| Variable selection and task grouping for multi-task learning JY Jeong, CH Jun KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on …, 2018 | 26 | 2018 |
| Markov blanket-based universal feature selection for classification and regression of mixed-type data J Lee, JY Jeong, CH Jun Expert Systems with Applications 158, 113398, 2020 | 16 | 2020 |
| Regularization-based model tree for multi-output regression JY Jeong, JS Kang, CH Jun Information Sciences 507, 240-255, 2020 | 15 | 2020 |
| A mixed control chart for monitoring failure times under accelerated hybrid censoring M Aslam, MA Raza, RAK Sherwani, M Farooq, JY Jeong, CH Jun Journal of Applied Statistics 48 (1), 138-153, 2021 | 8 | 2021 |
| Sparse tensor decomposition for multi-task interaction selection JY Jeong, CH Jun 2019 IEEE International Conference on Big Knowledge (ICBK), 105-114, 2019 | 3 | 2019 |
| Effect of dimension reduction on prediction performance of multivariate nonlinear time series JY Jeong, JS Kim, CH Jun Industrial Engineering & Management Systems 14 (3), 312-317, 2015 | 1 | 2015 |
| Regularization based Multi-Output Regression Model Tree JY Jeong, CH Jun 대한산업공학회 춘계공동학술대회 논문집, 4901-4905, 2017 | | 2017 |
| Convolved Gaussian process for multi-step ahead time series forecasting JY Jeong, CH Jun 대한산업공학회 춘계공동학술대회 논문집, 3197-3202, 2016 | | 2016 |
| Effect of dimension reduction on predictability of multivariate chaotic time series JY Jeong, JS Kim, CH Jun 대한산업공학회 춘계공동학술대회 논문집, 505-512, 2015 | | 2015 |
| An ensemble strategy for multi-step-ahead time series forecasting JY Jeong, CH Jun | | |
