Visual predictive modeling of incomplete time series panel data. - Hanbyul Yeon; Mingyu Pi; Hyesook Son; Yun Jang (VINCI, 2019)

Visual Imputation Analytics for Missing Time-Series Data in Bayesian Network. - Hanbyul Yeon; Hyesook Son; Yun Jang (BigComp, 2020)

Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data. - Hyesook Son; Yun Jang (IEEE Access, 2020)

Deep Learning-Based Anomaly Detection to Classify Inaccurate Data and Damaged Condition of a Cable-Stayed Bridge. - Hyesook Son; Yun Jang; Seung-Eock Kim; Dongjoo Kim; Jong-Woong Park (IEEE Access, 2021)

Visual performance improvement analytics of predictive model for unbalanced panel data. - Hanbyul Yeon; Hyesook Son; Yun Jang (J. Vis., 2021)

Damage Localization and Severity Assessment of a Cable-Stayed Bridge Using a Message Passing Neural Network. - Hyesook Son; Van-Thanh Pham; Yun Jang; Seung-Eock Kim (Sensors, 2021)

Visual Cause Analytics for Traffic Congestion. - Mingyu Pi; Hanbyul Yeon; Hyesook Son; Yun Jang (IEEE Trans. Vis. Comput. Graph., 2021)

Visual analysis for panel data imputation with Bayesian network. - Hanbyul Yeon; Seongbum Seo; Hyesook Son; Yun Jang (J. Supercomput., 2022)