Junghoon Chae

发表

Dynamic Color Mapping with a Multi-Scale Histogram: A Design Study with Physical Scientists

John R. Goodall, Chad A. Steed, Steven Hahn, 2019, Visualization and Data Analysis.

Improving Scientific Data Analysis Through Multi-touch Enabled Interactive Data Visualization with Applications to Neutron Science

C. Steed, J. Goodall, Steven E. Hahn, 2017 .

CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences

John R. Goodall, Chad A. Steed, Artem Trofimov, 2020, Graphics and Visual Computing.

Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition

David S. Ebert, Thomas Ertl, Ross Maciejewski, 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).

Visualization for Classification in Deep Neural Networks

G. Tourassi, C. Steed, Junghoon Chae, 2017 .

Comparison of Known Food Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion Size

E. Delp, D. Kerr, D. Ebert, 2012, Journal of diabetes science and technology.

Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events

David S. Ebert, Thomas Ertl, Yun Jang, 2013, EuroVA@EuroVis.

2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014, Paris, France, October 25-31, 2014

Maguelonne Teisseire, Hujun Bao, Fei Wang, 2014, IEEE Conference on Visual Analytics Science and Technology.

Big Data Visualizations in Organizational Science

David S. Ebert, Jieqiong Zhao, Vincent Ng, 2018 .

A Survey on Visual Analysis Approaches for Financial Data

David S. Ebert, William Ribarsky, Yun Jang, 2016, Comput. Graph. Forum.

Volume estimation using food specific shape templates in mobile image-based dietary assessment

David S. Ebert, Edward J. Delp, Ross Maciejewski, 2011, Electronic Imaging.

ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1

David S. Ebert, Jieqiong Zhao, Sungahn Ko, 2015, 2015 IEEE Conference on Visual Analytics Science and Technology (VAST).

Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge

David S. Ebert, Jieqiong Zhao, Sungahn Ko, 2015, 2015 IEEE Conference on Visual Analytics Science and Technology (VAST).

Visual Analytics of User Influence and Location-Based Social Networks

David S. Ebert, Thomas Ertl, Yun Jang, 2015 .

Visual analytics for investigative analysis of hoax distress calls using social media

David S. Ebert, Sungahn Ko, Abish Malik, 2016, 2016 IEEE Symposium on Technologies for Homeland Security (HST).

Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration

Min Chen, David S. Ebert, Yun Jang, 2014, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).

Visualization System for Evolutionary Neural Networks for Deep Learning

Catherine D. Schuman, Steven R. Young, Thomas E. Potok, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Public behavior response analysis in disaster events utilizing visual analytics of microblog data

David S. Ebert, Thomas Ertl, SungYe Kim, 2014, Comput. Graph..

A modeling framework for designing and evaluating curbside traffic management policies at Dallas-Fort Worth International Airport

Junghoon Chae, Yanbo Ge, Caleb Phillips, 2021, Transportation Research Part A: Policy and Practice.

A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation

David S. Ebert, Sungahn Ko, Jiawei Zhang, 2016, Comput. Graph. Forum.

Visual analytics of location-based social networks for decision support

Junghoon Chae, Junghoon Chae, 2016 .

Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations

Arvind Ramanathan, Chad A. Steed, Heng Ma, 2019, bioRxiv.

Exascale Deep Learning to Accelerate Cancer Research

Catherine D. Schuman, Steven R. Young, Derek C. Rose, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis

Thomas E. Potok, Ramakrishnan Kannan, Junghoon Chae, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Fine-Grained Exploitation of Mixed Precision for Faster CNN Training

Catherine D. Schuman, Steven R. Young, Thomas E. Potok, 2019, 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC).

SMART : Social Media Analytics and Reporting Toolkit

David S. Ebert, Junghoon Chae, Chittayong Surakitbanharn, 2017 .

Visualization for Classiﬁcation in Deep Neural Networks

G. Tourassi, C. Steed, Junghoon Chae, 2017 .