Bum Chul Kwon | DeepAI

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∙ 05/26/2023

Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles

As online news increasingly include data journalism, there is a correspo...

0 Hwiyeon Kim, et al. ∙

∙ 05/26/2023

Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models

Pre-trained transformer-based language models are becoming increasingly ...

0 Bum Chul Kwon, et al. ∙

∙ 04/04/2023

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models

Large Language Models (LLMs) have gained widespread popularity due to th...

0 Aditi Mishra, et al. ∙

∙ 03/01/2023

Causalvis: Visualizations for Causal Inference

Causal inference is a statistical paradigm for quantifying causal effect...

0 Grace Guo, et al. ∙

∙ 09/14/2022

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

Disease risk models can identify high-risk patients and help clinicians ...

0 Bum Chul Kwon, et al. ∙

∙ 09/14/2022

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

Image classification models often learn to predict a class based on irre...

0 Bum Chul Kwon, et al. ∙

∙ 04/20/2022

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

Coordinated Multiple views (CMVs) are a visualization technique that sim...

0 Juyoung Oh, et al. ∙

∙ 04/04/2022

ConceptExplainer: Understanding the Mental Model of Deep Learning Algorithms via Interactive Concept-based Explanations

Traditional deep learning interpretability methods which are suitable fo...

0 Jinbin Huang, et al. ∙

∙ 12/09/2020

Modeling Disease Progression Trajectories from Longitudinal Observational Data

Analyzing disease progression patterns can provide useful insights into ...

0 Bum Chul Kwon, et al. ∙

∙ 07/24/2020

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

A goal of clinical researchers is to understand the progression of a dis...

0 Bum Chul Kwon, et al. ∙

∙ 01/16/2020

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

Users may face challenges while designing graphical user interfaces, due...

0 Chunggi Lee, et al. ∙

∙ 11/03/2019

Geono-Cluster: Interactive Visual Cluster Analysis for Biologists

Biologists often perform clustering analysis to derive meaningful patter...

0 Bahador Saket, et al. ∙

∙ 09/13/2019

SANVis: Visual Analytics for Understanding Self-Attention Networks

Attention networks, a deep neural network architecture inspired by human...

0 Cheonbok Park, et al. ∙

∙ 08/19/2019

Thumbnails for Data Stories: A Survey of Current Practices

When people browse online news, small thumbnail images accompanying link...

0 Hwiyeon Kim, et al. ∙

∙ 04/26/2019

DPVis: Visual Exploration of Disease Progression Pathways

Clinical researchers use disease progression modeling algorithms to pred...

0 Bum Chul Kwon, et al. ∙

∙ 05/28/2018

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

In the past decade, we have seen many successful applications of recurre...

0 Bum Chul Kwon, et al. ∙

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