Soo-Yeon Ji

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 18

Top Topics

Visual Analytics

Wavelet Transform

Top Venues

J. Netw. Comput. Appl.

Publications

Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji
Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics. Inf. 15 (6) (2024)
Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji
Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. 14 (1) (2023)
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 (2023)
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) (2022)
Soo-Yeon Ji, Bong-Keun Jeong, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables. J. Netw. Comput. Appl. 203 (2022)
Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
Evaluating visualization approaches to detect abnormal activities in network traffic data. Int. J. Inf. Sec. 20 (3) (2021)
Soo-Yeon Ji, Bong-Keun Jeong, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach. UEMCON (2020)
Duc Manh Doan, Dong Hyun Jeong, Soo-Yeon Ji
Designing a Feature Selection Technique for Analyzing Mixed Data. CCWC (2020)
Soo-Yeon Ji, Dong Hyun Jeong
Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis. BIBE (2020)
Soo-Yeon Ji, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform. UEMCON (2019)
Jonathon Moody, Dong Hyun Jeong, Soo-Yeon Ji
Feature-Based Understanding of Human Emotions. IRI (2019)
Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
An Analysis of Human Emotions by Utilizing Wavelet Features. Int. J. Multim. Data Eng. Manag. 10 (4) (2019)
Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji
Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions. CCWC (2017)
Benjamin Simeon Harvey, Soo-Yeon Ji
Cloud-Scale Genomic Signals Processing for Robust Large-Scale Cancer Genomic Microarray Data Analysis. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Nathan Keegan, Soo-Yeon Ji, Aastha Chaudhary, Claude Concolato, Byunggu Yu, Dong Hyun Jeong
A survey of cloud-based network intrusion detection analysis. Hum. centric Comput. Inf. Sci. 6 (2016)
Soo-Yeon Ji, Bong-Keun Jeong, Seonho Choi, Dong Hyun Jeong
A multi-level intrusion detection method for abnormal network behaviors. J. Netw. Comput. Appl. 62 (2016)
Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method. J. Netw. Syst. Manag. 23 (4) (2015)
Dong Hyun Jeong, Soo-Yeon Ji, Evan A. Suma, Byunggu Yu, Remco Chang
Designing a collaborative visual analytics system to support users' continuous analytical processes. Hum. centric Comput. Inf. Sci. 5 (2015)
Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
Designing a two-level monitoring method to detect network abnormal behaviors. IRI (2014)
Benjamin Simeon Harvey, Soo-Yeon Ji
Cloud-scale genomic signals processing classification analysis for gene expression microarray data. EMBC (2014)
Dong Hyun Jeong, Soo-Yeon Ji, Tera Greensmith, Byunggu Yu, Remco Chang
Understanding implicit and explicit interface tools to perform visual analytics tasks. IRI (2014)
Saurabh Shirgaonkar, Dong Hyun Jeong, Toan Huynh, Soo-Yeon Ji
Designing a robust bleeding detection method for brain CT image analysis. BIBM Workshops (2012)
Kato Mivule, Claude Turner, Soo-Yeon Ji
Towards A Differential Privacy and Utility Preserving Machine Learning Classifier. Complex Adaptive Systems (2012)
Soo-Yeon Ji, Sharad Sharma, Byunggu Yu, Dong Hyun Jeong
Designing a rule-based hourly rainfall prediction model. IRI (2012)
Dong Hyun Jeong, Soo-Yeon Ji, William Ribarsky, Remco Chang
A state transition approach to understanding users' interactions. IEEE VAST (2011)
Simina Vasilache, Nazanin Mirshahi, Soo-Yeon Ji, James Mottonen, Donald J. Jacobs, Kayvan Najarian
A Signal Processing Method to Explore Similarity in Protein Flexibility. Adv. Bioinformatics 2010 (2010)
Abed Al-Raoof Bsoul, Kevin Ward, Kayvan Najarian, Soo-Yeon Ji
A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram. BIBM Workshops (2010)
Soo-Yeon Ji, Rebecca Smith, Toan Huynh, Kayvan Najarian
A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries. BMC Medical Informatics Decis. Mak. 9 (2009)
Roya Hakimzadeh, Soo-Yeon Ji, Rebecca Smith, Kevin Ward, Kasra Daneshvar, Kayvan Najarian
Processing of Transcranial Doppler for Assessment of Blood Volume Loss. IRI (2009)
Wenan Chen, Rebecca Smith, Soo-Yeon Ji, Kevin R. Ward, Kayvan Najarian
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. BMC Medical Informatics Decis. Mak. 9 (S-1) (2009)
Soo-Yeon Ji, Kevin Ward, Kayvan Najarian
Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia. BMC Medical Informatics Decis. Mak. 9 (S-1) (2009)
Simina Vasilache, Rebecca Smith, Soo-Yeon Ji, Kayvan Najarian, Toan Huynh
Outcome prediction in traumatic pelvic injuries using maximum similarity and quality measures. IRI (2008)
Soo-Yeon Ji, Toan Huynh, Kayvan Najarian
A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries. BIBM (2007)
Soo-Yeon Ji, Toan Huynh, Kayvan Najarian
An intelligent method for computer-aided trauma decision making system. ACM Southeast Regional Conference (2007)