An intelligent method for computer-aided trauma decision making system. - Soo-Yeon Ji; Toan Huynh; Kayvan Najarian (ACM Southeast Regional Conference, 2007)

A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries. - Soo-Yeon Ji; Toan Huynh; Kayvan Najarian (BIBM, 2007)

Outcome prediction in traumatic pelvic injuries using maximum similarity and quality measures. - Simina Vasilache; Rebecca Smith; Soo-Yeon Ji; Kayvan Najarian; Toan Huynh (IRI, 2008)

Processing of Transcranial Doppler for Assessment of Blood Volume Loss. - Roya Hakimzadeh; Soo-Yeon Ji; Rebecca Smith; Kevin Ward; Kasra Daneshvar; Kayvan Najarian (IRI, 2009)

Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. - Wenan Chen; Rebecca Smith; Soo-Yeon Ji; Kevin R. Ward; Kayvan Najarian (BMC Medical Informatics Decis. Mak., 2009)

A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries. - Soo-Yeon Ji; Rebecca Smith; Toan Huynh; Kayvan Najarian (BMC Medical Informatics Decis. Mak., 2009)

Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia. - Soo-Yeon Ji; Kevin Ward; Kayvan Najarian (BMC Medical Informatics Decis. Mak., 2009)

A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram. - Abed Al-Raoof Bsoul; Kevin Ward; Kayvan Najarian; Soo-Yeon Ji (BIBM Workshops, 2010)

A Signal Processing Method to Explore Similarity in Protein Flexibility. - Simina Vasilache; Nazanin Mirshahi; Soo-Yeon Ji; James Mottonen; Donald J. Jacobs; Kayvan Najarian (Adv. Bioinformatics, 2010)

A state transition approach to understanding users' interactions. - Dong Hyun Jeong; Soo-Yeon Ji; William Ribarsky; Remco Chang (IEEE VAST, 2011)

Designing a robust bleeding detection method for brain CT image analysis. - Saurabh Shirgaonkar; Dong Hyun Jeong; Toan Huynh; Soo-Yeon Ji (BIBM Workshops, 2012)

Designing a rule-based hourly rainfall prediction model. - Soo-Yeon Ji; Sharad Sharma; Byunggu Yu; Dong Hyun Jeong (IRI, 2012)

Towards A Differential Privacy and Utility Preserving Machine Learning Classifier. - Kato Mivule; Claude Turner; Soo-Yeon Ji (Complex Adaptive Systems, 2012)

Cloud-scale genomic signals processing classification analysis for gene expression microarray data. - Benjamin Simeon Harvey; Soo-Yeon Ji (EMBC, 2014)

Understanding implicit and explicit interface tools to perform visual analytics tasks. - Dong Hyun Jeong; Soo-Yeon Ji; Tera Greensmith; Byunggu Yu; Remco Chang (IRI, 2014)

Designing a two-level monitoring method to detect network abnormal behaviors. - Soo-Yeon Ji; Seonho Choi; Dong Hyun Jeong (IRI, 2014)

Rule-based Computer Aided Decision Making for Traumatic Brain Injuries. - Ashwin Belle; Soo-Yeon Ji; Wenan Chen; Toan Huynh; Kayvan Najarian (Machine Learning in Healthcare Informatics, 2014)

Designing a collaborative visual analytics system to support users' continuous analytical processes. - Dong Hyun Jeong; Soo-Yeon Ji; Evan A. Suma; Byunggu Yu; Remco Chang (Hum. centric Comput. Inf. Sci., 2015)

Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method. - Soo-Yeon Ji; Seonho Choi; Dong Hyun Jeong (J. Netw. Syst. Manag., 2015)

A survey of cloud-based network intrusion detection analysis. - Nathan Keegan; Soo-Yeon Ji; Aastha Chaudhary; Claude Concolato; Byunggu Yu; Dong Hyun Jeong (Hum. centric Comput. Inf. Sci., 2016)

A multi-level intrusion detection method for abnormal network behaviors. - Soo-Yeon Ji; Bong-Keun Jeong; Seonho Choi; Dong Hyun Jeong (J. Netw. Comput. Appl., 2016)

Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions. - Dong Hyun Jeong; Bong-Keun Jeong; Soo-Yeon Ji (CCWC, 2017)

Cloud-Scale Genomic Signals Processing for Robust Large-Scale Cancer Genomic Microarray Data Analysis. - Benjamin Simeon Harvey; Soo-Yeon Ji (IEEE J. Biomed. Health Informatics, 2017)

Feature-Based Understanding of Human Emotions. - Jonathon Moody; Dong Hyun Jeong; Soo-Yeon Ji (IRI, 2019)

An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform. - Soo-Yeon Ji; Charles A. Kamhoua; Nandi Leslie; Dong Hyun Jeong (UEMCON, 2019)

An Analysis of Human Emotions by Utilizing Wavelet Features. - Soo-Yeon Ji; Bong-Keun Jeong; Dong Hyun Jeong (Int. J. Multim. Data Eng. Manag., 2019)

Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis. - Soo-Yeon Ji; Dong Hyun Jeong (BIBE, 2020)

Designing a Feature Selection Technique for Analyzing Mixed Data. - Duc Manh Doan; Dong Hyun Jeong; Soo-Yeon Ji (CCWC, 2020)

Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach. - Soo-Yeon Ji; Bong-Keun Jeong; Charles A. Kamhoua; Nandi Leslie; Dong Hyun Jeong (UEMCON, 2020)

Evaluating visualization approaches to detect abnormal activities in network traffic data. - Soo-Yeon Ji; Bong-Keun Jeong; Dong Hyun Jeong (Int. J. Inf. Sec., 2021)

Lean IT With Value Stream Mapping Analysis: A Case Study in Software Development Life Cycle Process. - Bong-Keun Jeong; Soo-Yeon Ji; Dong Hyun Jeong (Inf. Resour. Manag. J., 2022)

Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables. - Soo-Yeon Ji; Bong-Keun Jeong; Charles A. Kamhoua; Nandi Leslie; Dong Hyun Jeong (J. Netw. Comput. Appl., 2022)

Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. - Dong Hyun Jeong; Jin-Hee Cho; Feng Chen 001; Audun Jøsang; Soo-Yeon Ji (CoRR, 2023)

Interactive Web-Based Visual Analysis on Network Traffic Data. - Dong Hyun Jeong; Jin-Hee Cho; Feng Chen 001; Lance M. Kaplan; Audun Jøsang; Soo-Yeon Ji (Inf., 2023)

Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics. - Dong Hyun Jeong; Bong-Keun Jeong; Soo-Yeon Ji (Inf., 2024)