| Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting JJ Ahn, HW Byun, KJ Oh, TY Kim Expert Systems with Applications 39 (9), 8369-8379, 2012 | 120 | 2012 |
| Is deep learning for image recognition applicable to stock market prediction? HS Sim, HI Kim, JJ Ahn Complexity 2019, 2019 | 104 | 2019 |
| Usefulness of support vector machine to develop an early warning system for financial crisis JJ Ahn, KJ Oh, TY Kim, DH Kim Expert Systems with Applications 38 (4), 2966-2973, 2011 | 74 | 2011 |
| Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques H Ahn, JJ Ahn, KJ Oh, DH Kim Expert Systems with Applications 38 (5), 5005-5012, 2011 | 73 | 2011 |
| Decision tree-based data mining and rule induction for identifying hydrogeological parameters that influence groundwater pollution sensitivity K Yoo, SK Shukla, JJ Ahn, K Oh, J Park Journal of Cleaner Production 122, 277-286, 2016 | 57 | 2016 |
| Using rough set to support investment strategies of real-time trading in futures market SJ Lee, JJ Ahn, KJ Oh, TY Kim Applied Intelligence 32, 364-377, 2010 | 49 | 2010 |
| Using GA-Ridge regression to select hydro-geological parameters influencing groundwater pollution vulnerability JJ Ahn, YM Kim, K Yoo, J Park, KJ Oh Environmental monitoring and assessment 184, 6637-6645, 2012 | 29 | 2012 |
| Using deep learning to develop a stock price prediction model based on individual investor emotions J Chun, J Ahn, Y Kim, S Lee Journal of Behavioral Finance 22 (4), 480-489, 2021 | 28 | 2021 |
| A study on KOSPI 200 direction forecasting using XGBoost model† DW Hah, YM Kim, JJ Ahn The Korean Data & Information Science Society 30 (3), 655-669, 2019 | 24 | 2019 |
| Intelligent forecasting for financial time series subject to structural changes JJ Ahn, SJ Lee, KJ Oh, TY Kim Intelligent Data Analysis 13 (1), 151-163, 2009 | 23 | 2009 |
| Applying option Greeks to directional forecasting of implied volatility in the options market: An intelligent approach JJ Ahn, DH Kim, KJ Oh, TY Kim Expert Systems with Applications 39 (10), 9315-9322, 2012 | 21 | 2012 |
| An intelligent product recommendation model to reflect the recent purchasing patterns of customers H Kim, G Yang, H Jung, SH Lee, JJ Ahn Mobile Networks and Applications 24, 163-170, 2019 | 14 | 2019 |
| Multi-currencies portfolio strategy using principal component analysis and logistic regression KS Shim, JJ Ahn, KJ Oh Journal of the Korean Data and Information Science Society 23 (1), 151-159, 2012 | 13 | 2012 |
| Using hybrid data mining techniques for facilitating cross-selling of a mobile telecom market to develop customer classification model H Ahn, CW Song, JJ Ahn, HY Lee, TY Kim, KJ Oh 2010 43rd Hawaii International Conference on System Sciences, 1-10, 2010 | 10 | 2010 |
| A new methodology for carbon price forecasting in EU ETS SK Han, JJ Ahn, KJ Oh, TY Kim Expert Systems 32 (2), 228-243, 2015 | 9 | 2015 |
| Epidemiology of idiopathic sudden sensorineural hearing loss in the era of big data JJA Chul Young Yoon, Tae Hoon Kong, Juhyung Lee, Young Joon Seo EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY 280 (5), 2181-2190, 2023 | 8 | 2023 |
| Development of de-noised image reconstruction technique using Convolutional AutoEncoder for fast monitoring of fuel assemblies SH Choi, HJ Choi, CH Min, YH Chung, JJ Ahn Nuclear Engineering and Technology 53 (3), 888-893, 2021 | 7 | 2021 |
| A study on initial price change prediction of IPO shares using non-financial information S Shin, HJ Lee, JJ Ahn The Korean Data & Information Science Society 29 (2), 425-439, 2018 | 6 | 2018 |
| Bayesian forecaster using class-based optimization JJ Ahn, HW Byun, KJ Oh, TY Kim Applied Intelligence 36, 553-563, 2012 | 6 | 2012 |
| Lag‐ℓ forecasting and machine‐learning algorithms JJ Ahn, IS Son, KJ Oh, TY Kim, GM Song Expert Systems 28 (3), 269-282, 2011 | 5 | 2011 |
