Junghoon Chae
Junghoon Chae
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Zitiert von
Zitiert von
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition
J Chae, D Thom, H Bosch, Y Jang, R Maciejewski, DS Ebert, T Ertl
2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 143-152, 2012
Public behavior response analysis in disaster events utilizing visual analytics of microblog data
J Chae, D Thom, Y Jang, SY Kim, T Ertl, DS Ebert
Computers & Graphics 38, 51-60, 2014
Volume estimation using food specific shape templates in mobile image-based dietary assessment
J Chae, I Woo, SY Kim, R Maciejewski, F Zhu, EJ Delp, CJ Boushey, ...
Computational Imaging IX 7873, 157-164, 2011
A Survey on Visual Analysis Approaches for Financial Data
S Ko, I Cho, S Afzal, C Yau, J Chae, A Malik, K Beck, Y Jang, W Ribarsky, ...
Computer Graphics Forum 35 (3), 599-617, 2016
Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size
CD Lee, J Chae, TRE Schap, DA Kerr, EJ Delp, DS Ebert, CJ Boushey
Journal of diabetes science and technology 6 (2), 428-434, 2012
Analyzing high-dimensional multivariate network links with integrated anomaly detection, highlighting and exploration
S Ko, S Afzal, S Walton, Y Yang, J Chae, A Malik, Y Jang, M Chen, ...
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 83-92, 2014
Big Data Visualizations in Organizational Science
L Tay, V Ng, A Malik, J Zhang, J Chae, DS Ebert, Y Ding, J Zhao, M Kern
Organizational Research Methods 21 (3), 660-688, 2018
A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation
J Zhang, B Ahlbrand, A Malik, J Chae, Z Min, S Ko, DS Ebert
Computer Graphics Forum 35 (3), 441-450, 2016
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media.
J Chae, Y Cui, Y Jang, G Wang, A Malik, DS Ebert
EuroVA@ EuroVis, 43-47, 2015
Transparency in social media
SA Matei, MG Russell, E Bertino
Springer, 2015
Exascale Deep Learning to Accelerate Cancer Research
RM Patton, JT Johnston, SR Young, CD Schuman, TE Potok, DC Rose, ...
2019 IEEE International Conference on Big Data (Big Data), 1488-1496, 2019
TangibleData: Interactive Data Visualization with Mid-Air Haptics
A Bhardwaj, J Chae, RH Noeske, JR Kim
Proceedings of the 27th ACM Symposium on Virtual Reality Software and …, 2021
CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences
CA Steed, JR Goodall, J Chae, A Trofimov
Graphics and Visual Computing 3, 200013, 2020
Visualization for classification in deep neural networks
J Chae, S Gao, A Ramanthan, C Steed, GD Tourassi
Workshop on Visual Analytics for Deep Learning, 2017
SMART: Social media analytics and reporting toolkit
J Zhang, J Chae, C Surakitbanharn, DS Ebert
The IEEE Workshop on Visualization in Practice, 2017
A modeling framework for designing and evaluating curbside traffic management policies at Dallas-Fort Worth International Airport
J Ugirumurera, J Severino, K Ficenec, Y Ge, Q Wang, L Williams, J Chae, ...
Transportation Research Part A: Policy and Practice 153, 130-150, 2021
Visual analytics of user influence and location-based social networks
J Zhang, J Chae, S Afzal, A Malik, D Thom, Y Jang, T Ertl, SA Matei, ...
Transparency in Social Media: Tools, Methods and Algorithms for Mediating …, 2015
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations
J Chae, D Bhowmik, H Ma, A Ramanathan, C Steed
2019 IEEE International Conference on Big Data (Big Data), 1759-1764, 2019
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training
JT Johnston, SR Young, CD Schuman, J Chae, DD March, RM Patton, ...
2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2019
Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge
J Chae, G Wang, B Ahlbrand, MB Gorantla, J Zhang, S Chen, H Xu, ...
2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 149-150, 2015
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