Kyong Joo Oh

44 papers Journal 37Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-path time-series generation and prediction model for financial markets using discriminator-filtered Monte Carlo TimeGAN.
Appl. Soft Comput.
Ho Sun Ryou, Sang Hoe Kim, Heesoo Lee, Kyong Joo Oh
2025 J jnl
Prediction of index futures movement using TimeGAN and 3D-CNN: Empirical evidence from Korea and the United States.
Appl. Soft Comput.
Woojung Kim, Jiyoung Jeon, Sanghoe Kim, Minwoo Jang, Heesoo Lee, Sanghyuk Yoo, Kyong Joo Oh
2023 J jnl
Combining CNN and Grad-CAM for profitability and explainability of investment strategy: Application to the KOSPI 200 futures.
Expert Syst. Appl.
Sanghoe Kim, Jun Shin Park, Heesoo Lee, Sanghyuk Yoo, Kyong Joo Oh
2022 J jnl
Neural network foreign exchange trading system using CCS-IRS basis: Empirical evidence from Korea.
Expert Syst. Appl.
Hyun Wook Lim, Seung Hwan Jeong, Kyong Joo Oh, Hee Soo Lee
2017 J jnl
An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms.
Appl. Soft Comput.
Young Min Kim, Wonbin Ahn, Kyong Joo Oh, David Enke
2017 J jnl
Using genetic algorithm to support clustering-based portfolio optimization by investor information.
Appl. Soft Comput.
Donghyun Cheong, Young Min Kim, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim
2015 J jnl
A new methodology for carbon price forecasting in EU ETS.
Expert Syst. J. Knowl. Eng.
Sung Kwon Han, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim
2015 J jnl
Intelligent stock market instability index: Application to the Korean stock market.
Intell. Data Anal.
Young Min Kim, Sung Kwon Han, Tae Yoon Kim, Kyong Joo Oh, Zhiming Luo, Chiho Kim
2015 J jnl
Using a principal component analysis for multi-currencies-trading in the foreign exchange market.
Intell. Data Anal.
Hyun Woo Byun, Seungho Baek, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim
2012 J jnl
Applying option Greeks to directional forecasting of implied volatility in the options market: An intelligent approach.
Expert Syst. Appl.
Jae Joon Ahn, Dong Ha Kim, Kyong Joo Oh, Tae Yoon Kim
2012 J jnl
Bayesian forecaster using class-based optimization.
Appl. Intell.
Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim
2012 J jnl
How many reference patterns can improve profitability for real-time trading in futures market?
Expert Syst. Appl.
Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim
2012 J jnl
Using AHP to determine intangible priority factors for technology transfer adoption.
Expert Syst. Appl.
Sangjae Lee, Wanki Kim, Young Min Kim, Kyong Joo Oh
2012 J jnl
Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting.
Expert Syst. Appl.
Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim
2011 J jnl
A novel customer scoring model to encourage the use of mobile value added services.
Expert Syst. Appl.
Hyunchul Ahn, Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh
2011 J jnl
Corrigendum to "A novel customer scoring model to encourage the use of mobile value added services" [Expert Systems with Applications 38 (2011) 11693-11700].
Expert Syst. Appl.
Hyunchul Ahn, Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh
2011 J jnl
Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques.
Expert Syst. Appl.
Hyunchul Ahn, Jae Joon Ahn, Kyong Joo Oh, Dong Ha Kim
2011 J jnl
Lag-
Expert Syst. J. Knowl. Eng.
Jae Joon Ahn, Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Gyu Moon Song
2011 J jnl
Usefulness of support vector machine to develop an early warning system for financial crisis.
Expert Syst. Appl.
Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim, Dong Ha Kim
2011 J jnl
Using decision tree to develop a soil ecological quality assessment system for planning sustainable construction.
Expert Syst. Appl.
Joonhong Park, Dongwon Ki, Kangsuk Kim, Suk Jun Lee, Dong Ha Kim, Kyong Joo Oh
2010 — conf
Using Hybrid Data Mining Techniques for Facilitating Cross-Selling of a Mobile Telecom Market to Develop Customer Classification Model.
HICSS
Hyunchul Ahn, Chi Woo Song, Jae Joon Ahn, Hyoung Yong Lee, Tae Yoon Kim, Kyong Joo Oh
2010 J jnl
Using rough set to support investment strategies of real-time trading in futures market.
Appl. Intell.
Suk Jun Lee, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim
2009 J jnl
An early warning system for financial crisis using a stock market instability index.
Expert Syst. J. Knowl. Eng.
Dong Ha Kim, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim
2009 J jnl
An early warning system for global institutional investors at emerging stock markets based on machine learning forecasting.
Expert Syst. Appl.
Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Dong Ha Kim
2009 J jnl
Context-aware mobile service for routing the fastest subway path.
Expert Syst. Appl.
Namgyu Kim, Han Seok Lee, Kyong Joo Oh, Jae Young Choi
2009 J jnl
Intelligent forecasting for financial time series subject to structural changes.
Intell. Data Anal.
Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim
2009 — conf
Machine Learning Algorithm Selection for Forecasting Behavior of Global Institutional Investors.
HICSS
Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Min Sik Kim
2009 J jnl
Stock market stability index: An intelligent approach.
Intell. Data Anal.
Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Chiho Kim, Jong-Du Do
2009 — conf
Using Rough Set to Support Investment Strategies of Rule-Based Trading with Real-Time Data in Futures Market.
HICSS
Suk Jun Lee, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Chi Woo Song
2007 J jnl
Financial market monitoring by case-based reasoning.
Expert Syst. Appl.
Kyong Joo Oh, Tae Yoon Kim
2006 J jnl
An early warning system for detection of financial crisis using financial market volatility.
Expert Syst. J. Knowl. Eng.
Kyong Joo Oh, Tae Yoon Kim, Chiho Kim
2006 J jnl
Portfolio algorithm based on portfolio beta using genetic algorithm.
Expert Syst. Appl.
Kyong Joo Oh, Tae Yoon Kim, Sung-Hwan Min, Hyoung Yong Lee
2006 — conf
Using Neural Networks to Tune the Fluctuation of Daily Financial Condition Indicator for Financial Crisis Forecasting.
Australian Conference on Artificial Intelligence
Kyong Joo Oh, Tae Yoon Kim, Chiho Kim, Suk Jun Lee
2005 J jnl
Developing Time-Based Clustering Neural Networks to Use Change-Point Detection: Application to Financial Time Series.
Asia Pac. J. Oper. Res.
Kyong Joo Oh, Tae Hyup Roh, Myung Sang Moon
2005 — conf
Using Neural Networks to Support Early Warning System for Financial Crisis Forecasting.
Australian Conference on Artificial Intelligence
Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Hakbae Lee
2005 J jnl
Using genetic algorithm to support portfolio optimization for index fund management.
Expert Syst. Appl.
Kyong Joo Oh, Tae Yoon Kim, Sungky Min
2005 J jnl
Variance change point detection via artificial neural networks for data separation.
Neurocomputing
Kyong Joo Oh, Myung Sang Moon, Tae Yoon Kim
2004 J jnl
Artificial neural networks for non-stationary time series.
Neurocomputing
Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do
2004 J jnl
Usefulness of artificial neural networks for early warning system of economic crisis.
Expert Syst. Appl.
Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang
2003 — conf
A Cluster-indexing CBR Model for Collaborative Filtering Recommendation.
PACIS
Tae Hyup Roh, Kyong Joo Oh, Ingoo Han
2003 J jnl
The collaborative filtering recommendation based on SOM cluster-indexing CBR.
Expert Syst. Appl.
Tae Hyup Roh, Kyong Joo Oh, Ingoo Han
2002 J jnl
Analyzing stock market tick data using piecewise nonlinear model.
Expert Syst. Appl.
Kyong Joo Oh, Kyoung-Jae Kim
2002 J jnl
Piecewise nonlinear model for financial time series forecasting with artificial neural networks.
Intell. Data Anal.
Kyong Joo Oh, Kyoung-Jae Kim
2001 — conf
An Intelligent Clustering Forecasting System based on Change-Point Detection and Artificial Neural Networks: Application to Financial Economics.
HICSS
Kyong Joo Oh, Ingoo Han