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20152022
most citedDASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation

8 citations · 18 across the 8 of their papers we have counts for

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cs.HC2022

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups

Bum Chul Kwon, Uri Kartoun, Shaan Khurshid +7

Disease risk models can identify high-risk patients and help clinicians provide more personalized care. However, risk models developed on one dataset may not generalize across dive…

cs.HC20228 cited

DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation

Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung +3

Image classification models often learn to predict a class based on irrelevant co-occurrences between input features and an output class in training data. We call the unwanted corr…

cs.HC2022

An Empirical Study on the Relationship Between the Number of Coordinated Views and Visual Analysis

Juyoung Oh, Chunggi Lee, Hwiyeon Kim +5

Coordinated Multiple views (CMVs) are a visualization technique that simultaneously presents multiple visualizations in separate but linked views. There are many studies that repor…

cs.HC2020

User-driven Analysis of Longitudinal Health Data with Hidden Markov Models for Clinical Insights

Bum Chul Kwon

A goal of clinical researchers is to understand the progression of a disease through a set of biomarkers. Researchers often conduct observational studies, where they collect numero…

cs.HC20201 cited

GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback

Chunggi Lee, Sanghoon Kim, Dongyun Han +4

Users may face challenges while designing graphical user interfaces, due to a lack of relevant experience and guidance. This paper aims to investigate the issues that users with no…

cs.HC20192 cited

Geono-Cluster: Interactive Visual Cluster Analysis for Biologists

Bahador Saket, Subhajit Das, Bum Chul Kwon +1

Biologists often perform clustering analysis to derive meaningful patterns, relationships, and structures from data instances and attributes. Though clustering plays a pivotal role…