activity
20152020
most citedGeono-Cluster: Interactive Visual Cluster Analysis for Biologists

2 citations · 3 across the 4 of their papers we have counts for

collaborators

7 papers

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…

cs.CL2019

SANVis: Visual Analytics for Understanding Self-Attention Networks

Cheonbok Park, Inyoup Na, Yongjang Jo +7

Attention networks, a deep neural network architecture inspired by humans' attention mechanism, have seen significant success in image captioning, machine translation, and many oth…

cs.HC2019

Thumbnails for Data Stories: A Survey of Current Practices

Hwiyeon Kim, Juyoung Oh, Yunha Han +3

When people browse online news, small thumbnail images accompanying links to articles attract their attention and help them to decide which articles to read. As an increasing propo…

cs.LG2019

DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways

Bum Chul Kwon, Vibha Anand, Kristen A Severson +5

Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease pr…