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2020 – today
- 2024
[j12]John T. Hancock, Huanjing Wang, Taghi M. Khoshgoftaar, Qianxin Liang:
Data reduction techniques for highly imbalanced medicare Big Data. J. Big Data 11(1): 8 (2024)- [j11]Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar:
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods. J. Big Data 11(1): 44 (2024) - 2023
- [j10]John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar:
Explainable machine learning models for Medicare fraud detection. J. Big Data 10(1): 154 (2023) - [c34]Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar:
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. CogMI 2023: 75-82 - [c33]Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar:
Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique. IRI 2023: 121-126 - [c32]Huanjing Wang, John T. Hancock, Taghi M. Khoshgoftaar:
Improving Medicare Fraud Detection through Big Data Size Reduction Techniques. SOSE 2023: 208-217
2010 – 2019
- 2019
- [c31]Huanjing Wang, Taghi M. Khoshgoftaar:
A Study on Software Metric Selection for Software Fault Prediction. ICMLA 2019: 1045-1050 - [e1]M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem Seliya:
18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019. IEEE 2019, ISBN 978-1-7281-4550-1 [contents] - 2015
- [j9]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality. Int. J. Softw. Eng. Knowl. Eng. 25(1): 93-114 (2015) - [j8]Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya:
On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation. Int. J. Softw. Eng. Knowl. Eng. 25(9-10): 1467-1490 (2015) - [c30]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
Stability of Three Forms of Feature Selection Methods on Software Engineering Data. SEKE 2015: 385-390 - 2014
- [c29]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
Stability of filter- and wrapper-based software metric selection techniques. IRI 2014: 309-314 - [c28]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction. SEKE 2014: 540-545 - 2013
- [j7]Huanjing Wang, Taghi M. Khoshgoftaar, Qianhui Althea Liang:
A Study of Software Metric Selection Techniques: stability Analysis and Defect Prediction Model Performance. Int. J. Artif. Intell. Tools 22(5) (2013) - [c27]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data. ICMLA (2) 2013: 84-89 - [c26]Taghi M. Khoshgoftaar, Alireza Fazelpour, Huanjing Wang, Randall Wald:
A survey of stability analysis of feature subset selection techniques. IRI 2013: 424-431 - [c25]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data. SEKE 2013: 467-472 - 2012
- [j6]Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang:
Exploring filter-based feature selection techniques for software quality classification. Int. J. Inf. Decis. Sci. 4(2/3): 217-250 (2012) - [j5]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
Software measurement data reduction using ensemble techniques. Neurocomputing 92: 124-132 (2012) - [c24]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A Comparative Study on the Stability of Software Metric Selection Techniques. ICMLA (2) 2012: 301-307 - [c23]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data. ICMLA (1) 2012: 317-323 - [c22]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques. IRI 2012: 1-8 - [c21]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
An Empirical Study of Software Metric Selection Techniques for Defect Prediction. SEKE 2012: 94-99 - 2011
- [j4]Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse, Kehan Gao:
Metric Selection for Software Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 21(2): 237-257 (2011) - [j3]Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang, Naeem Seliya:
Choosing software metrics for defect prediction: an investigation on feature selection techniques. Softw. Pract. Exp. 41(5): 579-606 (2011) - [c20]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Huanjing Wang:
Stability Analysis of Feature Ranking Techniques on Biological Datasets. BIBM 2011: 252-256 - [c19]Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya:
How Many Software Metrics Should be Selected for Defect Prediction? FLAIRS 2011 - [c18]Huanjing Wang, Taghi M. Khoshgoftaar, Qianhui Althea Liang:
Stability and Classification Performance of Feature Selection Techniques. ICMLA (1) 2011: 151-156 - [c17]Huanjing Wang, Taghi M. Khoshgoftaar:
Measuring Stability of Threshold-Based Feature Selection Techniques. ICTAI 2011: 986-993 - [c16]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald:
Measuring robustness of Feature Selection techniques on software engineering datasets. IRI 2011: 309-314 - [c15]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
An Empirical Study of Software Metrics Selection Using Support Vector Machine. SEKE 2011: 83-88 - 2010
- [c14]Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse:
A Comparative Study of Threshold-Based Feature Selection Techniques. GrC 2010: 499-504 - [c13]Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction. ICMLA 2010: 135-140 - [c12]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao:
A comparative study of filter-based feature ranking techniques. IRI 2010: 43-48 - [c11]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao:
Ensemble Feature Selection Technique for Software Quality Classification. SEKE 2010: 215-220
2000 – 2009
- 2009
- [c10]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
Mining Data from Multiple Software Development Projects. ICDM Workshops 2009: 551-557 - [c9]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
High-Dimensional Software Engineering Data and Feature Selection. ICTAI 2009: 83-90 - [c8]Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang:
An Empirical Investigation of Filter Attribute Selection Techniques for Software Quality Classification. IRI 2009: 272-277 - [c7]Pengpeng Lin, Huanjing Wang, Taghi M. Khoshgoftaar:
A Novel Hybrid Search Algorithm for Feature Selection. SEKE 2009: 81-86 - 2008
- [c6]Guangming Xing, Zhonghang Xia, Huanjing Wang:
Xdiff+: a visualization system for XML documents and Schemata. ACM Southeast Regional Conference 2008: 40-45 - [c5]Huanjing Wang, Guangming Xing, Kairui Chen:
Categorical Data Transformation Methods for Neural Networks. IKE 2008: 262-266 - 2005
- [j2]Huanjing Wang, Allen S. Parrish, Randy K. Smith, Susan V. Vrbsky:
Improved variable and value ranking techniques for mining categorical traffic accident data. Expert Syst. Appl. 29(4): 795-806 (2005) - [j1]Huanjing Wang, Jingyuan Zhang:
Performance comparison of location areas and reporting centres under individualised mobility models. Int. J. High Perform. Comput. Netw. 3(5/6): 405-416 (2005) - [c4]Susan V. Vrbsky, Randy K. Smith, Allen S. Parrish, Huanjing Wang:
Strategies to Improve Variable Selection Performance. IKE 2005: 209-214 - [c3]Huanjing Wang, Allen S. Parrish, Randy K. Smith, Susan V. Vrbsky:
Variable selection and ranking for analyzing automobile traffic accident data. SAC 2005: 32-37 - 2004
- [c2]Huanjing Wang, Hui-Chuan Chen, Allen S. Parrish:
Automated selection of auto crash causes. ACM Southeast Regional Conference 2004: 375-378 - 2002
- [c1]Huanjing Wang, Guangbin Fan, Jingyuan Zhang:
Performance Comparison of Location Areas and Reporting Centers Under Aggregate Movement Behavior Mobility Models. ICPP 2002: 445-454
Coauthor Index
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