| An architecture for emergency event prediction using LSTM recurrent neural networks B Cortez, B Carrera, YJ Kim, JY Jung Expert Systems with Applications 97, 315-324, 2018 | 191 | 2018 |
| LiReD: A light-weight real-time fault detection system for edge computing using LSTM recurrent neural networks D Park, S Kim, Y An, JY Jung Sensors 18 (7), 2110, 2018 | 165 | 2018 |
| A two-step approach to solar power generation prediction based on weather data using machine learning SG Kim, JY Jung, MK Sim Sustainability 11 (5), 1501, 2019 | 131 | 2019 |
| An entropy-based uncertainty measure of process models JY Jung, CH Chin, J Cardoso Information Processing Letters 111 (3), 135-141, 2011 | 105 | 2011 |
| i-RM: An intelligent risk management framework for context-aware ubiquitous cold chain logistics K Kim, H Kim, SK Kim, JY Jung Expert Systems with Applications 46, 463-473, 2016 | 101 | 2016 |
| Imbalanced classification of manufacturing quality conditions using cost-sensitive decision tree ensembles A Kim, K Oh, JY Jung, B Kim International Journal of Computer Integrated Manufacturing 31 (8), 701-717, 2018 | 77 | 2018 |
| Hierarchical clustering of business process models JY Jung, J Bae, L Liu International Journal of Innovative Computing, Information and Control 5 (12 …, 2009 | 77 | 2009 |
| Business process choreography for B2B collaboration J Jung, W Hur, SH Kang, H Kim IEEE Internet Computing 8 (1), 37-45, 2004 | 69 | 2004 |
| Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy J Obregon, YR Han, CW Ho, D Mouraliraman, CW Lee, JY Jung Journal of Energy Storage 60, 106680, 2023 | 65 | 2023 |
| Language independent semantic kernels for short-text classification K Kim, B Chung, Y Choi, S Lee, JY Jung, J Park Expert Systems with Applications 41 (2), 735-743, 2014 | 64 | 2014 |
| An ECA-based framework for decentralized coordination of ubiquitous web services JY Jung, J Park, SK Han, K Lee Information and Software Technology 49 (11-12), 1141-1161, 2007 | 64 | 2007 |
| Workflow clustering method based on process similarity JY Jung, J Bae International Conference on Computational Science and Its Applications, 379-389, 2006 | 60 | 2006 |
| Event-driven service coordination for business process integration in ubiquitous enterprises J Kong, JY Jung, J Park Computers & Industrial Engineering 57 (1), 14-26, 2009 | 59 | 2009 |
| Standards-based approaches to B2B workflow integration JY Jung, H Kim, SH Kang Computers & Industrial Engineering 51 (2), 321-334, 2006 | 58 | 2006 |
| Data-driven simulation for general-purpose multibody dynamics using Deep Neural Networks HS Choi, J An, S Han, JG Kim, JY Jung, J Choi, G Orzechowski, A Mikkola, ... Multibody System Dynamics 51, 419-454, 2021 | 57 | 2021 |
| SAX-ARM: Deviant event pattern discovery from multivariate time series using symbolic aggregate approximation and association rule mining H Park, JY Jung Expert Systems with Applications 141, 112950, 2020 | 57 | 2020 |
| An analysis on movement patterns between zones using smart card data in subway networks K Kim, K Oh, YK Lee, SH Kim, JY Jung International Journal of Geographical Information Science 28 (9), 1781-1801, 2014 | 45 | 2014 |
| RuleCOSI: Combination and simplification of production rules from boosted decision trees for imbalanced classification J Obregon, A Kim, JY Jung Expert Systems with Applications 126, 64-82, 2019 | 39 | 2019 |
| Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process J Obregon, J Hong, JY Jung Journal of Manufacturing Systems 60, 392-405, 2021 | 38 | 2021 |
| Constructing decision trees from process logs for performer recommendation A Kim, J Obregon, JY Jung Business Process Management Workshops: BPM 2013 International Workshops …, 2014 | 33 | 2014 |
kwanho kimseoul national universityVerified email at snu.ac.kr
