| An application of support vector machines in bankruptcy prediction model KS Shin, TS Lee, H Kim Expert systems with applications 28 (1), 127-135, 2005 | 1154 | 2005 |
| A genetic algorithm application in bankruptcy prediction modeling KS Shin, YJ Lee Expert systems with applications 23 (3), 321-328, 2002 | 578 | 2002 |
| A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets H Kim, K Shin Applied Soft Computing 7 (2), 569-576, 2007 | 305 | 2007 |
| Genetic algorithm-optimized long short-term memory network for stock market prediction H Chung, K Shin Sustainability 10 (10), 3765, 2018 | 299 | 2018 |
| Case-based reasoning supported by genetic algorithms for corporate bond rating K Shin, I Han Expert Systems with applications 16 (2), 85-95, 1999 | 287 | 1999 |
| A case-based approach using inductive indexing for corporate bond rating K Shin, I Han Decision Support Systems 32 (1), 41-52, 2001 | 209 | 2001 |
| Hierarchical convolutional neural networks for fashion image classification Y Seo, K Shin Expert systems with applications 116, 328-339, 2019 | 202 | 2019 |
| Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction H Chung, K Shin Neural Computing and Applications 32 (12), 7897-7914, 2020 | 176 | 2020 |
| The influence of virtuality on social networks within and across work groups: A multilevel approach A Suh, K Shin, M Ahuja, MS Kim Journal of Management Information Systems 28 (1), 351-386, 2011 | 143 | 2011 |
| Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean M Song, H Park, K Shin Information Processing & Management 56 (3), 637-653, 2019 | 136 | 2019 |
| Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction HJ Kim, NO Jo, KS Shin Expert systems with applications 59, 226-234, 2016 | 112 | 2016 |
| Exploring the effects of online social ties on knowledge sharing: A comparative analysis of collocated vs dispersed teams A Suh, KS Shin Journal of Information Science 36 (4), 443-463, 2010 | 90 | 2010 |
| Image classification of fine-grained fashion image based on style using pre-trained convolutional neural network Y Seo, K Shin 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 387-390, 2018 | 52 | 2018 |
| Text mining-based emerging trend analysis for the aviation industry H Kim, N Jo, K Shin Journal of intelligence and information systems 21 (1), 65-82, 2015 | 48 | 2015 |
| An application of support vector machines for customer churn analysis: Credit card case S Kim, K Shin, K Park International Conference on Natural Computation, 636-647, 2005 | 43 | 2005 |
| Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories H Park, M Song, KS Shin Knowledge-Based Systems 187, 104825, 2020 | 40 | 2020 |
| The factors affecting success of knowledge-based systems at the organizational level GW Bock, A Suh, KS Shin, A Hu Journal of Computer Information Systems 50 (2), 95-105, 2009 | 33 | 2009 |
| Sentiment analysis of korean reviews using cnn: Focusing on morpheme embedding H Park, M Song, K Shin Journal of intelligence and information systems 24 (2), 59-83, 2018 | 32 | 2018 |
| The hybrid systems for credit rating HI Goo, HK Jo, KS Shin Journal of the Korean Operations Research and Management Science Society 22 …, 1997 | 31 | 1997 |
| Forecasting economic indicators using a consumer sentiment index: Survey‐based versus text‐based data M Song, K Shin Journal of forecasting 38 (6), 504-518, 2019 | 26 | 2019 |
