networks in Medical Databases

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2003, KES.

A learning method of immune multi-agent neural networks

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2004, Neural Computing & Applications.

Development of a Check Sheet for Code-review towards Improvement of Skill Level of Novice Programmers

Shinichi Oeda, Hajime Kosaku, S. Oeda, 2018, KES.

Time Series Data Classification Using Recurrent Neural Network with Ensemble Learning

Takumi Ichimura, Shinichi Oeda, Ikusaburo Kurimoto, 2006, KES.

Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations

Kenji Yamanishi, Shinichi Oeda, Yu Ito, 2014, EDM.

Adaptive evolutional learning method of neural networks using genetic algorithms under dynamic environments

Tetsuyuki Takahama, Takumi Ichimura, Shinichi Oeda, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Extracting Time-evolving Latent Skills from Examination Time Series

Kenji Yamanishi, Shinichi Oeda, 2013, EDM.

Visualization of Programming Skill Structure by Log-Data Analysis with Decision Tree

Shinichi Oeda, Mutsumi Chieda, 2019, KES.

Application of Multiple Neural Networks to Time Sequence Data - Prediction of Nosocomial Infection in Intensive Care Unit Patients

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2007 .

An adaptive evolutional neuro learning method using genetic search and extraction of rules from trained networks

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders

Takumi Ichimura, Katsumi Yoshida, Toshiyuki Yamashita, 2003, KES.

Darwinian Inheritance Genetic Learning Method of Neural Networks Under Dynamic Environment and its Application to Diagnostic System for Hepatobiliary Disorders

Takumi Ichimura, Katsumi Yoshida, Toshiyuki Yamashita, 2001 .

Comparison of Proportional Hazard Model and Neural Network Models in a real data set of intensive care unit patients

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2004, MedInfo.

A Learning Method of Neural Network with Lattice Architecture

Takumi Ichimura, Eiichiro Tazaki, Toshiyuki Yamashita, 2002 .

A Classification Method of Medical Database by Immune Multi-agent Neural Networks with Planar Lattice Architecture

Takumi Ichimura, Katsumi Yoshida, Toshiyuki Yamashita, 2003, KES.

Immune Multi Agent Neural Network and Its Application to the Coronary Heart Disease Database

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2004, KES.

Knowledge Discovery and Data Mining in Medicine

Akira Hara, Takumi Ichimura, Katsumi Yoshida, 2005 .

Neural Networks Applied to Medical Data for Prediction of Patient Outcome

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2008 .

Student Modeling Using Convex Factorization Machines

Shinichi Oeda, Daiki Shimizu, Hikaru Yamashita, 2019, FSDM.

An Optimization of Sandglass-Type Neural Network Using GA and IA

Shinichi Oeda, Tatsuya Koyama, 2008 .

Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding

Kenji Yamanishi, Shinichi Oeda, Yu Ito, 2016, SDM.

Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes

Takumi Ichimura, Katsumi Yoshida, Shinichi Oeda, 2007, IMECS.

Student Modeling Method Integrating Knowledge Tracing and IRT with Decay Effect

Shinichi Oeda, Kouta Asai, 2016, EKM@EKAW.

Verification of Usefulness of Student Modeling with Real Educational Data using Convex Factorization Machines

Shinichi Oeda, Daiki Shimizu, 2021, KES.