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Soo-Yeon Ji
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2020 – today
- 2024
- [j15]Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji:
Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics. Inf. 15(6): 351 (2024) - 2023
- [j14]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): 16 (2023) - [i1]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
- [j13]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) - [j12]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: 103392 (2022) - 2021
- [j11]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): 331-345 (2021) - 2020
- [c18]Soo-Yeon Ji, Dong Hyun Jeong:
Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis. BIBE 2020: 17-22 - [c17]Duc Manh Doan, Dong Hyun Jeong, Soo-Yeon Ji:
Designing a Feature Selection Technique for Analyzing Mixed Data. CCWC 2020: 46-52 - [c16]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: 826-832
2010 – 2019
- 2019
- [j10]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): 46-63 (2019) - [c15]Jonathon Moody, Dong Hyun Jeong, Soo-Yeon Ji:
Feature-Based Understanding of Human Emotions. IRI 2019: 275-282 - [c14]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: 666-672 - 2017
- [j9]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): 238-245 (2017) - [c13]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: 1-7 - 2016
- [j8]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: 19 (2016) - [j7]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: 9-17 (2016) - 2015
- [j6]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: 5 (2015) - [j5]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): 998-1015 (2015) - 2014
- [c12]Benjamin Simeon Harvey, Soo-Yeon Ji:
Cloud-scale genomic signals processing classification analysis for gene expression microarray data. EMBC 2014: 1843-1846 - [c11]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: 687-694 - [c10]Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong:
Designing a two-level monitoring method to detect network abnormal behaviors. IRI 2014: 703-709 - [p1]Ashwin Belle, Soo-Yeon Ji, Wenan Chen, Toan Huynh, Kayvan Najarian:
Rule-based Computer Aided Decision Making for Traumatic Brain Injuries. Machine Learning in Healthcare Informatics 2014: 229-259 - 2012
- [c9]Saurabh Shirgaonkar, Dong Hyun Jeong, Toan Huynh, Soo-Yeon Ji:
Designing a robust bleeding detection method for brain CT image analysis. BIBM Workshops 2012: 260-264 - [c8]Soo-Yeon Ji, Sharad Sharma, Byunggu Yu, Dong Hyun Jeong:
Designing a rule-based hourly rainfall prediction model. IRI 2012: 303-308 - [c7]Kato Mivule, Claude Turner, Soo-Yeon Ji:
Towards A Differential Privacy and Utility Preserving Machine Learning Classifier. Complex Adaptive Systems 2012: 176-181 - 2011
- [c6]Dong Hyun Jeong, Soo-Yeon Ji, William Ribarsky, Remco Chang:
A state transition approach to understanding users' interactions. IEEE VAST 2011: 285-286 - 2010
- [j4]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: 454671:1-454671:8 (2010) - [c5]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: 453-460
2000 – 2009
- 2009
- [j3]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: 2 (2009) - [j2]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): S4 (2009) - [j1]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): S6 (2009) - [c4]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: 6-10 - 2008
- [c3]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: 82-85 - 2007
- [c2]Soo-Yeon Ji, Toan Huynh, Kayvan Najarian:
An intelligent method for computer-aided trauma decision making system. ACM Southeast Regional Conference 2007: 198-202 - [c1]Soo-Yeon Ji, Toan Huynh, Kayvan Najarian:
A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries. BIBM 2007: 188-193
Coauthor Index
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