| Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options H Park, N Kim, J Lee Expert Systems with Applications 41 (11), 5227-5237, 2014 | 99 | 2014 |
| Analysis of worldwide research trends on the impact of artificial intelligence in education S Paek, N Kim Sustainability 13 (14), 7941, 2021 | 77 | 2021 |
| Uniformly subsampled ensemble (USE) for churn management: Theory and implementation N Kim, KH Jung, YS Kim, J Lee Expert Systems with Applications 39 (15), 11839-11845, 2012 | 38 | 2012 |
| Development of simple and sensitive hydrogel based colorimetric sensor array for the real-time quantification of gaseous ammonia ST Krishnan, KH Son, N Kim, B Viswanath, S Kim, JH An Materials Science and Engineering: C 72, 583-589, 2017 | 35 | 2017 |
| Dynamic pattern denoising method using multi-basin system with kernels KH Jung, N Kim, J Lee Pattern Recognition 44 (8), 1698-1707, 2011 | 24 | 2011 |
| Big data framework for analyzing patents to support strategic R&D planning W Seo, N Kim, S Choi 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th …, 2016 | 21 | 2016 |
| No-arbitrage implied volatility functions: Empirical evidence from KOSPI 200 index options N Kim, J Lee Journal of Empirical Finance 21, 36-53, 2013 | 19 | 2013 |
| Estimation and prediction under local volatility jump–diffusion model N Kim, Y Lee Physica A: Statistical Mechanics and its Applications 491, 729-740, 2018 | 12 | 2018 |
| Prediction of credit delinquents using locally transductive multi-layer perceptron H Heo, H Park, N Kim, J Lee Neurocomputing 73 (1-3), 169-175, 2009 | 12 | 2009 |
| Exploring latent topics and international research trends in competency-based education using topic modeling S Paek, T Um, N Kim Education Sciences 11 (6), 303, 2021 | 11 | 2021 |
| 학습 지원 도구로서의 서술형 평가 그리고 인공지능의 활용: WA 3 I 프로젝트 사례 하민수， 이경건， 신세인， 이준기， 최성철， 주재걸， 김남형， 이현주， ... 현장과학교육 13 (3), 271-282, 2019 | 6 | 2019 |
| A new ensemble model for efficient churn prediction in mobile telecommunication N Kim, J Lee, KH Jung, YS Kim 2012 45th Hawaii International Conference on System Sciences, 1023-1029, 2012 | 6 | 2012 |
| Model averaging methods for estimating implied and local volatility surfaces NH Kim, JW Lee, GS Han Industrial Engineering and Management Systems 8 (2), 93-100, 2009 | 6 | 2009 |
| Spelling Errors in Korean Students’ Constructed Responses and the Efficacy of Automatic Spelling Correction on Automated Computer Scoring H Lee, M Ha, J Lee, RQ Aini, AN Rusmana, Y Sya’bandari, JK Lee, S Shin, ... Technology, Knowledge and Learning, 1-21, 2023 | 2 | 2023 |
| Adjusted Impact Factor by using F min Search Algorithm W Lee, J Hah, N Kim Industrial Engineering & Management Systems 17 (1), 113-119, 2018 | 2 | 2018 |
| Self-correcting ensemble using a latent consensus model N Kim, Y Son, Y Lee, J Lee Applied Soft Computing 47, 262-270, 2016 | 2 | 2016 |
| Portfolio optimization with groupwise selection N Kim, S Sra Industrial Engineering and Management Systems 13 (4), 442-448, 2014 | 2 | 2014 |
| Barrier option pricing with model averaging methods under local volatility models NH Kim, KH Jung, JW Lee, GS Han Industrial Engineering and Management Systems 10 (1), 84-94, 2011 | 2 | 2011 |
| A multivariate garch analysis on international stock market integration: Korean market case N Kim Management Science and Financial Engineering 21 (1), 31-39, 2015 | 1 | 2015 |
| Exploring Predictive Factors of Academic Probation Using Data Mining Approach H Lee, N Kim Industrial Engineering & Management Systems 20 (1), 69-81, 2021 | | 2021 |
