| Combination of short-term load forecasting models based on a stacking ensemble approach J Moon, S Jung, J Rew, S Rho, E Hwang Energy and Buildings 216, 109921, 2020 | 124 | 2020 |
| Monthly electric load forecasting using transfer learning for smart cities SM Jung, S Park, SW Jung, E Hwang Sustainability 12 (16), 6364, 2020 | 63 | 2020 |
| Conditional tabular GAN-based two-stage data generation scheme for short-term load forecasting J Moon, S Jung, S Park, E Hwang IEEE Access 8, 205327-205339, 2020 | 62 | 2020 |
| Bagging ensemble of multilayer perceptrons for missing electricity consumption data imputation S Jung, J Moon, S Park, S Rho, SW Baik, E Hwang Sensors 20 (6), 1772, 2020 | 52 | 2020 |
| Sliding window-based LightGBM model for electric load forecasting using anomaly repair S Park, S Jung, S Jung, S Rho, E Hwang The Journal of Supercomputing 77, 12857-12878, 2021 | 42 | 2021 |
| A two-stage industrial load forecasting scheme for day-ahead combined cooling, heating and power scheduling S Park, J Moon, S Jung, S Rho, SW Baik, E Hwang Energies 13 (2), 443, 2020 | 38 | 2020 |
| A short-term load forecasting scheme based on auto-encoder and random forest M Son, J Moon, S Jung, E Hwang Applied Physics, System Science and Computers III: Proceedings of the 3rd …, 2019 | 32 | 2019 |
| Animal movement prediction based on predictive recurrent neural network J Rew, S Park, Y Cho, S Jung, E Hwang Sensors 19 (20), 4411, 2019 | 26 | 2019 |
| A hybrid multi-objective optimizer-based SVM model for enhancing numerical weather prediction: A study for the Seoul metropolitan area MA Deif, AAA Solyman, MH Alsharif, S Jung, E Hwang Sustainability 14 (1), 296, 2021 | 23 | 2021 |
| Simplified Fréchet distance for generative adversarial nets CI Kim, M Kim, S Jung, E Hwang Sensors 20 (6), 1548, 2020 | 22 | 2020 |
| Real-time car tracking system based on surveillance videos S Jung, Y Kim, E Hwang EURASIP Journal on Image and Video Processing 2018 (1), 133, 2018 | 17 | 2018 |
| Self-attention-based deep learning network for regional influenza forecasting S Jung, J Moon, S Park, E Hwang IEEE Journal of Biomedical and Health Informatics 26 (2), 922-933, 2021 | 16 | 2021 |
| Video-based learning assistant scheme for sustainable education S Jung, M Son, C Kim, J Rew, E Hwang New Review of Hypermedia and Multimedia 25 (3), 161-181, 2019 | 15 | 2019 |
| BCGAN: A CGAN-based over-sampling model using the boundary class for data balancing M Son, S Jung, S Jung, E Hwang The Journal of Supercomputing 77 (9), 10463-10487, 2021 | 14 | 2021 |
| BCGAN-based over-sampling scheme for imbalanced data M Son, S Jung, J Moon, E Hwang 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | 12 | 2020 |
| IoT-based personalized NIE content recommendation system Y Kim, S Jung, S Ji, E Hwang, S Rho Multimedia Tools and Applications 78, 3009-3043, 2019 | 12 | 2019 |
| Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting. J Moon, S Jung, S Park, E Hwang Computers, Materials & Continua 68 (3), 2021 | 10 | 2021 |
| Animal sounds classification scheme based on multi-feature network with mixed datasets CI Kim, Y Cho, S Jung, J Rew, E Hwang KSII Transactions on Internet and Information Systems (TIIS) 14 (8), 3384-3398, 2020 | 10 | 2020 |
| A deep learning based over-sampling scheme for imbalanced data classification SM Jae, JS Won, HE Jun 정보처리학호는문지/소프트웨어 및 데이터 공학 제 8 (7), 7, 2019 | 10 | 2019 |
| Cluster-based analysis of infectious disease occurrences using tensor decomposition: a case study of South Korea S Jung, J Moon, E Hwang International journal of environmental research and public health 13 (21), 5634, 2020 | 5 | 2020 |
