Youngtaek Kim
Related Projects
Distortion-Aware Brushing
Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
Steadiness & Cohesiveness
Quality Metrics for Evaluating the Inter-cluster Reliability of Multidimensional Projections
Githru
Visual Analytics for Understanding Software Development History Through Git Metadata Analysis
Related Publications
TVCG | Journal Article
Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional ProjectionsHyeon Jeon, Michaël Aupetit, Soohyun Lee, Hyung-Kwon Ko, Youngtaek Kim, Ghulam Jilani Quadri, and Jinwook Seo
IEEE Transactions on Visualization and Computer Graphics (2025).
JCSE | Journal Article
Pharos: A Transparent and Steerable Visualization Recommendation System Journal of Computing Science and Engineering 17, 1 (2023), 1-12.
PacificVis '22 | Conference Short Paper
VANT: A Visual Analytics System for Refining Parallel Corpora in Neural Machine Translation In 2022 IEEE 15th Pacific Visualization Symposium, (Tsukuba, Japan) (PacificVis '22). 181-185.
VIS '21 | Conference Full Paper
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections IEEE Transactions on Visualization and Computer Graphics 28, 1, 551-561, presented at 2021 IEEE Visualization Conference.
PacificVis '21 | Conference Short Paper
Visualization Support for Multi-criteria Decision Making in Software Issue Propagation In 2021 IEEE 14th Pacific Visualization Symposium, (Tianjin, China) (PacificVis '21). 81-85.
PacificVis '21 | Scientific Poster
Interactive Visualization for Exploring Information Fragments in Software Repositories
In 2021 IEEE 14th Pacific Visualization Symposium, (Tianjin, China) (PacificVis '21).
PacificVis '21 | Conference Short Paper
A Mixed-Initiative Approach to Extract Data from Pictures of Medical Invoice In 2021 IEEE 14th Pacific Visualization Symposium, (Tianjin, China) (PacificVis '21). 111-115.
VIS '20 | Conference Full Paper
Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis IEEE Transactions on Visualization and Computer Graphics 27, 2, 656-666, presented at 2020 IEEE Visualization Conference.