| Prediction of shale-gas production at duvernay formation using deep-learning algorithm K Lee, J Lim, D Yoon, H Jung SPE Journal 24 (06), 2423-2437, 2019 | 142 | 2019 |
| Towards better explanations of class activation mapping H Jung, Y Oh Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 64 | 2021 |
| Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer S Joo, ES Ko, S Kwon, E Jeon, H Jung, JY Kim, MJ Chung, YH Im Scientific reports 11 (1), 18800, 2021 | 52 | 2021 |
| Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization H Jung, H Jo, S Kim, K Lee, J Choe Journal of Petroleum Science and Engineering 167, 396-405, 2018 | 37 | 2018 |
| Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT H Jung, H Jo, S Kim, K Lee, J Choe Journal of Petroleum Science and Engineering 154, 19-37, 2017 | 37 | 2017 |
| History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information H Jo, H Jung, J Ahn, K Lee, J Choe Energy Exploration & Exploitation 35 (1), 3-23, 2017 | 27 | 2017 |
| Machine learning assisted history matching for a deepwater lobe system H Jo, W Pan, JE Santos, H Jung, MJ Pyrcz Journal of Petroleum Science and Engineering 207, 109086, 2021 | 24 | 2021 |
| Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis B Kang, H Jung, H Jeong, J Choe Petroleum Science 17 (1), 182-195, 2020 | 23 | 2020 |
| Initial ensemble design scheme for effective characterization of three-dimensional channel gas reservoirs with an aquifer S Kim, H Jung, K Lee, J Choe Journal of Energy Resources Technology 139 (2), 022911, 2017 | 22 | 2017 |
| Efficient assessment of reservoir uncertainty using distance-based clustering: a review B Kang, S Kim, H Jung, J Choe, K Lee Energies 12 (10), 1859, 2019 | 20 | 2019 |
| Characterization of various channel fields using an initial ensemble selection scheme and covariance localization H Jung, H Jo, K Lee, J Choe Journal of Energy Resources Technology 139 (6), 062906, 2017 | 13 | 2017 |
| EVET: enhancing visual explanations of deep neural networks using image transformations Y Oh, H Jung, J Park, MS Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 11 | 2021 |
| Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer JY Kim, E Jeon, S Kwon, H Jung, S Joo, Y Park, SK Lee, JE Lee, SJ Nam, ... Breast cancer research and treatment 189, 747-757, 2021 | 8 | 2021 |
| The Stability Assessment of an Aquifer in Pohang Yeongil Bay due to CO2 Injection NH Kim, HS Jung, GD Kim, H Jeong, H Shin, YK Kwon, J Choe The Journal of Engineering Geology 28 (2), 183-192, 2018 | 8 | 2018 |
| Iterative learning-based many-objective history matching using deep neural network with stacked autoencoder J Kim, C Park, S Ahn, B Kang, H Jung, I Jang Petroleum Science 18 (5), 1465-1482, 2021 | 6 | 2021 |
| Towards better explanations of class activation mapping. 2021 IEEE H Jung, Y Oh CVF International Conference on Computer Vision (ICCV), 1316-1324, 2021 | 5 | 2021 |
| Use of channel information update and discrete cosine transform in ensemble smoother for channel reservoir characterization H Jung, H Jo, S Kim, B Kang, H Jeong, J Choe Journal of Energy Resources Technology 142 (1), 012901, 2020 | 5 | 2020 |
| Enhanced History Matching of Gas Reservoirs With an Aquifer Using the Combination of Discrete Cosine Transform and Level Set Method in ES-MDA S Kim, H Jung, J Choe Journal of Energy Resources Technology 141 (7), 072906, 2019 | 5 | 2019 |
| Closed-loop field development optimization with well type conversion J Kim, B Kang, H Jung, J Choe 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 4 | 2018 |
| ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection J Jeong, G Park, J Yoo, H Jung, H Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2462-2470, 2024 | 2 | 2024 |
