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2020 – today
- 2024
[c31]Yun Jang
:
Time Series Imputation with Multivariate Radial Basis Function Neural Network. ECAI 2024: 922-929- [i1]Chanyoung Jung, Yun Jang:
Time Series Imputation with Multivariate Radial Basis Function Neural Network. CoRR abs/2407.17040 (2024) - 2023
- [c30]Soobin Yim, Chanyong Yoon, Sangbong Yoo, Yun Jang:
A Mental Workload Estimation Model for Visualization Using EEG. HICSS 2023: 1216-1225 - [c29]Hyein Hong, Sangbong Yoo, Yejin Jin, Yun Jang:
How Can We Improve Data Quality for Machine Learning? A Visual Analytics System using Data and Process-driven Strategies. PacificVis 2023: 112-121 - 2022
- [j27]Hanbyul Yeon, Seongbum Seo, Hyesook Son, Yun Jang:
Visual analysis for panel data imputation with Bayesian network. J. Supercomput. 78(2): 1759-1782 (2022) - [c28]Hyein Hong, Sangbong Yoo, Yejin Jin, Chanyoung Yoon, Soobin Yim, Seokhwan Choi, Yun Jang:
Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies. IEEE Big Data 2022: 396-401 - [c27]Soobin Yim, Chanyoung Yoon, Sangbong Yoo, Yun Jang:
A Mental Workload Estimation for Visualization Evaluation Using EEG Data and NASA-TLX. EuroVis (Posters) 2022: 47-49 - 2021
- [j26]Seokyeon Kim, Yun Jang, Seung-Eock Kim:
Image-Based TF Colorization With CNN for Direct Volume Rendering. IEEE Access 9: 124281-124294 (2021) - [j25]Hyesook Son, Yun Jang, Seung-Eock Kim, Dongjoo Kim, Jong-Woong Park:
Deep Learning-Based Anomaly Detection to Classify Inaccurate Data and Damaged Condition of a Cable-Stayed Bridge. IEEE Access 9: 124549-124559 (2021) - [j24]Hanbyul Yeon, Hyesook Son, Yun Jang:
Visual performance improvement analytics of predictive model for unbalanced panel data. J. Vis. 24(3): 583-596 (2021) - [j23]Suleman Khan, Jongbin Won, Junsik Shin, Junyoung Park, Jong-Woong Park, Seung-Eock Kim, Yun Jang, Dong Joo Kim:
SSVM: An Ultra-Low-Power Strain Sensing and Visualization Module for Long-Term Structural Health Monitoring. Sensors 21(6): 2211 (2021) - [j22]Hyesook Son, Van-Thanh Pham, Yun Jang, Seung-Eock Kim:
Damage Localization and Severity Assessment of a Cable-Stayed Bridge Using a Message Passing Neural Network. Sensors 21(9): 3118 (2021) - [j21]Sangbong Yoo, Seongmin Jeong, Yun Jang:
Gaze Behavior Effect on Gaze Data Visualization at Different Abstraction Levels. Sensors 21(14): 4686 (2021) - [j20]Sangbong Yoo, Seongmin Jeong, Seokyeon Kim, Yun Jang:
Saliency-Based Gaze Visualization for Eye Movement Analysis. Sensors 21(15): 5178 (2021) - [j19]Huy Viet Le, Tae-Uk Kim, Suleman Khan, Junyoung Park, Jong-Woong Park, Seung-Eock Kim, Yun Jang, Dong Joo Kim:
Development of Low-Cost Wireless Sensing System for Smart Ultra-High Performance Concrete. Sensors 21(19): 6386 (2021) - [j18]Mingyu Pi, Hanbyul Yeon, Hyesook Son, Yun Jang:
Visual Cause Analytics for Traffic Congestion. IEEE Trans. Vis. Comput. Graph. 27(3): 2186-2201 (2021) - [c26]Yun Jang, Seokyeon Kim:
Multimodal Epidemic Visual Analytics and Modeling. HICSS 2021: 1-10 - 2020
- [j17]Hyesook Son, Yun Jang:
Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data. IEEE Access 8: 164762-164774 (2020) - [c25]Hanbyul Yeon, Hyesook Son, Yun Jang:
Visual Imputation Analytics for Missing Time-Series Data in Bayesian Network. BigComp 2020: 303-310
2010 – 2019
- 2019
- [j16]Sangbong Yoo, Dae Kyo Jeong, Yun Jang:
The Study of a Classification Technique for Numeric Gaze-Writing Entry in Hands-Free Interface. IEEE Access 7: 49125-49134 (2019) - [j15]Sangbong Yoo, Hong Ryeol Ryu, Hanbyul Yeon, Taekyoung Kwon, Yun Jang:
Visual analytics and visualization for android security risk. J. Comput. Lang. 53: 9-21 (2019) - [c24]Chaoping Zhu, Yongbin Yang, Yun Jang:
Research on Denoising of Finger Vein Image Based on Deep Convolutional Neural Network. ICCSE 2019: 374-378 - [c23]Sangbong Yoo, Seongmin Jeong, Seokyeon Kim, Yun Jang:
Gaze Attention and Flow Visualization using the Smudge Effect. PG (Short Papers) 2019: 21-26 - [c22]Hanbyul Yeon, Mingyu Pi, Hyesook Son, Yun Jang:
Visual predictive modeling of incomplete time series panel data. VINCI 2019: 3:1-3:8 - [c21]Dae Kyo Jeong, Sangbong Yoo, Yun Jang:
Cybersickness Analysis with EEG Using Deep Learning Algorithms. VR 2019: 827-835 - 2018
- [j14]Seokyeon Kim, Seongmin Jeong, Insoo Woo, Yun Jang, Ross Maciejewski, David S. Ebert:
Data Flow Analysis and Visualization for Spatiotemporal Statistical Data without Trajectory Information. IEEE Trans. Vis. Comput. Graph. 24(3): 1287-1300 (2018) - [c20]Sangbong Yoo, Sujin Jeong, Yun Jang:
Gaze Data Clustering and Analysis. IUI Companion 2018: 50:1-50:2 - [c19]Dae Kyo Jeong, Sangbong Yoo, Yun Jang:
VR sickness measurement with EEG using DNN algorithm. VRST 2018: 134:1-134:2 - 2017
- [j13]Hanbyul Yeon, Seokyeon Kim, Yun Jang:
Predictive visual analytics of event evolution for user-created context. J. Vis. 20(3): 471-486 (2017) - [c18]Daniel Weiskopf, Yingcai Wu, Tim Dwyer, Yun Jang, Naohisa Sakamoto:
Chair message. PacificVis 2017: vii-viii - [c17]Sangbong Yoo, Hong Ryeol Ryu, Hanbyul Yeon, Taekyoung Kwon, Yun Jang:
Personal visual analytics for android security risk lifelog. VINCI 2017: 29-36 - 2016
- [j12]Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert:
A Survey on Visual Analysis Approaches for Financial Data. Comput. Graph. Forum 35(3): 599-617 (2016) - 2015
- [c16]Seokyeon Kim, Seongmin Jeong, Sung Uk An, Jae-Seok Yoo, Sang Min Han, Hanbyul Yeon, Sangbong Yoo, Yun Jang:
Big Data Visual Analytics System for Disease Pattern Analysis. BigDAS 2015: 175-179 - [c15]Hanbyul Yeon, Yun Jang:
Predictive Visual Analytics using Topic Composition. VINCI 2015: 1-8 - [c14]Junghoon Chae, Yuchen Cui, Yun Jang, Guizhen Wang, Abish Malik, David S. Ebert:
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media. EuroVA@EuroVis 2015: 43-47 - 2014
- [j11]Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert:
Public behavior response analysis in disaster events utilizing visual analytics of microblog data. Comput. Graph. 38: 51-60 (2014) - [j10]Abish Malik, Ross Maciejewski, Yun Jang, Silvia Oliveros Torres, Yang Yang, Ben Maule, Matthew White, David S. Ebert:
A visual analytics process for maritime response, resource allocation and risk assessment. Inf. Vis. 13(2): 93-110 (2014) - [c13]Ahmad M. Razip, Abish Malik, Shehzad Afzal, Matthew Potrawski, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert:
A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness. PacificVis 2014: 169-176 - [c12]Sungahn Ko, Shehzad Afzal, Simon J. Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David S. Ebert:
Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration. IEEE VAST 2014: 83-92 - [c11]Adam J. Fairfield, Jonathan Plasencia, Yun Jang, Nicholas Theodore, Neil R. Crawford, David H. Frakes, Ross Maciejewski:
Volume curtaining: a focus+context effect for multimodal volume visualization. Computer-Aided Diagnosis 2014: 903527 - [c10]Silvia Oliveros Torres, Yang Yang, Yun Jang, Ben Maule, David S. Ebert:
Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process. EuroVA@EuroVis 2014 - [p3]David S. Ebert, Kelly P. Gaither, Yun Jang, Sonia Lasher-Trapp:
Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities. Scientific Visualization 2014: 353-360 - [p2]Yun Jang:
Scalable Representation. Scientific Visualization 2014: 375-380 - 2013
- [j9]Ross Maciejewski, Yun Jang, Insoo Woo, Heike Jänicke, Kelly P. Gaither, David S. Ebert:
Abstracting Attribute Space for Transfer Function Exploration and Design. IEEE Trans. Vis. Comput. Graph. 19(1): 94-107 (2013) - [j8]Robert Carnecky, Raphael Fuchs, Stephanie Mehl, Yun Jang, Ronald Peikert:
Smart Transparency for Illustrative Visualization of Complex Flow Surfaces. IEEE Trans. Vis. Comput. Graph. 19(5): 838-851 (2013) - [j7]SungYe Kim, Ross Maciejewski, Abish Malik, Yun Jang, David S. Ebert, Tobias Isenberg:
Bristle Maps: A Multivariate Abstraction Technique for Geovisualization. IEEE Trans. Vis. Comput. Graph. 19(9): 1438-1454 (2013) - [c9]Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert:
Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events. EuroVA@EuroVis 2013 - 2012
- [j6]Sungahn Ko, Ross Maciejewski, Yun Jang, David S. Ebert:
MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data. Comput. Graph. Forum 31(3pt3): 1245-1254 (2012) - [j5]Yun Jang, David S. Ebert, Kelly P. Gaither:
Time-Varying Data Visualization Using Functional Representations. IEEE Trans. Vis. Comput. Graph. 18(3): 421-433 (2012) - [j4]Shehzad Afzal, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert:
Spatial Text Visualization Using Automatic Typographic Maps. IEEE Trans. Vis. Comput. Graph. 18(12): 2556-2564 (2012) - [c8]Abish Malik, Ross Maciejewski, Niklas Elmqvist, Yun Jang, David S. Ebert, Whitney Huang:
A correlative analysis process in a visual analytics environment. IEEE VAST 2012: 33-42 - [c7]Junghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl:
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. IEEE VAST 2012: 143-152 - 2011
- [p1]Ross Maciejewski, Yun Jang, David S. Ebert, Kelly P. Gaither:
Abstract Feature Space Representation for Volumetric Transfer Function Exploration. Scientific Visualization: Interactions, Features, Metaphors 2011: 212-221 - 2010
- [c6]Yun Jang, Raphael Fuchs, Benjamin Schindler, Ronald Peikert:
Volumetric Evaluation of Meshless Data From Smoothed Particle Hydrodynamics Simulations. VG@Eurographics 2010: 45-52
2000 – 2009
- 2009
- [j3]Yun Jang, Ugo Varetto:
Interactive Volume Rendering of Functional Representations in Quantum Chemistry. IEEE Trans. Vis. Comput. Graph. 15(6): 1579-1588 (2009) - 2007
- [b1]Yun Jang:
Procedural encoding and visualization of large volumetric scattered data. Purdue University, USA, 2007 - [c5]Ross Maciejewski, Benjamin Tyner, Yun Jang, Cheng Zheng, Rimma V. Nehme, David S. Ebert, William S. Cleveland, Mourad Ouzzani, Shaun J. Grannis, Lawrence T. Glickman:
LAHVA: Linked Animal-Human Health Visual Analytics. IEEE VAST 2007: 27-34 - [c4]SungYe Kim, Yun Jang, Angela K. Mellema, David S. Ebert, Timothy W. Collins:
Visual Analytics on Mobile Devices for Emergency Response. IEEE VAST 2007: 35-42 - 2006
- [j2]Yun Jang, Ralf Peter Botchen, Andreas Lauser, David S. Ebert, Kelly P. Gaither, Thomas Ertl:
Enhancing the Interactive Visualization of Procedurally Encoded Multifield Data with Ellipsoidal Basis Functions. Comput. Graph. Forum 25(3): 587-596 (2006) - [c3]Avin Pattath, Brian D. Bue, Yun Jang, David S. Ebert, Xuan Zhong, Aaron Ault, Edward J. Coyle:
Interactive Visualization and Analysis of Network and Sensor Data on Mobile Devices. IEEE VAST 2006: 83-90 - 2005
- [j1]Manfred Weiler, Ralf Peter Botchen, Simon Stegmaier, Thomas Ertl, Jingshu Huang, Yun Jang, David S. Ebert, Kelly P. Gaither:
Hardware-Assisted Feature Analysis and Visualization of Procedurally Encoded Multifield Volumetric Data. IEEE Computer Graphics and Applications 25(5): 72-81 (2005) - [c2]Nikolai A. Svakhine, Yun Jang, David S. Ebert, Kelly P. Gaither:
Illustration and Photography Inspired Visualization of Flows and Volumes. IEEE Visualization 2005: 687-694 - 2004
- [c1]Yun Jang, Manfred Weiler, Matthias Hopf, Jingshu Huang, David S. Ebert, Kelly P. Gaither, Thomas Ertl:
Interactively Visualizing Procedurally Encoded Scalar Fields. VisSym 2004: 35-44, 339
Coauthor Index
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last updated on 2024-11-28 21:25 CET by the dblp team
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