Soo-Yeon Ji

Orcid: 0000-0003-2677-2773

According to our database1, Soo-Yeon Ji authored at least 34 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Interactive Web-Based Visual Analysis on Network Traffic Data.
Inf., January, 2023

Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation.
CoRR, 2023

2022
Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables.
J. Netw. Comput. Appl., 2022

Lean IT With Value Stream Mapping Analysis: A Case Study in Software Development Life Cycle Process.
Inf. Resour. Manag. J., 2022

2021
Evaluating visualization approaches to detect abnormal activities in network traffic data.
Int. J. Inf. Sec., 2021

2020
Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Designing a Feature Selection Technique for Analyzing Mixed Data.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
An Analysis of Human Emotions by Utilizing Wavelet Features.
Int. J. Multim. Data Eng. Manag., 2019

An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Feature-Based Understanding of Human Emotions.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

2017
Cloud-Scale Genomic Signals Processing for Robust Large-Scale Cancer Genomic Microarray Data Analysis.
IEEE J. Biomed. Health Informatics, 2017

Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

2016
A multi-level intrusion detection method for abnormal network behaviors.
J. Netw. Comput. Appl., 2016

A survey of cloud-based network intrusion detection analysis.
Hum. centric Comput. Inf. Sci., 2016

2015
Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method.
J. Netw. Syst. Manag., 2015

Designing a collaborative visual analytics system to support users' continuous analytical processes.
Hum. centric Comput. Inf. Sci., 2015

2014
Rule-based Computer Aided Decision Making for Traumatic Brain Injuries.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

Designing a two-level monitoring method to detect network abnormal behaviors.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Understanding implicit and explicit interface tools to perform visual analytics tasks.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Cloud-scale genomic signals processing classification analysis for gene expression microarray data.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012
Towards A Differential Privacy and Utility Preserving Machine Learning Classifier.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Designing a rule-based hourly rainfall prediction model.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Designing a robust bleeding detection method for brain CT image analysis.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
A state transition approach to understanding users' interactions.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

2010
A Signal Processing Method to Explore Similarity in Protein Flexibility.
Adv. Bioinformatics, 2010

A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia.
BMC Medical Informatics Decis. Mak., 2009

A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries.
BMC Medical Informatics Decis. Mak., 2009

Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching.
BMC Medical Informatics Decis. Mak., 2009

Processing of Transcranial Doppler for Assessment of Blood Volume Loss.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

2008
Outcome prediction in traumatic pelvic injuries using maximum similarity and quality measures.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

2007
A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

An intelligent method for computer-aided trauma decision making system.
Proceedings of the 45th Annual Southeast Regional Conference, 2007


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