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Dong Hyun Jeong
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2020 – today
- 2024
- [j20]Zhen Guo, Zelin Wan
, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion 101: 101987 (2024) - [j19]Dong Hyun Jeong
Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics. Inf. 15(6): 351 (2024) - [c29]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR 2024 - [i6]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR abs/2404.10980 (2024) - [i5]Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho:
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR abs/2404.18826 (2024) - 2023
- [j18]Dong Hyun Jeong
Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. 14(1): 16 (2023) - [c28]Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen:
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP 2023: 1-5 - [c27]Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS 2023: 722-724 - [i4]Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR abs/2302.10195 (2023) - [i3]Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Audun Jøsang, Soo-Yeon Ji:
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. CoRR abs/2310.01580 (2023) - 2022
- [j17]Bong-Keun Jeong, Soo-Yeon Ji, Dong Hyun Jeong
Lean IT With Value Stream Mapping Analysis: A Case Study in Software Development Life Cycle Process. Inf. Resour. Manag. J. 35(1): 1-18 (2022) - [j16]Soo-Yeon Ji
Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables. J. Netw. Comput. Appl. 203: 103392 (2022) - [i2]Zhen Guo
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR abs/2206.05675 (2022) - [i1]Qisheng Zhang, Zhen Guo
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR abs/2212.06343 (2022) - 2021
- [j15]Soo-Yeon Ji
Evaluating visualization approaches to detect abnormal activities in network traffic data. Int. J. Inf. Sec. 20(3): 331-345 (2021) - 2020
- [c26]Soo-Yeon Ji
Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis. BIBE 2020: 17-22 - [c25]Duc Manh Doan, Dong Hyun Jeong
Designing a Feature Selection Technique for Analyzing Mixed Data. CCWC 2020: 46-52 - [c24]Soo-Yeon Ji
Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach. UEMCON 2020: 826-832
2010 – 2019
- 2019
- [j14]Soo-Yeon Ji, Bong-Keun Jeong
An Analysis of Human Emotions by Utilizing Wavelet Features. Int. J. Multim. Data Eng. Manag. 10(4): 46-63 (2019) - [c23]Jonathon Moody, Dong Hyun Jeong
Feature-Based Understanding of Human Emotions. IRI 2019: 275-282 - [c22]Soo-Yeon Ji
An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform. UEMCON 2019: 666-672 - 2018
- [c21]Duc Manh Doan, Clayton Gordon, Dong Hyun Jeong:
Summit Selection: Designing a Feature Selection Technique to Support Mixed Data Analysis (Abstract Only). SIGCSE 2018: 274 - 2017
- [c20]Dong Hyun Jeong
Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions. CCWC 2017: 1-7 - 2016
- [j13]Nathan Keegan, Soo-Yeon Ji
A survey of cloud-based network intrusion detection analysis. Hum. centric Comput. Inf. Sci. 6: 19 (2016) - [j12]Soo-Yeon Ji
A multi-level intrusion detection method for abnormal network behaviors. J. Netw. Comput. Appl. 62: 9-17 (2016) - [c19]Donghyeok Shin, Junwhan Kim
On avoiding Moving Objects for indoor autonomous quadrotors. CASE 2016: 503-508 - 2015
- [j11]Dong Hyun Jeong
Designing a collaborative visual analytics system to support users' continuous analytical processes. Hum. centric Comput. Inf. Sci. 5: 5 (2015) - [j10]Soo-Yeon Ji
Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method. J. Netw. Syst. Manag. 23(4): 998-1015 (2015) - 2014
- [c18]Dong Hyun Jeong
Understanding implicit and explicit interface tools to perform visual analytics tasks. IRI 2014: 687-694 - [c17]Soo-Yeon Ji
Designing a two-level monitoring method to detect network abnormal behaviors. IRI 2014: 703-709 - 2013
- [j9]Byunggu Yu
An integrated framework for managing sensor data uncertainty using cloud computing. Inf. Syst. 38(8): 1252-1268 (2013) - [c16]Sergey Maydebura, Dong Hyun Jeong
Understanding environmental influences on performing password-based mobile authentication. IRI 2013: 728-731 - 2012
- [j8]R. Jordan Crouser
Two Visualization Tools for Analyzing Agent-Based Simulations in Political Science. IEEE Computer Graphics and Applications 32(1): 67-77 (2012) - [j7]Sherali Zeadally, Byunggu Yu
Detecting Insider Threats: Solutions and Trends. Inf. Secur. J. A Glob. Perspect. 21(4): 183-192 (2012) - [j6]Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong
Toward a deeper understanding of the relationship between interaction constraints and visual isomorphs. Inf. Vis. 11(3): 222-236 (2012) - [c15]Saurabh Shirgaonkar, Dong Hyun Jeong
Designing a robust bleeding detection method for brain CT image analysis. BIBM Workshops 2012: 260-264 - [c14]Byunggu Yu
On Managing Very Large Sensor-Network Data Using Bigtable. CCGRID 2012: 918-922 - [c13]Byunggu Yu
A Bigtable/MapReduce-Based Cloud Infrastructure for Effectively and Efficiently Managing Large-Scale Sensor Networks. Globe 2012: 25-36 - [c12]Soo-Yeon Ji
Designing a rule-based hourly rainfall prediction model. IRI 2012: 303-308 - 2011
- [c11]Dong Hyun Jeong
A state transition approach to understanding users' interactions. IEEE VAST 2011: 285-286 - 2010
- [c10]Yang Chen, Jing Yang, Scott Barlowe, Dong Hyun Jeong
Touch2Annotate: generating better annotations with less human effort on multi-touch interfaces. CHI Extended Abstracts 2010: 3703-3708 - [c9]Tera Marie Green, Dong Hyun Jeong
Using Personality Factors to Predict Interface Learning Performance. HICSS 2010: 1-10 - [c8]Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong
Comparing different levels of interaction constraints for deriving visual problem isomorphs. IEEE VAST 2010: 195-202 - [c7]Dong Hyun Jeong
A continuous analysis process between desktop and collaborative visual analytics environments. IEEE VAST 2010: 231-232
2000 – 2009
- 2009
- [j5]Xiaoyu Wang, Dong Hyun Jeong
Defining and applying knowledge conversion processes to a visual analytics system. Comput. Graph. 33(5): 616-623 (2009) - [j4]Wenwen Dou, Dong Hyun Jeong
Recovering Reasoning Processes from User Interactions. IEEE Computer Graphics and Applications 29(3): 52-61 (2009) - [j3]Dong Hyun Jeong
iPCA: An Interactive System for PCA-based Visual Analytics. Comput. Graph. Forum 28(3): 767-774 (2009) - [j2]Dong Hyun Jeong
User experimentation: an evaluation of velocity control techniques in immersive virtual environments. Virtual Real. 13(1): 41-50 (2009) - [c6]Dong Hyun Jeong
Comparing two interface tools in performing visual analytics tasks. IEEE VAST 2009: 219-220 - 2008
- [j1]Dong Hyun Jeong
Interactive visual analysis of time-series microarray data. Vis. Comput. 24(12): 1053-1066 (2008) - [c5]Dong Hyun Jeong
Evaluating the relationship between user interaction and financial visual analysis. IEEE VAST 2008: 83-90 - 2005
- [c4]Alireza Darvish, Kayvan Najarian, Dong Hyun Jeong, William Ribarsky:
System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways. CIBCB 2005: 76-81 - [c3]Jin Hong, Dong Hyun Jeong, Christopher D. Shaw, William Ribarsky, Mark Borodovsky, Chang Geun Song:
GVis: A Scalable Visualization Framework for Genomic Data. EuroVis 2005: 191-198 - 2004
- [c2]Dong Hyun Jeong, Young Hye Jeon, Jeom Keun Kim, Songyong Sim, Chang Geun Song:
Force-based velocity control technique in immersive V.E. GRAPHITE 2004: 237-241 - 2000
- [c1]Chang Geun Song, No Jun Kwak, Dong Hyun Jeong
Developing an efficient technique of selection and manipulation in immersive V.E.. VRST 2000: 142-146
Coauthor Index
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