Soo-Yeon Ji

发表

Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach

Nandi O. Leslie, D. Jeong, C. Kamhoua, 2020, 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Automated segmentation of lateral ventricles in brain CT images

Soo-Yeon Ji, K. Najarian, Wenan Chen, 2008, 2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops.

An Integration of Decision Tree and Visual Analysis to Analyze Intracranial Pressure.

D. Jeong, T. Huynh, K. Najarian, 2017, Methods in molecular biology.

Designing a supervised feature selection technique for mixed attribute data analysis

Nandi O. Leslie, D. Jeong, C. Kamhoua, 2022, Machine Learning with Applications.

Evaluating visualization approaches to detect abnormal activities in network traffic data

D. Jeong, Soo-Yeon Ji, Bong-Keun Jeong, 2020, International Journal of Information Security.

Interactive Web-Based Visual Analysis on Network Traffic Data

Lance M. Kaplan, A. Jøsang, D. Jeong, 2022, Inf..

Designing a Feature Selection Technique for Analyzing Mixed Data

Dong Hyun Jeong, Soo-Yeon Ji, Duc Manh Doan, 2020, 2020 10th Annual Computing and Communication Workshop and Conference (CCWC).

A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries

Rebecca Smith, Kayvan Najarian, Soo-Yeon Ji, 2009, BMC Medical Informatics Decis. Mak..

Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis

Dong Hyun Jeong, Soo-Yeon Ji, D. Jeong, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform

Dong Hyun Jeong, Charles Kamhoua, Charles A. Kamhoua, 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Designing a two-level monitoring method to detect network abnormal behaviors

Dong Hyun Jeong, Seonho Choi, Soo-Yeon Ji, 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014).

A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram

Soo-Yeon Ji, Abed Al Raoof Bsoul, K Ward, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Heart rate variability analysis during central hypovolemia using wavelet transformation

Kayvan Najarian, Ashwin Belle, Soo-Yeon Ji, 2013, Journal of Clinical Monitoring and Computing.

Multi-Resolution Analysis with Visualization to Determine Network Attack Patterns

D. Jeong, Soo-Yeon Ji, Bong-Keun Jeong, 2023, Applied Sciences.

Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables

Charles A. Kamhoua, Nandi O. Leslie, D. Jeong, 2022, J. Netw. Comput. Appl..

A multi-level intrusion detection method for abnormal network behaviors

Dong Hyun Jeong, Seonho Choi, Soo-Yeon Ji, 2016, J. Netw. Comput. Appl..

Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method

D. Jeong, Soo-Yeon Ji, Seonho Choi, 2015, Journal of Network and Systems Management.

COMPUTER AIDED TRAUMATIC PELVIC INJURY DECISION MAKING

Kayvan Najarian, Soo-Yeon Ji, Toan Huynh, 2008 .

Towards A Differential Privacy and Utility Preserving Machine Learning Classifier

Kato Mivule, Claude Turner, Soo-Yeon Ji, 2012, Complex Adaptive Systems.

Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia

Kayvan Najarian, Kevin Ward, Soo-Yeon Ji, 2009, BMC Medical Informatics Decis. Mak..

A modified maximum correlation modeling method for fMRI brain mapping; application for detecting dyslexia

K. Najarian, Soo-Yeon Ji, K. Najarian, 2008, 2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops.

Designing a collaborative visual analytics system to support users’ continuous analytical processes

Dong Hyun Jeong, Byunggu Yu, Evan A. Suma, 2015, Human-centric Computing and Information Sciences.

Signature Infrared Bacteria Spectra Analyzed by an Advanced Integrative Computational Approach Developed for Identifying Bacteria Similarity

Ilko K. Ilev, Dong Hyun Jeong, Soo-Yeon Ji, 2019, IEEE Journal of Selected Topics in Quantum Electronics.

COMPUTER-AIDED TRAUMA DECISION MAKING USING MACHINE LEARNING AND SIGNAL PROCESSING

Soo-Yeon Ji, Soo-Yeon Ji, 2008 .

Combining predictive capabilities of transcranial doppler with electrocardiogram to predict hemorrhagic shock

Soo-Yeon Ji, K. Najarian, K. Ward, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Processing of Transcranial Doppler for assessment of blood volume loss

Rebecca Smith, Kayvan Najarian, Kevin Ward, 2009, 2009 IEEE International Conference on Information Reuse & Integration.

A survey of cloud-based network intrusion detection analysis

Dong Hyun Jeong, Byunggu Yu, Soo-Yeon Ji, 2016, Human-centric Computing and Information Sciences.

Evaluating visualization approaches to detect abnormal activities in network traffic data

Dong Hyun Jeong, Soo-Yeon Ji, Bong-Keun Jeong, 2020, International Journal of Information Security.

Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching

Rebecca Smith, Kayvan Najarian, Kevin Ward, 2009, BMC Medical Informatics Decis. Mak..

An Analysis of Human Emotions by Utilizing Wavelet Features

Dong Hyun Jeong, Soo-Yeon Ji, Bong-Keun Jeong, 2019, Int. J. Multim. Data Eng. Manag..

Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions

Dong Hyun Jeong, Soo-Yeon Ji, Bong-Keun Jeong, 2017, 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC).

A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries

Kayvan Najarian, Soo-Yeon Ji, Toan Huynh, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

An intelligent method for computer-aided trauma decision making system

Kayvan Najarian, Soo-Yeon Ji, Toan Huynh, 2007, ACM-SE 45.

Rule-based Computer Aided Decision Making for Traumatic Brain Injuries

Kayvan Najarian, Ashwin Belle, Wenan Chen, 2014, Machine Learning in Healthcare Informatics.

Bmc Medical Informatics and Decision Making Brain Mapping and Detection of Functional Patterns in Fmri Using Wavelet Transform; Application in Detection of Dyslexia

K. Najarian, Kevin Ward, Soo-Yeon Ji, 2009 .

Classification of 3D Magnetic Resonance Images of Brain using Discrete Wavelet Transform

B. Borowski, A. Fleisher, H. Brodaty, 2016 .

BMC Medical Informatics and Decision Making

T. Huynh, K. Najarian, Soo-Yeon Ji, 2009 .